From 4b1768ef811c3b4913a4d515c89cecd26d8b9d55 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 27 Mar 2023 14:04:45 +0300
Subject: [PATCH 001/110] order the task types in task-type.md

---
 task-archieve/task-type.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index ba4dc87..dd19e91 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -7,12 +7,12 @@ _Tasks grouped by_ `Task Type`
 - __Two Pointers One Array__
   - [Container With Most Water](./most-water/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
+- __Two Pointers One Array Sliding Window__
+  - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
 - __Two Pointers Two Arrays__
   - [Intersection of intervals](./intersection-intervals/task.md)
 - __One Pointer One Array and One or More Counters__
   - [Longest sequence of 1's](./longest-sequence-of-1s/task.md)
-- __Two Pointers Sliding Window Array__
-  - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
 - __Array Relation of Indexes and Values or Indexes to Values__
   - [Zigzag Conversion](./zigzag-conversion/task.md)
 - __In-Place Swap and Overwrite__

From bd86c0b5ad48c24de75921e597ee54c561cc6bfb Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 27 Mar 2023 22:54:20 +0300
Subject: [PATCH 002/110] write description for best time to buy and sell stock
 task

---
 .../best-time-to-buy-and-sell-stock/task.md   | 35 +++++++++++++++++++
 task-archieve/task-type.md                    |  7 ++--
 2 files changed, 39 insertions(+), 3 deletions(-)

diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index 3aafedf..2ab5816 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -1,5 +1,40 @@
 # Best Time to Buy and Sell Stock
 
+You are given an array `prices` where `prices[i]` is the price of a given stock on the `i`th day
+
+You want to maximize your profit by choosing a __single day__ to buy one stock and choosing a __different day in the future__ to sell that stock
+
+Return _the maximum profit you can achieve from this transaction_. If you cannot achieve any profit, return `0`
+
+__Example 1:__
+
+```
+Input: prices = [7,1,5,3,6,4]
+Output: 5
+Explanation: Buy on day 2 (price = 1) and sell on day 5 (price = 6), profit = 6-1 = 5
+Note that buying on day 2 and selling on day 1 is not allowed because you must buy before you sell
+```
+
+__Example 2:__
+
+```
+Input: prices = [7,6,4,3,1]
+Output: 0
+Explanation: In this case, no transactions are done and the max profit = 0
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+This is a task for two pointers, particularly when they both move left to right (like in [this](../longest-letter-subsequence/task.md) task) and _not_ from end or start (like in [this](../most-water/task.md) task). Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have left pointer behind right pointer and per iteration we either increment left pointer or right pointer or per iteration we increment both left and right pointers is called "_Sliding Window_"
+
+You should also note that with Sliding Window technique you don't have to always increment left pointer by one or right pointer by one: the pointers can be set to any index they want so long as left is behind right. Indeed left pointer may even go to the same position as right pointer while right pointer increments by one to be ahead of left pointer. As you can see this Sliding Window we have been talking about may shrink and expand at will
+
+__Note:__ [this task](../longest-letter-subsequence/task.md) is likewise Sliding Window but since Sliding Window Task Type is also Two Pointers Task Type it is listed in that category as well
+
+</details>
+
 ---
 
 | [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index dd19e91..2987088 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -9,17 +9,18 @@ _Tasks grouped by_ `Task Type`
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 - __Two Pointers One Array Sliding Window__
   - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
+  - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 - __Two Pointers Two Arrays__
   - [Intersection of intervals](./intersection-intervals/task.md)
-- __One Pointer One Array and One or More Counters__
+- __One Pointer One Array and One or More Counters or Stack or HashMap__
   - [Longest sequence of 1's](./longest-sequence-of-1s/task.md)
 - __Array Relation of Indexes and Values or Indexes to Values__
   - [Zigzag Conversion](./zigzag-conversion/task.md)
+- __While Loop and Stack__
+  - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
 - __In-Place Swap and Overwrite__
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
   - [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)
-- __While Loop and Stack__
-  - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
 - __Matrix__
   - [Sort the Matrix diagonally](./matrix-diagonal-sort/task.md)
 - __Numbers Math__

From e300a17b7411e6fd0aa29fd765fbbb7d2b970729 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 28 Mar 2023 11:40:59 +0300
Subject: [PATCH 003/110] create Contiguous Array task

---
 task-archieve/README.md                    |  1 +
 task-archieve/contiguous-array/solution.js | 33 +++++++++++++++++
 task-archieve/contiguous-array/task.md     | 42 ++++++++++++++++++++++
 task-archieve/task-type.md                 |  3 +-
 4 files changed, 78 insertions(+), 1 deletion(-)
 create mode 100644 task-archieve/contiguous-array/solution.js
 create mode 100644 task-archieve/contiguous-array/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 165f20d..5d311b7 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -18,3 +18,4 @@ _List of tasks_
 - [Climbing Stairs](./climb-stairs/task.md)
 - [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)
 - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
+- [Contiguous Array](./contiguous-array/task.md)
diff --git a/task-archieve/contiguous-array/solution.js b/task-archieve/contiguous-array/solution.js
new file mode 100644
index 0000000..3988504
--- /dev/null
+++ b/task-archieve/contiguous-array/solution.js
@@ -0,0 +1,33 @@
+function findMaxLength(nums) {
+    const prevCounters = {};
+    let maxLength = 0;
+    let counter = 0;
+    let i = 0;
+
+    while (i < nums.length) {
+        const value = nums[i];
+
+        if (value === 0) {
+            counter--;
+        }
+
+        if (value === 1) {
+            counter++;
+        }
+
+        if (counter === 0) {
+            maxLength = i + 1;
+        }
+
+        if (counter in prevCounters) {
+            const prevIndex = prevCounters[counter];
+            maxLength = Math.max(maxLength, i - prevIndex);
+        } else {
+            prevCounters[counter] = i; // store the first unique counter value
+        }
+
+        i++;
+    }
+
+    return maxLength;
+}
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
new file mode 100644
index 0000000..60de168
--- /dev/null
+++ b/task-archieve/contiguous-array/task.md
@@ -0,0 +1,42 @@
+# Contiguous Array
+
+Given a binary array `nums`, return _the maximum length of a contiguous subarray with an equal number of_ `0` _and_ `1`
+
+__Example 1:__
+
+```
+Input: nums = [0,1]
+Output: 2
+Explanation: [0, 1] is the longest contiguous subarray with an equal number of 0 and 1
+```
+
+__Example 2:__
+
+```
+Input: nums = [0,1,0]
+Output: 2
+Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal number of 0 and 1
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+It is a One Pointer + Counter + Hashmap type of task
+
+</details>
+
+<details>
+
+<summary>Hint</summary>
+
+In order to find the longest contiguous subarray with equal number of `0` and `1` create a counter that we increment by one if we encounter `1` and decrement by one when we encounter `0` as we loop through the array. If the counter becomes zero it means we have gone thru as many `1`s as there were `0`s
+
+The key point to solving this task is to realize that we don't have to always arrive at counter equal to zero, we will also have a contiguous array with equal number of `0` and `1` if our counter arrives at the same value as it has already been before meaning that it looped through an equal number of `1` and `0`
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| :---: | :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 2987088..a0a80c6 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -12,8 +12,9 @@ _Tasks grouped by_ `Task Type`
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 - __Two Pointers Two Arrays__
   - [Intersection of intervals](./intersection-intervals/task.md)
-- __One Pointer One Array and One or More Counters or Stack or HashMap__
+- __One Pointer One Array + One or More Counters or Stack or HashMap__
   - [Longest sequence of 1's](./longest-sequence-of-1s/task.md)
+  - [Contiguous Array](./contiguous-array/task.md)
 - __Array Relation of Indexes and Values or Indexes to Values__
   - [Zigzag Conversion](./zigzag-conversion/task.md)
 - __While Loop and Stack__

From 0cca32707322fc26a257a4e65c53a52b06dd31c4 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 28 Mar 2023 12:38:01 +0300
Subject: [PATCH 004/110] create max product subarray task

---
 task-archieve/README.md                       |  1 +
 task-archieve/combinations/task.md            |  2 +-
 task-archieve/contiguous-array/task.md        |  4 +-
 task-archieve/keygen/task.md                  |  2 +-
 .../longest-letter-subsequence/task.md        |  2 +-
 task-archieve/longest-sequence-of-1s/task.md  |  2 +-
 task-archieve/matrix-diagonal-sort/task.md    |  2 +-
 .../maximum-product-subarray/solution.js      | 29 +++++++++++++
 .../maximum-product-subarray/task.md          | 42 +++++++++++++++++++
 task-archieve/most-water/task.md              |  2 +-
 task-archieve/remove-duplicates-v2/task.md    |  2 +-
 task-archieve/sort-letters-two-arrays/task.md |  2 +-
 task-archieve/task-type.md                    |  1 +
 task-archieve/zigzag-conversion/task.md       |  2 +-
 14 files changed, 84 insertions(+), 11 deletions(-)
 create mode 100644 task-archieve/maximum-product-subarray/solution.js
 create mode 100644 task-archieve/maximum-product-subarray/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 5d311b7..27f0d8c 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -19,3 +19,4 @@ _List of tasks_
 - [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)
 - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
 - [Contiguous Array](./contiguous-array/task.md)
+- [Maximum Product Subarray](./maximum-product-subarray/task.md)
diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
index 314bd29..673c749 100644
--- a/task-archieve/combinations/task.md
+++ b/task-archieve/combinations/task.md
@@ -83,5 +83,5 @@ __Note:__ we called the recursive function inside the `backtrack` function as `d
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index 60de168..816e0c5 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -22,7 +22,7 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
 <summary>Task Type</summary>
 
-It is a One Pointer + Counter + Hashmap type of task
+It is an Array One Pointer + Counter + Hashmap type of task
 
 </details>
 
@@ -38,5 +38,5 @@ The key point to solving this task is to realize that we don't have to always ar
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/keygen/task.md b/task-archieve/keygen/task.md
index ea7b99a..4007879 100644
--- a/task-archieve/keygen/task.md
+++ b/task-archieve/keygen/task.md
@@ -27,5 +27,5 @@ This is more of a numbers task type than any of the array task types
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index b3993c2..fded691 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -28,5 +28,5 @@ But for this particular task you may also need to enable the _power of hashmap_
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/longest-sequence-of-1s/task.md b/task-archieve/longest-sequence-of-1s/task.md
index 54c4a30..2c983c7 100644
--- a/task-archieve/longest-sequence-of-1s/task.md
+++ b/task-archieve/longest-sequence-of-1s/task.md
@@ -20,5 +20,5 @@ It is one of those tasks where you use one pointer to iterate the array as well
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/matrix-diagonal-sort/task.md b/task-archieve/matrix-diagonal-sort/task.md
index e04422e..42e533b 100644
--- a/task-archieve/matrix-diagonal-sort/task.md
+++ b/task-archieve/matrix-diagonal-sort/task.md
@@ -43,5 +43,5 @@ This is a Matrix type task using Matrix mechanics or you could also say that you
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/maximum-product-subarray/solution.js b/task-archieve/maximum-product-subarray/solution.js
new file mode 100644
index 0000000..3355c90
--- /dev/null
+++ b/task-archieve/maximum-product-subarray/solution.js
@@ -0,0 +1,29 @@
+function maxProduct(nums) {
+    let maxProduct = -Infinity;
+    let counter = 1;
+
+    for (let i = 0; i < nums.length; i++) {
+        counter *= nums[i];
+        maxProduct = Math.max(maxProduct, counter);
+
+        if (counter === 0) {
+            counter = 1;
+        }
+    }
+
+    counter = 1;
+
+    for (let i = nums.length - 1; i >= 0; i--) {
+        counter *= nums[i];
+        maxProduct = Math.max(maxProduct, counter);
+
+        if (counter === 0) {
+            counter = 1;
+        }
+    }
+
+    return maxProduct === -Infinity ? 0 : maxProduct;
+}
+
+console.log(maxProduct([-2])); // -2
+console.log(maxProduct([-8,5,3,1,6])); // 90
diff --git a/task-archieve/maximum-product-subarray/task.md b/task-archieve/maximum-product-subarray/task.md
new file mode 100644
index 0000000..653554d
--- /dev/null
+++ b/task-archieve/maximum-product-subarray/task.md
@@ -0,0 +1,42 @@
+# Maximum Product Subarray
+
+Given an integer array `nums`, find a subarray that has the largest product, and return _the product_
+
+__Example 1:__
+
+```
+Input: nums = [2,3,-2,4]
+Output: 6
+Explanation: [2,3] has the largest product 6
+```
+
+__Example 2:__
+
+```
+Input: nums = [-2,0,-1]
+Output: 0
+Explanation: The result cannot be 2, because [-2,-1] is not a subarray
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+This is more of a numbers task type than any of the array task types
+
+</details>
+
+<details>
+
+<summary>Hint</summary>
+
+Since the product of two negatives is a positive we should be fine _unless_ there is only one negative in the array making the entire product negative, like here: `[-8,5,3,1,6]`
+
+This is why we need to look for the biggest product first going left to right and then going right to left
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/most-water/task.md b/task-archieve/most-water/task.md
index b7ab77d..a015381 100644
--- a/task-archieve/most-water/task.md
+++ b/task-archieve/most-water/task.md
@@ -57,5 +57,5 @@ Start with the maximum width container and go to a shorter width container if th
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/remove-duplicates-v2/task.md b/task-archieve/remove-duplicates-v2/task.md
index 0efaf4f..3832e19 100644
--- a/task-archieve/remove-duplicates-v2/task.md
+++ b/task-archieve/remove-duplicates-v2/task.md
@@ -46,5 +46,5 @@ _In computer science, an in-place algorithm is an algorithm which transforms inp
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
index 017b981..e887a23 100644
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ b/task-archieve/sort-letters-two-arrays/task.md
@@ -71,5 +71,5 @@ function sort(array, order) {
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index a0a80c6..0dd5764 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -26,6 +26,7 @@ _Tasks grouped by_ `Task Type`
   - [Sort the Matrix diagonally](./matrix-diagonal-sort/task.md)
 - __Numbers Math__
   - [Keygen](./keygen/task.md)
+  - [Maximum Product Subarray](./maximum-product-subarray/task.md)
 - __Fibonacci Sequence__
   - [Climbing Stairs](./climb-stairs/task.md)
 - __Check if Puzzle is Solvable__
diff --git a/task-archieve/zigzag-conversion/task.md b/task-archieve/zigzag-conversion/task.md
index d93013d..08a5876 100644
--- a/task-archieve/zigzag-conversion/task.md
+++ b/task-archieve/zigzag-conversion/task.md
@@ -85,5 +85,5 @@ To solve this task you need to analyze the _relation_ between the indexes of the
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |

From 730612e72deb437de0dc4b473a09727a94c22641 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 28 Mar 2023 18:48:12 +0300
Subject: [PATCH 005/110] write down Longest Substring Without Repeating
 Characters task

---
 task-archieve/README.md                       |  1 +
 task-archieve/combinations/task.md            |  2 +-
 .../longest-letter-subsequence/task.md        |  8 ++++
 .../solution.js                               | 31 ++++++++++++++
 .../task.md                                   | 41 +++++++++++++++++++
 task-archieve/task-type.md                    |  2 +-
 6 files changed, 83 insertions(+), 2 deletions(-)
 create mode 100644 task-archieve/longest-substring-without-repeating-characters/solution.js
 create mode 100644 task-archieve/longest-substring-without-repeating-characters/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 27f0d8c..8d872c7 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -19,4 +19,5 @@ _List of tasks_
 - [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)
 - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
 - [Contiguous Array](./contiguous-array/task.md)
+- [Longest Substring Without Repeating Characters](./longest-substring-without-repeating-characters/task.md)
 - [Maximum Product Subarray](./maximum-product-subarray/task.md)
diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
index 673c749..6e72331 100644
--- a/task-archieve/combinations/task.md
+++ b/task-archieve/combinations/task.md
@@ -25,7 +25,7 @@ Explanation: There is 1 choose 1 = 1 total combination
 
 <summary>Task Type</summary>
 
-This task is for __*Recursive Backtracking*__
+This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__
 
 </details>
 
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index fded691..41c2dd1 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -26,6 +26,14 @@ But for this particular task you may also need to enable the _power of hashmap_
 
 </details>
 
+<details>
+
+<summary>Similar Tasks</summary>
+
+- [Longest Substring Without Repeating Characters](../longest-substring-without-repeating-characters/task.md)
+
+</details>
+
 ---
 
 | [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
diff --git a/task-archieve/longest-substring-without-repeating-characters/solution.js b/task-archieve/longest-substring-without-repeating-characters/solution.js
new file mode 100644
index 0000000..8317bba
--- /dev/null
+++ b/task-archieve/longest-substring-without-repeating-characters/solution.js
@@ -0,0 +1,31 @@
+function lengthOfLongestSubstring(s) {
+    let left = 0;
+    let right = 0;
+    let maxLength = 0;
+    const repeated = {};
+
+    while (right < s.length) {
+        const letter = s[right];
+
+        if (!(letter in repeated)) {
+            repeated[letter] = 1;
+        } else {
+            repeated[letter]++;
+        }
+
+        while (repeated[letter] > 1) {
+            const leftLetter = s[left];
+            repeated[leftLetter]--;
+            left++;
+
+            if (repeated[leftLetter] === 0) {
+                delete repeated[leftLetter];
+            }
+        }
+
+        maxLength = Math.max(maxLength, right - left + 1);
+        right++;
+    }
+
+    return maxLength;
+}
diff --git a/task-archieve/longest-substring-without-repeating-characters/task.md b/task-archieve/longest-substring-without-repeating-characters/task.md
new file mode 100644
index 0000000..1878744
--- /dev/null
+++ b/task-archieve/longest-substring-without-repeating-characters/task.md
@@ -0,0 +1,41 @@
+# Longest Substring Without Repeating Characters
+
+Given a string `s`, find the length of the __longest substring__ without repeating characters
+
+__Example 1:__
+
+```
+Input: s = "abcabcbb"
+Output: 3
+Explanation: The answer is "abc", with the length of 3
+```
+
+__Example 2:__
+
+```
+Input: s = "bbbbb"
+Output: 1
+Explanation: The answer is "b", with the length of 1
+```
+
+__Example 3:__
+
+```
+Input: s = "pwwkew"
+Output: 3
+Explanation: The answer is "wke", with the length of 3
+Notice that the answer must be a substring, "pwke" is a subsequence and not a substring
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+Sliding Window + HashMap
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 0dd5764..6f73893 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -8,8 +8,8 @@ _Tasks grouped by_ `Task Type`
   - [Container With Most Water](./most-water/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 - __Two Pointers One Array Sliding Window__
-  - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
+  - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
 - __Two Pointers Two Arrays__
   - [Intersection of intervals](./intersection-intervals/task.md)
 - __One Pointer One Array + One or More Counters or Stack or HashMap__

From 79e50b886fc9ef7c6a205dfb85da8b12f7645211 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 30 Mar 2023 18:03:24 +0300
Subject: [PATCH 006/110] create fruits task

---
 task-archieve/README.md                       |  1 +
 task-archieve/fruit-into-baskets/solution.js  | 33 +++++++++++
 task-archieve/fruit-into-baskets/task.md      | 56 +++++++++++++++++++
 .../longest-letter-subsequence/task.md        |  1 +
 4 files changed, 91 insertions(+)
 create mode 100644 task-archieve/fruit-into-baskets/solution.js
 create mode 100644 task-archieve/fruit-into-baskets/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 8d872c7..5eb3502 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -21,3 +21,4 @@ _List of tasks_
 - [Contiguous Array](./contiguous-array/task.md)
 - [Longest Substring Without Repeating Characters](./longest-substring-without-repeating-characters/task.md)
 - [Maximum Product Subarray](./maximum-product-subarray/task.md)
+- [Fruit Into Baskets](./fruit-into-baskets/task.md)
diff --git a/task-archieve/fruit-into-baskets/solution.js b/task-archieve/fruit-into-baskets/solution.js
new file mode 100644
index 0000000..f166610
--- /dev/null
+++ b/task-archieve/fruit-into-baskets/solution.js
@@ -0,0 +1,33 @@
+function totalFruit(fruits) {
+    let left = 0;
+    let right = 0;
+    let maxCount = 0;
+    const fruitTypes = {};
+
+    while (right < fruits.length) {
+        const fruitType = fruits[right];
+
+        if (!(fruitType in fruitTypes)) {
+            fruitTypes[fruitType] = 1;
+        } else {
+            fruitTypes[fruitType]++;
+        }
+
+        while (Object.keys(fruitTypes).length > 2) {
+            const leftFruitType = fruits[left];
+
+            fruitTypes[leftFruitType]--;
+
+            if (fruitTypes[leftFruitType] === 0) {
+                delete fruitTypes[leftFruitType];
+            }
+
+            left++;
+        }
+
+        maxCount = Math.max(maxCount, right - left + 1);
+        right++;
+    }
+
+    return maxCount;
+}
diff --git a/task-archieve/fruit-into-baskets/task.md b/task-archieve/fruit-into-baskets/task.md
new file mode 100644
index 0000000..c8b9f91
--- /dev/null
+++ b/task-archieve/fruit-into-baskets/task.md
@@ -0,0 +1,56 @@
+# Fruit Into Baskets
+
+You are visiting a farm that has a single row of fruit trees arranged from left to right. The trees are represented by an integer array `fruits` where `fruits[i]` is the __type__ of fruit the `i`th tree produces
+
+You want to collect as much fruit as possible. However, the owner has some strict rules that you must follow:
+
+- You only have __two__ baskets, and each basket can only hold a __single type__ of fruit. There is no limit on the amount of fruit each basket can hold
+- Starting from any tree of your choice, you must pick __exactly one fruit__ from __every__ tree (including the start tree) while moving to the right. The picked fruits must fit in one of your baskets
+- Once you reach a tree with fruit that cannot fit in your baskets, you must stop
+
+Given the integer array `fruits`, return _the __maximum__ number of fruits you can pick_
+
+__Example 1:__
+
+```
+Input: fruits = [1,2,1]
+                 ^ ^ ^
+Output: 3
+
+Explanation: We can pick from all 3 trees
+```
+
+__Example 2:__
+
+```
+Input: fruits = [0,1,2,2]
+                   ^ ^ ^
+Output: 3
+
+Explanation: We can pick from trees [1,2,2]
+If we had started at the first tree, we would only pick from trees [0,1]
+```
+
+__Example 3:__
+
+```
+Input: fruits = [1,2,3,2,2]
+                   ^ ^ ^ ^
+Output: 4
+
+Explanation: We can pick from trees [2,3,2,2]
+If we had started at the first tree, we would only pick from trees [1,2]
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+Sliding Window + HashMap
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 41c2dd1..3508380 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -31,6 +31,7 @@ But for this particular task you may also need to enable the _power of hashmap_
 <summary>Similar Tasks</summary>
 
 - [Longest Substring Without Repeating Characters](../longest-substring-without-repeating-characters/task.md)
+- [Fruit Into Baskets](../fruit-into-baskets/task.md)
 
 </details>
 

From 998f706c0cc40460dd817d29ac59632e0a1ff56e Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 30 Mar 2023 21:53:17 +0300
Subject: [PATCH 007/110] create single number task

---
 task-archieve/README.md                 |  1 +
 task-archieve/single-number/solution.js |  9 ++++++
 task-archieve/single-number/task.md     | 40 +++++++++++++++++++++++++
 task-archieve/task-type.md              |  1 +
 4 files changed, 51 insertions(+)
 create mode 100644 task-archieve/single-number/solution.js
 create mode 100644 task-archieve/single-number/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 5eb3502..b02c580 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -22,3 +22,4 @@ _List of tasks_
 - [Longest Substring Without Repeating Characters](./longest-substring-without-repeating-characters/task.md)
 - [Maximum Product Subarray](./maximum-product-subarray/task.md)
 - [Fruit Into Baskets](./fruit-into-baskets/task.md)
+- [Single Number](./single-number/task.md)
diff --git a/task-archieve/single-number/solution.js b/task-archieve/single-number/solution.js
new file mode 100644
index 0000000..2c8d89a
--- /dev/null
+++ b/task-archieve/single-number/solution.js
@@ -0,0 +1,9 @@
+function singleNumber(nums) {
+    let xor = 0;
+
+    for (const num of nums) {
+        xor ^= num;
+    }
+
+    return xor;
+}
diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
new file mode 100644
index 0000000..b74de2d
--- /dev/null
+++ b/task-archieve/single-number/task.md
@@ -0,0 +1,40 @@
+# Single Number
+
+Given a non-empty array of integers `nums`, every element appears twice except for one. Find that missing number
+
+You must implement a solution with a linear runtime complexity and use only constant extra space
+
+<details>
+
+<summary>Task Type</summary>
+
+We can assume this task to be a "One Pointer One Array + HashMap" Task Type and solve it this way: as we iterate through the `nums` array we store the elements encountered and check if we find them again while iteration continues and the element we didn't find twice is the missing element:
+
+```js
+function singleNumber(nums) {
+  const hashMap = {};
+
+  for (const num of nums) {
+    if (num in hashMap) {
+      delete hashMap[num];
+    } else {
+      hashMap[num] = true;
+    }
+  }
+
+  return Object.keys(hashMap)[0];
+}
+```
+
+But this HashMap approach uses `O(n)` extra memory. We can optimize it if we treat this task not as a "One Pointer One Array + HashMap" Task Type but rather as a "Numbers Math" Task Type
+
+Let's see how it can be done. Xor of any two numbers gives the difference of bit as `1` and same bit as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits
+
+So, we will always get the single missing element because all the same numbers will evaluate to `0` and `0 ^ missing_number = missing_number`
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 6f73893..e30d4e7 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -27,6 +27,7 @@ _Tasks grouped by_ `Task Type`
 - __Numbers Math__
   - [Keygen](./keygen/task.md)
   - [Maximum Product Subarray](./maximum-product-subarray/task.md)
+  - [Single Number](./single-number/task.md)
 - __Fibonacci Sequence__
   - [Climbing Stairs](./climb-stairs/task.md)
 - __Check if Puzzle is Solvable__

From 12b4bd71ad3a50157da1169b7b2b67de89fbac37 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 30 Mar 2023 21:58:37 +0300
Subject: [PATCH 008/110] fix single-number task description

---
 task-archieve/single-number/task.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
index b74de2d..79f9edf 100644
--- a/task-archieve/single-number/task.md
+++ b/task-archieve/single-number/task.md
@@ -28,7 +28,7 @@ function singleNumber(nums) {
 
 But this HashMap approach uses `O(n)` extra memory. We can optimize it if we treat this task not as a "One Pointer One Array + HashMap" Task Type but rather as a "Numbers Math" Task Type
 
-Let's see how it can be done. Xor of any two numbers gives the difference of bit as `1` and same bit as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits
+Let's see how it can be done. Xor of any two numbers gives the difference of bits as `1` and the same bits as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits
 
 So, we will always get the single missing element because all the same numbers will evaluate to `0` and `0 ^ missing_number = missing_number`
 

From 992b63d14315659ba3b128ed4271dd4f4e6970e2 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 3 Apr 2023 20:29:57 +0300
Subject: [PATCH 009/110] create valid parentesis task (again? yes!)

---
 task-archieve/README.md                     |  1 +
 task-archieve/contiguous-array/solution.js  |  8 ++--
 task-archieve/contiguous-array/task.md      |  2 +-
 task-archieve/task-type.md                  |  3 +-
 task-archieve/valid-parentheses/solution.js | 37 +++++++++++++++
 task-archieve/valid-parentheses/task.md     | 52 +++++++++++++++++++++
 6 files changed, 97 insertions(+), 6 deletions(-)
 create mode 100644 task-archieve/valid-parentheses/solution.js
 create mode 100644 task-archieve/valid-parentheses/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index b02c580..fff6b73 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -23,3 +23,4 @@ _List of tasks_
 - [Maximum Product Subarray](./maximum-product-subarray/task.md)
 - [Fruit Into Baskets](./fruit-into-baskets/task.md)
 - [Single Number](./single-number/task.md)
+- [Valid Parentheses](./valid-parentheses/task.md)
diff --git a/task-archieve/contiguous-array/solution.js b/task-archieve/contiguous-array/solution.js
index 3988504..89c40a2 100644
--- a/task-archieve/contiguous-array/solution.js
+++ b/task-archieve/contiguous-array/solution.js
@@ -1,5 +1,5 @@
 function findMaxLength(nums) {
-    const prevCounters = {};
+    const prevCountersHashMap = {};
     let maxLength = 0;
     let counter = 0;
     let i = 0;
@@ -19,11 +19,11 @@ function findMaxLength(nums) {
             maxLength = i + 1;
         }
 
-        if (counter in prevCounters) {
-            const prevIndex = prevCounters[counter];
+        if (counter in prevCountersHashMap) {
+            const prevIndex = prevCountersHashMap[counter];
             maxLength = Math.max(maxLength, i - prevIndex);
         } else {
-            prevCounters[counter] = i; // store the first unique counter value
+            prevCountersHashMap[counter] = i; // store the first unique counter value
         }
 
         i++;
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index 816e0c5..a784973 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -22,7 +22,7 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
 <summary>Task Type</summary>
 
-It is an Array One Pointer + Counter + Hashmap type of task
+It is a One Pointer One Array and _Counter + Hashmap_ Task Type
 
 </details>
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index e30d4e7..703b6f8 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -12,9 +12,10 @@ _Tasks grouped by_ `Task Type`
   - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
 - __Two Pointers Two Arrays__
   - [Intersection of intervals](./intersection-intervals/task.md)
-- __One Pointer One Array + One or More Counters or Stack or HashMap__
+- __One Pointer One Array and One or More Counters or HashMap or Stack__
   - [Longest sequence of 1's](./longest-sequence-of-1s/task.md)
   - [Contiguous Array](./contiguous-array/task.md)
+  - [Valid Parentheses](./valid-parentheses/task.md)
 - __Array Relation of Indexes and Values or Indexes to Values__
   - [Zigzag Conversion](./zigzag-conversion/task.md)
 - __While Loop and Stack__
diff --git a/task-archieve/valid-parentheses/solution.js b/task-archieve/valid-parentheses/solution.js
new file mode 100644
index 0000000..5d34e0a
--- /dev/null
+++ b/task-archieve/valid-parentheses/solution.js
@@ -0,0 +1,37 @@
+function isValid(s) {
+    const stack = [];
+
+    for (const ch of s) {
+        if (ch === '(' || ch === '{' || ch === '[') {
+            // if opening bracket then push into the stack
+            stack.push(ch);
+        } else {
+            // if a closing bracket then we compare with the top of the stack
+            // while comparing with top of stack we have 2 cases
+            // the stack can be empty or the stack is not empty
+
+            if (stack.length !== 0) {
+                const topOfTheStack = stack[stack.length -1];
+
+                if (
+                    (ch === ')' && topOfTheStack === '(') ||
+                    (ch === '}' && topOfTheStack === '{') ||
+                    (ch === ']' && topOfTheStack === '[')
+                ) {
+                    // if matches then pop
+                    stack.pop();
+                } else {
+                    return false;
+                }
+            } else {
+                return false;
+            }
+        }
+    }
+
+    if (stack.length === 0) {
+        return true;
+    }
+
+    return false;
+}
diff --git a/task-archieve/valid-parentheses/task.md b/task-archieve/valid-parentheses/task.md
new file mode 100644
index 0000000..078aa74
--- /dev/null
+++ b/task-archieve/valid-parentheses/task.md
@@ -0,0 +1,52 @@
+# Valid Parentheses
+
+Given a string `s` containing just the characters `'('`, `')'`, `'{'`, `'}'`, `'['` and `']'`, determine if the input string is valid
+
+An input string is valid if:
+1. Open brackets must be closed by the same type of brackets
+2. Open brackets must be closed in the correct order
+3. Every close bracket has a corresponding open bracket of the same type
+
+__Example 1:__
+
+```
+Input: s = "()"
+Output: true
+```
+
+__Example 2:__
+
+```
+Input: s = "()[]{}"
+Output: true
+```
+
+__Example 3:__
+
+```
+Input: s = "(]"
+Output: false
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+It is a One Pointer One Array and _Stack_ Task Type. So you need to iterate a string as an array and use a stack in order to solve the task
+
+</details>
+
+<details>
+
+<summary>Hint</summary>
+
+If you encounter an opening bracket then you need to push it to the stack. If you encounter a closing bracket then you need to pop off the stack (only make sure that you pop the same type of opening bracket as you found a closing bracket otherwise the brackets are placed incorrectly)
+
+__Note:__ we have already given a try to solving this task [here](../../cheatsheet/brackets/README.md)
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |

From c6d2c10364a4c3c83e1fd7937dda621d73d36304 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 3 Apr 2023 20:34:28 +0300
Subject: [PATCH 010/110] missing letter

---
 task-archieve/valid-parentheses/task.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/valid-parentheses/task.md b/task-archieve/valid-parentheses/task.md
index 078aa74..89bd943 100644
--- a/task-archieve/valid-parentheses/task.md
+++ b/task-archieve/valid-parentheses/task.md
@@ -5,7 +5,7 @@ Given a string `s` containing just the characters `'('`, `')'`, `'{'`, `'}'`, `'
 An input string is valid if:
 1. Open brackets must be closed by the same type of brackets
 2. Open brackets must be closed in the correct order
-3. Every close bracket has a corresponding open bracket of the same type
+3. Every closed bracket has a corresponding open bracket of the same type
 
 __Example 1:__
 

From b8bd5f0d4f6cafcaae23c6c64dc2db6f5afc3032 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 7 Apr 2023 21:27:19 +0300
Subject: [PATCH 011/110] create one pointer one array task type

---
 README.md                                     |  1 +
 task-archieve/README.md                       |  1 +
 task-archieve/find-peak-element/solution.js   | 21 ++++++++++
 task-archieve/find-peak-element/task.md       | 40 +++++++++++++++++++
 task-archieve/fruit-into-baskets/task.md      |  2 +
 .../task.md                                   |  2 +
 task-archieve/single-number/task.md           | 10 +++--
 task-archieve/task-type.md                    | 13 ++++--
 8 files changed, 82 insertions(+), 8 deletions(-)
 create mode 100644 task-archieve/find-peak-element/solution.js
 create mode 100644 task-archieve/find-peak-element/task.md

diff --git a/README.md b/README.md
index 205d90d..0b21410 100644
--- a/README.md
+++ b/README.md
@@ -5,6 +5,7 @@
 - [Projects from the Tutorial](./projects-from-the-tutorial/README.md) :page_facing_up:
 - [Cool Projects](./cool-projects/README.md) :whale:
 - [Snippets](./snippets/README.md) :seedling:
+- [Task Archieve](./task-archieve/README.md) :scroll:
 - [Writings](./writings/README.md) :black_nib:
 - [Legacy](./legacy/README.md) :file_cabinet:
 
diff --git a/task-archieve/README.md b/task-archieve/README.md
index fff6b73..f1739d4 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -24,3 +24,4 @@ _List of tasks_
 - [Fruit Into Baskets](./fruit-into-baskets/task.md)
 - [Single Number](./single-number/task.md)
 - [Valid Parentheses](./valid-parentheses/task.md)
+- [Find Peak Element](./find-peak-element/task.md)
diff --git a/task-archieve/find-peak-element/solution.js b/task-archieve/find-peak-element/solution.js
new file mode 100644
index 0000000..a37b0db
--- /dev/null
+++ b/task-archieve/find-peak-element/solution.js
@@ -0,0 +1,21 @@
+function findPeakElement(nums) {
+    if (nums.length === 1 || nums[0] > nums[1]) {
+        return 0;
+    }
+
+    if (nums.length === 2 && nums[1] > nums[0]) {
+        return 1;
+    }
+
+    for (let i = 0; i < nums.length; i++) {
+        const value = nums[i];
+        const left = nums[i - 1] ?? 0;
+        const right = nums[i + 1] ?? 0;
+
+        if (value > left && value > right) {
+            return i;
+        }
+    }
+
+    return -1;
+}
diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
new file mode 100644
index 0000000..ac286aa
--- /dev/null
+++ b/task-archieve/find-peak-element/task.md
@@ -0,0 +1,40 @@
+# Find Peak Element
+
+A peak element is an element that is strictly greater than its neighbors
+
+Given a __0-indexed__ integer array `nums`, find a peak element, and return its index. If the array contains multiple peaks, return the index to __any of the peaks__
+
+You may imagine that `nums[-1] = nums[n] = -∞`. In other words, an element is always considered to be strictly greater than a neighbor that is outside the array
+
+__Example 1:__
+
+```
+Input: nums = [1,2,3,1]
+Output: 2
+Explanation: 3 is a peak element and your function should return the index number 2
+```
+
+__Example 2:__
+
+```
+Input: nums = [1,2,1,3,5,6,4]
+Output: 5
+Explanation: Your function can return either index number 1 where the peak element is 2, or index number 5 where the peak element is 6
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+This is simply a type of task where we iterate an array using one pointer (pointer is when we save number to variable like `i` and use `i` as an index of the array and increment `i` per iteration) and get the solution
+
+We have already seen a similar task called [Love Triangle](../../cheatsheet/love-triangles.js). To solve that task we also simply iterate an array (and do certain things as we iterate it of course)
+
+_Note:_ in the Love Triangle task as we iterate the array we also employ a technique where we use _values_ of elements of the array as _indexes_ (in order to check if there is a cycle)
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/fruit-into-baskets/task.md b/task-archieve/fruit-into-baskets/task.md
index c8b9f91..1708fc8 100644
--- a/task-archieve/fruit-into-baskets/task.md
+++ b/task-archieve/fruit-into-baskets/task.md
@@ -48,6 +48,8 @@ If we had started at the first tree, we would only pick from trees [1,2]
 
 Sliding Window + HashMap
 
+Just like [this task](../longest-letter-subsequence/task.md)
+
 </details>
 
 ---
diff --git a/task-archieve/longest-substring-without-repeating-characters/task.md b/task-archieve/longest-substring-without-repeating-characters/task.md
index 1878744..76bd8d3 100644
--- a/task-archieve/longest-substring-without-repeating-characters/task.md
+++ b/task-archieve/longest-substring-without-repeating-characters/task.md
@@ -33,6 +33,8 @@ Notice that the answer must be a substring, "pwke" is a subsequence and not a su
 
 Sliding Window + HashMap
 
+Just like [this task](../longest-letter-subsequence/task.md)
+
 </details>
 
 ---
diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
index 79f9edf..dc3099c 100644
--- a/task-archieve/single-number/task.md
+++ b/task-archieve/single-number/task.md
@@ -8,7 +8,7 @@ You must implement a solution with a linear runtime complexity and use only cons
 
 <summary>Task Type</summary>
 
-We can assume this task to be a "One Pointer One Array + HashMap" Task Type and solve it this way: as we iterate through the `nums` array we store the elements encountered and check if we find them again while iteration continues and the element we didn't find twice is the missing element:
+We can assume this task to be a "One Pointer One Array and HashMap" Task Type and solve it this way: as we iterate through the `nums` array we store the elements encountered and check if we find them again while iteration continues and the element we didn't find twice is the missing element:
 
 ```js
 function singleNumber(nums) {
@@ -26,11 +26,13 @@ function singleNumber(nums) {
 }
 ```
 
-But this HashMap approach uses `O(n)` extra memory. We can optimize it if we treat this task not as a "One Pointer One Array + HashMap" Task Type but rather as a "Numbers Math" Task Type
+But this HashMap approach uses `O(n)` extra memory. We can optimize it if we treat this task _not_ as a "One Pointer One Array and HashMap" Task Type but rather as "Array Math Operation on All Elements" Task Type
 
-Let's see how it can be done. Xor of any two numbers gives the difference of bits as `1` and the same bits as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits
+"Array Math Operation on All Elements" Task Type is the type of task where we do some Math operation on all elements of the array and the result of this operation on all the elements is the result of solving the task. For example we saw the [Find a Missing Number in an Unsorted Array](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array) task earlier. In order to solve that task we summed all the elements of the array and then extracted the sum we got from the sum we wanted and were thus able to find the missing element using constant `O(1)` extra memory
 
-So, we will always get the single missing element because all the same numbers will evaluate to `0` and `0 ^ missing_number = missing_number`
+Let's see how we can use the "Array Math Operation on All Elements" approach to solve this task. Xor of any two numbers gives the difference of bits as `1` and the same bits as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits. In order to find the missing element we simply need to xor all the elements of the array.
+
+This way we will always get the single missing element because all the same numbers will evaluate to `0` and `0 ^ missing_number = missing_number`
 
 </details>
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 703b6f8..cdf9925 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -4,18 +4,24 @@ _Tasks grouped by_ `Task Type`
 
 ---
 
+- __One Pointer One Array__
+  - [Find Peak Element](./find-peak-element/task.md)
+- __Two Pointers Two Arrays__
+  - [Intersection of intervals](./intersection-intervals/task.md)
 - __Two Pointers One Array__
   - [Container With Most Water](./most-water/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 - __Two Pointers One Array Sliding Window__
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
   - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
-- __Two Pointers Two Arrays__
-  - [Intersection of intervals](./intersection-intervals/task.md)
-- __One Pointer One Array and One or More Counters or HashMap or Stack__
+- __One Pointer One Array and One or More Counters__
   - [Longest sequence of 1's](./longest-sequence-of-1s/task.md)
+- __One Pointer One Array and HashMap__
   - [Contiguous Array](./contiguous-array/task.md)
+- __One Pointer One Array and Stack__
   - [Valid Parentheses](./valid-parentheses/task.md)
+- __Array Math Operation on All Elements__
+  - [Single Number](./single-number/task.md)
 - __Array Relation of Indexes and Values or Indexes to Values__
   - [Zigzag Conversion](./zigzag-conversion/task.md)
 - __While Loop and Stack__
@@ -28,7 +34,6 @@ _Tasks grouped by_ `Task Type`
 - __Numbers Math__
   - [Keygen](./keygen/task.md)
   - [Maximum Product Subarray](./maximum-product-subarray/task.md)
-  - [Single Number](./single-number/task.md)
 - __Fibonacci Sequence__
   - [Climbing Stairs](./climb-stairs/task.md)
 - __Check if Puzzle is Solvable__

From 44c16ffc6b84121844b0e431950acf22ddf6e1c6 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 7 Apr 2023 21:29:22 +0300
Subject: [PATCH 012/110] update the links to point to task-type

---
 task-archieve/best-time-to-buy-and-sell-stock/task.md           | 2 +-
 task-archieve/climb-stairs/task.md                              | 2 +-
 task-archieve/combinations/task.md                              | 2 +-
 task-archieve/contiguous-array/task.md                          | 2 +-
 task-archieve/find-peak-element/task.md                         | 2 +-
 task-archieve/flatten-nonrecursive-v2/task.md                   | 2 +-
 task-archieve/fruit-into-baskets/task.md                        | 2 +-
 task-archieve/intersection-intervals/task.md                    | 2 +-
 task-archieve/keygen/task.md                                    | 2 +-
 task-archieve/longest-letter-subsequence/task.md                | 2 +-
 task-archieve/longest-sequence-of-1s/task.md                    | 2 +-
 .../longest-substring-without-repeating-characters/task.md      | 2 +-
 task-archieve/matrix-diagonal-sort/task.md                      | 2 +-
 task-archieve/maximum-product-subarray/task.md                  | 2 +-
 task-archieve/most-water/task.md                                | 2 +-
 task-archieve/remove-duplicates-v2/task.md                      | 2 +-
 task-archieve/single-number/task.md                             | 2 +-
 task-archieve/sort-letters-two-arrays/task.md                   | 2 +-
 task-archieve/valid-parentheses/task.md                         | 2 +-
 task-archieve/word-search/task.md                               | 2 +-
 task-archieve/zigzag-conversion/task.md                         | 2 +-
 21 files changed, 21 insertions(+), 21 deletions(-)

diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index 2ab5816..4c0e839 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -37,5 +37,5 @@ __Note:__ [this task](../longest-letter-subsequence/task.md) is likewise Sliding
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/climb-stairs/task.md b/task-archieve/climb-stairs/task.md
index 7fd7ccf..29c8244 100644
--- a/task-archieve/climb-stairs/task.md
+++ b/task-archieve/climb-stairs/task.md
@@ -45,5 +45,5 @@ You can store a Fibonacci Sequence in an array and you get `O(n)` memory complex
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) | [:white_check_mark: solution 3](./solution-3.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) | [:white_check_mark: solution 3](./solution-3.js) |
 | :---: | :---: | :---: | :---: |
diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
index 6e72331..47ebb22 100644
--- a/task-archieve/combinations/task.md
+++ b/task-archieve/combinations/task.md
@@ -83,5 +83,5 @@ __Note:__ we called the recursive function inside the `backtrack` function as `d
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index a784973..5a444c6 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -38,5 +38,5 @@ The key point to solving this task is to realize that we don't have to always ar
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
index ac286aa..e76a201 100644
--- a/task-archieve/find-peak-element/task.md
+++ b/task-archieve/find-peak-element/task.md
@@ -36,5 +36,5 @@ _Note:_ in the Love Triangle task as we iterate the array we also employ a techn
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/flatten-nonrecursive-v2/task.md b/task-archieve/flatten-nonrecursive-v2/task.md
index a81a88d..d51f7cc 100644
--- a/task-archieve/flatten-nonrecursive-v2/task.md
+++ b/task-archieve/flatten-nonrecursive-v2/task.md
@@ -22,5 +22,5 @@ You can achieve the non-recursive solution by using a simple "stack and while lo
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/fruit-into-baskets/task.md b/task-archieve/fruit-into-baskets/task.md
index 1708fc8..bfeebc1 100644
--- a/task-archieve/fruit-into-baskets/task.md
+++ b/task-archieve/fruit-into-baskets/task.md
@@ -54,5 +54,5 @@ Just like [this task](../longest-letter-subsequence/task.md)
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/intersection-intervals/task.md b/task-archieve/intersection-intervals/task.md
index fe98e57..246c0d7 100644
--- a/task-archieve/intersection-intervals/task.md
+++ b/task-archieve/intersection-intervals/task.md
@@ -26,5 +26,5 @@ It is one of those tasks where you use two pointers (save indexes like `i` and `
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/keygen/task.md b/task-archieve/keygen/task.md
index 4007879..2d1aaa4 100644
--- a/task-archieve/keygen/task.md
+++ b/task-archieve/keygen/task.md
@@ -27,5 +27,5 @@ This is more of a numbers task type than any of the array task types
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 3508380..f78d921 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -37,5 +37,5 @@ But for this particular task you may also need to enable the _power of hashmap_
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/longest-sequence-of-1s/task.md b/task-archieve/longest-sequence-of-1s/task.md
index 2c983c7..5c91b9f 100644
--- a/task-archieve/longest-sequence-of-1s/task.md
+++ b/task-archieve/longest-sequence-of-1s/task.md
@@ -20,5 +20,5 @@ It is one of those tasks where you use one pointer to iterate the array as well
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/longest-substring-without-repeating-characters/task.md b/task-archieve/longest-substring-without-repeating-characters/task.md
index 76bd8d3..ff254ef 100644
--- a/task-archieve/longest-substring-without-repeating-characters/task.md
+++ b/task-archieve/longest-substring-without-repeating-characters/task.md
@@ -39,5 +39,5 @@ Just like [this task](../longest-letter-subsequence/task.md)
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/matrix-diagonal-sort/task.md b/task-archieve/matrix-diagonal-sort/task.md
index 42e533b..5019828 100644
--- a/task-archieve/matrix-diagonal-sort/task.md
+++ b/task-archieve/matrix-diagonal-sort/task.md
@@ -43,5 +43,5 @@ This is a Matrix type task using Matrix mechanics or you could also say that you
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/maximum-product-subarray/task.md b/task-archieve/maximum-product-subarray/task.md
index 653554d..f309ccc 100644
--- a/task-archieve/maximum-product-subarray/task.md
+++ b/task-archieve/maximum-product-subarray/task.md
@@ -38,5 +38,5 @@ This is why we need to look for the biggest product first going left to right an
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/most-water/task.md b/task-archieve/most-water/task.md
index a015381..bad6d85 100644
--- a/task-archieve/most-water/task.md
+++ b/task-archieve/most-water/task.md
@@ -57,5 +57,5 @@ Start with the maximum width container and go to a shorter width container if th
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/remove-duplicates-v2/task.md b/task-archieve/remove-duplicates-v2/task.md
index 3832e19..7f7c722 100644
--- a/task-archieve/remove-duplicates-v2/task.md
+++ b/task-archieve/remove-duplicates-v2/task.md
@@ -46,5 +46,5 @@ _In computer science, an in-place algorithm is an algorithm which transforms inp
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
index dc3099c..ebdf359 100644
--- a/task-archieve/single-number/task.md
+++ b/task-archieve/single-number/task.md
@@ -38,5 +38,5 @@ This way we will always get the single missing element because all the same numb
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
index e887a23..769d4af 100644
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ b/task-archieve/sort-letters-two-arrays/task.md
@@ -71,5 +71,5 @@ function sort(array, order) {
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/valid-parentheses/task.md b/task-archieve/valid-parentheses/task.md
index 89bd943..66d41cb 100644
--- a/task-archieve/valid-parentheses/task.md
+++ b/task-archieve/valid-parentheses/task.md
@@ -48,5 +48,5 @@ __Note:__ we have already given a try to solving this task [here](../../cheatshe
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/word-search/task.md b/task-archieve/word-search/task.md
index 3ca9e15..deeaf91 100644
--- a/task-archieve/word-search/task.md
+++ b/task-archieve/word-search/task.md
@@ -43,5 +43,5 @@ In this task we should see if a letter matches the one in the word and if so rec
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/zigzag-conversion/task.md b/task-archieve/zigzag-conversion/task.md
index 08a5876..5ec494d 100644
--- a/task-archieve/zigzag-conversion/task.md
+++ b/task-archieve/zigzag-conversion/task.md
@@ -85,5 +85,5 @@ To solve this task you need to analyze the _relation_ between the indexes of the
 
 ---
 
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |

From 6dd7080382f2fc0d10893af9431f716ee7a516b8 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 7 Apr 2023 21:38:25 +0300
Subject: [PATCH 013/110] enrich the description of contiguous array task

---
 task-archieve/contiguous-array/task.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index 5a444c6..e692597 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -22,7 +22,9 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
 <summary>Task Type</summary>
 
-It is a One Pointer One Array and _Counter + Hashmap_ Task Type
+It is a "One Pointer One Array and Hashmap" Task Type. We can use HashMap to solve this one except it is not so obvious at first
+
+_Note:_ the solution to the [Remove Duplicate From An Array](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) task is perhaps the most classic example of the "One Pointer One Array and Hashmap" Task Type. However _this_ Contiguous Array task is more like "One Pointer One Array and Hashmap + Counter" Task Type though we can say that it is still "One Pointer One Array and Hashmap" Task Type
 
 </details>
 

From f8da808aa3c9fa58778f52547b072adea6d1d22a Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 7 Apr 2023 22:07:18 +0300
Subject: [PATCH 014/110] break the dismorale by re-arranging the tasks list

---
 task-archieve/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/README.md b/task-archieve/README.md
index f1739d4..63c8d2e 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -4,6 +4,7 @@ _List of tasks_
 
 ---
 
+- [Find Peak Element](./find-peak-element/task.md)
 - [Container With Most Water](./most-water/task.md)
 - [Zigzag Conversion](./zigzag-conversion/task.md)
 - [Longest sequence of letters](./longest-letter-subsequence/task.md)
@@ -24,4 +25,3 @@ _List of tasks_
 - [Fruit Into Baskets](./fruit-into-baskets/task.md)
 - [Single Number](./single-number/task.md)
 - [Valid Parentheses](./valid-parentheses/task.md)
-- [Find Peak Element](./find-peak-element/task.md)

From 08b55d02609404b24af6e13d748f43de8ed70884 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 10 Apr 2023 20:53:56 +0300
Subject: [PATCH 015/110] brush up the descriptions with details

---
 task-archieve/climb-stairs/task.md               | 2 +-
 task-archieve/combinations/task.md               | 2 +-
 task-archieve/contiguous-array/task.md           | 6 +++---
 task-archieve/find-peak-element/task.md          | 4 +++-
 task-archieve/flatten-nonrecursive-v2/task.md    | 2 ++
 task-archieve/longest-letter-subsequence/task.md | 4 ++++
 task-archieve/longest-sequence-of-1s/solution.js | 6 +++---
 task-archieve/longest-sequence-of-1s/task.md     | 2 ++
 task-archieve/matrix-diagonal-sort/task.md       | 2 +-
 task-archieve/sort-letters-two-arrays/task.md    | 2 ++
 10 files changed, 22 insertions(+), 10 deletions(-)

diff --git a/task-archieve/climb-stairs/task.md b/task-archieve/climb-stairs/task.md
index 29c8244..18f80cc 100644
--- a/task-archieve/climb-stairs/task.md
+++ b/task-archieve/climb-stairs/task.md
@@ -31,7 +31,7 @@ __Note:__ you need to write a function that returns _the number of ways to climb
 
 <summary>Task Type</summary>
 
-This is a numbers task type. You need to use Fibonacci Sequence to solve it
+This is a numbers task type. You need to use the [Fibonacci Sequence](../../1\)%20Task%20Challanges.md#12-fibonacci) to solve it
 
 </details>
 
diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
index 47ebb22..2a515b4 100644
--- a/task-archieve/combinations/task.md
+++ b/task-archieve/combinations/task.md
@@ -25,7 +25,7 @@ Explanation: There is 1 choose 1 = 1 total combination
 
 <summary>Task Type</summary>
 
-This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__
+This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__ (read the Hint for what this means)
 
 </details>
 
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index e692597..1973a98 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -22,9 +22,9 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
 <summary>Task Type</summary>
 
-It is a "One Pointer One Array and Hashmap" Task Type. We can use HashMap to solve this one except it is not so obvious at first
+It is a "One Pointer One Array and Hashmap" Task Type. We can use HashMap to solve this one (except it is not so obvious at first)
 
-_Note:_ the solution to the [Remove Duplicate From An Array](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) task is perhaps the most classic example of the "One Pointer One Array and Hashmap" Task Type. However _this_ Contiguous Array task is more like "One Pointer One Array and Hashmap + Counter" Task Type though we can say that it is still "One Pointer One Array and Hashmap" Task Type
+__Note:__ the solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the "One Pointer One Array and Hashmap" Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial!). However _this_ "Contiguous Array" task is more like "One Pointer One Array and Hashmap + Counter" Task Type though we can say that it is still "One Pointer One Array and Hashmap" Task Type because we use HashMap to solve this task just like in the "Remove Duplicate From An Array" task
 
 </details>
 
@@ -34,7 +34,7 @@ _Note:_ the solution to the [Remove Duplicate From An Array](../../1\)%20Task%20
 
 In order to find the longest contiguous subarray with equal number of `0` and `1` create a counter that we increment by one if we encounter `1` and decrement by one when we encounter `0` as we loop through the array. If the counter becomes zero it means we have gone thru as many `1`s as there were `0`s
 
-The key point to solving this task is to realize that we don't have to always arrive at counter equal to zero, we will also have a contiguous array with equal number of `0` and `1` if our counter arrives at the same value as it has already been before meaning that it looped through an equal number of `1` and `0`
+The key point to solving this task is to realize that we don't have to always arrive at counter equal to zero, we will also have a contiguous array with equal number of `0` and `1` if our counter arrives at the same value as it has already been before meaning that it looped through an equal number of `1` and `0` (and that is where HashMap comes in as well)
 
 </details>
 
diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
index e76a201..5515db7 100644
--- a/task-archieve/find-peak-element/task.md
+++ b/task-archieve/find-peak-element/task.md
@@ -28,9 +28,11 @@ Explanation: Your function can return either index number 1 where the peak eleme
 
 This is simply a type of task where we iterate an array using one pointer (pointer is when we save number to variable like `i` and use `i` as an index of the array and increment `i` per iteration) and get the solution
 
+__Note:__ just to be clear, iteration is the code that runs inside the braces of the for-loop (each time the same code is run but with different values of the variable `i` for example starting at 0 and ending with the index of the last element of the array)
+
 We have already seen a similar task called [Love Triangle](../../cheatsheet/love-triangles.js). To solve that task we also simply iterate an array (and do certain things as we iterate it of course)
 
-_Note:_ in the Love Triangle task as we iterate the array we also employ a technique where we use _values_ of elements of the array as _indexes_ (in order to check if there is a cycle)
+__Note:__ in the Love Triangle task as we iterate the array we also employ a technique where we use _values_ of elements of the array as _indexes_ (in order to check if there is a cycle)
 
 </details>
 
diff --git a/task-archieve/flatten-nonrecursive-v2/task.md b/task-archieve/flatten-nonrecursive-v2/task.md
index d51f7cc..791a3b7 100644
--- a/task-archieve/flatten-nonrecursive-v2/task.md
+++ b/task-archieve/flatten-nonrecursive-v2/task.md
@@ -18,6 +18,8 @@ Also you cannot use recursion because an array can be very big and nested very d
 
 You can achieve the non-recursive solution by using a simple "stack and while loop" technique but at least one way of solving this means pushing elements into the stack in reverse order
 
+__Note:__ the same techique of using a stack or a queue and a while loop was used to perform the depth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L113) or [here](../../corejs-codejam/task/07-yield-tasks.js#L147) (alternatively [here](../../snippets/Data%20Structures/binary-search-tree.js#L222))
+
 </details>
 
 ---
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index f78d921..476b042 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -24,6 +24,10 @@ It is one of those tasks where you use two pointers (save indexes like `i` and `
 
 But for this particular task you may also need to enable the _power of hashmap_
 
+__Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md)
+
+__Note:__ the particulars of the approach used in this task are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) (same Task Type)
+
 </details>
 
 <details>
diff --git a/task-archieve/longest-sequence-of-1s/solution.js b/task-archieve/longest-sequence-of-1s/solution.js
index 355e05e..149f8c2 100644
--- a/task-archieve/longest-sequence-of-1s/solution.js
+++ b/task-archieve/longest-sequence-of-1s/solution.js
@@ -1,7 +1,7 @@
 function countOnes(array) {
-    let max = 0;
-    let current = 0;
-    let prev = 0;
+    let max = 0; // third counter
+    let current = 0; // first counter
+    let prev = 0; // second counter
 
     for (let i = 0; i < array.length; i++) {
         if (array[i] === 1) {
diff --git a/task-archieve/longest-sequence-of-1s/task.md b/task-archieve/longest-sequence-of-1s/task.md
index 5c91b9f..61897b7 100644
--- a/task-archieve/longest-sequence-of-1s/task.md
+++ b/task-archieve/longest-sequence-of-1s/task.md
@@ -16,6 +16,8 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
 It is one of those tasks where you use one pointer to iterate the array as well as one or more counters that we may or may not reset sometimes
 
+__Note:__ a counter is a variable that holds some number which we are going to change, increase or decrease per iteration (and if we say reset the counter it means assign to the counter the value that it had before we started iterating the array)
+
 </details>
 
 ---
diff --git a/task-archieve/matrix-diagonal-sort/task.md b/task-archieve/matrix-diagonal-sort/task.md
index 5019828..b7b53bc 100644
--- a/task-archieve/matrix-diagonal-sort/task.md
+++ b/task-archieve/matrix-diagonal-sort/task.md
@@ -37,7 +37,7 @@ Here is an example:
 
 <summary>Task Type</summary>
 
-This is a Matrix type task using Matrix mechanics or you could also say that you need to look at the _relation_ between the indexes of the array like [here](../zigzag-conversion/task.md).
+This is a Matrix type task using Matrix mechanics or you could also say that you need to look at the _relation_ between the indexes of the array like [here](../zigzag-conversion/task.md)
 
 </details>
 
diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
index 769d4af..a1c7bc5 100644
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ b/task-archieve/sort-letters-two-arrays/task.md
@@ -67,6 +67,8 @@ function sort(array, order) {
 }
 ```
 
+__Note:__ this example of a solution above (which we said doesn't solve this particular task) doesn't swap but rather overwrites elements of the array. The Task Type we are studying in this particular task is called "In-Place Swap and Overwrite". To solve this particular task you need to swap elements instead of overwriting them and for the overwrite variant of this Task Type feel free to check out the [sibling task](../remove-duplicates-v2/task.md)
+
 </details>
 
 ---

From ef8bc498e738f506fcc3214364183f8a669bbd3a Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 10 Apr 2023 21:09:55 +0300
Subject: [PATCH 016/110] fix hashmap written with lowercase letter

---
 task-archieve/contiguous-array/task.md | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index 1973a98..56ae882 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -22,9 +22,9 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
 <summary>Task Type</summary>
 
-It is a "One Pointer One Array and Hashmap" Task Type. We can use HashMap to solve this one (except it is not so obvious at first)
+It is a "One Pointer One Array and HashMap" Task Type. We can use HashMap to solve this one (except it is not so obvious at first)
 
-__Note:__ the solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the "One Pointer One Array and Hashmap" Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial!). However _this_ "Contiguous Array" task is more like "One Pointer One Array and Hashmap + Counter" Task Type though we can say that it is still "One Pointer One Array and Hashmap" Task Type because we use HashMap to solve this task just like in the "Remove Duplicate From An Array" task
+__Note:__ the solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the "One Pointer One Array and HashMap" Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial!). However _this_ "Contiguous Array" task is more like "One Pointer One Array and HashMap + Counter" Task Type though we can say that it is still "One Pointer One Array and HashMap" Task Type because we use HashMap to solve this task just like in the "Remove Duplicate From An Array" task
 
 </details>
 
@@ -38,6 +38,14 @@ The key point to solving this task is to realize that we don't have to always ar
 
 </details>
 
+<details>
+
+<summary>Similar Tasks</summary>
+
+- [Remove Duplicate From An Array](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array)
+
+</details>
+
 ---
 
 | [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |

From 26a1104b4596d7b0c43805d22d31d20ed3c93065 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 10 Apr 2023 22:04:30 +0300
Subject: [PATCH 017/110] define basic terms

---
 task-archieve/find-peak-element/task.md      | 8 ++++++--
 task-archieve/longest-sequence-of-1s/task.md | 2 +-
 2 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
index 5515db7..205c29a 100644
--- a/task-archieve/find-peak-element/task.md
+++ b/task-archieve/find-peak-element/task.md
@@ -26,9 +26,13 @@ Explanation: Your function can return either index number 1 where the peak eleme
 
 <summary>Task Type</summary>
 
-This is simply a type of task where we iterate an array using one pointer (pointer is when we save number to variable like `i` and use `i` as an index of the array and increment `i` per iteration) and get the solution
+This is simply a type of task where we iterate an array using one pointer and get the solution
 
-__Note:__ just to be clear, iteration is the code that runs inside the braces of the for-loop (each time the same code is run but with different values of the variable `i` for example starting at 0 and ending with the index of the last element of the array)
+__Note:__ "pointer" is when we save number to variable like `i` and use `i` as an index of the array and increment or decrement `i` per iteration, the `i` variable is thus called a _pointer_
+
+__Note:__ just to be clear, "iteration" is the code that runs inside the braces of the for-loop (each time the same code is run but with different values of the variable `i` (pointer) for example starting at 0 and ending with the index of the last element of the array)
+
+__Note:__ just to be clear, when we say "iterate an array" it means go over all the elements of the array (for example in the for-loop)
 
 We have already seen a similar task called [Love Triangle](../../cheatsheet/love-triangles.js). To solve that task we also simply iterate an array (and do certain things as we iterate it of course)
 
diff --git a/task-archieve/longest-sequence-of-1s/task.md b/task-archieve/longest-sequence-of-1s/task.md
index 61897b7..01b9a3e 100644
--- a/task-archieve/longest-sequence-of-1s/task.md
+++ b/task-archieve/longest-sequence-of-1s/task.md
@@ -16,7 +16,7 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
 It is one of those tasks where you use one pointer to iterate the array as well as one or more counters that we may or may not reset sometimes
 
-__Note:__ a counter is a variable that holds some number which we are going to change, increase or decrease per iteration (and if we say reset the counter it means assign to the counter the value that it had before we started iterating the array)
+__Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration (and if we say "reset the counter" it means assign to the counter the value that it had before we started iterating the array)
 
 </details>
 

From 6bda3649867138f9f8d30d0b04b07b7c7f56656c Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 11 Apr 2023 13:30:49 +0300
Subject: [PATCH 018/110] initialize the sliding window article

---
 .../best-time-to-buy-and-sell-stock/task.md   |   2 +
 task-archieve/literature/sliding-window.md    | 161 ++++++++++++++++++
 2 files changed, 163 insertions(+)
 create mode 100644 task-archieve/literature/sliding-window.md

diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index 4c0e839..827f3a3 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -33,6 +33,8 @@ You should also note that with Sliding Window technique you don't have to always
 
 __Note:__ [this task](../longest-letter-subsequence/task.md) is likewise Sliding Window but since Sliding Window Task Type is also Two Pointers Task Type it is listed in that category as well
 
+__Note:__ you can read more about the "Sliding Window" approach [here](../literature/sliding-window.md)
+
 </details>
 
 ---
diff --git a/task-archieve/literature/sliding-window.md b/task-archieve/literature/sliding-window.md
new file mode 100644
index 0000000..409790e
--- /dev/null
+++ b/task-archieve/literature/sliding-window.md
@@ -0,0 +1,161 @@
+# Sliding Window Algorithm
+
+## Overview
+
+Sliding Window Algorithm is a technique for reducing the complexity of algorithms. It is used such that the need for reusing the loops gets reduced and hence the program gets optimized. In this technique, we reuse the result of the previous step to compute the result of the next step
+
+## Scope
+
+- In this article, we will define the Sliding Window Algorithm and show how to use it
+
+- The article also contains steps to solve Sliding Window problems
+
+- The article contains several examples of the Sliding Window Algorithm
+
+## What is Sliding Window Algorithm?
+
+It is an algorithm where we can fast compute the things which have a fixed Window for calculation and we can fetch the result in an optimized manner than using the nested loops (naive approach). The main goal of this algorithm is to reuse the result of one Window to compute the result of the next Window
+
+Suppose there is a group of friends of 12 people and they decided to party together but the major concern is who is going to throw that treat. After a lot of discussion among them, they concluded that they are sitting at a round table and the group of three who is sitting adjacent to each other and have the sum of age of every member of that group is maximum among other groups of the same size will pay the bill
+
+So, to find that group the naive approach would be to consider every person and run a loop for the next three's sum of age but it would take `O( 12*3 )` units here. We can use the Sliding Window technique and could reduce this problem from `O(12*3)` to `O(12)`. In the next section, we will see how we can use the Sliding Window technique to solve this problem
+
+## How to use Sliding Window Technique?
+
+We can use the Sliding Window technique in the example mentioned above
+
+At first, we will add the sum of the age of three members and after that, we will keep adding the next one and subtracting the last one so that after every step we can get the sum of the age of three person and we keep comparing the sum. Here the Window size is `3` and to compute next group age sum we slide the Window. The time complexity of this algorithm is `O(12)` units and this whole algorithm is Sliding Window Algorithm. Most of the Sliding Window problems can be solved using this algorithm, the portion here which slides every time is the Sliding Window
+
+Let's suppose the students of different ages are:
+
+```
+[21, 23, 24, 22, 22, 21, 26, 23, 22, 21, 24, 20]
+```
+
+And the different windows of 3 people sitting adjacent to each other are: __`[21,23,24]`__ , __`[23,24,22]`__ , __`[24,22,22]`__ , __`[22,22,21]`__ , __`[22,21,26]`__ , __`[21,26,23]`__ , __`[26,23,22]`__ , __`[23,22,21]`__ , __`[22,21,24]`__ , __`[21,24,20]`__
+
+The sums here respectively are calculated using the Sliding Window technique, lets have a look how we approach this problem
+
+The sum of first three are `21 + 23 + 24 = 68`, and the rest ones are `68 - 21 + 22 = 69`, `69 - 23 + 22 = 68` and so on till last. Here, we can compare the sums calculated at each step to find the required answer
+
+## Basic Steps to Solve Sliding Window Problems
+
+The steps of using the Sliding Window technique are as follows:
+
+1. Find the size of the Window on which the algorithm has to be performed
+2. Calculate the result of the first Window, as we calculate in the naive approach
+3. Maintain a pointer on the start position
+4. Then run a loop and keep Sliding the Window by one step at a time and also Sliding that pointer one at a time, and keep track of the results of every Window
+
+Let's see how we can use these steps to solve Sliding Window problems. Suppose we have an array of integers `arr` of `n` elements and we have to find the maximum sum of `m` elements in that array
+
+__Examples:__
+
+- We have `n = 5`, `arr[5] = {10,20,10,30,5}` and `m = 3`. Then the result would be `60` (`20 + 10 + 30`)
+
+- We have `n = 7`, `arr[7] = {2,10,17,1,9,13,4}` and `m = 4`. Then the result would be `40` (`17 + 1 + 9 + 13`)
+
+The naive approach to solve this problem is by running a loop for every element and then again a nested loop to calculate the sum of next `m` elements and after that maintaining the maximum at every step
+
+_Naive approach for finding the maximum sum of m consecutive elements of an array:_
+
+```cpp
+// header files for C++ programs
+#include<bits/stdc++.h>
+using namespace std;
+
+// a function to calculate maximum sum of subarray of size m in an array of size n
+int findMaximumSum(int arr[], int n, int m)
+{
+  int max_result = INT_MIN;
+
+  for (int i = 0; i <= n - m ; i++) {
+    int running_sum = 0;
+        for (int j = i; j < i+m && j < n; j++)
+            running_sum = running_sum + arr[j];
+
+    // update the max_result variable (counter)
+    max_result = max(running_sum, max_result);
+  }
+
+  return max_result;
+}
+
+int main()
+{
+  int n = 5;
+  int arr[n] = { 10, 20, 10, 30, 5 };
+  int m = 3;
+  int answer = findMaximumSum(arr, n, m);
+
+  cout<<answer;
+
+  return 0;
+}
+```
+_Output:_
+```
+60
+```
+
+And the time complexity of running this algorithm is `O(n*m)` where `n` is the number of elements in the array and `m` is the size of the Window
+
+Optimized approach is implemented by using the Sliding Window Technique
+
+This is how we can compute the result by applying the Sliding Window technique:
+- We calculate the sum of the first `m` elements of that array and store that sum in a variable named `running_sum`
+
+- Then we will run a loop linearly on the array till the end and slide the Window and keep track of `maximum_sum` by comparing it with the `running_sum` every time
+
+- To get the sum of `m` elements every time for a Window we will add the next element and subtract the first element and so on and keep increasing the first pointer also
+
+- This will give us `maximum_sum` every time
+
+Let's see through the program how the algorithm is implemented. Consider the same example as above
+
+_Optimized approach for finding the maximum sum of m consecutive elements of an array:_
+
+```cpp
+#include <bits/stdc++.h>
+using namespace std;
+
+int findMaximumSum(int arr[], int n, int m)
+{
+  // calculate the sum of first m elements of that array
+  // and store that sum in a variable named running_sum
+  int max_result = 0;
+
+  for (int i = 0; i < m; i++)
+    max_result += arr[i];
+
+  // calculate sum of the remaining windows by
+  // summing up the next element subtracting the
+  // previous element
+  int running_sum = max_result;
+
+  for (int i = m; i < n; i++) {
+    running_sum = running_sum + (arr[i] - arr[i - m]);
+    max_result = max(max_result, running_sum);
+  }
+
+  return max_result;
+}
+
+int main()
+{
+  int n = 5;
+  int arr[n] = { 10, 20, 10, 30, 5 };
+  int m = 3;
+  int answer = findMaximumSum(arr, n, m);
+
+  cout<<answer;
+
+  return 0;
+}
+```
+_Output:_
+```
+60
+```
+
+In the above code, we are running a loop till `m` and calculating the sum of the first Window, after that linearly iterating over the whole array and add the next element and subtract the left element and after that maintaining the maximum at every step and moving the left by one unit every time. This algorithm is best optimized for solving this kind of problem where the Window size is fixed

From 9b111dbae5004c06866c3b4c4f897524bef4504e Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 11 Apr 2023 13:36:29 +0300
Subject: [PATCH 019/110] append a note to longest letter subsequence

---
 task-archieve/longest-letter-subsequence/task.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 476b042..17b08e9 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -28,6 +28,8 @@ __Note:__ in order to find out how to use HashMap to solve tasks, please see [th
 
 __Note:__ the particulars of the approach used in this task are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) (same Task Type)
 
+__Note:__ apart from HashMap the approach used in this task is called "_Sliding Window_". Like we said this approach is also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) but you can also read more about the "Sliding Window" approach [here](../literature/sliding-window.md)
+
 </details>
 
 <details>

From 3bdf35345bddbb5685327b7fa1dc7d88a6d556e3 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 11 Apr 2023 14:49:02 +0300
Subject: [PATCH 020/110] create js equivalents for sliding window article

---
 task-archieve/literature/sliding-window.md | 93 ++++++++++++++++++++--
 1 file changed, 85 insertions(+), 8 deletions(-)

diff --git a/task-archieve/literature/sliding-window.md b/task-archieve/literature/sliding-window.md
index 409790e..c985ab6 100644
--- a/task-archieve/literature/sliding-window.md
+++ b/task-archieve/literature/sliding-window.md
@@ -14,17 +14,17 @@ Sliding Window Algorithm is a technique for reducing the complexity of algorithm
 
 ## What is Sliding Window Algorithm?
 
-It is an algorithm where we can fast compute the things which have a fixed Window for calculation and we can fetch the result in an optimized manner than using the nested loops (naive approach). The main goal of this algorithm is to reuse the result of one Window to compute the result of the next Window
+It is an algorithm where we can fast compute the things which have a fixed Window for calculation and we can fetch the result in an optimized manner instead of using the nested loops (naive approach). The main goal of this algorithm is to reuse the result of one Window to compute the result of the next Window
 
-Suppose there is a group of friends of 12 people and they decided to party together but the major concern is who is going to throw that treat. After a lot of discussion among them, they concluded that they are sitting at a round table and the group of three who is sitting adjacent to each other and have the sum of age of every member of that group is maximum among other groups of the same size will pay the bill
+Suppose there is a group of friends of 12 people and they decided to party together but the major concern is who is going to throw that treat. After a lot of discussion among them, they concluded that they are sitting at a round table and the group of three who is sitting adjacent to each other and have the sum of age of every member of that group that is maximum among other groups of the same size will pay the bill
 
-So, to find that group the naive approach would be to consider every person and run a loop for the next three's sum of age but it would take `O( 12*3 )` units here. We can use the Sliding Window technique and could reduce this problem from `O(12*3)` to `O(12)`. In the next section, we will see how we can use the Sliding Window technique to solve this problem
+So, to find that group the naive approach would be to consider every person and run a loop for the next three's sum of age but it would take `O(12*3)` units here. We can use the Sliding Window technique and could reduce this problem from `O(12*3)` to `O(12)`. In the next section, we will see how we can use the Sliding Window technique to solve this problem
 
 ## How to use Sliding Window Technique?
 
 We can use the Sliding Window technique in the example mentioned above
 
-At first, we will add the sum of the age of three members and after that, we will keep adding the next one and subtracting the last one so that after every step we can get the sum of the age of three person and we keep comparing the sum. Here the Window size is `3` and to compute next group age sum we slide the Window. The time complexity of this algorithm is `O(12)` units and this whole algorithm is Sliding Window Algorithm. Most of the Sliding Window problems can be solved using this algorithm, the portion here which slides every time is the Sliding Window
+At first, we will add the sum of the age of three members and after that, we will keep adding the next one and subtracting the last one so that after every step we can get the sum of the age of three people and we keep comparing the sum. Here the Window size is `3` and to compute next group age sum we slide the Window. The time complexity of this algorithm is `O(12)` units and this whole algorithm is Sliding Window Algorithm. Most of the Sliding Window problems can be solved using this algorithm, the portion here which slides every time is the Sliding Window
 
 Let's suppose the students of different ages are:
 
@@ -32,11 +32,11 @@ Let's suppose the students of different ages are:
 [21, 23, 24, 22, 22, 21, 26, 23, 22, 21, 24, 20]
 ```
 
-And the different windows of 3 people sitting adjacent to each other are: __`[21,23,24]`__ , __`[23,24,22]`__ , __`[24,22,22]`__ , __`[22,22,21]`__ , __`[22,21,26]`__ , __`[21,26,23]`__ , __`[26,23,22]`__ , __`[23,22,21]`__ , __`[22,21,24]`__ , __`[21,24,20]`__
+And the different windows of 3 people sitting adjacent to each other are: __`[21,23,24]`__, __`[23,24,22]`__, __`[24,22,22]`__, __`[22,22,21]`__, __`[22,21,26]`__, __`[21,26,23]`__, __`[26,23,22]`__, __`[23,22,21]`__, __`[22,21,24]`__, __`[21,24,20]`__
 
 The sums here respectively are calculated using the Sliding Window technique, lets have a look how we approach this problem
 
-The sum of first three are `21 + 23 + 24 = 68`, and the rest ones are `68 - 21 + 22 = 69`, `69 - 23 + 22 = 68` and so on till last. Here, we can compare the sums calculated at each step to find the required answer
+The sum of the first three are `21 + 23 + 24 = 68`, and the rest ones are `68 - 21 + 22 = 69`, `69 - 23 + 22 = 68` and so on till last. Here, we can compare the sums calculated at each step to find the required answer
 
 ## Basic Steps to Solve Sliding Window Problems
 
@@ -98,6 +98,40 @@ _Output:_
 60
 ```
 
+<details>
+
+<summary>JavaScript equivalent</summary>
+
+```js
+// a function to calculate maximum sum of subarray of size m in an array of size n
+function findMaximumSum(arr, n, m) {
+    let maxResult = 0;
+
+    for (let i = 0; i <= n - m; i++) {
+        let runningSum = 0;
+
+        for (let j = i; j < i + m; j++) {
+            runningSum += arr[j];
+        }
+
+        // update the maxResult variable (counter)
+        maxResult = Math.max(maxResult, runningSum);
+    }
+
+    return maxResult;
+}
+
+const arr = [10, 20, 10, 30, 5];
+const n = 5;
+const m = 3;
+
+console.log(
+    findMaximumSum(arr, n, m)
+);
+```
+
+</details>
+
 And the time complexity of running this algorithm is `O(n*m)` where `n` is the number of elements in the array and `m` is the size of the Window
 
 Optimized approach is implemented by using the Sliding Window Technique
@@ -121,7 +155,7 @@ using namespace std;
 
 int findMaximumSum(int arr[], int n, int m)
 {
-  // calculate the sum of first m elements of that array
+  // calculate the sum of the first m elements of that array
   // and store that sum in a variable named running_sum
   int max_result = 0;
 
@@ -158,4 +192,47 @@ _Output:_
 60
 ```
 
-In the above code, we are running a loop till `m` and calculating the sum of the first Window, after that linearly iterating over the whole array and add the next element and subtract the left element and after that maintaining the maximum at every step and moving the left by one unit every time. This algorithm is best optimized for solving this kind of problem where the Window size is fixed
+<details>
+
+<summary>JavaScript equivalent</summary>
+
+```js
+function findMaximumSum(arr, n, m) {
+    // calculate the sum of the first m elements of that array
+    // and store that sum in a variable named runningSum
+    let maxResult = 0;
+
+    for (let i = 0; i < m; i++) {
+        maxResult += arr[i];
+    }
+
+    // calculate sum of the remaining windows by
+    // summing up the next element subtracting the
+    // previous element
+    let runningSum = maxResult;
+
+    for (let i = m; i < n; i++) {
+        const previousElement = arr[i - m];
+        const newElement = arr[i];
+
+        runningSum -= previousElement;
+        runningSum += newElement;
+
+        maxResult = Math.max(maxResult, runningSum);
+    }
+
+    return maxResult;
+}
+
+const arr = [10, 20, 10, 30, 5];
+const n = 5;
+const m = 3;
+
+console.log(
+    findMaximumSum(arr, n, m)
+);
+```
+
+</details>
+
+In the above code, we are running a loop till `m` and calculating the sum of the first Window, after that linearly iterating over the whole array and add the next element and subtract the left element and after that maintaining the maximum at every step and moving left by one unit every time. This algorithm is best optimized for solving this kind of problem where the Window size is fixed

From 80d6617fce814f642554926bc97a37ed7af6f588 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 12 Apr 2023 22:46:24 +0300
Subject: [PATCH 021/110] Create the HashMap article and make things better

---
 task-archieve/contiguous-array/task.md        |   4 +-
 task-archieve/literature/hash-map.md          | 105 ++++++++++++++++++
 .../longest-letter-subsequence/task.md        |   2 +-
 task-archieve/task-type.md                    |  47 +++++---
 4 files changed, 140 insertions(+), 18 deletions(-)
 create mode 100644 task-archieve/literature/hash-map.md

diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index 56ae882..532e945 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -24,7 +24,9 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
 It is a "One Pointer One Array and HashMap" Task Type. We can use HashMap to solve this one (except it is not so obvious at first)
 
-__Note:__ the solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the "One Pointer One Array and HashMap" Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial!). However _this_ "Contiguous Array" task is more like "One Pointer One Array and HashMap + Counter" Task Type though we can say that it is still "One Pointer One Array and HashMap" Task Type because we use HashMap to solve this task just like in the "Remove Duplicate From An Array" task
+__Note:__ the solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the "One Pointer One Array and HashMap" Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial!). However _this_ "Contiguous Array" task is more like "One Pointer One Array and HashMap + Counter" Task Type though we can say that it is still "One Pointer One Array and HashMap" Task Type because we use HashMap to solve this task just like in the "Remove Duplicate From An Array" task
+
+__Note:__ you can read more about using HashMap to solve tasks in [this article](../literature/hash-map.md) as this and many other tasks requires this knowledge
 
 </details>
 
diff --git a/task-archieve/literature/hash-map.md b/task-archieve/literature/hash-map.md
new file mode 100644
index 0000000..57a9a3e
--- /dev/null
+++ b/task-archieve/literature/hash-map.md
@@ -0,0 +1,105 @@
+# Using HashMap to solve tasks
+
+Imagine we have a task to find a duplicate number in an _unsorted_ array `[5, 2, 4, 3, 7, 1, 6, 7]`
+
+The naive solution would be to use nested loops to solve this task. The code would be something like this:
+
+```js
+function findDuplicate(arr) {
+  for (let i = 0; i < arr.length; i++) {
+    const value = arr[i];
+
+    for (let j = 0; j < arr.length; j++) {
+      if (i === j) {
+        continue;
+      }
+
+      if (arr[j] === value) {
+        return value;
+      }
+    }
+  }
+
+  return null;
+}
+```
+
+However the algorithm with nested loops above runs in `O(n^2)` time complexity and while it may still work pretty fast on small arrays it will be really _slow_ on really big arrays
+
+So let's see how we can solve the problem of finding a duplicate number in an unsorted array by using a HashMap
+
+First let's see what is a HashMap. HashMap is a Data Structure that allows us to associate some "key" (usually it is a simple string) with some value. So you store some value under some key and the main power of HashMap is that you can get any value from it by using the right key in _constant_ `O(1)` time ("constant" means that the operation of retrieving the value from the HashMap happens instantly and you don't have to iterate an array of all values in the HashMap to get the value but the HashMap can instantly return you the value as long as you give the HashMap the key of this value)
+
+We could depict a HashMap visually like this:
+
+```
+a  ->  3
+b  ->  true
+c  ->  "ok"
+```
+
+In the _picture_ above we can see that the HashMap has 3 keys (let's say the keys are simple strings): `a`, `b` and `c`. The key `a` is associated with the the value `3` (number), the key `b` is associated with the the value `true` (boolean) and the key `c` is associated with the the value `"ok"` (string). So for example if we wanted to get the value `"ok"` from the HashMap we would ask the HashMap: _give me the value associated with the key_ `c`; and then we would give the HashMap the key `c` and the HashMap would give to us the value `"ok"`. Moreover, the HashMap is going to give us the value `"ok"` in _constant_ time (like we said before, the HashMap is _not_ going to iterate all the values, it is not going to first look at `3`, then look at `true` only to find `"ok"` at long last in the very end but it is going to return `"ok"` _instantly_, in constant time). This ability of HashMap to return values associated with keys in constant time is very often utilized to solve the tasks
+
+If you want to find out more about HashMap or how it works under the hood, you can look [here](../../snippets/Data%20Structures/hash-tables.js) or better still watch the CS50 lecture or some other Computer Science video on HashMaps but please note that HashMap go by different names all of which mean the same thing. The alternative names for HashMap are: Hash Table, Map or, more broadly, Key-Value Storage. We are going to use the name "HashMap" merely for consistency and to avoid confusion
+
+So how do we use a HashMap in JavaScript and how could we possibly use it to solve our task? Let's look into that!
+
+HashMaps are already built into JavaScript, they are a part of the language. In JavaScript HashMaps are simple object literals! Let's write some JavaScript code that creates a HashMap (meaning a simple object) and stores the value `3` (number) associated with the key `abc` and then retireves it:
+
+```js
+const hashMapObjectLiteral = {}; // create HashMap
+
+hashMapObjectLiteral["abc"] = 3; // add value to HashMap
+
+hashMapObjectLiteral["abc"]; // retireves value from HashMap in O(1)
+```
+
+or:
+
+```js
+const hashMapObjectLiteral = {}; // create HashMap
+
+hashMapObjectLiteral.abc = 3; // add value to HashMap
+
+hashMapObjectLiteral.abc; // retireves value from HashMap in O(1)
+```
+
+__Note:__ in JavaScript there is also a built-in `Map` class that allows you to do even more advanced HashMap things (the primary difference is that the built-in `Map` class allows you to use _any values_ as keys while object literals support only strings as keys)
+
+Now that we know how to use a HashMap in JavaScript for constant time lookup of values let's see how we can use a HashMap to solve our task
+
+We indeed don't have to use nested loops to solve our task but we can use a HashMap. We will write an algorithm that will iterate the array and for every value do the following:
+
+- use _value of the array_ as a _key_ of the HashMap and store in HashMap the value `true` associated with every key of the HashMap (the key being, as we said, the value of the array we are currently looking at, therefore a number, which can be easily converted to a string in JavaScript like `3` becomes `"3"`)
+
+- see if there is any value in the HashMap associated with that key
+
+- if there is no value associated with that key in the HashMap then let's store value `true` at that key in the HashMap
+
+- if HashMap already has value `true` associated with that key (once again, the key being the value of the array we are currently looking at) then it means that we have already _seen_ (in one of the previous iterations) the value of the array we are currently looking at and therefore we know that this value is _duplicated_ and we can return it
+
+Here is the code:
+
+```js
+function findDuplicate(arr) {
+  const hashMap = {}; // create HashMap
+
+  for (let i = 0; i < arr.length; i++) {
+    const value = arr[i];
+
+    if (hashMap[value]) {
+      // we have already seen this value!
+      return value;
+    } else {
+      // we haven't seen this value before
+      hashMap[value] = true;
+    }
+  }
+
+  return null; // no value is duplicated
+}
+```
+
+Note how the algorithm using a HashMap above also uses only _one_ for-loop to do the job. Therefore the solution above has `O(n)` time complexity (where `n` is the number of elements in the array), which is significantly better than our previous `O(n^2)` solution using nested loops
+
+HashMap is a very powerful Data Structure and a technique for solving tasks efficiently and we will see many tasks to solve which you need to use the power of HashMap
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 17b08e9..3fc7f4f 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -24,7 +24,7 @@ It is one of those tasks where you use two pointers (save indexes like `i` and `
 
 But for this particular task you may also need to enable the _power of hashmap_
 
-__Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md)
+__Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md) or simply read [this article](../literature/hash-map.md)
 
 __Note:__ the particulars of the approach used in this task are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) (same Task Type)
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index cdf9925..d2cf5e4 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -4,40 +4,55 @@ _Tasks grouped by_ `Task Type`
 
 ---
 
-- __One Pointer One Array__
+## One Pointer One Array
   - [Find Peak Element](./find-peak-element/task.md)
-- __Two Pointers Two Arrays__
+
+## Two Pointers Two Arrays
   - [Intersection of intervals](./intersection-intervals/task.md)
-- __Two Pointers One Array__
+
+## Two Pointers One Array
   - [Container With Most Water](./most-water/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
-- __Two Pointers One Array Sliding Window__
+
+## Two Pointers One Array Sliding Window
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
   - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
-- __One Pointer One Array and One or More Counters__
+
+## One Pointer One Array and One or More Counters
   - [Longest sequence of 1's](./longest-sequence-of-1s/task.md)
-- __One Pointer One Array and HashMap__
+
+## One Pointer One Array and HashMap
   - [Contiguous Array](./contiguous-array/task.md)
-- __One Pointer One Array and Stack__
+
+## One Pointer One Array and Stack
   - [Valid Parentheses](./valid-parentheses/task.md)
-- __Array Math Operation on All Elements__
+
+## Array Math Operation on All Elements
   - [Single Number](./single-number/task.md)
-- __Array Relation of Indexes and Values or Indexes to Values__
+
+## Array Relation of Indexes and Values or Indexes to Values
   - [Zigzag Conversion](./zigzag-conversion/task.md)
-- __While Loop and Stack__
+
+## While Loop and Stack
   - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
-- __In-Place Swap and Overwrite__
+
+## In-Place Swap and Overwrite
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
   - [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)
-- __Matrix__
+
+## Matrix
   - [Sort the Matrix diagonally](./matrix-diagonal-sort/task.md)
-- __Numbers Math__
+
+## Numbers Math
   - [Keygen](./keygen/task.md)
   - [Maximum Product Subarray](./maximum-product-subarray/task.md)
-- __Fibonacci Sequence__
+
+## Fibonacci Sequence
   - [Climbing Stairs](./climb-stairs/task.md)
-- __Check if Puzzle is Solvable__
+
+## Check if Puzzle is Solvable
   - [Word Search](./word-search/task.md)
   - [Sudoku Solver](../cheatsheet/sudoku.js)
-- __Backtracking Depth-first Search of Array__
+
+## Backtracking Depth-first Search of Array
   - [Combinations](./combinations/task.md)

From 4138f181c33a282a7e093ca5e7755c63db04f68b Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 12 Apr 2023 22:50:24 +0300
Subject: [PATCH 022/110] Make headers smaller

---
 task-archieve/task-type.md | 32 ++++++++++++++++----------------
 1 file changed, 16 insertions(+), 16 deletions(-)

diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index d2cf5e4..df59746 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -4,55 +4,55 @@ _Tasks grouped by_ `Task Type`
 
 ---
 
-## One Pointer One Array
+#### One Pointer One Array
   - [Find Peak Element](./find-peak-element/task.md)
 
-## Two Pointers Two Arrays
+#### Two Pointers Two Arrays
   - [Intersection of intervals](./intersection-intervals/task.md)
 
-## Two Pointers One Array
+#### Two Pointers One Array
   - [Container With Most Water](./most-water/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 
-## Two Pointers One Array Sliding Window
+#### Two Pointers One Array Sliding Window
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
   - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
 
-## One Pointer One Array and One or More Counters
+#### One Pointer One Array and One or More Counters
   - [Longest sequence of 1's](./longest-sequence-of-1s/task.md)
 
-## One Pointer One Array and HashMap
+#### One Pointer One Array and HashMap
   - [Contiguous Array](./contiguous-array/task.md)
 
-## One Pointer One Array and Stack
+#### One Pointer One Array and Stack
   - [Valid Parentheses](./valid-parentheses/task.md)
 
-## Array Math Operation on All Elements
+#### Array Math Operation on All Elements
   - [Single Number](./single-number/task.md)
 
-## Array Relation of Indexes and Values or Indexes to Values
+#### Array Relation of Indexes and Values or Indexes to Values
   - [Zigzag Conversion](./zigzag-conversion/task.md)
 
-## While Loop and Stack
+#### While Loop and Stack
   - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
 
-## In-Place Swap and Overwrite
+#### In-Place Swap and Overwrite
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
   - [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)
 
-## Matrix
+#### Matrix
   - [Sort the Matrix diagonally](./matrix-diagonal-sort/task.md)
 
-## Numbers Math
+#### Numbers Math
   - [Keygen](./keygen/task.md)
   - [Maximum Product Subarray](./maximum-product-subarray/task.md)
 
-## Fibonacci Sequence
+#### Fibonacci Sequence
   - [Climbing Stairs](./climb-stairs/task.md)
 
-## Check if Puzzle is Solvable
+#### Check if Puzzle is Solvable
   - [Word Search](./word-search/task.md)
   - [Sudoku Solver](../cheatsheet/sudoku.js)
 
-## Backtracking Depth-first Search of Array
+#### Backtracking Depth-first Search of Array
   - [Combinations](./combinations/task.md)

From bc6085f15ea51615906d5b2ef1a7f0ad4906d71c Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 12 Apr 2023 22:51:37 +0300
Subject: [PATCH 023/110] Make headers bigger

---
 task-archieve/task-type.md | 32 ++++++++++++++++----------------
 1 file changed, 16 insertions(+), 16 deletions(-)

diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index df59746..a37ef6a 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -4,55 +4,55 @@ _Tasks grouped by_ `Task Type`
 
 ---
 
-#### One Pointer One Array
+### One Pointer One Array
   - [Find Peak Element](./find-peak-element/task.md)
 
-#### Two Pointers Two Arrays
+### Two Pointers Two Arrays
   - [Intersection of intervals](./intersection-intervals/task.md)
 
-#### Two Pointers One Array
+### Two Pointers One Array
   - [Container With Most Water](./most-water/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 
-#### Two Pointers One Array Sliding Window
+### Two Pointers One Array Sliding Window
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
   - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
 
-#### One Pointer One Array and One or More Counters
+### One Pointer One Array and One or More Counters
   - [Longest sequence of 1's](./longest-sequence-of-1s/task.md)
 
-#### One Pointer One Array and HashMap
+### One Pointer One Array and HashMap
   - [Contiguous Array](./contiguous-array/task.md)
 
-#### One Pointer One Array and Stack
+### One Pointer One Array and Stack
   - [Valid Parentheses](./valid-parentheses/task.md)
 
-#### Array Math Operation on All Elements
+### Array Math Operation on All Elements
   - [Single Number](./single-number/task.md)
 
-#### Array Relation of Indexes and Values or Indexes to Values
+### Array Relation of Indexes and Values or Indexes to Values
   - [Zigzag Conversion](./zigzag-conversion/task.md)
 
-#### While Loop and Stack
+### While Loop and Stack
   - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
 
-#### In-Place Swap and Overwrite
+### In-Place Swap and Overwrite
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
   - [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)
 
-#### Matrix
+### Matrix
   - [Sort the Matrix diagonally](./matrix-diagonal-sort/task.md)
 
-#### Numbers Math
+### Numbers Math
   - [Keygen](./keygen/task.md)
   - [Maximum Product Subarray](./maximum-product-subarray/task.md)
 
-#### Fibonacci Sequence
+### Fibonacci Sequence
   - [Climbing Stairs](./climb-stairs/task.md)
 
-#### Check if Puzzle is Solvable
+### Check if Puzzle is Solvable
   - [Word Search](./word-search/task.md)
   - [Sudoku Solver](../cheatsheet/sudoku.js)
 
-#### Backtracking Depth-first Search of Array
+### Backtracking Depth-first Search of Array
   - [Combinations](./combinations/task.md)

From 957662afffee36b2a98402389f803cd9409310db Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 13 Apr 2023 19:11:18 +0300
Subject: [PATCH 024/110] finish the HashMap article

---
 task-archieve/literature/hash-map.md | 49 +++++++++++++++++++++++++++-
 1 file changed, 48 insertions(+), 1 deletion(-)

diff --git a/task-archieve/literature/hash-map.md b/task-archieve/literature/hash-map.md
index 57a9a3e..92f2f19 100644
--- a/task-archieve/literature/hash-map.md
+++ b/task-archieve/literature/hash-map.md
@@ -70,7 +70,7 @@ Now that we know how to use a HashMap in JavaScript for constant time lookup of
 
 We indeed don't have to use nested loops to solve our task but we can use a HashMap. We will write an algorithm that will iterate the array and for every value do the following:
 
-- use _value of the array_ as a _key_ of the HashMap and store in HashMap the value `true` associated with every key of the HashMap (the key being, as we said, the value of the array we are currently looking at, therefore a number, which can be easily converted to a string in JavaScript like `3` becomes `"3"`)
+- use _value of the array_ as a _key_ of the HashMap and store in HashMap the value `true` associated with every key of the HashMap (the key being, as we said, the value of the array we are currently looking at, therefore a number, which can be easily converted to a string in JavaScript to be used as a key like `3` becomes `"3"`)
 
 - see if there is any value in the HashMap associated with that key
 
@@ -103,3 +103,50 @@ function findDuplicate(arr) {
 Note how the algorithm using a HashMap above also uses only _one_ for-loop to do the job. Therefore the solution above has `O(n)` time complexity (where `n` is the number of elements in the array), which is significantly better than our previous `O(n^2)` solution using nested loops
 
 HashMap is a very powerful Data Structure and a technique for solving tasks efficiently and we will see many tasks to solve which you need to use the power of HashMap
+
+### Notes
+
+__Note:__ this task cannot be solved in `O(n)` _just_ by using for-loops but we would easily solve this task in `O(n)` indeed by using only one for-loop _if_ the elements in the array were to be sorted because then we would simply look at the current element and see if the next element is equal to it or not: the equal element (number that is) would be the one that is duplicated. So if the array is sorted then it is not a HashMap type of task but a simple One Pointer One Array type of task
+
+__Note:__ using a HashMap is indeed a great performance optimization and almost always you will want to use a HashMap if it solves the problem but merely for practical purposes it is worth mentioning that using a HashMap is sort of a trade-off because when you use a HashMap your code starts consuming more memory (because HashMap requires memory in RAM to store all the values and keys), in other words it requires `O(n)` extra memory (where `n` is the number of elements in the array), so the bigger the input arrray the more memory our code will need while the approach with two nested loops does not consume any extra memory at all. Usually it is OK to consume memory in order to make apps work faster by using all kinds of fancy Data Structures all of which require memory space to store data but it is still worth mentioning that using HashMap or other Data Structures is a trade-off whereas you can make your code run faster at the expense of consuming more memory
+
+__Note:__ HashMap is not the only Data Structure that we can utilize in addition to for-loops and while-loops in order to solve tasks. There are also all kinds of other Data Structures out there that can help us solve tasks in linear `O(n)` time or that provide the only way to solve the task at all but we will see them later on. Feel free to have a look at other [Task Types](../task-type.md) for application of other Data Structures for solving tasks. Good examples of other Data Structures that we can use for solving tasks (just like we have seen HashMap used in this article) are Binary Trees or Graphs
+
+### Bonus
+
+Here is another task that can be solved using HashMap. Try solving this one yourself so you can train your brain to see the cases where you may need to use HashMap. And if you get stuck feel free to see the solution in the spoiler down below
+
+So here is the task:
+
+Given a string of the form `aaabbcccbbbddc` transform it into a string of the form `a3b5c4d2` (letters followed by the number of times the letter is encountered within the string, note that letters may not form a contiguous sequence, look at the letter `b` for example, it is followed by other letters and then can be seen again)
+
+<details>
+
+<summary>Solution</summary>
+
+We need to iterate the string as an array and create a HashMap using letters of the string as keys of the HashMap and associate with every key (therefore a letter of the string) the number of times the letter has been encountered inside the string. Then all we gotta do is iterate the keys of the HashMap (therefore all the letters that were encountered inside the string) and output each key of the HashMap (therefore a letter from the string) followed by the value associated with that key of the HashMap (therefore the number of times the letter has been encountered in the string) and we will get the result that we need
+
+Here is the code:
+
+```js
+function transformString(str) {
+  const hashMap = {};
+
+  for (let i = 0; i < str.length; i++) {
+    const letter = str[i];
+
+    if (letter in hashMap) {
+      hashMap[letter]++;
+    } else {
+      hashMap[letter] = 1;
+    }
+  }
+
+  return Object.entries(hashMap).reduce(
+    (result, [letter, count]) => result + letter + count,
+    ''
+  );
+}
+```
+
+</details>

From 5b317d74306ed989e7548683b06d9704a5f940f5 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 13 Apr 2023 19:14:06 +0300
Subject: [PATCH 025/110] make the links to the article a bit more beautiful

---
 task-archieve/best-time-to-buy-and-sell-stock/task.md | 2 +-
 task-archieve/longest-letter-subsequence/task.md      | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index 827f3a3..685c5de 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -33,7 +33,7 @@ You should also note that with Sliding Window technique you don't have to always
 
 __Note:__ [this task](../longest-letter-subsequence/task.md) is likewise Sliding Window but since Sliding Window Task Type is also Two Pointers Task Type it is listed in that category as well
 
-__Note:__ you can read more about the "Sliding Window" approach [here](../literature/sliding-window.md)
+__Note:__ you can read more about the "Sliding Window" approach in [this article](../literature/sliding-window.md)
 
 </details>
 
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 3fc7f4f..7081276 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -28,7 +28,7 @@ __Note:__ in order to find out how to use HashMap to solve tasks, please see [th
 
 __Note:__ the particulars of the approach used in this task are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) (same Task Type)
 
-__Note:__ apart from HashMap the approach used in this task is called "_Sliding Window_". Like we said this approach is also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) but you can also read more about the "Sliding Window" approach [here](../literature/sliding-window.md)
+__Note:__ apart from HashMap the approach used in this task is called "_Sliding Window_". Like we said this approach is also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) but you can also read more about the "Sliding Window" approach in [this article](../literature/sliding-window.md)
 
 </details>
 

From 742010e8704c8ee40712a2f142f0fe31224e2bde Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 13 Apr 2023 21:16:15 +0300
Subject: [PATCH 026/110] make links of task type to the older tasks

---
 task-archieve/contiguous-array/task.md        | 16 ++++++++--------
 task-archieve/find-peak-element/task.md       |  6 ++++++
 task-archieve/intersection-intervals/task.md  |  2 ++
 task-archieve/keygen/task.md                  | 11 +++++++++++
 task-archieve/longest-sequence-of-1s/task.md  |  2 ++
 task-archieve/sort-letters-two-arrays/task.md |  2 ++
 task-archieve/task-type.md                    |  2 +-
 7 files changed, 32 insertions(+), 9 deletions(-)

diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index 532e945..ee5036e 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -28,6 +28,14 @@ __Note:__ the solution to the ["Remove Duplicate From An Array" task](../../1\)%
 
 __Note:__ you can read more about using HashMap to solve tasks in [this article](../literature/hash-map.md) as this and many other tasks requires this knowledge
 
+__Note:__ we have likewise seen lots of other HashMap tasks before:
+- [First Non Repeating Char in a String](../../1\)%20Task%20Challanges.md#20-first-non-repeating-char-in-a-string)
+- [Remove Duplicate Chars from a String](../../2\)%20Task%20Challanges.md#21-remove-duplicate-chars-from-a-string)
+- [Sum of two equal to a number](../../2\)%20Task%20Challanges.md#24-sum-of-two-equal-to-a-number)
+- [Largest Sum of Two](../../2\)%20Task%20Challanges.md#25-largest-sum-of-two)
+- [Cash Exchange](../../cheatsheet/cash-exchange.js)
+- [Longest Consequtive Sequence](../../cheatsheet/longest-cons-sequence.js)
+
 </details>
 
 <details>
@@ -40,14 +48,6 @@ The key point to solving this task is to realize that we don't have to always ar
 
 </details>
 
-<details>
-
-<summary>Similar Tasks</summary>
-
-- [Remove Duplicate From An Array](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array)
-
-</details>
-
 ---
 
 | [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
index 205c29a..7883e92 100644
--- a/task-archieve/find-peak-element/task.md
+++ b/task-archieve/find-peak-element/task.md
@@ -38,6 +38,12 @@ We have already seen a similar task called [Love Triangle](../../cheatsheet/love
 
 __Note:__ in the Love Triangle task as we iterate the array we also employ a technique where we use _values_ of elements of the array as _indexes_ (in order to check if there is a cycle)
 
+__Note:__ we have already seen a lot of tasks of the One Pointer One Array type:
+- [Palindrome](../../1\)%20Task%20Challanges.md#3-palindrome)
+- [Stringo Reverso](../../1\)%20Task%20Challanges.md#17-stringo-reverso)
+- [Reverse Word Order](../../1\)%20Task%20Challanges.md#18-reverse-word-order)
+- [Reverse Words In Place](../../1\)%20Task%20Challanges.md#19-reverse-words-in-place)
+
 </details>
 
 ---
diff --git a/task-archieve/intersection-intervals/task.md b/task-archieve/intersection-intervals/task.md
index 246c0d7..77a30b2 100644
--- a/task-archieve/intersection-intervals/task.md
+++ b/task-archieve/intersection-intervals/task.md
@@ -22,6 +22,8 @@ user2 [(10, 14), (21, 22)]
 
 It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable, `i` is for the 1st array and `j` is for the 2nd array) to iterate __two__ arrays _specially_ for example by increasing / decrasing either one or the other or both pointers per iteration. The part of the "Merge Sort" algorithm that checks two sub-arrays uses similar mechanics ([link](../../snippets/algorithms/merge-sort.js#L12))
 
+__Note:__ ["Merge Two Sorted Arrays" task](../../1\)%20Task%20Challanges.md#15-merge-two-sorted-arrays) is the most classic example of a task that uses the approach of solving tasks that has been showcased in this particular task (where we have two pointers that point to two arrays and we increment either one pointer or the other, read above)
+
 </details>
 
 ---
diff --git a/task-archieve/keygen/task.md b/task-archieve/keygen/task.md
index 2d1aaa4..37696ea 100644
--- a/task-archieve/keygen/task.md
+++ b/task-archieve/keygen/task.md
@@ -23,6 +23,17 @@ keygen(4, 13); // => [2, 5, 3, 3]
 
 This is more of a numbers task type than any of the array task types
 
+We have already encountered number task types:
+- [Decimal To Binary](../../1\)%20Task%20Challanges.md#1-decimal-to-binary)
+- [Binary To Decimal](../../1\)%20Task%20Challanges.md2-binary-to-decimal)
+- [Prime Number](../../1\)%20Task%20Challanges.md#9-prime-number)
+- [Prime Factors](../../1\)%20Task%20Challanges.md#11-prime-factors)
+- [Fibonacci](../../1\)%20Task%20Challanges.md#12-fibonacci)
+- [Greatest Common Divisor](../../1\)%20Task%20Challanges.md#13-greatest-common-divisor)
+- [Swap Numbers Without Temp](../../1\)%20Task%20Challanges.md#16-swap-numbers-without-temp)
+- [Counting Zeros](../../2\)%20Task%20Challanges.md#26-counting-zeros)
+- [Advanced Zeros](../../cheatsheet/advanced-zeros.js)
+
 </details>
 
 ---
diff --git a/task-archieve/longest-sequence-of-1s/task.md b/task-archieve/longest-sequence-of-1s/task.md
index 01b9a3e..9e43db4 100644
--- a/task-archieve/longest-sequence-of-1s/task.md
+++ b/task-archieve/longest-sequence-of-1s/task.md
@@ -18,6 +18,8 @@ It is one of those tasks where you use one pointer to iterate the array as well
 
 __Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration (and if we say "reset the counter" it means assign to the counter the value that it had before we started iterating the array)
 
+__Note:__ we have already seen a somewhat simpler task where we used counters to solve it. The task is called ["3 Greatest Integers in an Array"](../../2\)%20Task%20Challanges.md#30-3-greatest-integers-in-an-array)
+
 </details>
 
 ---
diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
index a1c7bc5..a356e64 100644
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ b/task-archieve/sort-letters-two-arrays/task.md
@@ -69,6 +69,8 @@ function sort(array, order) {
 
 __Note:__ this example of a solution above (which we said doesn't solve this particular task) doesn't swap but rather overwrites elements of the array. The Task Type we are studying in this particular task is called "In-Place Swap and Overwrite". To solve this particular task you need to swap elements instead of overwriting them and for the overwrite variant of this Task Type feel free to check out the [sibling task](../remove-duplicates-v2/task.md)
 
+__Note:__ we have already seen the ["Push Zeros Case" task](../../2\)%20Task%20Challanges.md#29-push-zeros-case) where we used the In-Place Swap algorithm to solve it
+
 </details>
 
 ---
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index a37ef6a..f5687da 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -15,8 +15,8 @@ _Tasks grouped by_ `Task Type`
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 
 ### Two Pointers One Array Sliding Window
-  - [Longest sequence of letters](./longest-letter-subsequence/task.md)
   - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
+  - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 
 ### One Pointer One Array and One or More Counters
   - [Longest sequence of 1's](./longest-sequence-of-1s/task.md)

From d94278d35b1f8c20730ff05d909f18e56ebfe756 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 13 Apr 2023 21:21:49 +0300
Subject: [PATCH 027/110] little clarification perhaps

---
 task-archieve/sort-letters-two-arrays/task.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
index a356e64..ece388b 100644
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ b/task-archieve/sort-letters-two-arrays/task.md
@@ -69,7 +69,7 @@ function sort(array, order) {
 
 __Note:__ this example of a solution above (which we said doesn't solve this particular task) doesn't swap but rather overwrites elements of the array. The Task Type we are studying in this particular task is called "In-Place Swap and Overwrite". To solve this particular task you need to swap elements instead of overwriting them and for the overwrite variant of this Task Type feel free to check out the [sibling task](../remove-duplicates-v2/task.md)
 
-__Note:__ we have already seen the ["Push Zeros Case" task](../../2\)%20Task%20Challanges.md#29-push-zeros-case) where we used the In-Place Swap algorithm to solve it
+__Note:__ we have already seen the ["Push Zeros Case" task](../../2\)%20Task%20Challanges.md#29-push-zeros-case) where we used the In-Place Swap type of algorithm to solve it
 
 </details>
 

From bd234fcf0a5f4aff6eeb72d41fce2d0f2892b4d3 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 13 Apr 2023 21:23:56 +0300
Subject: [PATCH 028/110] fix missing character

---
 task-archieve/keygen/task.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/keygen/task.md b/task-archieve/keygen/task.md
index 37696ea..cca26eb 100644
--- a/task-archieve/keygen/task.md
+++ b/task-archieve/keygen/task.md
@@ -25,7 +25,7 @@ This is more of a numbers task type than any of the array task types
 
 We have already encountered number task types:
 - [Decimal To Binary](../../1\)%20Task%20Challanges.md#1-decimal-to-binary)
-- [Binary To Decimal](../../1\)%20Task%20Challanges.md2-binary-to-decimal)
+- [Binary To Decimal](../../1\)%20Task%20Challanges.md#2-binary-to-decimal)
 - [Prime Number](../../1\)%20Task%20Challanges.md#9-prime-number)
 - [Prime Factors](../../1\)%20Task%20Challanges.md#11-prime-factors)
 - [Fibonacci](../../1\)%20Task%20Challanges.md#12-fibonacci)

From d81eee4098fa65021438376e86d01df039c2a333 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 17 Apr 2023 01:45:25 +0300
Subject: [PATCH 029/110] create partition labels task

---
 task-archieve/README.md                      |   3 +
 task-archieve/extra-documentation.md         |   1 +
 task-archieve/partition-labels/image.png     | Bin 0 -> 104377 bytes
 task-archieve/partition-labels/solution-2.js |  32 +++++++
 task-archieve/partition-labels/solution.js   |  54 +++++++++++
 task-archieve/partition-labels/task.md       |  92 +++++++++++++++++++
 task-archieve/task-type.md                   |   3 +
 7 files changed, 185 insertions(+)
 create mode 100644 task-archieve/extra-documentation.md
 create mode 100644 task-archieve/partition-labels/image.png
 create mode 100644 task-archieve/partition-labels/solution-2.js
 create mode 100644 task-archieve/partition-labels/solution.js
 create mode 100644 task-archieve/partition-labels/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 63c8d2e..af18bd6 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -4,6 +4,8 @@ _List of tasks_
 
 ---
 
+[:bulb: __Extra Documentation__](./extra-documentation.md)
+
 - [Find Peak Element](./find-peak-element/task.md)
 - [Container With Most Water](./most-water/task.md)
 - [Zigzag Conversion](./zigzag-conversion/task.md)
@@ -25,3 +27,4 @@ _List of tasks_
 - [Fruit Into Baskets](./fruit-into-baskets/task.md)
 - [Single Number](./single-number/task.md)
 - [Valid Parentheses](./valid-parentheses/task.md)
+- [Partition Labels](./partition-labels/task.md)
diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
new file mode 100644
index 0000000..579d4bd
--- /dev/null
+++ b/task-archieve/extra-documentation.md
@@ -0,0 +1 @@
+# Extra Documentation of Task Archieve
diff --git a/task-archieve/partition-labels/image.png b/task-archieve/partition-labels/image.png
new file mode 100644
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diff --git a/task-archieve/partition-labels/solution-2.js b/task-archieve/partition-labels/solution-2.js
new file mode 100644
index 0000000..0cc7405
--- /dev/null
+++ b/task-archieve/partition-labels/solution-2.js
@@ -0,0 +1,32 @@
+/* Create HashMap and iterate the input array once again */
+
+function partitionLabels(s) {
+    const hashMap = {}; // maps letters to their last indexes
+    const result = [];
+
+    for (let i = 0; i < s.length; i++) {
+        const letter = s[i];
+
+        hashMap[letter] = i;
+    }
+
+    let prev = -1;
+    let maxLast = 0;
+
+    for (let i = 0; i < s.length; i++) {
+        const letter = s[i];
+
+        maxLast = Math.max(maxLast, hashMap[letter]);
+
+        if (i === maxLast) {
+            result.push(maxLast - prev);
+            prev = maxLast;
+        }
+    }
+
+    return result;
+}
+
+console.log(
+    partitionLabels('ababcbacadefegdehijhklij')
+);
diff --git a/task-archieve/partition-labels/solution.js b/task-archieve/partition-labels/solution.js
new file mode 100644
index 0000000..9a56096
--- /dev/null
+++ b/task-archieve/partition-labels/solution.js
@@ -0,0 +1,54 @@
+/* Create HashMap and iterate it */
+
+function partitionLabels(s) {
+    const hashMap = {};
+
+    for (let i = 0; i < s.length; i++) {
+        const letter = s[i];
+
+        if (letter in hashMap) {
+            hashMap[letter].push(i);
+        } else {
+            hashMap[letter] = [i];
+        }
+    }
+
+    const result = [];
+    let min = undefined;
+    let max = undefined;
+
+    for (const positions of Object.values(hashMap)) {
+        const firstPosition = positions[0];
+        const lastPosition = positions[positions.length - 1];
+
+        if (min === undefined && max === undefined) {
+            min = firstPosition;
+            max = lastPosition;
+            continue;
+        }
+
+        if (firstPosition > max) {
+            const diff = max - min + 1;
+
+            result.push(diff);
+
+            min = firstPosition;
+            max = lastPosition;
+
+            continue;
+        }
+
+        min = Math.min(min, firstPosition);
+        max = Math.max(max, lastPosition);
+    }
+
+    const finalDiff = max - min + 1;
+
+    result.push(finalDiff);
+
+    return result;
+}
+
+console.log(
+    partitionLabels('ababcbacadefegdehijhklij')
+);
diff --git a/task-archieve/partition-labels/task.md b/task-archieve/partition-labels/task.md
new file mode 100644
index 0000000..f504a63
--- /dev/null
+++ b/task-archieve/partition-labels/task.md
@@ -0,0 +1,92 @@
+# Partition Labels
+
+You are given a string `s`. We want to partition the string into as many parts as possible so that each letter appears in at most one part
+
+Note that the partition is done so that after concatenating all the parts in order, the resultant string should be `s`
+
+Return _a list of integers representing the size of these parts_
+
+__Example 1:__
+
+```
+Input: s = "ababcbacadefegdehijhklij"
+Output: [9,7,8]
+Explanation:
+The partition is "ababcbaca", "defegde", "hijhklij"
+This is a partition so that each letter appears in at most one part
+A partition like "ababcbacadefegde", "hijhklij" is incorrect, because it splits s into less parts
+```
+
+__Example 2:__
+
+```
+Input: s = "eccbbbbdec"
+Output: [10]
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+This is a "One Pointer One Array and HashMap" Task Type
+
+We have already seen an example of this Task Type when we were solving the ["Contiguous Array" task](../contiguous-array/task.md). But this task is a tar bit more complicated because in the ["Contiguous Array" task](../contiguous-array/task.md) we simply created a HashMap and it helped us solve the task even while we were iterating the input array (or the input data, to be precise) but in _this_ task we can see the Variation (or the Subtype if you will) of the "One Pointer One Array and HashMap" Task Type where we are supposed to _create one or more HashMaps and then do something with all the new data_. Now what does this mean? It means that we need to iterate the array for the first time to create one or more HashMaps and then there are exactly two things that we can do:
+
+1. iterate in some way the one or more HashMaps that we created during the first pass (__Variation 1__)
+
+2. iterate the input array once again using the knowledge from the one or more HashMaps that we created during the first pass (__Variation 2__)
+
+And thus the solution should be revealed
+
+This task is kind of interesting in that we can solve it using either one or the other of the two Variations explained above! In other words we can solve this task _either_ by iterating the HashMap that we create _or_ by iterating the input array once again using the HashMap
+
+See the Hints below if you get stuck
+
+__Note:__ we say "array" here while the function accepts a string. The logic behind this is that we iterate the string the same way as an array and therefore the input string is like an array for us
+
+__Note:__ it is not always that we can solve the task by following either one of the two Variations explained above. For example we have seen the ["Tickets Orderizer" task](../../2\)%20Task%20Challanges.md#37-tickets-orderizer) before and the only way to solve it is to create a HashMap and then iterate the HashMap _specifically_, therefore following Variation 1 but we cannot solve the "Tickets Orderizer" task following Variation 2
+
+</details>
+
+<details>
+
+<summary>Hint 1</summary>
+
+One thing is for sure, we need to create a HashMap where we map the letters to the indexes in the string at which those letters were encountered
+
+<img src=image.png width=550 />
+
+Then follow one of the two Variations of the "One Pointer One Array and HashMap" Task Type that we learned in the Task Type spoiler above
+
+</details>
+
+<details>
+
+<summary>Hint 2</summary>
+
+As we said there are two approaches that we can use to solve this task (the two Variations of the "One Pointer One Array and HashMap" Task Type that we learned in the Task Type spoiler above)
+
+__Create HashMap and iterate it__
+
+We need to create a HashMap like we have seen in Hint 1 above
+
+Then if you take a look at the _values_ of the HashMap we can see that the values represent _intervals_ indicating the first and last index where each letter can be found in the input string (in the arrays that make up the values of the HashMap the first value is the first index where the letter can be found and can be treated as the start of the _interval_ and the last value is the last index where the letter can be found and therefore can be treated as the end of the _interval_)
+
+In order to solve the task we need to iterate the values of the HashMap and calculate the start and end of the contiguous interval that several letters make up when the intervals of several letter overlap and then find the intervals that don't overlap (start of the next non-overlapping interval should be greater than the end of the previous non-overlapping interval). The start of each non-overlapping interval determines the group of letters which we can separate from the rest as per the requirements of the task
+
+For example the first 3 letters `a`, `b` and `c` form 3 intervals that do overlap: their intervals `[0,8]`, `[1,5]` and `[4,7]` respectively form a contiguous interval of __`[0,8]`__ (smallest letter index and greatest letter index). And if you look further the next four letters `d`, `e`, `f`, and `g` form 4 intervals that do overlap: their intervals `[9,14]`, `[10,15]`, `[11]` and `[13]` respectively form a contiguous interval of __`[9,15]`__ (smallest letter index and greatest letter index). And we can clearly see that the contiguous interval `[0,8]` of `a`, `b`, `c` does _not_ overlap with the contiguous interval `[9,15]` of `d`, `e`, `f`, `g` and therefore we can separate the letters `a`, `b`, `c` into one group and the letters `d`, `e`, `f`, `g` into another group. The lengths of their groups can be determined by the start and end of their contiguous intervals: from `0` to `8` = 9 letters for the first group, from `9` to `15` = 7 letters for the second group, and so on until we have counted all the letters
+
+__Create HashMap and iterate the input array once again__
+
+This solution is a bit less obvious than the first one
+
+First of all we need to create a HashMap like we have seen in Hint 1 above
+
+Then we need to iterate the input array once again and as we do that this time we should be able to get from the HashMap the _last_ index where any given letter we are looking at has been encountered. As we iterate we should thus keep a counter of the greatest _last_ index where the letters we have already iterated have been encountered. What is crucial to notice for solving this task in this way (Variation 2) is that if we are able to find a letter whose index equals to the greatest _last_ index we have seen thus far then we can separate all the letters that we have seen before into a group as per the requirements of the task. Then it should likewise be somewhat trivial to calculate the _length_ of the group we have thus separated
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index f5687da..eeb0195 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -4,6 +4,8 @@ _Tasks grouped by_ `Task Type`
 
 ---
 
+[:bulb: __Extra Documentation__](./extra-documentation.md)
+
 ### One Pointer One Array
   - [Find Peak Element](./find-peak-element/task.md)
 
@@ -23,6 +25,7 @@ _Tasks grouped by_ `Task Type`
 
 ### One Pointer One Array and HashMap
   - [Contiguous Array](./contiguous-array/task.md)
+  - [Partition Labels](./partition-labels/task.md)
 
 ### One Pointer One Array and Stack
   - [Valid Parentheses](./valid-parentheses/task.md)

From edeb1f40de0bacbd3c84098bfeaa8944dc3b0fac Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 17 Apr 2023 02:35:29 +0300
Subject: [PATCH 030/110] create ranges task

---
 task-archieve/README.md                  |  1 +
 task-archieve/summary-ranges/solution.js | 25 ++++++++++++
 task-archieve/summary-ranges/task.md     | 52 ++++++++++++++++++++++++
 task-archieve/task-type.md               |  1 +
 4 files changed, 79 insertions(+)
 create mode 100644 task-archieve/summary-ranges/solution.js
 create mode 100644 task-archieve/summary-ranges/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index af18bd6..c73fdd0 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -28,3 +28,4 @@ _List of tasks_
 - [Single Number](./single-number/task.md)
 - [Valid Parentheses](./valid-parentheses/task.md)
 - [Partition Labels](./partition-labels/task.md)
+- [Summary Ranges](./summary-ranges/task.md)
diff --git a/task-archieve/summary-ranges/solution.js b/task-archieve/summary-ranges/solution.js
new file mode 100644
index 0000000..b10ec76
--- /dev/null
+++ b/task-archieve/summary-ranges/solution.js
@@ -0,0 +1,25 @@
+function summaryRanges(nums) {
+    const result = [];
+    let left = 0;
+    let right = 0;
+
+    while (right < nums.length) {
+        if (nums[right] !== nums[right + 1] - 1) {
+            result.push(
+                left === right
+                    ? nums[right].toString()
+                    : `${nums[left]}->${nums[right]}`
+            );
+
+            left = right + 1;
+        }
+
+        right++;
+    }
+
+    return result;
+}
+
+console.log(
+    summaryRanges([0,1,2,4,5,7])
+);
diff --git a/task-archieve/summary-ranges/task.md b/task-archieve/summary-ranges/task.md
new file mode 100644
index 0000000..9e22845
--- /dev/null
+++ b/task-archieve/summary-ranges/task.md
@@ -0,0 +1,52 @@
+# Summary Ranges
+
+You are given a __sorted unique__ integer array `nums`
+
+A __range__ `[a,b]` is the set of all integers from `a` to `b` (inclusive)
+
+Return _the **smallest sorted** list of ranges that **cover all the numbers in the array exactly**_. That is, each element of `nums` is covered by exactly one of the ranges, and there is no integer `x` such that `x` is in one of the ranges but not in `nums`
+
+Each range `[a,b]` in the list should be output as:
+
+- `"a->b"` if `a != b`
+- `"a"` if `a == b`
+
+__Example 1:__
+
+```
+Input: nums = [0, 1, 2, 4, 5, 7]
+Output: ["0->2", "4->5", "7"]
+Explanation: The ranges are:
+[0,2] --> "0->2"
+[4,5] --> "4->5"
+[7,7] --> "7"
+```
+
+__Example 2:__
+
+```
+Input: nums = [0, 2, 3, 4, 6, 8, 9]
+Output: ["0", "2->4", "6", "8->9"]
+Explanation: The ranges are:
+[0,0] --> "0"
+[2,4] --> "2->4"
+[6,6] --> "6"
+[8,9] --> "8->9"
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+Sliding Window. We have seen this technique in [this task](../best-time-to-buy-and-sell-stock/task.md)
+
+Except one rather crucial Variation of this Task Type is that with this Sliding Window technique as we call it here the right and the left pointers may be looking at _the same element_ of the array. This intricacy is utilized here somewhat to get a really elegant solution
+
+__Note:__ read more about Sliding Window in [this article](../literature/sliding-window.md)
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index eeb0195..b78bb3a 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -18,6 +18,7 @@ _Tasks grouped by_ `Task Type`
 
 ### Two Pointers One Array Sliding Window
   - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
+  - [Summary Ranges](./summary-ranges/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 
 ### One Pointer One Array and One or More Counters

From 9ce903c9f55d70902c6aacab60795c8aa5df01e5 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 18 Apr 2023 17:38:37 +0300
Subject: [PATCH 031/110] create swap colors task

---
 task-archieve/README.md                 |  1 +
 task-archieve/sort-colors/solution-2.js | 26 ++++++++
 task-archieve/sort-colors/solution.js   | 42 +++++++++++++
 task-archieve/sort-colors/task.md       | 79 +++++++++++++++++++++++++
 task-archieve/task-type.md              |  1 +
 5 files changed, 149 insertions(+)
 create mode 100644 task-archieve/sort-colors/solution-2.js
 create mode 100644 task-archieve/sort-colors/solution.js
 create mode 100644 task-archieve/sort-colors/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index c73fdd0..3b3a7c0 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -29,3 +29,4 @@ _List of tasks_
 - [Valid Parentheses](./valid-parentheses/task.md)
 - [Partition Labels](./partition-labels/task.md)
 - [Summary Ranges](./summary-ranges/task.md)
+- [Sort Colors](./sort-colors/task.md)
diff --git a/task-archieve/sort-colors/solution-2.js b/task-archieve/sort-colors/solution-2.js
new file mode 100644
index 0000000..d539eea
--- /dev/null
+++ b/task-archieve/sort-colors/solution-2.js
@@ -0,0 +1,26 @@
+/* Dutch National Flag algorithm */
+
+function sortColors(nums) {
+    let s = 0;
+    let e = nums.length - 1;
+    let mid = 0;
+
+    while (mid <= e) {
+        if (nums[mid] === 0) {
+            ([nums[mid], nums[s]] = [nums[s], nums[mid]]);
+            mid++;
+            s++;
+        } else if (nums[mid] === 1) {
+            mid++;
+        } else {
+            ([nums[mid], nums[e]] = [nums[e], nums[mid]]);
+            e--;
+        }
+    }
+
+    return nums;
+}
+
+console.log(
+    sortColors([2,0,2,1,1,0])
+);
diff --git a/task-archieve/sort-colors/solution.js b/task-archieve/sort-colors/solution.js
new file mode 100644
index 0000000..0e7f8c0
--- /dev/null
+++ b/task-archieve/sort-colors/solution.js
@@ -0,0 +1,42 @@
+function sortColors(nums) {
+    let numOfZeros = 0;
+    let numOfOnes = 0;
+    let numOfTwos = 0;
+
+    for (const num of nums) {
+        if (num === 0) {
+            numOfZeros++;
+        }
+
+        if (num === 1) {
+            numOfOnes++;
+        }
+
+        if (num === 2) {
+            numOfTwos++;
+        }
+    }
+
+    let i = 0;
+
+    while (i < nums.length) {
+        if (numOfZeros > 0) {
+            nums[i] = 0;
+            numOfZeros--;
+        } else if (numOfOnes > 0) {
+            nums[i] = 1;
+            numOfOnes--;
+        } else if (numOfTwos) {
+            nums[i] = 2;
+            numOfTwos--;
+        }
+
+        i++;
+    }
+
+    return nums;
+}
+
+console.log(
+    sortColors([2,0,2,1,1,0])
+);
diff --git a/task-archieve/sort-colors/task.md b/task-archieve/sort-colors/task.md
new file mode 100644
index 0000000..692fcec
--- /dev/null
+++ b/task-archieve/sort-colors/task.md
@@ -0,0 +1,79 @@
+# Sort Colors
+
+Given an array `nums` with `n` objects colored red, white, or blue, sort them _in-place_ so that objects of the same color are adjacent, with the colors in the order red, white, and blue
+
+We will use the integers `0`, `1` and `2` to represent the color red, white, and blue, respectively
+
+You must solve this problem without using the library's `sort` function
+
+__Example 1:__
+
+```
+Input: nums = [2,0,2,1,1,0]
+Output: [0,0,1,1,2,2]
+```
+
+__Example 2:__
+
+```
+Input: nums = [2,0,1]
+Output: [0,1,2]
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+This is a Task Type for in-place swap and overwrite of the array. We have already seen an example where we need to do in-place _swap_ [here](../sort-letters-two-arrays/task.md) and an example where we need to do in-place _overwrite_ [here](../remove-duplicates-v2/task.md)
+
+The beauty of this task is that it can be solved _both_ ways either by _swapping_ elements or _overwriting_ elements of the array
+
+The solution that entails overwriting is less optimized than the swapping type of solution but the swapping type of solution is less obvious because it uses the "Dutch National Flag" algorithm
+
+You can find the overwriting type of solution in the __Hint 1__ and the swapping type of solution in the __Hint 2__
+
+</details>
+
+<details>
+
+<summary>Hint 1</summary>
+
+The solution that entails overwriting elements of the array is a two-pass algorithm using counting sort
+
+Iterate the array counting number of `0`s, `1`s, and `2`s
+
+Overwrite the array with the _total_ number of `0`s, then `1`s and followed by `2`s
+
+</details>
+
+<details>
+
+<summary>Hint 2</summary>
+
+The solution that entails swapping elements of the array is a famous Dutch National Flag alogrithm. The Dutch National Flag algorithm is a sorting algorithm that partitions an array containing elements of three distinct values (for example, `0`s, `1`s, and `2`s) into three parts, in a single traversal of the array. The algorithm is named after the Dutch national flag, which has three horizontal stripes of red, white, and blue
+
+The algorithm uses three pointers (let's call them `s`, `e` and `n` respectively) to partition the array into three sections:
+
+1. `A[0...s-1]` contains all elements that are smaller than the middle value (in the example above, the `0`s)
+
+2. `A[s...e]` contains all elements that are equal to the middle value (in the example above, the `1`s)
+
+3. `A[e+1...n-1]` contains all elements that are larger than the middle value (in the example above, the `2`s)
+
+Initially, the pointer `s` points to the beginning of the array, and the pointer `e` points to the end of the array. A third pointer, `i`, starts at the beginning of the array and moves forward one element at a time
+
+The algorithm continues until the `i` pointer reaches the end of the array. If the element at `A[i]` is smaller than the middle value, it is swapped with the element at `A[s]`, and both pointers `i` and `s` are incremented. If the element at `A[i]` is larger than the middle value, it is swapped with the element at `A[e]`, and the pointer `e` is decremented. If the element at `A[i]` is equal to the middle value, the pointer `i` is incremented
+
+This algorithm works because, at any point in time during the while loop, the following invariants hold true:
+
+1. All elements before `s` are smaller than the middle value
+2. All elements after `e` are larger than the middle value
+3. All elements between `s` and `i-1` are equal to the middle value
+4. All elements between `i` and `e` are unprocessed
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index b78bb3a..7f4281f 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -43,6 +43,7 @@ _Tasks grouped by_ `Task Type`
 ### In-Place Swap and Overwrite
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
   - [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)
+  - [Sort Colors](./sort-colors/task.md)
 
 ### Matrix
   - [Sort the Matrix diagonally](./matrix-diagonal-sort/task.md)

From aa17fe529378a51d93e3dee9c21b9511d8782f58 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 20 Apr 2023 15:34:33 +0300
Subject: [PATCH 032/110] create digits combinations task

---
 task-archieve/README.md                       |   1 +
 task-archieve/flatten-nonrecursive-v2/task.md |   2 +-
 .../letter-combinations-queue.gif             | Bin 0 -> 5999350 bytes
 .../solution.js                               |  46 ++++++++++++
 .../task.md                                   |  71 ++++++++++++++++++
 .../solution-2.js                             |  44 +++++++++++
 .../solution.js                               |  44 +++++++++++
 .../task.md                                   |  66 ++++++++++++++++
 .../telephone-keypad.png                      | Bin 0 -> 310876 bytes
 task-archieve/task-type.md                    |   6 +-
 10 files changed, 277 insertions(+), 3 deletions(-)
 create mode 100644 task-archieve/letter-combinations-of-a-phone-number-copy/letter-combinations-queue.gif
 create mode 100644 task-archieve/letter-combinations-of-a-phone-number-copy/solution.js
 create mode 100644 task-archieve/letter-combinations-of-a-phone-number-copy/task.md
 create mode 100644 task-archieve/letter-combinations-of-a-phone-number/solution-2.js
 create mode 100644 task-archieve/letter-combinations-of-a-phone-number/solution.js
 create mode 100644 task-archieve/letter-combinations-of-a-phone-number/task.md
 create mode 100644 task-archieve/letter-combinations-of-a-phone-number/telephone-keypad.png

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 3b3a7c0..7542bf6 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -30,3 +30,4 @@ _List of tasks_
 - [Partition Labels](./partition-labels/task.md)
 - [Summary Ranges](./summary-ranges/task.md)
 - [Sort Colors](./sort-colors/task.md)
+- [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)
diff --git a/task-archieve/flatten-nonrecursive-v2/task.md b/task-archieve/flatten-nonrecursive-v2/task.md
index 791a3b7..56eb379 100644
--- a/task-archieve/flatten-nonrecursive-v2/task.md
+++ b/task-archieve/flatten-nonrecursive-v2/task.md
@@ -18,7 +18,7 @@ Also you cannot use recursion because an array can be very big and nested very d
 
 You can achieve the non-recursive solution by using a simple "stack and while loop" technique but at least one way of solving this means pushing elements into the stack in reverse order
 
-__Note:__ the same techique of using a stack or a queue and a while loop was used to perform the depth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L113) or [here](../../corejs-codejam/task/07-yield-tasks.js#L147) (alternatively [here](../../snippets/Data%20Structures/binary-search-tree.js#L222))
+__Note:__ the same techique of using a stack or a queue and a while loop was used to perform the depth-first search or breadth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L113) or [here](../../corejs-codejam/task/07-yield-tasks.js#L147) (alternatively [here](../../snippets/Data%20Structures/binary-search-tree.js#L222))
 
 </details>
 
diff --git a/task-archieve/letter-combinations-of-a-phone-number-copy/letter-combinations-queue.gif b/task-archieve/letter-combinations-of-a-phone-number-copy/letter-combinations-queue.gif
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diff --git a/task-archieve/letter-combinations-of-a-phone-number-copy/solution.js b/task-archieve/letter-combinations-of-a-phone-number-copy/solution.js
new file mode 100644
index 0000000..237edc7
--- /dev/null
+++ b/task-archieve/letter-combinations-of-a-phone-number-copy/solution.js
@@ -0,0 +1,46 @@
+/* while loop and queue */
+
+function letterCombinations(digits) {
+    let queue = [''];
+    let i = 0;
+
+    if (digits === '') {
+        return [];
+    }
+
+    while (i < digits.length) {
+        const letters = lookup(digits[i]);
+        const currentQueue = [];
+
+        while (queue.length > 0) {
+            const prefix = queue.shift();
+
+            for (const letter of letters) {
+                currentQueue.push(prefix + letter);
+            }
+        }
+
+        queue = currentQueue;
+        i++;
+    }
+
+    return queue;
+}
+
+const digitsMap = ['abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs', 'tuv', 'wxyz'];
+
+function lookup(digit) {
+    return digitsMap[Number(digit) - 2]; // "1" does not map to any letters
+}
+
+console.log(
+    letterCombinations('2')
+);
+
+console.log(
+    letterCombinations('23')
+);
+
+console.log(
+    letterCombinations('234')
+);
diff --git a/task-archieve/letter-combinations-of-a-phone-number-copy/task.md b/task-archieve/letter-combinations-of-a-phone-number-copy/task.md
new file mode 100644
index 0000000..07a2526
--- /dev/null
+++ b/task-archieve/letter-combinations-of-a-phone-number-copy/task.md
@@ -0,0 +1,71 @@
+# Letter Combinations of a Phone Number
+
+Given a string containing digits from `2-9` inclusive, return all possible letter combinations that the number could represent. Return the answer in __any order__
+
+A mapping of digits to letters (just like on the telephone buttons) is given below. Note that `1` does not map to any letters
+
+<img src=../letter-combinations-of-a-phone-number/telephone-keypad.png width=300 />
+
+__Example 1:__
+
+```
+Input: digits = "23"
+Output: ["ad","ae","af","bd","be","bf","cd","ce","cf"]
+```
+
+__Example 2:__
+
+```
+Input: digits = ""
+Output: []
+```
+
+__Example 3:__
+
+```
+Input: digits = "2"
+Output: ["a","b","c"]
+```
+
+__Example 4:__
+
+```
+Input: digits = "234"
+Output:
+[
+  "adg", "adh", "adi", "aeg",
+  "aeh", "aei", "afg", "afh",
+  "afi", "bdg", "bdh", "bdi",
+  "beg", "beh", "bei", "bfg",
+  "bfh", "bfi", "cdg", "cdh",
+  "cdi", "ceg", "ceh", "cei",
+  "cfg", "cfh", "cfi"
+]
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+We can solve this task using a Queue and a while loop though it is not obvious at first
+
+__Note:__ the techique of using a queue and a while loop was used to perform the breadth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L147) or [here](../../snippets/Data%20Structures/binary-search-tree.js#L222)
+
+__Note:__ this task can also be solved using the more obvious approach for this kind of task using __*Depth-first Search of Array*__ or __*Breadth-first Search of Array*__, see [this copy](../letter-combinations-of-a-phone-number/task.md) of this task for more on that
+
+</details>
+
+<details>
+
+<summary>Hint</summary>
+
+Here is a visual representation of the algorithm
+
+<img src=./letter-combinations-queue.gif width=400 />
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/letter-combinations-of-a-phone-number/solution-2.js b/task-archieve/letter-combinations-of-a-phone-number/solution-2.js
new file mode 100644
index 0000000..4ed2e46
--- /dev/null
+++ b/task-archieve/letter-combinations-of-a-phone-number/solution-2.js
@@ -0,0 +1,44 @@
+/* breadth first search */
+
+function letterCombinations(digits) {
+    let res = [];
+
+    if (digits.length === 0) {
+        return res;
+    }
+
+    res.push('');
+
+    for (const digit of digits) {
+        const currentLetters = lookup(digit);
+        let newRes = [];
+
+        for (const prefix of res) {
+            for (const currentLetter of currentLetters) {
+                newRes.push(prefix + currentLetter);
+            }
+        }
+
+        res = newRes;
+    }
+
+    return res;
+}
+
+const digitsMap = ['abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs', 'tuv', 'wxyz'];
+
+function lookup(digit) {
+    return digitsMap[Number(digit) - 2]; // "1" does not map to any letters
+}
+
+console.log(
+    letterCombinations('2')
+);
+
+console.log(
+    letterCombinations('23')
+);
+
+console.log(
+    letterCombinations('234')
+);
diff --git a/task-archieve/letter-combinations-of-a-phone-number/solution.js b/task-archieve/letter-combinations-of-a-phone-number/solution.js
new file mode 100644
index 0000000..63de955
--- /dev/null
+++ b/task-archieve/letter-combinations-of-a-phone-number/solution.js
@@ -0,0 +1,44 @@
+/* depth first search */
+
+function letterCombinations(digits) {
+    const result = [];
+
+    if (digits.length === 0) {
+        return [];
+    }
+
+    function backtrack(prefix, currentDigitIndex) {
+        if (currentDigitIndex === digits.length) {
+            result.push(prefix);
+            return;
+        }
+
+        const letters = lookup(digits[currentDigitIndex]);
+
+        for (const letter of letters) {
+            backtrack(prefix + letter, currentDigitIndex + 1);
+        }
+    }
+
+    backtrack('', 0);
+
+    return result;
+}
+
+const digitsMap = ['abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs', 'tuv', 'wxyz'];
+
+function lookup(digit) {
+    return digitsMap[Number(digit) - 2]; // "1" does not map to any letters
+}
+
+console.log(
+    letterCombinations('2')
+);
+
+console.log(
+    letterCombinations('23')
+);
+
+console.log(
+    letterCombinations('234')
+);
diff --git a/task-archieve/letter-combinations-of-a-phone-number/task.md b/task-archieve/letter-combinations-of-a-phone-number/task.md
new file mode 100644
index 0000000..96502dc
--- /dev/null
+++ b/task-archieve/letter-combinations-of-a-phone-number/task.md
@@ -0,0 +1,66 @@
+# Letter Combinations of a Phone Number
+
+Given a string containing digits from `2-9` inclusive, return all possible letter combinations that the number could represent. Return the answer in __any order__
+
+A mapping of digits to letters (just like on the telephone buttons) is given below. Note that `1` does not map to any letters
+
+<img src=./telephone-keypad.png width=300 />
+
+__Example 1:__
+
+```
+Input: digits = "23"
+Output: ["ad","ae","af","bd","be","bf","cd","ce","cf"]
+```
+
+__Example 2:__
+
+```
+Input: digits = ""
+Output: []
+```
+
+__Example 3:__
+
+```
+Input: digits = "2"
+Output: ["a","b","c"]
+```
+
+__Example 4:__
+
+```
+Input: digits = "234"
+Output:
+[
+  "adg", "adh", "adi", "aeg",
+  "aeh", "aei", "afg", "afh",
+  "afi", "bdg", "bdh", "bdi",
+  "beg", "beh", "bei", "bfg",
+  "bfh", "bfi", "cdg", "cdh",
+  "cdi", "ceg", "ceh", "cei",
+  "cfg", "cfh", "cfi"
+]
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+We can solve this task using __*Depth-first Search of Array*__ (solution 1) exactly in the same way as [Combinations task](../combinations/task.md)
+
+The point of this task is that it can also be solved using the __*Breadth-first Search of Array*__ (solution 2). It works in this way:
+1. At the beginning, it is an empty string
+2. The new layer is obtained by adding characters at the end of the previous layer
+3. After the new layer is obtained, the previous layer is not used
+
+It is probably best to see the actual [solution 2](./solution-2.js) to understand exactly how it works
+
+__Note:__ this task can also be solved using a Queue and a while loop, see [this copy](../letter-combinations-of-a-phone-number-copy/task.md) of this task for how to solve this task if we treat it as "While Loop and Stack or Queue" Task Type
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
diff --git a/task-archieve/letter-combinations-of-a-phone-number/telephone-keypad.png b/task-archieve/letter-combinations-of-a-phone-number/telephone-keypad.png
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 7f4281f..8bc1285 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -37,8 +37,9 @@ _Tasks grouped by_ `Task Type`
 ### Array Relation of Indexes and Values or Indexes to Values
   - [Zigzag Conversion](./zigzag-conversion/task.md)
 
-### While Loop and Stack
+### While Loop and Stack or Queue
   - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
+  - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number-copy/task.md)
 
 ### In-Place Swap and Overwrite
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
@@ -59,5 +60,6 @@ _Tasks grouped by_ `Task Type`
   - [Word Search](./word-search/task.md)
   - [Sudoku Solver](../cheatsheet/sudoku.js)
 
-### Backtracking Depth-first Search of Array
+### Backtracking
   - [Combinations](./combinations/task.md)
+  - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)

From 7060b73d010d9b15712e0c2a570fc05a5288ff18 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 20 Apr 2023 15:46:31 +0300
Subject: [PATCH 033/110] fix a little typo in task description

---
 .../letter-combinations-of-a-phone-number-copy/task.md          | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/letter-combinations-of-a-phone-number-copy/task.md b/task-archieve/letter-combinations-of-a-phone-number-copy/task.md
index 07a2526..425ffa7 100644
--- a/task-archieve/letter-combinations-of-a-phone-number-copy/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number-copy/task.md
@@ -47,7 +47,7 @@ Output:
 
 <summary>Task Type</summary>
 
-We can solve this task using a Queue and a while loop though it is not obvious at first
+We can solve this task using a queue and a while loop though it is not obvious at first
 
 __Note:__ the techique of using a queue and a while loop was used to perform the breadth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L147) or [here](../../snippets/Data%20Structures/binary-search-tree.js#L222)
 

From 7c1cf8e0ae5f1922e4a18ab6392f185cd5940c07 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 20 Apr 2023 17:44:49 +0300
Subject: [PATCH 034/110] Write extra-documentaion

---
 task-archieve/extra-documentation.md | 48 ++++++++++++++++++++++++++++
 1 file changed, 48 insertions(+)

diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
index 579d4bd..34359af 100644
--- a/task-archieve/extra-documentation.md
+++ b/task-archieve/extra-documentation.md
@@ -1 +1,49 @@
 # Extra Documentation of Task Archieve
+
+The Task Archieve MyCodewars Project groups algorithms tasks by the common approaches used for solving them and teaches the reader to find the right one of the known approaches and apply it to solve any task at all based on the preception that any known task can be generalized and abstracted away to represent one of the known general approaches that can be used when solving an algorithmic problem
+
+Any common approach that can be used to solve any task is termed as "Task Type" within The Task Archieve Project. For example there is a Task Type where we use two pointers to iterate an array and solve the problem or there is also a Task Type where we use a HashMap (and there are quite a few tasks that can be solved using a HashMap) and so on
+
+On the [front page](./README.md) you can find a list of tasks in the chronological order but by clicking the "_scroll_" ( [:scroll:](./task-type.md) ) icon in the header you may toggle the representation of the tasks menu to the representation where all the tasks are grouped by a specific approach that can be used for solving numerous tasks (or Task Type as it is called here). From this point forward we are going to discuss the structure of this latter "grouped by Task Type" representation
+
+Naturally the first task under any particular Task Type header is going to introduce the reader to the Task Type in question with a detailed description thereof while all the further tasks directly under it build upon previous knowledge. For example the ["Best Time to Buy and Sell Stock"](./best-time-to-buy-and-sell-stock/task.md) task introduces the reader to the "Sliding Window" Task Type going in detail about this approach whereas the ["Summary Ranges"](./summary-ranges/task.md) task is situated right under the "Best Time to Buy and Sell Stock" task and assumes the previous knowledge of the Task Type learned while solving the "Best Time to Buy and Sell Stock" task
+
+While the first task in the list under a specific Task Type in the menu, as we said, introduces the reader to the Task Type, all the further tasks that are a part of the list under the same Task Type introduce the reader to the different "_Variations_" that any given Task Type may have
+
+Variations are different perhaps somewhat not obvious ways that a Task Type can be applied. For example if we look at the Task Type which entails using two pointers to iterate an array (and thus solve the task) then the 2 possible Variations of the Two Pointers One Array Task Type are going to be: first a Variation where the first pointer moves from start to end and the second pointer moves from end to start and the second Variation is going to be where both of the two pointers move in the same direction
+
+If any given task can be solved using the same Variation of the Task Type as we have already encounterd then such a task will not be found on the main menu page where we see tasks grouped by Task Type though such a task can be found in the "Similar Tasks" spoiler of the task that it is derived from or on the front page where you can find a list of tasks in the chronological order. Feel free to solve as many "Similar Tasks" as you wish after learning a certain Task Type (or its Variation) to get a solid grasp on the newly learnt concept
+
+Therefore the structure of the main menu page where we see tasks grouped by Task Type can be represented as:
+
+```
+- Task Type
+  - Task
+    * Variation of the Task Type
+    * links to Similar Tasks
+```
+
+We have looked at the core entities that make up the Task Archieve philosophy and knowledge base
+- "Task" is simply an algorithms problem or challenge that you need to solve
+- "Task Type" is a general approach that can be employed to solve a Task
+- "Variation" is the not too extreme and perhaps not very obvious tweak that we can make to the general Task Type approach to code a solution of the Task
+
+The rest is simple: learn all the different Task Types, study them, remember them and solidify your knowledge of all the different Task Types and their Variations by studying Tasks and solving Similar Tasks and finally apply all this knowledge and see yourself cracking some of the hardest algorithmic problems with ease and grace
+
+## Bonus
+
+### When you can't solve something
+
+One should never worry regarding the matter or suffer any other kindred bluders so characteristic of a studious mind
+
+If one is stuck at the problem for more than 5 to 10 minutes the best approach to resolving this situation is to search for the solution on the Internet (or someplace more adjacent) and start studying the solution instead of trying in vain to reinvent the wheel
+
+### General algorithm to find a solution
+
+When looking for a solution to an algorithmic problem follow this flow: first determine which Task Type the problem _might_ be, then which Variation of the Task Type you may need to employ and sooner or later the solution will come up
+
+### During a Code Interview
+
+One should first determine the Task Type and the Variation thereof if possible. Once that is accomplished one should write pseudo-code to see if the chosen Task Type and Variation accomplishes the task and discuss it with the interviewer or ask for Hints if necessary. And only after that shall one start writing the actual code for solving the algorithmic problem in question
+
+Oh, and one more thing: stay calm and happy!

From 76dc1390a04bac17350ff3e61a13f63dca0ce41c Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 20 Apr 2023 20:20:55 +0300
Subject: [PATCH 035/110] append a note to queue combinations task

---
 .../letter-combinations-of-a-phone-number-copy/task.md          | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/task-archieve/letter-combinations-of-a-phone-number-copy/task.md b/task-archieve/letter-combinations-of-a-phone-number-copy/task.md
index 425ffa7..f4cf63a 100644
--- a/task-archieve/letter-combinations-of-a-phone-number-copy/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number-copy/task.md
@@ -53,6 +53,8 @@ __Note:__ the techique of using a queue and a while loop was used to perform the
 
 __Note:__ this task can also be solved using the more obvious approach for this kind of task using __*Depth-first Search of Array*__ or __*Breadth-first Search of Array*__, see [this copy](../letter-combinations-of-a-phone-number/task.md) of this task for more on that
 
+__Note:__ this solution using a queue is actually not so much of a queue type of solution but rather __*Breadth-first Search of Array*__ algorithm implemented using a queue. However this is also a nice use case for a queue
+
 </details>
 
 <details>

From 9d1e2ac830f35453b386830b1f78e45210ddcd13 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 28 Apr 2023 22:02:50 +0300
Subject: [PATCH 036/110] create sorted number task

---
 task-archieve/README.md                       |  2 +
 task-archieve/extra-documentation.md          |  2 +-
 .../missing-number-sorted-array/solution.js   | 14 +++++
 .../missing-number-sorted-array/task.md       | 42 +++++++++++++
 task-archieve/missing-number/solution.js      | 14 +++++
 task-archieve/missing-number/task.md          | 63 +++++++++++++++++++
 task-archieve/single-number/task.md           |  4 +-
 task-archieve/task-type.md                    | 10 +--
 8 files changed, 144 insertions(+), 7 deletions(-)
 create mode 100644 task-archieve/missing-number-sorted-array/solution.js
 create mode 100644 task-archieve/missing-number-sorted-array/task.md
 create mode 100644 task-archieve/missing-number/solution.js
 create mode 100644 task-archieve/missing-number/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 7542bf6..81f4dcd 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -31,3 +31,5 @@ _List of tasks_
 - [Summary Ranges](./summary-ranges/task.md)
 - [Sort Colors](./sort-colors/task.md)
 - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)
+- [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
+- [Missing Number](./missing-number/task.md)
diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
index 34359af..d941f20 100644
--- a/task-archieve/extra-documentation.md
+++ b/task-archieve/extra-documentation.md
@@ -1,6 +1,6 @@
 # Extra Documentation of Task Archieve
 
-The Task Archieve MyCodewars Project groups algorithms tasks by the common approaches used for solving them and teaches the reader to find the right one of the known approaches and apply it to solve any task at all based on the preception that any known task can be generalized and abstracted away to represent one of the known general approaches that can be used when solving an algorithmic problem
+The Task Archieve MyCodewars Project groups algorithms tasks by the common approaches used for solving them and teaches the reader to find the right one of the known approaches and apply it to solve any task at all based on the preception that any known task can be generalized and abstracted away to represent one of the known general approaches that can be used when solving an algorithmic problem. So the Task Archieve is sort of a way of building neuron links in your brain
 
 Any common approach that can be used to solve any task is termed as "Task Type" within The Task Archieve Project. For example there is a Task Type where we use two pointers to iterate an array and solve the problem or there is also a Task Type where we use a HashMap (and there are quite a few tasks that can be solved using a HashMap) and so on
 
diff --git a/task-archieve/missing-number-sorted-array/solution.js b/task-archieve/missing-number-sorted-array/solution.js
new file mode 100644
index 0000000..575ec38
--- /dev/null
+++ b/task-archieve/missing-number-sorted-array/solution.js
@@ -0,0 +1,14 @@
+function missingNumber(sortedNums) {
+
+    const len = sortedNums.length;
+
+    for (let i = 0; i < len; i++) {
+        const value = sortedNums[i];
+
+        if (value !== i) {
+            return i;
+        }
+    }
+
+    return len;
+}
diff --git a/task-archieve/missing-number-sorted-array/task.md b/task-archieve/missing-number-sorted-array/task.md
new file mode 100644
index 0000000..dec5481
--- /dev/null
+++ b/task-archieve/missing-number-sorted-array/task.md
@@ -0,0 +1,42 @@
+# Missing Number in Sorted Array
+
+Given a __sorted__ array `nums` containing `n` distinct numbers in the range `[0, n]`, return _the only number in the range that is missing from the array_
+
+__Example 1:__
+
+```
+Input: nums = [0,1,3]
+Output: 2
+Explanation: n = 3 since there are 3 numbers, so all numbers are in the range [0,3]. 2 is the missing number in the range since it does not appear in nums
+```
+
+__Example 2:__
+
+```
+Input: nums = [0,1]
+Output: 2
+Explanation: n = 2 since there are 2 numbers, so all numbers are in the range [0,2]. 2 is the missing number in the range since it does not appear in nums
+```
+
+__Example 3:__
+
+```
+Input: nums = [0,1,2,3,4,5,6,7,9]
+Output: 8
+Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0,9]. 8 is the missing number in the range since it does not appear in nums
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+This is a classic task where you need to look at and analyze the _relation_ between the indexes of the array, or the _relation_ between the values of the array, or the _relation_ of the indexes to the values of the array
+
+To solve this particular task you should merely see the _relation_ of the indexes to the values of the array in that each value in the array should be _equal_ to its index and if it is not then the index of the value is the missing number!
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/missing-number/solution.js b/task-archieve/missing-number/solution.js
new file mode 100644
index 0000000..93ac372
--- /dev/null
+++ b/task-archieve/missing-number/solution.js
@@ -0,0 +1,14 @@
+function missingNumber(nums) {
+    const len = nums.length;
+    let counter = 0;
+
+    for (let i = 0; i < len; i++) {
+        counter ^= nums[i];
+    }
+
+    for (let i = 0; i <= len; i++) {
+        counter ^= i;
+    }
+
+    return counter;
+}
diff --git a/task-archieve/missing-number/task.md b/task-archieve/missing-number/task.md
new file mode 100644
index 0000000..5c59159
--- /dev/null
+++ b/task-archieve/missing-number/task.md
@@ -0,0 +1,63 @@
+# Missing Number
+
+Given an __unsorted__ array `nums` containing `n` distinct numbers in the range `[0, n]`, return _the only number in the range that is missing from the array_
+
+__Example 1:__
+
+```
+Input: nums = [3,0,1]
+Output: 2
+Explanation: n = 3 since there are 3 numbers, so all numbers are in the range [0,3]. 2 is the missing number in the range since it does not appear in nums
+```
+
+__Example 2:__
+
+```
+Input: nums = [0,1]
+Output: 2
+Explanation: n = 2 since there are 2 numbers, so all numbers are in the range [0,2]. 2 is the missing number in the range since it does not appear in nums
+```
+
+__Example 3:__
+
+```
+Input: nums = [9,6,4,2,3,5,7,0,1]
+Output: 8
+Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0,9]. 8 is the missing number in the range since it does not appear in nums
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+We can assume this task to be a "One Pointer One Array and HashMap" Task Type and solve it this way using a HashMap:
+
+```js
+function missingNumber(nums) {
+  const len = nums.length;
+  const hashMap = {};
+
+  for (const num of nums) {
+    hashMap[num] = true;
+  }
+
+  for (let i = 0; i < len; i++) {
+    if (!hashMap[i]) {
+      return i;
+    }
+  }
+
+  return len;
+}
+```
+
+But we can solve it even more effectively if we treat it as "Array Math Operation on All Elements" Task Type and apply XOR operation for all the elements of the array similar to [that task](../single-number/task.md) (we XOR `0` by all the elements of the array and save the result to some _counter_). However for this particular task you may need to apply the Math Operation (in our case XOR) _twice_: first for all the elements of the array, then to the same _counter_ for all the elements that _should be_ in the array (similar to the HashMap solution above)
+
+__Note:__ this task can also be solved not only by doing a XOR for all the elements of the array but also by applying a Math formula for all the elements of the array. You can find this solution [here](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array)
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
index ebdf359..735c8dc 100644
--- a/task-archieve/single-number/task.md
+++ b/task-archieve/single-number/task.md
@@ -1,6 +1,6 @@
 # Single Number
 
-Given a non-empty array of integers `nums`, every element appears twice except for one. Find that missing number
+Given a non-empty _unsorted_ array of integers `nums`, every element appears twice except for one. Find that missing number
 
 You must implement a solution with a linear runtime complexity and use only constant extra space
 
@@ -30,7 +30,7 @@ But this HashMap approach uses `O(n)` extra memory. We can optimize it if we tre
 
 "Array Math Operation on All Elements" Task Type is the type of task where we do some Math operation on all elements of the array and the result of this operation on all the elements is the result of solving the task. For example we saw the [Find a Missing Number in an Unsorted Array](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array) task earlier. In order to solve that task we summed all the elements of the array and then extracted the sum we got from the sum we wanted and were thus able to find the missing element using constant `O(1)` extra memory
 
-Let's see how we can use the "Array Math Operation on All Elements" approach to solve this task. Xor of any two numbers gives the difference of bits as `1` and the same bits as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits. In order to find the missing element we simply need to xor all the elements of the array.
+Let's see how we can use the "Array Math Operation on All Elements" approach to solve this task. XOR of any two numbers gives the difference of bits as `1` and the same bits as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits. In order to find the missing element we simply need to XOR all the elements of the array
 
 This way we will always get the single missing element because all the same numbers will evaluate to `0` and `0 ^ missing_number = missing_number`
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 8bc1285..838f44c 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -31,16 +31,18 @@ _Tasks grouped by_ `Task Type`
 ### One Pointer One Array and Stack
   - [Valid Parentheses](./valid-parentheses/task.md)
 
-### Array Math Operation on All Elements
-  - [Single Number](./single-number/task.md)
-
-### Array Relation of Indexes and Values or Indexes to Values
+### Array Relation of Indexes or Values or Indexes to Values
+  - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
   - [Zigzag Conversion](./zigzag-conversion/task.md)
 
 ### While Loop and Stack or Queue
   - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
   - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number-copy/task.md)
 
+### Array Math Operation on All Elements
+  - [Single Number](./single-number/task.md)
+  - [Missing Number](./missing-number/task.md)
+
 ### In-Place Swap and Overwrite
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
   - [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)

From c25096e5d29aab1098366f9f32d6720db48ce5ff Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 4 May 2023 22:39:49 +0300
Subject: [PATCH 037/110] create task type summary

---
 task-archieve/extra-documentation.md | 45 ++++++++++++++++++++++++++++
 task-archieve/task-type.md           |  8 ++---
 2 files changed, 49 insertions(+), 4 deletions(-)

diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
index d941f20..da38df6 100644
--- a/task-archieve/extra-documentation.md
+++ b/task-archieve/extra-documentation.md
@@ -42,6 +42,51 @@ If one is stuck at the problem for more than 5 to 10 minutes the best approach t
 
 When looking for a solution to an algorithmic problem follow this flow: first determine which Task Type the problem _might_ be, then which Variation of the Task Type you may need to employ and sooner or later the solution will come up
 
+### Task Type Summary
+
+- **_One Pointer One Array_**
+  1. Iterate an array
+- **_Two Pointers Two Arrays_**
+  1. Two pointers of two arrays increase like in Merge Sort
+- **_Two Pointers One Array_**
+  1. Two pointers go from start and end until some condition
+  2. **_Sliding Window_**
+      1. Right is always ahead of left
+      2. Right is ahead of left but they meet sometimes
+- **_One Pointer One Array and One or More Counters_**
+  1. Iterate an array keeping one or more counters
+- **_One Pointer One Array and HashMap_**
+  1. Create and use one or more HashMaps as you iterate an array
+  2. Create one or more HashMaps and iterate it (them) in some way
+  3. Create one or more HashMaps and iterate an array using it (them)
+- **_One Pointer One Array and Stack_**
+  1. Create and use one or more Stacks as you iterate an array
+- **_While Loop and Stack or Queue_**
+  1. Do while loop while stack is not empty popping and pushing along the way
+  2. Do while loop while queue is not empty queueing and dequeueing along the way
+- **_Array Relation of Indexes or Values or Indexes to Values_**
+  1. Find the relation between the indexes of the array
+  2. Find the relation between the values of the array
+  3. Find the relation of the indexes to values of the array
+- **_Array Math Operation on All Elements_**
+  1. Do math or bitwise operation on all the elements of array
+  2. Do math or bitwise operation first on all the elements of array and then to the same counter on all the elements that should be in array
+- **_In-Place Swap and Overwrite_**
+  1. Sort elements of one or more arrays
+  2. Overwrite elements of one or more arrays
+- **_Matrix_**
+  1. Iterate a matrix
+- **_Numbers Math_**
+  1. Use Prime Numbers
+- **_Fibonacci Sequence_**
+  1. Use Fibonacci Sequence
+- **_Check if Puzzle is Solvable_**
+  1. Call the function recursively and see if it solves the puzzle
+- **_Backtracking_**
+  1. Call the function recursively taking out each element out of the array per iteration
+  2. Do Depth-first Search of Array
+  3. Do Breadth-first Search of Array
+
 ### During a Code Interview
 
 One should first determine the Task Type and the Variation thereof if possible. Once that is accomplished one should write pseudo-code to see if the chosen Task Type and Variation accomplishes the task and discuss it with the interviewer or ask for Hints if necessary. And only after that shall one start writing the actual code for solving the algorithmic problem in question
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 838f44c..6eae9da 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -31,14 +31,14 @@ _Tasks grouped by_ `Task Type`
 ### One Pointer One Array and Stack
   - [Valid Parentheses](./valid-parentheses/task.md)
 
-### Array Relation of Indexes or Values or Indexes to Values
-  - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
-  - [Zigzag Conversion](./zigzag-conversion/task.md)
-
 ### While Loop and Stack or Queue
   - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
   - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number-copy/task.md)
 
+### Array Relation of Indexes or Values or Indexes to Values
+  - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
+  - [Zigzag Conversion](./zigzag-conversion/task.md)
+
 ### Array Math Operation on All Elements
   - [Single Number](./single-number/task.md)
   - [Missing Number](./missing-number/task.md)

From cb215d937b3564698323c0881d3a6612dc74c38c Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 4 May 2023 22:41:55 +0300
Subject: [PATCH 038/110] fix the h2 look in task-type summary

---
 task-archieve/extra-documentation.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
index da38df6..eb8e5f5 100644
--- a/task-archieve/extra-documentation.md
+++ b/task-archieve/extra-documentation.md
@@ -50,7 +50,7 @@ When looking for a solution to an algorithmic problem follow this flow: first de
   1. Two pointers of two arrays increase like in Merge Sort
 - **_Two Pointers One Array_**
   1. Two pointers go from start and end until some condition
-  2. **_Sliding Window_**
+  2. _Sliding Window_
       1. Right is always ahead of left
       2. Right is ahead of left but they meet sometimes
 - **_One Pointer One Array and One or More Counters_**

From 366f2f5ff28dc3ff8062ac31c3a1fcfce432c0ea Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 12 Dec 2023 13:10:27 +0300
Subject: [PATCH 039/110] append the task type summary link

---
 task-archieve/task-type.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 6eae9da..7ba8ebd 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -6,6 +6,8 @@ _Tasks grouped by_ `Task Type`
 
 [:bulb: __Extra Documentation__](./extra-documentation.md)
 
+[:bulb: __Task Type Summary__](./extra-documentation.md#task-type-summary)
+
 ### One Pointer One Array
   - [Find Peak Element](./find-peak-element/task.md)
 

From 681a4134f62d824e78eec0f456e4fd9aa8db1fae Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 20 Dec 2023 18:14:55 +0300
Subject: [PATCH 040/110] little updates to the task-archieve

---
 task-archieve/README.md                       |   3 +-
 .../solution.js                               |  19 ++++
 .../task.md                                   |  48 +++++++++
 .../one-pointer-one-array/diagram-1.jpg       | Bin 0 -> 10096 bytes
 .../one-pointer-one-array/diagram-2.jpg       | Bin 0 -> 10385 bytes
 .../one-pointer-one-array/diagram-3.jpg       | Bin 0 -> 10088 bytes
 .../one-pointer-one-array/solution.js         |  25 +++++
 .../one-pointer-one-array/task.md             |  48 +++++++++
 task-archieve/extra-documentation.md          |  51 ++-------
 .../{ => backtracking}/solution-2.js          |   0
 .../{ => backtracking}/solution.js            |   0
 .../{ => backtracking}/task.md                |   6 +-
 .../{ => backtracking}/telephone-keypad.png   | Bin
 .../letter-combinations-queue.gif             | Bin
 .../solution.js                               |   0
 .../while-loop-and-stack-or-queue}/task.md    |   8 +-
 .../longest-letter-subsequence/task.md        |   6 +-
 .../missing-number-sorted-array/task.md       |   2 +-
 task-archieve/remove-duplicates-v2/task.md    |   2 +
 task-archieve/task-type-summary.md            |  98 ++++++++++++++++++
 task-archieve/task-type.md                    |  10 +-
 21 files changed, 263 insertions(+), 63 deletions(-)
 create mode 100644 task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/solution.js
 create mode 100644 task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
 create mode 100644 task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-1.jpg
 create mode 100644 task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-2.jpg
 create mode 100644 task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-3.jpg
 create mode 100644 task-archieve/distance-between-bus-stops/one-pointer-one-array/solution.js
 create mode 100644 task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
 rename task-archieve/letter-combinations-of-a-phone-number/{ => backtracking}/solution-2.js (100%)
 rename task-archieve/letter-combinations-of-a-phone-number/{ => backtracking}/solution.js (100%)
 rename task-archieve/letter-combinations-of-a-phone-number/{ => backtracking}/task.md (79%)
 rename task-archieve/letter-combinations-of-a-phone-number/{ => backtracking}/telephone-keypad.png (100%)
 rename task-archieve/{letter-combinations-of-a-phone-number-copy => letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue}/letter-combinations-queue.gif (100%)
 rename task-archieve/{letter-combinations-of-a-phone-number-copy => letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue}/solution.js (100%)
 rename task-archieve/{letter-combinations-of-a-phone-number-copy => letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue}/task.md (81%)
 create mode 100644 task-archieve/task-type-summary.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 81f4dcd..d8bf0a1 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -30,6 +30,7 @@ _List of tasks_
 - [Partition Labels](./partition-labels/task.md)
 - [Summary Ranges](./summary-ranges/task.md)
 - [Sort Colors](./sort-colors/task.md)
-- [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)
+- [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/backtracking/task.md)
 - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
 - [Missing Number](./missing-number/task.md)
+- [Distance Between Bus Stops](./distance-between-bus-stops/one-pointer-one-array/task.md)
diff --git a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/solution.js b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/solution.js
new file mode 100644
index 0000000..d63a23d
--- /dev/null
+++ b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/solution.js
@@ -0,0 +1,19 @@
+function distanceBetweenBusStops(distance, start, destination) {
+    if (start > destination) {
+        const temp = start;
+        start = destination;
+        destination = temp;
+    }
+
+    let sum = 0;
+    for (let i = start; i < destination; i++) {
+        sum += distance[i];
+    }
+
+    let totalSum = 0;
+    for (const value of distance) {
+        totalSum += value;
+    }
+
+    return Math.min(sum, totalSum - sum);
+}
diff --git a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
new file mode 100644
index 0000000..44753fa
--- /dev/null
+++ b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
@@ -0,0 +1,48 @@
+# Distance Between Bus Stops
+
+A bus has `n` stops numbered from `0` to `n - 1` that form a circle. We know the distance between all pairs of neighboring stops where `distance[i]` is the distance between the stops number `i` and `(i + 1) % n`
+
+The bus goes along both directions i.e. clockwise and counterclockwise
+
+Return the shortest distance between the given `start` and `destination` stops
+
+__Example 1:__
+
+<img src=../one-pointer-one-array/diagram-1.jpg width=300 />
+
+```
+Input: distance = [1,2,3,4], start = 0, destination = 1
+Output: 1
+Explanation: Distance between 0 and 1 is 1 or 9, minimum is 1
+```
+
+__Example 2:__
+
+<img src=../one-pointer-one-array/diagram-2.jpg width=300 />
+
+```
+Input: distance = [1,2,3,4], start = 0, destination = 2
+Output: 3
+Explanation: Distance between 0 and 2 is 3 or 7, minimum is 3
+```
+
+__Example 3:__
+
+<img src=../one-pointer-one-array/diagram-3.jpg width=300 />
+
+```
+Input: distance = [1,2,3,4], start = 0, destination = 3
+Output: 4
+Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+</details>
+
+---
+
+| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js)
+| :---: | :---: |
diff --git a/task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-1.jpg b/task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-1.jpg
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diff --git a/task-archieve/distance-between-bus-stops/one-pointer-one-array/solution.js b/task-archieve/distance-between-bus-stops/one-pointer-one-array/solution.js
new file mode 100644
index 0000000..e66f8aa
--- /dev/null
+++ b/task-archieve/distance-between-bus-stops/one-pointer-one-array/solution.js
@@ -0,0 +1,25 @@
+function distanceBetweenBusStops(distance, start, destination) {
+    let clockwise = 0;
+    let counterclockwise = 0;
+
+    let i = start;
+
+    while (i !== destination) {
+       clockwise += distance[i];
+       i = (i + 1) % distance.length;
+   }
+
+   i = start;
+
+   while (i !== destination) {
+       i -= 1;
+
+       if (i < 0) {
+           i = distance.length - 1;
+       }
+
+       counterclockwise += distance[i];
+   }
+
+   return Math.min(clockwise, counterclockwise);
+}
diff --git a/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md b/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
new file mode 100644
index 0000000..ce1bb61
--- /dev/null
+++ b/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
@@ -0,0 +1,48 @@
+# Distance Between Bus Stops
+
+A bus has `n` stops numbered from `0` to `n - 1` that form a circle. We know the distance between all pairs of neighboring stops where `distance[i]` is the distance between the stops number `i` and `(i + 1) % n`
+
+The bus goes along both directions i.e. clockwise and counterclockwise
+
+Return the shortest distance between the given `start` and `destination` stops
+
+__Example 1:__
+
+<img src=./diagram-1.jpg width=300 />
+
+```
+Input: distance = [1,2,3,4], start = 0, destination = 1
+Output: 1
+Explanation: Distance between 0 and 1 is 1 or 9, minimum is 1
+```
+
+__Example 2:__
+
+<img src=./diagram-2.jpg width=300 />
+
+```
+Input: distance = [1,2,3,4], start = 0, destination = 2
+Output: 3
+Explanation: Distance between 0 and 2 is 3 or 7, minimum is 3
+```
+
+__Example 3:__
+
+<img src=./diagram-3.jpg width=300 />
+
+```
+Input: distance = [1,2,3,4], start = 0, destination = 3
+Output: 4
+Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+</details>
+
+---
+
+| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js)
+| :---: | :---: |
diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
index eb8e5f5..b628835 100644
--- a/task-archieve/extra-documentation.md
+++ b/task-archieve/extra-documentation.md
@@ -12,7 +12,7 @@ While the first task in the list under a specific Task Type in the menu, as we s
 
 Variations are different perhaps somewhat not obvious ways that a Task Type can be applied. For example if we look at the Task Type which entails using two pointers to iterate an array (and thus solve the task) then the 2 possible Variations of the Two Pointers One Array Task Type are going to be: first a Variation where the first pointer moves from start to end and the second pointer moves from end to start and the second Variation is going to be where both of the two pointers move in the same direction
 
-If any given task can be solved using the same Variation of the Task Type as we have already encounterd then such a task will not be found on the main menu page where we see tasks grouped by Task Type though such a task can be found in the "Similar Tasks" spoiler of the task that it is derived from or on the front page where you can find a list of tasks in the chronological order. Feel free to solve as many "Similar Tasks" as you wish after learning a certain Task Type (or its Variation) to get a solid grasp on the newly learnt concept
+If any given task can be solved using the same Variation of the Task Type as we have already encounterd then such a task will not be found on the main menu page where we see tasks grouped by Task Type though such a task can be found in the "Similar Tasks" spoiler of the task that it is derived from or on the front page where you can find a list of tasks in the chronological order. Feel free to solve as many "Similar Tasks" as you wish after learning a certain Task Type (or its Variation) to get a solid grasp of the newly learnt concept
 
 Therefore the structure of the main menu page where we see tasks grouped by Task Type can be represented as:
 
@@ -28,6 +28,8 @@ We have looked at the core entities that make up the Task Archieve philosophy an
 - "Task Type" is a general approach that can be employed to solve a Task
 - "Variation" is the not too extreme and perhaps not very obvious tweak that we can make to the general Task Type approach to code a solution of the Task
 
+__Note:__ in the hardest cases different Task Types (and their Variations of course) may call to help each other in relationship many to many for the solution of a particular Task
+
 The rest is simple: learn all the different Task Types, study them, remember them and solidify your knowledge of all the different Task Types and their Variations by studying Tasks and solving Similar Tasks and finally apply all this knowledge and see yourself cracking some of the hardest algorithmic problems with ease and grace
 
 ## Bonus
@@ -42,50 +44,9 @@ If one is stuck at the problem for more than 5 to 10 minutes the best approach t
 
 When looking for a solution to an algorithmic problem follow this flow: first determine which Task Type the problem _might_ be, then which Variation of the Task Type you may need to employ and sooner or later the solution will come up
 
-### Task Type Summary
-
-- **_One Pointer One Array_**
-  1. Iterate an array
-- **_Two Pointers Two Arrays_**
-  1. Two pointers of two arrays increase like in Merge Sort
-- **_Two Pointers One Array_**
-  1. Two pointers go from start and end until some condition
-  2. _Sliding Window_
-      1. Right is always ahead of left
-      2. Right is ahead of left but they meet sometimes
-- **_One Pointer One Array and One or More Counters_**
-  1. Iterate an array keeping one or more counters
-- **_One Pointer One Array and HashMap_**
-  1. Create and use one or more HashMaps as you iterate an array
-  2. Create one or more HashMaps and iterate it (them) in some way
-  3. Create one or more HashMaps and iterate an array using it (them)
-- **_One Pointer One Array and Stack_**
-  1. Create and use one or more Stacks as you iterate an array
-- **_While Loop and Stack or Queue_**
-  1. Do while loop while stack is not empty popping and pushing along the way
-  2. Do while loop while queue is not empty queueing and dequeueing along the way
-- **_Array Relation of Indexes or Values or Indexes to Values_**
-  1. Find the relation between the indexes of the array
-  2. Find the relation between the values of the array
-  3. Find the relation of the indexes to values of the array
-- **_Array Math Operation on All Elements_**
-  1. Do math or bitwise operation on all the elements of array
-  2. Do math or bitwise operation first on all the elements of array and then to the same counter on all the elements that should be in array
-- **_In-Place Swap and Overwrite_**
-  1. Sort elements of one or more arrays
-  2. Overwrite elements of one or more arrays
-- **_Matrix_**
-  1. Iterate a matrix
-- **_Numbers Math_**
-  1. Use Prime Numbers
-- **_Fibonacci Sequence_**
-  1. Use Fibonacci Sequence
-- **_Check if Puzzle is Solvable_**
-  1. Call the function recursively and see if it solves the puzzle
-- **_Backtracking_**
-  1. Call the function recursively taking out each element out of the array per iteration
-  2. Do Depth-first Search of Array
-  3. Do Breadth-first Search of Array
+### The objective of a learner
+
+This here your task is to study. Most of the work is going to be concerned with reading and studying the solutions rather than trying to figure them out. And when you try to solve some challenge you merely observe how your mind reacts to challenges as an experiment and the ability of actually solving the challenges comes automatically as a result of this experiment but you don't concentrate on it so much as on the experiment. So it is about building the mindset of a person who can solve these challenges rather than trying to just solve these challenges because it was prudently observed by the creators of this project that in order to crack the algorithms code interview (unlike Core JS interview for example) one doesn't need to concern themselves with how to solve this particular challenge or that but rather how to build the mindset of a person who knows how to solve these challenges in general. And the same state of mind is to be applied also in the real interview because you do the best job when in this state of mind
 
 ### During a Code Interview
 
diff --git a/task-archieve/letter-combinations-of-a-phone-number/solution-2.js b/task-archieve/letter-combinations-of-a-phone-number/backtracking/solution-2.js
similarity index 100%
rename from task-archieve/letter-combinations-of-a-phone-number/solution-2.js
rename to task-archieve/letter-combinations-of-a-phone-number/backtracking/solution-2.js
diff --git a/task-archieve/letter-combinations-of-a-phone-number/solution.js b/task-archieve/letter-combinations-of-a-phone-number/backtracking/solution.js
similarity index 100%
rename from task-archieve/letter-combinations-of-a-phone-number/solution.js
rename to task-archieve/letter-combinations-of-a-phone-number/backtracking/solution.js
diff --git a/task-archieve/letter-combinations-of-a-phone-number/task.md b/task-archieve/letter-combinations-of-a-phone-number/backtracking/task.md
similarity index 79%
rename from task-archieve/letter-combinations-of-a-phone-number/task.md
rename to task-archieve/letter-combinations-of-a-phone-number/backtracking/task.md
index 96502dc..0b6c723 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number/backtracking/task.md
@@ -47,7 +47,7 @@ Output:
 
 <summary>Task Type</summary>
 
-We can solve this task using __*Depth-first Search of Array*__ (solution 1) exactly in the same way as [Combinations task](../combinations/task.md)
+We can solve this task using __*Depth-first Search of Array*__ (solution 1) exactly in the same way as [Combinations task](../../combinations/task.md)
 
 The point of this task is that it can also be solved using the __*Breadth-first Search of Array*__ (solution 2). It works in this way:
 1. At the beginning, it is an empty string
@@ -56,11 +56,11 @@ The point of this task is that it can also be solved using the __*Breadth-first
 
 It is probably best to see the actual [solution 2](./solution-2.js) to understand exactly how it works
 
-__Note:__ this task can also be solved using a Queue and a while loop, see [this copy](../letter-combinations-of-a-phone-number-copy/task.md) of this task for how to solve this task if we treat it as "While Loop and Stack or Queue" Task Type
+__Note:__ this task can also be solved using a Queue and a while loop, see [this copy](../while-loop-and-stack-or-queue/task.md) of this task for how to solve this task if we treat it as "While Loop and Stack or Queue" Task Type
 
 </details>
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/letter-combinations-of-a-phone-number/telephone-keypad.png b/task-archieve/letter-combinations-of-a-phone-number/backtracking/telephone-keypad.png
similarity index 100%
rename from task-archieve/letter-combinations-of-a-phone-number/telephone-keypad.png
rename to task-archieve/letter-combinations-of-a-phone-number/backtracking/telephone-keypad.png
diff --git a/task-archieve/letter-combinations-of-a-phone-number-copy/letter-combinations-queue.gif b/task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/letter-combinations-queue.gif
similarity index 100%
rename from task-archieve/letter-combinations-of-a-phone-number-copy/letter-combinations-queue.gif
rename to task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/letter-combinations-queue.gif
diff --git a/task-archieve/letter-combinations-of-a-phone-number-copy/solution.js b/task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/solution.js
similarity index 100%
rename from task-archieve/letter-combinations-of-a-phone-number-copy/solution.js
rename to task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/solution.js
diff --git a/task-archieve/letter-combinations-of-a-phone-number-copy/task.md b/task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/task.md
similarity index 81%
rename from task-archieve/letter-combinations-of-a-phone-number-copy/task.md
rename to task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/task.md
index f4cf63a..1cf2e0d 100644
--- a/task-archieve/letter-combinations-of-a-phone-number-copy/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/task.md
@@ -4,7 +4,7 @@ Given a string containing digits from `2-9` inclusive, return all possible lette
 
 A mapping of digits to letters (just like on the telephone buttons) is given below. Note that `1` does not map to any letters
 
-<img src=../letter-combinations-of-a-phone-number/telephone-keypad.png width=300 />
+<img src=../backtracking/telephone-keypad.png width=300 />
 
 __Example 1:__
 
@@ -49,9 +49,9 @@ Output:
 
 We can solve this task using a queue and a while loop though it is not obvious at first
 
-__Note:__ the techique of using a queue and a while loop was used to perform the breadth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L147) or [here](../../snippets/Data%20Structures/binary-search-tree.js#L222)
+__Note:__ the techique of using a queue and a while loop was used to perform the breadth-first search of a Binary Tree for example [here](../../../corejs-codejam/task/07-yield-tasks.js#L147) or [here](../../../snippets/Data%20Structures/binary-search-tree.js#L222)
 
-__Note:__ this task can also be solved using the more obvious approach for this kind of task using __*Depth-first Search of Array*__ or __*Breadth-first Search of Array*__, see [this copy](../letter-combinations-of-a-phone-number/task.md) of this task for more on that
+__Note:__ this task can also be solved using the more obvious approach for this kind of task using __*Depth-first Search of Array*__ or __*Breadth-first Search of Array*__, see [this copy](../backtracking/task.md) of this task for more on that
 
 __Note:__ this solution using a queue is actually not so much of a queue type of solution but rather __*Breadth-first Search of Array*__ algorithm implemented using a queue. However this is also a nice use case for a queue
 
@@ -69,5 +69,5 @@ Here is a visual representation of the algorithm
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 7081276..4507fa5 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -24,11 +24,9 @@ It is one of those tasks where you use two pointers (save indexes like `i` and `
 
 But for this particular task you may also need to enable the _power of hashmap_
 
-__Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md) or simply read [this article](../literature/hash-map.md)
-
-__Note:__ the particulars of the approach used in this task are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) (same Task Type)
+__Note:__ the approach used in this task is called "_Sliding Window_". The particulars of this approach are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) (same Task Type) but you can also read more about the "Sliding Window" approach in [this article](../literature/sliding-window.md)
 
-__Note:__ apart from HashMap the approach used in this task is called "_Sliding Window_". Like we said this approach is also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) but you can also read more about the "Sliding Window" approach in [this article](../literature/sliding-window.md)
+__Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md) or simply read [this article](../literature/hash-map.md)
 
 </details>
 
diff --git a/task-archieve/missing-number-sorted-array/task.md b/task-archieve/missing-number-sorted-array/task.md
index dec5481..1b41124 100644
--- a/task-archieve/missing-number-sorted-array/task.md
+++ b/task-archieve/missing-number-sorted-array/task.md
@@ -30,7 +30,7 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
 <summary>Task Type</summary>
 
-This is a classic task where you need to look at and analyze the _relation_ between the indexes of the array, or the _relation_ between the values of the array, or the _relation_ of the indexes to the values of the array
+This is a classic task where you need to look at and analyze the _relation_ between the indexes of the array, or the _relation_ between the values of the array, or the _relation_ of the indexes to the values of the array. Basically it could mean something like this: see what index (or value) the element of the array had and what index (or value) the element of the array should have in the solution and find the relation between these two
 
 To solve this particular task you should merely see the _relation_ of the indexes to the values of the array in that each value in the array should be _equal_ to its index and if it is not then the index of the value is the missing number!
 
diff --git a/task-archieve/remove-duplicates-v2/task.md b/task-archieve/remove-duplicates-v2/task.md
index 7f7c722..f513fff 100644
--- a/task-archieve/remove-duplicates-v2/task.md
+++ b/task-archieve/remove-duplicates-v2/task.md
@@ -32,6 +32,8 @@ It does not matter what you leave beyond the returned k (hence they are undersco
 
 This is an in-place algorithm just like we have seen in [that task](../sort-letters-two-arrays/task.md) except instead of swapping the elements we are going to be _overwriting_ the elements of the array with new values
 
+__Note:__ we also additionally utilize the "Two Pointers One Array" Task Type technique to help us solve this but the key is overwriting elements
+
 So in other words it is the same algorithm type as [that task](../sort-letters-two-arrays/task.md) except in this task we can see its counterpart type where we are overwriting elements of an array instead of swapping elements of an array
 
 There are only two types of in-place algorithms: swapping and overwriting. Here is a quote from Wikipedia to prove my point:
diff --git a/task-archieve/task-type-summary.md b/task-archieve/task-type-summary.md
new file mode 100644
index 0000000..f26c886
--- /dev/null
+++ b/task-archieve/task-type-summary.md
@@ -0,0 +1,98 @@
+# Task Type Summary
+
+## One Pointer One Array
+
+1. Iterate an array and do something
+    1. Use values as indexes
+    2. Iterate an array in reverse
+
+---
+
+## Two Pointers Two Arrays
+
+1. Two pointers of two arrays increase like in Merge Sort
+
+---
+
+## Two Pointers One Array
+
+1. Two pointers go from start and end until some condition
+2. _Sliding Window_
+    1. Right is always ahead of left
+    2. Right is ahead of left and they meet sometimes
+
+---
+
+## One Pointer One Array and One or More Counters
+
+1. Iterate an array keeping one or more counters
+
+---
+
+## One Pointer One Array and HashMap
+
+1. Create and use one or more HashMaps as you iterate an array
+2. Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way
+3. Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)
+
+---
+
+## One Pointer One Array and Stack
+
+1. Create and use one or more Stacks as you iterate an array
+
+---
+
+## While Loop and Stack or Queue
+
+1. Do while loop while stack is not empty popping and pushing along the way
+2. Do while loop while queue is not empty queueing and dequeueing along the way
+
+---
+
+## Array Relation of Indexes or Values or Indexes to Values
+
+1. Find the relation between the indexes of the array
+2. Find the relation between the values of the array
+3. Find the relation of the indexes to values of the array
+
+---
+
+## Array Math Operation on All Elements
+
+1. Do math or bitwise operation on all the elements of the array
+2. Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array
+3. Do math or bitwise operation first on one part of the array and then on another part of of the array
+
+---
+
+## In-Place Swap and Overwrite
+
+1. Swap elements of one or more arrays
+2. Overwrite elements of one or more arrays
+
+---
+
+## Matrix
+
+1. Iterate a matrix
+
+---
+
+## Numbers Math
+
+1. Use Prime Numbers
+2. Use Fibonacci Sequence
+
+---
+
+## Check if Puzzle is Solvable
+
+1. Call the function recursively and see if it solves the puzzle
+
+---
+
+## Backtracking
+1. Call the function recursively taking out each element out of the array per iteration
+2. Do Depth-first Search of Array
+3. Do Breadth-first Search of Array
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 7ba8ebd..297f3f8 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -6,10 +6,11 @@ _Tasks grouped by_ `Task Type`
 
 [:bulb: __Extra Documentation__](./extra-documentation.md)
 
-[:bulb: __Task Type Summary__](./extra-documentation.md#task-type-summary)
+[:bulb: __Task Type Summary__](./task-type-summary.md)
 
 ### One Pointer One Array
   - [Find Peak Element](./find-peak-element/task.md)
+  - [Distance Between Bus Stops](./distance-between-bus-stops/one-pointer-one-array/task.md)
 
 ### Two Pointers Two Arrays
   - [Intersection of intervals](./intersection-intervals/task.md)
@@ -35,7 +36,7 @@ _Tasks grouped by_ `Task Type`
 
 ### While Loop and Stack or Queue
   - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
-  - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number-copy/task.md)
+  - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/task.md)
 
 ### Array Relation of Indexes or Values or Indexes to Values
   - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
@@ -44,6 +45,7 @@ _Tasks grouped by_ `Task Type`
 ### Array Math Operation on All Elements
   - [Single Number](./single-number/task.md)
   - [Missing Number](./missing-number/task.md)
+  - [Distance Between Bus Stops](./distance-between-bus-stops/array-math-operation-on-all-elements/task.md)
 
 ### In-Place Swap and Overwrite
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
@@ -56,8 +58,6 @@ _Tasks grouped by_ `Task Type`
 ### Numbers Math
   - [Keygen](./keygen/task.md)
   - [Maximum Product Subarray](./maximum-product-subarray/task.md)
-
-### Fibonacci Sequence
   - [Climbing Stairs](./climb-stairs/task.md)
 
 ### Check if Puzzle is Solvable
@@ -66,4 +66,4 @@ _Tasks grouped by_ `Task Type`
 
 ### Backtracking
   - [Combinations](./combinations/task.md)
-  - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)
+  - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/backtracking/task.md)

From 1e6b6ae9763ae75a0d49c0b1ef3bbffcba4894bd Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 22 Dec 2023 19:09:22 +0300
Subject: [PATCH 041/110] description for distance-between-bus-stops

---
 .../array-math-operation-on-all-elements/solution.js      | 8 +++++---
 .../array-math-operation-on-all-elements/task.md          | 4 ++++
 .../one-pointer-one-array/task.md                         | 4 ++++
 task-archieve/task-type-summary.md                        | 1 +
 4 files changed, 14 insertions(+), 3 deletions(-)

diff --git a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/solution.js b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/solution.js
index d63a23d..7106b1e 100644
--- a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/solution.js
+++ b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/solution.js
@@ -5,9 +5,9 @@ function distanceBetweenBusStops(distance, start, destination) {
         destination = temp;
     }
 
-    let sum = 0;
+    let sumClockwise = 0;
     for (let i = start; i < destination; i++) {
-        sum += distance[i];
+        sumClockwise += distance[i];
     }
 
     let totalSum = 0;
@@ -15,5 +15,7 @@ function distanceBetweenBusStops(distance, start, destination) {
         totalSum += value;
     }
 
-    return Math.min(sum, totalSum - sum);
+    const sumCounterclockwise = totalSum - sumClockwise;
+
+    return Math.min(sumClockwise, sumCounterclockwise);
 }
diff --git a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
index 44753fa..39f36e7 100644
--- a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
+++ b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
@@ -40,6 +40,10 @@ Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
 
 <summary>Task Type</summary>
 
+It can be treated as a Array Math Operation on All Elements Task Type where you need to do math or bitwise operation first on one part of the array and then on another part of of the array. First of all make sure that `start` is always _before_ `destination` (swap them if not so). Then you need to sum all the elements between `start` and `destination` (this is your sum going clockwise, math operation first on one part of the array), after this get the total sum of all the elements of the array and extract the sum of going clockwise from this total sum (this is your sum going counterclockwise, math operation on another part of of the array). Then return the lesser sum
+
+__Note:__ there is also a more intuitive solution if you treat this task as [One Pointer One Array Task Type](../one-pointer-one-array/task.md)
+
 </details>
 
 ---
diff --git a/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md b/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
index ce1bb61..fa0d2bc 100644
--- a/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
+++ b/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
@@ -40,6 +40,10 @@ Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
 
 <summary>Task Type</summary>
 
+It is a One Pointer One Array Task Type. To solve it first iterate the array and count the sum and then iterate the array in reverse (meaning counterclockwise) and count the sum. Overlap to the beginning or end of the array when necessary. Then return the lesser sum
+
+__Note:__ there is also a less intuitive solution if you treat this task as [Array Math Operation on All Elements Task Type](../array-math-operation-on-all-elements/task.md)
+
 </details>
 
 ---
diff --git a/task-archieve/task-type-summary.md b/task-archieve/task-type-summary.md
index f26c886..1aec420 100644
--- a/task-archieve/task-type-summary.md
+++ b/task-archieve/task-type-summary.md
@@ -93,6 +93,7 @@
 ---
 
 ## Backtracking
+
 1. Call the function recursively taking out each element out of the array per iteration
 2. Do Depth-first Search of Array
 3. Do Breadth-first Search of Array

From 32f3b138ec8113f7e875d24ad7106d9a83ea4a07 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 22 Dec 2023 20:02:50 +0300
Subject: [PATCH 042/110] top-k-frequent-elements task

---
 task-archieve/README.md                       |  1 +
 .../task.md                                   |  2 +-
 .../one-pointer-one-array/task.md             |  2 +-
 task-archieve/partition-labels/task.md        |  8 +++++
 .../top-k-frequent-elements/solution.js       | 21 +++++++++++++
 task-archieve/top-k-frequent-elements/task.md | 30 +++++++++++++++++++
 6 files changed, 62 insertions(+), 2 deletions(-)
 create mode 100644 task-archieve/top-k-frequent-elements/solution.js
 create mode 100644 task-archieve/top-k-frequent-elements/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index d8bf0a1..19db1ce 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -34,3 +34,4 @@ _List of tasks_
 - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
 - [Missing Number](./missing-number/task.md)
 - [Distance Between Bus Stops](./distance-between-bus-stops/one-pointer-one-array/task.md)
+- [Top K Frequent Elements](./top-k-frequent-elements/task.md)
diff --git a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
index 39f36e7..11fc5c7 100644
--- a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
+++ b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
@@ -48,5 +48,5 @@ __Note:__ there is also a more intuitive solution if you treat this task as [One
 
 ---
 
-| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md b/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
index fa0d2bc..87a99ed 100644
--- a/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
+++ b/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
@@ -48,5 +48,5 @@ __Note:__ there is also a less intuitive solution if you treat this task as [Arr
 
 ---
 
-| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js)
+| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/partition-labels/task.md b/task-archieve/partition-labels/task.md
index f504a63..2ff5589 100644
--- a/task-archieve/partition-labels/task.md
+++ b/task-archieve/partition-labels/task.md
@@ -86,6 +86,14 @@ Then we need to iterate the input array once again and as we do that this time w
 
 </details>
 
+<details>
+
+<summary>Similar Tasks</summary>
+
+- [Top K Frequent Elements](../top-k-frequent-elements/task.md)
+
+</details>
+
 ---
 
 | [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
diff --git a/task-archieve/top-k-frequent-elements/solution.js b/task-archieve/top-k-frequent-elements/solution.js
new file mode 100644
index 0000000..d2a29dd
--- /dev/null
+++ b/task-archieve/top-k-frequent-elements/solution.js
@@ -0,0 +1,21 @@
+function topKFrequent(nums, k) {
+    const hashMap = {}; // as optimization it could be Priority Queue instead of Hash Map
+
+    for (const value of nums) {
+        if (value in hashMap) {
+            hashMap[value]++;
+        } else {
+            hashMap[value] = 1;
+        }
+    }
+
+    const result = Object.entries(hashMap)
+        .sort((entry1, entry2) => entry2[1] - entry1[1])
+        .map((entry) => Number(entry[0]));
+
+    while (result.length > k) {
+        result.pop();
+    }
+
+    return result;
+}
diff --git a/task-archieve/top-k-frequent-elements/task.md b/task-archieve/top-k-frequent-elements/task.md
new file mode 100644
index 0000000..0cc06df
--- /dev/null
+++ b/task-archieve/top-k-frequent-elements/task.md
@@ -0,0 +1,30 @@
+# Top K Frequent Elements
+
+Given an integer array `nums` and an integer `k`, return the `k` most frequent elements. You may return the answer in __any order__
+
+__Example 1:__
+
+```
+Input: nums = [1,1,1,2,2,3], k = 2
+Output: [1,2]
+```
+
+__Example 2:__
+
+```
+Input: nums = [1], k = 1
+Output: [1]
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+It is a One Pointer One Array and HashMap Task Type. In order to solve it you need to create HashMap and iterate this HashMap in some way just like in [this task](../partition-labels/task.md). Just don't be fooled by the mention of "any order" in the task description into thinking it is a Task Type for Backtracking Depth-first Search of Array
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |

From aff24f40b74f9c31db3194197b4a0caa29866dc4 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 22 Dec 2023 20:50:06 +0300
Subject: [PATCH 043/110] move-zeroes task

---
 task-archieve/README.md                       |  1 +
 task-archieve/move-zeroes/solution.js         | 13 ++++++++
 task-archieve/move-zeroes/task.md             | 32 +++++++++++++++++++
 task-archieve/remove-duplicates-v2/task.md    |  8 +++++
 task-archieve/task-type-summary.md            |  2 ++
 task-archieve/top-k-frequent-elements/task.md |  4 ++-
 6 files changed, 59 insertions(+), 1 deletion(-)
 create mode 100644 task-archieve/move-zeroes/solution.js
 create mode 100644 task-archieve/move-zeroes/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 19db1ce..b95772a 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -35,3 +35,4 @@ _List of tasks_
 - [Missing Number](./missing-number/task.md)
 - [Distance Between Bus Stops](./distance-between-bus-stops/one-pointer-one-array/task.md)
 - [Top K Frequent Elements](./top-k-frequent-elements/task.md)
+- [Move Zeroes](./move-zeroes/task.md)
diff --git a/task-archieve/move-zeroes/solution.js b/task-archieve/move-zeroes/solution.js
new file mode 100644
index 0000000..5024397
--- /dev/null
+++ b/task-archieve/move-zeroes/solution.js
@@ -0,0 +1,13 @@
+function moveZeroes(nums) {
+    let i = 0;
+
+    for (const value of nums) {
+        if (value !== 0) {
+            nums[i++] = value;
+        }
+    }
+
+    while (i < nums.length) {
+        nums[i++] = 0;
+    }
+}
diff --git a/task-archieve/move-zeroes/task.md b/task-archieve/move-zeroes/task.md
new file mode 100644
index 0000000..16a16b8
--- /dev/null
+++ b/task-archieve/move-zeroes/task.md
@@ -0,0 +1,32 @@
+# Move Zeroes
+
+Given an integer array `nums`, move all `0`'s to the end of it while maintaining the relative order of the non-zero elements
+
+__Note__ that you must do this in-place without making a copy of the array
+
+__Example 1:__
+
+```
+Input: nums = [0,1,0,3,12]
+Output: [1,3,12,0,0]
+```
+
+__Example 2:__
+
+```
+Input: nums = [0]
+Output: [0]
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+It is In-Place Swap and Overwrite Task Type where we overwrite elements of the array. To solve it we need to use 2 pointers: the first pointer goes through the array and if the value is not `0` then it writes this value to where the second pointer is and increments the second pointer. In the end start at the second pointer and write zeroes after it until the end of the array. This task uses the same approach as [this task](../remove-duplicates-v2/task.md)
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/remove-duplicates-v2/task.md b/task-archieve/remove-duplicates-v2/task.md
index f513fff..484f246 100644
--- a/task-archieve/remove-duplicates-v2/task.md
+++ b/task-archieve/remove-duplicates-v2/task.md
@@ -46,6 +46,14 @@ _In computer science, an in-place algorithm is an algorithm which transforms inp
 
 </details>
 
+<details>
+
+<summary>Similar Tasks</summary>
+
+- [Move Zeroes](../move-zeroes/task.md)
+
+</details>
+
 ---
 
 | [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
diff --git a/task-archieve/task-type-summary.md b/task-archieve/task-type-summary.md
index 1aec420..42d91f1 100644
--- a/task-archieve/task-type-summary.md
+++ b/task-archieve/task-type-summary.md
@@ -70,6 +70,8 @@
 
 1. Swap elements of one or more arrays
 2. Overwrite elements of one or more arrays
+    1. The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer
+    2. Iterate the array and get some information. Then based on this information iterate the array again overwriting its values
 
 ---
 
diff --git a/task-archieve/top-k-frequent-elements/task.md b/task-archieve/top-k-frequent-elements/task.md
index 0cc06df..ddad3a4 100644
--- a/task-archieve/top-k-frequent-elements/task.md
+++ b/task-archieve/top-k-frequent-elements/task.md
@@ -20,7 +20,9 @@ Output: [1]
 
 <summary>Task Type</summary>
 
-It is a One Pointer One Array and HashMap Task Type. In order to solve it you need to create HashMap and iterate this HashMap in some way just like in [this task](../partition-labels/task.md). Just don't be fooled by the mention of "any order" in the task description into thinking it is a Task Type for Backtracking Depth-first Search of Array
+It is a One Pointer One Array and HashMap Task Type. In order to solve it you need to create HashMap and iterate this HashMap in some way similarly to [this task](../partition-labels/task.md) except here we need to _sort_ this HashMap we get
+
+Just don't be fooled by the mention of "any order" in the task description into thinking it is a Task Type for Backtracking Depth-first Search of Array
 
 </details>
 

From c93232e86f75d96909868541011bda570c8dc54d Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 26 Dec 2023 23:59:46 +0300
Subject: [PATCH 044/110] setup the word-break task

---
 task-archieve/README.md              |  1 +
 task-archieve/task-type.md           |  3 +++
 task-archieve/word-break/solution.js |  2 ++
 task-archieve/word-break/task.md     | 40 ++++++++++++++++++++++++++++
 4 files changed, 46 insertions(+)
 create mode 100644 task-archieve/word-break/solution.js
 create mode 100644 task-archieve/word-break/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index b95772a..4e10809 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -36,3 +36,4 @@ _List of tasks_
 - [Distance Between Bus Stops](./distance-between-bus-stops/one-pointer-one-array/task.md)
 - [Top K Frequent Elements](./top-k-frequent-elements/task.md)
 - [Move Zeroes](./move-zeroes/task.md)
+- [Word Break](./word-break/task.md)
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 297f3f8..1cc530e 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -67,3 +67,6 @@ _Tasks grouped by_ `Task Type`
 ### Backtracking
   - [Combinations](./combinations/task.md)
   - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/backtracking/task.md)
+
+### Tabulation
+  - [Word Break](./word-break/task.md)
diff --git a/task-archieve/word-break/solution.js b/task-archieve/word-break/solution.js
new file mode 100644
index 0000000..aa5ce60
--- /dev/null
+++ b/task-archieve/word-break/solution.js
@@ -0,0 +1,2 @@
+function wordBreak(s, wordDict) {
+}
diff --git a/task-archieve/word-break/task.md b/task-archieve/word-break/task.md
new file mode 100644
index 0000000..f738fd1
--- /dev/null
+++ b/task-archieve/word-break/task.md
@@ -0,0 +1,40 @@
+# Word Break
+
+Given a string `s` and a dictionary of strings `wordDict`, return `true` if `s` can be segmented into a space-separated sequence of one or more dictionary words
+
+__Note__ that the same word in the dictionary may be reused multiple times in the segmentation
+
+__Example 1:__
+
+```
+Input: s = "leetcode", wordDict = ["leet","code"]
+Output: true
+Explanation: Return true because "leetcode" can be segmented as "leet code"
+```
+
+__Example 2:__
+
+```
+Input: s = "applepenapple", wordDict = ["apple","pen"]
+Output: true
+Explanation: Return true because "applepenapple" can be segmented as "apple pen apple"
+Note that you are allowed to reuse a dictionary word
+```
+
+__Example 3:__
+
+```
+Input: s = "catsandog", wordDict = ["cats","dog","sand","and","cat"]
+Output: false
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |

From f024994c40776608ac49f1af37bdaf594ce33bd4 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Sat, 30 Dec 2023 03:53:17 +0300
Subject: [PATCH 045/110] fill in task-type-summary with code examples

---
 task-archieve/task-type-summary.md | 670 ++++++++++++++++++++++++++++-
 task-archieve/word-break/task.md   |   4 +-
 2 files changed, 664 insertions(+), 10 deletions(-)

diff --git a/task-archieve/task-type-summary.md b/task-archieve/task-type-summary.md
index 42d91f1..ce7469c 100644
--- a/task-archieve/task-type-summary.md
+++ b/task-archieve/task-type-summary.md
@@ -1,52 +1,367 @@
 # Task Type Summary
 
+:bulb: Feel free to revise all the algorithm examples under the spoiler "Code". There are mysterious functions called `logic()` and `condition()`. These functions are where the business logic of a particular Task lives. Also note that not every Approach can be given a "Code" section spoiler (it is very rare but it happens) for such Approaches solve the corresponding Tasks
+
 ## One Pointer One Array
 
-1. Iterate an array and do something
-    1. Use values as indexes
-    2. Iterate an array in reverse
+1. Iterate an array
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        for (let i = 0; i < array.length; i++) {
+            logic(array[i], i);
+        }
+    }
+    ```
+
+    __Input:__ `[1, 2, 3]`
+
+    __Output:__ value: `1`, `2`, `3`, index: `0`, `1`, `2`
+
+    </details>
+
+2. Use values as indexes
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        for (let i = 0; i < array.length; i++) {
+            logic(array[array[i]]);
+        }
+    }
+    ```
+
+    __Input:__ `[1, 2, 3]`
+
+    __Output:__ `2`, `3`, `undefined`
+
+    </details>
+
+3. Iterate an array in reverse
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        for (let i = array.length - 1; i >= 0; i--) {
+            logic(array[i], i);
+        }
+    }
+    ```
+
+    __Input:__ `[1, 2, 3]`
+
+    __Output:__ value: `3`, `2`, `1`, index: `2`, `1`, `0`
+
+    </details>
 
 ---
 
 ## Two Pointers Two Arrays
 
 1. Two pointers of two arrays increase like in Merge Sort
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array1, array2) {
+        let i = 0;
+        let j = 0;
+
+        while (i < array1.length && j < array2.length) {
+            if (condition()) {
+                logic(array1[i++]);
+            } else {
+                logic(array2[j++]);
+            }
+        }
+
+        while (i < array1.length) {
+            logic(array1[i++]);
+        }
+
+        while (j < array1.length) {
+            logic(array2[j++]);
+        }
+    }
+    ```
+
+    __Input:__ `[1, 2, 3]`, `['a', 'b', 'c']`
+
+    __Output:__ intermingled values of both arrays
+
+    </details>
 
 ---
 
 ## Two Pointers One Array
 
 1. Two pointers go from start and end until some condition
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        let i = 0;
+        let j = array.length - 1;
+
+        while (i < j) {
+            logic(array[i], array[j]);
+
+            if (condition()) {
+                i++;
+            } else {
+                j--;
+            }
+        }
+    }
+    ```
+
+    </details>
+
 2. _Sliding Window_
-    1. Right is always ahead of left
-    2. Right is ahead of left and they meet sometimes
+    1. Right is always ahead of left and window size is fixed
+        <details>
+
+        <summary>Code</summary>
+
+        ```js
+        function approach(array) {
+            let i = 0;
+
+            for (i = 0; i < WINDOW_SIZE; i++) {
+                logic(array[i]);
+            }
+
+            while (i < array.length) {
+                logic(array[i - WINDOW_SIZE], array[i]);
+                i++;
+            }
+        }
+        ```
+
+        __Input:__ `WINDOW_SIZE = 3`, `[1, 2, 3, 4, 5, 6, 7]`
+
+        __Output:__ `1, 4`, `2, 5`, `3, 6`, `4, 7`
+
+        </details>
+
+    2. Right is ahead of left but window size is dynamic
+        <details>
+
+        <summary>Code</summary>
+
+        ```js
+        function approach(array) {
+            let i = 0;
+            let j = 1;
+
+            while (j < array.length) {
+                logic(array[i], array[j]);
+
+                while (i < j - 1) {
+                    if (condition()) {
+                        i++;
+                    }
+                }
+
+                while(condition() && j < array.length) {
+                    j++;
+                }
+            }
+        }
+        ```
+
+        __Input:__ `[1, 2, 3, 4, 5, 6, 7]`
+
+        __Output:__ `1, 2`, `1, 4`, `3, 4`, `3, 5`, `4, 5`, `5, 6`, `5, 7`, `6, 7`
+
+        </details>
+
+    3. Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)
+        <details>
+
+        <summary>Code</summary>
+
+        ```js
+        function approach(array) {
+            let i = 0;
+            let j = 0;
+
+            while (j < array.length) {
+                logic(array[i], array[j]);
+
+                while (i < j) {
+                    if (condition()) {
+                        i++;
+                    }
+                }
+
+                while(condition() && j < array.length) {
+                    j++;
+                }
+            }
+        }
+        ```
+
+        __Input:__ `[1, 2, 3, 4, 5, 6, 7]`
+
+        __Output:__ `1, 1`, `1, 2`, `2, 2`, `2, 3`, `3, 3`, `3, 5`, `5, 5`, `5, 6`, `6, 7`, `7, 7`
+
+        </details>
 
 ---
 
 ## One Pointer One Array and One or More Counters
 
 1. Iterate an array keeping one or more counters
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        let counter;
+
+        for (let i = 0; i < array.length; i++) {
+            logic(array[i], counter);
+        }
+    }
+    ```
+
+    </details>
 
 ---
 
 ## One Pointer One Array and HashMap
 
 1. Create and use one or more HashMaps as you iterate an array
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const hashMap = {};
+
+        for (let i = 0; i < array.length; i++) {
+            logic(array[i], hashMap);
+        }
+    }
+    ```
+
+    </details>
+
 2. Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const hashMap = {};
+
+        for (let i = 0; i < array.length; i++) {
+            logic(array[i], hashMap);
+        }
+
+        logic(hashMap, Object.entries(hashMap));
+    }
+    ```
+
+    </details>
+
 3. Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const hashMap = {};
+
+        for (let i = 0; i < array.length; i++) {
+            logic(array[i], hashMap);
+        }
+
+        for (let i = 0; i < array.length; i++) {
+            logic(array[i], hashMap);
+        }
+    }
+    ```
+
+    </details>
 
 ---
 
 ## One Pointer One Array and Stack
 
 1. Create and use one or more Stacks as you iterate an array
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const stack = [];
+
+        for (let i = 0; i < array.length; i++) {
+            logic(array[i], stack); // stack.push() stack.pop()
+        }
+    }
+    ```
+
+    </details>
 
 ---
 
 ## While Loop and Stack or Queue
 
 1. Do while loop while stack is not empty popping and pushing along the way
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const stack = [];
+
+        logic(stack);
+
+        while(stack.length) {
+            logic(array, stack); // stack.push() stack.pop()
+        }
+    }
+    ```
+
+    </details>
+
 2. Do while loop while queue is not empty queueing and dequeueing along the way
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const queue = [];
+
+        logic(queue);
+
+        while(queue.length) {
+            logic(array, queue); // queue.push() queue.shift()
+        }
+    }
+    ```
+
+    </details>
 
 ---
 
@@ -69,33 +384,372 @@
 ## In-Place Swap and Overwrite
 
 1. Swap elements of one or more arrays
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        for (let i = 0; i < array.length; i++) {
+            logic(array, i, swap);
+        }
+    }
+
+    function swap(array, i1, i2) {
+        ([array[i1], array[i2]] = [array[i2], array[i1]]);
+    }
+    ```
+
+    </details>
+
 2. Overwrite elements of one or more arrays
     1. The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        let i = 0;
+        let j = 0;
+
+        for (i = 0; i < array.length; i++) {
+            if (condition()) {
+                array[j++] = logic(array[i]);
+            }
+        }
+    }
+
+    // or:
+
+    function approach(array) {
+        let i = 0;
+
+        for (const value of array) {
+            if (condition()) {
+                array[i++] = logic(value);
+            }
+        }
+    }
+    ```
+
+    </details>
+
     2. Iterate the array and get some information. Then based on this information iterate the array again overwriting its values
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        let i = 0;
+
+        for (i = 0; i < array.length; i++) {
+            logic(array[i], i);
+        }
+
+        for (i = 0; i < array.length; i++) {
+            array[i] = logic();
+        }
+    }
+    ```
+
+    </details>
 
 ---
 
 ## Matrix
 
 1. Iterate a matrix
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(matrix) {
+        let i;
+        let j;
+
+        // horizontal
+        for (i = 0; i < matrix[0].length; i++) {
+            logic(matrix[0][i]);
+        }
+
+        // vertical
+        for (j = 0; j < matrix.length; j++) {
+            logic(matrix[j][0]);
+        }
+
+        // diagonal
+        for (i = 0, j = 0; i < matrix[0].length && j < matrix.length; i++, j++) {
+            logic(matrix[j][i]);
+        }
+    }
+    ```
+
+    __Input:__
+    ```
+    [
+        [1, 2, 3],
+        [4, 5, 6],
+        [7, 8, 9],
+    ]
+    ```
+
+    __Output:__ horizontal: `1`, `2`, `3`, vertical: `1`, `4`, `7`, diagonal: `1`, `5`, `9`
+
+    </details>
 
 ---
 
 ## Numbers Math
 
 1. Use Prime Numbers
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach() {
+        logic(getPrimes, isPrime);
+    }
+
+    function getPrimes(limit = 0) {
+        const primes = [];
+
+        if (limit === 0) {
+            return primes;
+        }
+
+        primes.push(2);
+
+        for (let i = 3; i <= limit; i++) {
+            let found = true;
+
+            for (let j = 0; j < primes.length; j++) {
+                if (i % primes[j] === 0) {
+                    found = false;
+                    break;
+                }
+            }
+
+            if (found) {
+                primes.push(i);
+            }
+        }
+
+        return primes;
+    }
+
+    function isPrime(num) {
+        if (num <= 1) {
+            return false;
+        }
+
+        for (let i = 2; i <= Math.sqrt(num); i++) {
+            if (num % i === 0) {
+                return false;
+            }
+        }
+
+        return true;
+    }
+    ```
+
+    __Output:__ `2`, `3`, `5`, `7`, `11`, `13`, `17`, `19`, `23`, `29`, `31`, `37`, `41`, `43`, `47`, ...
+
+    </details>
+
 2. Use Fibonacci Sequence
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach() {
+        logic(fibonacci, getFibonacci);
+    }
+
+    function fibonacci(length = 0) {
+        if (length === 0) {
+            return 0;
+        }
+
+        const nums = [0, 1];
+
+        if (length <= 2) {
+            return nums[length - 1];
+        }
+
+        for (let i = 2; i < length; i++) {
+            nums[i] = nums[i - 1] + nums[i - 2];
+        }
+
+        return nums;
+    }
+
+    function getFibonacci(position = 0) {
+        if (position <= 1) {
+            return position;
+        }
+
+        let prev = 1;
+        let current = 2;
+        let i = 3;
+
+        while (i < position) {
+            const sum = prev + current;
+
+            prev = current;
+            current = sum;
+
+            i++;
+        }
+
+        return current;
+    }
+    ```
+
+    __Output:__ `0`, `1`, `1`, `2`, `3`, `5`, `8`, `13`, `21`, `34`, ...
+
+    </details>
 
 ---
 
 ## Check if Puzzle is Solvable
 
 1. Call the function recursively and see if it solves the puzzle
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(game) {
+        for (let i = 0; i < game[0].length; i++) {
+            for (let j = 0; j < game.length; j++) {
+                logic(game[j][i]);
+
+                if (approach()) {
+                    return true;
+                }
+            }
+        }
+
+        return false;
+    }
+    ```
+
+    </details>
 
 ---
 
 ## Backtracking
 
-1. Call the function recursively taking out each element out of the array per iteration
-2. Do Depth-first Search of Array
-3. Do Breadth-first Search of Array
+1. Call the function recursively taking out each element out of the array per iteration (get all permutations)
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const permutations = [];
+
+        if (array.length === 1) {
+            return [[array[0]]];
+        }
+
+        for (let i = 0; i < array.length; i++) {
+            const picked = [array[i]];
+            const rest = approach(
+                array.filter((_value, index) => index !== i)
+            );
+
+            for (let j = 0; j < rest.length; j++) {
+                const next = [...picked, ...rest[j]];
+
+                permutations.push(next);
+            }
+        }
+
+        logic(permutations);
+
+        return permutations;
+    }
+    ```
+
+    __Input:__ `[1, 2, 3]`
+
+    __Output:__ `[ 1, 2, 3 ]`, `[ 1, 3, 2 ]`, `[ 2, 1, 3 ]`, `[ 2, 3, 1 ]`, `[ 3, 1, 2 ]`, `[ 3, 2, 1 ]`
+
+    </details>
+
+2. Do Depth-first Search of Array (get all unique combinations in any order)
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const combinations = [];
+
+        function dfs(current, offset) {
+            combinations.push(current);
+
+            logic(current);
+
+            if (offset === array.length) {
+                return;
+            }
+
+            for (let i = offset; i < array.length; i++) {
+                dfs([...current, array[i]], i + 1);
+            }
+        }
+
+        dfs([], 0);
+
+        logic(combinations);
+    }
+    ```
+
+    __Input:__ `[1, 2, 3]`
+
+    __Output:__ `[]`, `[1]`, `[2]`, `[3]`, `[1,2]`, `[1,3]`, `[2,3]`, `[1,2,3]`
+
+    </details>
+
+---
+
+<!--
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function TODO() {
+    }
+    ```
+
+    __Input:__ TODO
+
+    __Output:__ TODO
+
+    </details>
+-->
+
+<!--
+function approach(array) {
+}
+
+------------
+
+function logic(...args) {
+    console.log(...args);
+}
+
+function condition() {
+    return Math.random() < 0.3;
+}
+
+approach([1, 2, 3, 4, 5, 6, 7], ['a', 'b', 'c']);
+-->
diff --git a/task-archieve/word-break/task.md b/task-archieve/word-break/task.md
index f738fd1..2c9b2b1 100644
--- a/task-archieve/word-break/task.md
+++ b/task-archieve/word-break/task.md
@@ -7,9 +7,9 @@ __Note__ that the same word in the dictionary may be reused multiple times in th
 __Example 1:__
 
 ```
-Input: s = "leetcode", wordDict = ["leet","code"]
+Input: s = "mycodewars", wordDict = ["my","codewars"]
 Output: true
-Explanation: Return true because "leetcode" can be segmented as "leet code"
+Explanation: Return true because "mycodewars" can be segmented as "my codewars"
 ```
 
 __Example 2:__

From 97f9db72599a605b1ab2028e0fd4596002cb2674 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Sat, 30 Dec 2023 04:05:34 +0300
Subject: [PATCH 046/110] fix indentation

---
 task-archieve/task-type-summary.md | 64 +++++++++++++++---------------
 1 file changed, 32 insertions(+), 32 deletions(-)

diff --git a/task-archieve/task-type-summary.md b/task-archieve/task-type-summary.md
index ce7469c..19fa71b 100644
--- a/task-archieve/task-type-summary.md
+++ b/task-archieve/task-type-summary.md
@@ -404,57 +404,57 @@
 
 2. Overwrite elements of one or more arrays
     1. The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer
-    <details>
+        <details>
 
-    <summary>Code</summary>
+        <summary>Code</summary>
 
-    ```js
-    function approach(array) {
-        let i = 0;
-        let j = 0;
+        ```js
+        function approach(array) {
+            let i = 0;
+            let j = 0;
 
-        for (i = 0; i < array.length; i++) {
-            if (condition()) {
-                array[j++] = logic(array[i]);
+            for (i = 0; i < array.length; i++) {
+                if (condition()) {
+                    array[j++] = logic(array[i]);
+                }
             }
         }
-    }
 
-    // or:
+        // or:
 
-    function approach(array) {
-        let i = 0;
+        function approach(array) {
+            let i = 0;
 
-        for (const value of array) {
-            if (condition()) {
-                array[i++] = logic(value);
+            for (const value of array) {
+                if (condition()) {
+                    array[i++] = logic(value);
+                }
             }
         }
-    }
-    ```
+        ```
 
-    </details>
+        </details>
 
     2. Iterate the array and get some information. Then based on this information iterate the array again overwriting its values
-    <details>
+        <details>
 
-    <summary>Code</summary>
+        <summary>Code</summary>
 
-    ```js
-    function approach(array) {
-        let i = 0;
+        ```js
+        function approach(array) {
+            let i = 0;
 
-        for (i = 0; i < array.length; i++) {
-            logic(array[i], i);
-        }
+            for (i = 0; i < array.length; i++) {
+                logic(array[i], i);
+            }
 
-        for (i = 0; i < array.length; i++) {
-            array[i] = logic();
+            for (i = 0; i < array.length; i++) {
+                array[i] = logic();
+            }
         }
-    }
-    ```
+        ```
 
-    </details>
+        </details>
 
 ---
 

From 475ae3249d8e745c8c7f8b09ecb56b7b00ccec08 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Sat, 30 Dec 2023 04:13:27 +0300
Subject: [PATCH 047/110] fix fibonacci

---
 task-archieve/task-type-summary.md | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/task-archieve/task-type-summary.md b/task-archieve/task-type-summary.md
index 19fa71b..04cbafe 100644
--- a/task-archieve/task-type-summary.md
+++ b/task-archieve/task-type-summary.md
@@ -572,13 +572,17 @@
 
     function fibonacci(length = 0) {
         if (length === 0) {
-            return 0;
+            return [];
+        }
+
+        if (length === 1) {
+            return [0];
         }
 
         const nums = [0, 1];
 
-        if (length <= 2) {
-            return nums[length - 1];
+        if (length === 2) {
+            return nums;
         }
 
         for (let i = 2; i < length; i++) {

From 4323efc9d52fdd70390c5b0dc4323a1aca8da06b Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 24 Jan 2024 16:59:11 +0300
Subject: [PATCH 048/110] brush up task-type-summary a bit

---
 task-archieve/README.md                       |   2 +-
 task-archieve/combinations/task.md            |   4 +-
 .../task.md                                   |   4 +-
 .../letter-combinations-queue.gif             | Bin
 .../{backtracking => }/solution-2.js          |   2 -
 .../solution.js => solution-3.js}             |   2 -
 .../solution.js                               |   2 -
 .../{backtracking => }/task.md                |  14 +-
 .../{backtracking => }/telephone-keypad.png   | Bin
 .../while-loop-and-stack-or-queue/task.md     |  73 -------
 task-archieve/task-type-summary.md            | 201 +++++++++++++++++-
 task-archieve/task-type.md                    |   3 +-
 task-archieve/word-break/solution.js          |   1 +
 13 files changed, 214 insertions(+), 94 deletions(-)
 rename task-archieve/letter-combinations-of-a-phone-number/{while-loop-and-stack-or-queue => }/letter-combinations-queue.gif (100%)
 rename task-archieve/letter-combinations-of-a-phone-number/{backtracking => }/solution-2.js (96%)
 rename task-archieve/letter-combinations-of-a-phone-number/{backtracking/solution.js => solution-3.js} (96%)
 rename task-archieve/letter-combinations-of-a-phone-number/{while-loop-and-stack-or-queue => }/solution.js (96%)
 rename task-archieve/letter-combinations-of-a-phone-number/{backtracking => }/task.md (52%)
 rename task-archieve/letter-combinations-of-a-phone-number/{backtracking => }/telephone-keypad.png (100%)
 delete mode 100644 task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 4e10809..53aa89e 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -30,7 +30,7 @@ _List of tasks_
 - [Partition Labels](./partition-labels/task.md)
 - [Summary Ranges](./summary-ranges/task.md)
 - [Sort Colors](./sort-colors/task.md)
-- [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/backtracking/task.md)
+- [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)
 - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
 - [Missing Number](./missing-number/task.md)
 - [Distance Between Bus Stops](./distance-between-bus-stops/one-pointer-one-array/task.md)
diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
index 2a515b4..07b8dac 100644
--- a/task-archieve/combinations/task.md
+++ b/task-archieve/combinations/task.md
@@ -25,7 +25,7 @@ Explanation: There is 1 choose 1 = 1 total combination
 
 <summary>Task Type</summary>
 
-This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__ (read the Hint for what this means)
+This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__ (read the Hint for what this means). What we need to do here is get all unique combinations of values of an array in any order which is a common approach for solving tasks of Backtracking Task Type
 
 </details>
 
@@ -33,7 +33,7 @@ This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-
 
 <summary>Hint</summary>
 
-This task is for __*Recursive Backtracking*__. Note that unlike the ["Permutations of a String" task](../../2\)%20Task%20Challanges.md#28-permutations-of-a-string), in this task we are supposed to return the output in __any order__. So for this task the order of the permutations doesn't matter. When the order of the permutations doesn't matter you should apply a permutations algorithm that is actually different from the one we saw before in the "Permutations of a String" task in order not to come up with duplicates (i.e., `[1,2]` and `[2,1]`)
+This task is for __*Recursive Backtracking*__. Note that unlike the ["Permutations of a String" task](../../2\)%20Task%20Challanges.md#28-permutations-of-a-string), in this task we are supposed to return the output in __any order__, also we want _combinations_ of values of an array and not _permutations_ like in the "Permutations of a String" task (so basically we are going to combine values of an array instead of re-arranging them the difference being that `[1,2]` and `[2,1]` are different permutations but these are the same combination of the elements). So for this task the order of the combinations doesn't matter. When the order of the combinations doesn't matter you should apply a backtracking algorithm that is actually different from the one we saw before in the "Permutations of a String" task in order not to come up with duplicates (i.e., `[1,2]` and `[2,1]`)
 
 While in the "Permutations of a String" task we would iterate the array and take out one element out of the array and get the rest of the permutations by recursively backtracking thereby always splitting the array into smaller and smaller chunks what we need to do here is somewhat the opposite though similar: we need to apply the function that by recursively backtracking builds back the array into bigger and bigger chunks (appending elements on the right to the elements on the left)
 
diff --git a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
index 11fc5c7..0e461df 100644
--- a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
+++ b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
@@ -40,7 +40,9 @@ Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
 
 <summary>Task Type</summary>
 
-It can be treated as a Array Math Operation on All Elements Task Type where you need to do math or bitwise operation first on one part of the array and then on another part of of the array. First of all make sure that `start` is always _before_ `destination` (swap them if not so). Then you need to sum all the elements between `start` and `destination` (this is your sum going clockwise, math operation first on one part of the array), after this get the total sum of all the elements of the array and extract the sum of going clockwise from this total sum (this is your sum going counterclockwise, math operation on another part of of the array). Then return the lesser sum
+It can be treated as a Array Math Operation on All Elements Task Type where you need to do math or bitwise operation first on one part of the array and then on another part of of the array
+
+First of all make sure that `start` is always _before_ `destination` (swap them if not so). Then you need to sum all the elements between `start` and `destination` (this is your sum going clockwise, math operation first on one part of the array), after this get the total sum of all the elements of the array and extract the sum of going clockwise from this total sum (this is your sum going counterclockwise, math operation on another part of of the array). Then return the lesser sum
 
 __Note:__ there is also a more intuitive solution if you treat this task as [One Pointer One Array Task Type](../one-pointer-one-array/task.md)
 
diff --git a/task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/letter-combinations-queue.gif b/task-archieve/letter-combinations-of-a-phone-number/letter-combinations-queue.gif
similarity index 100%
rename from task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/letter-combinations-queue.gif
rename to task-archieve/letter-combinations-of-a-phone-number/letter-combinations-queue.gif
diff --git a/task-archieve/letter-combinations-of-a-phone-number/backtracking/solution-2.js b/task-archieve/letter-combinations-of-a-phone-number/solution-2.js
similarity index 96%
rename from task-archieve/letter-combinations-of-a-phone-number/backtracking/solution-2.js
rename to task-archieve/letter-combinations-of-a-phone-number/solution-2.js
index 4ed2e46..a2f4c6e 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/backtracking/solution-2.js
+++ b/task-archieve/letter-combinations-of-a-phone-number/solution-2.js
@@ -1,5 +1,3 @@
-/* breadth first search */
-
 function letterCombinations(digits) {
     let res = [];
 
diff --git a/task-archieve/letter-combinations-of-a-phone-number/backtracking/solution.js b/task-archieve/letter-combinations-of-a-phone-number/solution-3.js
similarity index 96%
rename from task-archieve/letter-combinations-of-a-phone-number/backtracking/solution.js
rename to task-archieve/letter-combinations-of-a-phone-number/solution-3.js
index 63de955..e81a93f 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/backtracking/solution.js
+++ b/task-archieve/letter-combinations-of-a-phone-number/solution-3.js
@@ -1,5 +1,3 @@
-/* depth first search */
-
 function letterCombinations(digits) {
     const result = [];
 
diff --git a/task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/solution.js b/task-archieve/letter-combinations-of-a-phone-number/solution.js
similarity index 96%
rename from task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/solution.js
rename to task-archieve/letter-combinations-of-a-phone-number/solution.js
index 237edc7..4c80362 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/solution.js
+++ b/task-archieve/letter-combinations-of-a-phone-number/solution.js
@@ -1,5 +1,3 @@
-/* while loop and queue */
-
 function letterCombinations(digits) {
     let queue = [''];
     let i = 0;
diff --git a/task-archieve/letter-combinations-of-a-phone-number/backtracking/task.md b/task-archieve/letter-combinations-of-a-phone-number/task.md
similarity index 52%
rename from task-archieve/letter-combinations-of-a-phone-number/backtracking/task.md
rename to task-archieve/letter-combinations-of-a-phone-number/task.md
index 0b6c723..429733d 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/backtracking/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number/task.md
@@ -47,20 +47,22 @@ Output:
 
 <summary>Task Type</summary>
 
-We can solve this task using __*Depth-first Search of Array*__ (solution 1) exactly in the same way as [Combinations task](../../combinations/task.md)
+This a Backtracking Task Type. Think of each button of the phone as an array consisting of 3 elements (for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the approach to get all unique combinations of values of many arrays in any order. In order to do this we need to adapt the approach called "Merge two queues overwriting the parent queue"
 
-The point of this task is that it can also be solved using the __*Breadth-first Search of Array*__ (solution 2). It works in this way:
+It works in this way:
 1. At the beginning, it is an empty string
 2. The new layer is obtained by adding characters at the end of the previous layer
 3. After the new layer is obtained, the previous layer is not used
 
-It is probably best to see the actual [solution 2](./solution-2.js) to understand exactly how it works
+Here is a visual representation of the algorithm:
 
-__Note:__ this task can also be solved using a Queue and a while loop, see [this copy](../while-loop-and-stack-or-queue/task.md) of this task for how to solve this task if we treat it as "While Loop and Stack or Queue" Task Type
+<img src=./letter-combinations-queue.gif width=400 />
+
+__Note:__ you can also get all unique combinations of values of many arrays in any order by using the recursive variation of the approach ([solution 3](./solution-3.js)) but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
 
 </details>
 
 ---
 
-| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
+| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) | [:white_check_mark: solution 3](./solution-3.js) |
+| :---: | :---: | :---: | :---: |
diff --git a/task-archieve/letter-combinations-of-a-phone-number/backtracking/telephone-keypad.png b/task-archieve/letter-combinations-of-a-phone-number/telephone-keypad.png
similarity index 100%
rename from task-archieve/letter-combinations-of-a-phone-number/backtracking/telephone-keypad.png
rename to task-archieve/letter-combinations-of-a-phone-number/telephone-keypad.png
diff --git a/task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/task.md b/task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/task.md
deleted file mode 100644
index 1cf2e0d..0000000
--- a/task-archieve/letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/task.md
+++ /dev/null
@@ -1,73 +0,0 @@
-# Letter Combinations of a Phone Number
-
-Given a string containing digits from `2-9` inclusive, return all possible letter combinations that the number could represent. Return the answer in __any order__
-
-A mapping of digits to letters (just like on the telephone buttons) is given below. Note that `1` does not map to any letters
-
-<img src=../backtracking/telephone-keypad.png width=300 />
-
-__Example 1:__
-
-```
-Input: digits = "23"
-Output: ["ad","ae","af","bd","be","bf","cd","ce","cf"]
-```
-
-__Example 2:__
-
-```
-Input: digits = ""
-Output: []
-```
-
-__Example 3:__
-
-```
-Input: digits = "2"
-Output: ["a","b","c"]
-```
-
-__Example 4:__
-
-```
-Input: digits = "234"
-Output:
-[
-  "adg", "adh", "adi", "aeg",
-  "aeh", "aei", "afg", "afh",
-  "afi", "bdg", "bdh", "bdi",
-  "beg", "beh", "bei", "bfg",
-  "bfh", "bfi", "cdg", "cdh",
-  "cdi", "ceg", "ceh", "cei",
-  "cfg", "cfh", "cfi"
-]
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-We can solve this task using a queue and a while loop though it is not obvious at first
-
-__Note:__ the techique of using a queue and a while loop was used to perform the breadth-first search of a Binary Tree for example [here](../../../corejs-codejam/task/07-yield-tasks.js#L147) or [here](../../../snippets/Data%20Structures/binary-search-tree.js#L222)
-
-__Note:__ this task can also be solved using the more obvious approach for this kind of task using __*Depth-first Search of Array*__ or __*Breadth-first Search of Array*__, see [this copy](../backtracking/task.md) of this task for more on that
-
-__Note:__ this solution using a queue is actually not so much of a queue type of solution but rather __*Breadth-first Search of Array*__ algorithm implemented using a queue. However this is also a nice use case for a queue
-
-</details>
-
-<details>
-
-<summary>Hint</summary>
-
-Here is a visual representation of the algorithm
-
-<img src=./letter-combinations-queue.gif width=400 />
-
-</details>
-
----
-
-| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/task-type-summary.md b/task-archieve/task-type-summary.md
index 04cbafe..0a78389 100644
--- a/task-archieve/task-type-summary.md
+++ b/task-archieve/task-type-summary.md
@@ -363,6 +363,33 @@
 
     </details>
 
+3. Merge two queues overwriting the parent queue
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach() {
+        let queue = [];
+
+        logic(queue);
+
+        while (condition()) {
+            const currentQueue = [];
+
+            while (queue.length > 0) {
+                const element = queue.shift();
+
+                currentQueue.push(logic(element));
+            }
+
+            queue = currentQueue;
+        }
+    }
+    ```
+
+    </details>
+
 ---
 
 ## Array Relation of Indexes or Values or Indexes to Values
@@ -376,8 +403,87 @@
 ## Array Math Operation on All Elements
 
 1. Do math or bitwise operation on all the elements of the array
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        let counter = 0;
+
+        for (const value of array) {
+            counter += value; // math
+            // or:
+            counter ^= value; // bitwise
+        }
+
+        logic(counter);
+    }
+    ```
+
+    </details>
+
 2. Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        let counter = 0;
+
+        for (const value of array) {
+            counter += value; // math
+            // or:
+            counter ^= value; // bitwise
+        }
+
+        for (let i = 0; i <= array.length; i++) {
+            counter += i; // math
+            // or:
+            counter ^= i; // bitwise
+        }
+
+        logic(counter);
+    }
+    ```
+
+    </details>
+
 3. Do math or bitwise operation first on one part of the array and then on another part of of the array
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        let i;
+        let n = logic(); // index of array
+
+        let counter1 = 0;
+        let counter2 = 0;
+
+        for (i = 0; i < n; i++) {
+            const value = array[i];
+
+            counter1 += value; // math
+            // or:
+            counter1 ^= value; // bitwise
+        }
+
+        for (i = n; i < array.length; i++) {
+            const value = array[i];
+
+            counter2 += value; // math
+            // or:
+            counter2 ^= value; // bitwise
+        }
+
+        logic(counter1, counter2);
+    }
+    ```
+
+    </details>
 
 ---
 
@@ -649,7 +755,7 @@
 
 ## Backtracking
 
-1. Call the function recursively taking out each element out of the array per iteration (get all permutations)
+1. Get all permutations of values of an array in any order (call the function recursively taking out each element out of the array per iteration)
     <details>
 
     <summary>Code</summary>
@@ -658,7 +764,7 @@
     function approach(array) {
         const permutations = [];
 
-        if (array.length === 1) {
+        if (array.length === 1) { // recursion exit condition
             return [[array[0]]];
         }
 
@@ -687,7 +793,7 @@
 
     </details>
 
-2. Do Depth-first Search of Array (get all unique combinations in any order)
+2. Get all unique combinations of values of an array in any order (do Depth-first Search of Array)
     <details>
 
     <summary>Code</summary>
@@ -722,6 +828,95 @@
 
     </details>
 
+3. Get all unique combinations of values of many arrays in any order (adapt the approach called "Merge two queues overwriting the parent queue")
+    <details>
+
+    <summary>Code</summary>
+
+    __*queue:*__
+
+    ```js
+    function approach(...arrays) {
+        let queue = [[]];
+
+        for (const array of arrays) {
+            const currentQueue = [];
+
+            while (queue.length > 0) {
+                const currentArray = queue.shift();
+
+                for (const element of array) {
+                    currentQueue.push([...currentArray, element]);
+                }
+            }
+
+            queue = currentQueue;
+        }
+
+        logic(queue);
+    }
+    ```
+
+    __*recursion:*__
+
+    ```js
+    function approach(...arrays) {
+        const result = [];
+
+        function backtrack(prefix, offset) {
+            if (offset === arrays.length) {
+                result.push(prefix);
+                return;
+            }
+
+            const array = arrays[offset];
+
+            for (const value of array) {
+                backtrack([...prefix, value], offset + 1);
+            }
+        }
+
+        backtrack([], 0);
+
+        logic(result);
+    }
+    ```
+
+    __Input:__ `['1', '2', '3']`, `['a', 'b', 'c']`, `['*', '#', '$']`
+
+    __Output:__
+    ```
+    [ 1, 'a', '*' ]
+    [ 1, 'a', '#' ]
+    [ 1, 'a', '$' ]
+    [ 1, 'b', '*' ]
+    [ 1, 'b', '#' ]
+    [ 1, 'b', '$' ]
+    [ 1, 'c', '*' ]
+    [ 1, 'c', '#' ]
+    [ 1, 'c', '$' ]
+    [ 2, 'a', '*' ]
+    [ 2, 'a', '#' ]
+    [ 2, 'a', '$' ]
+    [ 2, 'b', '*' ]
+    [ 2, 'b', '#' ]
+    [ 2, 'b', '$' ]
+    [ 2, 'c', '*' ]
+    [ 2, 'c', '#' ]
+    [ 2, 'c', '$' ]
+    [ 3, 'a', '*' ]
+    [ 3, 'a', '#' ]
+    [ 3, 'a', '$' ]
+    [ 3, 'b', '*' ]
+    [ 3, 'b', '#' ]
+    [ 3, 'b', '$' ]
+    [ 3, 'c', '*' ]
+    [ 3, 'c', '#' ]
+    [ 3, 'c', '$' ]
+    ```
+
+    </details>
+
 ---
 
 <!--
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 1cc530e..b2bb80d 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -36,7 +36,6 @@ _Tasks grouped by_ `Task Type`
 
 ### While Loop and Stack or Queue
   - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
-  - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/while-loop-and-stack-or-queue/task.md)
 
 ### Array Relation of Indexes or Values or Indexes to Values
   - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
@@ -66,7 +65,7 @@ _Tasks grouped by_ `Task Type`
 
 ### Backtracking
   - [Combinations](./combinations/task.md)
-  - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/backtracking/task.md)
+  - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)
 
 ### Tabulation
   - [Word Break](./word-break/task.md)
diff --git a/task-archieve/word-break/solution.js b/task-archieve/word-break/solution.js
index aa5ce60..d061c48 100644
--- a/task-archieve/word-break/solution.js
+++ b/task-archieve/word-break/solution.js
@@ -1,2 +1,3 @@
 function wordBreak(s, wordDict) {
+    // TODO: here
 }

From ac6e2f9b7635681f0b43cc21871bb44537d358c8 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 25 Jan 2024 11:58:52 +0300
Subject: [PATCH 049/110] append recursive variation of the merge two queues of
 prefixes approach

---
 .../task.md                                   |  2 +-
 task-archieve/task-type-summary.md            | 31 +++++++++++++++++--
 2 files changed, 29 insertions(+), 4 deletions(-)

diff --git a/task-archieve/letter-combinations-of-a-phone-number/task.md b/task-archieve/letter-combinations-of-a-phone-number/task.md
index 429733d..b7d0fb3 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number/task.md
@@ -47,7 +47,7 @@ Output:
 
 <summary>Task Type</summary>
 
-This a Backtracking Task Type. Think of each button of the phone as an array consisting of 3 elements (for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the approach to get all unique combinations of values of many arrays in any order. In order to do this we need to adapt the approach called "Merge two queues overwriting the parent queue"
+This a Backtracking Task Type. Think of each button of the phone as an array consisting of 3 elements (for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the approach to get all unique combinations of values of many arrays in any order. In order to do this we need to adapt the approach called "Merge two queues of prefixes"
 
 It works in this way:
 1. At the beginning, it is an empty string
diff --git a/task-archieve/task-type-summary.md b/task-archieve/task-type-summary.md
index 0a78389..3a381fb 100644
--- a/task-archieve/task-type-summary.md
+++ b/task-archieve/task-type-summary.md
@@ -363,11 +363,13 @@
 
     </details>
 
-3. Merge two queues overwriting the parent queue
+3. Merge two queues of prefixes
     <details>
 
     <summary>Code</summary>
 
+    __*queue:*__
+
     ```js
     function approach() {
         let queue = [];
@@ -380,7 +382,7 @@
             while (queue.length > 0) {
                 const element = queue.shift();
 
-                currentQueue.push(logic(element));
+                currentQueue.push(...logic(element));
             }
 
             queue = currentQueue;
@@ -388,6 +390,29 @@
     }
     ```
 
+    __*recursion:*__
+
+    ```js
+    function approach(array) {
+        const result = [];
+
+        function backtrack(prefix, offset) {
+            if (offset === array.length) {
+                result.push(prefix);
+                return;
+            }
+
+            const value = array[offset];
+
+            backtrack([...prefix, ...logic(value)], offset + 1);
+        }
+
+        backtrack([], 0);
+
+        logic(result);
+    }
+    ```
+
     </details>
 
 ---
@@ -828,7 +853,7 @@
 
     </details>
 
-3. Get all unique combinations of values of many arrays in any order (adapt the approach called "Merge two queues overwriting the parent queue")
+3. Get all unique combinations of values of many arrays in any order (adapt the approach called "Merge two queues of prefixes")
     <details>
 
     <summary>Code</summary>

From f741e36ae4d7d630e5a80338ba385099b034dc71 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 26 Jan 2024 20:10:58 +0300
Subject: [PATCH 050/110] create the unpack-ip task

---
 task-archieve/README.md                       |  1 +
 .../task.md                                   |  2 +-
 task-archieve/task-type-summary.md            | 10 ++--
 task-archieve/task-type.md                    |  3 +-
 task-archieve/unpack-ip/solution-2.js         | 51 ++++++++++++++++++
 task-archieve/unpack-ip/solution.js           | 50 ++++++++++++++++++
 task-archieve/unpack-ip/task.md               | 52 +++++++++++++++++++
 7 files changed, 162 insertions(+), 7 deletions(-)
 create mode 100644 task-archieve/unpack-ip/solution-2.js
 create mode 100644 task-archieve/unpack-ip/solution.js
 create mode 100644 task-archieve/unpack-ip/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 53aa89e..7b310b8 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -36,4 +36,5 @@ _List of tasks_
 - [Distance Between Bus Stops](./distance-between-bus-stops/one-pointer-one-array/task.md)
 - [Top K Frequent Elements](./top-k-frequent-elements/task.md)
 - [Move Zeroes](./move-zeroes/task.md)
+- [Unpack IP](./unpack-ip/task.md)
 - [Word Break](./word-break/task.md)
diff --git a/task-archieve/letter-combinations-of-a-phone-number/task.md b/task-archieve/letter-combinations-of-a-phone-number/task.md
index b7d0fb3..e9636bf 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number/task.md
@@ -47,7 +47,7 @@ Output:
 
 <summary>Task Type</summary>
 
-This a Backtracking Task Type. Think of each button of the phone as an array consisting of 3 elements (for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the approach to get all unique combinations of values of many arrays in any order. In order to do this we need to adapt the approach called "Merge two queues of prefixes"
+This a Backtracking Task Type. Think of each button of the phone as an array consisting of 3 elements (for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the approach to get all unique combinations of values of many arrays in any order. In order to do this we need to tweak the approach called "Merge two Queues of prefixes" which we have seen in pure form in [this task](../unpack-ip/task.md)
 
 It works in this way:
 1. At the beginning, it is an empty string
diff --git a/task-archieve/task-type-summary.md b/task-archieve/task-type-summary.md
index 3a381fb..1d8a9ed 100644
--- a/task-archieve/task-type-summary.md
+++ b/task-archieve/task-type-summary.md
@@ -323,9 +323,9 @@
 
 ---
 
-## While Loop and Stack or Queue
+## Stack or Queue
 
-1. Do while loop while stack is not empty popping and pushing along the way
+1. Do while loop while Stack is not empty popping and pushing along the way
     <details>
 
     <summary>Code</summary>
@@ -344,7 +344,7 @@
 
     </details>
 
-2. Do while loop while queue is not empty queueing and dequeueing along the way
+2. Do while loop while Queue is not empty queueing and dequeueing along the way
     <details>
 
     <summary>Code</summary>
@@ -363,7 +363,7 @@
 
     </details>
 
-3. Merge two queues of prefixes
+3. Merge two Queues of prefixes
     <details>
 
     <summary>Code</summary>
@@ -853,7 +853,7 @@
 
     </details>
 
-3. Get all unique combinations of values of many arrays in any order (adapt the approach called "Merge two queues of prefixes")
+3. Get all unique combinations of values of many arrays in any order (adapt the approach called "Merge two Queues of prefixes")
     <details>
 
     <summary>Code</summary>
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index b2bb80d..e21484a 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -34,8 +34,9 @@ _Tasks grouped by_ `Task Type`
 ### One Pointer One Array and Stack
   - [Valid Parentheses](./valid-parentheses/task.md)
 
-### While Loop and Stack or Queue
+### Stack or Queue
   - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
+  - [Unpack IP](./unpack-ip/task.md)
 
 ### Array Relation of Indexes or Values or Indexes to Values
   - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
diff --git a/task-archieve/unpack-ip/solution-2.js b/task-archieve/unpack-ip/solution-2.js
new file mode 100644
index 0000000..eabb3ab
--- /dev/null
+++ b/task-archieve/unpack-ip/solution-2.js
@@ -0,0 +1,51 @@
+const IP_OCTET_COUNT = 4;
+
+function unpackIP(ips) {
+    const result = [];
+    const masks = ips.split('.');
+
+    function unpackMask(prefix, offset) {
+        if (offset === IP_OCTET_COUNT) {
+            result.push(prefix);
+            return;
+        }
+
+        const mask = masks[offset];
+        const octets = getOctets(mask);
+
+        for (const octet of octets) {
+            unpackMask([...prefix, octet], offset + 1);
+        }
+    }
+
+    unpackMask([], 0);
+
+    return result.map((value) => value.join('.'));
+}
+
+function getOctets(mask) {
+    return mask.split(',').flatMap((value) => {
+        const range = value.split('-');
+
+        if (range.length === 2) {
+            const values = [];
+
+            let i = range[0];
+            const length = range[1];
+
+            while (i <= length) {
+                values.push(i.toString());
+                i++;
+            }
+
+            return values;
+        }
+
+        return value;
+    });
+}
+
+unpackIP('1.2.3.4');  // ['1.2.3.4']
+unpackIP('1.2.3.4-6');  // ['1.2.3.4', '1.2.3.5', '1.2.3.6']
+unpackIP('1.2.3,6.4');  // ['1.2.3.4', '1.2.6.4']
+unpackIP('1.2.3.1-3,7');  // ['1.2.3.1', '1.2.3.2', '1.2.3.3', '1.2.3.7']
diff --git a/task-archieve/unpack-ip/solution.js b/task-archieve/unpack-ip/solution.js
new file mode 100644
index 0000000..f52580d
--- /dev/null
+++ b/task-archieve/unpack-ip/solution.js
@@ -0,0 +1,50 @@
+function unpackIP(ips) {
+    let queue = [[]];
+    const masks = ips.split('.');
+
+    for (const mask of masks) {
+        const octets = getOctets(mask);
+        const currentQueue = [];
+
+        while (queue.length) {
+            const prefix = queue.shift();
+
+            for (const octet of octets) {
+                const newPrefix = [...prefix, octet];
+
+                currentQueue.push(newPrefix);
+            }
+        }
+
+        queue = currentQueue;
+    }
+
+    return queue.map((value) => value.join('.'));
+}
+
+function getOctets(mask) {
+    return mask.split(',').flatMap((value) => {
+        const range = value.split('-');
+
+        if (range.length === 2) {
+            const values = [];
+
+            let i = range[0];
+            const length = range[1];
+
+            while (i <= length) {
+                values.push(i.toString());
+                i++;
+            }
+
+            return values;
+        }
+
+        return value;
+    });
+}
+
+unpackIP('1.2.3.4');  // ['1.2.3.4']
+unpackIP('1.2.3.4-6');  // ['1.2.3.4', '1.2.3.5', '1.2.3.6']
+unpackIP('1.2.3,6.4');  // ['1.2.3.4', '1.2.6.4']
+unpackIP('1.2.3.1-3,7');  // ['1.2.3.1', '1.2.3.2', '1.2.3.3', '1.2.3.7']
diff --git a/task-archieve/unpack-ip/task.md b/task-archieve/unpack-ip/task.md
new file mode 100644
index 0000000..39046c7
--- /dev/null
+++ b/task-archieve/unpack-ip/task.md
@@ -0,0 +1,52 @@
+# Unpack IP
+
+Given a special IP _mask_ (unrelated to the real life IP masking) write a function that unpacks the mask into the IP addresses it covers. The mask has two special patterns:
+- `N-M` corresponds to a range of octets from `N` to `M` (where `N` or `M` is any number)
+- `N,M` corresponds to a sequence of octets `N` and `M` (where `N` or `M` is any number)
+
+__Example 1:__
+
+```
+Input: '1.2.3.4'
+Output: ['1.2.3.4']
+```
+
+__Example 2:__
+
+```
+Input: '1.2.3.4-6'
+Output: ['1.2.3.4', '1.2.3.5', '1.2.3.6']
+```
+
+__Example 3:__
+
+```
+Input: '1.2.3,6.4'
+Output: ['1.2.3.4', '1.2.6.4']
+```
+
+__Example 4:__
+
+```
+Input: '1.2.3.1-3,7'
+Output: ['1.2.3.1', '1.2.3.2', '1.2.3.3', '1.2.3.7']
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+It is a Queue Task Type. In order to solve the task you should apply the approach where we merge two Queues of prefixes
+
+Basically we use one Queue as a Queue of prefixes each of which we combine with an array of other values and put into another Queue. Then the old Queue is disregarded and the new Queue is used as a Queue of prefixes again in the next iteration
+
+In our task each octet or a series of octets is a prefix. If we encounter a simple octet we append it to the previous octets in the Queue. If we encounter either of the patterns then we append an octet to the previous octets in the Queue several times for each octet of the pattern
+
+__Note:__ the task also has a recursive solution ([solution 2](./solution-2.js)), which is a variation of the approach used here, but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |

From 3f569cd6edaed4b38b323b7b12c4ce6db336a4bb Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 28 Feb 2024 16:29:28 +0300
Subject: [PATCH 051/110] make task-type-summary more spacious

---
 task-archieve/task-type-summary/README.md                  | 7 +++++++
 .../task-type-summary-general.md}                          | 4 +---
 task-archieve/task-type.md                                 | 2 +-
 3 files changed, 9 insertions(+), 4 deletions(-)
 create mode 100644 task-archieve/task-type-summary/README.md
 rename task-archieve/{task-type-summary.md => task-type-summary/task-type-summary-general.md} (97%)

diff --git a/task-archieve/task-type-summary/README.md b/task-archieve/task-type-summary/README.md
new file mode 100644
index 0000000..8cde3d0
--- /dev/null
+++ b/task-archieve/task-type-summary/README.md
@@ -0,0 +1,7 @@
+# Task Type Summary
+
+> :bulb: Feel free to revise all the algorithm examples under the spoiler "Code". There are mysterious functions called `logic()` and `condition()`. These functions are where the business logic of a particular Task lives. Also note that not every Approach can be given a "Code" section spoiler (it is very rare but it happens) for such Approaches solve the corresponding Tasks
+
+## Contents
+
+- [General](./task-type-summary-general.md)
diff --git a/task-archieve/task-type-summary.md b/task-archieve/task-type-summary/task-type-summary-general.md
similarity index 97%
rename from task-archieve/task-type-summary.md
rename to task-archieve/task-type-summary/task-type-summary-general.md
index 1d8a9ed..d23f1fc 100644
--- a/task-archieve/task-type-summary.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -1,6 +1,4 @@
-# Task Type Summary
-
-:bulb: Feel free to revise all the algorithm examples under the spoiler "Code". There are mysterious functions called `logic()` and `condition()`. These functions are where the business logic of a particular Task lives. Also note that not every Approach can be given a "Code" section spoiler (it is very rare but it happens) for such Approaches solve the corresponding Tasks
+# Task Type Summary General
 
 ## One Pointer One Array
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index e21484a..4205468 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -6,7 +6,7 @@ _Tasks grouped by_ `Task Type`
 
 [:bulb: __Extra Documentation__](./extra-documentation.md)
 
-[:bulb: __Task Type Summary__](./task-type-summary.md)
+[:bulb: __Task Type Summary__](./task-type-summary/README.md)
 
 ### One Pointer One Array
   - [Find Peak Element](./find-peak-element/task.md)

From edbfb8af98b565a901fda6b9797cd94ddc71dcd1 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 28 Feb 2024 16:32:08 +0300
Subject: [PATCH 052/110] one little comma

---
 task-archieve/task-type-summary/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/task-type-summary/README.md b/task-archieve/task-type-summary/README.md
index 8cde3d0..00d1b2a 100644
--- a/task-archieve/task-type-summary/README.md
+++ b/task-archieve/task-type-summary/README.md
@@ -1,6 +1,6 @@
 # Task Type Summary
 
-> :bulb: Feel free to revise all the algorithm examples under the spoiler "Code". There are mysterious functions called `logic()` and `condition()`. These functions are where the business logic of a particular Task lives. Also note that not every Approach can be given a "Code" section spoiler (it is very rare but it happens) for such Approaches solve the corresponding Tasks
+> :bulb: Feel free to revise all the algorithm examples under the spoiler "Code". There are mysterious functions called `logic()` and `condition()`. These functions are where the business logic of a particular Task lives. Also note that not every Approach can be given a "Code" section spoiler (it is very rare but it happens), for such Approaches solve the corresponding Tasks
 
 ## Contents
 

From a750ead20f889b9f236fa62785267a4793f91db8 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 28 Feb 2024 19:44:54 +0300
Subject: [PATCH 053/110] refactor extra documentation

---
 task-archieve/extra-documentation.md | 72 +++++++++++++++++++++-------
 1 file changed, 54 insertions(+), 18 deletions(-)

diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
index b628835..f7a535a 100644
--- a/task-archieve/extra-documentation.md
+++ b/task-archieve/extra-documentation.md
@@ -2,54 +2,90 @@
 
 The Task Archieve MyCodewars Project groups algorithms tasks by the common approaches used for solving them and teaches the reader to find the right one of the known approaches and apply it to solve any task at all based on the preception that any known task can be generalized and abstracted away to represent one of the known general approaches that can be used when solving an algorithmic problem. So the Task Archieve is sort of a way of building neuron links in your brain
 
-Any common approach that can be used to solve any task is termed as "Task Type" within The Task Archieve Project. For example there is a Task Type where we use two pointers to iterate an array and solve the problem or there is also a Task Type where we use a HashMap (and there are quite a few tasks that can be solved using a HashMap) and so on
+## Terminology of Task Archieve
 
-On the [front page](./README.md) you can find a list of tasks in the chronological order but by clicking the "_scroll_" ( [:scroll:](./task-type.md) ) icon in the header you may toggle the representation of the tasks menu to the representation where all the tasks are grouped by a specific approach that can be used for solving numerous tasks (or Task Type as it is called here). From this point forward we are going to discuss the structure of this latter "grouped by Task Type" representation
+The Task Archieve is composed of the following entities:
+- Task Type
+- Approach
+- Variation of Approach
+- Task
+- Similar Tasks
+
+### Task
+
+First let's define a Task. It is simply an algorithmic challenge that needs to be solved
+
+### Approach
+
+Approach is a general algorithm that can be applied to solve a Task
+
+For example many Tasks can be solved by iterating an array. Then we say that to iterate an array is an Approach for solving a Task. A Task can be solved if you understand that you need to simply iterate an array (therefore you have found the right Approach for the Task), all that is left to do is to understand the particulars of the logic that go into iterating an array and the solution will manifest itself
+
+Please note that Approaches are very granular in our philosophy here. For example to iterate an array from the beginning of the array to the end is one Approach but to iterate an array from the end to the beginning of the array is another Approach
+
+### Variation of Approach
+
+Just to avoid confusion let's also define what is meant by Variation of Approach
 
-Naturally the first task under any particular Task Type header is going to introduce the reader to the Task Type in question with a detailed description thereof while all the further tasks directly under it build upon previous knowledge. For example the ["Best Time to Buy and Sell Stock"](./best-time-to-buy-and-sell-stock/task.md) task introduces the reader to the "Sliding Window" Task Type going in detail about this approach whereas the ["Summary Ranges"](./summary-ranges/task.md) task is situated right under the "Best Time to Buy and Sell Stock" task and assumes the previous knowledge of the Task Type learned while solving the "Best Time to Buy and Sell Stock" task
+If you look at different Approaches you may find that you can write code that does the same thing (follows the same Approach) in many different ways. For example you can iterate an array by using a for loop _or_ you can iterate an array by using recursion. Then we say that the Approach of iterating an array has two Variations: loop and recursive
 
-While the first task in the list under a specific Task Type in the menu, as we said, introduces the reader to the Task Type, all the further tasks that are a part of the list under the same Task Type introduce the reader to the different "_Variations_" that any given Task Type may have
+### Task Type
 
-Variations are different perhaps somewhat not obvious ways that a Task Type can be applied. For example if we look at the Task Type which entails using two pointers to iterate an array (and thus solve the task) then the 2 possible Variations of the Two Pointers One Array Task Type are going to be: first a Variation where the first pointer moves from start to end and the second pointer moves from end to start and the second Variation is going to be where both of the two pointers move in the same direction
+Task Type is simply a group of similar Approaches that utilize similar mechanics
 
-If any given task can be solved using the same Variation of the Task Type as we have already encounterd then such a task will not be found on the main menu page where we see tasks grouped by Task Type though such a task can be found in the "Similar Tasks" spoiler of the task that it is derived from or on the front page where you can find a list of tasks in the chronological order. Feel free to solve as many "Similar Tasks" as you wish after learning a certain Task Type (or its Variation) to get a solid grasp of the newly learnt concept
+For example we can group all Approaches that operate on an array and use only one pointer to do so into a single Task Type and call this Task Type "One Pointer One Array" for our own convenience of structuring our knowledge
+
+### Similar Tasks
+
+A Similar Task is defined by its relation to some other Task. We call Task `A` a Similar Task to Task `B` if Task `A` can be solved using the same Approach as Task `B`
+
+Thus Similar Tasks are a group of Tasks whose solution is attainable via the same Approach
+
+## Structure of Task Archieve
+
+On the [front page](./README.md) you can find a list of Tasks in the chronological order but by clicking the "_scroll_" ( [:scroll:](./task-type.md) ) icon in the header you may toggle the representation of the Tasks menu to the representation where all the Tasks are grouped by a specific Task Type whereas each Task in the group represents one of the Approaches that can be used for solving numerous Tasks. From this point forward we are going to discuss the structure of this latter ["grouped by Task Type" representation](./task-type.md)
+
+Naturally any Task under any particular Task Type header is going to introduce the reader to some Approach with a detailed description thereof and all the further Tasks directly under it _may_ build upon previous knowledge. For example the ["Best Time to Buy and Sell Stock"](./best-time-to-buy-and-sell-stock/task.md) Task introduces the reader to the "Sliding Window" Approach going in detail about this Approach whereas the ["Summary Ranges"](./summary-ranges/task.md) Task is situated right under the "Best Time to Buy and Sell Stock" Task and assumes the previous knowledge of the Approach learned while solving the "Best Time to Buy and Sell Stock" Task
+
+If any given Task can be solved using the same Approach of the Task Type as we have already encounterd then such a Task will not be found on the main menu page where we see tasks grouped by Task Type though such a Task can be found in the "Similar Tasks" spoiler of the Task that it is derived from or on the front page where you can find a list of Tasks in the chronological order. Feel free to solve as many "Similar Tasks" as you wish after learning a certain Approach to get a solid grasp of the newly learnt concept
 
 Therefore the structure of the main menu page where we see tasks grouped by Task Type can be represented as:
 
 ```
 - Task Type
   - Task
-    * Variation of the Task Type
-    * links to Similar Tasks
+    * Approach
+    * Similar Tasks
 ```
 
-We have looked at the core entities that make up the Task Archieve philosophy and knowledge base
-- "Task" is simply an algorithms problem or challenge that you need to solve
-- "Task Type" is a general approach that can be employed to solve a Task
-- "Variation" is the not too extreme and perhaps not very obvious tweak that we can make to the general Task Type approach to code a solution of the Task
+__Note:__ in the hardest cases different Approaches may call to help each other in a relationship many to many for the solution of a particular Task. Naturally in this case we enlist a Task under the header of the Task Type whose Approach is more crucial to the solution of this Task
 
-__Note:__ in the hardest cases different Task Types (and their Variations of course) may call to help each other in relationship many to many for the solution of a particular Task
+__Note:__ a very useful component of the Task Archieve is indeed [Task Type Summary](./task-type-summary/README.md). Task Type Summary gives a quick summary of all the Approaches and Task Types discovered in the Task Archieve. It is extremely useful if you need to refresh your memory on everything learnt as it also provides very clever and succinct code examples of all the Approaches
 
-The rest is simple: learn all the different Task Types, study them, remember them and solidify your knowledge of all the different Task Types and their Variations by studying Tasks and solving Similar Tasks and finally apply all this knowledge and see yourself cracking some of the hardest algorithmic problems with ease and grace
+The rest is simple: learn all the different Approaches, study them, remember them and solidify your knowledge of all the different Approaches and Task Types by studying Tasks and solving Similar Tasks and finally apply all this knowledge and see yourself cracking some of the hardest algorithmic problems with ease and grace
 
 ## Bonus
 
 ### When you can't solve something
 
-One should never worry regarding the matter or suffer any other kindred bluders so characteristic of a studious mind
+One should never worry regarding the matter or suffer any other kindred blunders so characteristic of a studious mind
 
 If one is stuck at the problem for more than 5 to 10 minutes the best approach to resolving this situation is to search for the solution on the Internet (or someplace more adjacent) and start studying the solution instead of trying in vain to reinvent the wheel
 
 ### General algorithm to find a solution
 
-When looking for a solution to an algorithmic problem follow this flow: first determine which Task Type the problem _might_ be, then which Variation of the Task Type you may need to employ and sooner or later the solution will come up
+When looking for a solution to an algorithmic problem follow this flow: first determine which Task Type the problem _might_ be, then which Approach you may need to employ and then sooner or later the solution will come up
 
 ### The objective of a learner
 
-This here your task is to study. Most of the work is going to be concerned with reading and studying the solutions rather than trying to figure them out. And when you try to solve some challenge you merely observe how your mind reacts to challenges as an experiment and the ability of actually solving the challenges comes automatically as a result of this experiment but you don't concentrate on it so much as on the experiment. So it is about building the mindset of a person who can solve these challenges rather than trying to just solve these challenges because it was prudently observed by the creators of this project that in order to crack the algorithms code interview (unlike Core JS interview for example) one doesn't need to concern themselves with how to solve this particular challenge or that but rather how to build the mindset of a person who knows how to solve these challenges in general. And the same state of mind is to be applied also in the real interview because you do the best job when in this state of mind
+This here your task is to study. Most of the work is going to be concerned with reading and studying the solutions rather than trying to figure them out. And when you try to solve some challenge you merely observe how your mind reacts to challenges as an experiment and the ability of actually solving the challenges comes automatically as a result of this experiment but you don't concentrate on it so much as on the experiment. So it is about building the mindset of a person who can solve these challenges rather than trying to just solve these challenges
+
+It was prudently observed by the creators of the Task Archieve MyCodewars Project that in order to crack the algorithms code interview (unlike Core JS interview for example) one doesn't need to concern themselves with how to solve this particular challenge or other but rather how to build the mindset of a person who knows how to solve these challenges in general. And the same state of mind is to be applied also in the real interview because you do the best job when in this state of mind
 
 ### During a Code Interview
 
-One should first determine the Task Type and the Variation thereof if possible. Once that is accomplished one should write pseudo-code to see if the chosen Task Type and Variation accomplishes the task and discuss it with the interviewer or ask for Hints if necessary. And only after that shall one start writing the actual code for solving the algorithmic problem in question
+One should first determine the Task Type and the Approach thereof if possible. Once that is accomplished one should write pseudo-code to see if the chosen Task Type and Approach solve the Task and discuss it with the interviewer or ask for Hints if necessary. And only after that shall one start writing the actual code for solving the Task in question
+
+Also train your mind to run code in your head as if your mind were a debugger
 
 Oh, and one more thing: stay calm and happy!

From b437c2b1b50930b920004ae5ddbbb200cfc119c9 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 29 Feb 2024 14:34:57 +0300
Subject: [PATCH 054/110] move the helpful comment to README md

---
 task-archieve/task-type-summary/README.md     | 37 +++++++++++++++++++
 .../task-type-summary-general.md              | 34 -----------------
 2 files changed, 37 insertions(+), 34 deletions(-)

diff --git a/task-archieve/task-type-summary/README.md b/task-archieve/task-type-summary/README.md
index 00d1b2a..21abb5f 100644
--- a/task-archieve/task-type-summary/README.md
+++ b/task-archieve/task-type-summary/README.md
@@ -5,3 +5,40 @@
 ## Contents
 
 - [General](./task-type-summary-general.md)
+
+<!--
+## Task Type
+
+1. Approach
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function TODO() {
+    }
+    ```
+
+    __Input:__ TODO
+
+    __Output:__ TODO
+
+    </details>
+-->
+
+<!--
+function approach(array) {
+}
+
+------------
+
+function logic(...args) {
+    console.log(...args);
+}
+
+function condition() {
+    return Math.random() < 0.3;
+}
+
+approach([1, 2, 3, 4, 5, 6, 7], ['a', 'b', 'c']);
+-->
diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/task-type-summary-general.md
index d23f1fc..cca03b9 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -941,37 +941,3 @@
     </details>
 
 ---
-
-<!--
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function TODO() {
-    }
-    ```
-
-    __Input:__ TODO
-
-    __Output:__ TODO
-
-    </details>
--->
-
-<!--
-function approach(array) {
-}
-
-------------
-
-function logic(...args) {
-    console.log(...args);
-}
-
-function condition() {
-    return Math.random() < 0.3;
-}
-
-approach([1, 2, 3, 4, 5, 6, 7], ['a', 'b', 'c']);
--->

From 0540defcc6198e8fdacd9a954a64d42aee3ce0bc Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 1 Mar 2024 15:14:27 +0300
Subject: [PATCH 055/110] create template for task-archieve stuff

---
 task-archieve/README.md                     |  2 ++
 task-archieve/task-type-summary/README.md   | 37 --------------------
 task-archieve/task-type.md                  |  2 --
 task-archieve/template/README.md            | 11 ++++++
 task-archieve/template/similar-task.md      | 32 +++++++++++++++++
 task-archieve/template/task-type-summary.md | 36 +++++++++++++++++++
 task-archieve/template/task.md              | 38 +++++++++++++++++++++
 7 files changed, 119 insertions(+), 39 deletions(-)
 create mode 100644 task-archieve/template/README.md
 create mode 100644 task-archieve/template/similar-task.md
 create mode 100644 task-archieve/template/task-type-summary.md
 create mode 100644 task-archieve/template/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 7b310b8..22243cf 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -6,6 +6,8 @@ _List of tasks_
 
 [:bulb: __Extra Documentation__](./extra-documentation.md)
 
+[:ledger: _Task Template_](./template/README.md)
+
 - [Find Peak Element](./find-peak-element/task.md)
 - [Container With Most Water](./most-water/task.md)
 - [Zigzag Conversion](./zigzag-conversion/task.md)
diff --git a/task-archieve/task-type-summary/README.md b/task-archieve/task-type-summary/README.md
index 21abb5f..00d1b2a 100644
--- a/task-archieve/task-type-summary/README.md
+++ b/task-archieve/task-type-summary/README.md
@@ -5,40 +5,3 @@
 ## Contents
 
 - [General](./task-type-summary-general.md)
-
-<!--
-## Task Type
-
-1. Approach
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function TODO() {
-    }
-    ```
-
-    __Input:__ TODO
-
-    __Output:__ TODO
-
-    </details>
--->
-
-<!--
-function approach(array) {
-}
-
-------------
-
-function logic(...args) {
-    console.log(...args);
-}
-
-function condition() {
-    return Math.random() < 0.3;
-}
-
-approach([1, 2, 3, 4, 5, 6, 7], ['a', 'b', 'c']);
--->
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 4205468..2f1d530 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -4,8 +4,6 @@ _Tasks grouped by_ `Task Type`
 
 ---
 
-[:bulb: __Extra Documentation__](./extra-documentation.md)
-
 [:bulb: __Task Type Summary__](./task-type-summary/README.md)
 
 ### One Pointer One Array
diff --git a/task-archieve/template/README.md b/task-archieve/template/README.md
new file mode 100644
index 0000000..b719080
--- /dev/null
+++ b/task-archieve/template/README.md
@@ -0,0 +1,11 @@
+# Task Template
+
+- [Task](./task.md)
+- [Similar Task](./similar-task.md)
+- [Task Type Summary](./task-type-summary.md)
+
+### Checklist
+
+- [x] `README.md`
+- [x] `task-type.md`
+- [x] `task-type-summary`
diff --git a/task-archieve/template/similar-task.md b/task-archieve/template/similar-task.md
new file mode 100644
index 0000000..664119c
--- /dev/null
+++ b/task-archieve/template/similar-task.md
@@ -0,0 +1,32 @@
+# TODO
+
+TODO: description
+
+<details>
+
+<summary>Hint</summary>
+
+TODO: optional: hint description
+
+</details>
+
+<details>
+
+<summary>Approach</summary>
+
+- `TODO: Approach`
+
+</details>
+
+<details>
+
+<summary>Task Type</summary>
+
+It is a TODO Task Type. In order to solve the Task you should apply the Approach "TODO" just like [this task](TODO: link)
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/template/task-type-summary.md b/task-archieve/template/task-type-summary.md
new file mode 100644
index 0000000..e79ba04
--- /dev/null
+++ b/task-archieve/template/task-type-summary.md
@@ -0,0 +1,36 @@
+## Task Type
+
+1. Approach
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach() {
+    }
+    ```
+
+    __Input:__ TODO
+
+    __Output:__ TODO
+
+    </details>
+
+---
+
+<!--
+function approach(array) {
+}
+
+------------
+
+function logic(...args) {
+    console.log(...args);
+}
+
+function condition() {
+    return Math.random() < 0.3;
+}
+
+approach([1, 2, 3, 4, 5, 6, 7], ['a', 'b', 'c']);
+-->
diff --git a/task-archieve/template/task.md b/task-archieve/template/task.md
new file mode 100644
index 0000000..42b61ac
--- /dev/null
+++ b/task-archieve/template/task.md
@@ -0,0 +1,38 @@
+# TODO
+
+TODO: description
+
+<details>
+
+<summary>Hint</summary>
+
+TODO: optional: hint description
+
+</details>
+
+<details>
+
+<summary>Approach</summary>
+
+- `TODO: Approach`
+
+</details>
+
+<details>
+
+<summary>Task Type</summary>
+
+It is a TODO Task Type. In order to solve the Task you should apply the Approach "TODO"
+
+TODO: explanation of Approach
+
+TODO: optional: example of Approach
+
+TODO: optional: how to apply the Approach to the Task
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |

From e1908a94cc2a2203956cd487bd23e46ecb86b2af Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 1 Mar 2024 17:12:40 +0300
Subject: [PATCH 056/110] task-archieve beautiful navigation

---
 task-archieve/extra-documentation.md                  |  5 +++++
 task-archieve/task-type-summary/README.md             |  5 +++++
 .../task-type-summary/task-type-summary-general.md    |  3 +++
 task-archieve/template/README.md                      | 11 ++++++++---
 task-archieve/template/task-type-summary.md           |  3 +++
 5 files changed, 24 insertions(+), 3 deletions(-)

diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
index f7a535a..80e504b 100644
--- a/task-archieve/extra-documentation.md
+++ b/task-archieve/extra-documentation.md
@@ -89,3 +89,8 @@ One should first determine the Task Type and the Approach thereof if possible. O
 Also train your mind to run code in your head as if your mind were a debugger
 
 Oh, and one more thing: stay calm and happy!
+
+---
+
+| [:arrow_left: back](./README.md) |
+| :---: |
diff --git a/task-archieve/task-type-summary/README.md b/task-archieve/task-type-summary/README.md
index 00d1b2a..7c41268 100644
--- a/task-archieve/task-type-summary/README.md
+++ b/task-archieve/task-type-summary/README.md
@@ -5,3 +5,8 @@
 ## Contents
 
 - [General](./task-type-summary-general.md)
+
+---
+
+| [:arrow_left: back](../task-type.md) |
+| :---: |
diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/task-type-summary-general.md
index cca03b9..3cd7cdc 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -941,3 +941,6 @@
     </details>
 
 ---
+
+| [:arrow_left: back](./README.md) |
+| :---: |
diff --git a/task-archieve/template/README.md b/task-archieve/template/README.md
index b719080..d951d2c 100644
--- a/task-archieve/template/README.md
+++ b/task-archieve/template/README.md
@@ -6,6 +6,11 @@
 
 ### Checklist
 
-- [x] `README.md`
-- [x] `task-type.md`
-- [x] `task-type-summary`
+- [x] [__README.md__](../README.md)
+- [x] [__task-type.md__](../task-type.md)
+- [x] [__task-type-summary__](../task-type-summary/README.md)
+
+---
+
+| [:arrow_left: back](../task-type.md) |
+| :---: |
diff --git a/task-archieve/template/task-type-summary.md b/task-archieve/template/task-type-summary.md
index e79ba04..25f3214 100644
--- a/task-archieve/template/task-type-summary.md
+++ b/task-archieve/template/task-type-summary.md
@@ -18,6 +18,9 @@
 
 ---
 
+| [:arrow_left: back](./README.md) |
+| :---: |
+
 <!--
 function approach(array) {
 }

From e0da52cece7fbba42f99175130e17c4f2d840396 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 1 Mar 2024 17:16:03 +0300
Subject: [PATCH 057/110] update task-archieve beautiful navigation

---
 task-archieve/template/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/template/README.md b/task-archieve/template/README.md
index d951d2c..93853a6 100644
--- a/task-archieve/template/README.md
+++ b/task-archieve/template/README.md
@@ -12,5 +12,5 @@
 
 ---
 
-| [:arrow_left: back](../task-type.md) |
+| [:arrow_left: back](../README.md) |
 | :---: |

From 9d2734baa935c933fb76fb7e07b74aea39755acd Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 5 Mar 2024 17:21:18 +0300
Subject: [PATCH 058/110] big refactor of tasks description

---
 task-archieve/README.md                       |   2 +-
 .../best-time-to-buy-and-sell-stock/task.md   |  13 +++-
 task-archieve/climb-stairs/task.md            |  12 +++-
 task-archieve/combinations/task.md            |  14 +++-
 task-archieve/contiguous-array/task.md        |  12 +++-
 .../task.md                                   |  54 ---------------
 .../{one-pointer-one-array => }/diagram-1.jpg | Bin
 .../{one-pointer-one-array => }/diagram-2.jpg | Bin
 .../{one-pointer-one-array => }/diagram-3.jpg | Bin
 .../one-pointer-one-array/solution.js         |  25 -------
 .../one-pointer-one-array/task.md             |  52 ---------------
 .../solution.js => solution-2.js}             |   0
 .../distance-between-bus-stops/solution.js    |  25 +++++++
 .../distance-between-bus-stops/task.md        |  62 ++++++++++++++++++
 task-archieve/find-peak-element/task.md       |  20 ++++--
 task-archieve/flatten-nonrecursive-v2/task.md |  14 +++-
 task-archieve/fruit-into-baskets/task.md      |  14 +++-
 task-archieve/intersection-intervals/task.md  |  14 +++-
 .../task.md                                   |  12 +++-
 .../longest-letter-subsequence/task.md        |  16 ++++-
 task-archieve/longest-sequence-of-1s/task.md  |  15 ++++-
 .../task.md                                   |  14 +++-
 task-archieve/matrix-diagonal-sort/task.md    |  10 ++-
 .../missing-number-sorted-array/task.md       |   8 +++
 task-archieve/missing-number/task.md          |  12 +++-
 task-archieve/most-water/task.md              |  18 +++++
 task-archieve/move-zeroes/task.md             |  11 +++-
 task-archieve/partition-labels/task.md        |  29 ++++----
 task-archieve/remove-duplicates-v2/task.md    |  13 +++-
 task-archieve/single-number/task.md           |  12 +++-
 task-archieve/sort-colors/task.md             |  10 +++
 task-archieve/sort-letters-two-arrays/task.md |  12 +++-
 task-archieve/summary-ranges/task.md          |  13 +++-
 .../task-type-summary-general.md              |  16 ++---
 task-archieve/task-type.md                    |   4 +-
 task-archieve/template/similar-task.md        |   6 +-
 task-archieve/template/task.md                |   6 +-
 task-archieve/top-k-frequent-elements/task.md |  12 +++-
 task-archieve/unpack-ip/task.md               |  12 +++-
 task-archieve/valid-parentheses/task.md       |  12 +++-
 task-archieve/word-break/solution.js          |   1 -
 task-archieve/word-break/task.md              |   8 +++
 task-archieve/word-search/task.md             |  10 +++
 task-archieve/zigzag-conversion/task.md       |  14 +++-
 44 files changed, 439 insertions(+), 200 deletions(-)
 delete mode 100644 task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
 rename task-archieve/distance-between-bus-stops/{one-pointer-one-array => }/diagram-1.jpg (100%)
 rename task-archieve/distance-between-bus-stops/{one-pointer-one-array => }/diagram-2.jpg (100%)
 rename task-archieve/distance-between-bus-stops/{one-pointer-one-array => }/diagram-3.jpg (100%)
 delete mode 100644 task-archieve/distance-between-bus-stops/one-pointer-one-array/solution.js
 delete mode 100644 task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
 rename task-archieve/distance-between-bus-stops/{array-math-operation-on-all-elements/solution.js => solution-2.js} (100%)
 create mode 100644 task-archieve/distance-between-bus-stops/solution.js
 create mode 100644 task-archieve/distance-between-bus-stops/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 22243cf..8bd586c 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -35,7 +35,7 @@ _List of tasks_
 - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)
 - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
 - [Missing Number](./missing-number/task.md)
-- [Distance Between Bus Stops](./distance-between-bus-stops/one-pointer-one-array/task.md)
+- [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
 - [Top K Frequent Elements](./top-k-frequent-elements/task.md)
 - [Move Zeroes](./move-zeroes/task.md)
 - [Unpack IP](./unpack-ip/task.md)
diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index 685c5de..c143ab3 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -25,13 +25,24 @@ Explanation: In this case, no transactions are done and the max profit = 0
 
 <details>
 
+<summary>Approach</summary>
+
+- `Sliding Window`
+  - `Right is ahead of left but window size is dynamic`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
+It is a "Two Pointers One Array" Task Type. In order to solve the Task you should apply the Approach "Sliding Window". Right is ahead of left but window size is dynamic
+
 This is a task for two pointers, particularly when they both move left to right (like in [this](../longest-letter-subsequence/task.md) task) and _not_ from end or start (like in [this](../most-water/task.md) task). Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have left pointer behind right pointer and per iteration we either increment left pointer or right pointer or per iteration we increment both left and right pointers is called "_Sliding Window_"
 
 You should also note that with Sliding Window technique you don't have to always increment left pointer by one or right pointer by one: the pointers can be set to any index they want so long as left is behind right. Indeed left pointer may even go to the same position as right pointer while right pointer increments by one to be ahead of left pointer. As you can see this Sliding Window we have been talking about may shrink and expand at will
 
-__Note:__ [this task](../longest-letter-subsequence/task.md) is likewise Sliding Window but since Sliding Window Task Type is also Two Pointers Task Type it is listed in that category as well
+__Note:__ [this task](../longest-letter-subsequence/task.md) likewise uses the Sliding Window Approach
 
 __Note:__ you can read more about the "Sliding Window" approach in [this article](../literature/sliding-window.md)
 
diff --git a/task-archieve/climb-stairs/task.md b/task-archieve/climb-stairs/task.md
index 18f80cc..d0ef4a7 100644
--- a/task-archieve/climb-stairs/task.md
+++ b/task-archieve/climb-stairs/task.md
@@ -29,9 +29,19 @@ __Note:__ you need to write a function that returns _the number of ways to climb
 
 <details>
 
+<summary>Approach</summary>
+
+- `Use Fibonacci Sequence`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-This is a numbers task type. You need to use the [Fibonacci Sequence](../../1\)%20Task%20Challanges.md#12-fibonacci) to solve it
+It is a "Numbers Math" Task Type. In order to solve the Task you should apply the Approach "Use Fibonacci Sequence"
+
+You need to use the [Fibonacci Sequence](../../1\)%20Task%20Challanges.md#12-fibonacci) to solve it
 
 </details>
 
diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
index 07b8dac..9a28b0a 100644
--- a/task-archieve/combinations/task.md
+++ b/task-archieve/combinations/task.md
@@ -23,9 +23,19 @@ Explanation: There is 1 choose 1 = 1 total combination
 
 <details>
 
+<summary>Approach</summary>
+
+- `Get all unique combinations of values of an array in any order (do Depth-first Search of Array)`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__ (read the Hint for what this means). What we need to do here is get all unique combinations of values of an array in any order which is a common approach for solving tasks of Backtracking Task Type
+It is a "Backtracking" Task Type. In order to solve the Task you should apply the Approach "Get all unique combinations of values of an array in any order"
+
+Like we said this task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__ (read the Hint for what this means). What we need to do here is get all unique combinations of values of an array in any order
 
 </details>
 
@@ -35,6 +45,8 @@ This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-
 
 This task is for __*Recursive Backtracking*__. Note that unlike the ["Permutations of a String" task](../../2\)%20Task%20Challanges.md#28-permutations-of-a-string), in this task we are supposed to return the output in __any order__, also we want _combinations_ of values of an array and not _permutations_ like in the "Permutations of a String" task (so basically we are going to combine values of an array instead of re-arranging them the difference being that `[1,2]` and `[2,1]` are different permutations but these are the same combination of the elements). So for this task the order of the combinations doesn't matter. When the order of the combinations doesn't matter you should apply a backtracking algorithm that is actually different from the one we saw before in the "Permutations of a String" task in order not to come up with duplicates (i.e., `[1,2]` and `[2,1]`)
 
+Basically the "Permutations of a String" task uses the Approach "Get all permutations of values of an array in any order" while in this particular task we need to use the Approach "Get all unique combinations of values of an array in any order"
+
 While in the "Permutations of a String" task we would iterate the array and take out one element out of the array and get the rest of the permutations by recursively backtracking thereby always splitting the array into smaller and smaller chunks what we need to do here is somewhat the opposite though similar: we need to apply the function that by recursively backtracking builds back the array into bigger and bigger chunks (appending elements on the right to the elements on the left)
 
 This is what the output of the function should look like:
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index ee5036e..e232ed2 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -20,11 +20,19 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
 <details>
 
+<summary>Approach</summary>
+
+- `Create and use one or more HashMaps as you iterate an array`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-It is a "One Pointer One Array and HashMap" Task Type. We can use HashMap to solve this one (except it is not so obvious at first)
+It is a "One Pointer One Array and HashMap" Task Type. We can use HashMap to solve this one (except it is not so obvious at first). The Approach we use here is called "Create and use one or more HashMaps as you iterate an array"
 
-__Note:__ the solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the "One Pointer One Array and HashMap" Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial!). However _this_ "Contiguous Array" task is more like "One Pointer One Array and HashMap + Counter" Task Type though we can say that it is still "One Pointer One Array and HashMap" Task Type because we use HashMap to solve this task just like in the "Remove Duplicate From An Array" task
+__Note:__ the solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the "One Pointer One Array and HashMap" Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial)
 
 __Note:__ you can read more about using HashMap to solve tasks in [this article](../literature/hash-map.md) as this and many other tasks requires this knowledge
 
diff --git a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md b/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
deleted file mode 100644
index 0e461df..0000000
--- a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/task.md
+++ /dev/null
@@ -1,54 +0,0 @@
-# Distance Between Bus Stops
-
-A bus has `n` stops numbered from `0` to `n - 1` that form a circle. We know the distance between all pairs of neighboring stops where `distance[i]` is the distance between the stops number `i` and `(i + 1) % n`
-
-The bus goes along both directions i.e. clockwise and counterclockwise
-
-Return the shortest distance between the given `start` and `destination` stops
-
-__Example 1:__
-
-<img src=../one-pointer-one-array/diagram-1.jpg width=300 />
-
-```
-Input: distance = [1,2,3,4], start = 0, destination = 1
-Output: 1
-Explanation: Distance between 0 and 1 is 1 or 9, minimum is 1
-```
-
-__Example 2:__
-
-<img src=../one-pointer-one-array/diagram-2.jpg width=300 />
-
-```
-Input: distance = [1,2,3,4], start = 0, destination = 2
-Output: 3
-Explanation: Distance between 0 and 2 is 3 or 7, minimum is 3
-```
-
-__Example 3:__
-
-<img src=../one-pointer-one-array/diagram-3.jpg width=300 />
-
-```
-Input: distance = [1,2,3,4], start = 0, destination = 3
-Output: 4
-Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-It can be treated as a Array Math Operation on All Elements Task Type where you need to do math or bitwise operation first on one part of the array and then on another part of of the array
-
-First of all make sure that `start` is always _before_ `destination` (swap them if not so). Then you need to sum all the elements between `start` and `destination` (this is your sum going clockwise, math operation first on one part of the array), after this get the total sum of all the elements of the array and extract the sum of going clockwise from this total sum (this is your sum going counterclockwise, math operation on another part of of the array). Then return the lesser sum
-
-__Note:__ there is also a more intuitive solution if you treat this task as [One Pointer One Array Task Type](../one-pointer-one-array/task.md)
-
-</details>
-
----
-
-| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-1.jpg b/task-archieve/distance-between-bus-stops/diagram-1.jpg
similarity index 100%
rename from task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-1.jpg
rename to task-archieve/distance-between-bus-stops/diagram-1.jpg
diff --git a/task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-2.jpg b/task-archieve/distance-between-bus-stops/diagram-2.jpg
similarity index 100%
rename from task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-2.jpg
rename to task-archieve/distance-between-bus-stops/diagram-2.jpg
diff --git a/task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-3.jpg b/task-archieve/distance-between-bus-stops/diagram-3.jpg
similarity index 100%
rename from task-archieve/distance-between-bus-stops/one-pointer-one-array/diagram-3.jpg
rename to task-archieve/distance-between-bus-stops/diagram-3.jpg
diff --git a/task-archieve/distance-between-bus-stops/one-pointer-one-array/solution.js b/task-archieve/distance-between-bus-stops/one-pointer-one-array/solution.js
deleted file mode 100644
index e66f8aa..0000000
--- a/task-archieve/distance-between-bus-stops/one-pointer-one-array/solution.js
+++ /dev/null
@@ -1,25 +0,0 @@
-function distanceBetweenBusStops(distance, start, destination) {
-    let clockwise = 0;
-    let counterclockwise = 0;
-
-    let i = start;
-
-    while (i !== destination) {
-       clockwise += distance[i];
-       i = (i + 1) % distance.length;
-   }
-
-   i = start;
-
-   while (i !== destination) {
-       i -= 1;
-
-       if (i < 0) {
-           i = distance.length - 1;
-       }
-
-       counterclockwise += distance[i];
-   }
-
-   return Math.min(clockwise, counterclockwise);
-}
diff --git a/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md b/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
deleted file mode 100644
index 87a99ed..0000000
--- a/task-archieve/distance-between-bus-stops/one-pointer-one-array/task.md
+++ /dev/null
@@ -1,52 +0,0 @@
-# Distance Between Bus Stops
-
-A bus has `n` stops numbered from `0` to `n - 1` that form a circle. We know the distance between all pairs of neighboring stops where `distance[i]` is the distance between the stops number `i` and `(i + 1) % n`
-
-The bus goes along both directions i.e. clockwise and counterclockwise
-
-Return the shortest distance between the given `start` and `destination` stops
-
-__Example 1:__
-
-<img src=./diagram-1.jpg width=300 />
-
-```
-Input: distance = [1,2,3,4], start = 0, destination = 1
-Output: 1
-Explanation: Distance between 0 and 1 is 1 or 9, minimum is 1
-```
-
-__Example 2:__
-
-<img src=./diagram-2.jpg width=300 />
-
-```
-Input: distance = [1,2,3,4], start = 0, destination = 2
-Output: 3
-Explanation: Distance between 0 and 2 is 3 or 7, minimum is 3
-```
-
-__Example 3:__
-
-<img src=./diagram-3.jpg width=300 />
-
-```
-Input: distance = [1,2,3,4], start = 0, destination = 3
-Output: 4
-Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-It is a One Pointer One Array Task Type. To solve it first iterate the array and count the sum and then iterate the array in reverse (meaning counterclockwise) and count the sum. Overlap to the beginning or end of the array when necessary. Then return the lesser sum
-
-__Note:__ there is also a less intuitive solution if you treat this task as [Array Math Operation on All Elements Task Type](../array-math-operation-on-all-elements/task.md)
-
-</details>
-
----
-
-| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/solution.js b/task-archieve/distance-between-bus-stops/solution-2.js
similarity index 100%
rename from task-archieve/distance-between-bus-stops/array-math-operation-on-all-elements/solution.js
rename to task-archieve/distance-between-bus-stops/solution-2.js
diff --git a/task-archieve/distance-between-bus-stops/solution.js b/task-archieve/distance-between-bus-stops/solution.js
new file mode 100644
index 0000000..7d6b02f
--- /dev/null
+++ b/task-archieve/distance-between-bus-stops/solution.js
@@ -0,0 +1,25 @@
+function distanceBetweenBusStops(distance, start, destination) {
+    let clockwise = 0;
+    let counterclockwise = 0;
+
+    let i = start;
+
+    while (i !== destination) {
+        clockwise += distance[i];
+        i = (i + 1) % distance.length;
+    }
+
+    i = start;
+
+    while (i !== destination) {
+        i -= 1;
+
+        if (i < 0) {
+            i = distance.length - 1;
+        }
+
+        counterclockwise += distance[i];
+    }
+
+    return Math.min(clockwise, counterclockwise);
+}
diff --git a/task-archieve/distance-between-bus-stops/task.md b/task-archieve/distance-between-bus-stops/task.md
new file mode 100644
index 0000000..883de66
--- /dev/null
+++ b/task-archieve/distance-between-bus-stops/task.md
@@ -0,0 +1,62 @@
+# Distance Between Bus Stops
+
+A bus has `n` stops numbered from `0` to `n - 1` that form a circle. We know the distance between all pairs of neighboring stops where `distance[i]` is the distance between the stops number `i` and `(i + 1) % n`
+
+The bus goes along both directions i.e. clockwise and counterclockwise
+
+Return the shortest distance between the given `start` and `destination` stops
+
+__Example 1:__
+
+<img src=./diagram-1.jpg width=300 />
+
+```
+Input: distance = [1,2,3,4], start = 0, destination = 1
+Output: 1
+Explanation: Distance between 0 and 1 is 1 or 9, minimum is 1
+```
+
+__Example 2:__
+
+<img src=./diagram-2.jpg width=300 />
+
+```
+Input: distance = [1,2,3,4], start = 0, destination = 2
+Output: 3
+Explanation: Distance between 0 and 2 is 3 or 7, minimum is 3
+```
+
+__Example 3:__
+
+<img src=./diagram-3.jpg width=300 />
+
+```
+Input: distance = [1,2,3,4], start = 0, destination = 3
+Output: 4
+Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
+```
+
+<details>
+
+<summary>Approach</summary>
+
+- `Iterate an array`
+- `Iterate an array in reverse`
+- _or_ `Do math or bitwise operation first on one part of the array and then on another part of of the array`
+
+</details>
+
+<details>
+
+<summary>Task Type</summary>
+
+It is a "One Pointer One Array" Task Type. To solve it first iterate the array and count the sum and then iterate the array in reverse (meaning counterclockwise) and count the sum. Overlap to the beginning or end of the array when necessary. Then return the lesser sum. Thus we utilize the two Approaches "Iterate an array" and "Iterate an array in reverse" in order to solve the Task ([solution 1](./solution.js))
+
+This Task can also be treated as "Array Math Operation on All Elements" Task Type and solved using the Approach "Do math or bitwise operation first on one part of the array and then on another part of of the array" ([solution 2](./solution-2.js)). First of all make sure that `start` is always _before_ `destination` (swap them if not so). Then you need to sum all the elements between `start` and `destination` (this is your sum going clockwise, math operation first on one part of the array), after this get the total sum of all the elements of the array and extract the sum of going clockwise from this total sum (this is your sum going counterclockwise, math operation on another part of of the array). Then return the lesser sum
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
index 7883e92..8dfd095 100644
--- a/task-archieve/find-peak-element/task.md
+++ b/task-archieve/find-peak-element/task.md
@@ -24,9 +24,21 @@ Explanation: Your function can return either index number 1 where the peak eleme
 
 <details>
 
+<summary>Approach</summary>
+
+- `Iterate an array`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-This is simply a type of task where we iterate an array using one pointer and get the solution
+It is a "One Pointer One Array" Task Type. In order to solve the Task you should apply the Approach "Iterate an array"
+
+The Approach is simply that we iterate an array using one pointer and get the solution
+
+To solve this particular task we need to compare the element to its neighbors
 
 __Note:__ "pointer" is when we save number to variable like `i` and use `i` as an index of the array and increment or decrement `i` per iteration, the `i` variable is thus called a _pointer_
 
@@ -34,11 +46,11 @@ __Note:__ just to be clear, "iteration" is the code that runs inside the braces
 
 __Note:__ just to be clear, when we say "iterate an array" it means go over all the elements of the array (for example in the for-loop)
 
-We have already seen a similar task called [Love Triangle](../../cheatsheet/love-triangles.js). To solve that task we also simply iterate an array (and do certain things as we iterate it of course)
+We have already seen a kindred task called [Love Triangle](../../cheatsheet/love-triangles.js). To solve that task we also simply iterate an array (and do certain things as we iterate it of course)
 
-__Note:__ in the Love Triangle task as we iterate the array we also employ a technique where we use _values_ of elements of the array as _indexes_ (in order to check if there is a cycle)
+__Note:__ in the Love Triangle task as we iterate the array we employ the Approach "Use values as indexes" where we use _values_ of elements of the array as _indexes_ (in order to check if there is a cycle)
 
-__Note:__ we have already seen a lot of tasks of the One Pointer One Array type:
+__Note:__ we have already seen a lot of tasks of the One Pointer One Array Task Type:
 - [Palindrome](../../1\)%20Task%20Challanges.md#3-palindrome)
 - [Stringo Reverso](../../1\)%20Task%20Challanges.md#17-stringo-reverso)
 - [Reverse Word Order](../../1\)%20Task%20Challanges.md#18-reverse-word-order)
diff --git a/task-archieve/flatten-nonrecursive-v2/task.md b/task-archieve/flatten-nonrecursive-v2/task.md
index 56eb379..7b3d063 100644
--- a/task-archieve/flatten-nonrecursive-v2/task.md
+++ b/task-archieve/flatten-nonrecursive-v2/task.md
@@ -14,11 +14,21 @@ Also you cannot use recursion because an array can be very big and nested very d
 
 <details>
 
+<summary>Approach</summary>
+
+- `Do while loop while Stack is not empty popping and pushing along the way`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-You can achieve the non-recursive solution by using a simple "stack and while loop" technique but at least one way of solving this means pushing elements into the stack in reverse order
+It is a "Stack or Queue" Task Type. In order to solve the Task you should apply the Approach "Do while loop while Stack is not empty popping and pushing along the way"
+
+The key to solving this particular Task is to see that you also need to push elements into the Stack in reverse order
 
-__Note:__ the same techique of using a stack or a queue and a while loop was used to perform the depth-first search or breadth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L113) or [here](../../corejs-codejam/task/07-yield-tasks.js#L147) (alternatively [here](../../snippets/Data%20Structures/binary-search-tree.js#L222))
+__Note:__ the same Approach of using a Stack or a Queue and a while loop was used to perform the depth-first search or breadth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L113) or [here](../../corejs-codejam/task/07-yield-tasks.js#L147) (alternatively [here](../../snippets/Data%20Structures/binary-search-tree.js#L222))
 
 </details>
 
diff --git a/task-archieve/fruit-into-baskets/task.md b/task-archieve/fruit-into-baskets/task.md
index bfeebc1..1a56f7f 100644
--- a/task-archieve/fruit-into-baskets/task.md
+++ b/task-archieve/fruit-into-baskets/task.md
@@ -44,11 +44,19 @@ If we had started at the first tree, we would only pick from trees [1,2]
 
 <details>
 
-<summary>Task Type</summary>
+<summary>Approach</summary>
+
+- `Sliding Window`
+  - `Right is ahead of left but window size is dynamic`
+- `Create and use one or more HashMaps as you iterate an array`
+
+</details>
 
-Sliding Window + HashMap
+<details>
+
+<summary>Task Type</summary>
 
-Just like [this task](../longest-letter-subsequence/task.md)
+We combine the Approaches of "Sliding Window" (right is ahead of left but window size is dynamic) and "Create and use one or more HashMaps as you iterate an array" to solve this Task just like [this task](../longest-letter-subsequence/task.md)
 
 </details>
 
diff --git a/task-archieve/intersection-intervals/task.md b/task-archieve/intersection-intervals/task.md
index 77a30b2..c8766fd 100644
--- a/task-archieve/intersection-intervals/task.md
+++ b/task-archieve/intersection-intervals/task.md
@@ -18,11 +18,21 @@ user2 [(10, 14), (21, 22)]
 
 <details>
 
+<summary>Approach</summary>
+
+- `Two pointers of two arrays increase like in Merge Sort`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable, `i` is for the 1st array and `j` is for the 2nd array) to iterate __two__ arrays _specially_ for example by increasing / decrasing either one or the other or both pointers per iteration. The part of the "Merge Sort" algorithm that checks two sub-arrays uses similar mechanics ([link](../../snippets/algorithms/merge-sort.js#L12))
+It is a "Two Pointers Two Arrays" Task Type. In order to solve the Task you should apply the Approach "Two pointers of two arrays increase like in Merge Sort"
+
+It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable, `i` is for the 1st array and `j` is for the 2nd array) to iterate __two__ arrays _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. The part of the "Merge Sort" algorithm that checks two sub-arrays uses similar mechanics ([link](../../snippets/algorithms/merge-sort.js#L12))
 
-__Note:__ ["Merge Two Sorted Arrays" task](../../1\)%20Task%20Challanges.md#15-merge-two-sorted-arrays) is the most classic example of a task that uses the approach of solving tasks that has been showcased in this particular task (where we have two pointers that point to two arrays and we increment either one pointer or the other, read above)
+__Note:__ ["Merge Two Sorted Arrays" task](../../1\)%20Task%20Challanges.md#15-merge-two-sorted-arrays) is the most classic example of a task that uses the Approach "Two pointers of two arrays increase like in Merge Sort"
 
 </details>
 
diff --git a/task-archieve/letter-combinations-of-a-phone-number/task.md b/task-archieve/letter-combinations-of-a-phone-number/task.md
index e9636bf..10a9167 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number/task.md
@@ -45,9 +45,17 @@ Output:
 
 <details>
 
+<summary>Approach</summary>
+
+- `Get all unique combinations of values of many arrays in any order`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-This a Backtracking Task Type. Think of each button of the phone as an array consisting of 3 elements (for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the approach to get all unique combinations of values of many arrays in any order. In order to do this we need to tweak the approach called "Merge two Queues of prefixes" which we have seen in pure form in [this task](../unpack-ip/task.md)
+This a "Backtracking" Task Type. Think of each button of the phone as an array consisting of 3 elements (for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the Approach "Get all unique combinations of values of many arrays in any order". In order to do this we need to tweak the Approach called "Merge two Queues of prefixes" which we have seen in pure form in [this task](../unpack-ip/task.md)
 
 It works in this way:
 1. At the beginning, it is an empty string
@@ -58,7 +66,7 @@ Here is a visual representation of the algorithm:
 
 <img src=./letter-combinations-queue.gif width=400 />
 
-__Note:__ you can also get all unique combinations of values of many arrays in any order by using the recursive variation of the approach ([solution 3](./solution-3.js)) but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
+__Note:__ you can also get all unique combinations of values of many arrays in any order by using the recursive variation of the Approach ([solution 3](./solution-3.js)) but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
 
 </details>
 
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 4507fa5..1a492b6 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -18,13 +18,23 @@ longestStr('ababababccddddddd', 3); // L=17 N=4 K=3 result: 10
 
 <details>
 
+<summary>Approach</summary>
+
+- `Sliding Window`
+  - `Right is ahead of left but window size is dynamic`
+- `Create and use one or more HashMaps as you iterate an array`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable) to iterate an array _specially_ for example by increasing / decrasing either one or the other or both pointers per iteration. Here is [another task](../most-water/task.md) whose solution uses similar mechanics
+We combine the Approaches of "Sliding Window" (right is ahead of left but window size is dynamic) and "Create and use one or more HashMaps as you iterate an array" to solve this Task
 
-But for this particular task you may also need to enable the _power of hashmap_
+It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable) to iterate an array _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. Here is [another task](../most-water/task.md) whose solution uses similar mechanics. But for this particular task you may also need to enable the _power of HashMap_ and the _Sliding Window_ technique
 
-__Note:__ the approach used in this task is called "_Sliding Window_". The particulars of this approach are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) (same Task Type) but you can also read more about the "Sliding Window" approach in [this article](../literature/sliding-window.md)
+__Note:__ one of the Approaches used in this task is called "_Sliding Window_". The particulars of this Approach are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) but you can also read more about the "Sliding Window" Approach in [this article](../literature/sliding-window.md)
 
 __Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md) or simply read [this article](../literature/hash-map.md)
 
diff --git a/task-archieve/longest-sequence-of-1s/task.md b/task-archieve/longest-sequence-of-1s/task.md
index 9e43db4..ca463a5 100644
--- a/task-archieve/longest-sequence-of-1s/task.md
+++ b/task-archieve/longest-sequence-of-1s/task.md
@@ -1,7 +1,6 @@
 # Longest sequence of 1's
 
-Your task is to implement algorithm that finds the longest sequence of 1's in array consisting of 1's and 0's. For this task you also have to
-exclude at least 1 element out of the array, for example:
+Your task is to implement algorithm that finds the longest sequence of 1's in array consisting of 1's and 0's. For this task you also have to exclude at least 1 element out of the array, for example:
 
 ```js
 countOnes([1, 0]); // 1
@@ -12,10 +11,22 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
 <details>
 
+<summary>Approach</summary>
+
+- `Iterate an array keeping one or more counters`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
+It is a "One Pointer One Array and One or More Counters" Task Type. In order to solve the Task you should apply the Approach "Iterate an array keeping one or more counters"
+
 It is one of those tasks where you use one pointer to iterate the array as well as one or more counters that we may or may not reset sometimes
 
+The key to the solution of this particular task is to reset one of the counters once we encounter a 0 (as we presume we should exclude only 0 if we are to find the longest sequence of 1's)
+
 __Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration (and if we say "reset the counter" it means assign to the counter the value that it had before we started iterating the array)
 
 __Note:__ we have already seen a somewhat simpler task where we used counters to solve it. The task is called ["3 Greatest Integers in an Array"](../../2\)%20Task%20Challanges.md#30-3-greatest-integers-in-an-array)
diff --git a/task-archieve/longest-substring-without-repeating-characters/task.md b/task-archieve/longest-substring-without-repeating-characters/task.md
index ff254ef..bf7d83c 100644
--- a/task-archieve/longest-substring-without-repeating-characters/task.md
+++ b/task-archieve/longest-substring-without-repeating-characters/task.md
@@ -29,11 +29,19 @@ Notice that the answer must be a substring, "pwke" is a subsequence and not a su
 
 <details>
 
-<summary>Task Type</summary>
+<summary>Approach</summary>
+
+- `Sliding Window`
+  - `Right is ahead of left but window size is dynamic`
+- `Create and use one or more HashMaps as you iterate an array`
+
+</details>
 
-Sliding Window + HashMap
+<details>
+
+<summary>Task Type</summary>
 
-Just like [this task](../longest-letter-subsequence/task.md)
+We combine the Approaches of "Sliding Window" (right is ahead of left but window size is dynamic) and "Create and use one or more HashMaps as you iterate an array" to solve this Task just like [this task](../longest-letter-subsequence/task.md)
 
 </details>
 
diff --git a/task-archieve/matrix-diagonal-sort/task.md b/task-archieve/matrix-diagonal-sort/task.md
index b7b53bc..5840d76 100644
--- a/task-archieve/matrix-diagonal-sort/task.md
+++ b/task-archieve/matrix-diagonal-sort/task.md
@@ -35,9 +35,17 @@ Here is an example:
 
 <details>
 
+<summary>Approach</summary>
+
+- `Iterate a matrix`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-This is a Matrix type task using Matrix mechanics or you could also say that you need to look at the _relation_ between the indexes of the array like [here](../zigzag-conversion/task.md)
+This is a Matrix Task Type using Matrix mechanics or you could also say that you need to look at the _relation_ between the indexes of the array like [here](../zigzag-conversion/task.md)
 
 </details>
 
diff --git a/task-archieve/missing-number-sorted-array/task.md b/task-archieve/missing-number-sorted-array/task.md
index 1b41124..14cc2bd 100644
--- a/task-archieve/missing-number-sorted-array/task.md
+++ b/task-archieve/missing-number-sorted-array/task.md
@@ -28,6 +28,14 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
 <details>
 
+<summary>Approach</summary>
+
+- `Find the relation of the indexes to values of the array`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
 This is a classic task where you need to look at and analyze the _relation_ between the indexes of the array, or the _relation_ between the values of the array, or the _relation_ of the indexes to the values of the array. Basically it could mean something like this: see what index (or value) the element of the array had and what index (or value) the element of the array should have in the solution and find the relation between these two
diff --git a/task-archieve/missing-number/task.md b/task-archieve/missing-number/task.md
index 5c59159..e7887f6 100644
--- a/task-archieve/missing-number/task.md
+++ b/task-archieve/missing-number/task.md
@@ -28,6 +28,14 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
 <details>
 
+<summary>Approach</summary>
+
+- `Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
 We can assume this task to be a "One Pointer One Array and HashMap" Task Type and solve it this way using a HashMap:
@@ -51,9 +59,9 @@ function missingNumber(nums) {
 }
 ```
 
-But we can solve it even more effectively if we treat it as "Array Math Operation on All Elements" Task Type and apply XOR operation for all the elements of the array similar to [that task](../single-number/task.md) (we XOR `0` by all the elements of the array and save the result to some _counter_). However for this particular task you may need to apply the Math Operation (in our case XOR) _twice_: first for all the elements of the array, then to the same _counter_ for all the elements that _should be_ in the array (similar to the HashMap solution above)
+But we can solve it even more effectively if we treat it as "Array Math Operation on All Elements" Task Type and apply XOR operation for all the elements of the array similar to [that task](../single-number/task.md) (we XOR `0` by all the elements of the array and save the result to some _counter_). However for this particular task you may need to apply the Math Operation (in our case XOR) _twice_: first for all the elements of the array, then to the same _counter_ for all the elements that _should be_ in the array (similar to the HashMap solution above). Thus you need to utilize the Approach "Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array"
 
-__Note:__ this task can also be solved not only by doing a XOR for all the elements of the array but also by applying a Math formula for all the elements of the array. You can find this solution [here](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array)
+__Note:__ this task can also be solved not only by doing a XOR but also by applying a Math formula for all the elements of the array. You can find this solution [here](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array)
 
 </details>
 
diff --git a/task-archieve/most-water/task.md b/task-archieve/most-water/task.md
index bad6d85..4a19bf9 100644
--- a/task-archieve/most-water/task.md
+++ b/task-archieve/most-water/task.md
@@ -55,6 +55,24 @@ Start with the maximum width container and go to a shorter width container if th
 
 </details>
 
+<details>
+
+<summary>Approach</summary>
+
+- `Two pointers go from start and end until some condition`
+
+</details>
+
+<details>
+
+<summary>Task Type</summary>
+
+It is a "Two Pointers One Array" Task Type. In order to solve the Task you should apply the Approach "Two pointers go from start and end until some condition"
+
+For the solution of this particular task your left pointer going from the start to the end and your right pointer going from the end to the start are going to form a rectangular space. You need to note the size of that space formed by the left and right pointers and keep increasing either the left pointer or the right one depending on which one has the smaller height. This allows us to try and find the biggest rectangular space that can be formed by two pointers and thus attain the solution. The business logic of this Task is somewhat related to geometry by its nature
+
+</details>
+
 ---
 
 | [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
diff --git a/task-archieve/move-zeroes/task.md b/task-archieve/move-zeroes/task.md
index 16a16b8..49d858c 100644
--- a/task-archieve/move-zeroes/task.md
+++ b/task-archieve/move-zeroes/task.md
@@ -20,9 +20,18 @@ Output: [0]
 
 <details>
 
+<summary>Approach</summary>
+
+- `Overwrite elements of one or more arrays`
+  - `The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-It is In-Place Swap and Overwrite Task Type where we overwrite elements of the array. To solve it we need to use 2 pointers: the first pointer goes through the array and if the value is not `0` then it writes this value to where the second pointer is and increments the second pointer. In the end start at the second pointer and write zeroes after it until the end of the array. This task uses the same approach as [this task](../remove-duplicates-v2/task.md)
+It is a "In-Place Swap and Overwrite" Task Type. In order to solve the Task you should apply the Approach "Overwrite elements of one or more arrays" (The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer) just like [this task](../remove-duplicates-v2/task.md)
 
 </details>
 
diff --git a/task-archieve/partition-labels/task.md b/task-archieve/partition-labels/task.md
index 2ff5589..7acc466 100644
--- a/task-archieve/partition-labels/task.md
+++ b/task-archieve/partition-labels/task.md
@@ -26,26 +26,33 @@ Output: [10]
 
 <details>
 
+<summary>Approach</summary>
+
+- `Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way`
+- _or_ `Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
 This is a "One Pointer One Array and HashMap" Task Type
 
-We have already seen an example of this Task Type when we were solving the ["Contiguous Array" task](../contiguous-array/task.md). But this task is a tar bit more complicated because in the ["Contiguous Array" task](../contiguous-array/task.md) we simply created a HashMap and it helped us solve the task even while we were iterating the input array (or the input data, to be precise) but in _this_ task we can see the Variation (or the Subtype if you will) of the "One Pointer One Array and HashMap" Task Type where we are supposed to _create one or more HashMaps and then do something with all the new data_. Now what does this mean? It means that we need to iterate the array for the first time to create one or more HashMaps and then there are exactly two things that we can do:
+We have already seen an example of this Task Type when we were solving the ["Contiguous Array" task](../contiguous-array/task.md). But this task is a tar bit more complicated because in the ["Contiguous Array" task](../contiguous-array/task.md) we simply created a HashMap and it helped us solve the task even while we were iterating the input array (or the input data, to be precise) but in _this_ task we need to use a different and a bit more complex but very similar Approach to attain the solution. Here are supposed to _create one or more HashMaps and then do something with all the new data_. Now what does this mean? It means that we need to iterate the array for the first time to create one or more HashMaps and then there are exactly two things that we can do:
 
-1. iterate in some way the one or more HashMaps that we created during the first pass (__Variation 1__)
+1. iterate in some way the one or more HashMaps that we created during the first pass ( __Approach 1__ )
 
-2. iterate the input array once again using the knowledge from the one or more HashMaps that we created during the first pass (__Variation 2__)
+2. iterate the input array once again using the knowledge from the one or more HashMaps that we created during the first pass ( __Approach 2__ )
 
 And thus the solution should be revealed
 
-This task is kind of interesting in that we can solve it using either one or the other of the two Variations explained above! In other words we can solve this task _either_ by iterating the HashMap that we create _or_ by iterating the input array once again using the HashMap
+This Task is kind of interesting in that we can solve this Task using either one or the other of the two Approaches mentioned above! In other words we can solve this task _either_ by iterating the HashMap that we create _or_ by iterating the input array once again using the HashMap
 
 See the Hints below if you get stuck
 
 __Note:__ we say "array" here while the function accepts a string. The logic behind this is that we iterate the string the same way as an array and therefore the input string is like an array for us
 
-__Note:__ it is not always that we can solve the task by following either one of the two Variations explained above. For example we have seen the ["Tickets Orderizer" task](../../2\)%20Task%20Challanges.md#37-tickets-orderizer) before and the only way to solve it is to create a HashMap and then iterate the HashMap _specifically_, therefore following Variation 1 but we cannot solve the "Tickets Orderizer" task following Variation 2
-
 </details>
 
 <details>
@@ -56,7 +63,7 @@ One thing is for sure, we need to create a HashMap where we map the letters to t
 
 <img src=image.png width=550 />
 
-Then follow one of the two Variations of the "One Pointer One Array and HashMap" Task Type that we learned in the Task Type spoiler above
+Then follow one of the two Approaches of the "One Pointer One Array and HashMap" Task Type that we learned in the Task Type spoiler above
 
 </details>
 
@@ -64,9 +71,9 @@ Then follow one of the two Variations of the "One Pointer One Array and HashMap"
 
 <summary>Hint 2</summary>
 
-As we said there are two approaches that we can use to solve this task (the two Variations of the "One Pointer One Array and HashMap" Task Type that we learned in the Task Type spoiler above)
+As we said there are two Approaches that we can use to solve this Task
 
-__Create HashMap and iterate it__
+__Create HashMap and iterate it ( Approach 1 )__
 
 We need to create a HashMap like we have seen in Hint 1 above
 
@@ -76,13 +83,13 @@ In order to solve the task we need to iterate the values of the HashMap and calc
 
 For example the first 3 letters `a`, `b` and `c` form 3 intervals that do overlap: their intervals `[0,8]`, `[1,5]` and `[4,7]` respectively form a contiguous interval of __`[0,8]`__ (smallest letter index and greatest letter index). And if you look further the next four letters `d`, `e`, `f`, and `g` form 4 intervals that do overlap: their intervals `[9,14]`, `[10,15]`, `[11]` and `[13]` respectively form a contiguous interval of __`[9,15]`__ (smallest letter index and greatest letter index). And we can clearly see that the contiguous interval `[0,8]` of `a`, `b`, `c` does _not_ overlap with the contiguous interval `[9,15]` of `d`, `e`, `f`, `g` and therefore we can separate the letters `a`, `b`, `c` into one group and the letters `d`, `e`, `f`, `g` into another group. The lengths of their groups can be determined by the start and end of their contiguous intervals: from `0` to `8` = 9 letters for the first group, from `9` to `15` = 7 letters for the second group, and so on until we have counted all the letters
 
-__Create HashMap and iterate the input array once again__
+__Create HashMap and iterate the input array once again ( Approach 2 )__
 
 This solution is a bit less obvious than the first one
 
 First of all we need to create a HashMap like we have seen in Hint 1 above
 
-Then we need to iterate the input array once again and as we do that this time we should be able to get from the HashMap the _last_ index where any given letter we are looking at has been encountered. As we iterate we should thus keep a counter of the greatest _last_ index where the letters we have already iterated have been encountered. What is crucial to notice for solving this task in this way (Variation 2) is that if we are able to find a letter whose index equals to the greatest _last_ index we have seen thus far then we can separate all the letters that we have seen before into a group as per the requirements of the task. Then it should likewise be somewhat trivial to calculate the _length_ of the group we have thus separated
+Then we need to iterate the input array once again and as we do that this time we should be able to get from the HashMap the _last_ index where any given letter we are looking at has been encountered. As we iterate we should thus keep a counter of the greatest _last_ index where the letters we have already iterated have been encountered. What is crucial to notice for solving this task in this way is that if we are able to find a letter whose index equals to the greatest _last_ index we have seen thus far then we can separate all the letters that we have seen before into a group as per the requirements of the task. Then it should likewise be somewhat trivial to calculate the _length_ of the group we have thus separated
 
 </details>
 
diff --git a/task-archieve/remove-duplicates-v2/task.md b/task-archieve/remove-duplicates-v2/task.md
index 484f246..ec22de5 100644
--- a/task-archieve/remove-duplicates-v2/task.md
+++ b/task-archieve/remove-duplicates-v2/task.md
@@ -28,11 +28,20 @@ It does not matter what you leave beyond the returned k (hence they are undersco
 
 <details>
 
+<summary>Approach</summary>
+
+- `Overwrite elements of one or more arrays`
+  - `The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-This is an in-place algorithm just like we have seen in [that task](../sort-letters-two-arrays/task.md) except instead of swapping the elements we are going to be _overwriting_ the elements of the array with new values
+It is a "In-Place Swap and Overwrite" Task Type. In order to solve the Task you should apply the Approach "Overwrite elements of one or more arrays". The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer
 
-__Note:__ we also additionally utilize the "Two Pointers One Array" Task Type technique to help us solve this but the key is overwriting elements
+This is an in-place algorithm just like we have seen in [that task](../sort-letters-two-arrays/task.md) except instead of swapping the elements we are going to be _overwriting_ the elements of the array with new values
 
 So in other words it is the same algorithm type as [that task](../sort-letters-two-arrays/task.md) except in this task we can see its counterpart type where we are overwriting elements of an array instead of swapping elements of an array
 
diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
index 735c8dc..a9146dc 100644
--- a/task-archieve/single-number/task.md
+++ b/task-archieve/single-number/task.md
@@ -6,6 +6,14 @@ You must implement a solution with a linear runtime complexity and use only cons
 
 <details>
 
+<summary>Approach</summary>
+
+- `Do math or bitwise operation on all the elements of the array`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
 We can assume this task to be a "One Pointer One Array and HashMap" Task Type and solve it this way: as we iterate through the `nums` array we store the elements encountered and check if we find them again while iteration continues and the element we didn't find twice is the missing element:
@@ -30,7 +38,9 @@ But this HashMap approach uses `O(n)` extra memory. We can optimize it if we tre
 
 "Array Math Operation on All Elements" Task Type is the type of task where we do some Math operation on all elements of the array and the result of this operation on all the elements is the result of solving the task. For example we saw the [Find a Missing Number in an Unsorted Array](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array) task earlier. In order to solve that task we summed all the elements of the array and then extracted the sum we got from the sum we wanted and were thus able to find the missing element using constant `O(1)` extra memory
 
-Let's see how we can use the "Array Math Operation on All Elements" approach to solve this task. XOR of any two numbers gives the difference of bits as `1` and the same bits as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits. In order to find the missing element we simply need to XOR all the elements of the array
+Let's see how we can use the Approach "Do math or bitwise operation on all the elements of the array" of the "Array Math Operation on All Elements" Task Type to solve this Task
+
+XOR of any two numbers gives the difference of bits as `1` and the same bits as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits. In order to find the missing element we simply need to XOR all the elements of the array
 
 This way we will always get the single missing element because all the same numbers will evaluate to `0` and `0 ^ missing_number = missing_number`
 
diff --git a/task-archieve/sort-colors/task.md b/task-archieve/sort-colors/task.md
index 692fcec..35c57d6 100644
--- a/task-archieve/sort-colors/task.md
+++ b/task-archieve/sort-colors/task.md
@@ -22,6 +22,16 @@ Output: [0,1,2]
 
 <details>
 
+<summary>Approach</summary>
+
+- `Overwrite elements of one or more arrays`
+  - `Iterate the array and get some information. Then based on this information iterate the array again overwriting its values`
+- _or_ `Swap elements of one or more arrays`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
 This is a Task Type for in-place swap and overwrite of the array. We have already seen an example where we need to do in-place _swap_ [here](../sort-letters-two-arrays/task.md) and an example where we need to do in-place _overwrite_ [here](../remove-duplicates-v2/task.md)
diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
index ece388b..eab74fc 100644
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ b/task-archieve/sort-letters-two-arrays/task.md
@@ -52,8 +52,18 @@ To solve this task you need to simply _sort_ the elements of the 2nd array (the
 
 <details>
 
+<summary>Approach</summary>
+
+- `Swap elements of one or more arrays`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
+It is a "In-Place Swap and Overwrite" Task Type. In order to solve the Task you should apply the Approach "Swap elements of one or more arrays"
+
 We sort in place the 2nd array but together with the elements of the 2nd array we also swap the elements of the 1st array. There is a whole type of tasks that can be solved by swapping the elements of the array in a clever way (or in our case we swap the elements of the two arrays simultaneously)
 
 Here is another example of a solution for these kind of tasks with `O(n)` complexity though it doesn't solve this particular task:
@@ -67,7 +77,7 @@ function sort(array, order) {
 }
 ```
 
-__Note:__ this example of a solution above (which we said doesn't solve this particular task) doesn't swap but rather overwrites elements of the array. The Task Type we are studying in this particular task is called "In-Place Swap and Overwrite". To solve this particular task you need to swap elements instead of overwriting them and for the overwrite variant of this Task Type feel free to check out the [sibling task](../remove-duplicates-v2/task.md)
+__Note:__ this example of a solution above (which we said doesn't solve this particular task, the reason for it is what we saw in Hint 1) doesn't swap but rather overwrites elements of the array. The Approach we are studying in this particular task is called "Swap elements of one or more arrays". To solve this particular task you need to swap elements instead of overwriting them and for the overwrite Approach of this Task Type feel free to check out the [sibling task](../remove-duplicates-v2/task.md)
 
 __Note:__ we have already seen the ["Push Zeros Case" task](../../2\)%20Task%20Challanges.md#29-push-zeros-case) where we used the In-Place Swap type of algorithm to solve it
 
diff --git a/task-archieve/summary-ranges/task.md b/task-archieve/summary-ranges/task.md
index 9e22845..0a11b5a 100644
--- a/task-archieve/summary-ranges/task.md
+++ b/task-archieve/summary-ranges/task.md
@@ -36,11 +36,18 @@ Explanation: The ranges are:
 
 <details>
 
-<summary>Task Type</summary>
+<summary>Approach</summary>
+
+- `Sliding Window`
+  - `Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)`
+
+</details>
 
-Sliding Window. We have seen this technique in [this task](../best-time-to-buy-and-sell-stock/task.md)
+<details>
+
+<summary>Task Type</summary>
 
-Except one rather crucial Variation of this Task Type is that with this Sliding Window technique as we call it here the right and the left pointers may be looking at _the same element_ of the array. This intricacy is utilized here somewhat to get a really elegant solution
+It is a "Two Pointers One Array" Task Type. In order to solve the Task you should apply the Approach "Sliding Window". Except one rather crucial difference of the Approach used here from the Sliding Window Approach we have seen in [this Task](../best-time-to-buy-and-sell-stock/task.md) is that the right and the left pointers may be looking at _the same element_ of the array. This intricacy is utilized here somewhat to get a really elegant solution
 
 __Note:__ read more about Sliding Window in [this article](../literature/sliding-window.md)
 
diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/task-type-summary-general.md
index 3cd7cdc..3ec0b8b 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -21,41 +21,41 @@
 
     </details>
 
-2. Use values as indexes
+2. Iterate an array in reverse
     <details>
 
     <summary>Code</summary>
 
     ```js
     function approach(array) {
-        for (let i = 0; i < array.length; i++) {
-            logic(array[array[i]]);
+        for (let i = array.length - 1; i >= 0; i--) {
+            logic(array[i], i);
         }
     }
     ```
 
     __Input:__ `[1, 2, 3]`
 
-    __Output:__ `2`, `3`, `undefined`
+    __Output:__ value: `3`, `2`, `1`, index: `2`, `1`, `0`
 
     </details>
 
-3. Iterate an array in reverse
+3. Use values as indexes
     <details>
 
     <summary>Code</summary>
 
     ```js
     function approach(array) {
-        for (let i = array.length - 1; i >= 0; i--) {
-            logic(array[i], i);
+        for (let i = 0; i < array.length; i++) {
+            logic(array[array[i]]);
         }
     }
     ```
 
     __Input:__ `[1, 2, 3]`
 
-    __Output:__ value: `3`, `2`, `1`, index: `2`, `1`, `0`
+    __Output:__ `2`, `3`, `undefined`
 
     </details>
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 2f1d530..0800a16 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -8,7 +8,7 @@ _Tasks grouped by_ `Task Type`
 
 ### One Pointer One Array
   - [Find Peak Element](./find-peak-element/task.md)
-  - [Distance Between Bus Stops](./distance-between-bus-stops/one-pointer-one-array/task.md)
+  - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
 
 ### Two Pointers Two Arrays
   - [Intersection of intervals](./intersection-intervals/task.md)
@@ -43,7 +43,7 @@ _Tasks grouped by_ `Task Type`
 ### Array Math Operation on All Elements
   - [Single Number](./single-number/task.md)
   - [Missing Number](./missing-number/task.md)
-  - [Distance Between Bus Stops](./distance-between-bus-stops/array-math-operation-on-all-elements/task.md)
+  - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
 
 ### In-Place Swap and Overwrite
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
diff --git a/task-archieve/template/similar-task.md b/task-archieve/template/similar-task.md
index 664119c..8497dad 100644
--- a/task-archieve/template/similar-task.md
+++ b/task-archieve/template/similar-task.md
@@ -15,6 +15,8 @@ TODO: optional: hint description
 <summary>Approach</summary>
 
 - `TODO: Approach`
+  - `TODO: subtype`
+- _or_ `TODO: alternative Approach`
 
 </details>
 
@@ -22,7 +24,9 @@ TODO: optional: hint description
 
 <summary>Task Type</summary>
 
-It is a TODO Task Type. In order to solve the Task you should apply the Approach "TODO" just like [this task](TODO: link)
+It is a "TODO" Task Type. In order to solve the Task you should apply the Approach "TODO" just like [this task](TODO: link)
+<!-- It is a "TODO" Task Type. In order to solve the Task you should apply the Approach "TODO" (TODO: subtype) just like [this task](TODO: link) -->
+<!-- We combine the Approaches of "TODO" and "TODO" to solve this Task just like [this task](TODO: link) -->
 
 </details>
 
diff --git a/task-archieve/template/task.md b/task-archieve/template/task.md
index 42b61ac..52feb6f 100644
--- a/task-archieve/template/task.md
+++ b/task-archieve/template/task.md
@@ -15,6 +15,8 @@ TODO: optional: hint description
 <summary>Approach</summary>
 
 - `TODO: Approach`
+  - `TODO: subtype`
+- _or_ `TODO: alternative Approach`
 
 </details>
 
@@ -22,7 +24,9 @@ TODO: optional: hint description
 
 <summary>Task Type</summary>
 
-It is a TODO Task Type. In order to solve the Task you should apply the Approach "TODO"
+It is a "TODO" Task Type. In order to solve the Task you should apply the Approach "TODO"
+<!-- It is a "TODO" Task Type. In order to solve the Task you should apply the Approach "TODO" (TODO: subtype) -->
+<!-- We combine the Approaches of "TODO" and "TODO" to solve this Task -->
 
 TODO: explanation of Approach
 
diff --git a/task-archieve/top-k-frequent-elements/task.md b/task-archieve/top-k-frequent-elements/task.md
index ddad3a4..a20052c 100644
--- a/task-archieve/top-k-frequent-elements/task.md
+++ b/task-archieve/top-k-frequent-elements/task.md
@@ -18,11 +18,19 @@ Output: [1]
 
 <details>
 
+<summary>Approach</summary>
+
+- `Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-It is a One Pointer One Array and HashMap Task Type. In order to solve it you need to create HashMap and iterate this HashMap in some way similarly to [this task](../partition-labels/task.md) except here we need to _sort_ this HashMap we get
+It is a "One Pointer One Array and HashMap" Task Type. In order to solve it you need to create HashMap and iterate this HashMap in some way similarly to [this task](../partition-labels/task.md) except here we need to _sort_ this HashMap we get
 
-Just don't be fooled by the mention of "any order" in the task description into thinking it is a Task Type for Backtracking Depth-first Search of Array
+Just don't be fooled by the mention of "any order" in the task description into thinking it is a Task Type for Backtracking
 
 </details>
 
diff --git a/task-archieve/unpack-ip/task.md b/task-archieve/unpack-ip/task.md
index 39046c7..17fc099 100644
--- a/task-archieve/unpack-ip/task.md
+++ b/task-archieve/unpack-ip/task.md
@@ -34,15 +34,23 @@ Output: ['1.2.3.1', '1.2.3.2', '1.2.3.3', '1.2.3.7']
 
 <details>
 
+<summary>Approach</summary>
+
+- `Merge two Queues of prefixes`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-It is a Queue Task Type. In order to solve the task you should apply the approach where we merge two Queues of prefixes
+It is a "Stack or Queue" Task Type. In order to solve the task you should apply the Approach "Merge two Queues of prefixes"
 
 Basically we use one Queue as a Queue of prefixes each of which we combine with an array of other values and put into another Queue. Then the old Queue is disregarded and the new Queue is used as a Queue of prefixes again in the next iteration
 
 In our task each octet or a series of octets is a prefix. If we encounter a simple octet we append it to the previous octets in the Queue. If we encounter either of the patterns then we append an octet to the previous octets in the Queue several times for each octet of the pattern
 
-__Note:__ the task also has a recursive solution ([solution 2](./solution-2.js)), which is a variation of the approach used here, but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
+__Note:__ the task also has a recursive solution ([solution 2](./solution-2.js)), which is merely a Variation of the Approach used here, but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
 
 </details>
 
diff --git a/task-archieve/valid-parentheses/task.md b/task-archieve/valid-parentheses/task.md
index 66d41cb..93695fe 100644
--- a/task-archieve/valid-parentheses/task.md
+++ b/task-archieve/valid-parentheses/task.md
@@ -30,9 +30,17 @@ Output: false
 
 <details>
 
+<summary>Approach</summary>
+
+- `Create and use one or more Stacks as you iterate an array`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-It is a One Pointer One Array and _Stack_ Task Type. So you need to iterate a string as an array and use a stack in order to solve the task
+It is a "One Pointer One Array and _Stack_" Task Type. So you need to iterate a string as an array and use a Stack in order to solve the task
 
 </details>
 
@@ -40,7 +48,7 @@ It is a One Pointer One Array and _Stack_ Task Type. So you need to iterate a st
 
 <summary>Hint</summary>
 
-If you encounter an opening bracket then you need to push it to the stack. If you encounter a closing bracket then you need to pop off the stack (only make sure that you pop the same type of opening bracket as you found a closing bracket otherwise the brackets are placed incorrectly)
+If you encounter an opening bracket then you need to push it to the Stack. If you encounter a closing bracket then you need to pop off the Stack (only make sure that you pop the same type of opening bracket as you found a closing bracket otherwise the brackets are placed incorrectly)
 
 __Note:__ we have already given a try to solving this task [here](../../cheatsheet/brackets/README.md)
 
diff --git a/task-archieve/word-break/solution.js b/task-archieve/word-break/solution.js
index d061c48..aa5ce60 100644
--- a/task-archieve/word-break/solution.js
+++ b/task-archieve/word-break/solution.js
@@ -1,3 +1,2 @@
 function wordBreak(s, wordDict) {
-    // TODO: here
 }
diff --git a/task-archieve/word-break/task.md b/task-archieve/word-break/task.md
index 2c9b2b1..193340f 100644
--- a/task-archieve/word-break/task.md
+++ b/task-archieve/word-break/task.md
@@ -30,6 +30,14 @@ Output: false
 
 <details>
 
+<summary>Approach</summary>
+
+- ``
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
 </details>
diff --git a/task-archieve/word-search/task.md b/task-archieve/word-search/task.md
index deeaf91..0ca658c 100644
--- a/task-archieve/word-search/task.md
+++ b/task-archieve/word-search/task.md
@@ -33,8 +33,18 @@ Output: false
 
 <details>
 
+<summary>Approach</summary>
+
+- `Call the function recursively and see if it solves the puzzle`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
+It is a "Check if Puzzle is Solvable" Task Type. In order to solve the Task you should apply the Approach "Call the function recursively and see if it solves the puzzle"
+
 This task is similar to [Sudoku solver](../../cheatsheet/sudoku.js) where you call a function to see if you can solve the game starting at a certain position as you iterate through the board
 
 In this task we should see if a letter matches the one in the word and if so recursively check its neighbors as well as marking the letters that we looked at
diff --git a/task-archieve/zigzag-conversion/task.md b/task-archieve/zigzag-conversion/task.md
index 5ec494d..e25438f 100644
--- a/task-archieve/zigzag-conversion/task.md
+++ b/task-archieve/zigzag-conversion/task.md
@@ -45,9 +45,21 @@ __Output:__ `"A"`
 
 <details>
 
+<summary>Approach</summary>
+
+- `Find the relation between the indexes of the array`
+
+</details>
+
+<details>
+
 <summary>Task Type</summary>
 
-To solve this task you need to analyze the _relation_ between the indexes of the characters in the string
+It is a "Array Relation of Indexes or Values or Indexes to Values" Task Type. In order to solve the Task you should apply the Approach "Find the relation between the indexes of the array"
+
+To solve this Task you need to analyze the _relation_ between the indexes of the characters of the string treating the string as an array
+
+The spoiler below entitled "Pseudo code" has some of the logic of that _relation_ depicted in a form that suggests the idea of the solution
 
 </details>
 

From 96731f2294e6329721e27d7bbe5878bc52490a88 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Sat, 9 Mar 2024 15:38:14 +0300
Subject: [PATCH 059/110] bring the template to the right structure

---
 task-archieve/template/similar-task.md | 17 ++++-----
 task-archieve/template/task.md         | 50 +++++++++++++++++++-------
 2 files changed, 44 insertions(+), 23 deletions(-)

diff --git a/task-archieve/template/similar-task.md b/task-archieve/template/similar-task.md
index 8497dad..d7ce63c 100644
--- a/task-archieve/template/similar-task.md
+++ b/task-archieve/template/similar-task.md
@@ -12,21 +12,18 @@ TODO: optional: hint description
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `TODO: Approach`
-  - `TODO: subtype`
-- _or_ `TODO: alternative Approach`
+- __`TODO: Task Type 1`__
+  <details>
 
-</details>
+  <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
 
-<details>
+    Just like [this task](TODO: link). TODO: optional details
 
-<summary>Task Type</summary>
+  </details>
 
-It is a "TODO" Task Type. In order to solve the Task you should apply the Approach "TODO" just like [this task](TODO: link)
-<!-- It is a "TODO" Task Type. In order to solve the Task you should apply the Approach "TODO" (TODO: subtype) just like [this task](TODO: link) -->
-<!-- We combine the Approaches of "TODO" and "TODO" to solve this Task just like [this task](TODO: link) -->
+---
 
 </details>
 
diff --git a/task-archieve/template/task.md b/task-archieve/template/task.md
index 52feb6f..03810bf 100644
--- a/task-archieve/template/task.md
+++ b/task-archieve/template/task.md
@@ -12,27 +12,51 @@ TODO: optional: hint description
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `TODO: Approach`
-  - `TODO: subtype`
-- _or_ `TODO: alternative Approach`
+- __`TODO: Task Type 1`__
+  <details>
 
-</details>
+  <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
 
-<details>
+    TODO: explanation of Approach
 
-<summary>Task Type</summary>
+    TODO: optional: example of Approach
+
+    TODO: optional: how to apply the Approach to the Task
+
+  </details>
+
+  ---
+
+  <details>
+
+  <summary><i><b><code>TODO: Approach 2</code></b></i></summary>
+
+    TODO: explanation of Approach
 
-It is a "TODO" Task Type. In order to solve the Task you should apply the Approach "TODO"
-<!-- It is a "TODO" Task Type. In order to solve the Task you should apply the Approach "TODO" (TODO: subtype) -->
-<!-- We combine the Approaches of "TODO" and "TODO" to solve this Task -->
+    TODO: optional: example of Approach
 
-TODO: explanation of Approach
+    TODO: optional: how to apply the Approach to the Task
 
-TODO: optional: example of Approach
+  </details>
 
-TODO: optional: how to apply the Approach to the Task
+---
+
+- __`TODO: Task Type 1`__ + __`TODO: Task Type 2`__
+  <details>
+
+  <summary><i><b><code>TODO: Approach 1</code></b></i> + <i><b><code>TODO: Approach 2</code></b></i></summary>
+
+    TODO: explanation of Approaches
+
+    TODO: optional: example of Approaches
+
+    TODO: optional: how to apply the Approaches to the Task
+
+  </details>
+
+---
 
 </details>
 

From 203df072b9be6857b07db1d39efde619ffcd5ffd Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Sat, 9 Mar 2024 15:41:28 +0300
Subject: [PATCH 060/110] append a colon

---
 task-archieve/template/similar-task.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/template/similar-task.md b/task-archieve/template/similar-task.md
index d7ce63c..9d08cc9 100644
--- a/task-archieve/template/similar-task.md
+++ b/task-archieve/template/similar-task.md
@@ -19,7 +19,7 @@ TODO: optional: hint description
 
   <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
 
-    Just like [this task](TODO: link). TODO: optional details
+    Just like [this task](TODO: link). TODO: optional: details
 
   </details>
 

From 8fef91faf88dff1e3182f17285bcb11b36ea10db Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Sun, 10 Mar 2024 17:54:52 +0300
Subject: [PATCH 061/110] refactor task type spoiler final version

---
 .../best-time-to-buy-and-sell-stock/task.md   | 22 ++---
 task-archieve/climb-stairs/task.md            | 15 ++--
 task-archieve/combinations/task.md            | 83 +++++++++----------
 task-archieve/contiguous-array/task.md        | 31 ++++---
 .../distance-between-bus-stops/task.md        | 24 ++++--
 task-archieve/find-peak-element/task.md       | 37 ++++-----
 task-archieve/flatten-nonrecursive-v2/task.md | 17 ++--
 task-archieve/fruit-into-baskets/task.md      | 15 ++--
 task-archieve/intersection-intervals/task.md  | 17 ++--
 .../task.md                                   | 27 +++---
 .../longest-letter-subsequence/task.md        | 21 +++--
 task-archieve/longest-sequence-of-1s/task.md  | 21 ++---
 .../task.md                                   | 15 ++--
 task-archieve/matrix-diagonal-sort/task.md    | 13 ++-
 .../missing-number-sorted-array/task.md       | 15 ++--
 task-archieve/missing-number/task.md          | 45 +++++-----
 task-archieve/most-water/task.md              | 15 ++--
 task-archieve/move-zeroes/task.md             | 14 ++--
 task-archieve/partition-labels/task.md        | 62 ++++++--------
 task-archieve/remove-duplicates-v2/task.md    | 26 +++---
 task-archieve/single-number/task.md           | 47 +++++------
 task-archieve/sort-colors/task.md             | 63 +++++++-------
 task-archieve/sort-letters-two-arrays/task.md | 37 ++++-----
 task-archieve/summary-ranges/task.md          | 16 ++--
 task-archieve/template/similar-task.md        | 19 ++++-
 task-archieve/template/task.md                | 21 ++++-
 task-archieve/top-k-frequent-elements/task.md | 15 ++--
 task-archieve/unpack-ip/task.md               | 19 ++---
 task-archieve/valid-parentheses/task.md       | 21 ++---
 task-archieve/word-break/task.md              |  8 --
 task-archieve/word-search/task.md             | 17 ++--
 task-archieve/zigzag-conversion/task.md       | 17 ++--
 32 files changed, 395 insertions(+), 440 deletions(-)

diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index c143ab3..5a293ce 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -25,26 +25,22 @@ Explanation: In this case, no transactions are done and the max profit = 0
 
 <details>
 
-<summary>Approach</summary>
-
-- `Sliding Window`
-  - `Right is ahead of left but window size is dynamic`
-
-</details>
+<summary>Task Type</summary>
 
-<details>
+- __`Two Pointers One Array`__
+  <details>
 
-<summary>Task Type</summary>
+  <summary><i><b><code>Sliding Window. Right is ahead of left but window size is dynamic</code></b></i></summary>
 
-It is a "Two Pointers One Array" Task Type. In order to solve the Task you should apply the Approach "Sliding Window". Right is ahead of left but window size is dynamic
+    This is a task for two pointers, particularly when they both move left to right (like in [this](../longest-letter-subsequence/task.md) task) and _not_ from end or start (like in [this](../most-water/task.md) task). Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have left pointer behind right pointer and per iteration we either increment left pointer or right pointer or per iteration we increment both left and right pointers is called "_Sliding Window_"
 
-This is a task for two pointers, particularly when they both move left to right (like in [this](../longest-letter-subsequence/task.md) task) and _not_ from end or start (like in [this](../most-water/task.md) task). Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have left pointer behind right pointer and per iteration we either increment left pointer or right pointer or per iteration we increment both left and right pointers is called "_Sliding Window_"
+    You should also note that with Sliding Window technique you don't have to always increment left pointer by one or right pointer by one: the pointers can be set to any index they want so long as left is behind right. Indeed left pointer may even go to the same position as right pointer while right pointer increments by one to be ahead of left pointer. As you can see this Sliding Window we have been talking about may shrink and expand at will
 
-You should also note that with Sliding Window technique you don't have to always increment left pointer by one or right pointer by one: the pointers can be set to any index they want so long as left is behind right. Indeed left pointer may even go to the same position as right pointer while right pointer increments by one to be ahead of left pointer. As you can see this Sliding Window we have been talking about may shrink and expand at will
+    __Note:__ [this task](../longest-letter-subsequence/task.md) likewise uses the Sliding Window Approach
 
-__Note:__ [this task](../longest-letter-subsequence/task.md) likewise uses the Sliding Window Approach
+    __Note:__ you can read more about the "Sliding Window" approach in [this article](../literature/sliding-window.md)
 
-__Note:__ you can read more about the "Sliding Window" approach in [this article](../literature/sliding-window.md)
+  </details>
 
 </details>
 
diff --git a/task-archieve/climb-stairs/task.md b/task-archieve/climb-stairs/task.md
index d0ef4a7..2eb40cb 100644
--- a/task-archieve/climb-stairs/task.md
+++ b/task-archieve/climb-stairs/task.md
@@ -29,19 +29,16 @@ __Note:__ you need to write a function that returns _the number of ways to climb
 
 <details>
 
-<summary>Approach</summary>
-
-- `Use Fibonacci Sequence`
-
-</details>
+<summary>Task Type</summary>
 
-<details>
+- __`Numbers Math`__
+  <details>
 
-<summary>Task Type</summary>
+  <summary><i><b><code>Use Fibonacci Sequence</code></b></i></summary>
 
-It is a "Numbers Math" Task Type. In order to solve the Task you should apply the Approach "Use Fibonacci Sequence"
+    You need to use the [Fibonacci Sequence](../../1\)%20Task%20Challanges.md#12-fibonacci) to solve it
 
-You need to use the [Fibonacci Sequence](../../1\)%20Task%20Challanges.md#12-fibonacci) to solve it
+  </details>
 
 </details>
 
diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
index 9a28b0a..10ab9fe 100644
--- a/task-archieve/combinations/task.md
+++ b/task-archieve/combinations/task.md
@@ -23,73 +23,64 @@ Explanation: There is 1 choose 1 = 1 total combination
 
 <details>
 
-<summary>Approach</summary>
-
-- `Get all unique combinations of values of an array in any order (do Depth-first Search of Array)`
-
-</details>
-
-<details>
-
 <summary>Task Type</summary>
 
-It is a "Backtracking" Task Type. In order to solve the Task you should apply the Approach "Get all unique combinations of values of an array in any order"
+- __`Backtracking`__
+  <details>
 
-Like we said this task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__ (read the Hint for what this means). What we need to do here is get all unique combinations of values of an array in any order
+  <summary><i><b><code>Get all unique combinations of values of an array in any order (do Depth-first Search of Array)</code></b></i></summary>
 
-</details>
+    This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__ (read on to know what this means). What we need to do here is get all unique combinations of values of an array in any order
 
-<details>
+    Note that unlike the ["Permutations of a String" task](../../2\)%20Task%20Challanges.md#28-permutations-of-a-string), in this task we are supposed to return the output in __any order__, also we want _combinations_ of values of an array and not _permutations_ like in the "Permutations of a String" task (so basically we are going to combine values of an array instead of re-arranging them the difference being that `[1,2]` and `[2,1]` are different permutations but these are the same combination of the elements). So for this task the order of the combinations doesn't matter. When the order of the combinations doesn't matter you should apply a backtracking algorithm that is actually different from the one we saw before in the "Permutations of a String" task in order not to come up with duplicates (i.e., `[1,2]` and `[2,1]`)
 
-<summary>Hint</summary>
+    Basically the "Permutations of a String" task uses the Approach _`Get all permutations of values of an array in any order`_ while in this particular task we need to use the Approach _`Get all unique combinations of values of an array in any order`_
 
-This task is for __*Recursive Backtracking*__. Note that unlike the ["Permutations of a String" task](../../2\)%20Task%20Challanges.md#28-permutations-of-a-string), in this task we are supposed to return the output in __any order__, also we want _combinations_ of values of an array and not _permutations_ like in the "Permutations of a String" task (so basically we are going to combine values of an array instead of re-arranging them the difference being that `[1,2]` and `[2,1]` are different permutations but these are the same combination of the elements). So for this task the order of the combinations doesn't matter. When the order of the combinations doesn't matter you should apply a backtracking algorithm that is actually different from the one we saw before in the "Permutations of a String" task in order not to come up with duplicates (i.e., `[1,2]` and `[2,1]`)
+    While in the "Permutations of a String" task we would iterate the array and take out one element out of the array and get the rest of the permutations by recursively backtracking thereby always splitting the array into smaller and smaller chunks what we need to do here is somewhat the opposite though similar: we need to apply the function that by recursively backtracking builds back the array into bigger and bigger chunks (appending elements on the right to the elements on the left)
 
-Basically the "Permutations of a String" task uses the Approach "Get all permutations of values of an array in any order" while in this particular task we need to use the Approach "Get all unique combinations of values of an array in any order"
+    This is what the output of the function should look like:
 
-While in the "Permutations of a String" task we would iterate the array and take out one element out of the array and get the rest of the permutations by recursively backtracking thereby always splitting the array into smaller and smaller chunks what we need to do here is somewhat the opposite though similar: we need to apply the function that by recursively backtracking builds back the array into bigger and bigger chunks (appending elements on the right to the elements on the left)
+    ```
+    Input: [1,2,3]
+    Output: [
+      [],
+      [1],              [2],           [3],
+      [1,2],[1,3],      [2,3]
+      [1,2,3],
+    ]
+    ```
 
-This is what the output of the function should look like:
+    Every level (for example `[1], [2], [3]` is level 1, `[1,2],[1,3], [2,3]` is level 2 and `[1,2,3]` is level 3) indicates the depth of the call stack (thus every next level is a recursive call) and every element separated by a space " " indicates iterations within the same function call
 
-```
-Input: [1,2,3]
-Output: [
-  [],
-  [1],              [2],           [3],
-  [1,2],[1,3],      [2,3]
-  [1,2,3],
-]
-```
+    Here is the function:
 
-Every level (for example `[1], [2], [3]` is level 1, `[1,2],[1,3], [2,3]` is level 2 and `[1,2,3]` is level 3) indicates the depth of the call stack (thus every next level is a recursive call) and every element separated by a space " " indicates iterations within the same function call
+    ```js
+    function backtrack(arr) {
+      const result = [];
 
-Here is the function:
+      function dfs(cur, offset) { // depth first search
+        result.push(cur);
 
-```js
-function backtrack(arr) {
-  const result = [];
+        if (offset === arr.length) {
+          return;
+        }
 
-  function dfs(cur, offset) { // depth first search
-    result.push(cur);
+        for (let i = offset; i < arr.length; i++) {
+          dfs(cur.concat(arr[i]), i + 1);
+        }
+      }
 
-    if (offset === arr.length) {
-      return;
-    }
+      dfs([], 0);
 
-    for (let i = offset; i < arr.length; i++) {
-      dfs(cur.concat(arr[i]), i + 1);
+      return result;
     }
-  }
-
-  dfs([], 0);
+    ```
 
-  return result;
-}
-```
+    In order to solve the task you need to tweak this function to suit your needs
 
-In order to solve the task you need to tweak this function to suit your needs
+    __Note:__ we called the recursive function inside the `backtrack` function as `dfs` meaning _Depth-first Search_ because it behaves similarly to the Depth-first Search in Binary Trees (or Graphs) but please don't confuse the two: the Binary Trees versions can be found [here](../../corejs-codejam/test/07-yield-tests.js#L457), [here](../../corejs-codejam/task/07-yield-tasks.js#L113) and of course [here](../../snippets/Data%20Structures/binary-search-tree.js)
 
-__Note:__ we called the recursive function inside the `backtrack` function as `dfs` meaning _Depth-first Search_ because it behaves similarly to the Depth-first Search in Binary Trees (or Graphs) but please don't confuse the two: the Binary Trees versions can be found [here](../../corejs-codejam/test/07-yield-tests.js#L457), [here](../../corejs-codejam/task/07-yield-tasks.js#L113) and of course [here](../../snippets/Data%20Structures/binary-search-tree.js)
+  </details>
 
 </details>
 
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index e232ed2..015f3c3 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -20,29 +20,28 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Create and use one or more HashMaps as you iterate an array`
+- __`One Pointer One Array and HashMap`__
+  <details>
 
-</details>
+  <summary><i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    The solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the `One Pointer One Array and HashMap` Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial)
 
-It is a "One Pointer One Array and HashMap" Task Type. We can use HashMap to solve this one (except it is not so obvious at first). The Approach we use here is called "Create and use one or more HashMaps as you iterate an array"
+    __Note:__ you can read more about using HashMap to solve tasks in [this article](../literature/hash-map.md) as this and many other tasks require this knowledge
 
-__Note:__ the solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the "One Pointer One Array and HashMap" Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial)
+    You should read Hint for the logic of applying the Approach _`Create and use one or more HashMaps as you iterate an array`_ to solve this particular task
 
-__Note:__ you can read more about using HashMap to solve tasks in [this article](../literature/hash-map.md) as this and many other tasks requires this knowledge
+    __Note:__ we have likewise seen lots of other HashMap tasks before:
+    - [First Non Repeating Char in a String](../../1\)%20Task%20Challanges.md#20-first-non-repeating-char-in-a-string)
+    - [Remove Duplicate Chars from a String](../../2\)%20Task%20Challanges.md#21-remove-duplicate-chars-from-a-string)
+    - [Sum of two equal to a number](../../2\)%20Task%20Challanges.md#24-sum-of-two-equal-to-a-number)
+    - [Largest Sum of Two](../../2\)%20Task%20Challanges.md#25-largest-sum-of-two)
+    - [Cash Exchange](../../cheatsheet/cash-exchange.js)
+    - [Longest Consequtive Sequence](../../cheatsheet/longest-cons-sequence.js)
 
-__Note:__ we have likewise seen lots of other HashMap tasks before:
-- [First Non Repeating Char in a String](../../1\)%20Task%20Challanges.md#20-first-non-repeating-char-in-a-string)
-- [Remove Duplicate Chars from a String](../../2\)%20Task%20Challanges.md#21-remove-duplicate-chars-from-a-string)
-- [Sum of two equal to a number](../../2\)%20Task%20Challanges.md#24-sum-of-two-equal-to-a-number)
-- [Largest Sum of Two](../../2\)%20Task%20Challanges.md#25-largest-sum-of-two)
-- [Cash Exchange](../../cheatsheet/cash-exchange.js)
-- [Longest Consequtive Sequence](../../cheatsheet/longest-cons-sequence.js)
+  </details>
 
 </details>
 
diff --git a/task-archieve/distance-between-bus-stops/task.md b/task-archieve/distance-between-bus-stops/task.md
index 883de66..c809e19 100644
--- a/task-archieve/distance-between-bus-stops/task.md
+++ b/task-archieve/distance-between-bus-stops/task.md
@@ -38,21 +38,27 @@ Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Iterate an array`
-- `Iterate an array in reverse`
-- _or_ `Do math or bitwise operation first on one part of the array and then on another part of of the array`
+- __`One Pointer One Array`__
+  <details>
 
-</details>
+  <summary><i><b><code>Iterate an array</code></b></i> + <i><b><code>Iterate an array in reverse</code></b></i></summary>
 
-<details>
+    First iterate the array and count the sum and then iterate the array in reverse (meaning counterclockwise) and count the sum. Overlap to the beginning or end of the array when necessary. Then return the lesser sum. Thus we utilize the two Approaches _`Iterate an array`_ and _`Iterate an array in reverse`_ in order to solve the Task ([solution 1](./solution.js))
 
-<summary>Task Type</summary>
+  </details>
+
+---
+
+- __`Array Math Operation on All Elements`__
+  <details>
+
+  <summary><i><b><code>Do math or bitwise operation first on one part of the array and then on another part of of the array</code></b></i></summary>
 
-It is a "One Pointer One Array" Task Type. To solve it first iterate the array and count the sum and then iterate the array in reverse (meaning counterclockwise) and count the sum. Overlap to the beginning or end of the array when necessary. Then return the lesser sum. Thus we utilize the two Approaches "Iterate an array" and "Iterate an array in reverse" in order to solve the Task ([solution 1](./solution.js))
+    This Task can also be solved using the Approach _`Do math or bitwise operation first on one part of the array and then on another part of of the array`_ ([solution 2](./solution-2.js)). First of all make sure that the pointer `start` is always _before_ the pointer `destination` (swap them if not so). Then you need to sum all the elements between `start` and `destination` (this is your sum going clockwise, math operation first on one part of the array), after this get the total sum of all the elements of the array and extract the sum of going clockwise from this total sum (this is your sum going counterclockwise, math operation on another part of of the array). Then return the lesser sum
 
-This Task can also be treated as "Array Math Operation on All Elements" Task Type and solved using the Approach "Do math or bitwise operation first on one part of the array and then on another part of of the array" ([solution 2](./solution-2.js)). First of all make sure that `start` is always _before_ `destination` (swap them if not so). Then you need to sum all the elements between `start` and `destination` (this is your sum going clockwise, math operation first on one part of the array), after this get the total sum of all the elements of the array and extract the sum of going clockwise from this total sum (this is your sum going counterclockwise, math operation on another part of of the array). Then return the lesser sum
+  </details>
 
 </details>
 
diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
index 8dfd095..420492a 100644
--- a/task-archieve/find-peak-element/task.md
+++ b/task-archieve/find-peak-element/task.md
@@ -24,37 +24,34 @@ Explanation: Your function can return either index number 1 where the peak eleme
 
 <details>
 
-<summary>Approach</summary>
-
-- `Iterate an array`
-
-</details>
+<summary>Task Type</summary>
 
-<details>
+- __`One Pointer One Array`__
+  <details>
 
-<summary>Task Type</summary>
+  <summary><i><b><code>Iterate an array</code></b></i></summary>
 
-It is a "One Pointer One Array" Task Type. In order to solve the Task you should apply the Approach "Iterate an array"
+    The Approach is simply that we iterate an array using one pointer and get the solution
 
-The Approach is simply that we iterate an array using one pointer and get the solution
+    To solve this particular task we need to compare the element to its neighbors
 
-To solve this particular task we need to compare the element to its neighbors
+    __Note:__ "pointer" is when we save number to a variable like `i` and use `i` as an index of the array and increment or decrement `i` per iteration, the `i` variable is thus called a _pointer_
 
-__Note:__ "pointer" is when we save number to variable like `i` and use `i` as an index of the array and increment or decrement `i` per iteration, the `i` variable is thus called a _pointer_
+    __Note:__ just to be clear, "iteration" is the code that runs inside the braces of the for-loop or while-loop (each time the same code is run but with different values of the variable `i` (pointer) for example starting at 0 and ending with the index of the last element of the array)
 
-__Note:__ just to be clear, "iteration" is the code that runs inside the braces of the for-loop (each time the same code is run but with different values of the variable `i` (pointer) for example starting at 0 and ending with the index of the last element of the array)
+    __Note:__ just to be clear, when we say "iterate an array" it means go over all the elements of the array (for example in the for-loop)
 
-__Note:__ just to be clear, when we say "iterate an array" it means go over all the elements of the array (for example in the for-loop)
+    We have already seen a kindred task called [Love Triangle](../../cheatsheet/love-triangles.js). To solve that task we also simply iterate an array (and do certain things as we iterate it of course)
 
-We have already seen a kindred task called [Love Triangle](../../cheatsheet/love-triangles.js). To solve that task we also simply iterate an array (and do certain things as we iterate it of course)
+    __Note:__ in the Love Triangle task we employ the Approach _`Use values as indexes`_ where we use _values_ of elements of the array as _indexes_ (in order to check if there is a cycle)
 
-__Note:__ in the Love Triangle task as we iterate the array we employ the Approach "Use values as indexes" where we use _values_ of elements of the array as _indexes_ (in order to check if there is a cycle)
+    __Note:__ we have already seen a lot of tasks of the `One Pointer One Array` Task Type:
+    - [Palindrome](../../1\)%20Task%20Challanges.md#3-palindrome)
+    - [Stringo Reverso](../../1\)%20Task%20Challanges.md#17-stringo-reverso)
+    - [Reverse Word Order](../../1\)%20Task%20Challanges.md#18-reverse-word-order)
+    - [Reverse Words In Place](../../1\)%20Task%20Challanges.md#19-reverse-words-in-place)
 
-__Note:__ we have already seen a lot of tasks of the One Pointer One Array Task Type:
-- [Palindrome](../../1\)%20Task%20Challanges.md#3-palindrome)
-- [Stringo Reverso](../../1\)%20Task%20Challanges.md#17-stringo-reverso)
-- [Reverse Word Order](../../1\)%20Task%20Challanges.md#18-reverse-word-order)
-- [Reverse Words In Place](../../1\)%20Task%20Challanges.md#19-reverse-words-in-place)
+  </details>
 
 </details>
 
diff --git a/task-archieve/flatten-nonrecursive-v2/task.md b/task-archieve/flatten-nonrecursive-v2/task.md
index 7b3d063..80d6435 100644
--- a/task-archieve/flatten-nonrecursive-v2/task.md
+++ b/task-archieve/flatten-nonrecursive-v2/task.md
@@ -14,21 +14,18 @@ Also you cannot use recursion because an array can be very big and nested very d
 
 <details>
 
-<summary>Approach</summary>
-
-- `Do while loop while Stack is not empty popping and pushing along the way`
-
-</details>
+<summary>Task Type</summary>
 
-<details>
+- __`Stack or Queue`__
+  <details>
 
-<summary>Task Type</summary>
+  <summary><i><b><code>Do while loop while Stack is not empty popping and pushing along the way</code></b></i></summary>
 
-It is a "Stack or Queue" Task Type. In order to solve the Task you should apply the Approach "Do while loop while Stack is not empty popping and pushing along the way"
+    The key to solving this particular Task is to see that you also need to push elements into the Stack in reverse order
 
-The key to solving this particular Task is to see that you also need to push elements into the Stack in reverse order
+    __Note:__ the same Approach of using a Stack or a Queue and a while loop was used to perform the depth-first search or breadth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L113) or [here](../../corejs-codejam/task/07-yield-tasks.js#L147) (alternatively [here](../../snippets/Data%20Structures/binary-search-tree.js#L222))
 
-__Note:__ the same Approach of using a Stack or a Queue and a while loop was used to perform the depth-first search or breadth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L113) or [here](../../corejs-codejam/task/07-yield-tasks.js#L147) (alternatively [here](../../snippets/Data%20Structures/binary-search-tree.js#L222))
+  </details>
 
 </details>
 
diff --git a/task-archieve/fruit-into-baskets/task.md b/task-archieve/fruit-into-baskets/task.md
index 1a56f7f..27db87e 100644
--- a/task-archieve/fruit-into-baskets/task.md
+++ b/task-archieve/fruit-into-baskets/task.md
@@ -44,19 +44,16 @@ If we had started at the first tree, we would only pick from trees [1,2]
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Sliding Window`
-  - `Right is ahead of left but window size is dynamic`
-- `Create and use one or more HashMaps as you iterate an array`
+- __`Two Pointers One Array`__ + __`One Pointer One Array and HashMap`__
+  <details>
 
-</details>
+  <summary><i><b><code>Sliding Window. Right is ahead of left but window size is dynamic</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    Just like [this task](../longest-letter-subsequence/task.md)
 
-We combine the Approaches of "Sliding Window" (right is ahead of left but window size is dynamic) and "Create and use one or more HashMaps as you iterate an array" to solve this Task just like [this task](../longest-letter-subsequence/task.md)
+  </details>
 
 </details>
 
diff --git a/task-archieve/intersection-intervals/task.md b/task-archieve/intersection-intervals/task.md
index c8766fd..1076314 100644
--- a/task-archieve/intersection-intervals/task.md
+++ b/task-archieve/intersection-intervals/task.md
@@ -18,21 +18,20 @@ user2 [(10, 14), (21, 22)]
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Two pointers of two arrays increase like in Merge Sort`
+- __`Two Pointers Two Arrays`__
+  <details>
 
-</details>
+  <summary><i><b><code>Two pointers of two arrays increase like in Merge Sort</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    It is one of those tasks where we use two pointers (save indexes like `i` and `j` to a variable, `i` is for the 1st array and `j` is for the 2nd array) to iterate __two__ arrays _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. The part of the "Merge Sort" algorithm that checks two sub-arrays uses similar mechanics ([link](../../snippets/algorithms/merge-sort.js#L12))
 
-It is a "Two Pointers Two Arrays" Task Type. In order to solve the Task you should apply the Approach "Two pointers of two arrays increase like in Merge Sort"
+    So we create a 3rd array and according to some logic push to the 3rd array either element at pointer `i` from the 1st array (and increment `i`) or element at pointer `j` from the 2nd array (and increment `j`). The logic of choosing between `i` or `j` might be as simple as which element is smaller: element at `i` or element `j`
 
-It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable, `i` is for the 1st array and `j` is for the 2nd array) to iterate __two__ arrays _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. The part of the "Merge Sort" algorithm that checks two sub-arrays uses similar mechanics ([link](../../snippets/algorithms/merge-sort.js#L12))
+    __Note:__ ["Merge Two Sorted Arrays" task](../../1\)%20Task%20Challanges.md#15-merge-two-sorted-arrays) is the most classic example of a task that uses the Approach _`Two pointers of two arrays increase like in Merge Sort`_
 
-__Note:__ ["Merge Two Sorted Arrays" task](../../1\)%20Task%20Challanges.md#15-merge-two-sorted-arrays) is the most classic example of a task that uses the Approach "Two pointers of two arrays increase like in Merge Sort"
+  </details>
 
 </details>
 
diff --git a/task-archieve/letter-combinations-of-a-phone-number/task.md b/task-archieve/letter-combinations-of-a-phone-number/task.md
index 10a9167..69e253d 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number/task.md
@@ -45,28 +45,27 @@ Output:
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Get all unique combinations of values of many arrays in any order`
+- __`Backtracking`__
+  <details>
 
-</details>
+  <summary><i><b><code>Get all unique combinations of values of many arrays in any order</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    Think of each button of the phone as an array consisting of 3 elements (for example for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the Approach _`Get all unique combinations of values of many arrays in any order`_. In order to do this we need to tweak the Approach called _`Merge two Queues of prefixes`_ which we have seen in pure form in [this task](../unpack-ip/task.md)
 
-This a "Backtracking" Task Type. Think of each button of the phone as an array consisting of 3 elements (for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the Approach "Get all unique combinations of values of many arrays in any order". In order to do this we need to tweak the Approach called "Merge two Queues of prefixes" which we have seen in pure form in [this task](../unpack-ip/task.md)
+    It works in this way:
+    1. At the beginning, it is an empty string
+    2. A new layer is obtained by adding characters at the end of the previous layer
+    3. After the new layer is obtained, the previous layer is not used
 
-It works in this way:
-1. At the beginning, it is an empty string
-2. The new layer is obtained by adding characters at the end of the previous layer
-3. After the new layer is obtained, the previous layer is not used
+    Here is a visual representation of the algorithm:
 
-Here is a visual representation of the algorithm:
+    <img src=./letter-combinations-queue.gif width=400 />
 
-<img src=./letter-combinations-queue.gif width=400 />
+    __Note:__ you can also get all unique combinations of values of many arrays in any order by using the recursive variation of the Approach ([solution 3](./solution-3.js)) but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
 
-__Note:__ you can also get all unique combinations of values of many arrays in any order by using the recursive variation of the Approach ([solution 3](./solution-3.js)) but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
+  </details>
 
 </details>
 
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 1a492b6..0ba4a35 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -18,25 +18,24 @@ longestStr('ababababccddddddd', 3); // L=17 N=4 K=3 result: 10
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Sliding Window`
-  - `Right is ahead of left but window size is dynamic`
-- `Create and use one or more HashMaps as you iterate an array`
+- __`Two Pointers One Array`__ + __`One Pointer One Array and HashMap`__
+  <details>
 
-</details>
+  <summary><i><b><code>Sliding Window. Right is ahead of left but window size is dynamic</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
-<details>
+    We combine the Approaches of _`Sliding Window. Right is ahead of left but window size is dynamic`_ and _`Create and use one or more HashMaps as you iterate an array`_ to solve this Task
 
-<summary>Task Type</summary>
+    It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable) to iterate an array _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. Here is [another task](../most-water/task.md) whose solution uses similar mechanics
 
-We combine the Approaches of "Sliding Window" (right is ahead of left but window size is dynamic) and "Create and use one or more HashMaps as you iterate an array" to solve this Task
+    But for this particular task along with the _Sliding Window_ technique you also need to enable the _power of HashMap_
 
-It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable) to iterate an array _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. Here is [another task](../most-water/task.md) whose solution uses similar mechanics. But for this particular task you may also need to enable the _power of HashMap_ and the _Sliding Window_ technique
+    __Note:__ one of the Approaches used in this task is called _`Sliding Window`_. The particulars of this Approach are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) but you can also read more about the _`Sliding Window`_ Approach in [this article](../literature/sliding-window.md)
 
-__Note:__ one of the Approaches used in this task is called "_Sliding Window_". The particulars of this Approach are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) but you can also read more about the "Sliding Window" Approach in [this article](../literature/sliding-window.md)
+    __Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md) or simply read [this article](../literature/hash-map.md)
 
-__Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md) or simply read [this article](../literature/hash-map.md)
+  </details>
 
 </details>
 
diff --git a/task-archieve/longest-sequence-of-1s/task.md b/task-archieve/longest-sequence-of-1s/task.md
index ca463a5..276aa72 100644
--- a/task-archieve/longest-sequence-of-1s/task.md
+++ b/task-archieve/longest-sequence-of-1s/task.md
@@ -11,25 +11,22 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
 <details>
 
-<summary>Approach</summary>
-
-- `Iterate an array keeping one or more counters`
-
-</details>
+<summary>Task Type</summary>
 
-<details>
+- __`One Pointer One Array and One or More Counters`__
+  <details>
 
-<summary>Task Type</summary>
+  <summary><i><b><code>Iterate an array keeping one or more counters</code></b></i></summary>
 
-It is a "One Pointer One Array and One or More Counters" Task Type. In order to solve the Task you should apply the Approach "Iterate an array keeping one or more counters"
+    It is one of those tasks where you use one pointer to iterate the array as well as one or more counters that we may or may not reset sometimes
 
-It is one of those tasks where you use one pointer to iterate the array as well as one or more counters that we may or may not reset sometimes
+    The key to the solution of this particular task is to reset one of the counters once we encounter a 0 (as we presume we should exclude only 0 if we are to find the longest sequence of 1's)
 
-The key to the solution of this particular task is to reset one of the counters once we encounter a 0 (as we presume we should exclude only 0 if we are to find the longest sequence of 1's)
+    __Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration (and if we say "reset the counter" it means assign to the counter the value that it had before we started iterating the array)
 
-__Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration (and if we say "reset the counter" it means assign to the counter the value that it had before we started iterating the array)
+    __Note:__ we have already seen a somewhat simpler task where we used counters to solve it. The task is called ["3 Greatest Integers in an Array"](../../2\)%20Task%20Challanges.md#30-3-greatest-integers-in-an-array)
 
-__Note:__ we have already seen a somewhat simpler task where we used counters to solve it. The task is called ["3 Greatest Integers in an Array"](../../2\)%20Task%20Challanges.md#30-3-greatest-integers-in-an-array)
+  </details>
 
 </details>
 
diff --git a/task-archieve/longest-substring-without-repeating-characters/task.md b/task-archieve/longest-substring-without-repeating-characters/task.md
index bf7d83c..c8414c0 100644
--- a/task-archieve/longest-substring-without-repeating-characters/task.md
+++ b/task-archieve/longest-substring-without-repeating-characters/task.md
@@ -29,19 +29,16 @@ Notice that the answer must be a substring, "pwke" is a subsequence and not a su
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Sliding Window`
-  - `Right is ahead of left but window size is dynamic`
-- `Create and use one or more HashMaps as you iterate an array`
+- __`Two Pointers One Array`__ + __`One Pointer One Array and HashMap`__
+  <details>
 
-</details>
+  <summary><i><b><code>Sliding Window. Right is ahead of left but window size is dynamic</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    We combine the Approaches of _`Sliding Window. Right is ahead of left but window size is dynamic`_ and _`Create and use one or more HashMaps as you iterate an array`_ to solve this task just like [this task](../longest-letter-subsequence/task.md)
 
-We combine the Approaches of "Sliding Window" (right is ahead of left but window size is dynamic) and "Create and use one or more HashMaps as you iterate an array" to solve this Task just like [this task](../longest-letter-subsequence/task.md)
+  </details>
 
 </details>
 
diff --git a/task-archieve/matrix-diagonal-sort/task.md b/task-archieve/matrix-diagonal-sort/task.md
index 5840d76..f12a740 100644
--- a/task-archieve/matrix-diagonal-sort/task.md
+++ b/task-archieve/matrix-diagonal-sort/task.md
@@ -35,17 +35,16 @@ Here is an example:
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Iterate a matrix`
+- __`Matrix`__
+  <details>
 
-</details>
+  <summary><i><b><code>Iterate a matrix</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    This is a `Matrix` Task Type using Matrix mechanics or you could also say that you need to look at the _relation_ between the indexes of the array like [here](../zigzag-conversion/task.md)
 
-This is a Matrix Task Type using Matrix mechanics or you could also say that you need to look at the _relation_ between the indexes of the array like [here](../zigzag-conversion/task.md)
+  </details>
 
 </details>
 
diff --git a/task-archieve/missing-number-sorted-array/task.md b/task-archieve/missing-number-sorted-array/task.md
index 14cc2bd..8e73661 100644
--- a/task-archieve/missing-number-sorted-array/task.md
+++ b/task-archieve/missing-number-sorted-array/task.md
@@ -28,19 +28,18 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Find the relation of the indexes to values of the array`
+- __`Array Relation of Indexes or Values or Indexes to Values`__
+  <details>
 
-</details>
+  <summary><i><b><code>Find the relation of the indexes to values of the array</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    This is a classic task where you need to look at and analyze the _relation_ between the indexes of the array, or the _relation_ between the values of the array, or the _relation_ of the indexes to the values of the array. Basically it could mean something like this: see what index (or value) the element of the array had and what index (or value) the element of the array should have in the solution and find the relation between these two
 
-This is a classic task where you need to look at and analyze the _relation_ between the indexes of the array, or the _relation_ between the values of the array, or the _relation_ of the indexes to the values of the array. Basically it could mean something like this: see what index (or value) the element of the array had and what index (or value) the element of the array should have in the solution and find the relation between these two
+    To solve this particular task you should merely see the _relation_ of the indexes to the values of the array in that each value in the array should be _equal_ to its index and if it is not then the index of the value is the missing number!
 
-To solve this particular task you should merely see the _relation_ of the indexes to the values of the array in that each value in the array should be _equal_ to its index and if it is not then the index of the value is the missing number!
+  </details>
 
 </details>
 
diff --git a/task-archieve/missing-number/task.md b/task-archieve/missing-number/task.md
index e7887f6..1b62d69 100644
--- a/task-archieve/missing-number/task.md
+++ b/task-archieve/missing-number/task.md
@@ -28,40 +28,39 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
 <details>
 
-<summary>Approach</summary>
-
-- `Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array`
+<summary>Task Type</summary>
 
-</details>
+- __`Array Math Operation on All Elements`__
+  <details>
 
-<details>
+  <summary><i><b><code>Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array</code></b></i></summary>
 
-<summary>Task Type</summary>
+    We can assume this task to be a `One Pointer One Array and HashMap` Task Type and solve it this way using a HashMap:
 
-We can assume this task to be a "One Pointer One Array and HashMap" Task Type and solve it this way using a HashMap:
+    ```js
+    function missingNumber(nums) {
+      const len = nums.length;
+      const hashMap = {};
 
-```js
-function missingNumber(nums) {
-  const len = nums.length;
-  const hashMap = {};
+      for (const num of nums) {
+        hashMap[num] = true;
+      }
 
-  for (const num of nums) {
-    hashMap[num] = true;
-  }
+      for (let i = 0; i < len; i++) {
+        if (!hashMap[i]) {
+          return i;
+        }
+      }
 
-  for (let i = 0; i < len; i++) {
-    if (!hashMap[i]) {
-      return i;
+      return len;
     }
-  }
+    ```
 
-  return len;
-}
-```
+    But we can solve it even more effectively if we treat it as `Array Math Operation on All Elements` Task Type and apply XOR operation for all the elements of the array similar to [that task](../single-number/task.md) (we XOR `0` by all the elements of the array and save the result to some _counter_). However for this particular task you may need to apply the Math Operation (in our case XOR) _twice_: first for all the elements of the array, then to the same _counter_ for all the elements that _should be_ in the array (similar to the HashMap solution above). Thus you need to utilize the Approach _`Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array`_
 
-But we can solve it even more effectively if we treat it as "Array Math Operation on All Elements" Task Type and apply XOR operation for all the elements of the array similar to [that task](../single-number/task.md) (we XOR `0` by all the elements of the array and save the result to some _counter_). However for this particular task you may need to apply the Math Operation (in our case XOR) _twice_: first for all the elements of the array, then to the same _counter_ for all the elements that _should be_ in the array (similar to the HashMap solution above). Thus you need to utilize the Approach "Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array"
+    __Note:__ this task can also be solved not only by doing a XOR but also by applying a Math formula for all the elements of the array. You can find this solution [here](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array)
 
-__Note:__ this task can also be solved not only by doing a XOR but also by applying a Math formula for all the elements of the array. You can find this solution [here](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array)
+  </details>
 
 </details>
 
diff --git a/task-archieve/most-water/task.md b/task-archieve/most-water/task.md
index 4a19bf9..3734853 100644
--- a/task-archieve/most-water/task.md
+++ b/task-archieve/most-water/task.md
@@ -57,19 +57,16 @@ Start with the maximum width container and go to a shorter width container if th
 
 <details>
 
-<summary>Approach</summary>
-
-- `Two pointers go from start and end until some condition`
-
-</details>
+<summary>Task Type</summary>
 
-<details>
+- __`Two Pointers One Array`__
+  <details>
 
-<summary>Task Type</summary>
+  <summary><i><b><code>Two pointers go from start and end until some condition</code></b></i></summary>
 
-It is a "Two Pointers One Array" Task Type. In order to solve the Task you should apply the Approach "Two pointers go from start and end until some condition"
+    For the solution of this particular task your left pointer going from the start to the end and your right pointer going from the end to the start are going to form a rectangular space. You need to note the size of that space formed by the left and right pointers and keep increasing either the left pointer or the right one depending on which one has the smaller height. This allows us to try and find the biggest rectangular space that can be formed by two pointers and thus attain the solution. The business logic of this Task is somewhat related to geometry by its nature
 
-For the solution of this particular task your left pointer going from the start to the end and your right pointer going from the end to the start are going to form a rectangular space. You need to note the size of that space formed by the left and right pointers and keep increasing either the left pointer or the right one depending on which one has the smaller height. This allows us to try and find the biggest rectangular space that can be formed by two pointers and thus attain the solution. The business logic of this Task is somewhat related to geometry by its nature
+  </details>
 
 </details>
 
diff --git a/task-archieve/move-zeroes/task.md b/task-archieve/move-zeroes/task.md
index 49d858c..6968594 100644
--- a/task-archieve/move-zeroes/task.md
+++ b/task-archieve/move-zeroes/task.md
@@ -20,18 +20,16 @@ Output: [0]
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Overwrite elements of one or more arrays`
-  - `The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer`
+- __`In-Place Swap and Overwrite`__
+  <details>
 
-</details>
+  <summary><i><b><code>Overwrite elements of one or more arrays. The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    Just like [this task](../remove-duplicates-v2/task.md)
 
-It is a "In-Place Swap and Overwrite" Task Type. In order to solve the Task you should apply the Approach "Overwrite elements of one or more arrays" (The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer) just like [this task](../remove-duplicates-v2/task.md)
+  </details>
 
 </details>
 
diff --git a/task-archieve/partition-labels/task.md b/task-archieve/partition-labels/task.md
index 7acc466..e0c9146 100644
--- a/task-archieve/partition-labels/task.md
+++ b/task-archieve/partition-labels/task.md
@@ -26,70 +26,60 @@ Output: [10]
 
 <details>
 
-<summary>Approach</summary>
+<summary>Hint</summary>
 
-- `Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way`
-- _or_ `Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)`
+This is a `One Pointer One Array and HashMap` Task Type. We have already seen an example of this Task Type when we were solving the ["Contiguous Array" task](../contiguous-array/task.md). But this task is a tar bit more complicated because in the ["Contiguous Array" task](../contiguous-array/task.md) we simply created a HashMap and it helped us solve the task even while we were iterating the input array (or the input data, to be precise) but in _this_ task we need to use a different and a bit more complex but very similar Approach to attain the solution. Here we are supposed to _create one or more HashMaps and then do something with all the new data_. Now what does this mean? It means that we need to iterate the array for the first time to create one or more HashMaps and then there are exactly two things that we can do:
 
-</details>
-
-<details>
-
-<summary>Task Type</summary>
+1. Iterate in some way the one or more HashMaps that we created during the first pass ( _Approach 1_ )
 
-This is a "One Pointer One Array and HashMap" Task Type
-
-We have already seen an example of this Task Type when we were solving the ["Contiguous Array" task](../contiguous-array/task.md). But this task is a tar bit more complicated because in the ["Contiguous Array" task](../contiguous-array/task.md) we simply created a HashMap and it helped us solve the task even while we were iterating the input array (or the input data, to be precise) but in _this_ task we need to use a different and a bit more complex but very similar Approach to attain the solution. Here are supposed to _create one or more HashMaps and then do something with all the new data_. Now what does this mean? It means that we need to iterate the array for the first time to create one or more HashMaps and then there are exactly two things that we can do:
-
-1. iterate in some way the one or more HashMaps that we created during the first pass ( __Approach 1__ )
-
-2. iterate the input array once again using the knowledge from the one or more HashMaps that we created during the first pass ( __Approach 2__ )
+2. Iterate the input array once again using the knowledge from the one or more HashMaps that we created during the first pass ( _Approach 2_ )
 
 And thus the solution should be revealed
 
-This Task is kind of interesting in that we can solve this Task using either one or the other of the two Approaches mentioned above! In other words we can solve this task _either_ by iterating the HashMap that we create _or_ by iterating the input array once again using the HashMap
-
-See the Hints below if you get stuck
+This Task is kind of interesting in that we can solve this Task using __either one or the other__ of the two Approaches mentioned above! In other words we can solve this task _either_ by iterating the HashMap that we create _or_ by iterating the input array once again using the HashMap
 
 __Note:__ we say "array" here while the function accepts a string. The logic behind this is that we iterate the string the same way as an array and therefore the input string is like an array for us
 
-</details>
-
-<details>
-
-<summary>Hint 1</summary>
-
 One thing is for sure, we need to create a HashMap where we map the letters to the indexes in the string at which those letters were encountered
 
 <img src=image.png width=550 />
 
-Then follow one of the two Approaches of the "One Pointer One Array and HashMap" Task Type that we learned in the Task Type spoiler above
+Then follow one of the two Approaches of the `One Pointer One Array and HashMap` Task Type in the "Task Type" spoiler
 
 </details>
 
 <details>
 
-<summary>Hint 2</summary>
+<summary>Task Type</summary>
+
+- __`One Pointer One Array and HashMap`__
+  <details>
+
+  <summary><i><b><code>Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way</code></b></i></summary>
+
+    We need to create a HashMap like we have seen in Hint above
+
+    Then if you take a look at the _values_ of the HashMap we can see that the values represent _intervals_ indicating the first and last index where each letter can be found in the input string (in the arrays that make up the values of the HashMap the first value is the first index where the letter can be found and can be treated as the start of the _interval_ and the last value is the last index where the letter can be found and therefore can be treated as the end of the _interval_)
 
-As we said there are two Approaches that we can use to solve this Task
+    In order to solve the task we need to iterate the values of the HashMap and calculate the start and end of the contiguous interval that several letters make up when the intervals of several letter overlap and then find the intervals that don't overlap (start of the next non-overlapping interval should be greater than the end of the previous non-overlapping interval). The start of each non-overlapping interval determines the group of letters which we can separate from the rest as per the requirements of the task
 
-__Create HashMap and iterate it ( Approach 1 )__
+    For example the first 3 letters `a`, `b` and `c` form 3 intervals that do overlap: their intervals `[0,8]`, `[1,5]` and `[4,7]` respectively form a contiguous interval of __`[0,8]`__ (smallest letter index and greatest letter index). And if you look further the next four letters `d`, `e`, `f`, and `g` form 4 intervals that do overlap: their intervals `[9,14]`, `[10,15]`, `[11]` and `[13]` respectively form a contiguous interval of __`[9,15]`__ (smallest letter index and greatest letter index). And we can clearly see that the contiguous interval `[0,8]` of `a`, `b`, `c` does _not_ overlap with the contiguous interval `[9,15]` of `d`, `e`, `f`, `g` and therefore we can separate the letters `a`, `b`, `c` into one group and the letters `d`, `e`, `f`, `g` into another group. The lengths of their groups can be determined by the start and end of their contiguous intervals: from `0` to `8` = 9 letters for the first group, from `9` to `15` = 7 letters for the second group, and so on until we have counted all the letters
 
-We need to create a HashMap like we have seen in Hint 1 above
+  </details>
 
-Then if you take a look at the _values_ of the HashMap we can see that the values represent _intervals_ indicating the first and last index where each letter can be found in the input string (in the arrays that make up the values of the HashMap the first value is the first index where the letter can be found and can be treated as the start of the _interval_ and the last value is the last index where the letter can be found and therefore can be treated as the end of the _interval_)
+  ---
 
-In order to solve the task we need to iterate the values of the HashMap and calculate the start and end of the contiguous interval that several letters make up when the intervals of several letter overlap and then find the intervals that don't overlap (start of the next non-overlapping interval should be greater than the end of the previous non-overlapping interval). The start of each non-overlapping interval determines the group of letters which we can separate from the rest as per the requirements of the task
+  <details>
 
-For example the first 3 letters `a`, `b` and `c` form 3 intervals that do overlap: their intervals `[0,8]`, `[1,5]` and `[4,7]` respectively form a contiguous interval of __`[0,8]`__ (smallest letter index and greatest letter index). And if you look further the next four letters `d`, `e`, `f`, and `g` form 4 intervals that do overlap: their intervals `[9,14]`, `[10,15]`, `[11]` and `[13]` respectively form a contiguous interval of __`[9,15]`__ (smallest letter index and greatest letter index). And we can clearly see that the contiguous interval `[0,8]` of `a`, `b`, `c` does _not_ overlap with the contiguous interval `[9,15]` of `d`, `e`, `f`, `g` and therefore we can separate the letters `a`, `b`, `c` into one group and the letters `d`, `e`, `f`, `g` into another group. The lengths of their groups can be determined by the start and end of their contiguous intervals: from `0` to `8` = 9 letters for the first group, from `9` to `15` = 7 letters for the second group, and so on until we have counted all the letters
+  <summary><i><b><code>Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)</code></b></i></summary>
 
-__Create HashMap and iterate the input array once again ( Approach 2 )__
+    This solution is a bit less obvious than the first one
 
-This solution is a bit less obvious than the first one
+    First of all we need to create a HashMap like we have seen in Hint above
 
-First of all we need to create a HashMap like we have seen in Hint 1 above
+    Then we need to iterate the input array once again and as we do that this time we should be able to get from the HashMap the _last_ index where any given letter we are looking at has been encountered. As we iterate we should thus keep a counter of the greatest _last_ index where the letters we have already iterated have been encountered. What is crucial to notice for solving this task in this way is that if we are able to find a letter whose index equals to the greatest _last_ index we have seen thus far then we can separate all the letters that we have seen before into a group as per the requirements of the task. Then it should likewise be somewhat trivial to calculate the _length_ of the group we have thus separated
 
-Then we need to iterate the input array once again and as we do that this time we should be able to get from the HashMap the _last_ index where any given letter we are looking at has been encountered. As we iterate we should thus keep a counter of the greatest _last_ index where the letters we have already iterated have been encountered. What is crucial to notice for solving this task in this way is that if we are able to find a letter whose index equals to the greatest _last_ index we have seen thus far then we can separate all the letters that we have seen before into a group as per the requirements of the task. Then it should likewise be somewhat trivial to calculate the _length_ of the group we have thus separated
+  </details>
 
 </details>
 
diff --git a/task-archieve/remove-duplicates-v2/task.md b/task-archieve/remove-duplicates-v2/task.md
index ec22de5..05a9fbe 100644
--- a/task-archieve/remove-duplicates-v2/task.md
+++ b/task-archieve/remove-duplicates-v2/task.md
@@ -28,30 +28,26 @@ It does not matter what you leave beyond the returned k (hence they are undersco
 
 <details>
 
-<summary>Approach</summary>
-
-- `Overwrite elements of one or more arrays`
-  - `The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer`
-
-</details>
+<summary>Task Type</summary>
 
-<details>
+- __`In-Place Swap and Overwrite`__
+  <details>
 
-<summary>Task Type</summary>
+  <summary><i><b><code>Overwrite elements of one or more arrays. The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer</code></b></i></summary>
 
-It is a "In-Place Swap and Overwrite" Task Type. In order to solve the Task you should apply the Approach "Overwrite elements of one or more arrays". The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer
+    This is an in-place algorithm just like we have seen in [that task](../sort-letters-two-arrays/task.md) except instead of swapping the elements we are going to be _overwriting_ the elements of the array with new values
 
-This is an in-place algorithm just like we have seen in [that task](../sort-letters-two-arrays/task.md) except instead of swapping the elements we are going to be _overwriting_ the elements of the array with new values
+    So in other words it is the same algorithm type as [that task](../sort-letters-two-arrays/task.md) except in this task we can see its counterpart type where we are overwriting elements of an array instead of swapping elements of an array
 
-So in other words it is the same algorithm type as [that task](../sort-letters-two-arrays/task.md) except in this task we can see its counterpart type where we are overwriting elements of an array instead of swapping elements of an array
+    There are only two types of in-place algorithms: swapping and overwriting. Here is a quote from Wikipedia to prove my point:
 
-There are only two types of in-place algorithms: swapping and overwriting. Here is a quote from Wikipedia to prove my point:
+    """
 
-"""
+    _In computer science, an in-place algorithm is an algorithm which transforms input using no auxiliary data structure. However, a small amount of extra storage space is allowed for auxiliary variables. The input is usually overwritten by the output as the algorithm executes. An in-place algorithm updates its input sequence only through replacement or swapping of elements. An algorithm which is not in-place is sometimes called not-in-place or out-of-place._
 
-_In computer science, an in-place algorithm is an algorithm which transforms input using no auxiliary data structure. However, a small amount of extra storage space is allowed for auxiliary variables. The input is usually overwritten by the output as the algorithm executes. An in-place algorithm updates its input sequence only through replacement or swapping of elements. An algorithm which is not in-place is sometimes called not-in-place or out-of-place._
+    """
 
-"""
+  </details>
 
 </details>
 
diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
index a9146dc..0124c2f 100644
--- a/task-archieve/single-number/task.md
+++ b/task-archieve/single-number/task.md
@@ -6,43 +6,42 @@ You must implement a solution with a linear runtime complexity and use only cons
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Do math or bitwise operation on all the elements of the array`
+- __`Array Math Operation on All Elements`__
+  <details>
 
-</details>
+  <summary><i><b><code>Do math or bitwise operation on all the elements of the array</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    We can assume this task to be a `One Pointer One Array and HashMap` Task Type and solve it this way: as we iterate through the `nums` array we store the elements encountered and check if we find them again while iteration continues and the element we didn't find twice is the missing element:
 
-We can assume this task to be a "One Pointer One Array and HashMap" Task Type and solve it this way: as we iterate through the `nums` array we store the elements encountered and check if we find them again while iteration continues and the element we didn't find twice is the missing element:
+    ```js
+    function singleNumber(nums) {
+      const hashMap = {};
 
-```js
-function singleNumber(nums) {
-  const hashMap = {};
+      for (const num of nums) {
+        if (num in hashMap) {
+          delete hashMap[num];
+        } else {
+          hashMap[num] = true;
+        }
+      }
 
-  for (const num of nums) {
-    if (num in hashMap) {
-      delete hashMap[num];
-    } else {
-      hashMap[num] = true;
+      return Object.keys(hashMap)[0];
     }
-  }
+    ```
 
-  return Object.keys(hashMap)[0];
-}
-```
+    But this HashMap approach uses `O(n)` extra memory. We can optimize it if we treat this task _not_ as a `One Pointer One Array and HashMap` Task Type but rather as `Array Math Operation on All Elements` Task Type
 
-But this HashMap approach uses `O(n)` extra memory. We can optimize it if we treat this task _not_ as a "One Pointer One Array and HashMap" Task Type but rather as "Array Math Operation on All Elements" Task Type
+    `Array Math Operation on All Elements` Task Type is the type of task where we do some Math operation on all elements of the array and the result of this operation on all the elements is the result of solving the task. For example we saw the [Find a Missing Number in an Unsorted Array](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array) task earlier. In order to solve that task we summed all the elements of the array and then extracted the sum we got from the sum we wanted and were thus able to find the missing element using constant `O(1)` extra memory
 
-"Array Math Operation on All Elements" Task Type is the type of task where we do some Math operation on all elements of the array and the result of this operation on all the elements is the result of solving the task. For example we saw the [Find a Missing Number in an Unsorted Array](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array) task earlier. In order to solve that task we summed all the elements of the array and then extracted the sum we got from the sum we wanted and were thus able to find the missing element using constant `O(1)` extra memory
+    Let's see how we can use the Approach _`Do math or bitwise operation on all the elements of the array`_ of the `Array Math Operation on All Elements` Task Type to solve this Task
 
-Let's see how we can use the Approach "Do math or bitwise operation on all the elements of the array" of the "Array Math Operation on All Elements" Task Type to solve this Task
+    XOR of any two numbers gives the difference of bits as `1` and the same bits as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits. In order to find the missing element we simply need to XOR all the elements of the array
 
-XOR of any two numbers gives the difference of bits as `1` and the same bits as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits. In order to find the missing element we simply need to XOR all the elements of the array
+    This way we will always get the single missing element because all the same numbers will evaluate to `0` and `0 ^ missing_number = missing_number`
 
-This way we will always get the single missing element because all the same numbers will evaluate to `0` and `0 ^ missing_number = missing_number`
+  </details>
 
 </details>
 
diff --git a/task-archieve/sort-colors/task.md b/task-archieve/sort-colors/task.md
index 35c57d6..f33cbe6 100644
--- a/task-archieve/sort-colors/task.md
+++ b/task-archieve/sort-colors/task.md
@@ -1,6 +1,6 @@
 # Sort Colors
 
-Given an array `nums` with `n` objects colored red, white, or blue, sort them _in-place_ so that objects of the same color are adjacent, with the colors in the order red, white, and blue
+Given an array `nums` with `n` objects colored red, white, or blue, sort them _in-place_ so that objects of the same color are adjacent, with the colors in the order: red, white, and blue
 
 We will use the integers `0`, `1` and `2` to represent the color red, white, and blue, respectively
 
@@ -22,17 +22,7 @@ Output: [0,1,2]
 
 <details>
 
-<summary>Approach</summary>
-
-- `Overwrite elements of one or more arrays`
-  - `Iterate the array and get some information. Then based on this information iterate the array again overwriting its values`
-- _or_ `Swap elements of one or more arrays`
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
+<summary>Hint</summary>
 
 This is a Task Type for in-place swap and overwrite of the array. We have already seen an example where we need to do in-place _swap_ [here](../sort-letters-two-arrays/task.md) and an example where we need to do in-place _overwrite_ [here](../remove-duplicates-v2/task.md)
 
@@ -40,46 +30,55 @@ The beauty of this task is that it can be solved _both_ ways either by _swapping
 
 The solution that entails overwriting is less optimized than the swapping type of solution but the swapping type of solution is less obvious because it uses the "Dutch National Flag" algorithm
 
-You can find the overwriting type of solution in the __Hint 1__ and the swapping type of solution in the __Hint 2__
+You can find the overwriting type of solution and the swapping type of solution by studying the corresponding Approaches in the "Task Type" spoiler
 
 </details>
 
 <details>
 
-<summary>Hint 1</summary>
+<summary>Task Type</summary>
 
-The solution that entails overwriting elements of the array is a two-pass algorithm using counting sort
+- __`In-Place Swap and Overwrite`__
+  <details>
 
-Iterate the array counting number of `0`s, `1`s, and `2`s
+  <summary><i><b><code>Overwrite elements of one or more arrays. Iterate the array and get some information. Then based on this information iterate the array again overwriting its values</code></b></i></summary>
 
-Overwrite the array with the _total_ number of `0`s, then `1`s and followed by `2`s
+    The solution that entails overwriting elements of the array is a two-pass algorithm using counting sort
 
-</details>
+    Iterate the array counting number of `0`s, `1`s, and `2`s
 
-<details>
+    Overwrite the array with the _total_ number of `0`s, then `1`s and followed by `2`s
+
+  </details>
+
+  ---
+
+  <details>
+
+  <summary><i><b><code>Swap elements of one or more arrays</code></b></i></summary>
 
-<summary>Hint 2</summary>
+    The solution that entails swapping elements of the array is a famous Dutch National Flag alogrithm. The Dutch National Flag algorithm is a sorting algorithm that partitions an array containing elements of three distinct values (for example, `0`s, `1`s, and `2`s) into three parts, in a single traversal of the array. The algorithm is named after the Dutch national flag, which has three horizontal stripes of red, white, and blue
 
-The solution that entails swapping elements of the array is a famous Dutch National Flag alogrithm. The Dutch National Flag algorithm is a sorting algorithm that partitions an array containing elements of three distinct values (for example, `0`s, `1`s, and `2`s) into three parts, in a single traversal of the array. The algorithm is named after the Dutch national flag, which has three horizontal stripes of red, white, and blue
+    The algorithm uses three pointers (let's call them `s`, `e` and `n` respectively) to partition the array into three sections:
 
-The algorithm uses three pointers (let's call them `s`, `e` and `n` respectively) to partition the array into three sections:
+    1. `A[0...s-1]` contains all elements that are smaller than the middle value (in the example above, the `0`s)
 
-1. `A[0...s-1]` contains all elements that are smaller than the middle value (in the example above, the `0`s)
+    2. `A[s...e]` contains all elements that are equal to the middle value (in the example above, the `1`s)
 
-2. `A[s...e]` contains all elements that are equal to the middle value (in the example above, the `1`s)
+    3. `A[e+1...n-1]` contains all elements that are larger than the middle value (in the example above, the `2`s)
 
-3. `A[e+1...n-1]` contains all elements that are larger than the middle value (in the example above, the `2`s)
+    Initially, the pointer `s` points to the beginning of the array, and the pointer `e` points to the end of the array. A third pointer, `i`, starts at the beginning of the array and moves forward one element at a time
 
-Initially, the pointer `s` points to the beginning of the array, and the pointer `e` points to the end of the array. A third pointer, `i`, starts at the beginning of the array and moves forward one element at a time
+    The algorithm continues until the `i` pointer reaches the end of the array. If the element at `A[i]` is smaller than the middle value, it is swapped with the element at `A[s]`, and both pointers `i` and `s` are incremented. If the element at `A[i]` is larger than the middle value, it is swapped with the element at `A[e]`, and the pointer `e` is decremented. If the element at `A[i]` is equal to the middle value, the pointer `i` is incremented
 
-The algorithm continues until the `i` pointer reaches the end of the array. If the element at `A[i]` is smaller than the middle value, it is swapped with the element at `A[s]`, and both pointers `i` and `s` are incremented. If the element at `A[i]` is larger than the middle value, it is swapped with the element at `A[e]`, and the pointer `e` is decremented. If the element at `A[i]` is equal to the middle value, the pointer `i` is incremented
+    This algorithm works because, at any point in time during the while loop, the following invariants hold true:
 
-This algorithm works because, at any point in time during the while loop, the following invariants hold true:
+    1. All elements before `s` are smaller than the middle value
+    2. All elements after `e` are larger than the middle value
+    3. All elements between `s` and `i-1` are equal to the middle value
+    4. All elements between `i` and `e` are unprocessed
 
-1. All elements before `s` are smaller than the middle value
-2. All elements after `e` are larger than the middle value
-3. All elements between `s` and `i-1` are equal to the middle value
-4. All elements between `i` and `e` are unprocessed
+  </details>
 
 </details>
 
diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
index eab74fc..33ba50d 100644
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ b/task-archieve/sort-letters-two-arrays/task.md
@@ -52,34 +52,31 @@ To solve this task you need to simply _sort_ the elements of the 2nd array (the
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Swap elements of one or more arrays`
+- __`In-Place Swap and Overwrite`__
+  <details>
 
-</details>
+  <summary><i><b><code>Swap elements of one or more arrays</code></b></i></summary>
 
-<details>
+    We sort in place the 2nd array but together with the elements of the 2nd array we also swap the elements of the 1st array. There is a whole type of tasks that can be solved by swapping the elements of the array in a clever way (or in our case we swap the elements of the two arrays simultaneously)
 
-<summary>Task Type</summary>
+    Here is another example of a solution for these kind of tasks with `O(n)` complexity though it doesn't solve this particular task:
 
-It is a "In-Place Swap and Overwrite" Task Type. In order to solve the Task you should apply the Approach "Swap elements of one or more arrays"
+    ```js
+    function sort(array, order) {
+      for (var i = 0; i < order.length; i++) {
+        order[i] = array[order[i]];
+      }
+      return order;
+    }
+    ```
 
-We sort in place the 2nd array but together with the elements of the 2nd array we also swap the elements of the 1st array. There is a whole type of tasks that can be solved by swapping the elements of the array in a clever way (or in our case we swap the elements of the two arrays simultaneously)
-
-Here is another example of a solution for these kind of tasks with `O(n)` complexity though it doesn't solve this particular task:
-
-```js
-function sort(array, order) {
-  for (var i = 0; i < order.length; i++) {
-    order[i] = array[order[i]];
-  }
-  return order;
-}
-```
+    __Note:__ this example of a solution above (which we said doesn't solve this particular task, the reason for it is what we saw in Hint 1) doesn't swap but rather overwrites elements of the array. The Approach we are studying in this particular task is called _`Swap elements of one or more arrays`_. To solve this particular task you need to swap elements instead of overwriting them and for the overwrite Approach of this Task Type feel free to check out the [sibling task](../remove-duplicates-v2/task.md)
 
-__Note:__ this example of a solution above (which we said doesn't solve this particular task, the reason for it is what we saw in Hint 1) doesn't swap but rather overwrites elements of the array. The Approach we are studying in this particular task is called "Swap elements of one or more arrays". To solve this particular task you need to swap elements instead of overwriting them and for the overwrite Approach of this Task Type feel free to check out the [sibling task](../remove-duplicates-v2/task.md)
+    __Note:__ we have already seen the ["Push Zeros Case" task](../../2\)%20Task%20Challanges.md#29-push-zeros-case) where we used the In-Place Swap type of algorithm to solve it
 
-__Note:__ we have already seen the ["Push Zeros Case" task](../../2\)%20Task%20Challanges.md#29-push-zeros-case) where we used the In-Place Swap type of algorithm to solve it
+  </details>
 
 </details>
 
diff --git a/task-archieve/summary-ranges/task.md b/task-archieve/summary-ranges/task.md
index 0a11b5a..b49dd7e 100644
--- a/task-archieve/summary-ranges/task.md
+++ b/task-archieve/summary-ranges/task.md
@@ -36,20 +36,18 @@ Explanation: The ranges are:
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Sliding Window`
-  - `Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)`
+- __`Two Pointers One Array`__
+  <details>
 
-</details>
+  <summary><i><b><code>Sliding Window. Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    In order to solve the Task you should apply the Approach _`Sliding Window. Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)`_. Except one rather crucial difference of the Approach used here from the Sliding Window Approach we have seen in [this Task](../best-time-to-buy-and-sell-stock/task.md) is that the right and the left pointers may be looking at _the same element_ of the array. This intricacy is utilized here somewhat to get a really elegant solution
 
-It is a "Two Pointers One Array" Task Type. In order to solve the Task you should apply the Approach "Sliding Window". Except one rather crucial difference of the Approach used here from the Sliding Window Approach we have seen in [this Task](../best-time-to-buy-and-sell-stock/task.md) is that the right and the left pointers may be looking at _the same element_ of the array. This intricacy is utilized here somewhat to get a really elegant solution
+    __Note:__ read more about Sliding Window in [this article](../literature/sliding-window.md)
 
-__Note:__ read more about Sliding Window in [this article](../literature/sliding-window.md)
+  </details>
 
 </details>
 
diff --git a/task-archieve/template/similar-task.md b/task-archieve/template/similar-task.md
index 9d08cc9..ab044d2 100644
--- a/task-archieve/template/similar-task.md
+++ b/task-archieve/template/similar-task.md
@@ -23,9 +23,26 @@ TODO: optional: hint description
 
   </details>
 
----
+</details>
+
+<!-- MOST COMMON TEMPLATE:
+<details>
+
+<summary>Task Type</summary>
+
+- __`TODO: Task Type 1`__
+  <details>
+
+  <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
+
+    Just like [this task](TODO: link)
+
+    TODO: optional: details
+
+  </details>
 
 </details>
+-->
 
 ---
 
diff --git a/task-archieve/template/task.md b/task-archieve/template/task.md
index 03810bf..f558230 100644
--- a/task-archieve/template/task.md
+++ b/task-archieve/template/task.md
@@ -56,9 +56,28 @@ TODO: optional: hint description
 
   </details>
 
----
+</details>
+
+<!-- MOST COMMON TEMPLATE:
+<details>
+
+<summary>Task Type</summary>
+
+- __`TODO: Task Type 1`__
+  <details>
+
+  <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
+
+    TODO: explanation of Approach
+
+    TODO: optional: example of Approach
+
+    TODO: optional: how to apply the Approach to the Task
+
+  </details>
 
 </details>
+-->
 
 ---
 
diff --git a/task-archieve/top-k-frequent-elements/task.md b/task-archieve/top-k-frequent-elements/task.md
index a20052c..dff2f4d 100644
--- a/task-archieve/top-k-frequent-elements/task.md
+++ b/task-archieve/top-k-frequent-elements/task.md
@@ -18,19 +18,18 @@ Output: [1]
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way`
+- __`One Pointer One Array and HashMap`__
+  <details>
 
-</details>
+  <summary><i><b><code>Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    In order to solve the task you need to create HashMap and iterate this HashMap in some way similarly to [this task](../partition-labels/task.md) except here we need not to iterate but rather _sort_ this HashMap we get
 
-It is a "One Pointer One Array and HashMap" Task Type. In order to solve it you need to create HashMap and iterate this HashMap in some way similarly to [this task](../partition-labels/task.md) except here we need to _sort_ this HashMap we get
+    Just don't be fooled by the mention of "any order" in the task description into thinking it is a Task Type for Backtracking
 
-Just don't be fooled by the mention of "any order" in the task description into thinking it is a Task Type for Backtracking
+  </details>
 
 </details>
 
diff --git a/task-archieve/unpack-ip/task.md b/task-archieve/unpack-ip/task.md
index 17fc099..251043e 100644
--- a/task-archieve/unpack-ip/task.md
+++ b/task-archieve/unpack-ip/task.md
@@ -34,23 +34,22 @@ Output: ['1.2.3.1', '1.2.3.2', '1.2.3.3', '1.2.3.7']
 
 <details>
 
-<summary>Approach</summary>
+<summary>Task Type</summary>
 
-- `Merge two Queues of prefixes`
+- __`Stack or Queue`__
+  <details>
 
-</details>
+  <summary><i><b><code>Merge two Queues of prefixes</code></b></i></summary>
 
-<details>
-
-<summary>Task Type</summary>
+    Basically we use one Queue as a Queue of prefixes and each of the prefixes we combine with an array of other values and put into a new Queue. Then the old Queue is disregarded and the new Queue is used as a Queue of prefixes again in the next iteration
 
-It is a "Stack or Queue" Task Type. In order to solve the task you should apply the Approach "Merge two Queues of prefixes"
+    In our task each octet or a series of octets is a prefix. If we encounter a simple octet we append it to the previous octets in the Queue. If we encounter either of the patterns then we append an octet to the previous octets in the Queue several times for each octet of the pattern
 
-Basically we use one Queue as a Queue of prefixes each of which we combine with an array of other values and put into another Queue. Then the old Queue is disregarded and the new Queue is used as a Queue of prefixes again in the next iteration
+    __Note:__ the task also has a recursive solution ([solution 2](./solution-2.js)), which is merely a Variation of the Approach used here, but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
 
-In our task each octet or a series of octets is a prefix. If we encounter a simple octet we append it to the previous octets in the Queue. If we encounter either of the patterns then we append an octet to the previous octets in the Queue several times for each octet of the pattern
+    __Note:__ the mechanics of the Approach used here are very much similar to the Approach _`Get all unique combinations of values of many arrays in any order`_ we have seen in [this task](../letter-combinations-of-a-phone-number/task.md)
 
-__Note:__ the task also has a recursive solution ([solution 2](./solution-2.js)), which is merely a Variation of the Approach used here, but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
+  </details>
 
 </details>
 
diff --git a/task-archieve/valid-parentheses/task.md b/task-archieve/valid-parentheses/task.md
index 93695fe..decbddc 100644
--- a/task-archieve/valid-parentheses/task.md
+++ b/task-archieve/valid-parentheses/task.md
@@ -30,27 +30,20 @@ Output: false
 
 <details>
 
-<summary>Approach</summary>
-
-- `Create and use one or more Stacks as you iterate an array`
-
-</details>
-
-<details>
-
 <summary>Task Type</summary>
 
-It is a "One Pointer One Array and _Stack_" Task Type. So you need to iterate a string as an array and use a Stack in order to solve the task
+- __`One Pointer One Array and Stack`__
+  <details>
 
-</details>
+  <summary><i><b><code>Create and use one or more Stacks as you iterate an array</code></b></i></summary>
 
-<details>
+    So you need to iterate a string as an array and use a Stack in order to solve the task
 
-<summary>Hint</summary>
+    If you encounter an opening bracket then you need to push it to the Stack. If you encounter a closing bracket then you need to pop the opening bracket off the Stack (only make sure that you pop off the same type of opening bracket as you found a closing bracket for otherwise the brackets are placed incorrectly)
 
-If you encounter an opening bracket then you need to push it to the Stack. If you encounter a closing bracket then you need to pop off the Stack (only make sure that you pop the same type of opening bracket as you found a closing bracket otherwise the brackets are placed incorrectly)
+    __Note:__ we have already given a try to solving this task [here](../../cheatsheet/brackets/README.md)
 
-__Note:__ we have already given a try to solving this task [here](../../cheatsheet/brackets/README.md)
+  </details>
 
 </details>
 
diff --git a/task-archieve/word-break/task.md b/task-archieve/word-break/task.md
index 193340f..2c9b2b1 100644
--- a/task-archieve/word-break/task.md
+++ b/task-archieve/word-break/task.md
@@ -30,14 +30,6 @@ Output: false
 
 <details>
 
-<summary>Approach</summary>
-
-- ``
-
-</details>
-
-<details>
-
 <summary>Task Type</summary>
 
 </details>
diff --git a/task-archieve/word-search/task.md b/task-archieve/word-search/task.md
index 0ca658c..db08044 100644
--- a/task-archieve/word-search/task.md
+++ b/task-archieve/word-search/task.md
@@ -33,21 +33,18 @@ Output: false
 
 <details>
 
-<summary>Approach</summary>
-
-- `Call the function recursively and see if it solves the puzzle`
-
-</details>
+<summary>Task Type</summary>
 
-<details>
+- __`Check if Puzzle is Solvable`__
+  <details>
 
-<summary>Task Type</summary>
+  <summary><i><b><code>Call the function recursively and see if it solves the puzzle</code></b></i></summary>
 
-It is a "Check if Puzzle is Solvable" Task Type. In order to solve the Task you should apply the Approach "Call the function recursively and see if it solves the puzzle"
+    This task is similar to [Sudoku solver](../../cheatsheet/sudoku.js) where you call a function to see if you can solve the game starting at a certain position as you iterate through the board
 
-This task is similar to [Sudoku solver](../../cheatsheet/sudoku.js) where you call a function to see if you can solve the game starting at a certain position as you iterate through the board
+    In this task we should see if a letter matches the one in the word and if so recursively check its neighbors as well as marking the letters that we looked at
 
-In this task we should see if a letter matches the one in the word and if so recursively check its neighbors as well as marking the letters that we looked at
+  </details>
 
 </details>
 
diff --git a/task-archieve/zigzag-conversion/task.md b/task-archieve/zigzag-conversion/task.md
index e25438f..059b240 100644
--- a/task-archieve/zigzag-conversion/task.md
+++ b/task-archieve/zigzag-conversion/task.md
@@ -45,21 +45,18 @@ __Output:__ `"A"`
 
 <details>
 
-<summary>Approach</summary>
-
-- `Find the relation between the indexes of the array`
-
-</details>
+<summary>Task Type</summary>
 
-<details>
+- __`Array Relation of Indexes or Values or Indexes to Values`__
+  <details>
 
-<summary>Task Type</summary>
+  <summary><i><b><code>Find the relation between the indexes of the array</code></b></i></summary>
 
-It is a "Array Relation of Indexes or Values or Indexes to Values" Task Type. In order to solve the Task you should apply the Approach "Find the relation between the indexes of the array"
+    To solve this Task you need to analyze the _relation_ between the indexes of the characters of the string treating the string as an array
 
-To solve this Task you need to analyze the _relation_ between the indexes of the characters of the string treating the string as an array
+    The spoiler below entitled "Pseudo code" has some of the logic of that _relation_ depicted in a form that suggests the idea of the solution
 
-The spoiler below entitled "Pseudo code" has some of the logic of that _relation_ depicted in a form that suggests the idea of the solution
+  </details>
 
 </details>
 

From 2f90631e1f2fa7d48c5565e1e9488dc0cce22179 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 11 Mar 2024 00:30:46 +0300
Subject: [PATCH 062/110] update task-type-summary formatting

---
 task-archieve/combinations/task.md            |   2 +-
 .../task-type-summary-general.md              | 102 +++++++++---------
 task-archieve/task-type.md                    |   4 -
 task-archieve/template/task-type-summary.md   |   8 +-
 4 files changed, 61 insertions(+), 55 deletions(-)

diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
index 10ab9fe..30d9035 100644
--- a/task-archieve/combinations/task.md
+++ b/task-archieve/combinations/task.md
@@ -28,7 +28,7 @@ Explanation: There is 1 choose 1 = 1 total combination
 - __`Backtracking`__
   <details>
 
-  <summary><i><b><code>Get all unique combinations of values of an array in any order (do Depth-first Search of Array)</code></b></i></summary>
+  <summary><i><b><code>Get all unique combinations of values of an array in any order</code></b></i></summary>
 
     This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__ (read on to know what this means). What we need to do here is get all unique combinations of values of an array in any order
 
diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/task-type-summary-general.md
index 3ec0b8b..ab6b03e 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -1,8 +1,8 @@
 # Task Type Summary General
 
-## One Pointer One Array
+## __`One Pointer One Array`__
 
-1. Iterate an array
+1. __*`Iterate an array`*__
     <details>
 
     <summary>Code</summary>
@@ -21,7 +21,7 @@
 
     </details>
 
-2. Iterate an array in reverse
+2. __*`Iterate an array in reverse`*__
     <details>
 
     <summary>Code</summary>
@@ -40,7 +40,7 @@
 
     </details>
 
-3. Use values as indexes
+3. __*`Use values as indexes`*__
     <details>
 
     <summary>Code</summary>
@@ -61,9 +61,9 @@
 
 ---
 
-## Two Pointers Two Arrays
+## __`Two Pointers Two Arrays`__
 
-1. Two pointers of two arrays increase like in Merge Sort
+1. __*`Two pointers of two arrays increase like in Merge Sort`*__
     <details>
 
     <summary>Code</summary>
@@ -99,9 +99,9 @@
 
 ---
 
-## Two Pointers One Array
+## __Two Pointers One Array__
 
-1. Two pointers go from start and end until some condition
+1. __*`Two pointers go from start and end until some condition`*__
     <details>
 
     <summary>Code</summary>
@@ -125,8 +125,8 @@
 
     </details>
 
-2. _Sliding Window_
-    1. Right is always ahead of left and window size is fixed
+2. __*`Sliding Window`*__
+    1. __*`Right is always ahead of left and window size is fixed`*__
         <details>
 
         <summary>Code</summary>
@@ -152,7 +152,7 @@
 
         </details>
 
-    2. Right is ahead of left but window size is dynamic
+    2. __*`Right is ahead of left but window size is dynamic`*__
         <details>
 
         <summary>Code</summary>
@@ -184,7 +184,7 @@
 
         </details>
 
-    3. Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)
+    3. __*`Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)`*__
         <details>
 
         <summary>Code</summary>
@@ -218,9 +218,9 @@
 
 ---
 
-## One Pointer One Array and One or More Counters
+## __One Pointer One Array and One or More Counters__
 
-1. Iterate an array keeping one or more counters
+1. __*`Iterate an array keeping one or more counters`*__
     <details>
 
     <summary>Code</summary>
@@ -239,9 +239,9 @@
 
 ---
 
-## One Pointer One Array and HashMap
+## __One Pointer One Array and HashMap__
 
-1. Create and use one or more HashMaps as you iterate an array
+1. __*`Create and use one or more HashMaps as you iterate an array`*__
     <details>
 
     <summary>Code</summary>
@@ -258,7 +258,7 @@
 
     </details>
 
-2. Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way
+2. __*`Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way`*__
     <details>
 
     <summary>Code</summary>
@@ -277,7 +277,7 @@
 
     </details>
 
-3. Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)
+3. __*`Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)`*__
     <details>
 
     <summary>Code</summary>
@@ -300,9 +300,9 @@
 
 ---
 
-## One Pointer One Array and Stack
+## __One Pointer One Array and Stack__
 
-1. Create and use one or more Stacks as you iterate an array
+1. __*`Create and use one or more Stacks as you iterate an array`*__
     <details>
 
     <summary>Code</summary>
@@ -321,9 +321,9 @@
 
 ---
 
-## Stack or Queue
+## __Stack or Queue__
 
-1. Do while loop while Stack is not empty popping and pushing along the way
+1. __*`Do while loop while Stack is not empty popping and pushing along the way`*__
     <details>
 
     <summary>Code</summary>
@@ -342,7 +342,7 @@
 
     </details>
 
-2. Do while loop while Queue is not empty queueing and dequeueing along the way
+2. __*`Do while loop while Queue is not empty queueing and dequeueing along the way`*__
     <details>
 
     <summary>Code</summary>
@@ -361,7 +361,7 @@
 
     </details>
 
-3. Merge two Queues of prefixes
+3. __*`Merge two Queues of prefixes`*__
     <details>
 
     <summary>Code</summary>
@@ -415,17 +415,17 @@
 
 ---
 
-## Array Relation of Indexes or Values or Indexes to Values
+## __Array Relation of Indexes or Values or Indexes to Values__
 
-1. Find the relation between the indexes of the array
-2. Find the relation between the values of the array
-3. Find the relation of the indexes to values of the array
+1. __*`Find the relation between the indexes of the array`*__
+2. __*`Find the relation between the values of the array`*__
+3. __*`Find the relation of the indexes to values of the array`*__
 
 ---
 
-## Array Math Operation on All Elements
+## __Array Math Operation on All Elements__
 
-1. Do math or bitwise operation on all the elements of the array
+1. __*`Do math or bitwise operation on all the elements of the array`*__
     <details>
 
     <summary>Code</summary>
@@ -446,7 +446,7 @@
 
     </details>
 
-2. Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array
+2. __*`Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array`*__
     <details>
 
     <summary>Code</summary>
@@ -473,7 +473,7 @@
 
     </details>
 
-3. Do math or bitwise operation first on one part of the array and then on another part of of the array
+3. __*`Do math or bitwise operation first on one part of the array and then on another part of of the array`*__
     <details>
 
     <summary>Code</summary>
@@ -510,9 +510,9 @@
 
 ---
 
-## In-Place Swap and Overwrite
+## __In-Place Swap and Overwrite__
 
-1. Swap elements of one or more arrays
+1. __*`Swap elements of one or more arrays`*__
     <details>
 
     <summary>Code</summary>
@@ -531,8 +531,8 @@
 
     </details>
 
-2. Overwrite elements of one or more arrays
-    1. The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer
+2. __*`Overwrite elements of one or more arrays`*__
+    1. __*`The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer`*__
         <details>
 
         <summary>Code</summary>
@@ -564,7 +564,7 @@
 
         </details>
 
-    2. Iterate the array and get some information. Then based on this information iterate the array again overwriting its values
+    2. __*`Iterate the array and get some information. Then based on this information iterate the array again overwriting its values`*__
         <details>
 
         <summary>Code</summary>
@@ -587,9 +587,9 @@
 
 ---
 
-## Matrix
+## __Matrix__
 
-1. Iterate a matrix
+1. __*`Iterate a matrix`*__
     <details>
 
     <summary>Code</summary>
@@ -631,9 +631,9 @@
 
 ---
 
-## Numbers Math
+## __Numbers Math__
 
-1. Use Prime Numbers
+1. __*`Use Prime Numbers`*__
     <details>
 
     <summary>Code</summary>
@@ -689,7 +689,7 @@
 
     </details>
 
-2. Use Fibonacci Sequence
+2. __*`Use Fibonacci Sequence`*__
     <details>
 
     <summary>Code</summary>
@@ -749,9 +749,9 @@
 
 ---
 
-## Check if Puzzle is Solvable
+## __Check if Puzzle is Solvable__
 
-1. Call the function recursively and see if it solves the puzzle
+1. __*`Call the function recursively and see if it solves the puzzle`*__
     <details>
 
     <summary>Code</summary>
@@ -776,13 +776,15 @@
 
 ---
 
-## Backtracking
+## __Backtracking__
 
-1. Get all permutations of values of an array in any order (call the function recursively taking out each element out of the array per iteration)
+1. __*`Get all permutations of values of an array in any order`*__
     <details>
 
     <summary>Code</summary>
 
+    Call the function recursively taking out each element out of the array per iteration
+
     ```js
     function approach(array) {
         const permutations = [];
@@ -816,11 +818,13 @@
 
     </details>
 
-2. Get all unique combinations of values of an array in any order (do Depth-first Search of Array)
+2. __*`Get all unique combinations of values of an array in any order`*__
     <details>
 
     <summary>Code</summary>
 
+    Depth-first Search of Array
+
     ```js
     function approach(array) {
         const combinations = [];
@@ -851,11 +855,13 @@
 
     </details>
 
-3. Get all unique combinations of values of many arrays in any order (adapt the approach called "Merge two Queues of prefixes")
+3. __*`Get all unique combinations of values of many arrays in any order`*__
     <details>
 
     <summary>Code</summary>
 
+    Adapt the Approach _`Merge two Queues of prefixes`_
+
     __*queue:*__
 
     ```js
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 0800a16..6b32c34 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -15,9 +15,6 @@ _Tasks grouped by_ `Task Type`
 
 ### Two Pointers One Array
   - [Container With Most Water](./most-water/task.md)
-  - [Longest sequence of letters](./longest-letter-subsequence/task.md)
-
-### Two Pointers One Array Sliding Window
   - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
   - [Summary Ranges](./summary-ranges/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
@@ -60,7 +57,6 @@ _Tasks grouped by_ `Task Type`
 
 ### Check if Puzzle is Solvable
   - [Word Search](./word-search/task.md)
-  - [Sudoku Solver](../cheatsheet/sudoku.js)
 
 ### Backtracking
   - [Combinations](./combinations/task.md)
diff --git a/task-archieve/template/task-type-summary.md b/task-archieve/template/task-type-summary.md
index 25f3214..649d68b 100644
--- a/task-archieve/template/task-type-summary.md
+++ b/task-archieve/template/task-type-summary.md
@@ -1,10 +1,14 @@
-## Task Type
+## __`Task Type`__
 
-1. Approach
+1. __*`Approach`*__
     <details>
 
     <summary>Code</summary>
 
+    TODO: optional: Short description
+
+    __*variation:*__
+
     ```js
     function approach() {
     }

From ae70cb9a6490589c696e0ba20c0863fe5e276ba7 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 11 Mar 2024 00:58:18 +0300
Subject: [PATCH 063/110] finish upgrading task type summary formatting

---
 .../task-type-summary-general.md              | 82 ++++++++++++++++---
 task-archieve/template/task-type-summary.md   |  4 +
 2 files changed, 74 insertions(+), 12 deletions(-)

diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/task-type-summary-general.md
index ab6b03e..d23d60f 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -19,6 +19,8 @@
 
     __Output:__ value: `1`, `2`, `3`, index: `0`, `1`, `2`
 
+    ---
+
     </details>
 
 2. __*`Iterate an array in reverse`*__
@@ -38,6 +40,8 @@
 
     __Output:__ value: `3`, `2`, `1`, index: `2`, `1`, `0`
 
+    ---
+
     </details>
 
 3. __*`Use values as indexes`*__
@@ -57,6 +61,8 @@
 
     __Output:__ `2`, `3`, `undefined`
 
+    ---
+
     </details>
 
 ---
@@ -95,11 +101,13 @@
 
     __Output:__ intermingled values of both arrays
 
+    ---
+
     </details>
 
 ---
 
-## __Two Pointers One Array__
+## __`Two Pointers One Array`__
 
 1. __*`Two pointers go from start and end until some condition`*__
     <details>
@@ -123,6 +131,8 @@
     }
     ```
 
+    ---
+
     </details>
 
 2. __*`Sliding Window`*__
@@ -150,6 +160,8 @@
 
         __Output:__ `1, 4`, `2, 5`, `3, 6`, `4, 7`
 
+        ---
+
         </details>
 
     2. __*`Right is ahead of left but window size is dynamic`*__
@@ -182,6 +194,8 @@
 
         __Output:__ `1, 2`, `1, 4`, `3, 4`, `3, 5`, `4, 5`, `5, 6`, `5, 7`, `6, 7`
 
+        ---
+
         </details>
 
     3. __*`Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)`*__
@@ -214,11 +228,13 @@
 
         __Output:__ `1, 1`, `1, 2`, `2, 2`, `2, 3`, `3, 3`, `3, 5`, `5, 5`, `5, 6`, `6, 7`, `7, 7`
 
+        ---
+
         </details>
 
 ---
 
-## __One Pointer One Array and One or More Counters__
+## __`One Pointer One Array and One or More Counters`__
 
 1. __*`Iterate an array keeping one or more counters`*__
     <details>
@@ -235,11 +251,13 @@
     }
     ```
 
+    ---
+
     </details>
 
 ---
 
-## __One Pointer One Array and HashMap__
+## __`One Pointer One Array and HashMap`__
 
 1. __*`Create and use one or more HashMaps as you iterate an array`*__
     <details>
@@ -256,6 +274,8 @@
     }
     ```
 
+    ---
+
     </details>
 
 2. __*`Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way`*__
@@ -275,6 +295,8 @@
     }
     ```
 
+    ---
+
     </details>
 
 3. __*`Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)`*__
@@ -296,11 +318,13 @@
     }
     ```
 
+    ---
+
     </details>
 
 ---
 
-## __One Pointer One Array and Stack__
+## __`One Pointer One Array and Stack`__
 
 1. __*`Create and use one or more Stacks as you iterate an array`*__
     <details>
@@ -317,11 +341,13 @@
     }
     ```
 
+    ---
+
     </details>
 
 ---
 
-## __Stack or Queue__
+## __`Stack or Queue`__
 
 1. __*`Do while loop while Stack is not empty popping and pushing along the way`*__
     <details>
@@ -340,6 +366,8 @@
     }
     ```
 
+    ---
+
     </details>
 
 2. __*`Do while loop while Queue is not empty queueing and dequeueing along the way`*__
@@ -359,6 +387,8 @@
     }
     ```
 
+    ---
+
     </details>
 
 3. __*`Merge two Queues of prefixes`*__
@@ -411,11 +441,13 @@
     }
     ```
 
+    ---
+
     </details>
 
 ---
 
-## __Array Relation of Indexes or Values or Indexes to Values__
+## __`Array Relation of Indexes or Values or Indexes to Values`__
 
 1. __*`Find the relation between the indexes of the array`*__
 2. __*`Find the relation between the values of the array`*__
@@ -423,7 +455,7 @@
 
 ---
 
-## __Array Math Operation on All Elements__
+## __`Array Math Operation on All Elements`__
 
 1. __*`Do math or bitwise operation on all the elements of the array`*__
     <details>
@@ -444,6 +476,8 @@
     }
     ```
 
+    ---
+
     </details>
 
 2. __*`Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array`*__
@@ -471,6 +505,8 @@
     }
     ```
 
+    ---
+
     </details>
 
 3. __*`Do math or bitwise operation first on one part of the array and then on another part of of the array`*__
@@ -506,11 +542,13 @@
     }
     ```
 
+    ---
+
     </details>
 
 ---
 
-## __In-Place Swap and Overwrite__
+## __`In-Place Swap and Overwrite`__
 
 1. __*`Swap elements of one or more arrays`*__
     <details>
@@ -529,6 +567,8 @@
     }
     ```
 
+    ---
+
     </details>
 
 2. __*`Overwrite elements of one or more arrays`*__
@@ -562,6 +602,8 @@
         }
         ```
 
+        ---
+
         </details>
 
     2. __*`Iterate the array and get some information. Then based on this information iterate the array again overwriting its values`*__
@@ -583,11 +625,13 @@
         }
         ```
 
+        ---
+
         </details>
 
 ---
 
-## __Matrix__
+## __`Matrix`__
 
 1. __*`Iterate a matrix`*__
     <details>
@@ -627,11 +671,13 @@
 
     __Output:__ horizontal: `1`, `2`, `3`, vertical: `1`, `4`, `7`, diagonal: `1`, `5`, `9`
 
+    ---
+
     </details>
 
 ---
 
-## __Numbers Math__
+## __`Numbers Math`__
 
 1. __*`Use Prime Numbers`*__
     <details>
@@ -687,6 +733,8 @@
 
     __Output:__ `2`, `3`, `5`, `7`, `11`, `13`, `17`, `19`, `23`, `29`, `31`, `37`, `41`, `43`, `47`, ...
 
+    ---
+
     </details>
 
 2. __*`Use Fibonacci Sequence`*__
@@ -745,11 +793,13 @@
 
     __Output:__ `0`, `1`, `1`, `2`, `3`, `5`, `8`, `13`, `21`, `34`, ...
 
+    ---
+
     </details>
 
 ---
 
-## __Check if Puzzle is Solvable__
+## __`Check if Puzzle is Solvable`__
 
 1. __*`Call the function recursively and see if it solves the puzzle`*__
     <details>
@@ -772,11 +822,13 @@
     }
     ```
 
+    ---
+
     </details>
 
 ---
 
-## __Backtracking__
+## __`Backtracking`__
 
 1. __*`Get all permutations of values of an array in any order`*__
     <details>
@@ -816,6 +868,8 @@
 
     __Output:__ `[ 1, 2, 3 ]`, `[ 1, 3, 2 ]`, `[ 2, 1, 3 ]`, `[ 2, 3, 1 ]`, `[ 3, 1, 2 ]`, `[ 3, 2, 1 ]`
 
+    ---
+
     </details>
 
 2. __*`Get all unique combinations of values of an array in any order`*__
@@ -853,6 +907,8 @@
 
     __Output:__ `[]`, `[1]`, `[2]`, `[3]`, `[1,2]`, `[1,3]`, `[2,3]`, `[1,2,3]`
 
+    ---
+
     </details>
 
 3. __*`Get all unique combinations of values of many arrays in any order`*__
@@ -944,6 +1000,8 @@
     [ 3, 'c', '$' ]
     ```
 
+    ---
+
     </details>
 
 ---
diff --git a/task-archieve/template/task-type-summary.md b/task-archieve/template/task-type-summary.md
index 649d68b..9f1c01b 100644
--- a/task-archieve/template/task-type-summary.md
+++ b/task-archieve/template/task-type-summary.md
@@ -1,3 +1,5 @@
+# Task Type Summary Title
+
 ## __`Task Type`__
 
 1. __*`Approach`*__
@@ -18,6 +20,8 @@
 
     __Output:__ TODO
 
+    ---
+
     </details>
 
 ---

From 3018c067feef4c36b9df55d362e477b902f5aa54 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 12 Mar 2024 16:29:06 +0300
Subject: [PATCH 064/110] refactor the sliding window explanations

---
 .../best-time-to-buy-and-sell-stock/task.md   |  16 ++-
 task-archieve/fruit-into-baskets/task.md      |   4 +-
 .../longest-letter-subsequence/task.md        |  12 +-
 .../task.md                                   |   6 +-
 task-archieve/summary-ranges/task.md          |   8 +-
 .../task-type-summary-general.md              | 131 ++++++++++--------
 task-archieve/task-type.md                    |   2 +
 task-archieve/template/README.md              |   1 +
 8 files changed, 96 insertions(+), 84 deletions(-)

diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index 5a293ce..cae7261 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -27,18 +27,22 @@ Explanation: In this case, no transactions are done and the max profit = 0
 
 <summary>Task Type</summary>
 
-- __`Two Pointers One Array`__
+- __`Sliding Window`__
   <details>
 
-  <summary><i><b><code>Sliding Window. Right is ahead of left but window size is dynamic</code></b></i></summary>
+  <summary><i><b><code>Sliding Window. Dynamic size. Left follows behind right</code></b></i></summary>
 
-    This is a task for two pointers, particularly when they both move left to right (like in [this](../longest-letter-subsequence/task.md) task) and _not_ from end or start (like in [this](../most-water/task.md) task). Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have left pointer behind right pointer and per iteration we either increment left pointer or right pointer or per iteration we increment both left and right pointers is called "_Sliding Window_"
+    This is a task for two pointers. Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have the left pointer behind the right pointer and per iteration we either increment the left pointer or the right pointer or per iteration we increment both the left and the right pointers is called "_Sliding Window_"
 
-    You should also note that with Sliding Window technique you don't have to always increment left pointer by one or right pointer by one: the pointers can be set to any index they want so long as left is behind right. Indeed left pointer may even go to the same position as right pointer while right pointer increments by one to be ahead of left pointer. As you can see this Sliding Window we have been talking about may shrink and expand at will
+    In order to learn the basics of the "_Sliding Window_" technique read [this article](../literature/sliding-window.md). We are going to build all further explanation on top of the knowledge from the article
 
-    __Note:__ [this task](../longest-letter-subsequence/task.md) likewise uses the Sliding Window Approach
+    The size of the Sliding Window is the number of elements of the array between the left and the right pointers. In [the article](../literature/sliding-window.md) the size of the Sliding Window was always the same (we call it "fixed size") because we were always looking at two elements: `i` (right pointer) and `i - m` (`i - WINDOW_SIZE`, left pointer) and the left pointer was always the same distance from the right pointer. Therefore our Window (the elements of the array between the left and the right pointers) always had the same fixed size but for the solution of some "_Sliding Window_" tasks (like this one) we may need to use dynamic (not fixed) size of the Sliding Window
 
-    __Note:__ you can read more about the "Sliding Window" approach in [this article](../literature/sliding-window.md)
+    Dynamic size of the Sliding Window means that whilst the left pointer is always behind the right pointer the distance between the left and the right pointers may change according to some logic. In other words with dynamic size of the Sliding Window both left and right pointers go along the array (left behind right) and they change Window size (the distance between each other) as they go and this is exactly the trick of the Approach we need to implement for the soltuion of this task
+
+    Thus using the _`Sliding Window. Dynamic size. Left follows behind right`_ Approach you don't have to always increment the left pointer by one or the right pointer by one: the pointers can be set to any index they want so long as the left is behind the right. Indeed the left pointer may even go to the same position as the right pointer while the right pointer increments by one to be ahead of the left pointer. As you can see this Sliding Window we have been talking about may shrink and expand at will
+
+    __Note:__ [this task](../longest-letter-subsequence/task.md) likewise uses the same Sliding Window Approach _`Sliding Window. Dynamic size. Left follows behind right`_ but combines it with one of the HashMap Approaches
 
   </details>
 
diff --git a/task-archieve/fruit-into-baskets/task.md b/task-archieve/fruit-into-baskets/task.md
index 27db87e..3000efb 100644
--- a/task-archieve/fruit-into-baskets/task.md
+++ b/task-archieve/fruit-into-baskets/task.md
@@ -46,10 +46,10 @@ If we had started at the first tree, we would only pick from trees [1,2]
 
 <summary>Task Type</summary>
 
-- __`Two Pointers One Array`__ + __`One Pointer One Array and HashMap`__
+- __`Sliding Window`__ + __`One Pointer One Array and HashMap`__
   <details>
 
-  <summary><i><b><code>Sliding Window. Right is ahead of left but window size is dynamic</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
+  <summary><i><b><code>Sliding Window. Dynamic size. Left follows behind right</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
     Just like [this task](../longest-letter-subsequence/task.md)
 
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 0ba4a35..a2d888f 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -20,18 +20,16 @@ longestStr('ababababccddddddd', 3); // L=17 N=4 K=3 result: 10
 
 <summary>Task Type</summary>
 
-- __`Two Pointers One Array`__ + __`One Pointer One Array and HashMap`__
+- __`Sliding Window`__ + __`One Pointer One Array and HashMap`__
   <details>
 
-  <summary><i><b><code>Sliding Window. Right is ahead of left but window size is dynamic</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
+  <summary><i><b><code>Sliding Window. Dynamic size. Left follows behind right</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
-    We combine the Approaches of _`Sliding Window. Right is ahead of left but window size is dynamic`_ and _`Create and use one or more HashMaps as you iterate an array`_ to solve this Task
+    It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable) to iterate an array _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. Here is [another task](../most-water/task.md) whose solution uses similar mechanics though it doesn't use the _Sliding Window_ technique like we need in this task
 
-    It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable) to iterate an array _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. Here is [another task](../most-water/task.md) whose solution uses similar mechanics
+    For this particular task we need to use the _Sliding Window_ technique and along with the _Sliding Window_ technique you also need to enable the _power of HashMap_
 
-    But for this particular task along with the _Sliding Window_ technique you also need to enable the _power of HashMap_
-
-    __Note:__ one of the Approaches used in this task is called _`Sliding Window`_. The particulars of this Approach are also discussed in [this task](../best-time-to-buy-and-sell-stock/task.md) but you can also read more about the _`Sliding Window`_ Approach in [this article](../literature/sliding-window.md)
+    __Note:__ like we said one of the Approaches used in this task is called _`Sliding Window. Dynamic size. Left follows behind right`_. The particulars of this Approach are explained in [this task](../best-time-to-buy-and-sell-stock/task.md)
 
     __Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md) or simply read [this article](../literature/hash-map.md)
 
diff --git a/task-archieve/longest-substring-without-repeating-characters/task.md b/task-archieve/longest-substring-without-repeating-characters/task.md
index c8414c0..6b1a76a 100644
--- a/task-archieve/longest-substring-without-repeating-characters/task.md
+++ b/task-archieve/longest-substring-without-repeating-characters/task.md
@@ -31,12 +31,12 @@ Notice that the answer must be a substring, "pwke" is a subsequence and not a su
 
 <summary>Task Type</summary>
 
-- __`Two Pointers One Array`__ + __`One Pointer One Array and HashMap`__
+- __`Sliding Window`__ + __`One Pointer One Array and HashMap`__
   <details>
 
-  <summary><i><b><code>Sliding Window. Right is ahead of left but window size is dynamic</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
+  <summary><i><b><code>Sliding Window. Dynamic size. Left follows behind right</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
-    We combine the Approaches of _`Sliding Window. Right is ahead of left but window size is dynamic`_ and _`Create and use one or more HashMaps as you iterate an array`_ to solve this task just like [this task](../longest-letter-subsequence/task.md)
+    Just like [this task](../longest-letter-subsequence/task.md)
 
   </details>
 
diff --git a/task-archieve/summary-ranges/task.md b/task-archieve/summary-ranges/task.md
index b49dd7e..9f84491 100644
--- a/task-archieve/summary-ranges/task.md
+++ b/task-archieve/summary-ranges/task.md
@@ -38,14 +38,12 @@ Explanation: The ranges are:
 
 <summary>Task Type</summary>
 
-- __`Two Pointers One Array`__
+- __`Sliding Window`__
   <details>
 
-  <summary><i><b><code>Sliding Window. Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)</code></b></i></summary>
+  <summary><i><b><code>Sliding Window. Dynamic size. Left follows behind right and meets right sometimes</code></b></i></summary>
 
-    In order to solve the Task you should apply the Approach _`Sliding Window. Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)`_. Except one rather crucial difference of the Approach used here from the Sliding Window Approach we have seen in [this Task](../best-time-to-buy-and-sell-stock/task.md) is that the right and the left pointers may be looking at _the same element_ of the array. This intricacy is utilized here somewhat to get a really elegant solution
-
-    __Note:__ read more about Sliding Window in [this article](../literature/sliding-window.md)
+    The Approach _`Sliding Window. Dynamic size. Left follows behind right and meets right sometimes`_ used in this Task has one intricacy different from the Approach _`Sliding Window. Dynamic size. Left follows behind right`_ which we have learnt in [this task](../best-time-to-buy-and-sell-stock/task.md) in that the left pointer may _meet_ the right pointer sometimes (meaning when they meet the left and the right pointers both look at the same element of the array). This intricacy is utilized here to get a really elegant solution
 
   </details>
 
diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/task-type-summary-general.md
index d23d60f..53eb0d6 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -135,102 +135,105 @@
 
     </details>
 
-2. __*`Sliding Window`*__
-    1. __*`Right is always ahead of left and window size is fixed`*__
-        <details>
+---
 
-        <summary>Code</summary>
+## __`Sliding Window`__
 
-        ```js
-        function approach(array) {
-            let i = 0;
+1. __*`Sliding Window. Fixed size`*__
+    <details>
 
-            for (i = 0; i < WINDOW_SIZE; i++) {
-                logic(array[i]);
-            }
+    <summary>Code</summary>
 
-            while (i < array.length) {
-                logic(array[i - WINDOW_SIZE], array[i]);
-                i++;
-            }
+    ```js
+    function approach(array) {
+        let i = 0;
+
+        for (i = 0; i < WINDOW_SIZE; i++) {
+            logic(array[i]);
         }
-        ```
 
-        __Input:__ `WINDOW_SIZE = 3`, `[1, 2, 3, 4, 5, 6, 7]`
+        while (i < array.length) {
+            logic(array[i - WINDOW_SIZE], array[i]);
+            i++;
+        }
+    }
+    ```
 
-        __Output:__ `1, 4`, `2, 5`, `3, 6`, `4, 7`
+    __Input:__ `WINDOW_SIZE = 3`, `[1, 2, 3, 4, 5, 6, 7]`
 
-        ---
+    __Output:__ `1, 4`, `2, 5`, `3, 6`, `4, 7`
 
-        </details>
+    ---
 
-    2. __*`Right is ahead of left but window size is dynamic`*__
-        <details>
+    </details>
 
-        <summary>Code</summary>
+2. __*`Sliding Window. Dynamic size. Left follows behind right`*__
+    <details>
 
-        ```js
-        function approach(array) {
-            let i = 0;
-            let j = 1;
+    <summary>Code</summary>
 
-            while (j < array.length) {
-                logic(array[i], array[j]);
+    ```js
+    function approach(array) {
+        let i = 0;
+        let j = 1;
 
-                while (i < j - 1) {
-                    if (condition()) {
-                        i++;
-                    }
-                }
+        while (j < array.length) {
+            logic(array[i], array[j]);
 
-                while(condition() && j < array.length) {
-                    j++;
+            while (i < j - 1) {
+                if (condition()) {
+                    i++;
                 }
             }
+
+            while (condition() && j < array.length) {
+                j++;
+            }
         }
-        ```
+    }
+    ```
 
-        __Input:__ `[1, 2, 3, 4, 5, 6, 7]`
+    __Input:__ `[1, 2, 3, 4, 5, 6, 7]`
 
-        __Output:__ `1, 2`, `1, 4`, `3, 4`, `3, 5`, `4, 5`, `5, 6`, `5, 7`, `6, 7`
+    __Output:__ `1, 2`, `1, 4`, `3, 4`, `3, 5`, `4, 5`, `5, 6`, `5, 7`, `6, 7`
 
-        ---
+    ---
 
-        </details>
+    </details>
 
-    3. __*`Right is ahead of left but window size is dynamic and right meets left sometimes (they both look at the same element)`*__
-        <details>
+3. __*`Sliding Window. Dynamic size. Left follows behind right and meets right sometimes`*__
+    <details>
 
-        <summary>Code</summary>
+    <summary>Code</summary>
 
-        ```js
-        function approach(array) {
-            let i = 0;
-            let j = 0;
+    ```js
+    function approach(array) {
+        let i = 0;
+        let j = 0;
 
-            while (j < array.length) {
-                logic(array[i], array[j]);
+        while (j < array.length) {
+            logic(array[i], array[j]);
 
-                while (i < j) {
-                    if (condition()) {
-                        i++;
-                    }
+            while (i < j) {
+                if (condition()) {
+                    i++;
                 }
+            }
 
-                while(condition() && j < array.length) {
-                    j++;
-                }
+            while (condition() && j < array.length) {
+                j++;
             }
         }
-        ```
+    }
+    ```
 
-        __Input:__ `[1, 2, 3, 4, 5, 6, 7]`
+    __Input:__ `[1, 2, 3, 4, 5, 6, 7]`
 
-        __Output:__ `1, 1`, `1, 2`, `2, 2`, `2, 3`, `3, 3`, `3, 5`, `5, 5`, `5, 6`, `6, 7`, `7, 7`
+    __Output:__ `1, 1`, `1, 2`, `2, 2`, `2, 3`, `3, 3`, `3, 5`, `5, 5`, `5, 6`, `6, 7`, `7, 7`
 
-        ---
+    ---
 
-        </details>
+    </details>
 
 ---
 
@@ -1006,5 +1009,11 @@
 
 ---
 
+## __`Tabulation`__
+
+<!-- TODO: here -->
+
+---
+
 | [:arrow_left: back](./README.md) |
 | :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 6b32c34..6721f8a 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -15,6 +15,8 @@ _Tasks grouped by_ `Task Type`
 
 ### Two Pointers One Array
   - [Container With Most Water](./most-water/task.md)
+
+### Sliding Window
   - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
   - [Summary Ranges](./summary-ranges/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
diff --git a/task-archieve/template/README.md b/task-archieve/template/README.md
index 93853a6..68a24d2 100644
--- a/task-archieve/template/README.md
+++ b/task-archieve/template/README.md
@@ -9,6 +9,7 @@
 - [x] [__README.md__](../README.md)
 - [x] [__task-type.md__](../task-type.md)
 - [x] [__task-type-summary__](../task-type-summary/README.md)
+<!-- * NOTE: when renaming Task Type or Approach simply COMMAND+SHIFT+F the name across the entire project -->
 
 ---
 

From f1f3a460cd0e6b63bffebe489c26b2853ca784e8 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 13 Mar 2024 22:37:53 +0300
Subject: [PATCH 065/110] rename longest sequence of ones

---
 task-archieve/README.md                                         | 2 +-
 .../solution.js                                                 | 0
 .../task.md                                                     | 2 +-
 task-archieve/task-type.md                                      | 2 +-
 4 files changed, 3 insertions(+), 3 deletions(-)
 rename task-archieve/{longest-sequence-of-1s => longest-sequence-of-ones}/solution.js (100%)
 rename task-archieve/{longest-sequence-of-1s => longest-sequence-of-ones}/task.md (98%)

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 8bd586c..e1906b7 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -12,7 +12,7 @@ _List of tasks_
 - [Container With Most Water](./most-water/task.md)
 - [Zigzag Conversion](./zigzag-conversion/task.md)
 - [Longest sequence of letters](./longest-letter-subsequence/task.md)
-- [Longest sequence of 1's](./longest-sequence-of-1s/task.md)
+- [Longest sequence of ones](./longest-sequence-of-ones/task.md)
 - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
 - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
 - [Intersection of intervals](./intersection-intervals/task.md)
diff --git a/task-archieve/longest-sequence-of-1s/solution.js b/task-archieve/longest-sequence-of-ones/solution.js
similarity index 100%
rename from task-archieve/longest-sequence-of-1s/solution.js
rename to task-archieve/longest-sequence-of-ones/solution.js
diff --git a/task-archieve/longest-sequence-of-1s/task.md b/task-archieve/longest-sequence-of-ones/task.md
similarity index 98%
rename from task-archieve/longest-sequence-of-1s/task.md
rename to task-archieve/longest-sequence-of-ones/task.md
index 276aa72..8afc1a0 100644
--- a/task-archieve/longest-sequence-of-1s/task.md
+++ b/task-archieve/longest-sequence-of-ones/task.md
@@ -1,4 +1,4 @@
-# Longest sequence of 1's
+# Longest sequence of ones
 
 Your task is to implement algorithm that finds the longest sequence of 1's in array consisting of 1's and 0's. For this task you also have to exclude at least 1 element out of the array, for example:
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 6721f8a..9ce062b 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -22,7 +22,7 @@ _Tasks grouped by_ `Task Type`
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 
 ### One Pointer One Array and One or More Counters
-  - [Longest sequence of 1's](./longest-sequence-of-1s/task.md)
+  - [Longest sequence of ones](./longest-sequence-of-ones/task.md)
 
 ### One Pointer One Array and HashMap
   - [Contiguous Array](./contiguous-array/task.md)

From 72bb4eaa53c422312d6e28a83a0dcab418adae1d Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 13 Mar 2024 22:54:51 +0300
Subject: [PATCH 066/110] rename sliding window approaches

---
 task-archieve/best-time-to-buy-and-sell-stock/task.md       | 6 +++---
 task-archieve/fruit-into-baskets/task.md                    | 2 +-
 task-archieve/longest-letter-subsequence/task.md            | 4 ++--
 .../longest-substring-without-repeating-characters/task.md  | 2 +-
 task-archieve/summary-ranges/task.md                        | 4 ++--
 .../task-type-summary/task-type-summary-general.md          | 4 ++--
 6 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index cae7261..96973a8 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -30,7 +30,7 @@ Explanation: In this case, no transactions are done and the max profit = 0
 - __`Sliding Window`__
   <details>
 
-  <summary><i><b><code>Sliding Window. Dynamic size. Left follows behind right</code></b></i></summary>
+  <summary><i><b><code>Sliding Window. Dynamic size</code></b></i></summary>
 
     This is a task for two pointers. Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have the left pointer behind the right pointer and per iteration we either increment the left pointer or the right pointer or per iteration we increment both the left and the right pointers is called "_Sliding Window_"
 
@@ -40,9 +40,9 @@ Explanation: In this case, no transactions are done and the max profit = 0
 
     Dynamic size of the Sliding Window means that whilst the left pointer is always behind the right pointer the distance between the left and the right pointers may change according to some logic. In other words with dynamic size of the Sliding Window both left and right pointers go along the array (left behind right) and they change Window size (the distance between each other) as they go and this is exactly the trick of the Approach we need to implement for the soltuion of this task
 
-    Thus using the _`Sliding Window. Dynamic size. Left follows behind right`_ Approach you don't have to always increment the left pointer by one or the right pointer by one: the pointers can be set to any index they want so long as the left is behind the right. Indeed the left pointer may even go to the same position as the right pointer while the right pointer increments by one to be ahead of the left pointer. As you can see this Sliding Window we have been talking about may shrink and expand at will
+    Thus using the _`Sliding Window. Dynamic size`_ Approach you don't have to always increment the left pointer by one or the right pointer by one: the pointers can be set to any index they want so long as the left is behind the right. Indeed the left pointer may even go to the same position as the right pointer while the right pointer increments by one to be ahead of the left pointer. As you can see this Sliding Window we have been talking about may shrink and expand at will
 
-    __Note:__ [this task](../longest-letter-subsequence/task.md) likewise uses the same Sliding Window Approach _`Sliding Window. Dynamic size. Left follows behind right`_ but combines it with one of the HashMap Approaches
+    __Note:__ [this task](../longest-letter-subsequence/task.md) likewise uses the same Sliding Window Approach _`Sliding Window. Dynamic size`_ but combines it with one of the HashMap Approaches
 
   </details>
 
diff --git a/task-archieve/fruit-into-baskets/task.md b/task-archieve/fruit-into-baskets/task.md
index 3000efb..4b52a89 100644
--- a/task-archieve/fruit-into-baskets/task.md
+++ b/task-archieve/fruit-into-baskets/task.md
@@ -49,7 +49,7 @@ If we had started at the first tree, we would only pick from trees [1,2]
 - __`Sliding Window`__ + __`One Pointer One Array and HashMap`__
   <details>
 
-  <summary><i><b><code>Sliding Window. Dynamic size. Left follows behind right</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
+  <summary><i><b><code>Sliding Window. Dynamic size</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
     Just like [this task](../longest-letter-subsequence/task.md)
 
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index a2d888f..47ba6e8 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -23,13 +23,13 @@ longestStr('ababababccddddddd', 3); // L=17 N=4 K=3 result: 10
 - __`Sliding Window`__ + __`One Pointer One Array and HashMap`__
   <details>
 
-  <summary><i><b><code>Sliding Window. Dynamic size. Left follows behind right</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
+  <summary><i><b><code>Sliding Window. Dynamic size</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
     It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable) to iterate an array _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. Here is [another task](../most-water/task.md) whose solution uses similar mechanics though it doesn't use the _Sliding Window_ technique like we need in this task
 
     For this particular task we need to use the _Sliding Window_ technique and along with the _Sliding Window_ technique you also need to enable the _power of HashMap_
 
-    __Note:__ like we said one of the Approaches used in this task is called _`Sliding Window. Dynamic size. Left follows behind right`_. The particulars of this Approach are explained in [this task](../best-time-to-buy-and-sell-stock/task.md)
+    __Note:__ like we said one of the Approaches used in this task is called _`Sliding Window. Dynamic size`_. The particulars of this Approach are explained in [this task](../best-time-to-buy-and-sell-stock/task.md)
 
     __Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md) or simply read [this article](../literature/hash-map.md)
 
diff --git a/task-archieve/longest-substring-without-repeating-characters/task.md b/task-archieve/longest-substring-without-repeating-characters/task.md
index 6b1a76a..09b7b81 100644
--- a/task-archieve/longest-substring-without-repeating-characters/task.md
+++ b/task-archieve/longest-substring-without-repeating-characters/task.md
@@ -34,7 +34,7 @@ Notice that the answer must be a substring, "pwke" is a subsequence and not a su
 - __`Sliding Window`__ + __`One Pointer One Array and HashMap`__
   <details>
 
-  <summary><i><b><code>Sliding Window. Dynamic size. Left follows behind right</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
+  <summary><i><b><code>Sliding Window. Dynamic size</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
     Just like [this task](../longest-letter-subsequence/task.md)
 
diff --git a/task-archieve/summary-ranges/task.md b/task-archieve/summary-ranges/task.md
index 9f84491..f45e64f 100644
--- a/task-archieve/summary-ranges/task.md
+++ b/task-archieve/summary-ranges/task.md
@@ -41,9 +41,9 @@ Explanation: The ranges are:
 - __`Sliding Window`__
   <details>
 
-  <summary><i><b><code>Sliding Window. Dynamic size. Left follows behind right and meets right sometimes</code></b></i></summary>
+  <summary><i><b><code>Sliding Window. Dynamic size. Left meets right sometimes</code></b></i></summary>
 
-    The Approach _`Sliding Window. Dynamic size. Left follows behind right and meets right sometimes`_ used in this Task has one intricacy different from the Approach _`Sliding Window. Dynamic size. Left follows behind right`_ which we have learnt in [this task](../best-time-to-buy-and-sell-stock/task.md) in that the left pointer may _meet_ the right pointer sometimes (meaning when they meet the left and the right pointers both look at the same element of the array). This intricacy is utilized here to get a really elegant solution
+    The Approach _`Sliding Window. Dynamic size. Left meets right sometimes`_ used in this Task has one intricacy different from the Approach _`Sliding Window. Dynamic size`_ which we have learnt in [this task](../best-time-to-buy-and-sell-stock/task.md) in that the left pointer may _meet_ the right pointer sometimes (meaning when they meet the left and the right pointers both look at the same element of the array). This intricacy is utilized here to get a really elegant solution
 
   </details>
 
diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/task-type-summary-general.md
index 53eb0d6..6d8815a 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -167,7 +167,7 @@
 
     </details>
 
-2. __*`Sliding Window. Dynamic size. Left follows behind right`*__
+2. __*`Sliding Window. Dynamic size`*__
     <details>
 
     <summary>Code</summary>
@@ -201,7 +201,7 @@
 
     </details>
 
-3. __*`Sliding Window. Dynamic size. Left follows behind right and meets right sometimes`*__
+3. __*`Sliding Window. Dynamic size. Left meets right sometimes`*__
     <details>
 
     <summary>Code</summary>

From c0af9cee956dd621e66285d33f8c82d554f88be1 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 13 Mar 2024 23:14:50 +0300
Subject: [PATCH 067/110] refactor task type names

---
 task-archieve/contiguous-array/task.md                    | 4 ++--
 task-archieve/fruit-into-baskets/task.md                  | 2 +-
 task-archieve/longest-letter-subsequence/task.md          | 2 +-
 task-archieve/longest-sequence-of-ones/task.md            | 2 +-
 .../task.md                                               | 2 +-
 task-archieve/missing-number-sorted-array/task.md         | 2 +-
 task-archieve/missing-number/task.md                      | 2 +-
 task-archieve/partition-labels/task.md                    | 6 +++---
 task-archieve/single-number/task.md                       | 4 ++--
 .../task-type-summary/task-type-summary-general.md        | 8 ++++----
 task-archieve/task-type.md                                | 8 ++++----
 task-archieve/top-k-frequent-elements/task.md             | 2 +-
 task-archieve/valid-parentheses/task.md                   | 2 +-
 task-archieve/zigzag-conversion/task.md                   | 2 +-
 14 files changed, 24 insertions(+), 24 deletions(-)

diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index 015f3c3..6227652 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -22,12 +22,12 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
 <summary>Task Type</summary>
 
-- __`One Pointer One Array and HashMap`__
+- __`Array and HashMap`__
   <details>
 
   <summary><i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
-    The solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the `One Pointer One Array and HashMap` Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial)
+    The solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the `Array and HashMap` Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial)
 
     __Note:__ you can read more about using HashMap to solve tasks in [this article](../literature/hash-map.md) as this and many other tasks require this knowledge
 
diff --git a/task-archieve/fruit-into-baskets/task.md b/task-archieve/fruit-into-baskets/task.md
index 4b52a89..3c594de 100644
--- a/task-archieve/fruit-into-baskets/task.md
+++ b/task-archieve/fruit-into-baskets/task.md
@@ -46,7 +46,7 @@ If we had started at the first tree, we would only pick from trees [1,2]
 
 <summary>Task Type</summary>
 
-- __`Sliding Window`__ + __`One Pointer One Array and HashMap`__
+- __`Sliding Window`__ + __`Array and HashMap`__
   <details>
 
   <summary><i><b><code>Sliding Window. Dynamic size</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 47ba6e8..5edb654 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -20,7 +20,7 @@ longestStr('ababababccddddddd', 3); // L=17 N=4 K=3 result: 10
 
 <summary>Task Type</summary>
 
-- __`Sliding Window`__ + __`One Pointer One Array and HashMap`__
+- __`Sliding Window`__ + __`Array and HashMap`__
   <details>
 
   <summary><i><b><code>Sliding Window. Dynamic size</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
diff --git a/task-archieve/longest-sequence-of-ones/task.md b/task-archieve/longest-sequence-of-ones/task.md
index 8afc1a0..d1da97e 100644
--- a/task-archieve/longest-sequence-of-ones/task.md
+++ b/task-archieve/longest-sequence-of-ones/task.md
@@ -13,7 +13,7 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
 <summary>Task Type</summary>
 
-- __`One Pointer One Array and One or More Counters`__
+- __`Array and Counter`__
   <details>
 
   <summary><i><b><code>Iterate an array keeping one or more counters</code></b></i></summary>
diff --git a/task-archieve/longest-substring-without-repeating-characters/task.md b/task-archieve/longest-substring-without-repeating-characters/task.md
index 09b7b81..5a6a8b9 100644
--- a/task-archieve/longest-substring-without-repeating-characters/task.md
+++ b/task-archieve/longest-substring-without-repeating-characters/task.md
@@ -31,7 +31,7 @@ Notice that the answer must be a substring, "pwke" is a subsequence and not a su
 
 <summary>Task Type</summary>
 
-- __`Sliding Window`__ + __`One Pointer One Array and HashMap`__
+- __`Sliding Window`__ + __`Array and HashMap`__
   <details>
 
   <summary><i><b><code>Sliding Window. Dynamic size</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
diff --git a/task-archieve/missing-number-sorted-array/task.md b/task-archieve/missing-number-sorted-array/task.md
index 8e73661..38e07e9 100644
--- a/task-archieve/missing-number-sorted-array/task.md
+++ b/task-archieve/missing-number-sorted-array/task.md
@@ -30,7 +30,7 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
 <summary>Task Type</summary>
 
-- __`Array Relation of Indexes or Values or Indexes to Values`__
+- __`Array Relation of Indexes and Values`__
   <details>
 
   <summary><i><b><code>Find the relation of the indexes to values of the array</code></b></i></summary>
diff --git a/task-archieve/missing-number/task.md b/task-archieve/missing-number/task.md
index 1b62d69..fe08ed2 100644
--- a/task-archieve/missing-number/task.md
+++ b/task-archieve/missing-number/task.md
@@ -35,7 +35,7 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
   <summary><i><b><code>Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array</code></b></i></summary>
 
-    We can assume this task to be a `One Pointer One Array and HashMap` Task Type and solve it this way using a HashMap:
+    We can assume this task to be a `Array and HashMap` Task Type and solve it this way using a HashMap:
 
     ```js
     function missingNumber(nums) {
diff --git a/task-archieve/partition-labels/task.md b/task-archieve/partition-labels/task.md
index e0c9146..b5d8c89 100644
--- a/task-archieve/partition-labels/task.md
+++ b/task-archieve/partition-labels/task.md
@@ -28,7 +28,7 @@ Output: [10]
 
 <summary>Hint</summary>
 
-This is a `One Pointer One Array and HashMap` Task Type. We have already seen an example of this Task Type when we were solving the ["Contiguous Array" task](../contiguous-array/task.md). But this task is a tar bit more complicated because in the ["Contiguous Array" task](../contiguous-array/task.md) we simply created a HashMap and it helped us solve the task even while we were iterating the input array (or the input data, to be precise) but in _this_ task we need to use a different and a bit more complex but very similar Approach to attain the solution. Here we are supposed to _create one or more HashMaps and then do something with all the new data_. Now what does this mean? It means that we need to iterate the array for the first time to create one or more HashMaps and then there are exactly two things that we can do:
+This is a `Array and HashMap` Task Type. We have already seen an example of this Task Type when we were solving the ["Contiguous Array" task](../contiguous-array/task.md). But this task is a tar bit more complicated because in the ["Contiguous Array" task](../contiguous-array/task.md) we simply created a HashMap and it helped us solve the task even while we were iterating the input array (or the input data, to be precise) but in _this_ task we need to use a different and a bit more complex but very similar Approach to attain the solution. Here we are supposed to _create one or more HashMaps and then do something with all the new data_. Now what does this mean? It means that we need to iterate the array for the first time to create one or more HashMaps and then there are exactly two things that we can do:
 
 1. Iterate in some way the one or more HashMaps that we created during the first pass ( _Approach 1_ )
 
@@ -44,7 +44,7 @@ One thing is for sure, we need to create a HashMap where we map the letters to t
 
 <img src=image.png width=550 />
 
-Then follow one of the two Approaches of the `One Pointer One Array and HashMap` Task Type in the "Task Type" spoiler
+Then follow one of the two Approaches of the `Array and HashMap` Task Type in the "Task Type" spoiler
 
 </details>
 
@@ -52,7 +52,7 @@ Then follow one of the two Approaches of the `One Pointer One Array and HashMap`
 
 <summary>Task Type</summary>
 
-- __`One Pointer One Array and HashMap`__
+- __`Array and HashMap`__
   <details>
 
   <summary><i><b><code>Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way</code></b></i></summary>
diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
index 0124c2f..242ed6b 100644
--- a/task-archieve/single-number/task.md
+++ b/task-archieve/single-number/task.md
@@ -13,7 +13,7 @@ You must implement a solution with a linear runtime complexity and use only cons
 
   <summary><i><b><code>Do math or bitwise operation on all the elements of the array</code></b></i></summary>
 
-    We can assume this task to be a `One Pointer One Array and HashMap` Task Type and solve it this way: as we iterate through the `nums` array we store the elements encountered and check if we find them again while iteration continues and the element we didn't find twice is the missing element:
+    We can assume this task to be a `Array and HashMap` Task Type and solve it this way: as we iterate through the `nums` array we store the elements encountered and check if we find them again while iteration continues and the element we didn't find twice is the missing element:
 
     ```js
     function singleNumber(nums) {
@@ -31,7 +31,7 @@ You must implement a solution with a linear runtime complexity and use only cons
     }
     ```
 
-    But this HashMap approach uses `O(n)` extra memory. We can optimize it if we treat this task _not_ as a `One Pointer One Array and HashMap` Task Type but rather as `Array Math Operation on All Elements` Task Type
+    But this HashMap approach uses `O(n)` extra memory. We can optimize it if we treat this task _not_ as a `Array and HashMap` Task Type but rather as `Array Math Operation on All Elements` Task Type
 
     `Array Math Operation on All Elements` Task Type is the type of task where we do some Math operation on all elements of the array and the result of this operation on all the elements is the result of solving the task. For example we saw the [Find a Missing Number in an Unsorted Array](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array) task earlier. In order to solve that task we summed all the elements of the array and then extracted the sum we got from the sum we wanted and were thus able to find the missing element using constant `O(1)` extra memory
 
diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/task-type-summary-general.md
index 6d8815a..17a012b 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -237,7 +237,7 @@
 
 ---
 
-## __`One Pointer One Array and One or More Counters`__
+## __`Array and Counter`__
 
 1. __*`Iterate an array keeping one or more counters`*__
     <details>
@@ -260,7 +260,7 @@
 
 ---
 
-## __`One Pointer One Array and HashMap`__
+## __`Array and HashMap`__
 
 1. __*`Create and use one or more HashMaps as you iterate an array`*__
     <details>
@@ -327,7 +327,7 @@
 
 ---
 
-## __`One Pointer One Array and Stack`__
+## __`Array and Stack or Queue`__
 
 1. __*`Create and use one or more Stacks as you iterate an array`*__
     <details>
@@ -450,7 +450,7 @@
 
 ---
 
-## __`Array Relation of Indexes or Values or Indexes to Values`__
+## __`Array Relation of Indexes and Values`__
 
 1. __*`Find the relation between the indexes of the array`*__
 2. __*`Find the relation between the values of the array`*__
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 9ce062b..f57c0be 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -21,21 +21,21 @@ _Tasks grouped by_ `Task Type`
   - [Summary Ranges](./summary-ranges/task.md)
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 
-### One Pointer One Array and One or More Counters
+### Array and Counter
   - [Longest sequence of ones](./longest-sequence-of-ones/task.md)
 
-### One Pointer One Array and HashMap
+### Array and HashMap
   - [Contiguous Array](./contiguous-array/task.md)
   - [Partition Labels](./partition-labels/task.md)
 
-### One Pointer One Array and Stack
+### Array and Stack or Queue
   - [Valid Parentheses](./valid-parentheses/task.md)
 
 ### Stack or Queue
   - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
   - [Unpack IP](./unpack-ip/task.md)
 
-### Array Relation of Indexes or Values or Indexes to Values
+### Array Relation of Indexes and Values
   - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
   - [Zigzag Conversion](./zigzag-conversion/task.md)
 
diff --git a/task-archieve/top-k-frequent-elements/task.md b/task-archieve/top-k-frequent-elements/task.md
index dff2f4d..613d27c 100644
--- a/task-archieve/top-k-frequent-elements/task.md
+++ b/task-archieve/top-k-frequent-elements/task.md
@@ -20,7 +20,7 @@ Output: [1]
 
 <summary>Task Type</summary>
 
-- __`One Pointer One Array and HashMap`__
+- __`Array and HashMap`__
   <details>
 
   <summary><i><b><code>Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way</code></b></i></summary>
diff --git a/task-archieve/valid-parentheses/task.md b/task-archieve/valid-parentheses/task.md
index decbddc..fc9ceaf 100644
--- a/task-archieve/valid-parentheses/task.md
+++ b/task-archieve/valid-parentheses/task.md
@@ -32,7 +32,7 @@ Output: false
 
 <summary>Task Type</summary>
 
-- __`One Pointer One Array and Stack`__
+- __`Array and Stack or Queue`__
   <details>
 
   <summary><i><b><code>Create and use one or more Stacks as you iterate an array</code></b></i></summary>
diff --git a/task-archieve/zigzag-conversion/task.md b/task-archieve/zigzag-conversion/task.md
index 059b240..b8aee4e 100644
--- a/task-archieve/zigzag-conversion/task.md
+++ b/task-archieve/zigzag-conversion/task.md
@@ -47,7 +47,7 @@ __Output:__ `"A"`
 
 <summary>Task Type</summary>
 
-- __`Array Relation of Indexes or Values or Indexes to Values`__
+- __`Array Relation of Indexes and Values`__
   <details>
 
   <summary><i><b><code>Find the relation between the indexes of the array</code></b></i></summary>

From 2e159a1237c8b35076e8c8e1733b5fb1b7fe0437 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 13 Mar 2024 23:26:06 +0300
Subject: [PATCH 068/110] refactor the names of the approaches

---
 task-archieve/matrix-diagonal-sort/task.md                  | 2 +-
 task-archieve/missing-number-sorted-array/task.md           | 2 +-
 task-archieve/missing-number/task.md                        | 4 ++--
 .../task-type-summary/task-type-summary-general.md          | 6 +++---
 4 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/task-archieve/matrix-diagonal-sort/task.md b/task-archieve/matrix-diagonal-sort/task.md
index f12a740..077a55e 100644
--- a/task-archieve/matrix-diagonal-sort/task.md
+++ b/task-archieve/matrix-diagonal-sort/task.md
@@ -40,7 +40,7 @@ Here is an example:
 - __`Matrix`__
   <details>
 
-  <summary><i><b><code>Iterate a matrix</code></b></i></summary>
+  <summary><i><b><code>Iterate a Matrix</code></b></i></summary>
 
     This is a `Matrix` Task Type using Matrix mechanics or you could also say that you need to look at the _relation_ between the indexes of the array like [here](../zigzag-conversion/task.md)
 
diff --git a/task-archieve/missing-number-sorted-array/task.md b/task-archieve/missing-number-sorted-array/task.md
index 38e07e9..cf8c158 100644
--- a/task-archieve/missing-number-sorted-array/task.md
+++ b/task-archieve/missing-number-sorted-array/task.md
@@ -33,7 +33,7 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 - __`Array Relation of Indexes and Values`__
   <details>
 
-  <summary><i><b><code>Find the relation of the indexes to values of the array</code></b></i></summary>
+  <summary><i><b><code>Find the relation between the indexes and the values of the array</code></b></i></summary>
 
     This is a classic task where you need to look at and analyze the _relation_ between the indexes of the array, or the _relation_ between the values of the array, or the _relation_ of the indexes to the values of the array. Basically it could mean something like this: see what index (or value) the element of the array had and what index (or value) the element of the array should have in the solution and find the relation between these two
 
diff --git a/task-archieve/missing-number/task.md b/task-archieve/missing-number/task.md
index fe08ed2..3854f8d 100644
--- a/task-archieve/missing-number/task.md
+++ b/task-archieve/missing-number/task.md
@@ -33,7 +33,7 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 - __`Array Math Operation on All Elements`__
   <details>
 
-  <summary><i><b><code>Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array</code></b></i></summary>
+  <summary><i><b><code>Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in the array</code></b></i></summary>
 
     We can assume this task to be a `Array and HashMap` Task Type and solve it this way using a HashMap:
 
@@ -56,7 +56,7 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
     }
     ```
 
-    But we can solve it even more effectively if we treat it as `Array Math Operation on All Elements` Task Type and apply XOR operation for all the elements of the array similar to [that task](../single-number/task.md) (we XOR `0` by all the elements of the array and save the result to some _counter_). However for this particular task you may need to apply the Math Operation (in our case XOR) _twice_: first for all the elements of the array, then to the same _counter_ for all the elements that _should be_ in the array (similar to the HashMap solution above). Thus you need to utilize the Approach _`Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array`_
+    But we can solve it even more effectively if we treat it as `Array Math Operation on All Elements` Task Type and apply XOR operation for all the elements of the array similar to [that task](../single-number/task.md) (we XOR `0` by all the elements of the array and save the result to some _counter_). However for this particular task you may need to apply the Math Operation (in our case XOR) _twice_: first for all the elements of the array, then to the same _counter_ for all the elements that _should be_ in the array (similar to the HashMap solution above). Thus you need to utilize the Approach _`Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in the array`_
 
     __Note:__ this task can also be solved not only by doing a XOR but also by applying a Math formula for all the elements of the array. You can find this solution [here](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array)
 
diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/task-type-summary-general.md
index 17a012b..a6a875d 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -454,7 +454,7 @@
 
 1. __*`Find the relation between the indexes of the array`*__
 2. __*`Find the relation between the values of the array`*__
-3. __*`Find the relation of the indexes to values of the array`*__
+3. __*`Find the relation between the indexes and the values of the array`*__
 
 ---
 
@@ -483,7 +483,7 @@
 
     </details>
 
-2. __*`Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in array`*__
+2. __*`Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in the array`*__
     <details>
 
     <summary>Code</summary>
@@ -636,7 +636,7 @@
 
 ## __`Matrix`__
 
-1. __*`Iterate a matrix`*__
+1. __*`Iterate a Matrix`*__
     <details>
 
     <summary>Code</summary>

From 089f7edb49a20279ebcc24ce0014885da91ce6a7 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 13 Mar 2024 23:30:29 +0300
Subject: [PATCH 069/110] append plus 1 approach

---
 .../task-type-summary-general.md              | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)

diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/task-type-summary-general.md
index a6a875d..79e0f9c 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/task-type-summary-general.md
@@ -348,6 +348,25 @@
 
     </details>
 
+2. __*`Create and use one or more Queues as you iterate an array`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const queue = [];
+
+        for (let i = 0; i < array.length; i++) {
+            logic(array[i], queue); // queue.push() queue.shift()
+        }
+    }
+    ```
+
+    ---
+
+    </details>
+
 ---
 
 ## __`Stack or Queue`__

From 529c57887f75e29e28be3eb9b4237a39503ccd13 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 13 Mar 2024 23:36:02 +0300
Subject: [PATCH 070/110] rename flatten non-recursive

---
 task-archieve/README.md                                         | 2 +-
 .../solution-2.js                                               | 0
 .../solution.js                                                 | 0
 .../{flatten-nonrecursive-v2 => flatten-nonrecursive}/task.md   | 2 +-
 task-archieve/task-type.md                                      | 2 +-
 5 files changed, 3 insertions(+), 3 deletions(-)
 rename task-archieve/{flatten-nonrecursive-v2 => flatten-nonrecursive}/solution-2.js (100%)
 rename task-archieve/{flatten-nonrecursive-v2 => flatten-nonrecursive}/solution.js (100%)
 rename task-archieve/{flatten-nonrecursive-v2 => flatten-nonrecursive}/task.md (98%)

diff --git a/task-archieve/README.md b/task-archieve/README.md
index e1906b7..45fd1a0 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -14,7 +14,7 @@ _List of tasks_
 - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 - [Longest sequence of ones](./longest-sequence-of-ones/task.md)
 - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
-- [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
+- [Flatten non-recursive](./flatten-nonrecursive/task.md)
 - [Intersection of intervals](./intersection-intervals/task.md)
 - [Sort the Matrix diagonally](./matrix-diagonal-sort/task.md)
 - [Keygen](./keygen/task.md)
diff --git a/task-archieve/flatten-nonrecursive-v2/solution-2.js b/task-archieve/flatten-nonrecursive/solution-2.js
similarity index 100%
rename from task-archieve/flatten-nonrecursive-v2/solution-2.js
rename to task-archieve/flatten-nonrecursive/solution-2.js
diff --git a/task-archieve/flatten-nonrecursive-v2/solution.js b/task-archieve/flatten-nonrecursive/solution.js
similarity index 100%
rename from task-archieve/flatten-nonrecursive-v2/solution.js
rename to task-archieve/flatten-nonrecursive/solution.js
diff --git a/task-archieve/flatten-nonrecursive-v2/task.md b/task-archieve/flatten-nonrecursive/task.md
similarity index 98%
rename from task-archieve/flatten-nonrecursive-v2/task.md
rename to task-archieve/flatten-nonrecursive/task.md
index 80d6435..e82a93d 100644
--- a/task-archieve/flatten-nonrecursive-v2/task.md
+++ b/task-archieve/flatten-nonrecursive/task.md
@@ -1,4 +1,4 @@
-# Flatten non-recursive v2
+# Flatten non-recursive
 
 Your task is to write a function that flattens the array like so:
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index f57c0be..6a3e8d7 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -32,7 +32,7 @@ _Tasks grouped by_ `Task Type`
   - [Valid Parentheses](./valid-parentheses/task.md)
 
 ### Stack or Queue
-  - [Flatten non-recursive v2](./flatten-nonrecursive-v2/task.md)
+  - [Flatten non-recursive](./flatten-nonrecursive/task.md)
   - [Unpack IP](./unpack-ip/task.md)
 
 ### Array Relation of Indexes and Values

From 9b7a2cb461257875e0446be31903fa99756c8091 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 13 Mar 2024 23:48:26 +0300
Subject: [PATCH 071/110] rename remove duplicates sorted array

---
 task-archieve/README.md                                         | 2 +-
 task-archieve/move-zeroes/task.md                               | 2 +-
 .../solution.js                                                 | 0
 .../task.md                                                     | 2 +-
 task-archieve/sort-colors/task.md                               | 2 +-
 task-archieve/sort-letters-two-arrays/task.md                   | 2 +-
 task-archieve/task-type.md                                      | 2 +-
 7 files changed, 6 insertions(+), 6 deletions(-)
 rename task-archieve/{remove-duplicates-v2 => remove-duplicates-sorted-array}/solution.js (100%)
 rename task-archieve/{remove-duplicates-v2 => remove-duplicates-sorted-array}/task.md (98%)

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 45fd1a0..9266180 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -21,7 +21,7 @@ _List of tasks_
 - [Combinations](./combinations/task.md)
 - [Word Search](./word-search/task.md)
 - [Climbing Stairs](./climb-stairs/task.md)
-- [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)
+- [Remove Duplicates from Sorted Array](./remove-duplicates-sorted-array/task.md)
 - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
 - [Contiguous Array](./contiguous-array/task.md)
 - [Longest Substring Without Repeating Characters](./longest-substring-without-repeating-characters/task.md)
diff --git a/task-archieve/move-zeroes/task.md b/task-archieve/move-zeroes/task.md
index 6968594..952c3d6 100644
--- a/task-archieve/move-zeroes/task.md
+++ b/task-archieve/move-zeroes/task.md
@@ -27,7 +27,7 @@ Output: [0]
 
   <summary><i><b><code>Overwrite elements of one or more arrays. The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer</code></b></i></summary>
 
-    Just like [this task](../remove-duplicates-v2/task.md)
+    Just like [this task](../remove-duplicates-sorted-array/task.md)
 
   </details>
 
diff --git a/task-archieve/remove-duplicates-v2/solution.js b/task-archieve/remove-duplicates-sorted-array/solution.js
similarity index 100%
rename from task-archieve/remove-duplicates-v2/solution.js
rename to task-archieve/remove-duplicates-sorted-array/solution.js
diff --git a/task-archieve/remove-duplicates-v2/task.md b/task-archieve/remove-duplicates-sorted-array/task.md
similarity index 98%
rename from task-archieve/remove-duplicates-v2/task.md
rename to task-archieve/remove-duplicates-sorted-array/task.md
index 05a9fbe..933a190 100644
--- a/task-archieve/remove-duplicates-v2/task.md
+++ b/task-archieve/remove-duplicates-sorted-array/task.md
@@ -1,4 +1,4 @@
-# Remove Duplicates from Sorted Array v2
+# Remove Duplicates from Sorted Array
 
 Given an integer array `nums` sorted in __non-decreasing order__, remove some duplicates __in-place__ such that each unique element appears __at most twice__. The __relative order__ of the elements should be kept the __same__
 
diff --git a/task-archieve/sort-colors/task.md b/task-archieve/sort-colors/task.md
index f33cbe6..eb182f3 100644
--- a/task-archieve/sort-colors/task.md
+++ b/task-archieve/sort-colors/task.md
@@ -24,7 +24,7 @@ Output: [0,1,2]
 
 <summary>Hint</summary>
 
-This is a Task Type for in-place swap and overwrite of the array. We have already seen an example where we need to do in-place _swap_ [here](../sort-letters-two-arrays/task.md) and an example where we need to do in-place _overwrite_ [here](../remove-duplicates-v2/task.md)
+This is a Task Type for in-place swap and overwrite of the array. We have already seen an example where we need to do in-place _swap_ [here](../sort-letters-two-arrays/task.md) and an example where we need to do in-place _overwrite_ [here](../remove-duplicates-sorted-array/task.md)
 
 The beauty of this task is that it can be solved _both_ ways either by _swapping_ elements or _overwriting_ elements of the array
 
diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
index 33ba50d..2c12e5f 100644
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ b/task-archieve/sort-letters-two-arrays/task.md
@@ -72,7 +72,7 @@ To solve this task you need to simply _sort_ the elements of the 2nd array (the
     }
     ```
 
-    __Note:__ this example of a solution above (which we said doesn't solve this particular task, the reason for it is what we saw in Hint 1) doesn't swap but rather overwrites elements of the array. The Approach we are studying in this particular task is called _`Swap elements of one or more arrays`_. To solve this particular task you need to swap elements instead of overwriting them and for the overwrite Approach of this Task Type feel free to check out the [sibling task](../remove-duplicates-v2/task.md)
+    __Note:__ this example of a solution above (which we said doesn't solve this particular task, the reason for it is what we saw in Hint 1) doesn't swap but rather overwrites elements of the array. The Approach we are studying in this particular task is called _`Swap elements of one or more arrays`_. To solve this particular task you need to swap elements instead of overwriting them and for the overwrite Approach of this Task Type feel free to check out the [sibling task](../remove-duplicates-sorted-array/task.md)
 
     __Note:__ we have already seen the ["Push Zeros Case" task](../../2\)%20Task%20Challanges.md#29-push-zeros-case) where we used the In-Place Swap type of algorithm to solve it
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 6a3e8d7..ad7d328 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -46,7 +46,7 @@ _Tasks grouped by_ `Task Type`
 
 ### In-Place Swap and Overwrite
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
-  - [Remove Duplicates from Sorted Array v2](./remove-duplicates-v2/task.md)
+  - [Remove Duplicates from Sorted Array](./remove-duplicates-sorted-array/task.md)
   - [Sort Colors](./sort-colors/task.md)
 
 ### Matrix

From afda1c2635b969bce734137fb9cbb0263a47a72d Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 15 Mar 2024 00:14:57 +0300
Subject: [PATCH 072/110] write about debugger calm

---
 task-archieve/extra-documentation.md | 23 +++++++++++++++++++++--
 1 file changed, 21 insertions(+), 2 deletions(-)

diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
index 80e504b..c60dfc5 100644
--- a/task-archieve/extra-documentation.md
+++ b/task-archieve/extra-documentation.md
@@ -54,8 +54,9 @@ Therefore the structure of the main menu page where we see tasks grouped by Task
 ```
 - Task Type
   - Task
-    * Approach
-    * Similar Tasks
+    - Approach
+      * Variation of Approach
+    - Similar Tasks
 ```
 
 __Note:__ in the hardest cases different Approaches may call to help each other in a relationship many to many for the solution of a particular Task. Naturally in this case we enlist a Task under the header of the Task Type whose Approach is more crucial to the solution of this Task
@@ -64,8 +65,26 @@ __Note:__ a very useful component of the Task Archieve is indeed [Task Type Summ
 
 The rest is simple: learn all the different Approaches, study them, remember them and solidify your knowledge of all the different Approaches and Task Types by studying Tasks and solving Similar Tasks and finally apply all this knowledge and see yourself cracking some of the hardest algorithmic problems with ease and grace
 
+It is also to be noted that in the description of any Task you can find the famous "Task Type" spoiler where grouped by Task Type you can find all the Approaches applicable to the Task. Open the spoiler of any Approach in order to see how it can be applied to solve the Task along with description of how the Approach works. This way solving any Task you can go on to the next Task not merely with a solution of the previous Task but also somewhat wiser than before
+
 ## Bonus
 
+### How to understand an algorithm
+
+Sometimes you are looking at a solution to a Task and you can't understand how this solution works. Then you read the explanation provided and you still don't understand it. The thing is, most of the explanation is in the code and knowing that the author of the explanation goes only as far as needed in his efforts to explain. This here article solves this little misunderstanding
+
+One can't understand the code when contemplating it merely because one can't see _all_ parts of the code in action when running the code in his head and should he venture to run the code in real life when it runs so fast that all the important parts evade him all at once once again. Fortunately there is a solution to this minor drawback
+
+In any text editor or in the browser there is a tool called "Debugger". You can learn how to use Debugger for example in "learnjavascript Tutorial" > "Code quality" > "Debugging in the browser". Note that the mechanics of using the Debugger in the browser are the same for the Debugger in any IDE or Code Editor so learnjavascript Tutorial is a good place to learn about it
+
+Debugger can be used not only for debugging your code but also for learning how the code works. Debugger allows to start running your code and then pause it at any point in code where you tell it to do so. The place you tell Debugger to pause execution of your code is called a "breakpoint". For example you can set a breakpoint inside a for-loop and the Debugger will pause the code on each iteration. Thus Debugger essentially allows you to slow down the execution of your code to as slow a speed as you wish
+
+With Debugger you can pause and resume your code at any point of the algorithm. This way you are enabled to run the algorithm not at the speed of light but rather at any speed you want. Thus running the algorithm at a very slow speed with the Debugger you can carefully analyze all the relations between all the values of the code in the flow of its algorithm and see how this flow really proceeds. And this is exactly what your mind needs before it can easily see and understand the algorithm of the code you have been looking at
+
+Thus you can use Debugger in order to understand the algorithm of any code you want. Feel free to make notes or draw when analyzing the code with the Debugger and feel free to read any extra explanations you can find here to help you understand all the algorithms you see here
+
+Once you understand the algorithm of the solution of a specific Task you may note that any solution you find here is tied to one of the many Approaches you can find in this here project. Like we said earlier Approach is merely a more general algorithm that can be applied to come up with similar algorithms for solution of many tasks. Having understood the algorithm of a specific solution you will realize how you are instantly enabled to understand the Approach used in general. This way you will be enabled to use the Approach learnt as a building block in your future complex algorithms for the solutions of many Tasks! And all because you were enabled to understand the algorithm in the first place by using Debugger to learn. This technique of using Debugger to understand the algorithm of how any code works we call here _Debugger calm_ because it is a calm and fulfilling way to go about it
+
 ### When you can't solve something
 
 One should never worry regarding the matter or suffer any other kindred blunders so characteristic of a studious mind

From 0831a92456ea5a3021d2e991b3ad13ca0f2c33b8 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 22 Mar 2024 19:56:05 +0300
Subject: [PATCH 073/110] structure task type summary

---
 task-archieve/task-type-summary/README.md     |   4 +-
 task-archieve/task-type-summary/algorithms.md | 337 ++++++++++++
 ...{task-type-summary-general.md => array.md} | 483 +-----------------
 .../task-type-summary/data-structures.md      | 150 ++++++
 task-archieve/task-type.md                    |  14 +-
 5 files changed, 498 insertions(+), 490 deletions(-)
 create mode 100644 task-archieve/task-type-summary/algorithms.md
 rename task-archieve/task-type-summary/{task-type-summary-general.md => array.md} (53%)
 create mode 100644 task-archieve/task-type-summary/data-structures.md

diff --git a/task-archieve/task-type-summary/README.md b/task-archieve/task-type-summary/README.md
index 7c41268..6f34903 100644
--- a/task-archieve/task-type-summary/README.md
+++ b/task-archieve/task-type-summary/README.md
@@ -4,7 +4,9 @@
 
 ## Contents
 
-- [General](./task-type-summary-general.md)
+- [Array](./array.md)
+- [Data Structures](./data-structures.md)
+- [Algorithms](./algorithms.md)
 
 ---
 
diff --git a/task-archieve/task-type-summary/algorithms.md b/task-archieve/task-type-summary/algorithms.md
new file mode 100644
index 0000000..05eb7c6
--- /dev/null
+++ b/task-archieve/task-type-summary/algorithms.md
@@ -0,0 +1,337 @@
+# Task Type Summary Algorithms
+
+## __`Check if Puzzle is Solvable`__
+
+1. __*`Call the function recursively and see if it solves the puzzle`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(game) {
+        for (let i = 0; i < game[0].length; i++) {
+            for (let j = 0; j < game.length; j++) {
+                logic(game[j][i]);
+
+                if (approach()) {
+                    return true;
+                }
+            }
+        }
+
+        return false;
+    }
+    ```
+
+    ---
+
+    </details>
+
+---
+
+## __`Numbers Math`__
+
+1. __*`Use Prime Numbers`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach() {
+        logic(getPrimes, isPrime);
+    }
+
+    function getPrimes(limit = 0) {
+        const primes = [];
+
+        if (limit === 0) {
+            return primes;
+        }
+
+        primes.push(2);
+
+        for (let i = 3; i <= limit; i++) {
+            let found = true;
+
+            for (let j = 0; j < primes.length; j++) {
+                if (i % primes[j] === 0) {
+                    found = false;
+                    break;
+                }
+            }
+
+            if (found) {
+                primes.push(i);
+            }
+        }
+
+        return primes;
+    }
+
+    function isPrime(num) {
+        if (num <= 1) {
+            return false;
+        }
+
+        for (let i = 2; i <= Math.sqrt(num); i++) {
+            if (num % i === 0) {
+                return false;
+            }
+        }
+
+        return true;
+    }
+    ```
+
+    __Output:__ `2`, `3`, `5`, `7`, `11`, `13`, `17`, `19`, `23`, `29`, `31`, `37`, `41`, `43`, `47`, ...
+
+    ---
+
+    </details>
+
+2. __*`Use Fibonacci Sequence`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach() {
+        logic(fibonacci, getFibonacci);
+    }
+
+    function fibonacci(length = 0) {
+        if (length === 0) {
+            return [];
+        }
+
+        if (length === 1) {
+            return [0];
+        }
+
+        const nums = [0, 1];
+
+        if (length === 2) {
+            return nums;
+        }
+
+        for (let i = 2; i < length; i++) {
+            nums[i] = nums[i - 1] + nums[i - 2];
+        }
+
+        return nums;
+    }
+
+    function getFibonacci(position = 0) {
+        if (position <= 1) {
+            return position;
+        }
+
+        let prev = 1;
+        let current = 2;
+        let i = 3;
+
+        while (i < position) {
+            const sum = prev + current;
+
+            prev = current;
+            current = sum;
+
+            i++;
+        }
+
+        return current;
+    }
+    ```
+
+    __Output:__ `0`, `1`, `1`, `2`, `3`, `5`, `8`, `13`, `21`, `34`, ...
+
+    ---
+
+    </details>
+
+---
+
+## __`Backtracking`__
+
+1. __*`Get all permutations of values of an array in any order`*__
+    <details>
+
+    <summary>Code</summary>
+
+    Call the function recursively taking out each element out of the array per iteration
+
+    ```js
+    function approach(array) {
+        const permutations = [];
+
+        if (array.length === 1) { // recursion exit condition
+            return [[array[0]]];
+        }
+
+        for (let i = 0; i < array.length; i++) {
+            const picked = [array[i]];
+            const rest = approach(
+                array.filter((_value, index) => index !== i)
+            );
+
+            for (let j = 0; j < rest.length; j++) {
+                const next = [...picked, ...rest[j]];
+
+                permutations.push(next);
+            }
+        }
+
+        logic(permutations);
+
+        return permutations;
+    }
+    ```
+
+    __Input:__ `[1, 2, 3]`
+
+    __Output:__ `[ 1, 2, 3 ]`, `[ 1, 3, 2 ]`, `[ 2, 1, 3 ]`, `[ 2, 3, 1 ]`, `[ 3, 1, 2 ]`, `[ 3, 2, 1 ]`
+
+    ---
+
+    </details>
+
+2. __*`Get all unique combinations of values of an array in any order`*__
+    <details>
+
+    <summary>Code</summary>
+
+    Depth-first Search of Array
+
+    ```js
+    function approach(array) {
+        const combinations = [];
+
+        function dfs(current, offset) {
+            combinations.push(current);
+
+            logic(current);
+
+            if (offset === array.length) {
+                return;
+            }
+
+            for (let i = offset; i < array.length; i++) {
+                dfs([...current, array[i]], i + 1);
+            }
+        }
+
+        dfs([], 0);
+
+        logic(combinations);
+    }
+    ```
+
+    __Input:__ `[1, 2, 3]`
+
+    __Output:__ `[]`, `[1]`, `[2]`, `[3]`, `[1,2]`, `[1,3]`, `[2,3]`, `[1,2,3]`
+
+    ---
+
+    </details>
+
+3. __*`Get all unique combinations of values of many arrays in any order`*__
+    <details>
+
+    <summary>Code</summary>
+
+    Adapt the Approach _`Merge two Queues of prefixes`_
+
+    __*queue:*__
+
+    ```js
+    function approach(...arrays) {
+        let queue = [[]];
+
+        for (const array of arrays) {
+            const currentQueue = [];
+
+            while (queue.length > 0) {
+                const currentArray = queue.shift();
+
+                for (const element of array) {
+                    currentQueue.push([...currentArray, element]);
+                }
+            }
+
+            queue = currentQueue;
+        }
+
+        logic(queue);
+    }
+    ```
+
+    __*recursion:*__
+
+    ```js
+    function approach(...arrays) {
+        const result = [];
+
+        function backtrack(prefix, offset) {
+            if (offset === arrays.length) {
+                result.push(prefix);
+                return;
+            }
+
+            const array = arrays[offset];
+
+            for (const value of array) {
+                backtrack([...prefix, value], offset + 1);
+            }
+        }
+
+        backtrack([], 0);
+
+        logic(result);
+    }
+    ```
+
+    __Input:__ `['1', '2', '3']`, `['a', 'b', 'c']`, `['*', '#', '$']`
+
+    __Output:__
+    ```
+    [ 1, 'a', '*' ]
+    [ 1, 'a', '#' ]
+    [ 1, 'a', '$' ]
+    [ 1, 'b', '*' ]
+    [ 1, 'b', '#' ]
+    [ 1, 'b', '$' ]
+    [ 1, 'c', '*' ]
+    [ 1, 'c', '#' ]
+    [ 1, 'c', '$' ]
+    [ 2, 'a', '*' ]
+    [ 2, 'a', '#' ]
+    [ 2, 'a', '$' ]
+    [ 2, 'b', '*' ]
+    [ 2, 'b', '#' ]
+    [ 2, 'b', '$' ]
+    [ 2, 'c', '*' ]
+    [ 2, 'c', '#' ]
+    [ 2, 'c', '$' ]
+    [ 3, 'a', '*' ]
+    [ 3, 'a', '#' ]
+    [ 3, 'a', '$' ]
+    [ 3, 'b', '*' ]
+    [ 3, 'b', '#' ]
+    [ 3, 'b', '$' ]
+    [ 3, 'c', '*' ]
+    [ 3, 'c', '#' ]
+    [ 3, 'c', '$' ]
+    ```
+
+    ---
+
+    </details>
+
+---
+
+## __`Tabulation`__
+
+---
+
+| [:arrow_left: back](./README.md) |
+| :---: |
diff --git a/task-archieve/task-type-summary/task-type-summary-general.md b/task-archieve/task-type-summary/array.md
similarity index 53%
rename from task-archieve/task-type-summary/task-type-summary-general.md
rename to task-archieve/task-type-summary/array.md
index 79e0f9c..ab85717 100644
--- a/task-archieve/task-type-summary/task-type-summary-general.md
+++ b/task-archieve/task-type-summary/array.md
@@ -1,4 +1,4 @@
-# Task Type Summary General
+# Task Type Summary Array
 
 ## __`One Pointer One Array`__
 
@@ -369,106 +369,6 @@
 
 ---
 
-## __`Stack or Queue`__
-
-1. __*`Do while loop while Stack is not empty popping and pushing along the way`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        const stack = [];
-
-        logic(stack);
-
-        while(stack.length) {
-            logic(array, stack); // stack.push() stack.pop()
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
-2. __*`Do while loop while Queue is not empty queueing and dequeueing along the way`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        const queue = [];
-
-        logic(queue);
-
-        while(queue.length) {
-            logic(array, queue); // queue.push() queue.shift()
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
-3. __*`Merge two Queues of prefixes`*__
-    <details>
-
-    <summary>Code</summary>
-
-    __*queue:*__
-
-    ```js
-    function approach() {
-        let queue = [];
-
-        logic(queue);
-
-        while (condition()) {
-            const currentQueue = [];
-
-            while (queue.length > 0) {
-                const element = queue.shift();
-
-                currentQueue.push(...logic(element));
-            }
-
-            queue = currentQueue;
-        }
-    }
-    ```
-
-    __*recursion:*__
-
-    ```js
-    function approach(array) {
-        const result = [];
-
-        function backtrack(prefix, offset) {
-            if (offset === array.length) {
-                result.push(prefix);
-                return;
-            }
-
-            const value = array[offset];
-
-            backtrack([...prefix, ...logic(value)], offset + 1);
-        }
-
-        backtrack([], 0);
-
-        logic(result);
-    }
-    ```
-
-    ---
-
-    </details>
-
----
-
 ## __`Array Relation of Indexes and Values`__
 
 1. __*`Find the relation between the indexes of the array`*__
@@ -653,386 +553,5 @@
 
 ---
 
-## __`Matrix`__
-
-1. __*`Iterate a Matrix`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(matrix) {
-        let i;
-        let j;
-
-        // horizontal
-        for (i = 0; i < matrix[0].length; i++) {
-            logic(matrix[0][i]);
-        }
-
-        // vertical
-        for (j = 0; j < matrix.length; j++) {
-            logic(matrix[j][0]);
-        }
-
-        // diagonal
-        for (i = 0, j = 0; i < matrix[0].length && j < matrix.length; i++, j++) {
-            logic(matrix[j][i]);
-        }
-    }
-    ```
-
-    __Input:__
-    ```
-    [
-        [1, 2, 3],
-        [4, 5, 6],
-        [7, 8, 9],
-    ]
-    ```
-
-    __Output:__ horizontal: `1`, `2`, `3`, vertical: `1`, `4`, `7`, diagonal: `1`, `5`, `9`
-
-    ---
-
-    </details>
-
----
-
-## __`Numbers Math`__
-
-1. __*`Use Prime Numbers`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach() {
-        logic(getPrimes, isPrime);
-    }
-
-    function getPrimes(limit = 0) {
-        const primes = [];
-
-        if (limit === 0) {
-            return primes;
-        }
-
-        primes.push(2);
-
-        for (let i = 3; i <= limit; i++) {
-            let found = true;
-
-            for (let j = 0; j < primes.length; j++) {
-                if (i % primes[j] === 0) {
-                    found = false;
-                    break;
-                }
-            }
-
-            if (found) {
-                primes.push(i);
-            }
-        }
-
-        return primes;
-    }
-
-    function isPrime(num) {
-        if (num <= 1) {
-            return false;
-        }
-
-        for (let i = 2; i <= Math.sqrt(num); i++) {
-            if (num % i === 0) {
-                return false;
-            }
-        }
-
-        return true;
-    }
-    ```
-
-    __Output:__ `2`, `3`, `5`, `7`, `11`, `13`, `17`, `19`, `23`, `29`, `31`, `37`, `41`, `43`, `47`, ...
-
-    ---
-
-    </details>
-
-2. __*`Use Fibonacci Sequence`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach() {
-        logic(fibonacci, getFibonacci);
-    }
-
-    function fibonacci(length = 0) {
-        if (length === 0) {
-            return [];
-        }
-
-        if (length === 1) {
-            return [0];
-        }
-
-        const nums = [0, 1];
-
-        if (length === 2) {
-            return nums;
-        }
-
-        for (let i = 2; i < length; i++) {
-            nums[i] = nums[i - 1] + nums[i - 2];
-        }
-
-        return nums;
-    }
-
-    function getFibonacci(position = 0) {
-        if (position <= 1) {
-            return position;
-        }
-
-        let prev = 1;
-        let current = 2;
-        let i = 3;
-
-        while (i < position) {
-            const sum = prev + current;
-
-            prev = current;
-            current = sum;
-
-            i++;
-        }
-
-        return current;
-    }
-    ```
-
-    __Output:__ `0`, `1`, `1`, `2`, `3`, `5`, `8`, `13`, `21`, `34`, ...
-
-    ---
-
-    </details>
-
----
-
-## __`Check if Puzzle is Solvable`__
-
-1. __*`Call the function recursively and see if it solves the puzzle`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(game) {
-        for (let i = 0; i < game[0].length; i++) {
-            for (let j = 0; j < game.length; j++) {
-                logic(game[j][i]);
-
-                if (approach()) {
-                    return true;
-                }
-            }
-        }
-
-        return false;
-    }
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`Backtracking`__
-
-1. __*`Get all permutations of values of an array in any order`*__
-    <details>
-
-    <summary>Code</summary>
-
-    Call the function recursively taking out each element out of the array per iteration
-
-    ```js
-    function approach(array) {
-        const permutations = [];
-
-        if (array.length === 1) { // recursion exit condition
-            return [[array[0]]];
-        }
-
-        for (let i = 0; i < array.length; i++) {
-            const picked = [array[i]];
-            const rest = approach(
-                array.filter((_value, index) => index !== i)
-            );
-
-            for (let j = 0; j < rest.length; j++) {
-                const next = [...picked, ...rest[j]];
-
-                permutations.push(next);
-            }
-        }
-
-        logic(permutations);
-
-        return permutations;
-    }
-    ```
-
-    __Input:__ `[1, 2, 3]`
-
-    __Output:__ `[ 1, 2, 3 ]`, `[ 1, 3, 2 ]`, `[ 2, 1, 3 ]`, `[ 2, 3, 1 ]`, `[ 3, 1, 2 ]`, `[ 3, 2, 1 ]`
-
-    ---
-
-    </details>
-
-2. __*`Get all unique combinations of values of an array in any order`*__
-    <details>
-
-    <summary>Code</summary>
-
-    Depth-first Search of Array
-
-    ```js
-    function approach(array) {
-        const combinations = [];
-
-        function dfs(current, offset) {
-            combinations.push(current);
-
-            logic(current);
-
-            if (offset === array.length) {
-                return;
-            }
-
-            for (let i = offset; i < array.length; i++) {
-                dfs([...current, array[i]], i + 1);
-            }
-        }
-
-        dfs([], 0);
-
-        logic(combinations);
-    }
-    ```
-
-    __Input:__ `[1, 2, 3]`
-
-    __Output:__ `[]`, `[1]`, `[2]`, `[3]`, `[1,2]`, `[1,3]`, `[2,3]`, `[1,2,3]`
-
-    ---
-
-    </details>
-
-3. __*`Get all unique combinations of values of many arrays in any order`*__
-    <details>
-
-    <summary>Code</summary>
-
-    Adapt the Approach _`Merge two Queues of prefixes`_
-
-    __*queue:*__
-
-    ```js
-    function approach(...arrays) {
-        let queue = [[]];
-
-        for (const array of arrays) {
-            const currentQueue = [];
-
-            while (queue.length > 0) {
-                const currentArray = queue.shift();
-
-                for (const element of array) {
-                    currentQueue.push([...currentArray, element]);
-                }
-            }
-
-            queue = currentQueue;
-        }
-
-        logic(queue);
-    }
-    ```
-
-    __*recursion:*__
-
-    ```js
-    function approach(...arrays) {
-        const result = [];
-
-        function backtrack(prefix, offset) {
-            if (offset === arrays.length) {
-                result.push(prefix);
-                return;
-            }
-
-            const array = arrays[offset];
-
-            for (const value of array) {
-                backtrack([...prefix, value], offset + 1);
-            }
-        }
-
-        backtrack([], 0);
-
-        logic(result);
-    }
-    ```
-
-    __Input:__ `['1', '2', '3']`, `['a', 'b', 'c']`, `['*', '#', '$']`
-
-    __Output:__
-    ```
-    [ 1, 'a', '*' ]
-    [ 1, 'a', '#' ]
-    [ 1, 'a', '$' ]
-    [ 1, 'b', '*' ]
-    [ 1, 'b', '#' ]
-    [ 1, 'b', '$' ]
-    [ 1, 'c', '*' ]
-    [ 1, 'c', '#' ]
-    [ 1, 'c', '$' ]
-    [ 2, 'a', '*' ]
-    [ 2, 'a', '#' ]
-    [ 2, 'a', '$' ]
-    [ 2, 'b', '*' ]
-    [ 2, 'b', '#' ]
-    [ 2, 'b', '$' ]
-    [ 2, 'c', '*' ]
-    [ 2, 'c', '#' ]
-    [ 2, 'c', '$' ]
-    [ 3, 'a', '*' ]
-    [ 3, 'a', '#' ]
-    [ 3, 'a', '$' ]
-    [ 3, 'b', '*' ]
-    [ 3, 'b', '#' ]
-    [ 3, 'b', '$' ]
-    [ 3, 'c', '*' ]
-    [ 3, 'c', '#' ]
-    [ 3, 'c', '$' ]
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`Tabulation`__
-
-<!-- TODO: here -->
-
----
-
 | [:arrow_left: back](./README.md) |
 | :---: |
diff --git a/task-archieve/task-type-summary/data-structures.md b/task-archieve/task-type-summary/data-structures.md
new file mode 100644
index 0000000..bc48705
--- /dev/null
+++ b/task-archieve/task-type-summary/data-structures.md
@@ -0,0 +1,150 @@
+# Task Type Summary Data Structures
+
+## __`Stack or Queue`__
+
+1. __*`Do while loop while Stack is not empty popping and pushing along the way`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const stack = [];
+
+        logic(stack);
+
+        while(stack.length) {
+            logic(array, stack); // stack.push() stack.pop()
+        }
+    }
+    ```
+
+    ---
+
+    </details>
+
+2. __*`Do while loop while Queue is not empty queueing and dequeueing along the way`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const queue = [];
+
+        logic(queue);
+
+        while(queue.length) {
+            logic(array, queue); // queue.push() queue.shift()
+        }
+    }
+    ```
+
+    ---
+
+    </details>
+
+3. __*`Merge two Queues of prefixes`*__
+    <details>
+
+    <summary>Code</summary>
+
+    __*queue:*__
+
+    ```js
+    function approach() {
+        let queue = [];
+
+        logic(queue);
+
+        while (condition()) {
+            const currentQueue = [];
+
+            while (queue.length > 0) {
+                const element = queue.shift();
+
+                currentQueue.push(...logic(element));
+            }
+
+            queue = currentQueue;
+        }
+    }
+    ```
+
+    __*recursion:*__
+
+    ```js
+    function approach(array) {
+        const result = [];
+
+        function backtrack(prefix, offset) {
+            if (offset === array.length) {
+                result.push(prefix);
+                return;
+            }
+
+            const value = array[offset];
+
+            backtrack([...prefix, ...logic(value)], offset + 1);
+        }
+
+        backtrack([], 0);
+
+        logic(result);
+    }
+    ```
+
+    ---
+
+    </details>
+
+---
+
+## __`Matrix`__
+
+1. __*`Iterate a Matrix`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(matrix) {
+        let i;
+        let j;
+
+        // horizontal
+        for (i = 0; i < matrix[0].length; i++) {
+            logic(matrix[0][i]);
+        }
+
+        // vertical
+        for (j = 0; j < matrix.length; j++) {
+            logic(matrix[j][0]);
+        }
+
+        // diagonal
+        for (i = 0, j = 0; i < matrix[0].length && j < matrix.length; i++, j++) {
+            logic(matrix[j][i]);
+        }
+    }
+    ```
+
+    __Input:__
+    ```
+    [
+        [1, 2, 3],
+        [4, 5, 6],
+        [7, 8, 9],
+    ]
+    ```
+
+    __Output:__ horizontal: `1`, `2`, `3`, vertical: `1`, `4`, `7`, diagonal: `1`, `5`, `9`
+
+    ---
+
+    </details>
+
+---
+
+| [:arrow_left: back](./README.md) |
+| :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index ad7d328..3d12c2e 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -31,10 +31,6 @@ _Tasks grouped by_ `Task Type`
 ### Array and Stack or Queue
   - [Valid Parentheses](./valid-parentheses/task.md)
 
-### Stack or Queue
-  - [Flatten non-recursive](./flatten-nonrecursive/task.md)
-  - [Unpack IP](./unpack-ip/task.md)
-
 ### Array Relation of Indexes and Values
   - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
   - [Zigzag Conversion](./zigzag-conversion/task.md)
@@ -49,17 +45,21 @@ _Tasks grouped by_ `Task Type`
   - [Remove Duplicates from Sorted Array](./remove-duplicates-sorted-array/task.md)
   - [Sort Colors](./sort-colors/task.md)
 
+### Stack or Queue
+  - [Flatten non-recursive](./flatten-nonrecursive/task.md)
+  - [Unpack IP](./unpack-ip/task.md)
+
 ### Matrix
   - [Sort the Matrix diagonally](./matrix-diagonal-sort/task.md)
 
+### Check if Puzzle is Solvable
+  - [Word Search](./word-search/task.md)
+
 ### Numbers Math
   - [Keygen](./keygen/task.md)
   - [Maximum Product Subarray](./maximum-product-subarray/task.md)
   - [Climbing Stairs](./climb-stairs/task.md)
 
-### Check if Puzzle is Solvable
-  - [Word Search](./word-search/task.md)
-
 ### Backtracking
   - [Combinations](./combinations/task.md)
   - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)

From 950b7187216c7137ac264fca144f03416f064cb8 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 25 Mar 2024 16:34:33 +0300
Subject: [PATCH 074/110] reverse array task and update template

---
 task-archieve/README.md                       |  1 +
 task-archieve/reverse-array/solution-2.js     | 18 ++++++
 task-archieve/reverse-array/solution.js       | 12 ++++
 task-archieve/reverse-array/task.md           | 48 ++++++++++++++++
 task-archieve/task-type-summary/array.md      | 51 ++++++++++++-----
 task-archieve/task-type.md                    |  2 +
 task-archieve/template/README.md              | 11 +++-
 task-archieve/template/approach.md            |  1 +
 task-archieve/template/similar-task.md        | 50 -----------------
 .../template/task-type-2-approach.md          | 56 +++++++++++++++++++
 .../{task.md => task-type-approach-2.md}      | 44 +++------------
 task-archieve/template/task-type-approach.md  | 41 ++++++++++++++
 .../template/task-type-summary-nested.md      | 40 +++++++++++++
 task-archieve/template/task-type-summary.md   | 12 ++--
 task-archieve/template/task-type.md           |  1 +
 15 files changed, 277 insertions(+), 111 deletions(-)
 create mode 100644 task-archieve/reverse-array/solution-2.js
 create mode 100644 task-archieve/reverse-array/solution.js
 create mode 100644 task-archieve/reverse-array/task.md
 create mode 100644 task-archieve/template/approach.md
 delete mode 100644 task-archieve/template/similar-task.md
 create mode 100644 task-archieve/template/task-type-2-approach.md
 rename task-archieve/template/{task.md => task-type-approach-2.md} (51%)
 create mode 100644 task-archieve/template/task-type-approach.md
 create mode 100644 task-archieve/template/task-type-summary-nested.md
 create mode 100644 task-archieve/template/task-type.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 9266180..34356da 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -9,6 +9,7 @@ _List of tasks_
 [:ledger: _Task Template_](./template/README.md)
 
 - [Find Peak Element](./find-peak-element/task.md)
+- [Reverse an Array](./reverse-array/task.md)
 - [Container With Most Water](./most-water/task.md)
 - [Zigzag Conversion](./zigzag-conversion/task.md)
 - [Longest sequence of letters](./longest-letter-subsequence/task.md)
diff --git a/task-archieve/reverse-array/solution-2.js b/task-archieve/reverse-array/solution-2.js
new file mode 100644
index 0000000..68f8fbb
--- /dev/null
+++ b/task-archieve/reverse-array/solution-2.js
@@ -0,0 +1,18 @@
+function reverse(array) {
+    const middle = Math.floor(array.length / 2);
+
+    for (let i = 0; i < middle; i++) {
+        const j = array.length - i - 1;
+
+        swap(array, i, j);
+    }
+
+    return array;
+}
+
+function swap(array, a, b) {
+    ([array[a], array[b]] = [array[b], array[a]]);
+}
+
+reverse([1,2,3,4]);
+reverse(['a','b','c']);
diff --git a/task-archieve/reverse-array/solution.js b/task-archieve/reverse-array/solution.js
new file mode 100644
index 0000000..4747e4e
--- /dev/null
+++ b/task-archieve/reverse-array/solution.js
@@ -0,0 +1,12 @@
+function reverse(array) {
+    const result = [];
+
+    for (let i = array.length - 1; i >= 0; i--) {
+        result.push(array[i]);
+    }
+
+    return result;
+}
+
+reverse([1,2,3,4]);
+reverse(['a','b','c']);
diff --git a/task-archieve/reverse-array/task.md b/task-archieve/reverse-array/task.md
new file mode 100644
index 0000000..56cd2ca
--- /dev/null
+++ b/task-archieve/reverse-array/task.md
@@ -0,0 +1,48 @@
+# Reverse an Array
+
+You need to merely reverse an array of values
+
+__Example 1:__
+
+```
+Input: [1,2,3,4]
+Output: [4,3,2,1]
+```
+
+__Example 2:__
+
+```
+Input: ['a','b','c']
+Output: ['c','b','a']
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+- __`One Pointer One Array`__
+  <details>
+
+  <summary><i><b><code>Iterate an array in reverse</code></b></i></summary>
+
+    We can iterate the array in reverse, create a new array with all the elements in reverse order and return the new array. Applying this Approach we can create a solution that uses `O(n)` memory where `n` is the size of the array
+
+  </details>
+
+---
+
+- __`In-Place Swap and Overwrite`__
+  <details>
+
+  <summary><i><b><code>Swap elements of one or more arrays. Swap one part of the array with the other part of the array</code></b></i></summary>
+
+    We can separate the array in the middle into two equal parts. Then we swap the elements of the first part with the elements of the other part. For example if we use pointer `i` to iterate the array then we swap element `i` (element from the first part) with element `length - i` (element from the other part). Applying this Approach we can create a solution that uses `O(1)` memory which is good
+
+  </details>
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
diff --git a/task-archieve/task-type-summary/array.md b/task-archieve/task-type-summary/array.md
index ab85717..c2d9968 100644
--- a/task-archieve/task-type-summary/array.md
+++ b/task-archieve/task-type-summary/array.md
@@ -473,25 +473,50 @@
 ## __`In-Place Swap and Overwrite`__
 
 1. __*`Swap elements of one or more arrays`*__
-    <details>
+    1. __*`Swap elements of one or more arrays`*__
+        <details>
 
-    <summary>Code</summary>
+        <summary>Code</summary>
 
-    ```js
-    function approach(array) {
-        for (let i = 0; i < array.length; i++) {
-            logic(array, i, swap);
+        ```js
+        function approach(array) {
+            for (let i = 0; i < array.length; i++) {
+                logic(array, i, swap);
+            }
         }
-    }
 
-    function swap(array, i1, i2) {
-        ([array[i1], array[i2]] = [array[i2], array[i1]]);
-    }
-    ```
+        function swap(array, i1, i2) {
+            ([array[i1], array[i2]] = [array[i2], array[i1]]);
+        }
+        ```
 
-    ---
+        ---
 
-    </details>
+        </details>
+    2. __*`Swap one part of the array with the other part of the array`*__
+        <details>
+
+        <summary>Code</summary>
+
+        ```js
+        function approach(array) {
+            const partsSeparator = logic(array);
+
+            for (let i = 0; i < partsSeparator; i++) {
+                const j = logic(array, i);
+
+                swap(array, i, j);
+            }
+        }
+
+        function swap(array, i1, i2) {
+            ([array[i1], array[i2]] = [array[i2], array[i1]]);
+        }
+        ```
+
+        ---
+
+        </details>
 
 2. __*`Overwrite elements of one or more arrays`*__
     1. __*`The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer`*__
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 3d12c2e..94be846 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -9,6 +9,7 @@ _Tasks grouped by_ `Task Type`
 ### One Pointer One Array
   - [Find Peak Element](./find-peak-element/task.md)
   - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
+  - [Reverse an Array](./reverse-array/task.md)
 
 ### Two Pointers Two Arrays
   - [Intersection of intervals](./intersection-intervals/task.md)
@@ -44,6 +45,7 @@ _Tasks grouped by_ `Task Type`
   - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
   - [Remove Duplicates from Sorted Array](./remove-duplicates-sorted-array/task.md)
   - [Sort Colors](./sort-colors/task.md)
+  - [Reverse an Array](./reverse-array/task.md)
 
 ### Stack or Queue
   - [Flatten non-recursive](./flatten-nonrecursive/task.md)
diff --git a/task-archieve/template/README.md b/task-archieve/template/README.md
index 68a24d2..673e45b 100644
--- a/task-archieve/template/README.md
+++ b/task-archieve/template/README.md
@@ -1,14 +1,19 @@
 # Task Template
 
-- [Task](./task.md)
-- [Similar Task](./similar-task.md)
-- [Task Type Summary](./task-type-summary.md)
+- [__Task Type__](./task-type.md) (*_text_)
+- [__Approach__](./approach.md) (*_text_)
+- [__Task Type Approach__](./task-type-approach.md) (*_task_)
+- [__Task Type 2x Approach__](./task-type-2-approach.md) (*_task_)
+- [__Task Type Approach 2x__](./task-type-approach-2.md) (*_task_)
+- [__Task Type Summary__](./task-type-summary.md) (*_task type summary_)
+- [__Task Type Summary Nested__](./task-type-summary-nested.md) (*_task type summary_)
 
 ### Checklist
 
 - [x] [__README.md__](../README.md)
 - [x] [__task-type.md__](../task-type.md)
 - [x] [__task-type-summary__](../task-type-summary/README.md)
+
 <!-- * NOTE: when renaming Task Type or Approach simply COMMAND+SHIFT+F the name across the entire project -->
 
 ---
diff --git a/task-archieve/template/approach.md b/task-archieve/template/approach.md
new file mode 100644
index 0000000..c722d70
--- /dev/null
+++ b/task-archieve/template/approach.md
@@ -0,0 +1 @@
+the _`TODO`_ Approach
\ No newline at end of file
diff --git a/task-archieve/template/similar-task.md b/task-archieve/template/similar-task.md
deleted file mode 100644
index ab044d2..0000000
--- a/task-archieve/template/similar-task.md
+++ /dev/null
@@ -1,50 +0,0 @@
-# TODO
-
-TODO: description
-
-<details>
-
-<summary>Hint</summary>
-
-TODO: optional: hint description
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`TODO: Task Type 1`__
-  <details>
-
-  <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
-
-    Just like [this task](TODO: link). TODO: optional: details
-
-  </details>
-
-</details>
-
-<!-- MOST COMMON TEMPLATE:
-<details>
-
-<summary>Task Type</summary>
-
-- __`TODO: Task Type 1`__
-  <details>
-
-  <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
-
-    Just like [this task](TODO: link)
-
-    TODO: optional: details
-
-  </details>
-
-</details>
--->
-
----
-
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/template/task-type-2-approach.md b/task-archieve/template/task-type-2-approach.md
new file mode 100644
index 0000000..8680e68
--- /dev/null
+++ b/task-archieve/template/task-type-2-approach.md
@@ -0,0 +1,56 @@
+# TODO
+
+TODO: description
+
+<details>
+
+<summary>Hint</summary>
+
+TODO: optional: hint description
+
+</details>
+
+<details>
+
+<summary>Task Type</summary>
+
+- __`TODO: Task Type 1`__
+  <details>
+
+  <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
+
+    TODO: explanation of Approach
+
+    TODO: optional: example of Approach
+
+    TODO: optional: how to apply the Approach to the Task
+
+  </details>
+
+---
+
+- __`TODO: Task Type 2`__ + __`TODO: Task Type 3`__
+  <details>
+
+  <summary><i><b><code>TODO: Approach 2</code></b></i> + <i><b><code>TODO: Approach 3</code></b></i></summary>
+
+    TODO: explanation of Approaches
+
+    TODO: optional: example of Approaches
+
+    TODO: optional: how to apply the Approaches to the Task
+
+  </details>
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
+
+<!--
+TODO: or:
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
+-->
diff --git a/task-archieve/template/task.md b/task-archieve/template/task-type-approach-2.md
similarity index 51%
rename from task-archieve/template/task.md
rename to task-archieve/template/task-type-approach-2.md
index f558230..98d287f 100644
--- a/task-archieve/template/task.md
+++ b/task-archieve/template/task-type-approach-2.md
@@ -14,7 +14,7 @@ TODO: optional: hint description
 
 <summary>Task Type</summary>
 
-- __`TODO: Task Type 1`__
+- __`TODO: Task Type`__
   <details>
 
   <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
@@ -41,45 +41,15 @@ TODO: optional: hint description
 
   </details>
 
----
-
-- __`TODO: Task Type 1`__ + __`TODO: Task Type 2`__
-  <details>
-
-  <summary><i><b><code>TODO: Approach 1</code></b></i> + <i><b><code>TODO: Approach 2</code></b></i></summary>
-
-    TODO: explanation of Approaches
-
-    TODO: optional: example of Approaches
-
-    TODO: optional: how to apply the Approaches to the Task
-
-  </details>
-
 </details>
 
-<!-- MOST COMMON TEMPLATE:
-<details>
-
-<summary>Task Type</summary>
-
-- __`TODO: Task Type 1`__
-  <details>
-
-  <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
-
-    TODO: explanation of Approach
-
-    TODO: optional: example of Approach
-
-    TODO: optional: how to apply the Approach to the Task
-
-  </details>
-
-</details>
--->
-
 ---
 
 | [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
+
+<!--
+TODO: or:
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
+-->
diff --git a/task-archieve/template/task-type-approach.md b/task-archieve/template/task-type-approach.md
new file mode 100644
index 0000000..8fa93b7
--- /dev/null
+++ b/task-archieve/template/task-type-approach.md
@@ -0,0 +1,41 @@
+# TODO
+
+TODO: description
+
+<details>
+
+<summary>Hint</summary>
+
+TODO: optional: hint description
+
+</details>
+
+<details>
+
+<summary>Task Type</summary>
+
+- __`TODO: Task Type`__
+  <details>
+
+  <summary><i><b><code>TODO: Approach</code></b></i></summary>
+
+    TODO: explanation of Approach
+
+    TODO: optional: example of Approach
+
+    TODO: optional: how to apply the Approach to the Task
+
+  </details>
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
+
+<!--
+TODO: or:
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
+-->
diff --git a/task-archieve/template/task-type-summary-nested.md b/task-archieve/template/task-type-summary-nested.md
new file mode 100644
index 0000000..423321e
--- /dev/null
+++ b/task-archieve/template/task-type-summary-nested.md
@@ -0,0 +1,40 @@
+1. ...
+    1. __*`TODO: Approach`*__
+        <details>
+
+        <summary>Code</summary>
+
+        TODO: optional: short description
+
+        __*variation:*__
+
+        ```js
+        function approach() {
+            TODO
+        }
+        ```
+
+        __Input:__ TODO
+
+        __Output:__ TODO
+
+        ---
+
+        </details>
+
+<!--
+function approach(array) {
+}
+
+------------
+
+function logic(...args) {
+    console.log(...args);
+}
+
+function condition() {
+    return Math.random() < 0.3;
+}
+
+approach([1, 2, 3, 4, 5, 6, 7], ['a', 'b', 'c']);
+-->
diff --git a/task-archieve/template/task-type-summary.md b/task-archieve/template/task-type-summary.md
index 9f1c01b..07bf7c0 100644
--- a/task-archieve/template/task-type-summary.md
+++ b/task-archieve/template/task-type-summary.md
@@ -1,18 +1,17 @@
-# Task Type Summary Title
+## __`TODO: Task Type`__
 
-## __`Task Type`__
-
-1. __*`Approach`*__
+1. __*`TODO: Approach`*__
     <details>
 
     <summary>Code</summary>
 
-    TODO: optional: Short description
+    TODO: optional: short description
 
     __*variation:*__
 
     ```js
     function approach() {
+        TODO
     }
     ```
 
@@ -26,9 +25,6 @@
 
 ---
 
-| [:arrow_left: back](./README.md) |
-| :---: |
-
 <!--
 function approach(array) {
 }
diff --git a/task-archieve/template/task-type.md b/task-archieve/template/task-type.md
new file mode 100644
index 0000000..4aa77f6
--- /dev/null
+++ b/task-archieve/template/task-type.md
@@ -0,0 +1 @@
+the `TODO` Task Type
\ No newline at end of file

From 73e69b28da077d872e314cb95947626c0fdc1005 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 25 Mar 2024 17:12:13 +0300
Subject: [PATCH 075/110] make task-type-summary-nested better

---
 task-archieve/template/task-type-summary-nested.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/task-archieve/template/task-type-summary-nested.md b/task-archieve/template/task-type-summary-nested.md
index 423321e..b1623d5 100644
--- a/task-archieve/template/task-type-summary-nested.md
+++ b/task-archieve/template/task-type-summary-nested.md
@@ -1,4 +1,3 @@
-1. ...
     1. __*`TODO: Approach`*__
         <details>
 

From 6f882075821946d623ca40449903909c3c44a19a Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 2 Apr 2024 18:24:05 +0300
Subject: [PATCH 076/110] upgrade swap n overwrite a bit

---
 task-archieve/sort-colors/task.md        |  2 +-
 task-archieve/task-type-summary/array.md | 65 ++++++++++++++++++++++++
 2 files changed, 66 insertions(+), 1 deletion(-)

diff --git a/task-archieve/sort-colors/task.md b/task-archieve/sort-colors/task.md
index eb182f3..5609a5e 100644
--- a/task-archieve/sort-colors/task.md
+++ b/task-archieve/sort-colors/task.md
@@ -55,7 +55,7 @@ You can find the overwriting type of solution and the swapping type of solution
 
   <details>
 
-  <summary><i><b><code>Swap elements of one or more arrays</code></b></i></summary>
+  <summary><i><b><code>Swap elements of one or more arrays. Dutch National Flag algorithm</code></b></i></summary>
 
     The solution that entails swapping elements of the array is a famous Dutch National Flag alogrithm. The Dutch National Flag algorithm is a sorting algorithm that partitions an array containing elements of three distinct values (for example, `0`s, `1`s, and `2`s) into three parts, in a single traversal of the array. The algorithm is named after the Dutch national flag, which has three horizontal stripes of red, white, and blue
 
diff --git a/task-archieve/task-type-summary/array.md b/task-archieve/task-type-summary/array.md
index c2d9968..450406e 100644
--- a/task-archieve/task-type-summary/array.md
+++ b/task-archieve/task-type-summary/array.md
@@ -493,6 +493,7 @@
         ---
 
         </details>
+
     2. __*`Swap one part of the array with the other part of the array`*__
         <details>
 
@@ -518,12 +519,56 @@
 
         </details>
 
+    3. __*`Dutch National Flag algorithm`*__
+        <details>
+
+        <summary>Code</summary>
+
+        If smaller then s++ and mid++. If middle then mid++. If larger then e--
+
+        ```js
+        const SMALLER = 0;
+        const MIDDLE = 1;
+        const LARGER = 2;
+
+        function DutchNationalFlagAlgorithm(array) {
+            let s = 0;
+            let e = array.length - 1;
+            let mid = 0;
+
+            while (mid <= e) {
+                if (array[mid] === SMALLER) {
+                    swap(array, mid, s);
+                    s++;
+                    mid++;
+                } else if (array[mid] === MIDDLE) {
+                    mid++;
+                } else { // array[mid] === LARGER
+                    swap(array, mid, e);
+                    e--;
+                }
+            }
+
+            return array;
+        }
+
+        function swap(array, i1, i2) {
+            ([array[i1], array[i2]] = [array[i2], array[i1]]);
+        }
+        ```
+
+        ---
+
+        </details>
+
 2. __*`Overwrite elements of one or more arrays`*__
     1. __*`The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer`*__
         <details>
 
         <summary>Code</summary>
 
+        __*overwrite:*__
+
         ```js
         function approach(array) {
             let i = 0;
@@ -549,6 +594,26 @@
         }
         ```
 
+        __*swap:*__
+
+        ```js
+        function approach(array) {
+            let i = 0;
+            let j = 0;
+
+            for (i = 0; i < array.length; i++) {
+                if (condition()) {
+                    swap(array, i, j);
+                    j++;
+                }
+            }
+        }
+
+        function swap(array, i1, i2) {
+            ([array[i1], array[i2]] = [array[i2], array[i1]]);
+        }
+        ```
+
         ---
 
         </details>

From 6ceaba9fd62856608b505c6dab62a78adbddd4eb Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 2 Apr 2024 18:28:14 +0300
Subject: [PATCH 077/110] little brushing up

---
 task-archieve/task-type-summary/array.md | 14 --------------
 1 file changed, 14 deletions(-)

diff --git a/task-archieve/task-type-summary/array.md b/task-archieve/task-type-summary/array.md
index 450406e..2aa0255 100644
--- a/task-archieve/task-type-summary/array.md
+++ b/task-archieve/task-type-summary/array.md
@@ -548,8 +548,6 @@
                     e--;
                 }
             }
-
-            return array;
         }
 
         function swap(array, i1, i2) {
@@ -580,18 +578,6 @@
                 }
             }
         }
-
-        // or:
-
-        function approach(array) {
-            let i = 0;
-
-            for (const value of array) {
-                if (condition()) {
-                    array[i++] = logic(value);
-                }
-            }
-        }
         ```
 
         __*swap:*__

From c4db174ce9249f5c628cc5903c93d01b22896d03 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 3 Apr 2024 13:41:35 +0300
Subject: [PATCH 078/110] separate into its own approach

---
 task-archieve/move-zeroes/solution-2.js       | 17 ++++++
 task-archieve/move-zeroes/task.md             | 16 +++++-
 .../solution-2.js                             | 18 ++++++
 .../remove-duplicates-sorted-array/task.md    | 16 +++++-
 task-archieve/task-type-summary/array.md      | 57 ++++++++++---------
 5 files changed, 94 insertions(+), 30 deletions(-)
 create mode 100644 task-archieve/move-zeroes/solution-2.js
 create mode 100644 task-archieve/remove-duplicates-sorted-array/solution-2.js

diff --git a/task-archieve/move-zeroes/solution-2.js b/task-archieve/move-zeroes/solution-2.js
new file mode 100644
index 0000000..1ce5973
--- /dev/null
+++ b/task-archieve/move-zeroes/solution-2.js
@@ -0,0 +1,17 @@
+function moveZeroes(nums) {
+    let i = 0;
+    let k = 0;
+
+    while (i < nums.length) {
+        if (nums[i] !== 0) {
+            swap(nums, i, k);
+            k++;
+        }
+
+        i++;
+    }
+}
+
+function swap(array, i1, i2) {
+    ([array[i1], array[i2]] = [array[i2], array[i1]]);
+}
diff --git a/task-archieve/move-zeroes/task.md b/task-archieve/move-zeroes/task.md
index 952c3d6..07d41b8 100644
--- a/task-archieve/move-zeroes/task.md
+++ b/task-archieve/move-zeroes/task.md
@@ -31,9 +31,21 @@ Output: [0]
 
   </details>
 
+  ---
+
+  <details>
+
+  <summary><i><b><code>Swap elements of one or more arrays. The first pointer goes through the array and upon some condition does two things at once: swaps the value at the first pointer with the value at the second pointer and increments the second pointer</code></b></i></summary>
+
+    Just like [this task](../remove-duplicates-sorted-array/task.md)
+
+    Swapping solution is kind of more interesting because it doesn't need to fill array with zeros after the second pointer once the first pointer has finished its pass of the array
+
+  </details>
+
 </details>
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
diff --git a/task-archieve/remove-duplicates-sorted-array/solution-2.js b/task-archieve/remove-duplicates-sorted-array/solution-2.js
new file mode 100644
index 0000000..1563b34
--- /dev/null
+++ b/task-archieve/remove-duplicates-sorted-array/solution-2.js
@@ -0,0 +1,18 @@
+const MAX_UNIQUE = 2;
+
+function removeDuplicates(nums) {
+    let k = 0;
+
+    for (let i = 0; i < nums.length; i++) {
+        if (k < MAX_UNIQUE || nums[i] > nums[k - MAX_UNIQUE]) {
+            swap(nums, i, k);
+            k++;
+        }
+    }
+
+    return k;
+}
+
+function swap(array, i1, i2) {
+    ([array[i1], array[i2]] = [array[i2], array[i1]]);
+}
diff --git a/task-archieve/remove-duplicates-sorted-array/task.md b/task-archieve/remove-duplicates-sorted-array/task.md
index 933a190..02cd732 100644
--- a/task-archieve/remove-duplicates-sorted-array/task.md
+++ b/task-archieve/remove-duplicates-sorted-array/task.md
@@ -49,6 +49,18 @@ It does not matter what you leave beyond the returned k (hence they are undersco
 
   </details>
 
+  ---
+
+  <details>
+
+  <summary><i><b><code>Swap elements of one or more arrays. The first pointer goes through the array and upon some condition does two things at once: swaps the value at the first pointer with the value at the second pointer and increments the second pointer</code></b></i></summary>
+
+    We can also solve the task by following the same logic as the overwriting solution entails except instead of overwriting elements we are going to be swapping elements ([solution 2](./solution-2.js))
+
+    Sometimes the overwriting Approach doesn't fit because by overwriting we create duplicate elements in the array (which may be a problem if we want to iterate the same array again) but with swapping we don't, we merely swap. However the logic of the solution of this task doesn't care if we swap or overwrite so we can use either Approach
+
+  </details>
+
 </details>
 
 <details>
@@ -61,5 +73,5 @@ It does not matter what you leave beyond the returned k (hence they are undersco
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
diff --git a/task-archieve/task-type-summary/array.md b/task-archieve/task-type-summary/array.md
index 2aa0255..b6d865a 100644
--- a/task-archieve/task-type-summary/array.md
+++ b/task-archieve/task-type-summary/array.md
@@ -494,7 +494,34 @@
 
         </details>
 
-    2. __*`Swap one part of the array with the other part of the array`*__
+    2. __*`The first pointer goes through the array and upon some condition does two things at once: swaps the value at the first pointer with the value at the second pointer and increments the second pointer`*__
+        <details>
+
+        <summary>Code</summary>
+
+        ```js
+        function approach(array) {
+            let i = 0; // or 1
+            let j = 0;
+
+            for (i = 0; i < array.length; i++) {
+                if (condition()) {
+                    swap(array, i, j);
+                    j++;
+                }
+            }
+        }
+
+        function swap(array, i1, i2) {
+            ([array[i1], array[i2]] = [array[i2], array[i1]]);
+        }
+        ```
+
+        ---
+
+        </details>
+
+    3. __*`Swap one part of the array with the other part of the array`*__
         <details>
 
         <summary>Code</summary>
@@ -504,7 +531,7 @@
             const partsSeparator = logic(array);
 
             for (let i = 0; i < partsSeparator; i++) {
-                const j = logic(array, i);
+                const j = logic(array, partsSeparator, i);
 
                 swap(array, i, j);
             }
@@ -519,7 +546,7 @@
 
         </details>
 
-    3. __*`Dutch National Flag algorithm`*__
+    4. __*`Dutch National Flag algorithm`*__
         <details>
 
         <summary>Code</summary>
@@ -565,11 +592,9 @@
 
         <summary>Code</summary>
 
-        __*overwrite:*__
-
         ```js
         function approach(array) {
-            let i = 0;
+            let i = 0; // or 1
             let j = 0;
 
             for (i = 0; i < array.length; i++) {
@@ -580,26 +605,6 @@
         }
         ```
 
-        __*swap:*__
-
-        ```js
-        function approach(array) {
-            let i = 0;
-            let j = 0;
-
-            for (i = 0; i < array.length; i++) {
-                if (condition()) {
-                    swap(array, i, j);
-                    j++;
-                }
-            }
-        }
-
-        function swap(array, i1, i2) {
-            ([array[i1], array[i2]] = [array[i2], array[i1]]);
-        }
-        ```
-
         ---
 
         </details>

From c76f5d3c31c23ef65e1a31f4a200586ffbff7858 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 4 Apr 2024 18:55:49 +0300
Subject: [PATCH 079/110] basketball games

---
 task-archieve/README.md                    |  1 +
 task-archieve/basketball-games/solution.js | 25 ++++++++
 task-archieve/basketball-games/task.md     | 73 ++++++++++++++++++++++
 task-archieve/task-type-summary/README.md  |  2 +
 task-archieve/task-type-summary/array.md   | 17 +++++
 task-archieve/task-type.md                 |  1 +
 6 files changed, 119 insertions(+)
 create mode 100644 task-archieve/basketball-games/solution.js
 create mode 100644 task-archieve/basketball-games/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 34356da..563ae75 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -40,4 +40,5 @@ _List of tasks_
 - [Top K Frequent Elements](./top-k-frequent-elements/task.md)
 - [Move Zeroes](./move-zeroes/task.md)
 - [Unpack IP](./unpack-ip/task.md)
+- [Basketball Games](./basketball-games/task.md)
 - [Word Break](./word-break/task.md)
diff --git a/task-archieve/basketball-games/solution.js b/task-archieve/basketball-games/solution.js
new file mode 100644
index 0000000..839e411
--- /dev/null
+++ b/task-archieve/basketball-games/solution.js
@@ -0,0 +1,25 @@
+function countJudges(games) {
+    games = games.reduce((acc, [start, end]) => {
+        acc.push({ isStart: true, time: start });
+        acc.push({ isStart: false, time: end });
+
+        return acc;
+    }, []);
+
+    games = games.sort((a, b) => a.time - b.time);
+
+    let max = 0;
+    let judges = 0;
+
+    games.forEach(({ isStart }) => {
+        if (isStart) {
+            judges++;
+        } else {
+            judges--;
+        }
+
+        max = Math.max(judges, max);
+    });
+
+    return max;
+}
diff --git a/task-archieve/basketball-games/task.md b/task-archieve/basketball-games/task.md
new file mode 100644
index 0000000..9d1ed30
--- /dev/null
+++ b/task-archieve/basketball-games/task.md
@@ -0,0 +1,73 @@
+# Basketball Games
+
+We have basketball games. We know the start and the end of each game (in our universe day is not limited to 24 hours so it is OK if the entire duration of all games exceeds this limit). Every such game is to be attended by a judge and one judge can't attend two or more games at the same time (if the two or more games are happening at the same time). Once a game is over its judge becomes free and can attend another game. We need to count how many judges it takes to attend all games
+
+__Example 1:__
+
+```
+Input: [[1, 5], [5, 8]]
+Output: 1
+Explanation: only one judge is required because once the first game [1, 5] is over the judge can go on and attend the next game [5, 8]
+```
+
+__Example 2:__
+
+```
+Input: [[1, 5], [2, 8]]
+Output: 2
+Explanation: takes two judges because the first judge is going to be busy attending the first game [1, 5] and won't be able to attend the second game [2, 8] which is happening in parallel with the first game for a while so we need a second judge to attend the second game
+```
+
+<details>
+
+<summary>Hint</summary>
+
+In order to find the number of judges required we merely need to find the max number of games happening simultaneously at any given point in time
+
+The lines below represent games duration. The game starts and ends where the line starts and ends. Y axis represents the number of games while X axis represents the timeline. As you can see some games overlap (meaning they are happening all at the same time):
+
+```
+           █████           ███████████████████████████   ███████████   ████
+   ████████████████
+██████████████████████████████    ██████████████████████████████████████ ███████████████████
+```
+
+Thus we can see the max number of overlapping games here:
+
+```
+           ██░██           ███████████████████████████   ███████████   ████
+   ██████████░█████
+█████████████░████████████████    ██████████████████████████████████████ ███████████████████
+```
+
+As you can see we have 3 overlapping games and thus need at least 3 judges so that every game is attended by a judge:
+
+```
+           ██1██           ███████████████████████████   ███████████   ████
+   ██████████2█████
+█████████████3████████████████    ██████████████████████████████████████ ███████████████████
+```
+
+</details>
+
+<details>
+
+<summary>Task Type</summary>
+
+- __`One Pointer One Array`__ + __`Array and Counter`__
+  <details>
+
+  <summary><i><b><code>Sort the array and do something with it</code></b></i> + <i><b><code>Iterate an array keeping one or more counters</code></b></i></summary>
+
+    As was stated in the Hint above we merely need to find the max number of games happening at the same time. In order to do that we can change the array to be composed of elements where each element represents either start or end of any game. Then the business logic of applying the necessary Approaches becomes evident
+
+    First we need to sort the points in time (when games start and end) thus attained. Then we need to loop through the array keeping track of the counter (the number of judges): if we encounter the start of a game then we increment the counter, if we encounter the end of a game then we decrement the counter. This will allow us to count the max number of games that have ever overlapped during the entire time period, which, as we have discussed, _is_ in fact equal to the number of judges we are going to need (for the number of judges required grows as the number of parallel games grows because a judge has only one limitation of not being able to attend two games simultaneously)
+
+  </details>
+
+</details>
+
+---
+
+| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/task-type-summary/README.md b/task-archieve/task-type-summary/README.md
index 6f34903..91a55e0 100644
--- a/task-archieve/task-type-summary/README.md
+++ b/task-archieve/task-type-summary/README.md
@@ -2,6 +2,8 @@
 
 > :bulb: Feel free to revise all the algorithm examples under the spoiler "Code". There are mysterious functions called `logic()` and `condition()`. These functions are where the business logic of a particular Task lives. Also note that not every Approach can be given a "Code" section spoiler (it is very rare but it happens), for such Approaches solve the corresponding Tasks
 
+> :bulb: `approach2(...)` means that the posssibilities of further actions are so vast that it is surely going to be some other Approach used in that place thereby making the solution a combination of two Approaches instead of just one (and the immediate business logic of the Task of course). The same is if you encounter `approach3(...)` then it is going to be a combination of 3 Approaches and so forth
+
 ## Contents
 
 - [Array](./array.md)
diff --git a/task-archieve/task-type-summary/array.md b/task-archieve/task-type-summary/array.md
index b6d865a..eed2110 100644
--- a/task-archieve/task-type-summary/array.md
+++ b/task-archieve/task-type-summary/array.md
@@ -65,6 +65,23 @@
 
     </details>
 
+4. __*`Sort the array and do something with it`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        const sorted = array.sort(logic);
+
+        approach2(sorted);
+    }
+    ```
+
+    ---
+
+    </details>
+
 ---
 
 ## __`Two Pointers Two Arrays`__
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 94be846..5338dc7 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -10,6 +10,7 @@ _Tasks grouped by_ `Task Type`
   - [Find Peak Element](./find-peak-element/task.md)
   - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
   - [Reverse an Array](./reverse-array/task.md)
+  - [Basketball Games](./basketball-games/task.md)
 
 ### Two Pointers Two Arrays
   - [Intersection of intervals](./intersection-intervals/task.md)

From efce63884d2254c80dc5fec85179fc07143b0609 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 5 Apr 2024 19:15:40 +0300
Subject: [PATCH 080/110] Another Day in Paradise

---
 task-archieve/basketball-games/task.md        |  4 +-
 .../best-time-to-buy-and-sell-stock/task.md   |  2 +-
 task-archieve/climb-stairs/task.md            |  2 +-
 task-archieve/combinations/task.md            |  2 +-
 task-archieve/contiguous-array/task.md        |  2 +-
 .../distance-between-bus-stops/task.md        |  2 +-
 task-archieve/extra-documentation.md          |  2 +
 task-archieve/find-peak-element/task.md       |  2 +-
 task-archieve/flatten-nonrecursive/task.md    |  2 +-
 task-archieve/fruit-into-baskets/task.md      |  2 +-
 task-archieve/intersection-intervals/task.md  |  2 +-
 task-archieve/keygen/task.md                  |  2 +-
 .../longest-letter-subsequence/task.md        |  2 +-
 .../longest-sequence-of-ones/task.md          | 10 ++-
 .../task.md                                   |  2 +-
 task-archieve/matrix-diagonal-sort/task.md    |  2 +-
 .../maximum-product-subarray/task.md          |  2 +-
 .../missing-number-sorted-array/task.md       |  2 +-
 task-archieve/missing-number/task.md          |  2 +-
 task-archieve/most-water/task.md              |  2 +-
 task-archieve/move-zeroes/task.md             |  2 +-
 task-archieve/partition-labels/task.md        |  2 +-
 .../remove-duplicates-sorted-array/task.md    |  2 +-
 task-archieve/reverse-array/task.md           |  2 +-
 task-archieve/single-number/task.md           |  2 +-
 task-archieve/sort-colors/task.md             |  2 +-
 task-archieve/sort-letters-two-arrays/task.md |  2 +-
 task-archieve/summary-ranges/task.md          |  2 +-
 task-archieve/task-type-summary/array.md      | 77 ++++++++++++++++++-
 .../template/task-type-2-approach.md          |  4 +-
 .../template/task-type-approach-2.md          |  4 +-
 task-archieve/template/task-type-approach.md  |  4 +-
 task-archieve/top-k-frequent-elements/task.md |  2 +-
 task-archieve/unpack-ip/task.md               |  2 +-
 task-archieve/valid-parentheses/task.md       |  2 +-
 task-archieve/word-break/task.md              |  2 +-
 task-archieve/word-search/task.md             |  2 +-
 task-archieve/zigzag-conversion/task.md       |  2 +-
 38 files changed, 124 insertions(+), 43 deletions(-)

diff --git a/task-archieve/basketball-games/task.md b/task-archieve/basketball-games/task.md
index 9d1ed30..3ec80e1 100644
--- a/task-archieve/basketball-games/task.md
+++ b/task-archieve/basketball-games/task.md
@@ -57,7 +57,7 @@ As you can see we have 3 overlapping games and thus need at least 3 judges so th
 - __`One Pointer One Array`__ + __`Array and Counter`__
   <details>
 
-  <summary><i><b><code>Sort the array and do something with it</code></b></i> + <i><b><code>Iterate an array keeping one or more counters</code></b></i></summary>
+  <summary><i><b><code>Sort the array and do something with it</code></b></i> + <i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array keeping one or more max or min counters</code></b></i></summary>
 
     As was stated in the Hint above we merely need to find the max number of games happening at the same time. In order to do that we can change the array to be composed of elements where each element represents either start or end of any game. Then the business logic of applying the necessary Approaches becomes evident
 
@@ -69,5 +69,5 @@ As you can see we have 3 overlapping games and thus need at least 3 judges so th
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index 96973a8..fed1cce 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -50,5 +50,5 @@ Explanation: In this case, no transactions are done and the max profit = 0
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/climb-stairs/task.md b/task-archieve/climb-stairs/task.md
index 2eb40cb..1afeccf 100644
--- a/task-archieve/climb-stairs/task.md
+++ b/task-archieve/climb-stairs/task.md
@@ -52,5 +52,5 @@ You can store a Fibonacci Sequence in an array and you get `O(n)` memory complex
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) | [:white_check_mark: solution 3](./solution-3.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) | [:white_check_mark: solution 3](./solution-3.js) |
 | :---: | :---: | :---: | :---: |
diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
index 30d9035..e1a379b 100644
--- a/task-archieve/combinations/task.md
+++ b/task-archieve/combinations/task.md
@@ -86,5 +86,5 @@ Explanation: There is 1 choose 1 = 1 total combination
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index 6227652..0080bdc 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -57,5 +57,5 @@ The key point to solving this task is to realize that we don't have to always ar
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/distance-between-bus-stops/task.md b/task-archieve/distance-between-bus-stops/task.md
index c809e19..7b7dea0 100644
--- a/task-archieve/distance-between-bus-stops/task.md
+++ b/task-archieve/distance-between-bus-stops/task.md
@@ -64,5 +64,5 @@ Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
index c60dfc5..5b278ba 100644
--- a/task-archieve/extra-documentation.md
+++ b/task-archieve/extra-documentation.md
@@ -85,6 +85,8 @@ Thus you can use Debugger in order to understand the algorithm of any code you w
 
 Once you understand the algorithm of the solution of a specific Task you may note that any solution you find here is tied to one of the many Approaches you can find in this here project. Like we said earlier Approach is merely a more general algorithm that can be applied to come up with similar algorithms for solution of many tasks. Having understood the algorithm of a specific solution you will realize how you are instantly enabled to understand the Approach used in general. This way you will be enabled to use the Approach learnt as a building block in your future complex algorithms for the solutions of many Tasks! And all because you were enabled to understand the algorithm in the first place by using Debugger to learn. This technique of using Debugger to understand the algorithm of how any code works we call here _Debugger calm_ because it is a calm and fulfilling way to go about it
 
+Also when trying to see how the algorithm works or come up with a solution try to visualize the algorithm in action: now arrays become as connected squares and pointers as arrows to the squares, somewhere on the background counters increment and decrement and so on. Whatever your imagination is capable of
+
 ### When you can't solve something
 
 One should never worry regarding the matter or suffer any other kindred blunders so characteristic of a studious mind
diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
index 420492a..cfb2111 100644
--- a/task-archieve/find-peak-element/task.md
+++ b/task-archieve/find-peak-element/task.md
@@ -57,5 +57,5 @@ Explanation: Your function can return either index number 1 where the peak eleme
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/flatten-nonrecursive/task.md b/task-archieve/flatten-nonrecursive/task.md
index e82a93d..8492039 100644
--- a/task-archieve/flatten-nonrecursive/task.md
+++ b/task-archieve/flatten-nonrecursive/task.md
@@ -31,5 +31,5 @@ Also you cannot use recursion because an array can be very big and nested very d
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/fruit-into-baskets/task.md b/task-archieve/fruit-into-baskets/task.md
index 3c594de..af74899 100644
--- a/task-archieve/fruit-into-baskets/task.md
+++ b/task-archieve/fruit-into-baskets/task.md
@@ -59,5 +59,5 @@ If we had started at the first tree, we would only pick from trees [1,2]
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/intersection-intervals/task.md b/task-archieve/intersection-intervals/task.md
index 1076314..1361b0d 100644
--- a/task-archieve/intersection-intervals/task.md
+++ b/task-archieve/intersection-intervals/task.md
@@ -37,5 +37,5 @@ user2 [(10, 14), (21, 22)]
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/keygen/task.md b/task-archieve/keygen/task.md
index cca26eb..28421e9 100644
--- a/task-archieve/keygen/task.md
+++ b/task-archieve/keygen/task.md
@@ -38,5 +38,5 @@ We have already encountered number task types:
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 5edb654..5278562 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -48,5 +48,5 @@ longestStr('ababababccddddddd', 3); // L=17 N=4 K=3 result: 10
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/longest-sequence-of-ones/task.md b/task-archieve/longest-sequence-of-ones/task.md
index d1da97e..37d4484 100644
--- a/task-archieve/longest-sequence-of-ones/task.md
+++ b/task-archieve/longest-sequence-of-ones/task.md
@@ -16,7 +16,7 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 - __`Array and Counter`__
   <details>
 
-  <summary><i><b><code>Iterate an array keeping one or more counters</code></b></i></summary>
+  <summary><i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array keeping one or more max or min counters</code></b></i> + <i><b><code>Iterate an array keeping one or more previous counters</code></b></i></summary>
 
     It is one of those tasks where you use one pointer to iterate the array as well as one or more counters that we may or may not reset sometimes
 
@@ -24,7 +24,11 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
     __Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration (and if we say "reset the counter" it means assign to the counter the value that it had before we started iterating the array)
 
-    __Note:__ we have already seen a somewhat simpler task where we used counters to solve it. The task is called ["3 Greatest Integers in an Array"](../../2\)%20Task%20Challanges.md#30-3-greatest-integers-in-an-array)
+    __Note:__ when we say "keep a counter" while iterating an array it means you iterate an array and on some or all iterations you update or reset the counter. Sometimes you merely increment or decrement the counter and sometimes (if the logic of the task is complex) you may assign some cleverly calculated value to it per iteration (the current value of the counter itself may be used to calculate its new value of course)
+
+    __Note:__ did you notice how we need to combine no less than 3 Approaches of the `Array and Counter` Task Type in order to get the solution?
+
+    __Note:__ we have already seen a somewhat simpler task where we used counters to solve it. The task is called ["3 Greatest Integers in an Array"](../../2\)%20Task%20Challanges.md#30-3-greatest-integers-in-an-array) (this Task uses the _`Iterate an array keeping one or more previous counters`_ Approach)
 
   </details>
 
@@ -32,5 +36,5 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/longest-substring-without-repeating-characters/task.md b/task-archieve/longest-substring-without-repeating-characters/task.md
index 5a6a8b9..0892027 100644
--- a/task-archieve/longest-substring-without-repeating-characters/task.md
+++ b/task-archieve/longest-substring-without-repeating-characters/task.md
@@ -44,5 +44,5 @@ Notice that the answer must be a substring, "pwke" is a subsequence and not a su
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/matrix-diagonal-sort/task.md b/task-archieve/matrix-diagonal-sort/task.md
index 077a55e..7d5bdbe 100644
--- a/task-archieve/matrix-diagonal-sort/task.md
+++ b/task-archieve/matrix-diagonal-sort/task.md
@@ -50,5 +50,5 @@ Here is an example:
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/maximum-product-subarray/task.md b/task-archieve/maximum-product-subarray/task.md
index f309ccc..653554d 100644
--- a/task-archieve/maximum-product-subarray/task.md
+++ b/task-archieve/maximum-product-subarray/task.md
@@ -38,5 +38,5 @@ This is why we need to look for the biggest product first going left to right an
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/missing-number-sorted-array/task.md b/task-archieve/missing-number-sorted-array/task.md
index cf8c158..157ab7a 100644
--- a/task-archieve/missing-number-sorted-array/task.md
+++ b/task-archieve/missing-number-sorted-array/task.md
@@ -45,5 +45,5 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/missing-number/task.md b/task-archieve/missing-number/task.md
index 3854f8d..da28882 100644
--- a/task-archieve/missing-number/task.md
+++ b/task-archieve/missing-number/task.md
@@ -66,5 +66,5 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/most-water/task.md b/task-archieve/most-water/task.md
index 3734853..8e29a3b 100644
--- a/task-archieve/most-water/task.md
+++ b/task-archieve/most-water/task.md
@@ -72,5 +72,5 @@ Start with the maximum width container and go to a shorter width container if th
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/move-zeroes/task.md b/task-archieve/move-zeroes/task.md
index 07d41b8..11699e6 100644
--- a/task-archieve/move-zeroes/task.md
+++ b/task-archieve/move-zeroes/task.md
@@ -47,5 +47,5 @@ Output: [0]
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/partition-labels/task.md b/task-archieve/partition-labels/task.md
index b5d8c89..4468341 100644
--- a/task-archieve/partition-labels/task.md
+++ b/task-archieve/partition-labels/task.md
@@ -93,5 +93,5 @@ Then follow one of the two Approaches of the `Array and HashMap` Task Type in th
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/remove-duplicates-sorted-array/task.md b/task-archieve/remove-duplicates-sorted-array/task.md
index 02cd732..9a28805 100644
--- a/task-archieve/remove-duplicates-sorted-array/task.md
+++ b/task-archieve/remove-duplicates-sorted-array/task.md
@@ -73,5 +73,5 @@ It does not matter what you leave beyond the returned k (hence they are undersco
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/reverse-array/task.md b/task-archieve/reverse-array/task.md
index 56cd2ca..ec85ac6 100644
--- a/task-archieve/reverse-array/task.md
+++ b/task-archieve/reverse-array/task.md
@@ -44,5 +44,5 @@ Output: ['c','b','a']
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
index 242ed6b..a6b6e49 100644
--- a/task-archieve/single-number/task.md
+++ b/task-archieve/single-number/task.md
@@ -47,5 +47,5 @@ You must implement a solution with a linear runtime complexity and use only cons
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/sort-colors/task.md b/task-archieve/sort-colors/task.md
index 5609a5e..f887bac 100644
--- a/task-archieve/sort-colors/task.md
+++ b/task-archieve/sort-colors/task.md
@@ -84,5 +84,5 @@ You can find the overwriting type of solution and the swapping type of solution
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
index 2c12e5f..5007c12 100644
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ b/task-archieve/sort-letters-two-arrays/task.md
@@ -82,5 +82,5 @@ To solve this task you need to simply _sort_ the elements of the 2nd array (the
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/summary-ranges/task.md b/task-archieve/summary-ranges/task.md
index f45e64f..98c6e6f 100644
--- a/task-archieve/summary-ranges/task.md
+++ b/task-archieve/summary-ranges/task.md
@@ -51,5 +51,5 @@ Explanation: The ranges are:
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/task-type-summary/array.md b/task-archieve/task-type-summary/array.md
index eed2110..375e42a 100644
--- a/task-archieve/task-type-summary/array.md
+++ b/task-archieve/task-type-summary/array.md
@@ -266,7 +266,82 @@
         let counter;
 
         for (let i = 0; i < array.length; i++) {
-            logic(array[i], counter);
+            logic(array, i, counter);
+        }
+    }
+    ```
+
+    ---
+
+    </details>
+
+2. __*`Iterate an array incrementing and decrementing one or more counters`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        let counter = 0;
+
+        for (let i = 0; i < array.length; i++) {
+            if (condition()) {
+              counter++;
+            }
+
+            if (condition()) {
+              counter--;
+            }
+        }
+    }
+    ```
+
+    ---
+
+    </details>
+
+3. __*`Iterate an array keeping one or more max or min counters`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        let counter;
+        let max = -Infinity;
+        let min = Infinity;
+
+        for (let i = 0; i < array.length; i++) {
+            const newMax = logic(array, i, counter);
+            const newMin = logic(array, i, counter);
+
+            max = Math.max(newMax, max);
+            min = Math.min(newMin, min);
+        }
+    }
+    ```
+
+    ---
+
+    </details>
+
+4. __*`Iterate an array keeping one or more previous counters`*__
+    <details>
+
+    <summary>Code</summary>
+
+    ```js
+    function approach(array) {
+        let prev;
+        let counter;
+
+        for (let i = 0; i < array.length; i++) {
+            logic(array, i, counter);
+
+            if (condition()) {
+              prev = counter;
+              counter = logic();
+            }
         }
     }
     ```
diff --git a/task-archieve/template/task-type-2-approach.md b/task-archieve/template/task-type-2-approach.md
index 8680e68..f489e5c 100644
--- a/task-archieve/template/task-type-2-approach.md
+++ b/task-archieve/template/task-type-2-approach.md
@@ -46,11 +46,11 @@ TODO: optional: hint description
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
 
 <!--
 TODO: or:
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
 -->
diff --git a/task-archieve/template/task-type-approach-2.md b/task-archieve/template/task-type-approach-2.md
index 98d287f..17d7884 100644
--- a/task-archieve/template/task-type-approach-2.md
+++ b/task-archieve/template/task-type-approach-2.md
@@ -45,11 +45,11 @@ TODO: optional: hint description
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
 
 <!--
 TODO: or:
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
 -->
diff --git a/task-archieve/template/task-type-approach.md b/task-archieve/template/task-type-approach.md
index 8fa93b7..2bc62bd 100644
--- a/task-archieve/template/task-type-approach.md
+++ b/task-archieve/template/task-type-approach.md
@@ -31,11 +31,11 @@ TODO: optional: hint description
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
 
 <!--
 TODO: or:
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
 -->
diff --git a/task-archieve/top-k-frequent-elements/task.md b/task-archieve/top-k-frequent-elements/task.md
index 613d27c..bab64f4 100644
--- a/task-archieve/top-k-frequent-elements/task.md
+++ b/task-archieve/top-k-frequent-elements/task.md
@@ -35,5 +35,5 @@ Output: [1]
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/unpack-ip/task.md b/task-archieve/unpack-ip/task.md
index 251043e..821afe5 100644
--- a/task-archieve/unpack-ip/task.md
+++ b/task-archieve/unpack-ip/task.md
@@ -55,5 +55,5 @@ Output: ['1.2.3.1', '1.2.3.2', '1.2.3.3', '1.2.3.7']
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/valid-parentheses/task.md b/task-archieve/valid-parentheses/task.md
index fc9ceaf..0f6815a 100644
--- a/task-archieve/valid-parentheses/task.md
+++ b/task-archieve/valid-parentheses/task.md
@@ -49,5 +49,5 @@ Output: false
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/word-break/task.md b/task-archieve/word-break/task.md
index 2c9b2b1..2125f38 100644
--- a/task-archieve/word-break/task.md
+++ b/task-archieve/word-break/task.md
@@ -36,5 +36,5 @@ Output: false
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |
diff --git a/task-archieve/word-search/task.md b/task-archieve/word-search/task.md
index db08044..c73f5b5 100644
--- a/task-archieve/word-search/task.md
+++ b/task-archieve/word-search/task.md
@@ -50,5 +50,5 @@ Output: false
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
 | :---: | :---: | :---: |
diff --git a/task-archieve/zigzag-conversion/task.md b/task-archieve/zigzag-conversion/task.md
index b8aee4e..bf0b8c7 100644
--- a/task-archieve/zigzag-conversion/task.md
+++ b/task-archieve/zigzag-conversion/task.md
@@ -94,5 +94,5 @@ __Output:__ `"A"`
 
 ---
 
-| [:arrow_left: back](../task-type.md) | [:white_check_mark: solution](./solution.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
 | :---: | :---: |

From 81339946649e968d66def01efffe8281a281c505 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 5 Apr 2024 19:43:08 +0300
Subject: [PATCH 081/110] fix navigation

---
 task-archieve/letter-combinations-of-a-phone-number/task.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/letter-combinations-of-a-phone-number/task.md b/task-archieve/letter-combinations-of-a-phone-number/task.md
index 69e253d..73ae84b 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number/task.md
@@ -71,5 +71,5 @@ Output:
 
 ---
 
-| [:arrow_left: back](../../task-type.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) | [:white_check_mark: solution 3](./solution-3.js) |
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) | [:white_check_mark: solution 3](./solution-3.js) |
 | :---: | :---: | :---: | :---: |

From c3ababbeef1d076664e299104f182bfd8b60bb80 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 17 Apr 2024 22:19:51 +0300
Subject: [PATCH 082/110] start task-archieve refactoring

---
 task-archieve/README.md                       |   6 +-
 task-archieve/basketball-games/task.md        |   2 +
 .../best-time-to-buy-and-sell-stock/task.md   |   5 +-
 task-archieve/combinations/task.md            |   3 +
 task-archieve/contiguous-array/task.md        |   8 ++
 .../distance-between-bus-stops/task.md        |   2 +
 task-archieve/find-peak-element/task.md       |  16 +--
 task-archieve/flatten-nonrecursive/task.md    |   5 +-
 .../interleaving-string/interleave.jpg        | Bin 0 -> 30824 bytes
 .../interleaving-string/solution-2.js         |  27 +++++
 task-archieve/interleaving-string/solution.js |  97 ++++++++++++++++++
 task-archieve/interleaving-string/task.md     |  59 +++++++++++
 task-archieve/intersection-intervals/task.md  |  12 ++-
 .../task.md                                   |   7 +-
 .../longest-letter-subsequence/task.md        |   8 +-
 .../longest-sequence-of-ones/task.md          |  10 +-
 .../missing-number-sorted-array/task.md       |   2 +-
 task-archieve/missing-number/task.md          |   4 +
 task-archieve/most-water/task.md              |   4 +-
 task-archieve/partition-labels/task.md        |   7 ++
 .../remove-duplicates-sorted-array/task.md    |   6 ++
 task-archieve/reverse-array/task.md           |   6 +-
 task-archieve/single-number/task.md           |   4 +
 task-archieve/sort-colors/task.md             |   7 +-
 task-archieve/sort-letters-two-arrays/task.md |   2 -
 task-archieve/task-type-summary/README.md     |   2 +
 task-archieve/task-type-summary/algorithms.md |   2 +
 task-archieve/task-type.md                    |   5 +-
 .../template/task-type-2-approach.md          |  12 +--
 .../template/task-type-approach-2.md          |  12 +--
 task-archieve/template/task-type-approach.md  |   6 +-
 task-archieve/top-k-frequent-elements/task.md |   2 +
 task-archieve/unpack-ip/task.md               |   1 +
 task-archieve/valid-parentheses/task.md       |   1 +
 task-archieve/word-break/solution-2.js        |  22 ++++
 task-archieve/word-break/solution.js          |  21 ++++
 task-archieve/word-break/task.md              |  18 ++++
 37 files changed, 355 insertions(+), 58 deletions(-)
 create mode 100644 task-archieve/interleaving-string/interleave.jpg
 create mode 100644 task-archieve/interleaving-string/solution-2.js
 create mode 100644 task-archieve/interleaving-string/solution.js
 create mode 100644 task-archieve/interleaving-string/task.md
 create mode 100644 task-archieve/word-break/solution-2.js

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 563ae75..d0c3654 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -10,7 +10,10 @@ _List of tasks_
 
 - [Find Peak Element](./find-peak-element/task.md)
 - [Reverse an Array](./reverse-array/task.md)
+- [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
+<!-- TODO: Use values as indexes (Love Triangles) -->
 - [Container With Most Water](./most-water/task.md)
+- [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
 - [Zigzag Conversion](./zigzag-conversion/task.md)
 - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 - [Longest sequence of ones](./longest-sequence-of-ones/task.md)
@@ -34,11 +37,10 @@ _List of tasks_
 - [Summary Ranges](./summary-ranges/task.md)
 - [Sort Colors](./sort-colors/task.md)
 - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)
-- [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
 - [Missing Number](./missing-number/task.md)
-- [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
 - [Top K Frequent Elements](./top-k-frequent-elements/task.md)
 - [Move Zeroes](./move-zeroes/task.md)
 - [Unpack IP](./unpack-ip/task.md)
 - [Basketball Games](./basketball-games/task.md)
 - [Word Break](./word-break/task.md)
+- [Interleaving String](./interleaving-string/task.md)
diff --git a/task-archieve/basketball-games/task.md b/task-archieve/basketball-games/task.md
index 3ec80e1..81a0f21 100644
--- a/task-archieve/basketball-games/task.md
+++ b/task-archieve/basketball-games/task.md
@@ -59,6 +59,8 @@ As you can see we have 3 overlapping games and thus need at least 3 judges so th
 
   <summary><i><b><code>Sort the array and do something with it</code></b></i> + <i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array keeping one or more max or min counters</code></b></i></summary>
 
+    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
+
     As was stated in the Hint above we merely need to find the max number of games happening at the same time. In order to do that we can change the array to be composed of elements where each element represents either start or end of any game. Then the business logic of applying the necessary Approaches becomes evident
 
     First we need to sort the points in time (when games start and end) thus attained. Then we need to loop through the array keeping track of the counter (the number of judges): if we encounter the start of a game then we increment the counter, if we encounter the end of a game then we decrement the counter. This will allow us to count the max number of games that have ever overlapped during the entire time period, which, as we have discussed, _is_ in fact equal to the number of judges we are going to need (for the number of judges required grows as the number of parallel games grows because a judge has only one limitation of not being able to attend two games simultaneously)
diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index fed1cce..5786ee8 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -32,6 +32,9 @@ Explanation: In this case, no transactions are done and the max profit = 0
 
   <summary><i><b><code>Sliding Window. Dynamic size</code></b></i></summary>
 
+    <!-- TODO: Easy Task for Sliding Window fixed size -->
+    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
+
     This is a task for two pointers. Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have the left pointer behind the right pointer and per iteration we either increment the left pointer or the right pointer or per iteration we increment both the left and the right pointers is called "_Sliding Window_"
 
     In order to learn the basics of the "_Sliding Window_" technique read [this article](../literature/sliding-window.md). We are going to build all further explanation on top of the knowledge from the article
@@ -42,7 +45,7 @@ Explanation: In this case, no transactions are done and the max profit = 0
 
     Thus using the _`Sliding Window. Dynamic size`_ Approach you don't have to always increment the left pointer by one or the right pointer by one: the pointers can be set to any index they want so long as the left is behind the right. Indeed the left pointer may even go to the same position as the right pointer while the right pointer increments by one to be ahead of the left pointer. As you can see this Sliding Window we have been talking about may shrink and expand at will
 
-    __Note:__ [this task](../longest-letter-subsequence/task.md) likewise uses the same Sliding Window Approach _`Sliding Window. Dynamic size`_ but combines it with one of the HashMap Approaches
+    <!-- TODO: expnanation of the logic of the solution -->
 
   </details>
 
diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
index e1a379b..4b6f4a6 100644
--- a/task-archieve/combinations/task.md
+++ b/task-archieve/combinations/task.md
@@ -30,6 +30,9 @@ Explanation: There is 1 choose 1 = 1 total combination
 
   <summary><i><b><code>Get all unique combinations of values of an array in any order</code></b></i></summary>
 
+    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
+    <!-- TODO: perhaps port the permutations of the string task to task-archieve -->
+
     This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__ (read on to know what this means). What we need to do here is get all unique combinations of values of an array in any order
 
     Note that unlike the ["Permutations of a String" task](../../2\)%20Task%20Challanges.md#28-permutations-of-a-string), in this task we are supposed to return the output in __any order__, also we want _combinations_ of values of an array and not _permutations_ like in the "Permutations of a String" task (so basically we are going to combine values of an array instead of re-arranging them the difference being that `[1,2]` and `[2,1]` are different permutations but these are the same combination of the elements). So for this task the order of the combinations doesn't matter. When the order of the combinations doesn't matter you should apply a backtracking algorithm that is actually different from the one we saw before in the "Permutations of a String" task in order not to come up with duplicates (i.e., `[1,2]` and `[2,1]`)
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index 0080bdc..bb63187 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -27,12 +27,18 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
   <summary><i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
+    <!-- TODO: move abstract explanation of the Approach to an Easy Task -->
+
+    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
+
     The solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the `Array and HashMap` Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial)
 
     __Note:__ you can read more about using HashMap to solve tasks in [this article](../literature/hash-map.md) as this and many other tasks require this knowledge
 
     You should read Hint for the logic of applying the Approach _`Create and use one or more HashMaps as you iterate an array`_ to solve this particular task
 
+    <!-- TODO: links to Easy Tasks -->
+
     __Note:__ we have likewise seen lots of other HashMap tasks before:
     - [First Non Repeating Char in a String](../../1\)%20Task%20Challanges.md#20-first-non-repeating-char-in-a-string)
     - [Remove Duplicate Chars from a String](../../2\)%20Task%20Challanges.md#21-remove-duplicate-chars-from-a-string)
@@ -41,6 +47,8 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
     - [Cash Exchange](../../cheatsheet/cash-exchange.js)
     - [Longest Consequtive Sequence](../../cheatsheet/longest-cons-sequence.js)
 
+    <!-- TODO: expnanation of the logic of the solution -->
+
   </details>
 
 </details>
diff --git a/task-archieve/distance-between-bus-stops/task.md b/task-archieve/distance-between-bus-stops/task.md
index 7b7dea0..8510e3c 100644
--- a/task-archieve/distance-between-bus-stops/task.md
+++ b/task-archieve/distance-between-bus-stops/task.md
@@ -56,6 +56,8 @@ Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
 
   <summary><i><b><code>Do math or bitwise operation first on one part of the array and then on another part of of the array</code></b></i></summary>
 
+    <!-- TODO: abstract explanation of the Approach: The Approach is that ... -->
+
     This Task can also be solved using the Approach _`Do math or bitwise operation first on one part of the array and then on another part of of the array`_ ([solution 2](./solution-2.js)). First of all make sure that the pointer `start` is always _before_ the pointer `destination` (swap them if not so). Then you need to sum all the elements between `start` and `destination` (this is your sum going clockwise, math operation first on one part of the array), after this get the total sum of all the elements of the array and extract the sum of going clockwise from this total sum (this is your sum going counterclockwise, math operation on another part of of the array). Then return the lesser sum
 
   </details>
diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
index cfb2111..5c755ea 100644
--- a/task-archieve/find-peak-element/task.md
+++ b/task-archieve/find-peak-element/task.md
@@ -31,25 +31,15 @@ Explanation: Your function can return either index number 1 where the peak eleme
 
   <summary><i><b><code>Iterate an array</code></b></i></summary>
 
-    The Approach is simply that we iterate an array using one pointer and get the solution
+    The Approach is simply that we iterate an array using one pointer. Per itatation we do something with the element of the array knowing its value and its index and so on
 
-    To solve this particular task we need to compare the element to its neighbors
-
-    __Note:__ "pointer" is when we save number to a variable like `i` and use `i` as an index of the array and increment or decrement `i` per iteration, the `i` variable is thus called a _pointer_
+    __Note:__ "pointer" is when we save number to a variable like `i` and use `i` as an index of the array to get values of the array and increment or decrement `i` per iteration, the `i` variable is thus called a _pointer_
 
     __Note:__ just to be clear, "iteration" is the code that runs inside the braces of the for-loop or while-loop (each time the same code is run but with different values of the variable `i` (pointer) for example starting at 0 and ending with the index of the last element of the array)
 
     __Note:__ just to be clear, when we say "iterate an array" it means go over all the elements of the array (for example in the for-loop)
 
-    We have already seen a kindred task called [Love Triangle](../../cheatsheet/love-triangles.js). To solve that task we also simply iterate an array (and do certain things as we iterate it of course)
-
-    __Note:__ in the Love Triangle task we employ the Approach _`Use values as indexes`_ where we use _values_ of elements of the array as _indexes_ (in order to check if there is a cycle)
-
-    __Note:__ we have already seen a lot of tasks of the `One Pointer One Array` Task Type:
-    - [Palindrome](../../1\)%20Task%20Challanges.md#3-palindrome)
-    - [Stringo Reverso](../../1\)%20Task%20Challanges.md#17-stringo-reverso)
-    - [Reverse Word Order](../../1\)%20Task%20Challanges.md#18-reverse-word-order)
-    - [Reverse Words In Place](../../1\)%20Task%20Challanges.md#19-reverse-words-in-place)
+    In order to solve this particular task we need to compare the element the pointer is at to its neighbors
 
   </details>
 
diff --git a/task-archieve/flatten-nonrecursive/task.md b/task-archieve/flatten-nonrecursive/task.md
index 8492039..1fec43f 100644
--- a/task-archieve/flatten-nonrecursive/task.md
+++ b/task-archieve/flatten-nonrecursive/task.md
@@ -21,10 +21,13 @@ Also you cannot use recursion because an array can be very big and nested very d
 
   <summary><i><b><code>Do while loop while Stack is not empty popping and pushing along the way</code></b></i></summary>
 
-    The key to solving this particular Task is to see that you also need to push elements into the Stack in reverse order
+    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
+    <!-- TODO: maybe move abstract explanation of the Approach to an Easy Task -->
 
     __Note:__ the same Approach of using a Stack or a Queue and a while loop was used to perform the depth-first search or breadth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L113) or [here](../../corejs-codejam/task/07-yield-tasks.js#L147) (alternatively [here](../../snippets/Data%20Structures/binary-search-tree.js#L222))
 
+    The key to solving this particular Task is to see that you also need to push elements into the Stack in reverse order
+
   </details>
 
 </details>
diff --git a/task-archieve/interleaving-string/interleave.jpg b/task-archieve/interleaving-string/interleave.jpg
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HcmV?d00001

diff --git a/task-archieve/interleaving-string/solution-2.js b/task-archieve/interleaving-string/solution-2.js
new file mode 100644
index 0000000..5e6660d
--- /dev/null
+++ b/task-archieve/interleaving-string/solution-2.js
@@ -0,0 +1,27 @@
+function isInterleave(s1, s2, s3) {
+    function inspect(left, right, s) {
+        if (s.length === 0 && left.length === 0 && right.length === 0) {
+            return true;
+        }
+
+        if (s.length === 0 && (left.length !== 0 || right.length !== 0)) {
+            return false;
+        }
+
+        if (s[0] === left[0]) {
+            if (inspect(left.slice(1), right, s.slice(1))) {
+                return true;
+            }
+        }
+
+        if (s[0] === right[0]) {
+            if (inspect(left, right.slice(1), s.slice(1))) {
+                return true;
+            }
+        }
+
+        return false;
+    }
+
+    return inspect(s1, s2, s3);
+}
diff --git a/task-archieve/interleaving-string/solution.js b/task-archieve/interleaving-string/solution.js
new file mode 100644
index 0000000..b825484
--- /dev/null
+++ b/task-archieve/interleaving-string/solution.js
@@ -0,0 +1,97 @@
+
+
+// TODO: take out big guns
+    // * NOTE: perhaps watching these videos at random at different times of the day is this system on steroids !!!
+    // https://youtu.be/ih2OZ9-M3OM?si=57bep5dDMKBs7cuW
+    // https://youtu.be/3Rw3p9LrgvE?si=tn9pxd9ogXO-EjtJ
+    // https://youtu.be/EzQ_YEmR598?si=oxBaFIeVDdBHvXAe
+    // https://youtube.com/playlist?list=PLjOcsOwEjb12kPbh4f1BjWh-sao0tX-Md&si=7e8s9Y6xrA4612jk
+
+// TODO: here: tabulation: see the idea of the solution in task.md
+
+function isInterleave(s1, s2, s3) {
+    // Check if the total length of s1 and s2 is equal to s3
+    if (s1.length + s2.length !== s3.length) {
+        return false;
+    }
+
+    // Create a 2D dynamic programming array dp
+    const dp = new Array(s1.length + 1)
+        .fill(false)
+        .map(() => {
+            return new Array(s2.length + 1).fill(false);
+        });
+
+    // Base case: Both s1 and s2 are empty, and s3 is also empty
+    dp[0][0] = true;
+
+    // Fill the first column of dp using s1 and s3
+    for (let i = 1; i <= s1.length; i++) {
+        dp[i][0] = dp[i - 1][0] && s1[i - 1] === s3[i - 1];
+    }
+
+    // Fill the first row of dp using s2 and s3
+    for (let j = 1; j <= s2.length; j++) {
+        dp[0][j] = dp[0][j - 1] && s2[j - 1] === s3[j - 1];
+    }
+
+    // Fill the rest of the dp array based on character matching logic
+    for (let i = 1; i <= s1.length; i++) {
+        for (let j = 1; j <= s2.length; j++) {
+            dp[i][j] = (
+                (dp[i - 1][j] && s1[i - 1] === s3[i + j - 1]) ||
+                (dp[i][j - 1] && s2[j - 1] === s3[i + j - 1])
+            );
+        }
+    }
+
+    // Return whether the last cell of dp is true, indicating s3 can be formed by interleaving s1 and s2
+    return dp[s1.length][s2.length];
+}
+
+const s1 = "aabcc";
+const s2 = "dbbca";
+const s3 = "aadbbcbcac";
+
+console.log(isInterleave(s1, s2, s3)); // Output: true
+
+/*
+
+  a a b c c
+a + + * * *
+a + + * * *
+d * * * * *
+b * * + * *
+b * * + * *
+c * * * + +
+b * * + * *
+c * * * + +
+a + + * * *
+c * * * + +
+
+  d b b c a
+a * * * * +
+a * * * * +
+d + * * * *
+b * + + * *
+b * + + * *
+c * * * + *
+b * + + * *
+c * * * + *
+a * * * * +
+c * * * + *
+
+a 1 1 * * 2
+a 1 1 * * 2
+d 2 * * * *
+b * 2 3 * *
+b * 2 3 * *
+c * * * 3 1
+b * 2 3 * *
+c * * * 3 1
+a 1 1 * * 2
+c * * * 3 1
+
+MAYBE: take from each row one choice such so as to walk all the way down
+
+*/
diff --git a/task-archieve/interleaving-string/task.md b/task-archieve/interleaving-string/task.md
new file mode 100644
index 0000000..765729b
--- /dev/null
+++ b/task-archieve/interleaving-string/task.md
@@ -0,0 +1,59 @@
+# Interleaving String
+
+Given strings `s1`, `s2`, and `s3`, find whether `s3` can be formed by __interleaving__ `s1` and `s2`
+
+__Example 1:__
+
+<img src=./interleave.jpg width=300 />
+
+```
+Input: s1 = "aabcc", s2 = "dbbca", s3 = "aadbbcbcac"
+Output: true
+Explanation: One way to obtain s3 is:
+  Split s1 into s1 = "aa" + "bc" + "c", and s2 into s2 = "dbbc" + "a"
+  Interleaving the two splits we get "aa" + "dbbc" + "bc" + "a" + "c" = "aadbbcbcac"
+  Since s3 can be obtained by interleaving s1 and s2 we return true
+```
+
+__Example 2:__
+
+```
+Input: s1 = "aabcc", s2 = "dbbca", s3 = "aadbbbaccc"
+Output: false
+Explanation: It is impossible to interleave s2 with s1 in order to obtain s3
+```
+
+__Example 3:__
+
+```
+Input: s1 = "", s2 = "", s3 = ""
+Output: true
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+- __`TODO: Task Type`__
+  <details>
+
+  <summary><i><b><code>TODO: Approach</code></b></i></summary>
+
+    <!-- TODO: write the Approach using One Pointer One Array and recursion -->
+
+    <!-- TODO: write Tabulation: use 2D array to hold value of whether it interleaves or not then iterate this 2D array decreasing the area to look at to match the index of the letter and see if in this area in at lease one cell the letters have overlapped -->
+
+    TODO: explanation of Approach
+
+    TODO: optional: example of Approach
+
+    TODO: optional: how to apply the Approach to the Task
+
+  </details>
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
diff --git a/task-archieve/intersection-intervals/task.md b/task-archieve/intersection-intervals/task.md
index 1361b0d..b5167d5 100644
--- a/task-archieve/intersection-intervals/task.md
+++ b/task-archieve/intersection-intervals/task.md
@@ -25,11 +25,17 @@ user2 [(10, 14), (21, 22)]
 
   <summary><i><b><code>Two pointers of two arrays increase like in Merge Sort</code></b></i></summary>
 
-    It is one of those tasks where we use two pointers (save indexes like `i` and `j` to a variable, `i` is for the 1st array and `j` is for the 2nd array) to iterate __two__ arrays _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. The part of the "Merge Sort" algorithm that checks two sub-arrays uses similar mechanics ([link](../../snippets/algorithms/merge-sort.js#L12))
+    <!-- TODO: move abstract explanation of the Approach to an Easy Task: TODO: merge two sorted arrays -->
+    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
+    <!--
+    It is one of those tasks where we use two pointers (save indexes like `i` and `j` to a variable, `i` is for the 1st array and `j` is for the 2nd array) to iterate __two__ arrays _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. The part of the "Merge Sort" algorithm that checks two sub-arrays uses similar mechanics as this Approach ([link](../../snippets/algorithms/merge-sort.js#L12))
 
-    So we create a 3rd array and according to some logic push to the 3rd array either element at pointer `i` from the 1st array (and increment `i`) or element at pointer `j` from the 2nd array (and increment `j`). The logic of choosing between `i` or `j` might be as simple as which element is smaller: element at `i` or element `j`
+    So the Approach is: we create a 3rd array and according to some logic push to the 3rd array either element at pointer `i` from the 1st array (and increment `i`) or element at pointer `j` from the 2nd array (and increment `j`). The logic of choosing between `i` or `j` might be as simple as which element is smaller: element at `i` or element `j`
 
-    __Note:__ ["Merge Two Sorted Arrays" task](../../1\)%20Task%20Challanges.md#15-merge-two-sorted-arrays) is the most classic example of a task that uses the Approach _`Two pointers of two arrays increase like in Merge Sort`_
+    __Note:__ in fact the "Merge Sort" algorithm is merely this Approach we are looking at here but with recursion to it
+    -->
+
+    <!-- TODO: expnanation of the logic of the solution -->
 
   </details>
 
diff --git a/task-archieve/letter-combinations-of-a-phone-number/task.md b/task-archieve/letter-combinations-of-a-phone-number/task.md
index 73ae84b..86eb844 100644
--- a/task-archieve/letter-combinations-of-a-phone-number/task.md
+++ b/task-archieve/letter-combinations-of-a-phone-number/task.md
@@ -52,12 +52,15 @@ Output:
 
   <summary><i><b><code>Get all unique combinations of values of many arrays in any order</code></b></i></summary>
 
-    Think of each button of the phone as an array consisting of 3 elements (for example for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the Approach _`Get all unique combinations of values of many arrays in any order`_. In order to do this we need to tweak the Approach called _`Merge two Queues of prefixes`_ which we have seen in pure form in [this task](../unpack-ip/task.md)
-
+    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
+    <!--
     It works in this way:
     1. At the beginning, it is an empty string
     2. A new layer is obtained by adding characters at the end of the previous layer
     3. After the new layer is obtained, the previous layer is not used
+    -->
+
+    Think of each button of the phone as an array consisting of 3 elements (for example for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the Approach _`Get all unique combinations of values of many arrays in any order`_. In order to do this we need to tweak the Approach called _`Merge two Queues of prefixes`_ which we have seen in pure form in [this task](../unpack-ip/task.md)
 
     Here is a visual representation of the algorithm:
 
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
index 5278562..c7ffe70 100644
--- a/task-archieve/longest-letter-subsequence/task.md
+++ b/task-archieve/longest-letter-subsequence/task.md
@@ -25,13 +25,9 @@ longestStr('ababababccddddddd', 3); // L=17 N=4 K=3 result: 10
 
   <summary><i><b><code>Sliding Window. Dynamic size</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
 
-    It is one of those tasks where you use two pointers (save indexes like `i` and `j` to a variable) to iterate an array _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. Here is [another task](../most-water/task.md) whose solution uses similar mechanics though it doesn't use the _Sliding Window_ technique like we need in this task
+    <!-- TODO: links to Easy Tasks -->
 
-    For this particular task we need to use the _Sliding Window_ technique and along with the _Sliding Window_ technique you also need to enable the _power of HashMap_
-
-    __Note:__ like we said one of the Approaches used in this task is called _`Sliding Window. Dynamic size`_. The particulars of this Approach are explained in [this task](../best-time-to-buy-and-sell-stock/task.md)
-
-    __Note:__ in order to find out how to use HashMap to solve tasks, please see [this task](../contiguous-array/task.md) or simply read [this article](../literature/hash-map.md)
+    <!-- TODO: expnanation of the logic of the solution: we need to combine the Approaches and then comes the explanation -->
 
   </details>
 
diff --git a/task-archieve/longest-sequence-of-ones/task.md b/task-archieve/longest-sequence-of-ones/task.md
index 37d4484..9f56162 100644
--- a/task-archieve/longest-sequence-of-ones/task.md
+++ b/task-archieve/longest-sequence-of-ones/task.md
@@ -18,17 +18,17 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
   <summary><i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array keeping one or more max or min counters</code></b></i> + <i><b><code>Iterate an array keeping one or more previous counters</code></b></i></summary>
 
-    It is one of those tasks where you use one pointer to iterate the array as well as one or more counters that we may or may not reset sometimes
-
-    The key to the solution of this particular task is to reset one of the counters once we encounter a 0 (as we presume we should exclude only 0 if we are to find the longest sequence of 1's)
+    <!-- TODO:  Easy Task for Iterate an array incrementing and decrementing one or more counters: you use one pointer to iterate the array as well as one or more counters that we may or may not reset sometimes TODO: maybe like count number of 1's in an array or like the last sequence of 1's after 0 -->
 
     __Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration (and if we say "reset the counter" it means assign to the counter the value that it had before we started iterating the array)
 
     __Note:__ when we say "keep a counter" while iterating an array it means you iterate an array and on some or all iterations you update or reset the counter. Sometimes you merely increment or decrement the counter and sometimes (if the logic of the task is complex) you may assign some cleverly calculated value to it per iteration (the current value of the counter itself may be used to calculate its new value of course)
 
-    __Note:__ did you notice how we need to combine no less than 3 Approaches of the `Array and Counter` Task Type in order to get the solution?
+    <!-- TODO: Easy Task for Iterate an array keeping one or more max or min counters TODO: probably google on leetcode biggest integer in array -->
+
+    <!-- TODO: Easy Task for Iterate an array keeping one or more previous counters TODO: ["3 Greatest Integers in an Array"](../../2\)%20Task%20Challanges.md#30-3-greatest-integers-in-an-array -->
 
-    __Note:__ we have already seen a somewhat simpler task where we used counters to solve it. The task is called ["3 Greatest Integers in an Array"](../../2\)%20Task%20Challanges.md#30-3-greatest-integers-in-an-array) (this Task uses the _`Iterate an array keeping one or more previous counters`_ Approach)
+    <!-- TODO: expnanation of the logic of the solution: we combine three Approaches and here comes the explanation -->
 
   </details>
 
diff --git a/task-archieve/missing-number-sorted-array/task.md b/task-archieve/missing-number-sorted-array/task.md
index 157ab7a..00bb511 100644
--- a/task-archieve/missing-number-sorted-array/task.md
+++ b/task-archieve/missing-number-sorted-array/task.md
@@ -35,7 +35,7 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
   <summary><i><b><code>Find the relation between the indexes and the values of the array</code></b></i></summary>
 
-    This is a classic task where you need to look at and analyze the _relation_ between the indexes of the array, or the _relation_ between the values of the array, or the _relation_ of the indexes to the values of the array. Basically it could mean something like this: see what index (or value) the element of the array had and what index (or value) the element of the array should have in the solution and find the relation between these two
+    This is a classic task where the Approach is to look at and analyze the _relation_ between the indexes of the array, or the _relation_ between the values of the array, or the _relation_ of the indexes to the values of the array. Basically it could mean something like this: see what index (or value) the element of the array had and what index (or value) the element of the array should have in the solution and find the relation between these two
 
     To solve this particular task you should merely see the _relation_ of the indexes to the values of the array in that each value in the array should be _equal_ to its index and if it is not then the index of the value is the missing number!
 
diff --git a/task-archieve/missing-number/task.md b/task-archieve/missing-number/task.md
index da28882..e8e8686 100644
--- a/task-archieve/missing-number/task.md
+++ b/task-archieve/missing-number/task.md
@@ -35,6 +35,8 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
 
   <summary><i><b><code>Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in the array</code></b></i></summary>
 
+    <!-- TODO: copy HashMap into a separate Approach SPOILER and link it to the Easy Task -->
+
     We can assume this task to be a `Array and HashMap` Task Type and solve it this way using a HashMap:
 
     ```js
@@ -56,6 +58,8 @@ Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0
     }
     ```
 
+    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
+
     But we can solve it even more effectively if we treat it as `Array Math Operation on All Elements` Task Type and apply XOR operation for all the elements of the array similar to [that task](../single-number/task.md) (we XOR `0` by all the elements of the array and save the result to some _counter_). However for this particular task you may need to apply the Math Operation (in our case XOR) _twice_: first for all the elements of the array, then to the same _counter_ for all the elements that _should be_ in the array (similar to the HashMap solution above). Thus you need to utilize the Approach _`Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in the array`_
 
     __Note:__ this task can also be solved not only by doing a XOR but also by applying a Math formula for all the elements of the array. You can find this solution [here](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array)
diff --git a/task-archieve/most-water/task.md b/task-archieve/most-water/task.md
index 8e29a3b..f697c67 100644
--- a/task-archieve/most-water/task.md
+++ b/task-archieve/most-water/task.md
@@ -64,7 +64,9 @@ Start with the maximum width container and go to a shorter width container if th
 
   <summary><i><b><code>Two pointers go from start and end until some condition</code></b></i></summary>
 
-    For the solution of this particular task your left pointer going from the start to the end and your right pointer going from the end to the start are going to form a rectangular space. You need to note the size of that space formed by the left and right pointers and keep increasing either the left pointer or the right one depending on which one has the smaller height. This allows us to try and find the biggest rectangular space that can be formed by two pointers and thus attain the solution. The business logic of this Task is somewhat related to geometry by its nature
+    The Approach is that we create two pointers: the first pointer goes from the start of the array to the end of the array and the other pointer goes from the end of the array to the start of the array until both pointers meet
+
+    For the solution of this particular task your left pointer going from the start to the end and your right pointer going from the end to the start are going to form a rectangular space (distance between the pointers is width and the smaller value of either the left or the right pointer is height, see the picture in Hint). You need to note the size of that space formed by the left and right pointers and keep increasing either the left pointer or the right pointer depending on which one has the smaller height (which one points to the smaller value). This allows us to try and find the biggest rectangular space that can be formed by two pointers and thus attain the solution. The logic of this Task is somewhat related to geometry by its nature
 
   </details>
 
diff --git a/task-archieve/partition-labels/task.md b/task-archieve/partition-labels/task.md
index 4468341..ddd9085 100644
--- a/task-archieve/partition-labels/task.md
+++ b/task-archieve/partition-labels/task.md
@@ -28,6 +28,7 @@ Output: [10]
 
 <summary>Hint</summary>
 
+<!-- TODO: links to Easy Tasks -->
 This is a `Array and HashMap` Task Type. We have already seen an example of this Task Type when we were solving the ["Contiguous Array" task](../contiguous-array/task.md). But this task is a tar bit more complicated because in the ["Contiguous Array" task](../contiguous-array/task.md) we simply created a HashMap and it helped us solve the task even while we were iterating the input array (or the input data, to be precise) but in _this_ task we need to use a different and a bit more complex but very similar Approach to attain the solution. Here we are supposed to _create one or more HashMaps and then do something with all the new data_. Now what does this mean? It means that we need to iterate the array for the first time to create one or more HashMaps and then there are exactly two things that we can do:
 
 1. Iterate in some way the one or more HashMaps that we created during the first pass ( _Approach 1_ )
@@ -38,6 +39,7 @@ And thus the solution should be revealed
 
 This Task is kind of interesting in that we can solve this Task using __either one or the other__ of the two Approaches mentioned above! In other words we can solve this task _either_ by iterating the HashMap that we create _or_ by iterating the input array once again using the HashMap
 
+<!-- TODO: move to the Easy Task: -->
 __Note:__ we say "array" here while the function accepts a string. The logic behind this is that we iterate the string the same way as an array and therefore the input string is like an array for us
 
 One thing is for sure, we need to create a HashMap where we map the letters to the indexes in the string at which those letters were encountered
@@ -57,6 +59,8 @@ Then follow one of the two Approaches of the `Array and HashMap` Task Type in th
 
   <summary><i><b><code>Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way</code></b></i></summary>
 
+    <!-- TODO: move abstract explanation of the Approach to an Easy Task -->
+
     We need to create a HashMap like we have seen in Hint above
 
     Then if you take a look at the _values_ of the HashMap we can see that the values represent _intervals_ indicating the first and last index where each letter can be found in the input string (in the arrays that make up the values of the HashMap the first value is the first index where the letter can be found and can be treated as the start of the _interval_ and the last value is the last index where the letter can be found and therefore can be treated as the end of the _interval_)
@@ -73,6 +77,8 @@ Then follow one of the two Approaches of the `Array and HashMap` Task Type in th
 
   <summary><i><b><code>Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)</code></b></i></summary>
 
+    <!-- TODO: move abstract explanation of the Approach to an Easy Task -->
+
     This solution is a bit less obvious than the first one
 
     First of all we need to create a HashMap like we have seen in Hint above
@@ -87,6 +93,7 @@ Then follow one of the two Approaches of the `Array and HashMap` Task Type in th
 
 <summary>Similar Tasks</summary>
 
+<!-- TODO: move Similar Task to an Easy Task -->
 - [Top K Frequent Elements](../top-k-frequent-elements/task.md)
 
 </details>
diff --git a/task-archieve/remove-duplicates-sorted-array/task.md b/task-archieve/remove-duplicates-sorted-array/task.md
index 9a28805..396ffb9 100644
--- a/task-archieve/remove-duplicates-sorted-array/task.md
+++ b/task-archieve/remove-duplicates-sorted-array/task.md
@@ -47,6 +47,10 @@ It does not matter what you leave beyond the returned k (hence they are undersco
 
     """
 
+    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
+
+    <!-- TODO: expnanation of the logic of the solution -->
+
   </details>
 
   ---
@@ -57,6 +61,8 @@ It does not matter what you leave beyond the returned k (hence they are undersco
 
     We can also solve the task by following the same logic as the overwriting solution entails except instead of overwriting elements we are going to be swapping elements ([solution 2](./solution-2.js))
 
+    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
+
     Sometimes the overwriting Approach doesn't fit because by overwriting we create duplicate elements in the array (which may be a problem if we want to iterate the same array again) but with swapping we don't, we merely swap. However the logic of the solution of this task doesn't care if we swap or overwrite so we can use either Approach
 
   </details>
diff --git a/task-archieve/reverse-array/task.md b/task-archieve/reverse-array/task.md
index ec85ac6..fb2ad4a 100644
--- a/task-archieve/reverse-array/task.md
+++ b/task-archieve/reverse-array/task.md
@@ -25,6 +25,8 @@ Output: ['c','b','a']
 
   <summary><i><b><code>Iterate an array in reverse</code></b></i></summary>
 
+    <!-- TODO: abstract explanation of the Approach: The Approach is that ... -->
+
     We can iterate the array in reverse, create a new array with all the elements in reverse order and return the new array. Applying this Approach we can create a solution that uses `O(n)` memory where `n` is the size of the array
 
   </details>
@@ -36,7 +38,9 @@ Output: ['c','b','a']
 
   <summary><i><b><code>Swap elements of one or more arrays. Swap one part of the array with the other part of the array</code></b></i></summary>
 
-    We can separate the array in the middle into two equal parts. Then we swap the elements of the first part with the elements of the other part. For example if we use pointer `i` to iterate the array then we swap element `i` (element from the first part) with element `length - i` (element from the other part). Applying this Approach we can create a solution that uses `O(1)` memory which is good
+    <!-- TODO: abstract explanation of the Approach: The Approach is that ... -->
+
+    We can separate the array in the middle into two equal parts. Then we swap the elements of the first part with the elements of the other part. For example if we use pointer `i` to iterate the array then we swap element `i` (element from the first part of the array) with element `length - i` (element from the other part of the array). Applying this Approach we can create a solution that uses `O(1)` memory which is good
 
   </details>
 
diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
index a6b6e49..cc283a9 100644
--- a/task-archieve/single-number/task.md
+++ b/task-archieve/single-number/task.md
@@ -13,6 +13,8 @@ You must implement a solution with a linear runtime complexity and use only cons
 
   <summary><i><b><code>Do math or bitwise operation on all the elements of the array</code></b></i></summary>
 
+    <!-- TODO: copy HashMap into a separate Approach SPOILER and link it to the Easy Task -->
+
     We can assume this task to be a `Array and HashMap` Task Type and solve it this way: as we iterate through the `nums` array we store the elements encountered and check if we find them again while iteration continues and the element we didn't find twice is the missing element:
 
     ```js
@@ -33,6 +35,8 @@ You must implement a solution with a linear runtime complexity and use only cons
 
     But this HashMap approach uses `O(n)` extra memory. We can optimize it if we treat this task _not_ as a `Array and HashMap` Task Type but rather as `Array Math Operation on All Elements` Task Type
 
+    <!-- TODO: refactor abstract explanation of the Approach TODO: The Approach is that ... -->
+
     `Array Math Operation on All Elements` Task Type is the type of task where we do some Math operation on all elements of the array and the result of this operation on all the elements is the result of solving the task. For example we saw the [Find a Missing Number in an Unsorted Array](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array) task earlier. In order to solve that task we summed all the elements of the array and then extracted the sum we got from the sum we wanted and were thus able to find the missing element using constant `O(1)` extra memory
 
     Let's see how we can use the Approach _`Do math or bitwise operation on all the elements of the array`_ of the `Array Math Operation on All Elements` Task Type to solve this Task
diff --git a/task-archieve/sort-colors/task.md b/task-archieve/sort-colors/task.md
index f887bac..a4e89a8 100644
--- a/task-archieve/sort-colors/task.md
+++ b/task-archieve/sort-colors/task.md
@@ -43,11 +43,10 @@ You can find the overwriting type of solution and the swapping type of solution
 
   <summary><i><b><code>Overwrite elements of one or more arrays. Iterate the array and get some information. Then based on this information iterate the array again overwriting its values</code></b></i></summary>
 
+    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
     The solution that entails overwriting elements of the array is a two-pass algorithm using counting sort
 
-    Iterate the array counting number of `0`s, `1`s, and `2`s
-
-    Overwrite the array with the _total_ number of `0`s, then `1`s and followed by `2`s
+    Iterate the array counting number of `0`s, `1`s, and `2`s. Then overwrite the array with the _total_ number of `0`s, then `1`s and followed by `2`s
 
   </details>
 
@@ -57,7 +56,7 @@ You can find the overwriting type of solution and the swapping type of solution
 
   <summary><i><b><code>Swap elements of one or more arrays. Dutch National Flag algorithm</code></b></i></summary>
 
-    The solution that entails swapping elements of the array is a famous Dutch National Flag alogrithm. The Dutch National Flag algorithm is a sorting algorithm that partitions an array containing elements of three distinct values (for example, `0`s, `1`s, and `2`s) into three parts, in a single traversal of the array. The algorithm is named after the Dutch national flag, which has three horizontal stripes of red, white, and blue
+    The Approach that entails swapping elements of the array is a famous Dutch National Flag alogrithm. The Dutch National Flag algorithm is a sorting algorithm that partitions an array containing elements of three distinct values (for example, `0`s, `1`s, and `2`s) into three parts, in a single traversal of the array. The algorithm is named after the Dutch national flag, which has three horizontal stripes of red, white, and blue
 
     The algorithm uses three pointers (let's call them `s`, `e` and `n` respectively) to partition the array into three sections:
 
diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
index 5007c12..bf53379 100644
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ b/task-archieve/sort-letters-two-arrays/task.md
@@ -74,8 +74,6 @@ To solve this task you need to simply _sort_ the elements of the 2nd array (the
 
     __Note:__ this example of a solution above (which we said doesn't solve this particular task, the reason for it is what we saw in Hint 1) doesn't swap but rather overwrites elements of the array. The Approach we are studying in this particular task is called _`Swap elements of one or more arrays`_. To solve this particular task you need to swap elements instead of overwriting them and for the overwrite Approach of this Task Type feel free to check out the [sibling task](../remove-duplicates-sorted-array/task.md)
 
-    __Note:__ we have already seen the ["Push Zeros Case" task](../../2\)%20Task%20Challanges.md#29-push-zeros-case) where we used the In-Place Swap type of algorithm to solve it
-
   </details>
 
 </details>
diff --git a/task-archieve/task-type-summary/README.md b/task-archieve/task-type-summary/README.md
index 91a55e0..359eb39 100644
--- a/task-archieve/task-type-summary/README.md
+++ b/task-archieve/task-type-summary/README.md
@@ -4,6 +4,8 @@
 
 > :bulb: `approach2(...)` means that the posssibilities of further actions are so vast that it is surely going to be some other Approach used in that place thereby making the solution a combination of two Approaches instead of just one (and the immediate business logic of the Task of course). The same is if you encounter `approach3(...)` then it is going to be a combination of 3 Approaches and so forth
 
+> :bulb: One should also consider using recursion especially with simple Approaches
+
 ## Contents
 
 - [Array](./array.md)
diff --git a/task-archieve/task-type-summary/algorithms.md b/task-archieve/task-type-summary/algorithms.md
index 05eb7c6..43b4812 100644
--- a/task-archieve/task-type-summary/algorithms.md
+++ b/task-archieve/task-type-summary/algorithms.md
@@ -331,6 +331,8 @@
 
 ## __`Tabulation`__
 
+<!-- TODO: here -->
+
 ---
 
 | [:arrow_left: back](./README.md) |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 5338dc7..46c97cb 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -8,11 +8,13 @@ _Tasks grouped by_ `Task Type`
 
 ### One Pointer One Array
   - [Find Peak Element](./find-peak-element/task.md)
-  - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
   - [Reverse an Array](./reverse-array/task.md)
+  - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
+  <!-- TODO: Use values as indexes (Love Triangles) -->
   - [Basketball Games](./basketball-games/task.md)
 
 ### Two Pointers Two Arrays
+  <!-- TODO: Two pointers of two arrays increase like in Merge Sort (Merge two sorted arrays) -->
   - [Intersection of intervals](./intersection-intervals/task.md)
 
 ### Two Pointers One Array
@@ -69,3 +71,4 @@ _Tasks grouped by_ `Task Type`
 
 ### Tabulation
   - [Word Break](./word-break/task.md)
+  - [Interleaving String](./interleaving-string/task.md)
diff --git a/task-archieve/template/task-type-2-approach.md b/task-archieve/template/task-type-2-approach.md
index f489e5c..db1b4b5 100644
--- a/task-archieve/template/task-type-2-approach.md
+++ b/task-archieve/template/task-type-2-approach.md
@@ -19,11 +19,11 @@ TODO: optional: hint description
 
   <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
 
-    TODO: explanation of Approach
+    TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
 
-    TODO: optional: example of Approach
+    TODO: expnanation of the logic of the solution and how the Approach is applied
 
-    TODO: optional: how to apply the Approach to the Task
+    TODO: optional: example of the logic of the solution
 
   </details>
 
@@ -34,11 +34,11 @@ TODO: optional: hint description
 
   <summary><i><b><code>TODO: Approach 2</code></b></i> + <i><b><code>TODO: Approach 3</code></b></i></summary>
 
-    TODO: explanation of Approaches
+    TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
 
-    TODO: optional: example of Approaches
+    TODO: expnanation of the logic of the solution and how the Approach is applied
 
-    TODO: optional: how to apply the Approaches to the Task
+    TODO: optional: example of the logic of the solution
 
   </details>
 
diff --git a/task-archieve/template/task-type-approach-2.md b/task-archieve/template/task-type-approach-2.md
index 17d7884..b2995b4 100644
--- a/task-archieve/template/task-type-approach-2.md
+++ b/task-archieve/template/task-type-approach-2.md
@@ -19,11 +19,11 @@ TODO: optional: hint description
 
   <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
 
-    TODO: explanation of Approach
+    TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
 
-    TODO: optional: example of Approach
+    TODO: expnanation of the logic of the solution and how the Approach is applied
 
-    TODO: optional: how to apply the Approach to the Task
+    TODO: optional: example of the logic of the solution
 
   </details>
 
@@ -33,11 +33,11 @@ TODO: optional: hint description
 
   <summary><i><b><code>TODO: Approach 2</code></b></i></summary>
 
-    TODO: explanation of Approach
+    TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
 
-    TODO: optional: example of Approach
+    TODO: expnanation of the logic of the solution and how the Approach is applied
 
-    TODO: optional: how to apply the Approach to the Task
+    TODO: optional: example of the logic of the solution
 
   </details>
 
diff --git a/task-archieve/template/task-type-approach.md b/task-archieve/template/task-type-approach.md
index 2bc62bd..4333e6e 100644
--- a/task-archieve/template/task-type-approach.md
+++ b/task-archieve/template/task-type-approach.md
@@ -19,11 +19,11 @@ TODO: optional: hint description
 
   <summary><i><b><code>TODO: Approach</code></b></i></summary>
 
-    TODO: explanation of Approach
+    TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
 
-    TODO: optional: example of Approach
+    TODO: expnanation of the logic of the solution and how the Approach is applied
 
-    TODO: optional: how to apply the Approach to the Task
+    TODO: optional: example of the logic of the solution
 
   </details>
 
diff --git a/task-archieve/top-k-frequent-elements/task.md b/task-archieve/top-k-frequent-elements/task.md
index bab64f4..a052e69 100644
--- a/task-archieve/top-k-frequent-elements/task.md
+++ b/task-archieve/top-k-frequent-elements/task.md
@@ -25,6 +25,8 @@ Output: [1]
 
   <summary><i><b><code>Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way</code></b></i></summary>
 
+    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... BUT keep in mind we have already seen this approach so this is a Similar Task essentially -->
+
     In order to solve the task you need to create HashMap and iterate this HashMap in some way similarly to [this task](../partition-labels/task.md) except here we need not to iterate but rather _sort_ this HashMap we get
 
     Just don't be fooled by the mention of "any order" in the task description into thinking it is a Task Type for Backtracking
diff --git a/task-archieve/unpack-ip/task.md b/task-archieve/unpack-ip/task.md
index 821afe5..db7a8b6 100644
--- a/task-archieve/unpack-ip/task.md
+++ b/task-archieve/unpack-ip/task.md
@@ -41,6 +41,7 @@ Output: ['1.2.3.1', '1.2.3.2', '1.2.3.3', '1.2.3.7']
 
   <summary><i><b><code>Merge two Queues of prefixes</code></b></i></summary>
 
+    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
     Basically we use one Queue as a Queue of prefixes and each of the prefixes we combine with an array of other values and put into a new Queue. Then the old Queue is disregarded and the new Queue is used as a Queue of prefixes again in the next iteration
 
     In our task each octet or a series of octets is a prefix. If we encounter a simple octet we append it to the previous octets in the Queue. If we encounter either of the patterns then we append an octet to the previous octets in the Queue several times for each octet of the pattern
diff --git a/task-archieve/valid-parentheses/task.md b/task-archieve/valid-parentheses/task.md
index 0f6815a..353c29c 100644
--- a/task-archieve/valid-parentheses/task.md
+++ b/task-archieve/valid-parentheses/task.md
@@ -37,6 +37,7 @@ Output: false
 
   <summary><i><b><code>Create and use one or more Stacks as you iterate an array</code></b></i></summary>
 
+    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
     So you need to iterate a string as an array and use a Stack in order to solve the task
 
     If you encounter an opening bracket then you need to push it to the Stack. If you encounter a closing bracket then you need to pop the opening bracket off the Stack (only make sure that you pop off the same type of opening bracket as you found a closing bracket for otherwise the brackets are placed incorrectly)
diff --git a/task-archieve/word-break/solution-2.js b/task-archieve/word-break/solution-2.js
new file mode 100644
index 0000000..88a2dcf
--- /dev/null
+++ b/task-archieve/word-break/solution-2.js
@@ -0,0 +1,22 @@
+function wordBreak(s, wordDict) {
+    const wordDictSet = new Set(wordDict);
+
+    function inspect(part) {
+        if (part.length === 0) {
+            return true;
+        }
+
+        for (let i = 0; i < s.length; i++) {
+            const word = part.slice(0, i + 1);
+            const rest = part.slice(i + 1);
+
+            if (wordDictSet.has(word) && inspect(rest)) {
+                return true;
+            }
+        }
+
+        return false;
+    }
+
+    return inspect(s);
+}
diff --git a/task-archieve/word-break/solution.js b/task-archieve/word-break/solution.js
index aa5ce60..403941b 100644
--- a/task-archieve/word-break/solution.js
+++ b/task-archieve/word-break/solution.js
@@ -1,2 +1,23 @@
 function wordBreak(s, wordDict) {
+    const n = s.length;
+    const dp = new Array(n + 1).fill(false);
+    const wordDictSet = new Set(wordDict);
+
+    dp[0] = true;
+
+    for (let i = 0; i < n; i++) {
+        if (!dp[i]) {
+            continue;
+        }
+
+        for (let j = i + 1; j <= n; j++) {
+            const part = s.slice(i, j);
+
+            if (wordDictSet.has(part)) {
+                dp[j] = true;
+            }
+        }
+    }
+
+    return dp[n];
 }
diff --git a/task-archieve/word-break/task.md b/task-archieve/word-break/task.md
index 2125f38..c714981 100644
--- a/task-archieve/word-break/task.md
+++ b/task-archieve/word-break/task.md
@@ -32,6 +32,24 @@ Output: false
 
 <summary>Task Type</summary>
 
+- __`TODO: Task Type`__
+  <details>
+
+  <summary><i><b><code>TODO: Approach</code></b></i></summary>
+
+    <!-- TODO: write the Approach using One Pointer One Array and recursion -->
+    <!-- TODO: write to task type description: We need to check which way to go, go both ways to see which one is correct: that is a call for recursion -->
+
+    <!-- TODO: write Tabulation: it means as using an array as a data structure that holds in it the results of some computations in order to see if this array enables us to solve the Task -->
+
+    TODO: explanation of Approach
+
+    TODO: optional: example of Approach
+
+    TODO: optional: how to apply the Approach to the Task
+
+  </details>
+
 </details>
 
 ---

From 4c37ac7520c2c266cb9982257128bbf03b766440 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 22 Apr 2024 20:03:11 +0300
Subject: [PATCH 083/110] commit the todo

---
 task-archieve/Kata.txt                        | 61 +++++++++++++++++++
 .../best-time-to-buy-and-sell-stock/task.md   |  1 +
 task-archieve/contiguous-array/task.md        |  4 ++
 task-archieve/sort-colors/task.md             |  1 +
 4 files changed, 67 insertions(+)
 create mode 100644 task-archieve/Kata.txt

diff --git a/task-archieve/Kata.txt b/task-archieve/Kata.txt
new file mode 100644
index 0000000..1805090
--- /dev/null
+++ b/task-archieve/Kata.txt
@@ -0,0 +1,61 @@
+
+Go over all the Tasks and fill the TODO
+  - first create the Easy Tasks for all the Approaches
+  - then refactor the medium Tasks
+  - make sure no more TODOs are left in the task-archieve
+
+Sort README md by difficulty
+Sort task type md by difficulty
+Sort task type summary md by difficulty
+
+WRITE INTO EXTRA DOCUMENTATION:
+    1) visualize it and see how you would achieve the goal of the Task being completely unrestrained in your imagination and then see which of the ways of solving it you find this way coincidences with which of the Approaches or a combination of the Approaches + ALSO visualize every approach so you can use it like a spell in your imagination
+    2) Also append a note to extra-documentation that README md is Tasks grouped not by timeline but by difficulty in such a way as for a learner to learn
+    3) Make sure extra-documentation tells how to work with the Task Type spoilers and the Approaches
+    4) Make sure extra-documentation mentions how more complex solutions are almost always a combination of the Approaches (the solution utilizes the mechanics of several Approaches instead of just one Approach)
+    5) Explain how when the spoiler says Approach 1 + Approach 2 it means that you need to combine the mechanics of the two Approaches to get the solution
+    6) Just look at the code of the specific solution of the Task and then look at the the abstract code of the Approach in task type summary and you will see the similarity. This similarity is the abstract mechanics that can be reused across multiple Tasks
+    7) Same if you look at the solution that uses a combination of the Approaches. Look at the code of the specific solution and then look at the code of the Approaches that the solution combines and you will see how the mechanics of multiple Appearances intertwine and can be intertwined for attaining a solution to a Task
+
+isPalindrome (search on leetcode) as the template task for the Approach two pointers go in opposite directions
+  + go from start and end until meet Approach
+  + go in reverse Approach
+
+Solve the easy tasks and solidify the Approaches
+  > NOTE: you need the basic education u have never had before dealing with the medium tasks like you do
+  > NOTE: stick them to top of our list showcasing the Approaches more clearly than the current tasks do
+  tasks:
+    https://leetcode.com/list/xix1yu51/
+    https://youtube.com/playlist?list=PLjOcsOwEjb12kPbh4f1BjWh-sao0tX-Md&si=VAlR2vAb_7zZ0e1x
+
+MEDIUM:
+
+https://leetcode.com/problems/insert-interval/
+https://leetcode.com/problems/possible-bipartition/
+https://leetcode.com/problems/rotate-array/
+https://leetcode.com/problems/happy-number/
+https://leetcode.com/problems/count-primes/
+
+https://leetcode.com/problems/word-break/
+https://leetcode.com/problems/word-break/solutions/3205773/139-solution-with-step-by-step-explanation/
+https://leetcode.com/problems/word-break/solutions/3106264/simple-c-dp-short/
+* tabulation (say that it is like our dfs approach except with like memoization on steroids)
+
+https://leetcode.com/problems/interleaving-string/description/
+https://leetcode.com/problems/interleaving-string/solutions/2249509/python-simple-solution-w-explanation-recursion-dp/
+* same as before but tabulation using 2D arrays
+
+https://leetcode.com/problems/palindrome-partitioning/
+  * let's use our dfs function
+
+https://leetcode.com/problems/combination-sum/description/
+  * MORE DFS!!!
+  * https://leetcode.com/problems/combination-sum/solutions/1881839/easy-backtracking-approach-deduplicating-and-pruning/
+
+https://leetcode.com/problems/longest-palindromic-substring/
+NOTE: 1) NEW two indexes go away from each other, max counter, iterate array 2) tabulation
+https://leetcode.com/problems/longest-palindromic-substring/solutions/4212564/beats-96-49-5-different-approaches-brute-force-eac-dp-ma-recursion/
+
+(?) Maybe create a video like Debugger.mp4 showcasing all the features of the debugger
+  - first on MacOS
+  - then on Windows in the 2019 version of vscode
diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index 5786ee8..25b6cf2 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -33,6 +33,7 @@ Explanation: In this case, no transactions are done and the max profit = 0
   <summary><i><b><code>Sliding Window. Dynamic size</code></b></i></summary>
 
     <!-- TODO: Easy Task for Sliding Window fixed size -->
+    <!-- TODO: The example in the article (sliding window) is your Easy Task for this Approach -->
     <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
 
     This is a task for two pointers. Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have the left pointer behind the right pointer and per iteration we either increment the left pointer or the right pointer or per iteration we increment both the left and the right pointers is called "_Sliding Window_"
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index bb63187..111d449 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -31,6 +31,10 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
     <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
 
+    <!-- TODO: The example in the article (hash map) is your Easy Task for this Approach -->
+
+    <!-- TODO: And the HashMap article also features two Approaches (the second one for create HashMap and iterate it) so please move the other one into a separate Task -->
+
     The solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the `Array and HashMap` Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial)
 
     __Note:__ you can read more about using HashMap to solve tasks in [this article](../literature/hash-map.md) as this and many other tasks require this knowledge
diff --git a/task-archieve/sort-colors/task.md b/task-archieve/sort-colors/task.md
index a4e89a8..77f92a9 100644
--- a/task-archieve/sort-colors/task.md
+++ b/task-archieve/sort-colors/task.md
@@ -44,6 +44,7 @@ You can find the overwriting type of solution and the swapping type of solution
   <summary><i><b><code>Overwrite elements of one or more arrays. Iterate the array and get some information. Then based on this information iterate the array again overwriting its values</code></b></i></summary>
 
     <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
+    <!-- TODO: there can be an Easy Task (already is in my Interview Prep tasks) -->
     The solution that entails overwriting elements of the array is a two-pass algorithm using counting sort
 
     Iterate the array counting number of `0`s, `1`s, and `2`s. Then overwrite the array with the _total_ number of `0`s, then `1`s and followed by `2`s

From b89872be273b51b13063d594414b1c3651328117 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 24 Apr 2024 00:15:10 +0300
Subject: [PATCH 084/110] commit the todo

---
 task-archieve/contiguous-array/task.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
index 111d449..8ce6e7a 100644
--- a/task-archieve/contiguous-array/task.md
+++ b/task-archieve/contiguous-array/task.md
@@ -35,6 +35,8 @@ Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal numb
 
     <!-- TODO: And the HashMap article also features two Approaches (the second one for create HashMap and iterate it) so please move the other one into a separate Task -->
 
+    <!-- TODO: Find the first index of the element in an array that repeats N times is your task for Craate HashMap and iterate the array again using the HashMap -->
+
     The solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the `Array and HashMap` Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial)
 
     __Note:__ you can read more about using HashMap to solve tasks in [this article](../literature/hash-map.md) as this and many other tasks require this knowledge

From aa09e23b8dd05648afbe422a3a1598f7d6c81b78 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 25 Apr 2024 15:49:47 +0300
Subject: [PATCH 085/110] new todos and ideas

---
 task-archieve/Kata.txt           | 4 ++++
 task-archieve/README.md          | 1 +
 task-archieve/most-water/task.md | 2 ++
 3 files changed, 7 insertions(+)

diff --git a/task-archieve/Kata.txt b/task-archieve/Kata.txt
index 1805090..880f2cf 100644
--- a/task-archieve/Kata.txt
+++ b/task-archieve/Kata.txt
@@ -1,4 +1,8 @@
 
+Refactor task-type-summary:
+  * partsSeparator for math or bitwise on one part of the array then another part of the array
+  * refactor what goes into logic(...) in the Task Type summary
+
 Go over all the Tasks and fill the TODO
   - first create the Easy Tasks for all the Approaches
   - then refactor the medium Tasks
diff --git a/task-archieve/README.md b/task-archieve/README.md
index d0c3654..0a001c0 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -8,6 +8,7 @@ _List of tasks_
 
 [:ledger: _Task Template_](./template/README.md)
 
+<!-- TODO: continue refactoring: -->
 - [Find Peak Element](./find-peak-element/task.md)
 - [Reverse an Array](./reverse-array/task.md)
 - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
diff --git a/task-archieve/most-water/task.md b/task-archieve/most-water/task.md
index f697c67..eda63ae 100644
--- a/task-archieve/most-water/task.md
+++ b/task-archieve/most-water/task.md
@@ -64,6 +64,8 @@ Start with the maximum width container and go to a shorter width container if th
 
   <summary><i><b><code>Two pointers go from start and end until some condition</code></b></i></summary>
 
+    <!-- TODO: Find the longest distances between two elements of an array (like two a's in an array of letters) is your Easy Task for two pointers go from start and end until they meet -->
+
     The Approach is that we create two pointers: the first pointer goes from the start of the array to the end of the array and the other pointer goes from the end of the array to the start of the array until both pointers meet
 
     For the solution of this particular task your left pointer going from the start to the end and your right pointer going from the end to the start are going to form a rectangular space (distance between the pointers is width and the smaller value of either the left or the right pointer is height, see the picture in Hint). You need to note the size of that space formed by the left and right pointers and keep increasing either the left pointer or the right pointer depending on which one has the smaller height (which one points to the smaller value). This allows us to try and find the biggest rectangular space that can be formed by two pointers and thus attain the solution. The logic of this Task is somewhat related to geometry by its nature

From 224f3dd1c397ec2bf9e78670bd7be78fcf3b2733 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Sat, 27 Apr 2024 19:14:07 +0300
Subject: [PATCH 086/110] start refactoring

---
 task-archieve/Kata.txt                        |  4 -
 task-archieve/README.md                       |  6 +-
 .../distance-between-bus-stops/task.md        |  4 +-
 task-archieve/find-peak-element/task.md       |  4 +-
 task-archieve/reverse-array/task.md           |  6 +-
 task-archieve/task-type-summary/algorithms.md |  4 +-
 task-archieve/task-type-summary/array.md      | 86 ++++++++++---------
 .../template/task-type-2-approach.md          |  4 +-
 .../template/task-type-approach-2.md          |  4 +-
 task-archieve/template/task-type-approach.md  |  2 +-
 10 files changed, 64 insertions(+), 60 deletions(-)

diff --git a/task-archieve/Kata.txt b/task-archieve/Kata.txt
index 880f2cf..1805090 100644
--- a/task-archieve/Kata.txt
+++ b/task-archieve/Kata.txt
@@ -1,8 +1,4 @@
 
-Refactor task-type-summary:
-  * partsSeparator for math or bitwise on one part of the array then another part of the array
-  * refactor what goes into logic(...) in the Task Type summary
-
 Go over all the Tasks and fill the TODO
   - first create the Easy Tasks for all the Approaches
   - then refactor the medium Tasks
diff --git a/task-archieve/README.md b/task-archieve/README.md
index 0a001c0..b2aa57c 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -8,11 +8,13 @@ _List of tasks_
 
 [:ledger: _Task Template_](./template/README.md)
 
-<!-- TODO: continue refactoring: -->
 - [Find Peak Element](./find-peak-element/task.md)
 - [Reverse an Array](./reverse-array/task.md)
 - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
-<!-- TODO: Use values as indexes (Love Triangles) -->
+<!-- TODO: Use values as indexes (tweak it a bit to avoid counter: find a Love Triangle) -->
+<!-- TODO: counter Task Type Easy Tasks here NOTE: see the medium tasks for details -->
+<!-- TODO: continue refactoring: -->
+
 - [Container With Most Water](./most-water/task.md)
 - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
 - [Zigzag Conversion](./zigzag-conversion/task.md)
diff --git a/task-archieve/distance-between-bus-stops/task.md b/task-archieve/distance-between-bus-stops/task.md
index 8510e3c..60a35e1 100644
--- a/task-archieve/distance-between-bus-stops/task.md
+++ b/task-archieve/distance-between-bus-stops/task.md
@@ -45,7 +45,9 @@ Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
 
   <summary><i><b><code>Iterate an array</code></b></i> + <i><b><code>Iterate an array in reverse</code></b></i></summary>
 
-    First iterate the array and count the sum and then iterate the array in reverse (meaning counterclockwise) and count the sum. Overlap to the beginning or end of the array when necessary. Then return the lesser sum. Thus we utilize the two Approaches _`Iterate an array`_ and _`Iterate an array in reverse`_ in order to solve the Task ([solution 1](./solution.js))
+    In order to solve this Task we first iterate the array and count the sum and then iterate the array in reverse (meaning counterclockwise) and count the sum. Make sure to overlap to the beginning or end of the array when necessary. Then return the lesser sum
+
+    Thus we utilize the two Approaches _`Iterate an array`_ and _`Iterate an array in reverse`_ in order to solve the Task ([solution 1](./solution.js))
 
   </details>
 
diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
index 5c755ea..166601d 100644
--- a/task-archieve/find-peak-element/task.md
+++ b/task-archieve/find-peak-element/task.md
@@ -31,7 +31,7 @@ Explanation: Your function can return either index number 1 where the peak eleme
 
   <summary><i><b><code>Iterate an array</code></b></i></summary>
 
-    The Approach is simply that we iterate an array using one pointer. Per itatation we do something with the element of the array knowing its value and its index and so on
+    The Approach is that we iterate an array using one pointer. Per itatation we do something with the element of the array knowing its value and its index and so on
 
     __Note:__ "pointer" is when we save number to a variable like `i` and use `i` as an index of the array to get values of the array and increment or decrement `i` per iteration, the `i` variable is thus called a _pointer_
 
@@ -39,7 +39,7 @@ Explanation: Your function can return either index number 1 where the peak eleme
 
     __Note:__ just to be clear, when we say "iterate an array" it means go over all the elements of the array (for example in the for-loop)
 
-    In order to solve this particular task we need to compare the element the pointer is at to its neighbors
+    In order to solve this Task we need to compare the element the pointer is at to its neighbors. If the element is greater than both its neighbors then we have found a peak element of the array
 
   </details>
 
diff --git a/task-archieve/reverse-array/task.md b/task-archieve/reverse-array/task.md
index fb2ad4a..0b1d2fe 100644
--- a/task-archieve/reverse-array/task.md
+++ b/task-archieve/reverse-array/task.md
@@ -25,9 +25,9 @@ Output: ['c','b','a']
 
   <summary><i><b><code>Iterate an array in reverse</code></b></i></summary>
 
-    <!-- TODO: abstract explanation of the Approach: The Approach is that ... -->
+    The Approach is that we iterate an array _in reverse_ using one pointer. Per itatation we do something with the element of the array knowing its value and its index and so on
 
-    We can iterate the array in reverse, create a new array with all the elements in reverse order and return the new array. Applying this Approach we can create a solution that uses `O(n)` memory where `n` is the size of the array
+    In order to solve this Task we can iterate the array in reverse, create a new array with all the elements in reverse order and return the new array. Applying this Approach we can create a solution that uses `O(n)` memory where `n` is the size of the array
 
   </details>
 
@@ -40,7 +40,7 @@ Output: ['c','b','a']
 
     <!-- TODO: abstract explanation of the Approach: The Approach is that ... -->
 
-    We can separate the array in the middle into two equal parts. Then we swap the elements of the first part with the elements of the other part. For example if we use pointer `i` to iterate the array then we swap element `i` (element from the first part of the array) with element `length - i` (element from the other part of the array). Applying this Approach we can create a solution that uses `O(1)` memory which is good
+    In order to solve this Task we can separate the array in the middle into two equal parts. Then we swap the elements of the first part with the elements of the other part. For example if we use pointer `i` to iterate the array then we swap element `i` (element from the first part of the array) with element `length - i` (element from the other part of the array). Applying this Approach we can create a solution that uses `O(1)` memory which is good
 
   </details>
 
diff --git a/task-archieve/task-type-summary/algorithms.md b/task-archieve/task-type-summary/algorithms.md
index 43b4812..32e9180 100644
--- a/task-archieve/task-type-summary/algorithms.md
+++ b/task-archieve/task-type-summary/algorithms.md
@@ -13,7 +13,7 @@
             for (let j = 0; j < game.length; j++) {
                 logic(game[j][i]);
 
-                if (approach()) {
+                if (approach(game)) {
                     return true;
                 }
             }
@@ -331,7 +331,7 @@
 
 ## __`Tabulation`__
 
-<!-- TODO: here -->
+<!-- TODO: here: Dynamic Programming -->
 
 ---
 
diff --git a/task-archieve/task-type-summary/array.md b/task-archieve/task-type-summary/array.md
index 375e42a..0808993 100644
--- a/task-archieve/task-type-summary/array.md
+++ b/task-archieve/task-type-summary/array.md
@@ -84,70 +84,70 @@
 
 ---
 
-## __`Two Pointers Two Arrays`__
+## __`Two Pointers One Array`__
 
-1. __*`Two pointers of two arrays increase like in Merge Sort`*__
+1. __*`Two pointers go from start and end until some condition`*__
     <details>
 
     <summary>Code</summary>
 
     ```js
-    function approach(array1, array2) {
+    function approach(array) {
         let i = 0;
-        let j = 0;
+        let j = array.length - 1;
+
+        while (i < j) {
+            logic(array[i], array[j]);
 
-        while (i < array1.length && j < array2.length) {
             if (condition()) {
-                logic(array1[i++]);
+                i++;
             } else {
-                logic(array2[j++]);
+                j--;
             }
         }
-
-        while (i < array1.length) {
-            logic(array1[i++]);
-        }
-
-        while (j < array1.length) {
-            logic(array2[j++]);
-        }
     }
     ```
 
-    __Input:__ `[1, 2, 3]`, `['a', 'b', 'c']`
-
-    __Output:__ intermingled values of both arrays
-
     ---
 
     </details>
 
 ---
 
-## __`Two Pointers One Array`__
+## __`Two Pointers Two Arrays`__
 
-1. __*`Two pointers go from start and end until some condition`*__
+1. __*`Two pointers of two arrays increase like in Merge Sort`*__
     <details>
 
     <summary>Code</summary>
 
     ```js
-    function approach(array) {
+    function approach(array1, array2) {
         let i = 0;
-        let j = array.length - 1;
-
-        while (i < j) {
-            logic(array[i], array[j]);
+        let j = 0;
 
+        while (i < array1.length && j < array2.length) {
             if (condition()) {
-                i++;
+                logic(array1[i++]);
             } else {
-                j--;
+                logic(array2[j++]);
             }
         }
+
+        while (i < array1.length) {
+            logic(array1[i++]);
+        }
+
+        while (j < array1.length) {
+            logic(array2[j++]);
+        }
     }
     ```
 
+    __Input:__ `[1, 2, 3]`, `['a', 'b', 'c']`
+
+    __Output:__ intermingled values of both arrays
+
     ---
 
     </details>
@@ -318,6 +318,8 @@
             max = Math.max(newMax, max);
             min = Math.min(newMin, min);
         }
+
+        logic(max, min);
     }
     ```
 
@@ -343,6 +345,8 @@
               counter = logic();
             }
         }
+
+        logic(prev, counter);
     }
     ```
 
@@ -364,7 +368,7 @@
         const hashMap = {};
 
         for (let i = 0; i < array.length; i++) {
-            logic(array[i], hashMap);
+            logic(array[i], i, hashMap);
         }
     }
     ```
@@ -383,7 +387,7 @@
         const hashMap = {};
 
         for (let i = 0; i < array.length; i++) {
-            logic(array[i], hashMap);
+            logic(array[i], i, hashMap);
         }
 
         logic(hashMap, Object.entries(hashMap));
@@ -404,11 +408,11 @@
         const hashMap = {};
 
         for (let i = 0; i < array.length; i++) {
-            logic(array[i], hashMap);
+            logic(array[i], i, hashMap);
         }
 
         for (let i = 0; i < array.length; i++) {
-            logic(array[i], hashMap);
+            logic(array[i], i, hashMap);
         }
     }
     ```
@@ -431,7 +435,7 @@
         const stack = [];
 
         for (let i = 0; i < array.length; i++) {
-            logic(array[i], stack); // stack.push() stack.pop()
+            logic(array[i], i, stack); // stack.push() stack.pop()
         }
     }
     ```
@@ -450,7 +454,7 @@
         const queue = [];
 
         for (let i = 0; i < array.length; i++) {
-            logic(array[i], queue); // queue.push() queue.shift()
+            logic(array[i], i, queue); // queue.push() queue.shift()
         }
     }
     ```
@@ -531,12 +535,12 @@
     ```js
     function approach(array) {
         let i;
-        let n = logic(); // index of array
+        let partsSeparator = logic(); // index of array
 
         let counter1 = 0;
         let counter2 = 0;
 
-        for (i = 0; i < n; i++) {
+        for (i = 0; i < partsSeparator; i++) {
             const value = array[i];
 
             counter1 += value; // math
@@ -544,7 +548,7 @@
             counter1 ^= value; // bitwise
         }
 
-        for (i = n; i < array.length; i++) {
+        for (i = partsSeparator; i < array.length; i++) {
             const value = array[i];
 
             counter2 += value; // math
@@ -573,7 +577,7 @@
         ```js
         function approach(array) {
             for (let i = 0; i < array.length; i++) {
-                logic(array, i, swap);
+                logic(array[i], i, array, swap);
             }
         }
 
@@ -596,7 +600,7 @@
             let i = 0; // or 1
             let j = 0;
 
-            for (i = 0; i < array.length; i++) {
+            for (i = i; i < array.length; i++) {
                 if (condition()) {
                     swap(array, i, j);
                     j++;
@@ -662,7 +666,7 @@
                     mid++;
                 } else if (array[mid] === MIDDLE) {
                     mid++;
-                } else { // array[mid] === LARGER
+                } else { // if (array[mid] === LARGER)
                     swap(array, mid, e);
                     e--;
                 }
@@ -689,7 +693,7 @@
             let i = 0; // or 1
             let j = 0;
 
-            for (i = 0; i < array.length; i++) {
+            for (i = i; i < array.length; i++) {
                 if (condition()) {
                     array[j++] = logic(array[i]);
                 }
diff --git a/task-archieve/template/task-type-2-approach.md b/task-archieve/template/task-type-2-approach.md
index db1b4b5..4e97f49 100644
--- a/task-archieve/template/task-type-2-approach.md
+++ b/task-archieve/template/task-type-2-approach.md
@@ -21,7 +21,7 @@ TODO: optional: hint description
 
     TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
 
-    TODO: expnanation of the logic of the solution and how the Approach is applied
+    TODO: expnanation of the logic of the solution and how the Approach is applied TODO: In order to solve this Task we ...
 
     TODO: optional: example of the logic of the solution
 
@@ -36,7 +36,7 @@ TODO: optional: hint description
 
     TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
 
-    TODO: expnanation of the logic of the solution and how the Approach is applied
+    TODO: expnanation of the logic of the solution and how the Approach is applied TODO: In order to solve this Task we ...
 
     TODO: optional: example of the logic of the solution
 
diff --git a/task-archieve/template/task-type-approach-2.md b/task-archieve/template/task-type-approach-2.md
index b2995b4..0b018d4 100644
--- a/task-archieve/template/task-type-approach-2.md
+++ b/task-archieve/template/task-type-approach-2.md
@@ -21,7 +21,7 @@ TODO: optional: hint description
 
     TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
 
-    TODO: expnanation of the logic of the solution and how the Approach is applied
+    TODO: expnanation of the logic of the solution and how the Approach is applied TODO: In order to solve this Task we ...
 
     TODO: optional: example of the logic of the solution
 
@@ -35,7 +35,7 @@ TODO: optional: hint description
 
     TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
 
-    TODO: expnanation of the logic of the solution and how the Approach is applied
+    TODO: expnanation of the logic of the solution and how the Approach is applied TODO: In order to solve this Task we ...
 
     TODO: optional: example of the logic of the solution
 
diff --git a/task-archieve/template/task-type-approach.md b/task-archieve/template/task-type-approach.md
index 4333e6e..b9056f5 100644
--- a/task-archieve/template/task-type-approach.md
+++ b/task-archieve/template/task-type-approach.md
@@ -21,7 +21,7 @@ TODO: optional: hint description
 
     TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
 
-    TODO: expnanation of the logic of the solution and how the Approach is applied
+    TODO: expnanation of the logic of the solution and how the Approach is applied TODO: In order to solve this Task we ...
 
     TODO: optional: example of the logic of the solution
 

From f4e8ef2a030974212163c69db1b6192bc7a9f491 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 14 May 2024 22:17:08 +0300
Subject: [PATCH 087/110] the first counter task

---
 task-archieve/README.md                       |  5 +-
 .../distance-between-bus-stops/task.md        |  2 +-
 task-archieve/task-type.md                    |  3 +-
 .../the-last-sequence-of-ones/solution-2.js   | 17 ++++
 .../the-last-sequence-of-ones/solution.js     | 15 ++++
 .../the-last-sequence-of-ones/task.md         | 85 +++++++++++++++++++
 .../solution.js                               |  0
 .../task.md                                   |  8 +-
 8 files changed, 125 insertions(+), 10 deletions(-)
 create mode 100644 task-archieve/the-last-sequence-of-ones/solution-2.js
 create mode 100644 task-archieve/the-last-sequence-of-ones/solution.js
 create mode 100644 task-archieve/the-last-sequence-of-ones/task.md
 rename task-archieve/{longest-sequence-of-ones => the-longest-sequence-of-ones}/solution.js (100%)
 rename task-archieve/{longest-sequence-of-ones => the-longest-sequence-of-ones}/task.md (57%)

diff --git a/task-archieve/README.md b/task-archieve/README.md
index b2aa57c..199ccd9 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -11,15 +11,16 @@ _List of tasks_
 - [Find Peak Element](./find-peak-element/task.md)
 - [Reverse an Array](./reverse-array/task.md)
 - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
-<!-- TODO: Use values as indexes (tweak it a bit to avoid counter: find a Love Triangle) -->
+- [The last sequence of ones](./the-last-sequence-of-ones/task.md)
 <!-- TODO: counter Task Type Easy Tasks here NOTE: see the medium tasks for details -->
+<!-- TODO: Use values as indexes (tweak it a bit to avoid counter: find a Love Triangle) -->
 <!-- TODO: continue refactoring: -->
 
 - [Container With Most Water](./most-water/task.md)
 - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
 - [Zigzag Conversion](./zigzag-conversion/task.md)
 - [Longest sequence of letters](./longest-letter-subsequence/task.md)
-- [Longest sequence of ones](./longest-sequence-of-ones/task.md)
+- [The longest sequence of ones](./the-longest-sequence-of-ones/task.md)
 - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
 - [Flatten non-recursive](./flatten-nonrecursive/task.md)
 - [Intersection of intervals](./intersection-intervals/task.md)
diff --git a/task-archieve/distance-between-bus-stops/task.md b/task-archieve/distance-between-bus-stops/task.md
index 60a35e1..b23afb5 100644
--- a/task-archieve/distance-between-bus-stops/task.md
+++ b/task-archieve/distance-between-bus-stops/task.md
@@ -47,7 +47,7 @@ Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
 
     In order to solve this Task we first iterate the array and count the sum and then iterate the array in reverse (meaning counterclockwise) and count the sum. Make sure to overlap to the beginning or end of the array when necessary. Then return the lesser sum
 
-    Thus we utilize the two Approaches _`Iterate an array`_ and _`Iterate an array in reverse`_ in order to solve the Task ([solution 1](./solution.js))
+    Thus we combine the two Approaches _`Iterate an array`_ and _`Iterate an array in reverse`_ in order to solve this Task ([solution 1](./solution.js))
 
   </details>
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 46c97cb..c7f12e4 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -26,7 +26,8 @@ _Tasks grouped by_ `Task Type`
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 
 ### Array and Counter
-  - [Longest sequence of ones](./longest-sequence-of-ones/task.md)
+  - [The last sequence of ones](./the-last-sequence-of-ones/task.md)
+  - [The longest sequence of ones](./the-longest-sequence-of-ones/task.md)
 
 ### Array and HashMap
   - [Contiguous Array](./contiguous-array/task.md)
diff --git a/task-archieve/the-last-sequence-of-ones/solution-2.js b/task-archieve/the-last-sequence-of-ones/solution-2.js
new file mode 100644
index 0000000..2e13af8
--- /dev/null
+++ b/task-archieve/the-last-sequence-of-ones/solution-2.js
@@ -0,0 +1,17 @@
+function lastSequenceOfOnes(array) {
+    let counter = 0;
+
+    for (let i = array.length - 1; i >= 0; i--) {
+        const value = array[i];
+
+        if (value === 1) {
+            counter++;
+        }
+
+        if (value === 0) {
+            break;
+        }
+    }
+
+    return counter;
+}
diff --git a/task-archieve/the-last-sequence-of-ones/solution.js b/task-archieve/the-last-sequence-of-ones/solution.js
new file mode 100644
index 0000000..ca57ff8
--- /dev/null
+++ b/task-archieve/the-last-sequence-of-ones/solution.js
@@ -0,0 +1,15 @@
+function lastSequenceOfOnes(array) {
+    let counter = 0;
+
+    for (const value of array) {
+        if (value === 1) {
+            counter++;
+        }
+
+        if (value === 0) {
+            counter = 0;
+        }
+    }
+
+    return counter;
+}
diff --git a/task-archieve/the-last-sequence-of-ones/task.md b/task-archieve/the-last-sequence-of-ones/task.md
new file mode 100644
index 0000000..c321c17
--- /dev/null
+++ b/task-archieve/the-last-sequence-of-ones/task.md
@@ -0,0 +1,85 @@
+# The last sequence of ones
+
+You are given a binary array `nums`. Binary array means that the array consists only of `1`s and `0`s. You need to return the length of the last sequence of `1`s after the last `0` in the array
+
+__Example 1:__
+
+```
+Input: nums = [1, 0, 1, 1, 1]
+                     ^  ^  ^
+Output: 3
+Explanation: the last 0 is at index 1 followed by 3 more 1s thus the length of the last sequence of 1s after the last 0 is 3
+```
+
+__Example 2:__
+
+```
+Input: nums = [0, 1, 1, 1, 0, 1, 1]
+                              ^  ^
+Output: 2
+Explanation: we have a sequence of 1s whose length is 3 after the first 0 and another sequence of 1s whose length is 2 after the second 0 thus the length of the last sequence of 1s after the last 0 is 2
+```
+
+__Example 3:__
+
+```
+Input: nums = [1, 1, 1]
+               ^  ^  ^
+Output: 3
+Explanation: we don't have 0s at all thus the length of the last sequence of 1s after the last 0 is 3 (the length of the entire array). For our purpose we are required to assume that if the array doesn't have 0s at all then the last 0 is at index -1
+```
+
+__Example 4:__
+
+```
+Input: nums = [0, 1, 1, 1, 0]
+Output: 0
+Explanation: 0 is the last element of the array thus the last sequence of 1s after the last 0 doesn't exist and its length is therefore 0
+```
+
+__Example 5:__
+
+```
+Input: nums = []
+Output: 0
+Explanation: the array is empty thus the last sequence of 1s after the last 0 doesn't exist and its length is therefore 0
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+- __`Array and Counter`__
+  <details>
+
+  <summary><i><b><code>Iterate an array keeping one or more counters</code></b></i></summary>
+
+    The Approach is that we iterate an array and keep one or more counters. Read on to learn more
+
+    __Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration
+
+    __Note:__ and if we say "reset a counter" it means assign to a counter the value that it had before we started iterating the array
+
+    __Note:__ when we say "keep a counter" while iterating an array it means you iterate an array and on some or all iterations you update or reset the counter. Sometimes you merely increment or decrement the counter and sometimes (if the logic of the task is complex) you may assign some cleverly calculated value to the counter per iteration (the current value of the counter itself may be used to calculate its new value of course) and other times you may want to reset the counter back to its initital value it had before we started iterating the array
+
+    In order to solve this Task we need to create a counter then initialize it to `0` and then iterate the array applying the following logic: if we encounter a `1` in the array then we increment the counter and if we encounter a `0` in the array then we reset the counter back to its initial value of `0`. Thus at the end of the iteration of the entire array the counter will hold the length of the last sequence of `1`s after the last `0`
+
+  </details>
+
+---
+
+- __`Array and Counter`__ + __`One Pointer One Array`__
+  <details>
+
+  <summary><i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array in reverse</code></b></i></summary>
+
+    Another way we can solve this Task is if we apply the _`Iterate an array in reverse`_ Approach in addition to the _`Iterate an array incrementing and decrementing one or more counters`_ Approach. If we iterate the array in reverse then we can solve the Task via the simplest manipulations to the counter, that is by merely incrementing and decrementing the counter but never having to reset the counter or anything. All we need to do is iterate the array in reverse incrementing the counter if we come across a `1` in the array and stop iterating the array either if we come across a `0` in the array or if we reach the end of the array ([solution 2](./solution-2.js))
+
+  </details>
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
+| :---: | :---: | :---: |
diff --git a/task-archieve/longest-sequence-of-ones/solution.js b/task-archieve/the-longest-sequence-of-ones/solution.js
similarity index 100%
rename from task-archieve/longest-sequence-of-ones/solution.js
rename to task-archieve/the-longest-sequence-of-ones/solution.js
diff --git a/task-archieve/longest-sequence-of-ones/task.md b/task-archieve/the-longest-sequence-of-ones/task.md
similarity index 57%
rename from task-archieve/longest-sequence-of-ones/task.md
rename to task-archieve/the-longest-sequence-of-ones/task.md
index 9f56162..3c11c09 100644
--- a/task-archieve/longest-sequence-of-ones/task.md
+++ b/task-archieve/the-longest-sequence-of-ones/task.md
@@ -1,4 +1,4 @@
-# Longest sequence of ones
+# The longest sequence of ones
 
 Your task is to implement algorithm that finds the longest sequence of 1's in array consisting of 1's and 0's. For this task you also have to exclude at least 1 element out of the array, for example:
 
@@ -18,11 +18,7 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
   <summary><i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array keeping one or more max or min counters</code></b></i> + <i><b><code>Iterate an array keeping one or more previous counters</code></b></i></summary>
 
-    <!-- TODO:  Easy Task for Iterate an array incrementing and decrementing one or more counters: you use one pointer to iterate the array as well as one or more counters that we may or may not reset sometimes TODO: maybe like count number of 1's in an array or like the last sequence of 1's after 0 -->
-
-    __Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration (and if we say "reset the counter" it means assign to the counter the value that it had before we started iterating the array)
-
-    __Note:__ when we say "keep a counter" while iterating an array it means you iterate an array and on some or all iterations you update or reset the counter. Sometimes you merely increment or decrement the counter and sometimes (if the logic of the task is complex) you may assign some cleverly calculated value to it per iteration (the current value of the counter itself may be used to calculate its new value of course)
+    <!-- TODO: we need to combine no less than 3 Approaches of the Task Type to create a solution -->
 
     <!-- TODO: Easy Task for Iterate an array keeping one or more max or min counters TODO: probably google on leetcode biggest integer in array -->
 

From fea1fb395f574a56bd38ef1c620c097092ec9cec Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 16 May 2024 15:48:18 +0300
Subject: [PATCH 088/110] create max counter easy task

---
 task-archieve/README.md                       |  3 +-
 .../greatest-integer-in-array/solution.js     |  9 ++++
 .../greatest-integer-in-array/task.md         | 50 +++++++++++++++++++
 task-archieve/task-type.md                    |  1 +
 .../the-longest-sequence-of-ones/task.md      |  6 +--
 5 files changed, 64 insertions(+), 5 deletions(-)
 create mode 100644 task-archieve/greatest-integer-in-array/solution.js
 create mode 100644 task-archieve/greatest-integer-in-array/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 199ccd9..e94d057 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -12,7 +12,8 @@ _List of tasks_
 - [Reverse an Array](./reverse-array/task.md)
 - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
 - [The last sequence of ones](./the-last-sequence-of-ones/task.md)
-<!-- TODO: counter Task Type Easy Tasks here NOTE: see the medium tasks for details -->
+- [Greatest integer in array](./greatest-integer-in-array/task.md)
+<!-- TODO: counter Task Type Easy Task here NOTE: see the medium tasks for details -->
 <!-- TODO: Use values as indexes (tweak it a bit to avoid counter: find a Love Triangle) -->
 <!-- TODO: continue refactoring: -->
 
diff --git a/task-archieve/greatest-integer-in-array/solution.js b/task-archieve/greatest-integer-in-array/solution.js
new file mode 100644
index 0000000..d4d5fc2
--- /dev/null
+++ b/task-archieve/greatest-integer-in-array/solution.js
@@ -0,0 +1,9 @@
+function findGreatestInteger(array) {
+    let maxCounter = -1;
+
+    for (const value of array) {
+        maxCounter = Math.max(value, maxCounter);
+    }
+
+    return maxCounter;
+}
diff --git a/task-archieve/greatest-integer-in-array/task.md b/task-archieve/greatest-integer-in-array/task.md
new file mode 100644
index 0000000..e87f5b9
--- /dev/null
+++ b/task-archieve/greatest-integer-in-array/task.md
@@ -0,0 +1,50 @@
+# Greatest integer in array
+
+Given an array of positive integers return the _greatest integer in the array_. If an array is empty return `-1`
+
+__Example 1:__
+
+```
+Input: [1,2,1]
+Output: 2
+```
+
+__Example 2:__
+
+```
+Input: [2,3,2,1,4,7,3,2,2,1]
+Output: 7
+```
+
+__Example 3:__
+
+```
+Input: []
+Output: -1
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+- __`Array and Counter`__
+  <details>
+
+  <summary><i><b><code>Iterate an array keeping one or more max or min counters</code></b></i></summary>
+
+    The Approach is that we create a counter and then iterate the array. If we come across an element in the array whose value is greater than the current value of the counter then we set the value of this element to the counter and keep on iterating. This way at the end of the iteration of the entire array our counter is going to hold the value of the greatest element of the array. We can also use this Approach to find the smallest element of the array: iterate the array updating the counter if we come across a value in the array that is smaller than the current value of the counter
+
+    __Note:__ only make sure to _initialize_ the counter to a value that is definitely going to be smaller (to find max value of the array) or greater (to find min value of the array) than the first element of the array (for example `-Infinity` or `Infinity`) or simply initialize the counter to the first value of the array and start iterating the array from the second element
+
+    __Note:__ a counter that keeps track of the greatest value in the array we call "max counter" and a counter that keeps track of the smallest value in the array we call "min counter"
+
+    In order to solve this Task we merely need to create and keep track of a max counter iterating the array and return the max counter. Initialize the max counter to `-1`
+
+  </details>
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index c7f12e4..dcdbd7a 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -27,6 +27,7 @@ _Tasks grouped by_ `Task Type`
 
 ### Array and Counter
   - [The last sequence of ones](./the-last-sequence-of-ones/task.md)
+  - [Greatest integer in array](./greatest-integer-in-array/task.md)
   - [The longest sequence of ones](./the-longest-sequence-of-ones/task.md)
 
 ### Array and HashMap
diff --git a/task-archieve/the-longest-sequence-of-ones/task.md b/task-archieve/the-longest-sequence-of-ones/task.md
index 3c11c09..6622409 100644
--- a/task-archieve/the-longest-sequence-of-ones/task.md
+++ b/task-archieve/the-longest-sequence-of-ones/task.md
@@ -18,12 +18,10 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
   <summary><i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array keeping one or more max or min counters</code></b></i> + <i><b><code>Iterate an array keeping one or more previous counters</code></b></i></summary>
 
-    <!-- TODO: we need to combine no less than 3 Approaches of the Task Type to create a solution -->
-
-    <!-- TODO: Easy Task for Iterate an array keeping one or more max or min counters TODO: probably google on leetcode biggest integer in array -->
-
     <!-- TODO: Easy Task for Iterate an array keeping one or more previous counters TODO: ["3 Greatest Integers in an Array"](../../2\)%20Task%20Challanges.md#30-3-greatest-integers-in-an-array -->
 
+    <!-- TODO: we need to combine no less than 3 Approaches of the Task Type to create a solution -->
+
     <!-- TODO: expnanation of the logic of the solution: we combine three Approaches and here comes the explanation -->
 
   </details>

From e652d77c46de0ff2f2ec628abdf9146caa9ad38d Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 17 May 2024 21:27:20 +0300
Subject: [PATCH 089/110] easy task for prev counters

---
 task-archieve/README.md                       |  9 +--
 .../greatest-integer-in-array/task.md         |  2 +-
 task-archieve/task-type.md                    |  7 ++-
 .../the-last-sequence-of-ones/task.md         |  2 +-
 .../the-longest-sequence-of-ones/task.md      |  4 +-
 .../solution.js                               | 20 +++++++
 .../three-greatest-integers-in-array/task.md  | 55 +++++++++++++++++++
 7 files changed, 87 insertions(+), 12 deletions(-)
 create mode 100644 task-archieve/three-greatest-integers-in-array/solution.js
 create mode 100644 task-archieve/three-greatest-integers-in-array/task.md

diff --git a/task-archieve/README.md b/task-archieve/README.md
index e94d057..0e6f71b 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -11,9 +11,10 @@ _List of tasks_
 - [Find Peak Element](./find-peak-element/task.md)
 - [Reverse an Array](./reverse-array/task.md)
 - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
-- [The last sequence of ones](./the-last-sequence-of-ones/task.md)
-- [Greatest integer in array](./greatest-integer-in-array/task.md)
-<!-- TODO: counter Task Type Easy Task here NOTE: see the medium tasks for details -->
+- [The Last Sequence of Ones](./the-last-sequence-of-ones/task.md)
+- [Greatest Integer in Array](./greatest-integer-in-array/task.md)
+- [3 Greatest Integers in Array](./three-greatest-integers-in-array/task.md)
+<!-- TODO: maybe "The Longest Sequence of Ones" goes here? -->
 <!-- TODO: Use values as indexes (tweak it a bit to avoid counter: find a Love Triangle) -->
 <!-- TODO: continue refactoring: -->
 
@@ -21,7 +22,7 @@ _List of tasks_
 - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
 - [Zigzag Conversion](./zigzag-conversion/task.md)
 - [Longest sequence of letters](./longest-letter-subsequence/task.md)
-- [The longest sequence of ones](./the-longest-sequence-of-ones/task.md)
+- [The Longest Sequence of Ones](./the-longest-sequence-of-ones/task.md)
 - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
 - [Flatten non-recursive](./flatten-nonrecursive/task.md)
 - [Intersection of intervals](./intersection-intervals/task.md)
diff --git a/task-archieve/greatest-integer-in-array/task.md b/task-archieve/greatest-integer-in-array/task.md
index e87f5b9..fcc6100 100644
--- a/task-archieve/greatest-integer-in-array/task.md
+++ b/task-archieve/greatest-integer-in-array/task.md
@@ -1,4 +1,4 @@
-# Greatest integer in array
+# Greatest Integer in Array
 
 Given an array of positive integers return the _greatest integer in the array_. If an array is empty return `-1`
 
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index dcdbd7a..234dcfd 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -26,9 +26,10 @@ _Tasks grouped by_ `Task Type`
   - [Longest sequence of letters](./longest-letter-subsequence/task.md)
 
 ### Array and Counter
-  - [The last sequence of ones](./the-last-sequence-of-ones/task.md)
-  - [Greatest integer in array](./greatest-integer-in-array/task.md)
-  - [The longest sequence of ones](./the-longest-sequence-of-ones/task.md)
+  - [The Last Sequence of Ones](./the-last-sequence-of-ones/task.md)
+  - [Greatest Integer in Array](./greatest-integer-in-array/task.md)
+  - [3 Greatest Integers in Array](./three-greatest-integers-in-array/task.md)
+  - [The Longest Sequence of Ones](./the-longest-sequence-of-ones/task.md)
 
 ### Array and HashMap
   - [Contiguous Array](./contiguous-array/task.md)
diff --git a/task-archieve/the-last-sequence-of-ones/task.md b/task-archieve/the-last-sequence-of-ones/task.md
index c321c17..ebd7e56 100644
--- a/task-archieve/the-last-sequence-of-ones/task.md
+++ b/task-archieve/the-last-sequence-of-ones/task.md
@@ -1,4 +1,4 @@
-# The last sequence of ones
+# The Last Sequence of Ones
 
 You are given a binary array `nums`. Binary array means that the array consists only of `1`s and `0`s. You need to return the length of the last sequence of `1`s after the last `0` in the array
 
diff --git a/task-archieve/the-longest-sequence-of-ones/task.md b/task-archieve/the-longest-sequence-of-ones/task.md
index 6622409..efb65fb 100644
--- a/task-archieve/the-longest-sequence-of-ones/task.md
+++ b/task-archieve/the-longest-sequence-of-ones/task.md
@@ -1,4 +1,4 @@
-# The longest sequence of ones
+# The Longest Sequence of Ones
 
 Your task is to implement algorithm that finds the longest sequence of 1's in array consisting of 1's and 0's. For this task you also have to exclude at least 1 element out of the array, for example:
 
@@ -18,8 +18,6 @@ countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and
 
   <summary><i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array keeping one or more max or min counters</code></b></i> + <i><b><code>Iterate an array keeping one or more previous counters</code></b></i></summary>
 
-    <!-- TODO: Easy Task for Iterate an array keeping one or more previous counters TODO: ["3 Greatest Integers in an Array"](../../2\)%20Task%20Challanges.md#30-3-greatest-integers-in-an-array -->
-
     <!-- TODO: we need to combine no less than 3 Approaches of the Task Type to create a solution -->
 
     <!-- TODO: expnanation of the logic of the solution: we combine three Approaches and here comes the explanation -->
diff --git a/task-archieve/three-greatest-integers-in-array/solution.js b/task-archieve/three-greatest-integers-in-array/solution.js
new file mode 100644
index 0000000..46adec7
--- /dev/null
+++ b/task-archieve/three-greatest-integers-in-array/solution.js
@@ -0,0 +1,20 @@
+function threeGreatestIntegers(array) {
+    let counterA = -1;
+    let counterB = -1;
+    let counterC = -1;
+
+    for (const value of array) {
+        if (value > counterA) {
+            counterC = counterB;
+            counterB = counterA;
+            counterA = value;
+        } else if (value > counterB && (value !== counterA)) {
+            counterC = counterB;
+            counterB = value;
+        } else if (value > counterC && (value !== counterB && value !== counterA)) {
+            counterC = value;
+        }
+    }
+
+    return [counterA, counterB, counterC];
+}
diff --git a/task-archieve/three-greatest-integers-in-array/task.md b/task-archieve/three-greatest-integers-in-array/task.md
new file mode 100644
index 0000000..5dfdebd
--- /dev/null
+++ b/task-archieve/three-greatest-integers-in-array/task.md
@@ -0,0 +1,55 @@
+# 3 Greatest Integers in Array
+
+Given an array of positive integers return the _3 greatest integers in the array_ in descending order. If an array is empty return `-1`, `-1`, `-1`
+
+__Example 1:__
+
+```
+Input: [5,4,3,6,7,8,9,10,1,2]
+Output: [10,9,8]
+```
+
+__Example 2:__
+
+```
+Input: [1,2,2,1,1,3,1,1,1]
+Output: [3,2,1]
+```
+
+__Example 3:__
+
+```
+Input: [2,3,2,1,4,7,3,2,2,1]
+Output: [7,4,3]
+```
+
+__Example 4:__
+
+```
+Input: []
+Output: [-1,-1,-1]
+```
+
+<details>
+
+<summary>Task Type</summary>
+
+- __`Array and Counter`__
+  <details>
+
+  <summary><i><b><code>Iterate an array keeping one or more previous counters</code></b></i></summary>
+
+    The Approach is that we create and keep several counters and whilst iterating the array each time we update the value of one counter we save the previous value of this counter to one of the other counters. For example imagine we have two counters: counter A equal to `2` and counter B equal to `1`. If we update the value of counter A to `3` then we save the previous value `2` of counter A to counter B. Thus counter A becomes `3` and counter `B` becomes `2` (`2` is the previous value of counter A). If we update counter A again we do the same thing. And the same if we had 3 counters: counter A, counter B and counter C. Updating counter A we would set counter C to the value of counter B and counter B would be set to the value of counter A and only after that would counter A be updated. This way we have several counters that hold as if the _history_ of all the values that some counter had while we were iterating the array
+
+    __Note:__ the number of counters you can use this way is obviously not limited to just 2 or 3. You may keep as many counters as you need: the first counter is going to be some value (computed according to some logic) and the other counters are going to be the previous values that the first counter ever had during the entire iteration of the array
+
+    In order to solve this Task we need to create 3 counters (counter A, counter B and counter C) and initialize them to `-1`. Each time we find a value that is greater than the value of counter A we do the following: set counter C to the value of counter B then set counter B to the value of counter A and finally update counter A. The tricky part is the logic of the solution: we also need to update counter B and counter C if the value in the array we are looking at during iteration is greater than counter B but smaller than counter A (counter C is set to the value of counter B and counter B is updated) and the same for counter C: update counter C if the value we are looking at is greater than counter C but smaller than counter A and counter B. Also avoid the situation where the three counters might become equal to one another. This way we get the 3 greatest integers in the array
+
+  </details>
+
+</details>
+
+---
+
+| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
+| :---: | :---: |

From dc6769193a814060556e838003297ff215e12256 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Sat, 18 May 2024 19:20:53 +0300
Subject: [PATCH 090/110] add some todo

---
 task-archieve/README.md                               | 1 +
 task-archieve/best-time-to-buy-and-sell-stock/task.md | 1 +
 task-archieve/flatten-nonrecursive/task.md            | 2 ++
 3 files changed, 4 insertions(+)

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 0e6f71b..415c8dd 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -14,6 +14,7 @@ _List of tasks_
 - [The Last Sequence of Ones](./the-last-sequence-of-ones/task.md)
 - [Greatest Integer in Array](./greatest-integer-in-array/task.md)
 - [3 Greatest Integers in Array](./three-greatest-integers-in-array/task.md)
+<!-- TODO: maybe a second approach for the Easy Task of find three greatest integers can be sort array and do something with it -->
 <!-- TODO: maybe "The Longest Sequence of Ones" goes here? -->
 <!-- TODO: Use values as indexes (tweak it a bit to avoid counter: find a Love Triangle) -->
 <!-- TODO: continue refactoring: -->
diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
index 25b6cf2..5d031f8 100644
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ b/task-archieve/best-time-to-buy-and-sell-stock/task.md
@@ -34,6 +34,7 @@ Explanation: In this case, no transactions are done and the max profit = 0
 
     <!-- TODO: Easy Task for Sliding Window fixed size -->
     <!-- TODO: The example in the article (sliding window) is your Easy Task for this Approach -->
+    <!-- TODO: maybe Easy Task for Sliding Window. Dynamic size -->
     <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
 
     This is a task for two pointers. Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have the left pointer behind the right pointer and per iteration we either increment the left pointer or the right pointer or per iteration we increment both the left and the right pointers is called "_Sliding Window_"
diff --git a/task-archieve/flatten-nonrecursive/task.md b/task-archieve/flatten-nonrecursive/task.md
index 1fec43f..1f96c7b 100644
--- a/task-archieve/flatten-nonrecursive/task.md
+++ b/task-archieve/flatten-nonrecursive/task.md
@@ -21,6 +21,8 @@ Also you cannot use recursion because an array can be very big and nested very d
 
   <summary><i><b><code>Do while loop while Stack is not empty popping and pushing along the way</code></b></i></summary>
 
+    <!-- TODO: this becomes an easy Task for Array and Stack and while loop once you allow to use the .unshift() method -->
+
     <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
     <!-- TODO: maybe move abstract explanation of the Approach to an Easy Task -->
 

From 8be2e5e0fccc9287066601020935ce1b1c5e5a16 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 30 May 2024 01:42:07 +0300
Subject: [PATCH 091/110] clarify the counter

---
 task-archieve/the-last-sequence-of-ones/task.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/task-archieve/the-last-sequence-of-ones/task.md b/task-archieve/the-last-sequence-of-ones/task.md
index ebd7e56..539b1fd 100644
--- a/task-archieve/the-last-sequence-of-ones/task.md
+++ b/task-archieve/the-last-sequence-of-ones/task.md
@@ -54,9 +54,9 @@ Explanation: the array is empty thus the last sequence of 1s after the last 0 do
 
   <summary><i><b><code>Iterate an array keeping one or more counters</code></b></i></summary>
 
-    The Approach is that we iterate an array and keep one or more counters. Read on to learn more
+    The Approach is that we iterate an array and keep one or more counters
 
-    __Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration
+    __Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration. A _counter_ variable is created before we start iterating the array (before the for-loop) and is thus accessible during the entire iteration of the array as well as after the entire iteration of the array (after the for-loop)
 
     __Note:__ and if we say "reset a counter" it means assign to a counter the value that it had before we started iterating the array
 

From 0b244ce05cd2273c6fc72faccf38b07bfde6a576 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 30 May 2024 01:43:52 +0300
Subject: [PATCH 092/110] clarify the counter again

---
 task-archieve/the-last-sequence-of-ones/task.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/the-last-sequence-of-ones/task.md b/task-archieve/the-last-sequence-of-ones/task.md
index 539b1fd..ab840bb 100644
--- a/task-archieve/the-last-sequence-of-ones/task.md
+++ b/task-archieve/the-last-sequence-of-ones/task.md
@@ -73,7 +73,7 @@ Explanation: the array is empty thus the last sequence of 1s after the last 0 do
 
   <summary><i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array in reverse</code></b></i></summary>
 
-    Another way we can solve this Task is if we apply the _`Iterate an array in reverse`_ Approach in addition to the _`Iterate an array incrementing and decrementing one or more counters`_ Approach. If we iterate the array in reverse then we can solve the Task via the simplest manipulations to the counter, that is by merely incrementing and decrementing the counter but never having to reset the counter or anything. All we need to do is iterate the array in reverse incrementing the counter if we come across a `1` in the array and stop iterating the array either if we come across a `0` in the array or if we reach the end of the array ([solution 2](./solution-2.js))
+    Another way we can solve this Task is if we apply the _`Iterate an array in reverse`_ Approach in addition to the _`Iterate an array incrementing and decrementing one or more counters`_ Approach. If we iterate the array in reverse then we can solve the Task via the simplest manipulations to the counter, that is by merely incrementing and decrementing the counter but never having to reset the counter or anything. All we need to do is iterate the array in reverse incrementing the counter if we come across a `1` in the array and stop iterating the array either if we come across a `0` in the array or if we reach the start of the array ([solution 2](./solution-2.js))
 
   </details>
 

From 75dfad6223c91c43f91ba073ea2a03051e89d8b1 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 19 Jul 2024 16:46:58 +0300
Subject: [PATCH 093/110] new tasks and ideas

---
 task-archieve/README.md                   | 3 ++-
 task-archieve/task-type-summary/README.md | 2 +-
 task-archieve/task-type.md                | 2 ++
 3 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/task-archieve/README.md b/task-archieve/README.md
index 415c8dd..de33583 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -6,7 +6,7 @@ _List of tasks_
 
 [:bulb: __Extra Documentation__](./extra-documentation.md)
 
-[:ledger: _Task Template_](./template/README.md)
+[:bulb: __Task Type Summary__](./task-type-summary/README.md)
 
 - [Find Peak Element](./find-peak-element/task.md)
 - [Reverse an Array](./reverse-array/task.md)
@@ -17,6 +17,7 @@ _List of tasks_
 <!-- TODO: maybe a second approach for the Easy Task of find three greatest integers can be sort array and do something with it -->
 <!-- TODO: maybe "The Longest Sequence of Ones" goes here? -->
 <!-- TODO: Use values as indexes (tweak it a bit to avoid counter: find a Love Triangle) -->
+<!-- TODO: new Approach: two pointers go in opposing directions from each other: 1) https://femida.yandex-team.ru/problems/8125/ 2) https://leetcode.com/problems/find-k-closest-elements/description/ -->
 <!-- TODO: continue refactoring: -->
 
 - [Container With Most Water](./most-water/task.md)
diff --git a/task-archieve/task-type-summary/README.md b/task-archieve/task-type-summary/README.md
index 359eb39..2b721ce 100644
--- a/task-archieve/task-type-summary/README.md
+++ b/task-archieve/task-type-summary/README.md
@@ -14,5 +14,5 @@
 
 ---
 
-| [:arrow_left: back](../task-type.md) |
+| [:arrow_left: back](../README.md) |
 | :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
index 234dcfd..2ee3a5d 100644
--- a/task-archieve/task-type.md
+++ b/task-archieve/task-type.md
@@ -4,6 +4,8 @@ _Tasks grouped by_ `Task Type`
 
 ---
 
+[:bulb: __Extra Documentation__](./extra-documentation.md)
+
 [:bulb: __Task Type Summary__](./task-type-summary/README.md)
 
 ### One Pointer One Array

From be7cab70095c708abbe3cc4413371677874a98f0 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 19 Jul 2024 16:48:42 +0300
Subject: [PATCH 094/110] fix the todo

---
 task-archieve/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/task-archieve/README.md b/task-archieve/README.md
index de33583..8c657d9 100644
--- a/task-archieve/README.md
+++ b/task-archieve/README.md
@@ -17,7 +17,7 @@ _List of tasks_
 <!-- TODO: maybe a second approach for the Easy Task of find three greatest integers can be sort array and do something with it -->
 <!-- TODO: maybe "The Longest Sequence of Ones" goes here? -->
 <!-- TODO: Use values as indexes (tweak it a bit to avoid counter: find a Love Triangle) -->
-<!-- TODO: new Approach: two pointers go in opposing directions from each other: 1) https://femida.yandex-team.ru/problems/8125/ 2) https://leetcode.com/problems/find-k-closest-elements/description/ -->
+<!-- TODO: new Approach: two pointers go in opposing directions from each other NOTE: before the go towards each other approach: 1) https://femida.yandex-team.ru/problems/8125/ 2) https://leetcode.com/problems/find-k-closest-elements/description/ -->
 <!-- TODO: continue refactoring: -->
 
 - [Container With Most Water](./most-water/task.md)

From 86918b3c784d760186f32e810be3ed84ed6c576a Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 31 Jul 2024 16:46:58 +0300
Subject: [PATCH 095/110] idea v3 final

---
 task-archieve/Kata.txt | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/task-archieve/Kata.txt b/task-archieve/Kata.txt
index 1805090..2969400 100644
--- a/task-archieve/Kata.txt
+++ b/task-archieve/Kata.txt
@@ -1,4 +1,14 @@
 
+TODO: great idea final v3:
+  - rename Approach to Algorithm because this project is now called Algorithms or something =)
+  - create a folder named algorithms and store there as *.md files all abstract explanations of the algorithms and all tasks to refer to these via links
+  - change the structure of every task, every task now is to be composed of:
+    1) description
+    2) link to algorithm explanation (for every algorithm applicable)
+    3) solution explanation (for every algorithm applicable)
+    4) links to code solution or solution if more than one (for every algorithm applicable)
+    5) back button
+
 Go over all the Tasks and fill the TODO
   - first create the Easy Tasks for all the Approaches
   - then refactor the medium Tasks

From 5d7b2a8d8bf63e3826b3aa8beed48bbdb06dc418 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 15 Aug 2024 02:02:36 +0300
Subject: [PATCH 096/110] commit ideas

---
 task-archieve/Kata.txt | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/task-archieve/Kata.txt b/task-archieve/Kata.txt
index 2969400..826c79c 100644
--- a/task-archieve/Kata.txt
+++ b/task-archieve/Kata.txt
@@ -1,4 +1,7 @@
 
+IDEA: like a glossary with examples idea
+IDEA: maybe algorithm explanation should also have examples
+
 TODO: great idea final v3:
   - rename Approach to Algorithm because this project is now called Algorithms or something =)
   - create a folder named algorithms and store there as *.md files all abstract explanations of the algorithms and all tasks to refer to these via links

From df86a581afa992b349ae8e95c28de2e1ebce243c Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 23 Sep 2024 00:39:28 +0300
Subject: [PATCH 097/110] new ideas

---
 task-archieve/Kata.txt | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/task-archieve/Kata.txt b/task-archieve/Kata.txt
index 826c79c..c15bf8b 100644
--- a/task-archieve/Kata.txt
+++ b/task-archieve/Kata.txt
@@ -1,10 +1,12 @@
 
 IDEA: like a glossary with examples idea
+IDEA: perhaps remove the "template" folder (and the links)
 IDEA: maybe algorithm explanation should also have examples
 
 TODO: great idea final v3:
   - rename Approach to Algorithm because this project is now called Algorithms or something =)
   - create a folder named algorithms and store there as *.md files all abstract explanations of the algorithms and all tasks to refer to these via links
+    NOTE: we explain the algorithm then show it in action by solving the template task right in the explanation and in the solution of the template task itself we merely repeat the explanation except more succintly
   - change the structure of every task, every task now is to be composed of:
     1) description
     2) link to algorithm explanation (for every algorithm applicable)

From 4dfd93f4e4ff30c6128d660de813c97cc089d588 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Mon, 23 Sep 2024 19:35:01 +0300
Subject: [PATCH 098/110] imagining-layout

---
 task-archieve/Kata.txt                        |  3 ++
 .../imagining-layout.md/file-structure.txt    | 25 +++++++++++++
 .../imagining-layout.md/solutions.md          | 26 ++++++++++++++
 task-archieve/imagining-layout.md/summary.md  | 35 +++++++++++++++++++
 task-archieve/imagining-layout.md/task.md     | 31 ++++++++++++++++
 5 files changed, 120 insertions(+)
 create mode 100644 task-archieve/imagining-layout.md/file-structure.txt
 create mode 100644 task-archieve/imagining-layout.md/solutions.md
 create mode 100644 task-archieve/imagining-layout.md/summary.md
 create mode 100644 task-archieve/imagining-layout.md/task.md

diff --git a/task-archieve/Kata.txt b/task-archieve/Kata.txt
index c15bf8b..802ccb5 100644
--- a/task-archieve/Kata.txt
+++ b/task-archieve/Kata.txt
@@ -1,7 +1,10 @@
 
+TODO: see ./imagining-layout
+
 IDEA: like a glossary with examples idea
 IDEA: perhaps remove the "template" folder (and the links)
 IDEA: maybe algorithm explanation should also have examples
+IDEA: let's not group tasks by algorithm type and so on
 
 TODO: great idea final v3:
   - rename Approach to Algorithm because this project is now called Algorithms or something =)
diff --git a/task-archieve/imagining-layout.md/file-structure.txt b/task-archieve/imagining-layout.md/file-structure.txt
new file mode 100644
index 0000000..2bcdf94
--- /dev/null
+++ b/task-archieve/imagining-layout.md/file-structure.txt
@@ -0,0 +1,25 @@
+algorithms/
+  glossary/
+    counter.md
+    pointer.md
+    hash-map.md
+    ...
+  explanations/
+    one-pointer-one-array/
+      iterate-an-array.md
+      ...
+  README.md  # summary contents
+  one-pointer-one-array.md  # summary
+  ...
+tasks/
+  README.md  # tasks in learning order
+  some-task/
+    task.md
+    solutions.md
+    solution-1.js
+    solution-1-v2.js
+    solution-2.js
+    ...
+  ...
+README.md  # layout all the project sections
+documentation.md  # explains this project structure
diff --git a/task-archieve/imagining-layout.md/solutions.md b/task-archieve/imagining-layout.md/solutions.md
new file mode 100644
index 0000000..88d78d5
--- /dev/null
+++ b/task-archieve/imagining-layout.md/solutions.md
@@ -0,0 +1,26 @@
+# Find Peak Element Solutions
+
+## Solution 1
+
+| __Algorithm Types__ | __Algorithms__ | __Algorithm Explanations__ |
+| :- | :- | :- |
+| [`One Pointer One Array`](../../algorithms/one-pointer-one-array.md) | [*`Iterate an array`*](../../algorithms/one-pointer-one-array.md#iterate-an-array) | [Explanation](../../algorithms/explanations/one-pointer-one-array/iterate-an-array.md) |
+| [`Two Pointers Two Arrays`](../../algorithms/two-pointers-two-arrays.md) | [*`Two Pointers Meet Each other`*](../../algorithms/two-pointers-two-arrays.md#two-pointers-meet-each-other) | [Explanation](../../algorithms/explanations/two-pointers-two-arrays/two-pointers-meet-each-other.md) |
+
+> __[Code](./solution-1.js)__
+
+> __[Code (Version 2)](./solution-1-v2.js)__
+
+Solution Explanation written here
+
+---
+
+## Solution 2
+
+| __Algorithm Types__ | __Algorithms__ | __Algorithm Explanations__ |
+| :- | :- | :- |
+| [`One Pointer One Array`](../../algorithms/one-pointer-one-array.md) | [*`Iterate an array`*](../../algorithms/one-pointer-one-array.md#iterate-an-array) | [Explanation](../../algorithms/explanations/one-pointer-one-array/iterate-an-array.md) |
+
+> __[Code](./solution-2.js)__
+
+Solution Explanation written here
diff --git a/task-archieve/imagining-layout.md/summary.md b/task-archieve/imagining-layout.md/summary.md
new file mode 100644
index 0000000..ecddce4
--- /dev/null
+++ b/task-archieve/imagining-layout.md/summary.md
@@ -0,0 +1,35 @@
+# __`One Pointer One Array`__
+
+## __*`Iterate an array`*__
+
+> [Algorithm Explanation](./explanations/one-pointer-one-array/iterate-an-array.md)
+
+```js
+function approach(array) {
+    for (let i = 0; i < array.length; i++) {
+        logic(array[i], i);
+    }
+}
+```
+
+__Input:__ `[1, 2, 3]`
+
+__Output:__ value: `1`, `2`, `3`, index: `0`, `1`, `2`
+
+---
+
+## __*`Iterate an array in reverse`*__
+
+> [Algorithm Explanation](https://google.com)
+
+```js
+function approach(array) {
+    for (let i = array.length - 1; i >= 0; i--) {
+        logic(array[i], i);
+    }
+}
+```
+
+__Input:__ `[1, 2, 3]`
+
+__Output:__ value: `3`, `2`, `1`, index: `2`, `1`, `0`
diff --git a/task-archieve/imagining-layout.md/task.md b/task-archieve/imagining-layout.md/task.md
new file mode 100644
index 0000000..ea3de25
--- /dev/null
+++ b/task-archieve/imagining-layout.md/task.md
@@ -0,0 +1,31 @@
+# Find Peak Element
+
+> [Solutions](./solutions.md)
+
+A peak element is an element that is strictly greater than its neighbors
+
+Given a __0-indexed__ integer array `nums`, find a peak element, and return its index. If the array contains multiple peaks, return the index to __any of the peaks__
+
+You may imagine that `nums[-1] = nums[n] = -∞`. In other words, an element is always considered to be strictly greater than a neighbor that is outside the array
+
+__Example 1:__
+
+```
+Input: nums = [1,2,3,1]
+Output: 2
+Explanation: 3 is a peak element and your function should return the index number 2
+```
+
+__Example 2:__
+
+```
+Input: nums = [1,2,1,3,5,6,4]
+Output: 5
+Explanation: Your function can return either index number 1 where the peak element is 2, or index number 5 where the peak element is 6
+```
+
+__Similar Tasks:__
+
+- [Task 1]()
+- [Task 2]()
+- [Task 3]()

From 491c4178d04b86df9c24c530ebb8b1710b7ef3ef Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Tue, 24 Sep 2024 14:07:16 +0300
Subject: [PATCH 099/110] fix little thing

---
 task-archieve/imagining-layout.md/summary.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/task-archieve/imagining-layout.md/summary.md b/task-archieve/imagining-layout.md/summary.md
index ecddce4..3e98d42 100644
--- a/task-archieve/imagining-layout.md/summary.md
+++ b/task-archieve/imagining-layout.md/summary.md
@@ -5,7 +5,7 @@
 > [Algorithm Explanation](./explanations/one-pointer-one-array/iterate-an-array.md)
 
 ```js
-function approach(array) {
+function algorithm(array) {
     for (let i = 0; i < array.length; i++) {
         logic(array[i], i);
     }
@@ -23,7 +23,7 @@ __Output:__ value: `1`, `2`, `3`, index: `0`, `1`, `2`
 > [Algorithm Explanation](https://google.com)
 
 ```js
-function approach(array) {
+function algorithm(array) {
     for (let i = array.length - 1; i >= 0; i--) {
         logic(array[i], i);
     }

From 70b48b28098a9d96538e63c3901fd1972a3c457c Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 26 Sep 2024 16:47:59 +0300
Subject: [PATCH 100/110] aestetic updates to the future algorithms tutorial

---
 task-archieve/imagining-layout.md/solutions.md | 6 +++---
 task-archieve/imagining-layout.md/summary.md   | 4 ++--
 task-archieve/imagining-layout.md/task.md      | 5 +++--
 3 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/task-archieve/imagining-layout.md/solutions.md b/task-archieve/imagining-layout.md/solutions.md
index 88d78d5..9d68d41 100644
--- a/task-archieve/imagining-layout.md/solutions.md
+++ b/task-archieve/imagining-layout.md/solutions.md
@@ -7,9 +7,9 @@
 | [`One Pointer One Array`](../../algorithms/one-pointer-one-array.md) | [*`Iterate an array`*](../../algorithms/one-pointer-one-array.md#iterate-an-array) | [Explanation](../../algorithms/explanations/one-pointer-one-array/iterate-an-array.md) |
 | [`Two Pointers Two Arrays`](../../algorithms/two-pointers-two-arrays.md) | [*`Two Pointers Meet Each other`*](../../algorithms/two-pointers-two-arrays.md#two-pointers-meet-each-other) | [Explanation](../../algorithms/explanations/two-pointers-two-arrays/two-pointers-meet-each-other.md) |
 
-> __[Code](./solution-1.js)__
+> __[Code (JavaScript)](./solution-1.js)__
 
-> __[Code (Version 2)](./solution-1-v2.js)__
+> __[Code (JavaScript) (Version 2)](./solution-1-v2.js)__
 
 Solution Explanation written here
 
@@ -21,6 +21,6 @@ Solution Explanation written here
 | :- | :- | :- |
 | [`One Pointer One Array`](../../algorithms/one-pointer-one-array.md) | [*`Iterate an array`*](../../algorithms/one-pointer-one-array.md#iterate-an-array) | [Explanation](../../algorithms/explanations/one-pointer-one-array/iterate-an-array.md) |
 
-> __[Code](./solution-2.js)__
+> __[Code (JavaScript)](./solution-2.js)__
 
 Solution Explanation written here
diff --git a/task-archieve/imagining-layout.md/summary.md b/task-archieve/imagining-layout.md/summary.md
index 3e98d42..c8379af 100644
--- a/task-archieve/imagining-layout.md/summary.md
+++ b/task-archieve/imagining-layout.md/summary.md
@@ -2,7 +2,7 @@
 
 ## __*`Iterate an array`*__
 
-> [Algorithm Explanation](./explanations/one-pointer-one-array/iterate-an-array.md)
+> __[Algorithm Explanation](./explanations/one-pointer-one-array/iterate-an-array.md)__
 
 ```js
 function algorithm(array) {
@@ -20,7 +20,7 @@ __Output:__ value: `1`, `2`, `3`, index: `0`, `1`, `2`
 
 ## __*`Iterate an array in reverse`*__
 
-> [Algorithm Explanation](https://google.com)
+> __[Algorithm Explanation](https://google.com)__
 
 ```js
 function algorithm(array) {
diff --git a/task-archieve/imagining-layout.md/task.md b/task-archieve/imagining-layout.md/task.md
index ea3de25..4749b3a 100644
--- a/task-archieve/imagining-layout.md/task.md
+++ b/task-archieve/imagining-layout.md/task.md
@@ -1,7 +1,5 @@
 # Find Peak Element
 
-> [Solutions](./solutions.md)
-
 A peak element is an element that is strictly greater than its neighbors
 
 Given a __0-indexed__ integer array `nums`, find a peak element, and return its index. If the array contains multiple peaks, return the index to __any of the peaks__
@@ -24,6 +22,9 @@ Output: 5
 Explanation: Your function can return either index number 1 where the peak element is 2, or index number 5 where the peak element is 6
 ```
 
+| __[Solutions](./solutions.md)__ |
+| :-: |
+
 __Similar Tasks:__
 
 - [Task 1]()

From 26fd07ef406bbd6232ae7dc6800550c3e6a5815a Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 26 Sep 2024 16:51:14 +0300
Subject: [PATCH 101/110] same again

---
 task-archieve/imagining-layout.md/solutions.md | 6 +++---
 task-archieve/imagining-layout.md/summary.md   | 4 ++--
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/task-archieve/imagining-layout.md/solutions.md b/task-archieve/imagining-layout.md/solutions.md
index 9d68d41..28ca81f 100644
--- a/task-archieve/imagining-layout.md/solutions.md
+++ b/task-archieve/imagining-layout.md/solutions.md
@@ -7,9 +7,9 @@
 | [`One Pointer One Array`](../../algorithms/one-pointer-one-array.md) | [*`Iterate an array`*](../../algorithms/one-pointer-one-array.md#iterate-an-array) | [Explanation](../../algorithms/explanations/one-pointer-one-array/iterate-an-array.md) |
 | [`Two Pointers Two Arrays`](../../algorithms/two-pointers-two-arrays.md) | [*`Two Pointers Meet Each other`*](../../algorithms/two-pointers-two-arrays.md#two-pointers-meet-each-other) | [Explanation](../../algorithms/explanations/two-pointers-two-arrays/two-pointers-meet-each-other.md) |
 
-> __[Code (JavaScript)](./solution-1.js)__
+> [Code (JavaScript)](./solution-1.js)
 
-> __[Code (JavaScript) (Version 2)](./solution-1-v2.js)__
+> [Code (JavaScript) (Version 2)](./solution-1-v2.js)
 
 Solution Explanation written here
 
@@ -21,6 +21,6 @@ Solution Explanation written here
 | :- | :- | :- |
 | [`One Pointer One Array`](../../algorithms/one-pointer-one-array.md) | [*`Iterate an array`*](../../algorithms/one-pointer-one-array.md#iterate-an-array) | [Explanation](../../algorithms/explanations/one-pointer-one-array/iterate-an-array.md) |
 
-> __[Code (JavaScript)](./solution-2.js)__
+> [Code (JavaScript)](./solution-2.js)
 
 Solution Explanation written here
diff --git a/task-archieve/imagining-layout.md/summary.md b/task-archieve/imagining-layout.md/summary.md
index c8379af..3e98d42 100644
--- a/task-archieve/imagining-layout.md/summary.md
+++ b/task-archieve/imagining-layout.md/summary.md
@@ -2,7 +2,7 @@
 
 ## __*`Iterate an array`*__
 
-> __[Algorithm Explanation](./explanations/one-pointer-one-array/iterate-an-array.md)__
+> [Algorithm Explanation](./explanations/one-pointer-one-array/iterate-an-array.md)
 
 ```js
 function algorithm(array) {
@@ -20,7 +20,7 @@ __Output:__ value: `1`, `2`, `3`, index: `0`, `1`, `2`
 
 ## __*`Iterate an array in reverse`*__
 
-> __[Algorithm Explanation](https://google.com)__
+> [Algorithm Explanation](https://google.com)
 
 ```js
 function algorithm(array) {

From 265c0e3b52d6ddbc86904dba3d041ea4d6b5ec61 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 27 Sep 2024 02:23:07 +0300
Subject: [PATCH 102/110] same again once again

---
 task-archieve/imagining-layout.md/solutions.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/task-archieve/imagining-layout.md/solutions.md b/task-archieve/imagining-layout.md/solutions.md
index 28ca81f..70a61cb 100644
--- a/task-archieve/imagining-layout.md/solutions.md
+++ b/task-archieve/imagining-layout.md/solutions.md
@@ -7,12 +7,12 @@
 | [`One Pointer One Array`](../../algorithms/one-pointer-one-array.md) | [*`Iterate an array`*](../../algorithms/one-pointer-one-array.md#iterate-an-array) | [Explanation](../../algorithms/explanations/one-pointer-one-array/iterate-an-array.md) |
 | [`Two Pointers Two Arrays`](../../algorithms/two-pointers-two-arrays.md) | [*`Two Pointers Meet Each other`*](../../algorithms/two-pointers-two-arrays.md#two-pointers-meet-each-other) | [Explanation](../../algorithms/explanations/two-pointers-two-arrays/two-pointers-meet-each-other.md) |
 
+Solution Explanation written here
+
 > [Code (JavaScript)](./solution-1.js)
 
 > [Code (JavaScript) (Version 2)](./solution-1-v2.js)
 
-Solution Explanation written here
-
 ---
 
 ## Solution 2
@@ -21,6 +21,6 @@ Solution Explanation written here
 | :- | :- | :- |
 | [`One Pointer One Array`](../../algorithms/one-pointer-one-array.md) | [*`Iterate an array`*](../../algorithms/one-pointer-one-array.md#iterate-an-array) | [Explanation](../../algorithms/explanations/one-pointer-one-array/iterate-an-array.md) |
 
-> [Code (JavaScript)](./solution-2.js)
-
 Solution Explanation written here
+
+> [Code (JavaScript)](./solution-2.js)

From 7e97aea4c2048c609237b9bb5a6c5cb0b7ee47df Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Sat, 28 Sep 2024 02:07:29 +0300
Subject: [PATCH 103/110] idea for a template task

---
 task-archieve/Kata.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/task-archieve/Kata.txt b/task-archieve/Kata.txt
index 802ccb5..4c5b69b 100644
--- a/task-archieve/Kata.txt
+++ b/task-archieve/Kata.txt
@@ -5,6 +5,7 @@ IDEA: like a glossary with examples idea
 IDEA: perhaps remove the "template" folder (and the links)
 IDEA: maybe algorithm explanation should also have examples
 IDEA: let's not group tasks by algorithm type and so on
+IDEA: consecutive sequences of 1's separated by 0's (there can only be one 0 between any two sequences of 1's) return the length of the last two sequences of 1's is the template task for _Iterate an array keeping one or more previous counters_ (an elegant solution but sometimes this algorithm is the only solution)
 
 TODO: great idea final v3:
   - rename Approach to Algorithm because this project is now called Algorithms or something =)

From 8a664cd1ab11f869af827b5291445449743d237b Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Wed, 2 Oct 2024 23:55:17 +0300
Subject: [PATCH 104/110] tutorial card idea

---
 .../tutorials-structure/algorithms-logo.svg   | 55801 ++++++++++++++++
 .../tutorials-structure/algorithms.md         |    11 +
 .../tutorials-structure/cs50.md               |    11 +
 .../tutorials-structure/logo-alt.jpg          |   Bin 0 -> 22335 bytes
 .../tutorials-structure/logo.jpg              |   Bin 0 -> 8017 bytes
 5 files changed, 55823 insertions(+)
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/algorithms-logo.svg
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/algorithms.md
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/cs50.md
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/logo-alt.jpg
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/logo.jpg

diff --git a/task-archieve/imagining-layout.md/tutorials-structure/algorithms-logo.svg b/task-archieve/imagining-layout.md/tutorials-structure/algorithms-logo.svg
new file mode 100644
index 0000000..45dfbcd
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/algorithms-logo.svg
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diff --git a/task-archieve/imagining-layout.md/tutorials-structure/algorithms.md b/task-archieve/imagining-layout.md/tutorials-structure/algorithms.md
new file mode 100644
index 0000000..b3a5e8c
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/algorithms.md
@@ -0,0 +1,11 @@
+# Algorithms Tutorial
+
+<img src="./algorithms-logo.svg" height=150 />
+
+---
+
+Tutorial descriotion issues here on this page telling about the tutorial and how to approach it etc.
+
+## Location
+
+- [Algorithms Tutorial]()
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/cs50.md b/task-archieve/imagining-layout.md/tutorials-structure/cs50.md
new file mode 100644
index 0000000..fe3d6f7
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/cs50.md
@@ -0,0 +1,11 @@
+# CS50
+
+<img src="./logo.jpg" height=150 />
+
+---
+
+Tutorial descriotion issues here on this page telling about the tutorial and how to approach it etc.
+
+## Location
+
+`./Code/CS/CS50`
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/logo-alt.jpg b/task-archieve/imagining-layout.md/tutorials-structure/logo-alt.jpg
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From 3022262be9cf435c1a66ae0ae25bb99511c9d0d6 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Thu, 3 Oct 2024 00:00:57 +0300
Subject: [PATCH 105/110] add one more example

---
 .../tutorials-structure/algorithms.md            |   2 +-
 .../tutorials-structure/cs50.md                  |   2 +-
 .../tutorials-structure/mern-app-crash-course.md |  11 +++++++++++
 .../tutorials-structure/react-logo.jpg           | Bin 0 -> 7128 bytes
 4 files changed, 13 insertions(+), 2 deletions(-)
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/mern-app-crash-course.md
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/react-logo.jpg

diff --git a/task-archieve/imagining-layout.md/tutorials-structure/algorithms.md b/task-archieve/imagining-layout.md/tutorials-structure/algorithms.md
index b3a5e8c..a9f3ead 100644
--- a/task-archieve/imagining-layout.md/tutorials-structure/algorithms.md
+++ b/task-archieve/imagining-layout.md/tutorials-structure/algorithms.md
@@ -4,7 +4,7 @@
 
 ---
 
-Tutorial descriotion issues here on this page telling about the tutorial and how to approach it etc.
+Tutorial description issues here on this page telling about the tutorial and how to approach it etc.
 
 ## Location
 
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/cs50.md b/task-archieve/imagining-layout.md/tutorials-structure/cs50.md
index fe3d6f7..07404be 100644
--- a/task-archieve/imagining-layout.md/tutorials-structure/cs50.md
+++ b/task-archieve/imagining-layout.md/tutorials-structure/cs50.md
@@ -4,7 +4,7 @@
 
 ---
 
-Tutorial descriotion issues here on this page telling about the tutorial and how to approach it etc.
+Tutorial description issues here on this page telling about the tutorial and how to approach it etc.
 
 ## Location
 
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/mern-app-crash-course.md b/task-archieve/imagining-layout.md/tutorials-structure/mern-app-crash-course.md
new file mode 100644
index 0000000..b3f4ebb
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/mern-app-crash-course.md
@@ -0,0 +1,11 @@
+# React Crash Course (2019)
+
+<img src="./react-logo.jpg" height=150 />
+
+---
+
+React Crash Course from Brad Traversy released in 2019. This Crash Course teaches you the essentials of React
+
+## Location
+
+`./Code/JS/React`
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/react-logo.jpg b/task-archieve/imagining-layout.md/tutorials-structure/react-logo.jpg
new file mode 100644
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From 39e04809814d3fde501ac1553fedc5e08bdf275f Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 4 Oct 2024 16:26:53 +0300
Subject: [PATCH 106/110] structure layout

---
 .../tutorials-structure/README.md             |   8 +++
 .../tutorials-structure/cs.md                 |  28 ++++++++
 .../tutorials-structure/file-structure.txt    |  45 ++++++++++++
 .../tutorials-structure/frontend.md           |  68 ++++++++++++++++++
 .../tutorials-structure/list.md               |   4 ++
 .../tutorials-structure/logo.jpg              | Bin 8017 -> 78079 bytes
 .../{ => tutorial-cards}/algorithms-logo.svg  |   0
 .../{ => tutorial-cards}/algorithms.md        |   0
 .../{ => tutorial-cards}/cs50.md              |   0
 .../{ => tutorial-cards}/logo-alt.jpg         | Bin
 .../tutorial-cards/logo.jpg                   | Bin 0 -> 8017 bytes
 .../mern-app-crash-course.md                  |   0
 .../{ => tutorial-cards}/react-logo.jpg       | Bin
 13 files changed, 153 insertions(+)
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/README.md
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/cs.md
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/file-structure.txt
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/frontend.md
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/list.md
 rename task-archieve/imagining-layout.md/tutorials-structure/{ => tutorial-cards}/algorithms-logo.svg (100%)
 rename task-archieve/imagining-layout.md/tutorials-structure/{ => tutorial-cards}/algorithms.md (100%)
 rename task-archieve/imagining-layout.md/tutorials-structure/{ => tutorial-cards}/cs50.md (100%)
 rename task-archieve/imagining-layout.md/tutorials-structure/{ => tutorial-cards}/logo-alt.jpg (100%)
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/logo.jpg
 rename task-archieve/imagining-layout.md/tutorials-structure/{ => tutorial-cards}/mern-app-crash-course.md (100%)
 rename task-archieve/imagining-layout.md/tutorials-structure/{ => tutorial-cards}/react-logo.jpg (100%)

diff --git a/task-archieve/imagining-layout.md/tutorials-structure/README.md b/task-archieve/imagining-layout.md/tutorials-structure/README.md
new file mode 100644
index 0000000..555dc0f
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/README.md
@@ -0,0 +1,8 @@
+# The Holidays Code
+
+<img src="./logo.jpg" height=100 />
+
+## Contents
+
+- [Tutorials](./list.md)
+- [Learning Maps]()
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/cs.md b/task-archieve/imagining-layout.md/tutorials-structure/cs.md
new file mode 100644
index 0000000..9354489
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/cs.md
@@ -0,0 +1,28 @@
+# Computer Science
+
+- __Tutorials__
+  - [CS50](./tutorial-cards/cs50.md)
+  - [Computer Science 101]()
+  - [Crash Course Computer Science]()
+  - [How do compilers work?]()
+  - [Encodings and Character Sets]()
+
+## Algorithms and Data Structures
+
+- __Tutorials__
+  - [Data Structures (JavaScript) (Beau) (freecodecamp)]()
+  - [Algorithms Tutorial](./tutorial-cards/algorithms.md)
+
+## Networking
+
+- __Tutorials__
+  - [Computer Networking]()
+
+## Linux
+
+- __Tutorials__
+  - [Linux Crash Course]()
+  - [Terminals Tutorial]()
+
+- __Books__
+  - [Linux Fundamentals]()
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/file-structure.txt b/task-archieve/imagining-layout.md/tutorials-structure/file-structure.txt
new file mode 100644
index 0000000..eb6c333
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/file-structure.txt
@@ -0,0 +1,45 @@
+the-holidays-code/
+  notes/  # code notes
+    webpack/
+      v1/  # we can version them horray
+        assets/
+          logo.png  # used by the tutorial card in the tutorials list
+          some-note-picture.jpg  # used by the notes themselves
+          ...
+        README.md
+        introduction.md
+        some-chapter.md
+        ...
+      ...
+    ...
+  tutorials/
+    learnjavascript/  # same as code notes except just one version and more solid from the ground up
+      assets/
+        logo.png  # used by the tutorial card in the tutorials list
+        ...
+      README.md
+      ...
+  projects/
+    mern-app/
+      ...
+    ...
+  list/  # tutorials list (references all of the above)
+    frontend/
+      js/
+        assets/
+          cs50-logo.png  # used by the tutorial cards for the tutorials stored in The Holidays Code outside this repo
+          ...
+        README.md
+        learnjavascript.md  # tutorial card
+        webpack-notes.md  # tutorial card
+        ...
+      ...
+    ...
+    README.md
+  learning-maps/  # in which order and which tutorials to read to become what (relevant as of some year)
+    README.md
+    frontend-2024.md
+    fullstack-2024.md
+    ...
+  README.md/
+  logo.png/
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/frontend.md b/task-archieve/imagining-layout.md/tutorials-structure/frontend.md
new file mode 100644
index 0000000..96b85f7
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/frontend.md
@@ -0,0 +1,68 @@
+# Frontend
+
+- __Tutorials__
+  - [Frontend Introduction]()
+
+## HTML
+
+- __Tutorials__
+  - [HTML W3Schools]()
+
+- __Books__
+  - [HTML Book]()
+
+- __Projects__
+  - [Forms]()
+
+## CSS
+
+- __Tutorials__
+  - [CSS W3Schools]()
+  - [CSS Notes]()
+
+- __Projects__
+  - [Gray]()
+  - [Oranges]()
+  - [GhostHost]()
+  - [Nord]()
+  - [Gradients]()
+
+## JavaScript
+
+- __Tutorials__
+  - [JavaScript W3Schools]()
+  - [JavaScript (Avelx)]()
+  - [learnjavascript]()
+  - [JavaScript Notes]()
+
+- __Books__
+  - [Speaking JavaScript]()
+  - [JavaScript Allonge]()
+
+## Node.js
+
+- __Tutorials__
+  - [Node.js Screencast]()
+  - [Node.js (Rolling Scopes)]()
+
+## Libraries
+
+### SASS
+
+- __Tutorials__
+  - [SASS W3Schools]()
+  - [SASS (Avelx)]()
+
+### Webpack
+
+- __Tutorials__
+  - [Webpack Crash Course (2019)]()
+  - [Webpack Tutorial]()
+
+### React
+
+- __Tutorials__
+  - [React Crash Course (2019)](./tutorial-cards/mern-app-crash-course.md)
+
+- __Projects__
+  - [MERN App]()
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/list.md b/task-archieve/imagining-layout.md/tutorials-structure/list.md
new file mode 100644
index 0000000..4ac3436
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/list.md
@@ -0,0 +1,4 @@
+# Tutorials
+
+- [Computer Science](./cs.md)
+- [Frontend](./frontend.md)
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/logo.jpg b/task-archieve/imagining-layout.md/tutorials-structure/logo.jpg
index 2bb28c861d128fe1aad9ab8f3540dea991e0ca2e..d3ac06cb6b8e2f0070250a47eb6457553b18d31b 100644
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diff --git a/task-archieve/imagining-layout.md/tutorials-structure/mern-app-crash-course.md b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/mern-app-crash-course.md
similarity index 100%
rename from task-archieve/imagining-layout.md/tutorials-structure/mern-app-crash-course.md
rename to task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/mern-app-crash-course.md
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/react-logo.jpg b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/react-logo.jpg
similarity index 100%
rename from task-archieve/imagining-layout.md/tutorials-structure/react-logo.jpg
rename to task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/react-logo.jpg

From 67ea3f8058b26e304c9d52382357c33a283bf7e6 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 4 Oct 2024 17:27:47 +0300
Subject: [PATCH 107/110] structure learning maps

---
 .../tutorials-structure/README.md             |   6 ++--
 .../tutorials-structure/frontend.md           |   5 ++--
 .../learning-maps/README.md                   |   3 ++
 .../learning-maps/frontend-2024.md            |  27 ++++++++++++++++++
 .../tutorials-structure/list.md               |   2 +-
 .../tutorial-cards/mern-app-crash-course.md   |   6 +++-
 .../tutorial-cards/webpack-logo-old.png       | Bin 0 -> 15046 bytes
 .../tutorial-cards/webpack-logo.png           | Bin 0 -> 92426 bytes
 .../tutorial-cards/webpack-v2.md              |  11 +++++++
 .../tutorial-cards/webpack.md                 |  11 +++++++
 10 files changed, 64 insertions(+), 7 deletions(-)
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/learning-maps/README.md
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-logo-old.png
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-logo.png
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-v2.md
 create mode 100644 task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md

diff --git a/task-archieve/imagining-layout.md/tutorials-structure/README.md b/task-archieve/imagining-layout.md/tutorials-structure/README.md
index 555dc0f..425daf6 100644
--- a/task-archieve/imagining-layout.md/tutorials-structure/README.md
+++ b/task-archieve/imagining-layout.md/tutorials-structure/README.md
@@ -1,8 +1,8 @@
 # The Holidays Code
 
-<img src="./logo.jpg" height=100 />
+<img src="./logo.jpg" height=80 />
 
 ## Contents
 
-- [Tutorials](./list.md)
-- [Learning Maps]()
+- [Knowledge](./list.md)
+- [Learning Maps](./learning-maps/README.md)
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/frontend.md b/task-archieve/imagining-layout.md/tutorials-structure/frontend.md
index 96b85f7..96338fe 100644
--- a/task-archieve/imagining-layout.md/tutorials-structure/frontend.md
+++ b/task-archieve/imagining-layout.md/tutorials-structure/frontend.md
@@ -30,8 +30,8 @@
 ## JavaScript
 
 - __Tutorials__
-  - [JavaScript W3Schools]()
   - [JavaScript (Avelx)]()
+  - [JavaScript W3Schools]()
   - [learnjavascript]()
   - [JavaScript Notes]()
 
@@ -57,7 +57,8 @@
 
 - __Tutorials__
   - [Webpack Crash Course (2019)]()
-  - [Webpack Tutorial]()
+  - [Webpack Tutorial](./tutorial-cards/webpack.md)
+  - [Webpack Tutorial (V2)](./tutorial-cards/webpack-v2.md)
 
 ### React
 
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/README.md b/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/README.md
new file mode 100644
index 0000000..482aae5
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/README.md
@@ -0,0 +1,3 @@
+# Learning Maps
+
+- [Frontend (2024)](./frontend-2024.md)
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md b/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md
new file mode 100644
index 0000000..9004be7
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md
@@ -0,0 +1,27 @@
+# Frontend (2024)
+
+## Summary
+
+- [ ] __Step 1.__ Learn the fundamentals
+  - [Frontend Introduction]()
+
+- [ ] __Step 2.__ Continue learning stuff
+  - [CS50]()
+  - [JavaScript W3Schools]() (Chapters 1-11)
+
+- [ ] __Step 3.__ Getting deep
+  - [JavaScript W3Schools]() (Chapters 12-30)
+
+## Learning Map
+
+### __Step 1.__ Learn the fundamentals
+
+Here comes the detailed step explanation on what to do
+
+### __Step 2.__ Continue learning stuff
+
+Here comes the detailed step explanation on what to do. Here you can also explain that sometimes you can parallel learning two fields in technology
+
+### __Step 3.__ Getting deep
+
+Here comes the detailed step explanation on what to do
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/list.md b/task-archieve/imagining-layout.md/tutorials-structure/list.md
index 4ac3436..ca591cb 100644
--- a/task-archieve/imagining-layout.md/tutorials-structure/list.md
+++ b/task-archieve/imagining-layout.md/tutorials-structure/list.md
@@ -1,4 +1,4 @@
-# Tutorials
+# Knowledge
 
 - [Computer Science](./cs.md)
 - [Frontend](./frontend.md)
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/mern-app-crash-course.md b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/mern-app-crash-course.md
index b3f4ebb..c6a7765 100644
--- a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/mern-app-crash-course.md
+++ b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/mern-app-crash-course.md
@@ -8,4 +8,8 @@ React Crash Course from Brad Traversy released in 2019. This Crash Course teache
 
 ## Location
 
-`./Code/JS/React`
+`./Code/JS/React/Video-1.mp4`
+
+`./Code/JS/React/Video-2.mp4`
+
+`./Code/JS/React/Video-3.mp4`
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-logo-old.png b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-logo-old.png
new file mode 100644
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diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-v2.md b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-v2.md
new file mode 100644
index 0000000..317aa02
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-v2.md
@@ -0,0 +1,11 @@
+# Webpack Tutorial (V2)
+
+<img src="./webpack-logo.png" height=150 />
+
+---
+
+Tutorial description issues here on this page telling about the tutorial and how to approach it etc.
+
+## Location
+
+- [Webpack Tutorial (V2)]()
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md
new file mode 100644
index 0000000..563f2a3
--- /dev/null
+++ b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md
@@ -0,0 +1,11 @@
+# Weback Tutorial
+
+<img src="./webpack-logo-old.png" height=150 />
+
+---
+
+Tutorial description issues here on this page telling about the tutorial and how to approach it etc.
+
+## Location
+
+- [Weback Tutorial]()

From 21cf5e5c84800a2588b3465465dd65634dce5748 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 4 Oct 2024 17:29:31 +0300
Subject: [PATCH 108/110] fix typo

---
 .../tutorials-structure/tutorial-cards/webpack.md             | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md
index 563f2a3..654d13e 100644
--- a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md
+++ b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md
@@ -1,4 +1,4 @@
-# Weback Tutorial
+# Webpack Tutorial
 
 <img src="./webpack-logo-old.png" height=150 />
 
@@ -8,4 +8,4 @@ Tutorial description issues here on this page telling about the tutorial and how
 
 ## Location
 
-- [Weback Tutorial]()
+- [Webpack Tutorial]()

From b4555a6ce8e5858915fd63a001c974bd2e8ee7bb Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Fri, 4 Oct 2024 17:35:56 +0300
Subject: [PATCH 109/110] enrich the learning map structure

---
 .../learning-maps/frontend-2024.md                  | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

diff --git a/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md b/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md
index 9004be7..69f66c3 100644
--- a/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md
+++ b/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md
@@ -3,14 +3,19 @@
 ## Summary
 
 - [ ] __Step 1.__ Learn the fundamentals
-  - [Frontend Introduction]()
+  - __Tutorials__
+    - [Frontend Introduction]()
+  - __Books__
+    - [HTML Book]()
 
 - [ ] __Step 2.__ Continue learning stuff
-  - [CS50]()
-  - [JavaScript W3Schools]() (Chapters 1-11)
+  - __Tutorials__
+    - [CS50]()
+    - [JavaScript W3Schools]() (Chapters 1-11)
 
 - [ ] __Step 3.__ Getting deep
-  - [JavaScript W3Schools]() (Chapters 12-30)
+  - __Tutorials__
+    - [JavaScript W3Schools]() (Chapters 12-30)
 
 ## Learning Map
 

From e9dad856ab822c67c43ec5abe11bc86662c34251 Mon Sep 17 00:00:00 2001
From: TomSssM <ilyashome3@gmail.com>
Date: Sat, 5 Oct 2024 22:19:24 +0300
Subject: [PATCH 110/110] move task-archieve as algorithms-tutorial to
 the-holidays-code

---
 3) Task Challanges.md                         |     4 -
 README.md                                     |     1 -
 task-archieve/Kata.txt                        |    80 -
 task-archieve/README.md                       |    54 -
 task-archieve/basketball-games/solution.js    |    25 -
 task-archieve/basketball-games/task.md        |    75 -
 .../solution-2.js                             |    29 -
 .../solution.js                               |    22 -
 .../best-time-to-buy-and-sell-stock/task.md   |    59 -
 task-archieve/climb-stairs/solution-2.js      |    13 -
 task-archieve/climb-stairs/solution-3.js      |    20 -
 task-archieve/climb-stairs/solution.js        |    12 -
 task-archieve/climb-stairs/task.md            |    56 -
 task-archieve/combinations/solution.js        |    24 -
 task-archieve/combinations/task.md            |    93 -
 task-archieve/contiguous-array/solution.js    |    33 -
 task-archieve/contiguous-array/task.md        |    75 -
 .../distance-between-bus-stops/diagram-1.jpg  |   Bin 10096 -> 0 bytes
 .../distance-between-bus-stops/diagram-2.jpg  |   Bin 10385 -> 0 bytes
 .../distance-between-bus-stops/diagram-3.jpg  |   Bin 10088 -> 0 bytes
 .../distance-between-bus-stops/solution-2.js  |    21 -
 .../distance-between-bus-stops/solution.js    |    25 -
 .../distance-between-bus-stops/task.md        |    72 -
 task-archieve/extra-documentation.md          |   117 -
 task-archieve/find-peak-element/solution.js   |    21 -
 task-archieve/find-peak-element/task.md       |    51 -
 .../flatten-nonrecursive/solution-2.js        |    23 -
 .../flatten-nonrecursive/solution.js          |    18 -
 task-archieve/flatten-nonrecursive/task.md    |    40 -
 task-archieve/fruit-into-baskets/solution.js  |    33 -
 task-archieve/fruit-into-baskets/task.md      |    63 -
 .../greatest-integer-in-array/solution.js     |     9 -
 .../greatest-integer-in-array/task.md         |    50 -
 .../imagining-layout.md/file-structure.txt    |    25 -
 .../imagining-layout.md/solutions.md          |    26 -
 task-archieve/imagining-layout.md/summary.md  |    35 -
 task-archieve/imagining-layout.md/task.md     |    32 -
 .../tutorials-structure/README.md             |     8 -
 .../tutorials-structure/cs.md                 |    28 -
 .../tutorials-structure/file-structure.txt    |    45 -
 .../tutorials-structure/frontend.md           |    69 -
 .../learning-maps/README.md                   |     3 -
 .../learning-maps/frontend-2024.md            |    32 -
 .../tutorials-structure/list.md               |     4 -
 .../tutorials-structure/logo.jpg              |   Bin 78079 -> 0 bytes
 .../tutorial-cards/algorithms-logo.svg        | 55801 ----------------
 .../tutorial-cards/algorithms.md              |    11 -
 .../tutorial-cards/cs50.md                    |    11 -
 .../tutorial-cards/logo-alt.jpg               |   Bin 22335 -> 0 bytes
 .../tutorial-cards/logo.jpg                   |   Bin 8017 -> 0 bytes
 .../tutorial-cards/mern-app-crash-course.md   |    15 -
 .../tutorial-cards/react-logo.jpg             |   Bin 7128 -> 0 bytes
 .../tutorial-cards/webpack-logo-old.png       |   Bin 15046 -> 0 bytes
 .../tutorial-cards/webpack-logo.png           |   Bin 92426 -> 0 bytes
 .../tutorial-cards/webpack-v2.md              |    11 -
 .../tutorial-cards/webpack.md                 |    11 -
 .../interleaving-string/interleave.jpg        |   Bin 30824 -> 0 bytes
 .../interleaving-string/solution-2.js         |    27 -
 task-archieve/interleaving-string/solution.js |    97 -
 task-archieve/interleaving-string/task.md     |    59 -
 .../intersection-intervals/solution-2.js      |    46 -
 .../intersection-intervals/solution.js        |    28 -
 task-archieve/intersection-intervals/task.md  |    47 -
 task-archieve/keygen/solution.js              |    29 -
 task-archieve/keygen/task.md                  |    42 -
 .../letter-combinations-queue.gif             |   Bin 5999350 -> 0 bytes
 .../solution-2.js                             |    42 -
 .../solution-3.js                             |    42 -
 .../solution.js                               |    44 -
 .../task.md                                   |    78 -
 .../telephone-keypad.png                      |   Bin 310876 -> 0 bytes
 task-archieve/literature/hash-map.md          |   152 -
 task-archieve/literature/sliding-window.md    |   238 -
 .../longest-letter-subsequence/solution.js    |    40 -
 .../longest-letter-subsequence/task.md        |    48 -
 .../solution.js                               |    31 -
 .../task.md                                   |    48 -
 .../matrix-diagonal-sort/solution.js          |    65 -
 task-archieve/matrix-diagonal-sort/task.md    |    54 -
 .../maximum-product-subarray/solution.js      |    29 -
 .../maximum-product-subarray/task.md          |    42 -
 .../missing-number-sorted-array/solution.js   |    14 -
 .../missing-number-sorted-array/task.md       |    49 -
 task-archieve/missing-number/solution.js      |    14 -
 task-archieve/missing-number/task.md          |    74 -
 .../most-water/assets/hint_water_trap_1.png   |   Bin 76078 -> 0 bytes
 .../most-water/assets/hint_water_trap_2.png   |   Bin 75759 -> 0 bytes
 .../most-water/assets/question_11.jpg         |   Bin 18362 -> 0 bytes
 task-archieve/most-water/solution.js          |    46 -
 task-archieve/most-water/task.md              |    80 -
 task-archieve/move-zeroes/solution-2.js       |    17 -
 task-archieve/move-zeroes/solution.js         |    13 -
 task-archieve/move-zeroes/task.md             |    51 -
 task-archieve/partition-labels/image.png      |   Bin 104377 -> 0 bytes
 task-archieve/partition-labels/solution-2.js  |    32 -
 task-archieve/partition-labels/solution.js    |    54 -
 task-archieve/partition-labels/task.md        |   104 -
 .../solution-2.js                             |    18 -
 .../solution.js                               |    13 -
 .../remove-duplicates-sorted-array/task.md    |    83 -
 task-archieve/reverse-array/solution-2.js     |    18 -
 task-archieve/reverse-array/solution.js       |    12 -
 task-archieve/reverse-array/task.md           |    52 -
 task-archieve/single-number/solution.js       |     9 -
 task-archieve/single-number/task.md           |    55 -
 task-archieve/sort-colors/solution-2.js       |    26 -
 task-archieve/sort-colors/solution.js         |    42 -
 task-archieve/sort-colors/task.md             |    88 -
 .../sort-letters-two-arrays/solution.js       |    18 -
 task-archieve/sort-letters-two-arrays/task.md |    84 -
 task-archieve/summary-ranges/solution.js      |    25 -
 task-archieve/summary-ranges/task.md          |    55 -
 task-archieve/task-type-summary/README.md     |    18 -
 task-archieve/task-type-summary/algorithms.md |   339 -
 task-archieve/task-type-summary/array.md      |   734 -
 .../task-type-summary/data-structures.md      |   150 -
 task-archieve/task-type.md                    |    79 -
 task-archieve/template/README.md              |    22 -
 task-archieve/template/approach.md            |     1 -
 .../template/task-type-2-approach.md          |    56 -
 .../template/task-type-approach-2.md          |    55 -
 task-archieve/template/task-type-approach.md  |    41 -
 .../template/task-type-summary-nested.md      |    39 -
 task-archieve/template/task-type-summary.md   |    43 -
 task-archieve/template/task-type.md           |     1 -
 .../the-last-sequence-of-ones/solution-2.js   |    17 -
 .../the-last-sequence-of-ones/solution.js     |    15 -
 .../the-last-sequence-of-ones/task.md         |    85 -
 .../the-longest-sequence-of-ones/solution.js  |    25 -
 .../the-longest-sequence-of-ones/task.md      |    32 -
 .../solution.js                               |    20 -
 .../three-greatest-integers-in-array/task.md  |    55 -
 .../top-k-frequent-elements/solution.js       |    21 -
 task-archieve/top-k-frequent-elements/task.md |    41 -
 task-archieve/unpack-ip/solution-2.js         |    51 -
 task-archieve/unpack-ip/solution.js           |    50 -
 task-archieve/unpack-ip/task.md               |    60 -
 task-archieve/valid-parentheses/solution.js   |    37 -
 task-archieve/valid-parentheses/task.md       |    54 -
 task-archieve/word-break/solution-2.js        |    22 -
 task-archieve/word-break/solution.js          |    23 -
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 task-archieve/word-search/assets/word1.jpeg   |   Bin 13241 -> 0 bytes
 task-archieve/word-search/assets/word2.jpeg   |   Bin 12448 -> 0 bytes
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 task-archieve/word-search/task.md             |    54 -
 task-archieve/zigzag-conversion/solution.js   |    58 -
 task-archieve/zigzag-conversion/task.md       |    98 -
 150 files changed, 62434 deletions(-)
 delete mode 100644 task-archieve/Kata.txt
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diff --git a/3) Task Challanges.md b/3) Task Challanges.md
index 78dc5f2..5ef88e7 100644
--- a/3) Task Challanges.md	
+++ b/3) Task Challanges.md	
@@ -526,7 +526,3 @@ function getAsyncArraySizePromise(asyncArray) {
 ```
 
 Note how in the `getChunk` function we use `Promise.all` to parallel and thus speed up the execution of the code.
-
-# More tasks
-
-Don't worry lads, there are always more tasks to solve. Feel free to check out [Task Archieve](./task-archieve/README.md).
diff --git a/README.md b/README.md
index 0b21410..205d90d 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,6 @@
 - [Projects from the Tutorial](./projects-from-the-tutorial/README.md) :page_facing_up:
 - [Cool Projects](./cool-projects/README.md) :whale:
 - [Snippets](./snippets/README.md) :seedling:
-- [Task Archieve](./task-archieve/README.md) :scroll:
 - [Writings](./writings/README.md) :black_nib:
 - [Legacy](./legacy/README.md) :file_cabinet:
 
diff --git a/task-archieve/Kata.txt b/task-archieve/Kata.txt
deleted file mode 100644
index 4c5b69b..0000000
--- a/task-archieve/Kata.txt
+++ /dev/null
@@ -1,80 +0,0 @@
-
-TODO: see ./imagining-layout
-
-IDEA: like a glossary with examples idea
-IDEA: perhaps remove the "template" folder (and the links)
-IDEA: maybe algorithm explanation should also have examples
-IDEA: let's not group tasks by algorithm type and so on
-IDEA: consecutive sequences of 1's separated by 0's (there can only be one 0 between any two sequences of 1's) return the length of the last two sequences of 1's is the template task for _Iterate an array keeping one or more previous counters_ (an elegant solution but sometimes this algorithm is the only solution)
-
-TODO: great idea final v3:
-  - rename Approach to Algorithm because this project is now called Algorithms or something =)
-  - create a folder named algorithms and store there as *.md files all abstract explanations of the algorithms and all tasks to refer to these via links
-    NOTE: we explain the algorithm then show it in action by solving the template task right in the explanation and in the solution of the template task itself we merely repeat the explanation except more succintly
-  - change the structure of every task, every task now is to be composed of:
-    1) description
-    2) link to algorithm explanation (for every algorithm applicable)
-    3) solution explanation (for every algorithm applicable)
-    4) links to code solution or solution if more than one (for every algorithm applicable)
-    5) back button
-
-Go over all the Tasks and fill the TODO
-  - first create the Easy Tasks for all the Approaches
-  - then refactor the medium Tasks
-  - make sure no more TODOs are left in the task-archieve
-
-Sort README md by difficulty
-Sort task type md by difficulty
-Sort task type summary md by difficulty
-
-WRITE INTO EXTRA DOCUMENTATION:
-    1) visualize it and see how you would achieve the goal of the Task being completely unrestrained in your imagination and then see which of the ways of solving it you find this way coincidences with which of the Approaches or a combination of the Approaches + ALSO visualize every approach so you can use it like a spell in your imagination
-    2) Also append a note to extra-documentation that README md is Tasks grouped not by timeline but by difficulty in such a way as for a learner to learn
-    3) Make sure extra-documentation tells how to work with the Task Type spoilers and the Approaches
-    4) Make sure extra-documentation mentions how more complex solutions are almost always a combination of the Approaches (the solution utilizes the mechanics of several Approaches instead of just one Approach)
-    5) Explain how when the spoiler says Approach 1 + Approach 2 it means that you need to combine the mechanics of the two Approaches to get the solution
-    6) Just look at the code of the specific solution of the Task and then look at the the abstract code of the Approach in task type summary and you will see the similarity. This similarity is the abstract mechanics that can be reused across multiple Tasks
-    7) Same if you look at the solution that uses a combination of the Approaches. Look at the code of the specific solution and then look at the code of the Approaches that the solution combines and you will see how the mechanics of multiple Appearances intertwine and can be intertwined for attaining a solution to a Task
-
-isPalindrome (search on leetcode) as the template task for the Approach two pointers go in opposite directions
-  + go from start and end until meet Approach
-  + go in reverse Approach
-
-Solve the easy tasks and solidify the Approaches
-  > NOTE: you need the basic education u have never had before dealing with the medium tasks like you do
-  > NOTE: stick them to top of our list showcasing the Approaches more clearly than the current tasks do
-  tasks:
-    https://leetcode.com/list/xix1yu51/
-    https://youtube.com/playlist?list=PLjOcsOwEjb12kPbh4f1BjWh-sao0tX-Md&si=VAlR2vAb_7zZ0e1x
-
-MEDIUM:
-
-https://leetcode.com/problems/insert-interval/
-https://leetcode.com/problems/possible-bipartition/
-https://leetcode.com/problems/rotate-array/
-https://leetcode.com/problems/happy-number/
-https://leetcode.com/problems/count-primes/
-
-https://leetcode.com/problems/word-break/
-https://leetcode.com/problems/word-break/solutions/3205773/139-solution-with-step-by-step-explanation/
-https://leetcode.com/problems/word-break/solutions/3106264/simple-c-dp-short/
-* tabulation (say that it is like our dfs approach except with like memoization on steroids)
-
-https://leetcode.com/problems/interleaving-string/description/
-https://leetcode.com/problems/interleaving-string/solutions/2249509/python-simple-solution-w-explanation-recursion-dp/
-* same as before but tabulation using 2D arrays
-
-https://leetcode.com/problems/palindrome-partitioning/
-  * let's use our dfs function
-
-https://leetcode.com/problems/combination-sum/description/
-  * MORE DFS!!!
-  * https://leetcode.com/problems/combination-sum/solutions/1881839/easy-backtracking-approach-deduplicating-and-pruning/
-
-https://leetcode.com/problems/longest-palindromic-substring/
-NOTE: 1) NEW two indexes go away from each other, max counter, iterate array 2) tabulation
-https://leetcode.com/problems/longest-palindromic-substring/solutions/4212564/beats-96-49-5-different-approaches-brute-force-eac-dp-ma-recursion/
-
-(?) Maybe create a video like Debugger.mp4 showcasing all the features of the debugger
-  - first on MacOS
-  - then on Windows in the 2019 version of vscode
diff --git a/task-archieve/README.md b/task-archieve/README.md
deleted file mode 100644
index 8c657d9..0000000
--- a/task-archieve/README.md
+++ /dev/null
@@ -1,54 +0,0 @@
-## Task Archieve [:scroll:](./task-type.md)
-
-_List of tasks_
-
----
-
-[:bulb: __Extra Documentation__](./extra-documentation.md)
-
-[:bulb: __Task Type Summary__](./task-type-summary/README.md)
-
-- [Find Peak Element](./find-peak-element/task.md)
-- [Reverse an Array](./reverse-array/task.md)
-- [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
-- [The Last Sequence of Ones](./the-last-sequence-of-ones/task.md)
-- [Greatest Integer in Array](./greatest-integer-in-array/task.md)
-- [3 Greatest Integers in Array](./three-greatest-integers-in-array/task.md)
-<!-- TODO: maybe a second approach for the Easy Task of find three greatest integers can be sort array and do something with it -->
-<!-- TODO: maybe "The Longest Sequence of Ones" goes here? -->
-<!-- TODO: Use values as indexes (tweak it a bit to avoid counter: find a Love Triangle) -->
-<!-- TODO: new Approach: two pointers go in opposing directions from each other NOTE: before the go towards each other approach: 1) https://femida.yandex-team.ru/problems/8125/ 2) https://leetcode.com/problems/find-k-closest-elements/description/ -->
-<!-- TODO: continue refactoring: -->
-
-- [Container With Most Water](./most-water/task.md)
-- [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
-- [Zigzag Conversion](./zigzag-conversion/task.md)
-- [Longest sequence of letters](./longest-letter-subsequence/task.md)
-- [The Longest Sequence of Ones](./the-longest-sequence-of-ones/task.md)
-- [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
-- [Flatten non-recursive](./flatten-nonrecursive/task.md)
-- [Intersection of intervals](./intersection-intervals/task.md)
-- [Sort the Matrix diagonally](./matrix-diagonal-sort/task.md)
-- [Keygen](./keygen/task.md)
-- [Combinations](./combinations/task.md)
-- [Word Search](./word-search/task.md)
-- [Climbing Stairs](./climb-stairs/task.md)
-- [Remove Duplicates from Sorted Array](./remove-duplicates-sorted-array/task.md)
-- [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
-- [Contiguous Array](./contiguous-array/task.md)
-- [Longest Substring Without Repeating Characters](./longest-substring-without-repeating-characters/task.md)
-- [Maximum Product Subarray](./maximum-product-subarray/task.md)
-- [Fruit Into Baskets](./fruit-into-baskets/task.md)
-- [Single Number](./single-number/task.md)
-- [Valid Parentheses](./valid-parentheses/task.md)
-- [Partition Labels](./partition-labels/task.md)
-- [Summary Ranges](./summary-ranges/task.md)
-- [Sort Colors](./sort-colors/task.md)
-- [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)
-- [Missing Number](./missing-number/task.md)
-- [Top K Frequent Elements](./top-k-frequent-elements/task.md)
-- [Move Zeroes](./move-zeroes/task.md)
-- [Unpack IP](./unpack-ip/task.md)
-- [Basketball Games](./basketball-games/task.md)
-- [Word Break](./word-break/task.md)
-- [Interleaving String](./interleaving-string/task.md)
diff --git a/task-archieve/basketball-games/solution.js b/task-archieve/basketball-games/solution.js
deleted file mode 100644
index 839e411..0000000
--- a/task-archieve/basketball-games/solution.js
+++ /dev/null
@@ -1,25 +0,0 @@
-function countJudges(games) {
-    games = games.reduce((acc, [start, end]) => {
-        acc.push({ isStart: true, time: start });
-        acc.push({ isStart: false, time: end });
-
-        return acc;
-    }, []);
-
-    games = games.sort((a, b) => a.time - b.time);
-
-    let max = 0;
-    let judges = 0;
-
-    games.forEach(({ isStart }) => {
-        if (isStart) {
-            judges++;
-        } else {
-            judges--;
-        }
-
-        max = Math.max(judges, max);
-    });
-
-    return max;
-}
diff --git a/task-archieve/basketball-games/task.md b/task-archieve/basketball-games/task.md
deleted file mode 100644
index 81a0f21..0000000
--- a/task-archieve/basketball-games/task.md
+++ /dev/null
@@ -1,75 +0,0 @@
-# Basketball Games
-
-We have basketball games. We know the start and the end of each game (in our universe day is not limited to 24 hours so it is OK if the entire duration of all games exceeds this limit). Every such game is to be attended by a judge and one judge can't attend two or more games at the same time (if the two or more games are happening at the same time). Once a game is over its judge becomes free and can attend another game. We need to count how many judges it takes to attend all games
-
-__Example 1:__
-
-```
-Input: [[1, 5], [5, 8]]
-Output: 1
-Explanation: only one judge is required because once the first game [1, 5] is over the judge can go on and attend the next game [5, 8]
-```
-
-__Example 2:__
-
-```
-Input: [[1, 5], [2, 8]]
-Output: 2
-Explanation: takes two judges because the first judge is going to be busy attending the first game [1, 5] and won't be able to attend the second game [2, 8] which is happening in parallel with the first game for a while so we need a second judge to attend the second game
-```
-
-<details>
-
-<summary>Hint</summary>
-
-In order to find the number of judges required we merely need to find the max number of games happening simultaneously at any given point in time
-
-The lines below represent games duration. The game starts and ends where the line starts and ends. Y axis represents the number of games while X axis represents the timeline. As you can see some games overlap (meaning they are happening all at the same time):
-
-```
-           █████           ███████████████████████████   ███████████   ████
-   ████████████████
-██████████████████████████████    ██████████████████████████████████████ ███████████████████
-```
-
-Thus we can see the max number of overlapping games here:
-
-```
-           ██░██           ███████████████████████████   ███████████   ████
-   ██████████░█████
-█████████████░████████████████    ██████████████████████████████████████ ███████████████████
-```
-
-As you can see we have 3 overlapping games and thus need at least 3 judges so that every game is attended by a judge:
-
-```
-           ██1██           ███████████████████████████   ███████████   ████
-   ██████████2█████
-█████████████3████████████████    ██████████████████████████████████████ ███████████████████
-```
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`One Pointer One Array`__ + __`Array and Counter`__
-  <details>
-
-  <summary><i><b><code>Sort the array and do something with it</code></b></i> + <i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array keeping one or more max or min counters</code></b></i></summary>
-
-    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
-
-    As was stated in the Hint above we merely need to find the max number of games happening at the same time. In order to do that we can change the array to be composed of elements where each element represents either start or end of any game. Then the business logic of applying the necessary Approaches becomes evident
-
-    First we need to sort the points in time (when games start and end) thus attained. Then we need to loop through the array keeping track of the counter (the number of judges): if we encounter the start of a game then we increment the counter, if we encounter the end of a game then we decrement the counter. This will allow us to count the max number of games that have ever overlapped during the entire time period, which, as we have discussed, _is_ in fact equal to the number of judges we are going to need (for the number of judges required grows as the number of parallel games grows because a judge has only one limitation of not being able to attend two games simultaneously)
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/best-time-to-buy-and-sell-stock/solution-2.js b/task-archieve/best-time-to-buy-and-sell-stock/solution-2.js
deleted file mode 100644
index 9843898..0000000
--- a/task-archieve/best-time-to-buy-and-sell-stock/solution-2.js
+++ /dev/null
@@ -1,29 +0,0 @@
-function maxProfit(prices) {
-    if (prices.length < 2) {
-        return 0;
-    }
-
-    let profit = 0;
-    let [buy, sell] = prices;
-
-    for (let i = 1; i < prices.length; i++) {
-        let currentBuy = prices[i - 1];
-        let currentSell = prices[i];
-
-        if (currentSell > sell) {
-            sell = currentSell;
-        }
-
-        if (currentBuy < buy) {
-            buy = currentBuy;
-            sell = currentSell;
-        }
-
-        profit = Math.max(profit, sell - buy);
-    }
-
-    return profit;
-}
-
-console.log(maxProfit([7,1,5,3,6,4]));
-console.log(maxProfit([7,6,4,3,1]));
diff --git a/task-archieve/best-time-to-buy-and-sell-stock/solution.js b/task-archieve/best-time-to-buy-and-sell-stock/solution.js
deleted file mode 100644
index 6c25cfc..0000000
--- a/task-archieve/best-time-to-buy-and-sell-stock/solution.js
+++ /dev/null
@@ -1,22 +0,0 @@
-function maxProfit(prices) {
-    let left = 0; // buy
-    let right = 1; // sell
-    let profit = 0;
-
-    while (right < prices.length) {
-        // profitable?
-        if (prices[left] < prices[right]) {
-            profit = Math.max(profit, prices[right] - prices[left]);
-        } else {
-            // we found a left that is even smaller than the previous one (buy cheaper)
-            left = right;
-        }
-
-        right++;
-    }
-
-    return profit;
-}
-
-console.log(maxProfit([7,1,5,3,6,4]));
-console.log(maxProfit([7,6,4,3,1]));
diff --git a/task-archieve/best-time-to-buy-and-sell-stock/task.md b/task-archieve/best-time-to-buy-and-sell-stock/task.md
deleted file mode 100644
index 5d031f8..0000000
--- a/task-archieve/best-time-to-buy-and-sell-stock/task.md
+++ /dev/null
@@ -1,59 +0,0 @@
-# Best Time to Buy and Sell Stock
-
-You are given an array `prices` where `prices[i]` is the price of a given stock on the `i`th day
-
-You want to maximize your profit by choosing a __single day__ to buy one stock and choosing a __different day in the future__ to sell that stock
-
-Return _the maximum profit you can achieve from this transaction_. If you cannot achieve any profit, return `0`
-
-__Example 1:__
-
-```
-Input: prices = [7,1,5,3,6,4]
-Output: 5
-Explanation: Buy on day 2 (price = 1) and sell on day 5 (price = 6), profit = 6-1 = 5
-Note that buying on day 2 and selling on day 1 is not allowed because you must buy before you sell
-```
-
-__Example 2:__
-
-```
-Input: prices = [7,6,4,3,1]
-Output: 0
-Explanation: In this case, no transactions are done and the max profit = 0
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Sliding Window`__
-  <details>
-
-  <summary><i><b><code>Sliding Window. Dynamic size</code></b></i></summary>
-
-    <!-- TODO: Easy Task for Sliding Window fixed size -->
-    <!-- TODO: The example in the article (sliding window) is your Easy Task for this Approach -->
-    <!-- TODO: maybe Easy Task for Sliding Window. Dynamic size -->
-    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
-
-    This is a task for two pointers. Sometimes two pointers move such that one pointer (left pointer) is always behind the other pointer (right pointer). Such a technique when we have the left pointer behind the right pointer and per iteration we either increment the left pointer or the right pointer or per iteration we increment both the left and the right pointers is called "_Sliding Window_"
-
-    In order to learn the basics of the "_Sliding Window_" technique read [this article](../literature/sliding-window.md). We are going to build all further explanation on top of the knowledge from the article
-
-    The size of the Sliding Window is the number of elements of the array between the left and the right pointers. In [the article](../literature/sliding-window.md) the size of the Sliding Window was always the same (we call it "fixed size") because we were always looking at two elements: `i` (right pointer) and `i - m` (`i - WINDOW_SIZE`, left pointer) and the left pointer was always the same distance from the right pointer. Therefore our Window (the elements of the array between the left and the right pointers) always had the same fixed size but for the solution of some "_Sliding Window_" tasks (like this one) we may need to use dynamic (not fixed) size of the Sliding Window
-
-    Dynamic size of the Sliding Window means that whilst the left pointer is always behind the right pointer the distance between the left and the right pointers may change according to some logic. In other words with dynamic size of the Sliding Window both left and right pointers go along the array (left behind right) and they change Window size (the distance between each other) as they go and this is exactly the trick of the Approach we need to implement for the soltuion of this task
-
-    Thus using the _`Sliding Window. Dynamic size`_ Approach you don't have to always increment the left pointer by one or the right pointer by one: the pointers can be set to any index they want so long as the left is behind the right. Indeed the left pointer may even go to the same position as the right pointer while the right pointer increments by one to be ahead of the left pointer. As you can see this Sliding Window we have been talking about may shrink and expand at will
-
-    <!-- TODO: expnanation of the logic of the solution -->
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/climb-stairs/solution-2.js b/task-archieve/climb-stairs/solution-2.js
deleted file mode 100644
index d2119bb..0000000
--- a/task-archieve/climb-stairs/solution-2.js
+++ /dev/null
@@ -1,13 +0,0 @@
-function climbStairs(n) {
-    if (n <= 3) {
-        return n;
-    }
-
-    const steps = [0, 1, 2, 3];
-
-    for (let i = 4; i < n + 1; i++) {
-        steps.push(steps[i - 1] + steps[i - 2]);
-    }
-
-    return steps.pop();
-}
diff --git a/task-archieve/climb-stairs/solution-3.js b/task-archieve/climb-stairs/solution-3.js
deleted file mode 100644
index a807a8f..0000000
--- a/task-archieve/climb-stairs/solution-3.js
+++ /dev/null
@@ -1,20 +0,0 @@
-function climbStairs(n) {
-    if (n <= 1) {
-        return n;
-    }
-
-    let step1 = 1;
-    let step2 = 2;
-    let i = 3;
-
-    while (i < n + 1) {
-        const currentStep = step1 + step2;
-
-        step1 = step2;
-        step2 = currentStep;
-
-        i++;
-    }
-
-    return step2;
-}
diff --git a/task-archieve/climb-stairs/solution.js b/task-archieve/climb-stairs/solution.js
deleted file mode 100644
index a75b7e9..0000000
--- a/task-archieve/climb-stairs/solution.js
+++ /dev/null
@@ -1,12 +0,0 @@
-function climbStairs(n) {
-    const numbers = [0, 1, 1, 2];
-
-    let i = 3;
-
-    while (i < n + 1) {
-        numbers.push(numbers[i - 1] + numbers[i]);
-        i++;
-    }
-
-    return numbers[n + 1];
-}
diff --git a/task-archieve/climb-stairs/task.md b/task-archieve/climb-stairs/task.md
deleted file mode 100644
index 1afeccf..0000000
--- a/task-archieve/climb-stairs/task.md
+++ /dev/null
@@ -1,56 +0,0 @@
-# Climbing Stairs
-
-You are climbing a staircase. It takes `n` steps to reach the top
-
-Each time you can either climb `1` or `2` steps. In how many distinct ways can you climb to the top?
-
-__Example 1:__
-
-```
-Input: n = 2
-Output: 2
-Explanation: There are two ways to climb to the top:
-  1. 1 step + 1 step
-  2. 2 steps
-```
-
-__Example 2:__
-
-```
-Input: n = 3
-Output: 3
-Explanation: There are three ways to climb to the top:
-  1. 1 step + 1 step + 1 step
-  2. 1 step + 2 steps
-  3. 2 steps + 1 step
-```
-
-__Note:__ you need to write a function that returns _the number of ways to climb a staircase (integer)_ __not__ the possible combinations of steps to climb a staircase
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Numbers Math`__
-  <details>
-
-  <summary><i><b><code>Use Fibonacci Sequence</code></b></i></summary>
-
-    You need to use the [Fibonacci Sequence](../../1\)%20Task%20Challanges.md#12-fibonacci) to solve it
-
-  </details>
-
-</details>
-
-<details>
-
-<summary>Hint</summary>
-
-You can store a Fibonacci Sequence in an array and you get `O(n)` memory complexity but you can also solve the task with `O(1)` memory complexity by using two counters instead of an array to get a Fibonacci Sequence
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) | [:white_check_mark: solution 3](./solution-3.js) |
-| :---: | :---: | :---: | :---: |
diff --git a/task-archieve/combinations/solution.js b/task-archieve/combinations/solution.js
deleted file mode 100644
index e5160de..0000000
--- a/task-archieve/combinations/solution.js
+++ /dev/null
@@ -1,24 +0,0 @@
-function combine(n, k) {
-    const result = [];
-
-    function dfs(cur) {
-        if (cur.length === k) {
-            result.push([...cur]);
-            return;
-        }
-
-        for (let i = (cur.at(-1) ?? 0) + 1; i <= n; i++) {
-            // instead of .concat we do .push/.pop
-            cur.push(i);
-            dfs(cur);
-            cur.pop();
-        }
-    }
-
-    dfs([]);
-
-    return result;
-}
-
-console.log('n=4, k=2', combine(4, 2));
-console.log('n=1, k=1', combine(1, 1));
diff --git a/task-archieve/combinations/task.md b/task-archieve/combinations/task.md
deleted file mode 100644
index 4b6f4a6..0000000
--- a/task-archieve/combinations/task.md
+++ /dev/null
@@ -1,93 +0,0 @@
-# Combinations
-
-Given two integers `n` and `k`, return _all possible combinations of_ `k` _numbers chosen from the range_ `[1, n]`
-
-You may return the answer in __any order__
-
-__Example 1:__
-
-```
-Input: n = 4, k = 2
-Output: [[1,2],[1,3],[1,4],[2,3],[2,4],[3,4]]
-Explanation: There are 4 choose 2 = 6 total combinations
-Note that combinations are unordered, i.e., [1,2] and [2,1] are considered to be the same combination
-```
-
-__Example 2:__
-
-```
-Input: n = 1, k = 1
-Output: [[1]]
-Explanation: There is 1 choose 1 = 1 total combination
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Backtracking`__
-  <details>
-
-  <summary><i><b><code>Get all unique combinations of values of an array in any order</code></b></i></summary>
-
-    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
-    <!-- TODO: perhaps port the permutations of the string task to task-archieve -->
-
-    This task is for __*Recursive Backtracking*__. You should use it to do __*Depth-first Search of Array*__ (read on to know what this means). What we need to do here is get all unique combinations of values of an array in any order
-
-    Note that unlike the ["Permutations of a String" task](../../2\)%20Task%20Challanges.md#28-permutations-of-a-string), in this task we are supposed to return the output in __any order__, also we want _combinations_ of values of an array and not _permutations_ like in the "Permutations of a String" task (so basically we are going to combine values of an array instead of re-arranging them the difference being that `[1,2]` and `[2,1]` are different permutations but these are the same combination of the elements). So for this task the order of the combinations doesn't matter. When the order of the combinations doesn't matter you should apply a backtracking algorithm that is actually different from the one we saw before in the "Permutations of a String" task in order not to come up with duplicates (i.e., `[1,2]` and `[2,1]`)
-
-    Basically the "Permutations of a String" task uses the Approach _`Get all permutations of values of an array in any order`_ while in this particular task we need to use the Approach _`Get all unique combinations of values of an array in any order`_
-
-    While in the "Permutations of a String" task we would iterate the array and take out one element out of the array and get the rest of the permutations by recursively backtracking thereby always splitting the array into smaller and smaller chunks what we need to do here is somewhat the opposite though similar: we need to apply the function that by recursively backtracking builds back the array into bigger and bigger chunks (appending elements on the right to the elements on the left)
-
-    This is what the output of the function should look like:
-
-    ```
-    Input: [1,2,3]
-    Output: [
-      [],
-      [1],              [2],           [3],
-      [1,2],[1,3],      [2,3]
-      [1,2,3],
-    ]
-    ```
-
-    Every level (for example `[1], [2], [3]` is level 1, `[1,2],[1,3], [2,3]` is level 2 and `[1,2,3]` is level 3) indicates the depth of the call stack (thus every next level is a recursive call) and every element separated by a space " " indicates iterations within the same function call
-
-    Here is the function:
-
-    ```js
-    function backtrack(arr) {
-      const result = [];
-
-      function dfs(cur, offset) { // depth first search
-        result.push(cur);
-
-        if (offset === arr.length) {
-          return;
-        }
-
-        for (let i = offset; i < arr.length; i++) {
-          dfs(cur.concat(arr[i]), i + 1);
-        }
-      }
-
-      dfs([], 0);
-
-      return result;
-    }
-    ```
-
-    In order to solve the task you need to tweak this function to suit your needs
-
-    __Note:__ we called the recursive function inside the `backtrack` function as `dfs` meaning _Depth-first Search_ because it behaves similarly to the Depth-first Search in Binary Trees (or Graphs) but please don't confuse the two: the Binary Trees versions can be found [here](../../corejs-codejam/test/07-yield-tests.js#L457), [here](../../corejs-codejam/task/07-yield-tasks.js#L113) and of course [here](../../snippets/Data%20Structures/binary-search-tree.js)
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/contiguous-array/solution.js b/task-archieve/contiguous-array/solution.js
deleted file mode 100644
index 89c40a2..0000000
--- a/task-archieve/contiguous-array/solution.js
+++ /dev/null
@@ -1,33 +0,0 @@
-function findMaxLength(nums) {
-    const prevCountersHashMap = {};
-    let maxLength = 0;
-    let counter = 0;
-    let i = 0;
-
-    while (i < nums.length) {
-        const value = nums[i];
-
-        if (value === 0) {
-            counter--;
-        }
-
-        if (value === 1) {
-            counter++;
-        }
-
-        if (counter === 0) {
-            maxLength = i + 1;
-        }
-
-        if (counter in prevCountersHashMap) {
-            const prevIndex = prevCountersHashMap[counter];
-            maxLength = Math.max(maxLength, i - prevIndex);
-        } else {
-            prevCountersHashMap[counter] = i; // store the first unique counter value
-        }
-
-        i++;
-    }
-
-    return maxLength;
-}
diff --git a/task-archieve/contiguous-array/task.md b/task-archieve/contiguous-array/task.md
deleted file mode 100644
index 8ce6e7a..0000000
--- a/task-archieve/contiguous-array/task.md
+++ /dev/null
@@ -1,75 +0,0 @@
-# Contiguous Array
-
-Given a binary array `nums`, return _the maximum length of a contiguous subarray with an equal number of_ `0` _and_ `1`
-
-__Example 1:__
-
-```
-Input: nums = [0,1]
-Output: 2
-Explanation: [0, 1] is the longest contiguous subarray with an equal number of 0 and 1
-```
-
-__Example 2:__
-
-```
-Input: nums = [0,1,0]
-Output: 2
-Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal number of 0 and 1
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array and HashMap`__
-  <details>
-
-  <summary><i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
-
-    <!-- TODO: move abstract explanation of the Approach to an Easy Task -->
-
-    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
-
-    <!-- TODO: The example in the article (hash map) is your Easy Task for this Approach -->
-
-    <!-- TODO: And the HashMap article also features two Approaches (the second one for create HashMap and iterate it) so please move the other one into a separate Task -->
-
-    <!-- TODO: Find the first index of the element in an array that repeats N times is your task for Craate HashMap and iterate the array again using the HashMap -->
-
-    The solution to the ["Remove Duplicate From An Array" task](../../1\)%20Task%20Challanges.md#14-remove-duplicate-from-an-array) is perhaps one of the most classic example of using HashMap to solve a task in `O(n)` time complexity instead of using nested for-loops (therefore "Remove Duplicate From An Array" task is the most classic example of the `Array and HashMap` Task Type, so make sure you understand how it works first before trying to solve this task, it is very crucial)
-
-    __Note:__ you can read more about using HashMap to solve tasks in [this article](../literature/hash-map.md) as this and many other tasks require this knowledge
-
-    You should read Hint for the logic of applying the Approach _`Create and use one or more HashMaps as you iterate an array`_ to solve this particular task
-
-    <!-- TODO: links to Easy Tasks -->
-
-    __Note:__ we have likewise seen lots of other HashMap tasks before:
-    - [First Non Repeating Char in a String](../../1\)%20Task%20Challanges.md#20-first-non-repeating-char-in-a-string)
-    - [Remove Duplicate Chars from a String](../../2\)%20Task%20Challanges.md#21-remove-duplicate-chars-from-a-string)
-    - [Sum of two equal to a number](../../2\)%20Task%20Challanges.md#24-sum-of-two-equal-to-a-number)
-    - [Largest Sum of Two](../../2\)%20Task%20Challanges.md#25-largest-sum-of-two)
-    - [Cash Exchange](../../cheatsheet/cash-exchange.js)
-    - [Longest Consequtive Sequence](../../cheatsheet/longest-cons-sequence.js)
-
-    <!-- TODO: expnanation of the logic of the solution -->
-
-  </details>
-
-</details>
-
-<details>
-
-<summary>Hint</summary>
-
-In order to find the longest contiguous subarray with equal number of `0` and `1` create a counter that we increment by one if we encounter `1` and decrement by one when we encounter `0` as we loop through the array. If the counter becomes zero it means we have gone thru as many `1`s as there were `0`s
-
-The key point to solving this task is to realize that we don't have to always arrive at counter equal to zero, we will also have a contiguous array with equal number of `0` and `1` if our counter arrives at the same value as it has already been before meaning that it looped through an equal number of `1` and `0` (and that is where HashMap comes in as well)
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
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diff --git a/task-archieve/distance-between-bus-stops/solution-2.js b/task-archieve/distance-between-bus-stops/solution-2.js
deleted file mode 100644
index 7106b1e..0000000
--- a/task-archieve/distance-between-bus-stops/solution-2.js
+++ /dev/null
@@ -1,21 +0,0 @@
-function distanceBetweenBusStops(distance, start, destination) {
-    if (start > destination) {
-        const temp = start;
-        start = destination;
-        destination = temp;
-    }
-
-    let sumClockwise = 0;
-    for (let i = start; i < destination; i++) {
-        sumClockwise += distance[i];
-    }
-
-    let totalSum = 0;
-    for (const value of distance) {
-        totalSum += value;
-    }
-
-    const sumCounterclockwise = totalSum - sumClockwise;
-
-    return Math.min(sumClockwise, sumCounterclockwise);
-}
diff --git a/task-archieve/distance-between-bus-stops/solution.js b/task-archieve/distance-between-bus-stops/solution.js
deleted file mode 100644
index 7d6b02f..0000000
--- a/task-archieve/distance-between-bus-stops/solution.js
+++ /dev/null
@@ -1,25 +0,0 @@
-function distanceBetweenBusStops(distance, start, destination) {
-    let clockwise = 0;
-    let counterclockwise = 0;
-
-    let i = start;
-
-    while (i !== destination) {
-        clockwise += distance[i];
-        i = (i + 1) % distance.length;
-    }
-
-    i = start;
-
-    while (i !== destination) {
-        i -= 1;
-
-        if (i < 0) {
-            i = distance.length - 1;
-        }
-
-        counterclockwise += distance[i];
-    }
-
-    return Math.min(clockwise, counterclockwise);
-}
diff --git a/task-archieve/distance-between-bus-stops/task.md b/task-archieve/distance-between-bus-stops/task.md
deleted file mode 100644
index b23afb5..0000000
--- a/task-archieve/distance-between-bus-stops/task.md
+++ /dev/null
@@ -1,72 +0,0 @@
-# Distance Between Bus Stops
-
-A bus has `n` stops numbered from `0` to `n - 1` that form a circle. We know the distance between all pairs of neighboring stops where `distance[i]` is the distance between the stops number `i` and `(i + 1) % n`
-
-The bus goes along both directions i.e. clockwise and counterclockwise
-
-Return the shortest distance between the given `start` and `destination` stops
-
-__Example 1:__
-
-<img src=./diagram-1.jpg width=300 />
-
-```
-Input: distance = [1,2,3,4], start = 0, destination = 1
-Output: 1
-Explanation: Distance between 0 and 1 is 1 or 9, minimum is 1
-```
-
-__Example 2:__
-
-<img src=./diagram-2.jpg width=300 />
-
-```
-Input: distance = [1,2,3,4], start = 0, destination = 2
-Output: 3
-Explanation: Distance between 0 and 2 is 3 or 7, minimum is 3
-```
-
-__Example 3:__
-
-<img src=./diagram-3.jpg width=300 />
-
-```
-Input: distance = [1,2,3,4], start = 0, destination = 3
-Output: 4
-Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`One Pointer One Array`__
-  <details>
-
-  <summary><i><b><code>Iterate an array</code></b></i> + <i><b><code>Iterate an array in reverse</code></b></i></summary>
-
-    In order to solve this Task we first iterate the array and count the sum and then iterate the array in reverse (meaning counterclockwise) and count the sum. Make sure to overlap to the beginning or end of the array when necessary. Then return the lesser sum
-
-    Thus we combine the two Approaches _`Iterate an array`_ and _`Iterate an array in reverse`_ in order to solve this Task ([solution 1](./solution.js))
-
-  </details>
-
----
-
-- __`Array Math Operation on All Elements`__
-  <details>
-
-  <summary><i><b><code>Do math or bitwise operation first on one part of the array and then on another part of of the array</code></b></i></summary>
-
-    <!-- TODO: abstract explanation of the Approach: The Approach is that ... -->
-
-    This Task can also be solved using the Approach _`Do math or bitwise operation first on one part of the array and then on another part of of the array`_ ([solution 2](./solution-2.js)). First of all make sure that the pointer `start` is always _before_ the pointer `destination` (swap them if not so). Then you need to sum all the elements between `start` and `destination` (this is your sum going clockwise, math operation first on one part of the array), after this get the total sum of all the elements of the array and extract the sum of going clockwise from this total sum (this is your sum going counterclockwise, math operation on another part of of the array). Then return the lesser sum
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/extra-documentation.md b/task-archieve/extra-documentation.md
deleted file mode 100644
index 5b278ba..0000000
--- a/task-archieve/extra-documentation.md
+++ /dev/null
@@ -1,117 +0,0 @@
-# Extra Documentation of Task Archieve
-
-The Task Archieve MyCodewars Project groups algorithms tasks by the common approaches used for solving them and teaches the reader to find the right one of the known approaches and apply it to solve any task at all based on the preception that any known task can be generalized and abstracted away to represent one of the known general approaches that can be used when solving an algorithmic problem. So the Task Archieve is sort of a way of building neuron links in your brain
-
-## Terminology of Task Archieve
-
-The Task Archieve is composed of the following entities:
-- Task Type
-- Approach
-- Variation of Approach
-- Task
-- Similar Tasks
-
-### Task
-
-First let's define a Task. It is simply an algorithmic challenge that needs to be solved
-
-### Approach
-
-Approach is a general algorithm that can be applied to solve a Task
-
-For example many Tasks can be solved by iterating an array. Then we say that to iterate an array is an Approach for solving a Task. A Task can be solved if you understand that you need to simply iterate an array (therefore you have found the right Approach for the Task), all that is left to do is to understand the particulars of the logic that go into iterating an array and the solution will manifest itself
-
-Please note that Approaches are very granular in our philosophy here. For example to iterate an array from the beginning of the array to the end is one Approach but to iterate an array from the end to the beginning of the array is another Approach
-
-### Variation of Approach
-
-Just to avoid confusion let's also define what is meant by Variation of Approach
-
-If you look at different Approaches you may find that you can write code that does the same thing (follows the same Approach) in many different ways. For example you can iterate an array by using a for loop _or_ you can iterate an array by using recursion. Then we say that the Approach of iterating an array has two Variations: loop and recursive
-
-### Task Type
-
-Task Type is simply a group of similar Approaches that utilize similar mechanics
-
-For example we can group all Approaches that operate on an array and use only one pointer to do so into a single Task Type and call this Task Type "One Pointer One Array" for our own convenience of structuring our knowledge
-
-### Similar Tasks
-
-A Similar Task is defined by its relation to some other Task. We call Task `A` a Similar Task to Task `B` if Task `A` can be solved using the same Approach as Task `B`
-
-Thus Similar Tasks are a group of Tasks whose solution is attainable via the same Approach
-
-## Structure of Task Archieve
-
-On the [front page](./README.md) you can find a list of Tasks in the chronological order but by clicking the "_scroll_" ( [:scroll:](./task-type.md) ) icon in the header you may toggle the representation of the Tasks menu to the representation where all the Tasks are grouped by a specific Task Type whereas each Task in the group represents one of the Approaches that can be used for solving numerous Tasks. From this point forward we are going to discuss the structure of this latter ["grouped by Task Type" representation](./task-type.md)
-
-Naturally any Task under any particular Task Type header is going to introduce the reader to some Approach with a detailed description thereof and all the further Tasks directly under it _may_ build upon previous knowledge. For example the ["Best Time to Buy and Sell Stock"](./best-time-to-buy-and-sell-stock/task.md) Task introduces the reader to the "Sliding Window" Approach going in detail about this Approach whereas the ["Summary Ranges"](./summary-ranges/task.md) Task is situated right under the "Best Time to Buy and Sell Stock" Task and assumes the previous knowledge of the Approach learned while solving the "Best Time to Buy and Sell Stock" Task
-
-If any given Task can be solved using the same Approach of the Task Type as we have already encounterd then such a Task will not be found on the main menu page where we see tasks grouped by Task Type though such a Task can be found in the "Similar Tasks" spoiler of the Task that it is derived from or on the front page where you can find a list of Tasks in the chronological order. Feel free to solve as many "Similar Tasks" as you wish after learning a certain Approach to get a solid grasp of the newly learnt concept
-
-Therefore the structure of the main menu page where we see tasks grouped by Task Type can be represented as:
-
-```
-- Task Type
-  - Task
-    - Approach
-      * Variation of Approach
-    - Similar Tasks
-```
-
-__Note:__ in the hardest cases different Approaches may call to help each other in a relationship many to many for the solution of a particular Task. Naturally in this case we enlist a Task under the header of the Task Type whose Approach is more crucial to the solution of this Task
-
-__Note:__ a very useful component of the Task Archieve is indeed [Task Type Summary](./task-type-summary/README.md). Task Type Summary gives a quick summary of all the Approaches and Task Types discovered in the Task Archieve. It is extremely useful if you need to refresh your memory on everything learnt as it also provides very clever and succinct code examples of all the Approaches
-
-The rest is simple: learn all the different Approaches, study them, remember them and solidify your knowledge of all the different Approaches and Task Types by studying Tasks and solving Similar Tasks and finally apply all this knowledge and see yourself cracking some of the hardest algorithmic problems with ease and grace
-
-It is also to be noted that in the description of any Task you can find the famous "Task Type" spoiler where grouped by Task Type you can find all the Approaches applicable to the Task. Open the spoiler of any Approach in order to see how it can be applied to solve the Task along with description of how the Approach works. This way solving any Task you can go on to the next Task not merely with a solution of the previous Task but also somewhat wiser than before
-
-## Bonus
-
-### How to understand an algorithm
-
-Sometimes you are looking at a solution to a Task and you can't understand how this solution works. Then you read the explanation provided and you still don't understand it. The thing is, most of the explanation is in the code and knowing that the author of the explanation goes only as far as needed in his efforts to explain. This here article solves this little misunderstanding
-
-One can't understand the code when contemplating it merely because one can't see _all_ parts of the code in action when running the code in his head and should he venture to run the code in real life when it runs so fast that all the important parts evade him all at once once again. Fortunately there is a solution to this minor drawback
-
-In any text editor or in the browser there is a tool called "Debugger". You can learn how to use Debugger for example in "learnjavascript Tutorial" > "Code quality" > "Debugging in the browser". Note that the mechanics of using the Debugger in the browser are the same for the Debugger in any IDE or Code Editor so learnjavascript Tutorial is a good place to learn about it
-
-Debugger can be used not only for debugging your code but also for learning how the code works. Debugger allows to start running your code and then pause it at any point in code where you tell it to do so. The place you tell Debugger to pause execution of your code is called a "breakpoint". For example you can set a breakpoint inside a for-loop and the Debugger will pause the code on each iteration. Thus Debugger essentially allows you to slow down the execution of your code to as slow a speed as you wish
-
-With Debugger you can pause and resume your code at any point of the algorithm. This way you are enabled to run the algorithm not at the speed of light but rather at any speed you want. Thus running the algorithm at a very slow speed with the Debugger you can carefully analyze all the relations between all the values of the code in the flow of its algorithm and see how this flow really proceeds. And this is exactly what your mind needs before it can easily see and understand the algorithm of the code you have been looking at
-
-Thus you can use Debugger in order to understand the algorithm of any code you want. Feel free to make notes or draw when analyzing the code with the Debugger and feel free to read any extra explanations you can find here to help you understand all the algorithms you see here
-
-Once you understand the algorithm of the solution of a specific Task you may note that any solution you find here is tied to one of the many Approaches you can find in this here project. Like we said earlier Approach is merely a more general algorithm that can be applied to come up with similar algorithms for solution of many tasks. Having understood the algorithm of a specific solution you will realize how you are instantly enabled to understand the Approach used in general. This way you will be enabled to use the Approach learnt as a building block in your future complex algorithms for the solutions of many Tasks! And all because you were enabled to understand the algorithm in the first place by using Debugger to learn. This technique of using Debugger to understand the algorithm of how any code works we call here _Debugger calm_ because it is a calm and fulfilling way to go about it
-
-Also when trying to see how the algorithm works or come up with a solution try to visualize the algorithm in action: now arrays become as connected squares and pointers as arrows to the squares, somewhere on the background counters increment and decrement and so on. Whatever your imagination is capable of
-
-### When you can't solve something
-
-One should never worry regarding the matter or suffer any other kindred blunders so characteristic of a studious mind
-
-If one is stuck at the problem for more than 5 to 10 minutes the best approach to resolving this situation is to search for the solution on the Internet (or someplace more adjacent) and start studying the solution instead of trying in vain to reinvent the wheel
-
-### General algorithm to find a solution
-
-When looking for a solution to an algorithmic problem follow this flow: first determine which Task Type the problem _might_ be, then which Approach you may need to employ and then sooner or later the solution will come up
-
-### The objective of a learner
-
-This here your task is to study. Most of the work is going to be concerned with reading and studying the solutions rather than trying to figure them out. And when you try to solve some challenge you merely observe how your mind reacts to challenges as an experiment and the ability of actually solving the challenges comes automatically as a result of this experiment but you don't concentrate on it so much as on the experiment. So it is about building the mindset of a person who can solve these challenges rather than trying to just solve these challenges
-
-It was prudently observed by the creators of the Task Archieve MyCodewars Project that in order to crack the algorithms code interview (unlike Core JS interview for example) one doesn't need to concern themselves with how to solve this particular challenge or other but rather how to build the mindset of a person who knows how to solve these challenges in general. And the same state of mind is to be applied also in the real interview because you do the best job when in this state of mind
-
-### During a Code Interview
-
-One should first determine the Task Type and the Approach thereof if possible. Once that is accomplished one should write pseudo-code to see if the chosen Task Type and Approach solve the Task and discuss it with the interviewer or ask for Hints if necessary. And only after that shall one start writing the actual code for solving the Task in question
-
-Also train your mind to run code in your head as if your mind were a debugger
-
-Oh, and one more thing: stay calm and happy!
-
----
-
-| [:arrow_left: back](./README.md) |
-| :---: |
diff --git a/task-archieve/find-peak-element/solution.js b/task-archieve/find-peak-element/solution.js
deleted file mode 100644
index a37b0db..0000000
--- a/task-archieve/find-peak-element/solution.js
+++ /dev/null
@@ -1,21 +0,0 @@
-function findPeakElement(nums) {
-    if (nums.length === 1 || nums[0] > nums[1]) {
-        return 0;
-    }
-
-    if (nums.length === 2 && nums[1] > nums[0]) {
-        return 1;
-    }
-
-    for (let i = 0; i < nums.length; i++) {
-        const value = nums[i];
-        const left = nums[i - 1] ?? 0;
-        const right = nums[i + 1] ?? 0;
-
-        if (value > left && value > right) {
-            return i;
-        }
-    }
-
-    return -1;
-}
diff --git a/task-archieve/find-peak-element/task.md b/task-archieve/find-peak-element/task.md
deleted file mode 100644
index 166601d..0000000
--- a/task-archieve/find-peak-element/task.md
+++ /dev/null
@@ -1,51 +0,0 @@
-# Find Peak Element
-
-A peak element is an element that is strictly greater than its neighbors
-
-Given a __0-indexed__ integer array `nums`, find a peak element, and return its index. If the array contains multiple peaks, return the index to __any of the peaks__
-
-You may imagine that `nums[-1] = nums[n] = -∞`. In other words, an element is always considered to be strictly greater than a neighbor that is outside the array
-
-__Example 1:__
-
-```
-Input: nums = [1,2,3,1]
-Output: 2
-Explanation: 3 is a peak element and your function should return the index number 2
-```
-
-__Example 2:__
-
-```
-Input: nums = [1,2,1,3,5,6,4]
-Output: 5
-Explanation: Your function can return either index number 1 where the peak element is 2, or index number 5 where the peak element is 6
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`One Pointer One Array`__
-  <details>
-
-  <summary><i><b><code>Iterate an array</code></b></i></summary>
-
-    The Approach is that we iterate an array using one pointer. Per itatation we do something with the element of the array knowing its value and its index and so on
-
-    __Note:__ "pointer" is when we save number to a variable like `i` and use `i` as an index of the array to get values of the array and increment or decrement `i` per iteration, the `i` variable is thus called a _pointer_
-
-    __Note:__ just to be clear, "iteration" is the code that runs inside the braces of the for-loop or while-loop (each time the same code is run but with different values of the variable `i` (pointer) for example starting at 0 and ending with the index of the last element of the array)
-
-    __Note:__ just to be clear, when we say "iterate an array" it means go over all the elements of the array (for example in the for-loop)
-
-    In order to solve this Task we need to compare the element the pointer is at to its neighbors. If the element is greater than both its neighbors then we have found a peak element of the array
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/flatten-nonrecursive/solution-2.js b/task-archieve/flatten-nonrecursive/solution-2.js
deleted file mode 100644
index d2494a0..0000000
--- a/task-archieve/flatten-nonrecursive/solution-2.js
+++ /dev/null
@@ -1,23 +0,0 @@
-function flatten(array) {
-    const result = [];
-    const arraysToProcess = [array];
-
-    while (arraysToProcess.length > 0) {
-        const currentArray = arraysToProcess.pop();
-
-        while (currentArray.length) {
-            const element = currentArray.pop();
-
-            if (Array.isArray(element)) {
-                arraysToProcess.push(currentArray, element);
-                break;
-            } else {
-                result.push(element);
-            }
-        }
-    }
-
-    return result.reverse();
-}
-
-console.log(flatten([1,2,3,[4,[5]],[6],7]));
diff --git a/task-archieve/flatten-nonrecursive/solution.js b/task-archieve/flatten-nonrecursive/solution.js
deleted file mode 100644
index b695bc2..0000000
--- a/task-archieve/flatten-nonrecursive/solution.js
+++ /dev/null
@@ -1,18 +0,0 @@
-function flatten(array) {
-    var stack = [array];
-    var result = [];
-
-    while (stack.length > 0) {
-        var element = stack.pop();
-        if (Array.isArray(element)) {
-            for (var i = element.length - 1; i >= 0; i--) {
-                stack.push(element[i]);
-            }
-        } else {
-            result.push(element);
-        }
-    }
-    return result;
-}
-
-console.log(flatten([1,2,3,[4,[5]],[6],7]));
diff --git a/task-archieve/flatten-nonrecursive/task.md b/task-archieve/flatten-nonrecursive/task.md
deleted file mode 100644
index 1f96c7b..0000000
--- a/task-archieve/flatten-nonrecursive/task.md
+++ /dev/null
@@ -1,40 +0,0 @@
-# Flatten non-recursive
-
-Your task is to write a function that flattens the array like so:
-
-```js
-flatten([1,2,3,[4,[5]],[6],7]); // -> [1,2,3,4,5,6,7]
-```
-
-So we need to unpack the arrays inside this array (and leave other data types untouched)
-
-But the difficulty is that you can only use `.push()` and `.pop()` methods of the `Array` because all the other methods are badly optimized across different JS engines in different browsers
-
-Also you cannot use recursion because an array can be very big and nested very deep and you may thus get a stack overflow error
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Stack or Queue`__
-  <details>
-
-  <summary><i><b><code>Do while loop while Stack is not empty popping and pushing along the way</code></b></i></summary>
-
-    <!-- TODO: this becomes an easy Task for Array and Stack and while loop once you allow to use the .unshift() method -->
-
-    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
-    <!-- TODO: maybe move abstract explanation of the Approach to an Easy Task -->
-
-    __Note:__ the same Approach of using a Stack or a Queue and a while loop was used to perform the depth-first search or breadth-first search of a Binary Tree for example [here](../../corejs-codejam/task/07-yield-tasks.js#L113) or [here](../../corejs-codejam/task/07-yield-tasks.js#L147) (alternatively [here](../../snippets/Data%20Structures/binary-search-tree.js#L222))
-
-    The key to solving this particular Task is to see that you also need to push elements into the Stack in reverse order
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/fruit-into-baskets/solution.js b/task-archieve/fruit-into-baskets/solution.js
deleted file mode 100644
index f166610..0000000
--- a/task-archieve/fruit-into-baskets/solution.js
+++ /dev/null
@@ -1,33 +0,0 @@
-function totalFruit(fruits) {
-    let left = 0;
-    let right = 0;
-    let maxCount = 0;
-    const fruitTypes = {};
-
-    while (right < fruits.length) {
-        const fruitType = fruits[right];
-
-        if (!(fruitType in fruitTypes)) {
-            fruitTypes[fruitType] = 1;
-        } else {
-            fruitTypes[fruitType]++;
-        }
-
-        while (Object.keys(fruitTypes).length > 2) {
-            const leftFruitType = fruits[left];
-
-            fruitTypes[leftFruitType]--;
-
-            if (fruitTypes[leftFruitType] === 0) {
-                delete fruitTypes[leftFruitType];
-            }
-
-            left++;
-        }
-
-        maxCount = Math.max(maxCount, right - left + 1);
-        right++;
-    }
-
-    return maxCount;
-}
diff --git a/task-archieve/fruit-into-baskets/task.md b/task-archieve/fruit-into-baskets/task.md
deleted file mode 100644
index af74899..0000000
--- a/task-archieve/fruit-into-baskets/task.md
+++ /dev/null
@@ -1,63 +0,0 @@
-# Fruit Into Baskets
-
-You are visiting a farm that has a single row of fruit trees arranged from left to right. The trees are represented by an integer array `fruits` where `fruits[i]` is the __type__ of fruit the `i`th tree produces
-
-You want to collect as much fruit as possible. However, the owner has some strict rules that you must follow:
-
-- You only have __two__ baskets, and each basket can only hold a __single type__ of fruit. There is no limit on the amount of fruit each basket can hold
-- Starting from any tree of your choice, you must pick __exactly one fruit__ from __every__ tree (including the start tree) while moving to the right. The picked fruits must fit in one of your baskets
-- Once you reach a tree with fruit that cannot fit in your baskets, you must stop
-
-Given the integer array `fruits`, return _the __maximum__ number of fruits you can pick_
-
-__Example 1:__
-
-```
-Input: fruits = [1,2,1]
-                 ^ ^ ^
-Output: 3
-
-Explanation: We can pick from all 3 trees
-```
-
-__Example 2:__
-
-```
-Input: fruits = [0,1,2,2]
-                   ^ ^ ^
-Output: 3
-
-Explanation: We can pick from trees [1,2,2]
-If we had started at the first tree, we would only pick from trees [0,1]
-```
-
-__Example 3:__
-
-```
-Input: fruits = [1,2,3,2,2]
-                   ^ ^ ^ ^
-Output: 4
-
-Explanation: We can pick from trees [2,3,2,2]
-If we had started at the first tree, we would only pick from trees [1,2]
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Sliding Window`__ + __`Array and HashMap`__
-  <details>
-
-  <summary><i><b><code>Sliding Window. Dynamic size</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
-
-    Just like [this task](../longest-letter-subsequence/task.md)
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/greatest-integer-in-array/solution.js b/task-archieve/greatest-integer-in-array/solution.js
deleted file mode 100644
index d4d5fc2..0000000
--- a/task-archieve/greatest-integer-in-array/solution.js
+++ /dev/null
@@ -1,9 +0,0 @@
-function findGreatestInteger(array) {
-    let maxCounter = -1;
-
-    for (const value of array) {
-        maxCounter = Math.max(value, maxCounter);
-    }
-
-    return maxCounter;
-}
diff --git a/task-archieve/greatest-integer-in-array/task.md b/task-archieve/greatest-integer-in-array/task.md
deleted file mode 100644
index fcc6100..0000000
--- a/task-archieve/greatest-integer-in-array/task.md
+++ /dev/null
@@ -1,50 +0,0 @@
-# Greatest Integer in Array
-
-Given an array of positive integers return the _greatest integer in the array_. If an array is empty return `-1`
-
-__Example 1:__
-
-```
-Input: [1,2,1]
-Output: 2
-```
-
-__Example 2:__
-
-```
-Input: [2,3,2,1,4,7,3,2,2,1]
-Output: 7
-```
-
-__Example 3:__
-
-```
-Input: []
-Output: -1
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array and Counter`__
-  <details>
-
-  <summary><i><b><code>Iterate an array keeping one or more max or min counters</code></b></i></summary>
-
-    The Approach is that we create a counter and then iterate the array. If we come across an element in the array whose value is greater than the current value of the counter then we set the value of this element to the counter and keep on iterating. This way at the end of the iteration of the entire array our counter is going to hold the value of the greatest element of the array. We can also use this Approach to find the smallest element of the array: iterate the array updating the counter if we come across a value in the array that is smaller than the current value of the counter
-
-    __Note:__ only make sure to _initialize_ the counter to a value that is definitely going to be smaller (to find max value of the array) or greater (to find min value of the array) than the first element of the array (for example `-Infinity` or `Infinity`) or simply initialize the counter to the first value of the array and start iterating the array from the second element
-
-    __Note:__ a counter that keeps track of the greatest value in the array we call "max counter" and a counter that keeps track of the smallest value in the array we call "min counter"
-
-    In order to solve this Task we merely need to create and keep track of a max counter iterating the array and return the max counter. Initialize the max counter to `-1`
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/imagining-layout.md/file-structure.txt b/task-archieve/imagining-layout.md/file-structure.txt
deleted file mode 100644
index 2bcdf94..0000000
--- a/task-archieve/imagining-layout.md/file-structure.txt
+++ /dev/null
@@ -1,25 +0,0 @@
-algorithms/
-  glossary/
-    counter.md
-    pointer.md
-    hash-map.md
-    ...
-  explanations/
-    one-pointer-one-array/
-      iterate-an-array.md
-      ...
-  README.md  # summary contents
-  one-pointer-one-array.md  # summary
-  ...
-tasks/
-  README.md  # tasks in learning order
-  some-task/
-    task.md
-    solutions.md
-    solution-1.js
-    solution-1-v2.js
-    solution-2.js
-    ...
-  ...
-README.md  # layout all the project sections
-documentation.md  # explains this project structure
diff --git a/task-archieve/imagining-layout.md/solutions.md b/task-archieve/imagining-layout.md/solutions.md
deleted file mode 100644
index 70a61cb..0000000
--- a/task-archieve/imagining-layout.md/solutions.md
+++ /dev/null
@@ -1,26 +0,0 @@
-# Find Peak Element Solutions
-
-## Solution 1
-
-| __Algorithm Types__ | __Algorithms__ | __Algorithm Explanations__ |
-| :- | :- | :- |
-| [`One Pointer One Array`](../../algorithms/one-pointer-one-array.md) | [*`Iterate an array`*](../../algorithms/one-pointer-one-array.md#iterate-an-array) | [Explanation](../../algorithms/explanations/one-pointer-one-array/iterate-an-array.md) |
-| [`Two Pointers Two Arrays`](../../algorithms/two-pointers-two-arrays.md) | [*`Two Pointers Meet Each other`*](../../algorithms/two-pointers-two-arrays.md#two-pointers-meet-each-other) | [Explanation](../../algorithms/explanations/two-pointers-two-arrays/two-pointers-meet-each-other.md) |
-
-Solution Explanation written here
-
-> [Code (JavaScript)](./solution-1.js)
-
-> [Code (JavaScript) (Version 2)](./solution-1-v2.js)
-
----
-
-## Solution 2
-
-| __Algorithm Types__ | __Algorithms__ | __Algorithm Explanations__ |
-| :- | :- | :- |
-| [`One Pointer One Array`](../../algorithms/one-pointer-one-array.md) | [*`Iterate an array`*](../../algorithms/one-pointer-one-array.md#iterate-an-array) | [Explanation](../../algorithms/explanations/one-pointer-one-array/iterate-an-array.md) |
-
-Solution Explanation written here
-
-> [Code (JavaScript)](./solution-2.js)
diff --git a/task-archieve/imagining-layout.md/summary.md b/task-archieve/imagining-layout.md/summary.md
deleted file mode 100644
index 3e98d42..0000000
--- a/task-archieve/imagining-layout.md/summary.md
+++ /dev/null
@@ -1,35 +0,0 @@
-# __`One Pointer One Array`__
-
-## __*`Iterate an array`*__
-
-> [Algorithm Explanation](./explanations/one-pointer-one-array/iterate-an-array.md)
-
-```js
-function algorithm(array) {
-    for (let i = 0; i < array.length; i++) {
-        logic(array[i], i);
-    }
-}
-```
-
-__Input:__ `[1, 2, 3]`
-
-__Output:__ value: `1`, `2`, `3`, index: `0`, `1`, `2`
-
----
-
-## __*`Iterate an array in reverse`*__
-
-> [Algorithm Explanation](https://google.com)
-
-```js
-function algorithm(array) {
-    for (let i = array.length - 1; i >= 0; i--) {
-        logic(array[i], i);
-    }
-}
-```
-
-__Input:__ `[1, 2, 3]`
-
-__Output:__ value: `3`, `2`, `1`, index: `2`, `1`, `0`
diff --git a/task-archieve/imagining-layout.md/task.md b/task-archieve/imagining-layout.md/task.md
deleted file mode 100644
index 4749b3a..0000000
--- a/task-archieve/imagining-layout.md/task.md
+++ /dev/null
@@ -1,32 +0,0 @@
-# Find Peak Element
-
-A peak element is an element that is strictly greater than its neighbors
-
-Given a __0-indexed__ integer array `nums`, find a peak element, and return its index. If the array contains multiple peaks, return the index to __any of the peaks__
-
-You may imagine that `nums[-1] = nums[n] = -∞`. In other words, an element is always considered to be strictly greater than a neighbor that is outside the array
-
-__Example 1:__
-
-```
-Input: nums = [1,2,3,1]
-Output: 2
-Explanation: 3 is a peak element and your function should return the index number 2
-```
-
-__Example 2:__
-
-```
-Input: nums = [1,2,1,3,5,6,4]
-Output: 5
-Explanation: Your function can return either index number 1 where the peak element is 2, or index number 5 where the peak element is 6
-```
-
-| __[Solutions](./solutions.md)__ |
-| :-: |
-
-__Similar Tasks:__
-
-- [Task 1]()
-- [Task 2]()
-- [Task 3]()
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/README.md b/task-archieve/imagining-layout.md/tutorials-structure/README.md
deleted file mode 100644
index 425daf6..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/README.md
+++ /dev/null
@@ -1,8 +0,0 @@
-# The Holidays Code
-
-<img src="./logo.jpg" height=80 />
-
-## Contents
-
-- [Knowledge](./list.md)
-- [Learning Maps](./learning-maps/README.md)
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/cs.md b/task-archieve/imagining-layout.md/tutorials-structure/cs.md
deleted file mode 100644
index 9354489..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/cs.md
+++ /dev/null
@@ -1,28 +0,0 @@
-# Computer Science
-
-- __Tutorials__
-  - [CS50](./tutorial-cards/cs50.md)
-  - [Computer Science 101]()
-  - [Crash Course Computer Science]()
-  - [How do compilers work?]()
-  - [Encodings and Character Sets]()
-
-## Algorithms and Data Structures
-
-- __Tutorials__
-  - [Data Structures (JavaScript) (Beau) (freecodecamp)]()
-  - [Algorithms Tutorial](./tutorial-cards/algorithms.md)
-
-## Networking
-
-- __Tutorials__
-  - [Computer Networking]()
-
-## Linux
-
-- __Tutorials__
-  - [Linux Crash Course]()
-  - [Terminals Tutorial]()
-
-- __Books__
-  - [Linux Fundamentals]()
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/file-structure.txt b/task-archieve/imagining-layout.md/tutorials-structure/file-structure.txt
deleted file mode 100644
index eb6c333..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/file-structure.txt
+++ /dev/null
@@ -1,45 +0,0 @@
-the-holidays-code/
-  notes/  # code notes
-    webpack/
-      v1/  # we can version them horray
-        assets/
-          logo.png  # used by the tutorial card in the tutorials list
-          some-note-picture.jpg  # used by the notes themselves
-          ...
-        README.md
-        introduction.md
-        some-chapter.md
-        ...
-      ...
-    ...
-  tutorials/
-    learnjavascript/  # same as code notes except just one version and more solid from the ground up
-      assets/
-        logo.png  # used by the tutorial card in the tutorials list
-        ...
-      README.md
-      ...
-  projects/
-    mern-app/
-      ...
-    ...
-  list/  # tutorials list (references all of the above)
-    frontend/
-      js/
-        assets/
-          cs50-logo.png  # used by the tutorial cards for the tutorials stored in The Holidays Code outside this repo
-          ...
-        README.md
-        learnjavascript.md  # tutorial card
-        webpack-notes.md  # tutorial card
-        ...
-      ...
-    ...
-    README.md
-  learning-maps/  # in which order and which tutorials to read to become what (relevant as of some year)
-    README.md
-    frontend-2024.md
-    fullstack-2024.md
-    ...
-  README.md/
-  logo.png/
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/frontend.md b/task-archieve/imagining-layout.md/tutorials-structure/frontend.md
deleted file mode 100644
index 96338fe..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/frontend.md
+++ /dev/null
@@ -1,69 +0,0 @@
-# Frontend
-
-- __Tutorials__
-  - [Frontend Introduction]()
-
-## HTML
-
-- __Tutorials__
-  - [HTML W3Schools]()
-
-- __Books__
-  - [HTML Book]()
-
-- __Projects__
-  - [Forms]()
-
-## CSS
-
-- __Tutorials__
-  - [CSS W3Schools]()
-  - [CSS Notes]()
-
-- __Projects__
-  - [Gray]()
-  - [Oranges]()
-  - [GhostHost]()
-  - [Nord]()
-  - [Gradients]()
-
-## JavaScript
-
-- __Tutorials__
-  - [JavaScript (Avelx)]()
-  - [JavaScript W3Schools]()
-  - [learnjavascript]()
-  - [JavaScript Notes]()
-
-- __Books__
-  - [Speaking JavaScript]()
-  - [JavaScript Allonge]()
-
-## Node.js
-
-- __Tutorials__
-  - [Node.js Screencast]()
-  - [Node.js (Rolling Scopes)]()
-
-## Libraries
-
-### SASS
-
-- __Tutorials__
-  - [SASS W3Schools]()
-  - [SASS (Avelx)]()
-
-### Webpack
-
-- __Tutorials__
-  - [Webpack Crash Course (2019)]()
-  - [Webpack Tutorial](./tutorial-cards/webpack.md)
-  - [Webpack Tutorial (V2)](./tutorial-cards/webpack-v2.md)
-
-### React
-
-- __Tutorials__
-  - [React Crash Course (2019)](./tutorial-cards/mern-app-crash-course.md)
-
-- __Projects__
-  - [MERN App]()
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/README.md b/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/README.md
deleted file mode 100644
index 482aae5..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/README.md
+++ /dev/null
@@ -1,3 +0,0 @@
-# Learning Maps
-
-- [Frontend (2024)](./frontend-2024.md)
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md b/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md
deleted file mode 100644
index 69f66c3..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/learning-maps/frontend-2024.md
+++ /dev/null
@@ -1,32 +0,0 @@
-# Frontend (2024)
-
-## Summary
-
-- [ ] __Step 1.__ Learn the fundamentals
-  - __Tutorials__
-    - [Frontend Introduction]()
-  - __Books__
-    - [HTML Book]()
-
-- [ ] __Step 2.__ Continue learning stuff
-  - __Tutorials__
-    - [CS50]()
-    - [JavaScript W3Schools]() (Chapters 1-11)
-
-- [ ] __Step 3.__ Getting deep
-  - __Tutorials__
-    - [JavaScript W3Schools]() (Chapters 12-30)
-
-## Learning Map
-
-### __Step 1.__ Learn the fundamentals
-
-Here comes the detailed step explanation on what to do
-
-### __Step 2.__ Continue learning stuff
-
-Here comes the detailed step explanation on what to do. Here you can also explain that sometimes you can parallel learning two fields in technology
-
-### __Step 3.__ Getting deep
-
-Here comes the detailed step explanation on what to do
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/list.md b/task-archieve/imagining-layout.md/tutorials-structure/list.md
deleted file mode 100644
index ca591cb..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/list.md
+++ /dev/null
@@ -1,4 +0,0 @@
-# Knowledge
-
-- [Computer Science](./cs.md)
-- [Frontend](./frontend.md)
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/logo.jpg b/task-archieve/imagining-layout.md/tutorials-structure/logo.jpg
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diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/algorithms.md b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/algorithms.md
deleted file mode 100644
index a9f3ead..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/algorithms.md
+++ /dev/null
@@ -1,11 +0,0 @@
-# Algorithms Tutorial
-
-<img src="./algorithms-logo.svg" height=150 />
-
----
-
-Tutorial description issues here on this page telling about the tutorial and how to approach it etc.
-
-## Location
-
-- [Algorithms Tutorial]()
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/cs50.md b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/cs50.md
deleted file mode 100644
index 07404be..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/cs50.md
+++ /dev/null
@@ -1,11 +0,0 @@
-# CS50
-
-<img src="./logo.jpg" height=150 />
-
----
-
-Tutorial description issues here on this page telling about the tutorial and how to approach it etc.
-
-## Location
-
-`./Code/CS/CS50`
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/logo-alt.jpg b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/logo-alt.jpg
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diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/mern-app-crash-course.md b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/mern-app-crash-course.md
deleted file mode 100644
index c6a7765..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/mern-app-crash-course.md
+++ /dev/null
@@ -1,15 +0,0 @@
-# React Crash Course (2019)
-
-<img src="./react-logo.jpg" height=150 />
-
----
-
-React Crash Course from Brad Traversy released in 2019. This Crash Course teaches you the essentials of React
-
-## Location
-
-`./Code/JS/React/Video-1.mp4`
-
-`./Code/JS/React/Video-2.mp4`
-
-`./Code/JS/React/Video-3.mp4`
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/react-logo.jpg b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/react-logo.jpg
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diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-v2.md b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-v2.md
deleted file mode 100644
index 317aa02..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack-v2.md
+++ /dev/null
@@ -1,11 +0,0 @@
-# Webpack Tutorial (V2)
-
-<img src="./webpack-logo.png" height=150 />
-
----
-
-Tutorial description issues here on this page telling about the tutorial and how to approach it etc.
-
-## Location
-
-- [Webpack Tutorial (V2)]()
diff --git a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md b/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md
deleted file mode 100644
index 654d13e..0000000
--- a/task-archieve/imagining-layout.md/tutorials-structure/tutorial-cards/webpack.md
+++ /dev/null
@@ -1,11 +0,0 @@
-# Webpack Tutorial
-
-<img src="./webpack-logo-old.png" height=150 />
-
----
-
-Tutorial description issues here on this page telling about the tutorial and how to approach it etc.
-
-## Location
-
-- [Webpack Tutorial]()
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diff --git a/task-archieve/interleaving-string/solution-2.js b/task-archieve/interleaving-string/solution-2.js
deleted file mode 100644
index 5e6660d..0000000
--- a/task-archieve/interleaving-string/solution-2.js
+++ /dev/null
@@ -1,27 +0,0 @@
-function isInterleave(s1, s2, s3) {
-    function inspect(left, right, s) {
-        if (s.length === 0 && left.length === 0 && right.length === 0) {
-            return true;
-        }
-
-        if (s.length === 0 && (left.length !== 0 || right.length !== 0)) {
-            return false;
-        }
-
-        if (s[0] === left[0]) {
-            if (inspect(left.slice(1), right, s.slice(1))) {
-                return true;
-            }
-        }
-
-        if (s[0] === right[0]) {
-            if (inspect(left, right.slice(1), s.slice(1))) {
-                return true;
-            }
-        }
-
-        return false;
-    }
-
-    return inspect(s1, s2, s3);
-}
diff --git a/task-archieve/interleaving-string/solution.js b/task-archieve/interleaving-string/solution.js
deleted file mode 100644
index b825484..0000000
--- a/task-archieve/interleaving-string/solution.js
+++ /dev/null
@@ -1,97 +0,0 @@
-
-
-// TODO: take out big guns
-    // * NOTE: perhaps watching these videos at random at different times of the day is this system on steroids !!!
-    // https://youtu.be/ih2OZ9-M3OM?si=57bep5dDMKBs7cuW
-    // https://youtu.be/3Rw3p9LrgvE?si=tn9pxd9ogXO-EjtJ
-    // https://youtu.be/EzQ_YEmR598?si=oxBaFIeVDdBHvXAe
-    // https://youtube.com/playlist?list=PLjOcsOwEjb12kPbh4f1BjWh-sao0tX-Md&si=7e8s9Y6xrA4612jk
-
-// TODO: here: tabulation: see the idea of the solution in task.md
-
-function isInterleave(s1, s2, s3) {
-    // Check if the total length of s1 and s2 is equal to s3
-    if (s1.length + s2.length !== s3.length) {
-        return false;
-    }
-
-    // Create a 2D dynamic programming array dp
-    const dp = new Array(s1.length + 1)
-        .fill(false)
-        .map(() => {
-            return new Array(s2.length + 1).fill(false);
-        });
-
-    // Base case: Both s1 and s2 are empty, and s3 is also empty
-    dp[0][0] = true;
-
-    // Fill the first column of dp using s1 and s3
-    for (let i = 1; i <= s1.length; i++) {
-        dp[i][0] = dp[i - 1][0] && s1[i - 1] === s3[i - 1];
-    }
-
-    // Fill the first row of dp using s2 and s3
-    for (let j = 1; j <= s2.length; j++) {
-        dp[0][j] = dp[0][j - 1] && s2[j - 1] === s3[j - 1];
-    }
-
-    // Fill the rest of the dp array based on character matching logic
-    for (let i = 1; i <= s1.length; i++) {
-        for (let j = 1; j <= s2.length; j++) {
-            dp[i][j] = (
-                (dp[i - 1][j] && s1[i - 1] === s3[i + j - 1]) ||
-                (dp[i][j - 1] && s2[j - 1] === s3[i + j - 1])
-            );
-        }
-    }
-
-    // Return whether the last cell of dp is true, indicating s3 can be formed by interleaving s1 and s2
-    return dp[s1.length][s2.length];
-}
-
-const s1 = "aabcc";
-const s2 = "dbbca";
-const s3 = "aadbbcbcac";
-
-console.log(isInterleave(s1, s2, s3)); // Output: true
-
-/*
-
-  a a b c c
-a + + * * *
-a + + * * *
-d * * * * *
-b * * + * *
-b * * + * *
-c * * * + +
-b * * + * *
-c * * * + +
-a + + * * *
-c * * * + +
-
-  d b b c a
-a * * * * +
-a * * * * +
-d + * * * *
-b * + + * *
-b * + + * *
-c * * * + *
-b * + + * *
-c * * * + *
-a * * * * +
-c * * * + *
-
-a 1 1 * * 2
-a 1 1 * * 2
-d 2 * * * *
-b * 2 3 * *
-b * 2 3 * *
-c * * * 3 1
-b * 2 3 * *
-c * * * 3 1
-a 1 1 * * 2
-c * * * 3 1
-
-MAYBE: take from each row one choice such so as to walk all the way down
-
-*/
diff --git a/task-archieve/interleaving-string/task.md b/task-archieve/interleaving-string/task.md
deleted file mode 100644
index 765729b..0000000
--- a/task-archieve/interleaving-string/task.md
+++ /dev/null
@@ -1,59 +0,0 @@
-# Interleaving String
-
-Given strings `s1`, `s2`, and `s3`, find whether `s3` can be formed by __interleaving__ `s1` and `s2`
-
-__Example 1:__
-
-<img src=./interleave.jpg width=300 />
-
-```
-Input: s1 = "aabcc", s2 = "dbbca", s3 = "aadbbcbcac"
-Output: true
-Explanation: One way to obtain s3 is:
-  Split s1 into s1 = "aa" + "bc" + "c", and s2 into s2 = "dbbc" + "a"
-  Interleaving the two splits we get "aa" + "dbbc" + "bc" + "a" + "c" = "aadbbcbcac"
-  Since s3 can be obtained by interleaving s1 and s2 we return true
-```
-
-__Example 2:__
-
-```
-Input: s1 = "aabcc", s2 = "dbbca", s3 = "aadbbbaccc"
-Output: false
-Explanation: It is impossible to interleave s2 with s1 in order to obtain s3
-```
-
-__Example 3:__
-
-```
-Input: s1 = "", s2 = "", s3 = ""
-Output: true
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`TODO: Task Type`__
-  <details>
-
-  <summary><i><b><code>TODO: Approach</code></b></i></summary>
-
-    <!-- TODO: write the Approach using One Pointer One Array and recursion -->
-
-    <!-- TODO: write Tabulation: use 2D array to hold value of whether it interleaves or not then iterate this 2D array decreasing the area to look at to match the index of the letter and see if in this area in at lease one cell the letters have overlapped -->
-
-    TODO: explanation of Approach
-
-    TODO: optional: example of Approach
-
-    TODO: optional: how to apply the Approach to the Task
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/intersection-intervals/solution-2.js b/task-archieve/intersection-intervals/solution-2.js
deleted file mode 100644
index f418717..0000000
--- a/task-archieve/intersection-intervals/solution-2.js
+++ /dev/null
@@ -1,46 +0,0 @@
-console.log(intersection(
-    [[8, 12], [17, 22]],
-    [[5, 11], [14, 18], [20, 23]]
-)); // [[8, 11], [17, 18], [20, 22]]
-
-console.log(intersection(
-    [[9, 15], [18, 21]],
-    [[10, 14], [21, 22]]
-)); // [[10, 14]]
-
-function intersection(user1, user2) {
-    const result = [];
-    let n = 0;
-    let m = 0;
-
-    while (n < user1.length) {
-        const interval = getInterval(user1[n], user2[m]);
-
-        if (interval) {
-            result.push(interval);
-            m++;
-        } else {
-            n++;
-        }
-    }
-
-    return result;
-}
-
-function getInterval(interval1, interval2) {
-    if (!interval1 || !interval2) {
-        return null;
-    }
-
-    const [start1, end1] = interval1;
-    const [start2, end2] = interval2;
-
-    if (start1 < end2 && start2 < end1) {
-        return [
-            Math.max(start1, start2),
-            Math.min(end1, end2)
-        ];
-    }
-
-    return null;
-}
diff --git a/task-archieve/intersection-intervals/solution.js b/task-archieve/intersection-intervals/solution.js
deleted file mode 100644
index 2b7b903..0000000
--- a/task-archieve/intersection-intervals/solution.js
+++ /dev/null
@@ -1,28 +0,0 @@
-console.log(intersection(
-    [[8, 12], [17, 22]],
-    [[5, 11], [14, 18], [20, 23]]
-)); // [[8, 11], [17, 18], [20, 22]]
-
-console.log(intersection(
-    [[9, 15], [18, 21]],
-    [[10, 14], [21, 22]]
-)); // [[10, 14]]
-
-function intersection(user1, user2) {
-    const list = [];
-    let i1 = 0;
-    let i2 = 0;
-
-    while (i1 < user1.length && i2 < user2.length) {
-        const leftOffset = Math.max(user1[i1][0], user2[i2][0]);
-        const rightOffset = Math.min(user1[i1][1], user2[i2][1]);
-
-        if (rightOffset > leftOffset) {
-            list.push([leftOffset, rightOffset]);
-        }
-
-        user1[i1][1] < user2[i2][1] ? ++i1 : ++i2;
-    }
-
-    return list;
-}
diff --git a/task-archieve/intersection-intervals/task.md b/task-archieve/intersection-intervals/task.md
deleted file mode 100644
index b5167d5..0000000
--- a/task-archieve/intersection-intervals/task.md
+++ /dev/null
@@ -1,47 +0,0 @@
-# Intersection of intervals
-
-We have two sorted lists of intervals indicating from which hour until which two users were online (1st array is 1st user and 2nd array is 2nd user). The start of each interval is always less than the end
-
-We need to calculate and return a new list of intervals indicating the intervals when both users were online
-
-_Examples:_
-
-```
-user1 [(8, 12), (17, 22)]
-user2 [(5, 11), (14, 18), (20, 23), (42, 55)]
-  =>  [(8, 11), (17, 18), (20, 22)]
-
-user1 [(9, 15), (18, 21)]
-user2 [(10, 14), (21, 22)]
-  => [(10, 14)]
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Two Pointers Two Arrays`__
-  <details>
-
-  <summary><i><b><code>Two pointers of two arrays increase like in Merge Sort</code></b></i></summary>
-
-    <!-- TODO: move abstract explanation of the Approach to an Easy Task: TODO: merge two sorted arrays -->
-    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
-    <!--
-    It is one of those tasks where we use two pointers (save indexes like `i` and `j` to a variable, `i` is for the 1st array and `j` is for the 2nd array) to iterate __two__ arrays _specially_ for example by increasing or decrasing either one or the other or both pointers per iteration. The part of the "Merge Sort" algorithm that checks two sub-arrays uses similar mechanics as this Approach ([link](../../snippets/algorithms/merge-sort.js#L12))
-
-    So the Approach is: we create a 3rd array and according to some logic push to the 3rd array either element at pointer `i` from the 1st array (and increment `i`) or element at pointer `j` from the 2nd array (and increment `j`). The logic of choosing between `i` or `j` might be as simple as which element is smaller: element at `i` or element `j`
-
-    __Note:__ in fact the "Merge Sort" algorithm is merely this Approach we are looking at here but with recursion to it
-    -->
-
-    <!-- TODO: expnanation of the logic of the solution -->
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/keygen/solution.js b/task-archieve/keygen/solution.js
deleted file mode 100644
index 87e8c2a..0000000
--- a/task-archieve/keygen/solution.js
+++ /dev/null
@@ -1,29 +0,0 @@
-// min included, max excluded
-function random(min, max) {
-    return Math.floor(Math.random() * (max - min)) + min;
-}
-
-function keygen(len, sum) {
-    if (len === 1) {
-        return [sum];
-    }
-
-    const res = [];
-    let f = null;
-
-    while (sum > 0) {
-        if (len - res.length > 1) {
-            f = random(1, Math.floor(sum / 2));
-        } else {
-            f = sum;
-        }
-
-        res.push(f);
-        sum -= f;
-    }
-
-    return res;
-}
-
-console.log('keygen(5, 10)', keygen(5, 10));
-console.log('keygen(4, 13)', keygen(4, 13));
diff --git a/task-archieve/keygen/task.md b/task-archieve/keygen/task.md
deleted file mode 100644
index 28421e9..0000000
--- a/task-archieve/keygen/task.md
+++ /dev/null
@@ -1,42 +0,0 @@
-# Keygen
-
-Your task is to write a function that accepts two arguments:
-1. count of elements in array
-2. sum of these elements (the elements of the array are numbers)
-
-The function should randomly generate the array that fits the requirements above. Also there should not be zeros in the generated array
-
-Here are a few examples:
-
-```js
-function keygen(count, sum) {
-  // ...your code
-}
-
-keygen(5, 10); // => [3, 2, 1, 3, 1]
-keygen(4, 13); // => [2, 5, 3, 3]
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-This is more of a numbers task type than any of the array task types
-
-We have already encountered number task types:
-- [Decimal To Binary](../../1\)%20Task%20Challanges.md#1-decimal-to-binary)
-- [Binary To Decimal](../../1\)%20Task%20Challanges.md#2-binary-to-decimal)
-- [Prime Number](../../1\)%20Task%20Challanges.md#9-prime-number)
-- [Prime Factors](../../1\)%20Task%20Challanges.md#11-prime-factors)
-- [Fibonacci](../../1\)%20Task%20Challanges.md#12-fibonacci)
-- [Greatest Common Divisor](../../1\)%20Task%20Challanges.md#13-greatest-common-divisor)
-- [Swap Numbers Without Temp](../../1\)%20Task%20Challanges.md#16-swap-numbers-without-temp)
-- [Counting Zeros](../../2\)%20Task%20Challanges.md#26-counting-zeros)
-- [Advanced Zeros](../../cheatsheet/advanced-zeros.js)
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/letter-combinations-of-a-phone-number/letter-combinations-queue.gif b/task-archieve/letter-combinations-of-a-phone-number/letter-combinations-queue.gif
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diff --git a/task-archieve/letter-combinations-of-a-phone-number/solution-2.js b/task-archieve/letter-combinations-of-a-phone-number/solution-2.js
deleted file mode 100644
index a2f4c6e..0000000
--- a/task-archieve/letter-combinations-of-a-phone-number/solution-2.js
+++ /dev/null
@@ -1,42 +0,0 @@
-function letterCombinations(digits) {
-    let res = [];
-
-    if (digits.length === 0) {
-        return res;
-    }
-
-    res.push('');
-
-    for (const digit of digits) {
-        const currentLetters = lookup(digit);
-        let newRes = [];
-
-        for (const prefix of res) {
-            for (const currentLetter of currentLetters) {
-                newRes.push(prefix + currentLetter);
-            }
-        }
-
-        res = newRes;
-    }
-
-    return res;
-}
-
-const digitsMap = ['abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs', 'tuv', 'wxyz'];
-
-function lookup(digit) {
-    return digitsMap[Number(digit) - 2]; // "1" does not map to any letters
-}
-
-console.log(
-    letterCombinations('2')
-);
-
-console.log(
-    letterCombinations('23')
-);
-
-console.log(
-    letterCombinations('234')
-);
diff --git a/task-archieve/letter-combinations-of-a-phone-number/solution-3.js b/task-archieve/letter-combinations-of-a-phone-number/solution-3.js
deleted file mode 100644
index e81a93f..0000000
--- a/task-archieve/letter-combinations-of-a-phone-number/solution-3.js
+++ /dev/null
@@ -1,42 +0,0 @@
-function letterCombinations(digits) {
-    const result = [];
-
-    if (digits.length === 0) {
-        return [];
-    }
-
-    function backtrack(prefix, currentDigitIndex) {
-        if (currentDigitIndex === digits.length) {
-            result.push(prefix);
-            return;
-        }
-
-        const letters = lookup(digits[currentDigitIndex]);
-
-        for (const letter of letters) {
-            backtrack(prefix + letter, currentDigitIndex + 1);
-        }
-    }
-
-    backtrack('', 0);
-
-    return result;
-}
-
-const digitsMap = ['abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs', 'tuv', 'wxyz'];
-
-function lookup(digit) {
-    return digitsMap[Number(digit) - 2]; // "1" does not map to any letters
-}
-
-console.log(
-    letterCombinations('2')
-);
-
-console.log(
-    letterCombinations('23')
-);
-
-console.log(
-    letterCombinations('234')
-);
diff --git a/task-archieve/letter-combinations-of-a-phone-number/solution.js b/task-archieve/letter-combinations-of-a-phone-number/solution.js
deleted file mode 100644
index 4c80362..0000000
--- a/task-archieve/letter-combinations-of-a-phone-number/solution.js
+++ /dev/null
@@ -1,44 +0,0 @@
-function letterCombinations(digits) {
-    let queue = [''];
-    let i = 0;
-
-    if (digits === '') {
-        return [];
-    }
-
-    while (i < digits.length) {
-        const letters = lookup(digits[i]);
-        const currentQueue = [];
-
-        while (queue.length > 0) {
-            const prefix = queue.shift();
-
-            for (const letter of letters) {
-                currentQueue.push(prefix + letter);
-            }
-        }
-
-        queue = currentQueue;
-        i++;
-    }
-
-    return queue;
-}
-
-const digitsMap = ['abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs', 'tuv', 'wxyz'];
-
-function lookup(digit) {
-    return digitsMap[Number(digit) - 2]; // "1" does not map to any letters
-}
-
-console.log(
-    letterCombinations('2')
-);
-
-console.log(
-    letterCombinations('23')
-);
-
-console.log(
-    letterCombinations('234')
-);
diff --git a/task-archieve/letter-combinations-of-a-phone-number/task.md b/task-archieve/letter-combinations-of-a-phone-number/task.md
deleted file mode 100644
index 86eb844..0000000
--- a/task-archieve/letter-combinations-of-a-phone-number/task.md
+++ /dev/null
@@ -1,78 +0,0 @@
-# Letter Combinations of a Phone Number
-
-Given a string containing digits from `2-9` inclusive, return all possible letter combinations that the number could represent. Return the answer in __any order__
-
-A mapping of digits to letters (just like on the telephone buttons) is given below. Note that `1` does not map to any letters
-
-<img src=./telephone-keypad.png width=300 />
-
-__Example 1:__
-
-```
-Input: digits = "23"
-Output: ["ad","ae","af","bd","be","bf","cd","ce","cf"]
-```
-
-__Example 2:__
-
-```
-Input: digits = ""
-Output: []
-```
-
-__Example 3:__
-
-```
-Input: digits = "2"
-Output: ["a","b","c"]
-```
-
-__Example 4:__
-
-```
-Input: digits = "234"
-Output:
-[
-  "adg", "adh", "adi", "aeg",
-  "aeh", "aei", "afg", "afh",
-  "afi", "bdg", "bdh", "bdi",
-  "beg", "beh", "bei", "bfg",
-  "bfh", "bfi", "cdg", "cdh",
-  "cdi", "ceg", "ceh", "cei",
-  "cfg", "cfh", "cfi"
-]
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Backtracking`__
-  <details>
-
-  <summary><i><b><code>Get all unique combinations of values of many arrays in any order</code></b></i></summary>
-
-    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
-    <!--
-    It works in this way:
-    1. At the beginning, it is an empty string
-    2. A new layer is obtained by adding characters at the end of the previous layer
-    3. After the new layer is obtained, the previous layer is not used
-    -->
-
-    Think of each button of the phone as an array consisting of 3 elements (for example for button `"2"` the elements of the array are `['a', 'b', 'c']`). As you can see if we have digits `234` then in order to solve the task we need to find all the unique combinations of values of the arrays `['a', 'b', 'c']`, `['d', 'e', 'f']` and `['g', 'h', 'i']`. Thus we can solve the task if we use the Approach _`Get all unique combinations of values of many arrays in any order`_. In order to do this we need to tweak the Approach called _`Merge two Queues of prefixes`_ which we have seen in pure form in [this task](../unpack-ip/task.md)
-
-    Here is a visual representation of the algorithm:
-
-    <img src=./letter-combinations-queue.gif width=400 />
-
-    __Note:__ you can also get all unique combinations of values of many arrays in any order by using the recursive variation of the Approach ([solution 3](./solution-3.js)) but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) | [:white_check_mark: solution 3](./solution-3.js) |
-| :---: | :---: | :---: | :---: |
diff --git a/task-archieve/letter-combinations-of-a-phone-number/telephone-keypad.png b/task-archieve/letter-combinations-of-a-phone-number/telephone-keypad.png
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diff --git a/task-archieve/literature/hash-map.md b/task-archieve/literature/hash-map.md
deleted file mode 100644
index 92f2f19..0000000
--- a/task-archieve/literature/hash-map.md
+++ /dev/null
@@ -1,152 +0,0 @@
-# Using HashMap to solve tasks
-
-Imagine we have a task to find a duplicate number in an _unsorted_ array `[5, 2, 4, 3, 7, 1, 6, 7]`
-
-The naive solution would be to use nested loops to solve this task. The code would be something like this:
-
-```js
-function findDuplicate(arr) {
-  for (let i = 0; i < arr.length; i++) {
-    const value = arr[i];
-
-    for (let j = 0; j < arr.length; j++) {
-      if (i === j) {
-        continue;
-      }
-
-      if (arr[j] === value) {
-        return value;
-      }
-    }
-  }
-
-  return null;
-}
-```
-
-However the algorithm with nested loops above runs in `O(n^2)` time complexity and while it may still work pretty fast on small arrays it will be really _slow_ on really big arrays
-
-So let's see how we can solve the problem of finding a duplicate number in an unsorted array by using a HashMap
-
-First let's see what is a HashMap. HashMap is a Data Structure that allows us to associate some "key" (usually it is a simple string) with some value. So you store some value under some key and the main power of HashMap is that you can get any value from it by using the right key in _constant_ `O(1)` time ("constant" means that the operation of retrieving the value from the HashMap happens instantly and you don't have to iterate an array of all values in the HashMap to get the value but the HashMap can instantly return you the value as long as you give the HashMap the key of this value)
-
-We could depict a HashMap visually like this:
-
-```
-a  ->  3
-b  ->  true
-c  ->  "ok"
-```
-
-In the _picture_ above we can see that the HashMap has 3 keys (let's say the keys are simple strings): `a`, `b` and `c`. The key `a` is associated with the the value `3` (number), the key `b` is associated with the the value `true` (boolean) and the key `c` is associated with the the value `"ok"` (string). So for example if we wanted to get the value `"ok"` from the HashMap we would ask the HashMap: _give me the value associated with the key_ `c`; and then we would give the HashMap the key `c` and the HashMap would give to us the value `"ok"`. Moreover, the HashMap is going to give us the value `"ok"` in _constant_ time (like we said before, the HashMap is _not_ going to iterate all the values, it is not going to first look at `3`, then look at `true` only to find `"ok"` at long last in the very end but it is going to return `"ok"` _instantly_, in constant time). This ability of HashMap to return values associated with keys in constant time is very often utilized to solve the tasks
-
-If you want to find out more about HashMap or how it works under the hood, you can look [here](../../snippets/Data%20Structures/hash-tables.js) or better still watch the CS50 lecture or some other Computer Science video on HashMaps but please note that HashMap go by different names all of which mean the same thing. The alternative names for HashMap are: Hash Table, Map or, more broadly, Key-Value Storage. We are going to use the name "HashMap" merely for consistency and to avoid confusion
-
-So how do we use a HashMap in JavaScript and how could we possibly use it to solve our task? Let's look into that!
-
-HashMaps are already built into JavaScript, they are a part of the language. In JavaScript HashMaps are simple object literals! Let's write some JavaScript code that creates a HashMap (meaning a simple object) and stores the value `3` (number) associated with the key `abc` and then retireves it:
-
-```js
-const hashMapObjectLiteral = {}; // create HashMap
-
-hashMapObjectLiteral["abc"] = 3; // add value to HashMap
-
-hashMapObjectLiteral["abc"]; // retireves value from HashMap in O(1)
-```
-
-or:
-
-```js
-const hashMapObjectLiteral = {}; // create HashMap
-
-hashMapObjectLiteral.abc = 3; // add value to HashMap
-
-hashMapObjectLiteral.abc; // retireves value from HashMap in O(1)
-```
-
-__Note:__ in JavaScript there is also a built-in `Map` class that allows you to do even more advanced HashMap things (the primary difference is that the built-in `Map` class allows you to use _any values_ as keys while object literals support only strings as keys)
-
-Now that we know how to use a HashMap in JavaScript for constant time lookup of values let's see how we can use a HashMap to solve our task
-
-We indeed don't have to use nested loops to solve our task but we can use a HashMap. We will write an algorithm that will iterate the array and for every value do the following:
-
-- use _value of the array_ as a _key_ of the HashMap and store in HashMap the value `true` associated with every key of the HashMap (the key being, as we said, the value of the array we are currently looking at, therefore a number, which can be easily converted to a string in JavaScript to be used as a key like `3` becomes `"3"`)
-
-- see if there is any value in the HashMap associated with that key
-
-- if there is no value associated with that key in the HashMap then let's store value `true` at that key in the HashMap
-
-- if HashMap already has value `true` associated with that key (once again, the key being the value of the array we are currently looking at) then it means that we have already _seen_ (in one of the previous iterations) the value of the array we are currently looking at and therefore we know that this value is _duplicated_ and we can return it
-
-Here is the code:
-
-```js
-function findDuplicate(arr) {
-  const hashMap = {}; // create HashMap
-
-  for (let i = 0; i < arr.length; i++) {
-    const value = arr[i];
-
-    if (hashMap[value]) {
-      // we have already seen this value!
-      return value;
-    } else {
-      // we haven't seen this value before
-      hashMap[value] = true;
-    }
-  }
-
-  return null; // no value is duplicated
-}
-```
-
-Note how the algorithm using a HashMap above also uses only _one_ for-loop to do the job. Therefore the solution above has `O(n)` time complexity (where `n` is the number of elements in the array), which is significantly better than our previous `O(n^2)` solution using nested loops
-
-HashMap is a very powerful Data Structure and a technique for solving tasks efficiently and we will see many tasks to solve which you need to use the power of HashMap
-
-### Notes
-
-__Note:__ this task cannot be solved in `O(n)` _just_ by using for-loops but we would easily solve this task in `O(n)` indeed by using only one for-loop _if_ the elements in the array were to be sorted because then we would simply look at the current element and see if the next element is equal to it or not: the equal element (number that is) would be the one that is duplicated. So if the array is sorted then it is not a HashMap type of task but a simple One Pointer One Array type of task
-
-__Note:__ using a HashMap is indeed a great performance optimization and almost always you will want to use a HashMap if it solves the problem but merely for practical purposes it is worth mentioning that using a HashMap is sort of a trade-off because when you use a HashMap your code starts consuming more memory (because HashMap requires memory in RAM to store all the values and keys), in other words it requires `O(n)` extra memory (where `n` is the number of elements in the array), so the bigger the input arrray the more memory our code will need while the approach with two nested loops does not consume any extra memory at all. Usually it is OK to consume memory in order to make apps work faster by using all kinds of fancy Data Structures all of which require memory space to store data but it is still worth mentioning that using HashMap or other Data Structures is a trade-off whereas you can make your code run faster at the expense of consuming more memory
-
-__Note:__ HashMap is not the only Data Structure that we can utilize in addition to for-loops and while-loops in order to solve tasks. There are also all kinds of other Data Structures out there that can help us solve tasks in linear `O(n)` time or that provide the only way to solve the task at all but we will see them later on. Feel free to have a look at other [Task Types](../task-type.md) for application of other Data Structures for solving tasks. Good examples of other Data Structures that we can use for solving tasks (just like we have seen HashMap used in this article) are Binary Trees or Graphs
-
-### Bonus
-
-Here is another task that can be solved using HashMap. Try solving this one yourself so you can train your brain to see the cases where you may need to use HashMap. And if you get stuck feel free to see the solution in the spoiler down below
-
-So here is the task:
-
-Given a string of the form `aaabbcccbbbddc` transform it into a string of the form `a3b5c4d2` (letters followed by the number of times the letter is encountered within the string, note that letters may not form a contiguous sequence, look at the letter `b` for example, it is followed by other letters and then can be seen again)
-
-<details>
-
-<summary>Solution</summary>
-
-We need to iterate the string as an array and create a HashMap using letters of the string as keys of the HashMap and associate with every key (therefore a letter of the string) the number of times the letter has been encountered inside the string. Then all we gotta do is iterate the keys of the HashMap (therefore all the letters that were encountered inside the string) and output each key of the HashMap (therefore a letter from the string) followed by the value associated with that key of the HashMap (therefore the number of times the letter has been encountered in the string) and we will get the result that we need
-
-Here is the code:
-
-```js
-function transformString(str) {
-  const hashMap = {};
-
-  for (let i = 0; i < str.length; i++) {
-    const letter = str[i];
-
-    if (letter in hashMap) {
-      hashMap[letter]++;
-    } else {
-      hashMap[letter] = 1;
-    }
-  }
-
-  return Object.entries(hashMap).reduce(
-    (result, [letter, count]) => result + letter + count,
-    ''
-  );
-}
-```
-
-</details>
diff --git a/task-archieve/literature/sliding-window.md b/task-archieve/literature/sliding-window.md
deleted file mode 100644
index c985ab6..0000000
--- a/task-archieve/literature/sliding-window.md
+++ /dev/null
@@ -1,238 +0,0 @@
-# Sliding Window Algorithm
-
-## Overview
-
-Sliding Window Algorithm is a technique for reducing the complexity of algorithms. It is used such that the need for reusing the loops gets reduced and hence the program gets optimized. In this technique, we reuse the result of the previous step to compute the result of the next step
-
-## Scope
-
-- In this article, we will define the Sliding Window Algorithm and show how to use it
-
-- The article also contains steps to solve Sliding Window problems
-
-- The article contains several examples of the Sliding Window Algorithm
-
-## What is Sliding Window Algorithm?
-
-It is an algorithm where we can fast compute the things which have a fixed Window for calculation and we can fetch the result in an optimized manner instead of using the nested loops (naive approach). The main goal of this algorithm is to reuse the result of one Window to compute the result of the next Window
-
-Suppose there is a group of friends of 12 people and they decided to party together but the major concern is who is going to throw that treat. After a lot of discussion among them, they concluded that they are sitting at a round table and the group of three who is sitting adjacent to each other and have the sum of age of every member of that group that is maximum among other groups of the same size will pay the bill
-
-So, to find that group the naive approach would be to consider every person and run a loop for the next three's sum of age but it would take `O(12*3)` units here. We can use the Sliding Window technique and could reduce this problem from `O(12*3)` to `O(12)`. In the next section, we will see how we can use the Sliding Window technique to solve this problem
-
-## How to use Sliding Window Technique?
-
-We can use the Sliding Window technique in the example mentioned above
-
-At first, we will add the sum of the age of three members and after that, we will keep adding the next one and subtracting the last one so that after every step we can get the sum of the age of three people and we keep comparing the sum. Here the Window size is `3` and to compute next group age sum we slide the Window. The time complexity of this algorithm is `O(12)` units and this whole algorithm is Sliding Window Algorithm. Most of the Sliding Window problems can be solved using this algorithm, the portion here which slides every time is the Sliding Window
-
-Let's suppose the students of different ages are:
-
-```
-[21, 23, 24, 22, 22, 21, 26, 23, 22, 21, 24, 20]
-```
-
-And the different windows of 3 people sitting adjacent to each other are: __`[21,23,24]`__, __`[23,24,22]`__, __`[24,22,22]`__, __`[22,22,21]`__, __`[22,21,26]`__, __`[21,26,23]`__, __`[26,23,22]`__, __`[23,22,21]`__, __`[22,21,24]`__, __`[21,24,20]`__
-
-The sums here respectively are calculated using the Sliding Window technique, lets have a look how we approach this problem
-
-The sum of the first three are `21 + 23 + 24 = 68`, and the rest ones are `68 - 21 + 22 = 69`, `69 - 23 + 22 = 68` and so on till last. Here, we can compare the sums calculated at each step to find the required answer
-
-## Basic Steps to Solve Sliding Window Problems
-
-The steps of using the Sliding Window technique are as follows:
-
-1. Find the size of the Window on which the algorithm has to be performed
-2. Calculate the result of the first Window, as we calculate in the naive approach
-3. Maintain a pointer on the start position
-4. Then run a loop and keep Sliding the Window by one step at a time and also Sliding that pointer one at a time, and keep track of the results of every Window
-
-Let's see how we can use these steps to solve Sliding Window problems. Suppose we have an array of integers `arr` of `n` elements and we have to find the maximum sum of `m` elements in that array
-
-__Examples:__
-
-- We have `n = 5`, `arr[5] = {10,20,10,30,5}` and `m = 3`. Then the result would be `60` (`20 + 10 + 30`)
-
-- We have `n = 7`, `arr[7] = {2,10,17,1,9,13,4}` and `m = 4`. Then the result would be `40` (`17 + 1 + 9 + 13`)
-
-The naive approach to solve this problem is by running a loop for every element and then again a nested loop to calculate the sum of next `m` elements and after that maintaining the maximum at every step
-
-_Naive approach for finding the maximum sum of m consecutive elements of an array:_
-
-```cpp
-// header files for C++ programs
-#include<bits/stdc++.h>
-using namespace std;
-
-// a function to calculate maximum sum of subarray of size m in an array of size n
-int findMaximumSum(int arr[], int n, int m)
-{
-  int max_result = INT_MIN;
-
-  for (int i = 0; i <= n - m ; i++) {
-    int running_sum = 0;
-        for (int j = i; j < i+m && j < n; j++)
-            running_sum = running_sum + arr[j];
-
-    // update the max_result variable (counter)
-    max_result = max(running_sum, max_result);
-  }
-
-  return max_result;
-}
-
-int main()
-{
-  int n = 5;
-  int arr[n] = { 10, 20, 10, 30, 5 };
-  int m = 3;
-  int answer = findMaximumSum(arr, n, m);
-
-  cout<<answer;
-
-  return 0;
-}
-```
-_Output:_
-```
-60
-```
-
-<details>
-
-<summary>JavaScript equivalent</summary>
-
-```js
-// a function to calculate maximum sum of subarray of size m in an array of size n
-function findMaximumSum(arr, n, m) {
-    let maxResult = 0;
-
-    for (let i = 0; i <= n - m; i++) {
-        let runningSum = 0;
-
-        for (let j = i; j < i + m; j++) {
-            runningSum += arr[j];
-        }
-
-        // update the maxResult variable (counter)
-        maxResult = Math.max(maxResult, runningSum);
-    }
-
-    return maxResult;
-}
-
-const arr = [10, 20, 10, 30, 5];
-const n = 5;
-const m = 3;
-
-console.log(
-    findMaximumSum(arr, n, m)
-);
-```
-
-</details>
-
-And the time complexity of running this algorithm is `O(n*m)` where `n` is the number of elements in the array and `m` is the size of the Window
-
-Optimized approach is implemented by using the Sliding Window Technique
-
-This is how we can compute the result by applying the Sliding Window technique:
-- We calculate the sum of the first `m` elements of that array and store that sum in a variable named `running_sum`
-
-- Then we will run a loop linearly on the array till the end and slide the Window and keep track of `maximum_sum` by comparing it with the `running_sum` every time
-
-- To get the sum of `m` elements every time for a Window we will add the next element and subtract the first element and so on and keep increasing the first pointer also
-
-- This will give us `maximum_sum` every time
-
-Let's see through the program how the algorithm is implemented. Consider the same example as above
-
-_Optimized approach for finding the maximum sum of m consecutive elements of an array:_
-
-```cpp
-#include <bits/stdc++.h>
-using namespace std;
-
-int findMaximumSum(int arr[], int n, int m)
-{
-  // calculate the sum of the first m elements of that array
-  // and store that sum in a variable named running_sum
-  int max_result = 0;
-
-  for (int i = 0; i < m; i++)
-    max_result += arr[i];
-
-  // calculate sum of the remaining windows by
-  // summing up the next element subtracting the
-  // previous element
-  int running_sum = max_result;
-
-  for (int i = m; i < n; i++) {
-    running_sum = running_sum + (arr[i] - arr[i - m]);
-    max_result = max(max_result, running_sum);
-  }
-
-  return max_result;
-}
-
-int main()
-{
-  int n = 5;
-  int arr[n] = { 10, 20, 10, 30, 5 };
-  int m = 3;
-  int answer = findMaximumSum(arr, n, m);
-
-  cout<<answer;
-
-  return 0;
-}
-```
-_Output:_
-```
-60
-```
-
-<details>
-
-<summary>JavaScript equivalent</summary>
-
-```js
-function findMaximumSum(arr, n, m) {
-    // calculate the sum of the first m elements of that array
-    // and store that sum in a variable named runningSum
-    let maxResult = 0;
-
-    for (let i = 0; i < m; i++) {
-        maxResult += arr[i];
-    }
-
-    // calculate sum of the remaining windows by
-    // summing up the next element subtracting the
-    // previous element
-    let runningSum = maxResult;
-
-    for (let i = m; i < n; i++) {
-        const previousElement = arr[i - m];
-        const newElement = arr[i];
-
-        runningSum -= previousElement;
-        runningSum += newElement;
-
-        maxResult = Math.max(maxResult, runningSum);
-    }
-
-    return maxResult;
-}
-
-const arr = [10, 20, 10, 30, 5];
-const n = 5;
-const m = 3;
-
-console.log(
-    findMaximumSum(arr, n, m)
-);
-```
-
-</details>
-
-In the above code, we are running a loop till `m` and calculating the sum of the first Window, after that linearly iterating over the whole array and add the next element and subtract the left element and after that maintaining the maximum at every step and moving left by one unit every time. This algorithm is best optimized for solving this kind of problem where the Window size is fixed
diff --git a/task-archieve/longest-letter-subsequence/solution.js b/task-archieve/longest-letter-subsequence/solution.js
deleted file mode 100644
index 9163523..0000000
--- a/task-archieve/longest-letter-subsequence/solution.js
+++ /dev/null
@@ -1,40 +0,0 @@
-/**
- * @param {string} str
- * @param {number} K
- */
-function longestStr(str, K) {
-    const registry = {};
-    let start = 0;
-    let end = 0;
-    let max = 0;
-
-    while (end <= str.length) {
-        const startLetter = str[start];
-        const endLetter = str[end];
-        const count = Object.keys(registry).length;
-
-        if (count === K) {
-            max = Math.max(max,
-                Object.values(registry).reduce((a, b) => a + b, 0)
-            );
-        }
-
-        if (end === str.length) {
-            // we also break here because we need to consider the last letter and thus evaluate the if above
-            break;
-        }
-
-        if (count <= K) {
-            registry[endLetter] = (registry[endLetter] ?? 0) + 1;
-            end++;
-        } else {
-            registry[startLetter]--;
-            start++;
-            if (registry[startLetter] === 0) {
-                delete registry[startLetter];
-            }
-        }
-    }
-
-    return max;
-}
diff --git a/task-archieve/longest-letter-subsequence/task.md b/task-archieve/longest-letter-subsequence/task.md
deleted file mode 100644
index c7ffe70..0000000
--- a/task-archieve/longest-letter-subsequence/task.md
+++ /dev/null
@@ -1,48 +0,0 @@
-# Longest sequence of letters
-
-You are given a string of length `L` composed of `N` different letters. Your task is to find the longest substring that would consist of at least `K` different letters
-
-__Example:__
-string `'aaccdd'` if `L = 6` and `N = 3` and
-- `K=1` then `2`
-- `K=2` then `4`
-- `K=3` then `6`
-
-```js
-longestStr('aaccdd', 1); // L=6 N=3 K=1 result: 2
-longestStr('aaccdd', 2); // L=6 N=3 K=2 result: 4
-longestStr('aaccdd', 3); // L=6 N=3 K=3 result: 6
-longestStr('aabaaccdd', 3); // L=9 N=4 K=3 result: 7
-longestStr('ababababccddddddd', 3); // L=17 N=4 K=3 result: 10
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Sliding Window`__ + __`Array and HashMap`__
-  <details>
-
-  <summary><i><b><code>Sliding Window. Dynamic size</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
-
-    <!-- TODO: links to Easy Tasks -->
-
-    <!-- TODO: expnanation of the logic of the solution: we need to combine the Approaches and then comes the explanation -->
-
-  </details>
-
-</details>
-
-<details>
-
-<summary>Similar Tasks</summary>
-
-- [Longest Substring Without Repeating Characters](../longest-substring-without-repeating-characters/task.md)
-- [Fruit Into Baskets](../fruit-into-baskets/task.md)
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/longest-substring-without-repeating-characters/solution.js b/task-archieve/longest-substring-without-repeating-characters/solution.js
deleted file mode 100644
index 8317bba..0000000
--- a/task-archieve/longest-substring-without-repeating-characters/solution.js
+++ /dev/null
@@ -1,31 +0,0 @@
-function lengthOfLongestSubstring(s) {
-    let left = 0;
-    let right = 0;
-    let maxLength = 0;
-    const repeated = {};
-
-    while (right < s.length) {
-        const letter = s[right];
-
-        if (!(letter in repeated)) {
-            repeated[letter] = 1;
-        } else {
-            repeated[letter]++;
-        }
-
-        while (repeated[letter] > 1) {
-            const leftLetter = s[left];
-            repeated[leftLetter]--;
-            left++;
-
-            if (repeated[leftLetter] === 0) {
-                delete repeated[leftLetter];
-            }
-        }
-
-        maxLength = Math.max(maxLength, right - left + 1);
-        right++;
-    }
-
-    return maxLength;
-}
diff --git a/task-archieve/longest-substring-without-repeating-characters/task.md b/task-archieve/longest-substring-without-repeating-characters/task.md
deleted file mode 100644
index 0892027..0000000
--- a/task-archieve/longest-substring-without-repeating-characters/task.md
+++ /dev/null
@@ -1,48 +0,0 @@
-# Longest Substring Without Repeating Characters
-
-Given a string `s`, find the length of the __longest substring__ without repeating characters
-
-__Example 1:__
-
-```
-Input: s = "abcabcbb"
-Output: 3
-Explanation: The answer is "abc", with the length of 3
-```
-
-__Example 2:__
-
-```
-Input: s = "bbbbb"
-Output: 1
-Explanation: The answer is "b", with the length of 1
-```
-
-__Example 3:__
-
-```
-Input: s = "pwwkew"
-Output: 3
-Explanation: The answer is "wke", with the length of 3
-Notice that the answer must be a substring, "pwke" is a subsequence and not a substring
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Sliding Window`__ + __`Array and HashMap`__
-  <details>
-
-  <summary><i><b><code>Sliding Window. Dynamic size</code></b></i> + <i><b><code>Create and use one or more HashMaps as you iterate an array</code></b></i></summary>
-
-    Just like [this task](../longest-letter-subsequence/task.md)
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/matrix-diagonal-sort/solution.js b/task-archieve/matrix-diagonal-sort/solution.js
deleted file mode 100644
index 3c02f5d..0000000
--- a/task-archieve/matrix-diagonal-sort/solution.js
+++ /dev/null
@@ -1,65 +0,0 @@
-function diagonalSort(matrix) {
-    for (let start = 0; start < matrix[0].length; start++) {
-        const tmp = [];
-        let i = 0;
-        let j = start;
-
-        while (matrix[i]?.[j] !== undefined) {
-            tmp.push(matrix[i][j]);
-
-            i++;
-            j++;
-        }
-
-        tmp.sort((a, b) => a - b);
-
-        i = 0;
-        j = start;
-        let k = 0;
-
-        while (matrix[i]?.[j] !== undefined) {
-            matrix[i][j] = tmp[k];
-
-            i++;
-            j++;
-            k++
-        }
-    }
-
-    for (let start = 1; start < matrix.length; start++) {
-        const tmp = [];
-        let i = start;
-        let j = 0;
-
-        while (matrix[i]?.[j] !== undefined) {
-            tmp.push(matrix[i][j]);
-
-            i++;
-            j++;
-        }
-
-        tmp.sort((a, b) => a - b);
-
-        i = start;
-        j = 0;
-        let k = 0;
-
-        while (matrix[i]?.[j] !== undefined) {
-            matrix[i][j] = tmp[k];
-
-            i++;
-            j++;
-            k++
-        }
-    }
-
-    return matrix;
-}
-
-console.log(
-    diagonalSort([
-        [3,3,1,1],
-        [2,2,1,2],
-        [1,1,1,2]
-    ])
-);
diff --git a/task-archieve/matrix-diagonal-sort/task.md b/task-archieve/matrix-diagonal-sort/task.md
deleted file mode 100644
index 7d5bdbe..0000000
--- a/task-archieve/matrix-diagonal-sort/task.md
+++ /dev/null
@@ -1,54 +0,0 @@
-# Sort the Matrix diagonally
-
-Your task is to sort the Matrix diagonally meaning you should sort every diagonal row (going diagonally left to right and top to bottom)
-
-Here is an example:
-
-```js
-// -> Unsorted Matrix:
-[
-[3,3,1,1],
-[2,2,1,2],
-[1,1,1,2]
-]
-
-// <- Diagonally-sorted Matrix:
-[
-[1,1,1,1],
-[1,2,2,2],
-[1,2,3,3]
-]
-```
-
-<details>
-
-<summary>Hint</summary>
-
-- `1.` Iterate the first row (subarray at index 0) and _for each element_ do the following:
-  - `1.1` Create a temporary array
-  - `1.2` Go diagonally (left to right and top to bottom) and put each element into the temporary array
-  - `1.3` Sort the temporary array
-  - `1.4` Go diagonally again (left to right and top to bottom) over the same diagonal lines of the subarrays and replace each element with the element from the temporary array
-- `2.` Starting at the second row (subarrays at index 1+) we can iterate and sort via a temporary array (see point 1. above) not each element but only the first element because the diagonal lines along the rest of the elements in the subarrays at index 1+ have already been sorted in point 1. above
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Matrix`__
-  <details>
-
-  <summary><i><b><code>Iterate a Matrix</code></b></i></summary>
-
-    This is a `Matrix` Task Type using Matrix mechanics or you could also say that you need to look at the _relation_ between the indexes of the array like [here](../zigzag-conversion/task.md)
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/maximum-product-subarray/solution.js b/task-archieve/maximum-product-subarray/solution.js
deleted file mode 100644
index 3355c90..0000000
--- a/task-archieve/maximum-product-subarray/solution.js
+++ /dev/null
@@ -1,29 +0,0 @@
-function maxProduct(nums) {
-    let maxProduct = -Infinity;
-    let counter = 1;
-
-    for (let i = 0; i < nums.length; i++) {
-        counter *= nums[i];
-        maxProduct = Math.max(maxProduct, counter);
-
-        if (counter === 0) {
-            counter = 1;
-        }
-    }
-
-    counter = 1;
-
-    for (let i = nums.length - 1; i >= 0; i--) {
-        counter *= nums[i];
-        maxProduct = Math.max(maxProduct, counter);
-
-        if (counter === 0) {
-            counter = 1;
-        }
-    }
-
-    return maxProduct === -Infinity ? 0 : maxProduct;
-}
-
-console.log(maxProduct([-2])); // -2
-console.log(maxProduct([-8,5,3,1,6])); // 90
diff --git a/task-archieve/maximum-product-subarray/task.md b/task-archieve/maximum-product-subarray/task.md
deleted file mode 100644
index 653554d..0000000
--- a/task-archieve/maximum-product-subarray/task.md
+++ /dev/null
@@ -1,42 +0,0 @@
-# Maximum Product Subarray
-
-Given an integer array `nums`, find a subarray that has the largest product, and return _the product_
-
-__Example 1:__
-
-```
-Input: nums = [2,3,-2,4]
-Output: 6
-Explanation: [2,3] has the largest product 6
-```
-
-__Example 2:__
-
-```
-Input: nums = [-2,0,-1]
-Output: 0
-Explanation: The result cannot be 2, because [-2,-1] is not a subarray
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-This is more of a numbers task type than any of the array task types
-
-</details>
-
-<details>
-
-<summary>Hint</summary>
-
-Since the product of two negatives is a positive we should be fine _unless_ there is only one negative in the array making the entire product negative, like here: `[-8,5,3,1,6]`
-
-This is why we need to look for the biggest product first going left to right and then going right to left
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/missing-number-sorted-array/solution.js b/task-archieve/missing-number-sorted-array/solution.js
deleted file mode 100644
index 575ec38..0000000
--- a/task-archieve/missing-number-sorted-array/solution.js
+++ /dev/null
@@ -1,14 +0,0 @@
-function missingNumber(sortedNums) {
-
-    const len = sortedNums.length;
-
-    for (let i = 0; i < len; i++) {
-        const value = sortedNums[i];
-
-        if (value !== i) {
-            return i;
-        }
-    }
-
-    return len;
-}
diff --git a/task-archieve/missing-number-sorted-array/task.md b/task-archieve/missing-number-sorted-array/task.md
deleted file mode 100644
index 00bb511..0000000
--- a/task-archieve/missing-number-sorted-array/task.md
+++ /dev/null
@@ -1,49 +0,0 @@
-# Missing Number in Sorted Array
-
-Given a __sorted__ array `nums` containing `n` distinct numbers in the range `[0, n]`, return _the only number in the range that is missing from the array_
-
-__Example 1:__
-
-```
-Input: nums = [0,1,3]
-Output: 2
-Explanation: n = 3 since there are 3 numbers, so all numbers are in the range [0,3]. 2 is the missing number in the range since it does not appear in nums
-```
-
-__Example 2:__
-
-```
-Input: nums = [0,1]
-Output: 2
-Explanation: n = 2 since there are 2 numbers, so all numbers are in the range [0,2]. 2 is the missing number in the range since it does not appear in nums
-```
-
-__Example 3:__
-
-```
-Input: nums = [0,1,2,3,4,5,6,7,9]
-Output: 8
-Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0,9]. 8 is the missing number in the range since it does not appear in nums
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array Relation of Indexes and Values`__
-  <details>
-
-  <summary><i><b><code>Find the relation between the indexes and the values of the array</code></b></i></summary>
-
-    This is a classic task where the Approach is to look at and analyze the _relation_ between the indexes of the array, or the _relation_ between the values of the array, or the _relation_ of the indexes to the values of the array. Basically it could mean something like this: see what index (or value) the element of the array had and what index (or value) the element of the array should have in the solution and find the relation between these two
-
-    To solve this particular task you should merely see the _relation_ of the indexes to the values of the array in that each value in the array should be _equal_ to its index and if it is not then the index of the value is the missing number!
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/missing-number/solution.js b/task-archieve/missing-number/solution.js
deleted file mode 100644
index 93ac372..0000000
--- a/task-archieve/missing-number/solution.js
+++ /dev/null
@@ -1,14 +0,0 @@
-function missingNumber(nums) {
-    const len = nums.length;
-    let counter = 0;
-
-    for (let i = 0; i < len; i++) {
-        counter ^= nums[i];
-    }
-
-    for (let i = 0; i <= len; i++) {
-        counter ^= i;
-    }
-
-    return counter;
-}
diff --git a/task-archieve/missing-number/task.md b/task-archieve/missing-number/task.md
deleted file mode 100644
index e8e8686..0000000
--- a/task-archieve/missing-number/task.md
+++ /dev/null
@@ -1,74 +0,0 @@
-# Missing Number
-
-Given an __unsorted__ array `nums` containing `n` distinct numbers in the range `[0, n]`, return _the only number in the range that is missing from the array_
-
-__Example 1:__
-
-```
-Input: nums = [3,0,1]
-Output: 2
-Explanation: n = 3 since there are 3 numbers, so all numbers are in the range [0,3]. 2 is the missing number in the range since it does not appear in nums
-```
-
-__Example 2:__
-
-```
-Input: nums = [0,1]
-Output: 2
-Explanation: n = 2 since there are 2 numbers, so all numbers are in the range [0,2]. 2 is the missing number in the range since it does not appear in nums
-```
-
-__Example 3:__
-
-```
-Input: nums = [9,6,4,2,3,5,7,0,1]
-Output: 8
-Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0,9]. 8 is the missing number in the range since it does not appear in nums
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array Math Operation on All Elements`__
-  <details>
-
-  <summary><i><b><code>Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in the array</code></b></i></summary>
-
-    <!-- TODO: copy HashMap into a separate Approach SPOILER and link it to the Easy Task -->
-
-    We can assume this task to be a `Array and HashMap` Task Type and solve it this way using a HashMap:
-
-    ```js
-    function missingNumber(nums) {
-      const len = nums.length;
-      const hashMap = {};
-
-      for (const num of nums) {
-        hashMap[num] = true;
-      }
-
-      for (let i = 0; i < len; i++) {
-        if (!hashMap[i]) {
-          return i;
-        }
-      }
-
-      return len;
-    }
-    ```
-
-    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
-
-    But we can solve it even more effectively if we treat it as `Array Math Operation on All Elements` Task Type and apply XOR operation for all the elements of the array similar to [that task](../single-number/task.md) (we XOR `0` by all the elements of the array and save the result to some _counter_). However for this particular task you may need to apply the Math Operation (in our case XOR) _twice_: first for all the elements of the array, then to the same _counter_ for all the elements that _should be_ in the array (similar to the HashMap solution above). Thus you need to utilize the Approach _`Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in the array`_
-
-    __Note:__ this task can also be solved not only by doing a XOR but also by applying a Math formula for all the elements of the array. You can find this solution [here](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array)
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/most-water/assets/hint_water_trap_1.png b/task-archieve/most-water/assets/hint_water_trap_1.png
deleted file mode 100644
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diff --git a/task-archieve/most-water/solution.js b/task-archieve/most-water/solution.js
deleted file mode 100644
index 6dbe38b..0000000
--- a/task-archieve/most-water/solution.js
+++ /dev/null
@@ -1,46 +0,0 @@
-/**
- * @param {number[]} height
- * @return {number}
- */
-function maxArea(height) {
-    let max = 0;
-    let i = 0;
-    let j = height.length - 1;
-
-    while (i < j) {
-        const v1 = height[i];
-        const v2 = height[j];
-        const amount = Math.min(v1, v2) * (j - i);
-
-        if (max < amount) {
-            max = amount;
-        }
-
-        if (v1 <= v2) {
-            while (i < j) {
-                i++;
-                if (height[i] >= v2) {
-                    break;
-                }
-            }
-        }
-
-        if (v2 < v1) {
-            while(j > i) {
-                j--;
-                if (height[j] >= v1) {
-                    break;
-                }
-            }
-        }
-    }
-
-    return max;
-};
-
-[
-    [1,8,6,2,5,4,8,3,7], // 7 * 7 = 49
-    [3, 9, 3, 4, 7, 2, 12, 6] // 5 * 9 = 45
-].forEach((v) => {
-    console.log(`answer [${v}]`, maxArea(v));
-});
diff --git a/task-archieve/most-water/task.md b/task-archieve/most-water/task.md
deleted file mode 100644
index eda63ae..0000000
--- a/task-archieve/most-water/task.md
+++ /dev/null
@@ -1,80 +0,0 @@
-# Container With Most Water
-
-You are given an integer array `height` of length `n`. There are `n` vertical lines drawn such that the two endpoints of the `i'th` line are `(i, 0)` and `(i, height[i])`
-
-Find two lines that together with the x-axis form a container, such that the container contains the most water
-
-Return _the maximum amount of water a container can store_
-
-__Notice__ that you may not slant the container
-
-__Example 1:__
-
-<img width=400 src="./assets/question_11.jpg" />
-
-__Input:__ `height = [1,8,6,2,5,4,8,3,7]`
-
-__Output:__ `49`
-
-__Explanation:__ The above vertical lines are represented by array `[1,8,6,2,5,4,8,3,7]`. In this case, the max area of water (blue section) the container can contain is `49`
-
-__Example 2:__
-
-```
-Input: height = [1,1]
-Output: 1
-```
-
-<details>
-
-<summary>Hint 1</summary>
-
-The aim is to maximize the area formed between the vertical lines. The area of any container is calculated using the shorter line as length and the distance between the lines as the width of the rectangle
-
-`Area = length of shorter vertical line * distance between lines`
-
-We can definitely get the maximum width container as the outermost lines have the maximum distance between them. However, this container __might not be the maximum in size__ as one of the vertical lines of
-this container could be really short
-
-Contemplate this example:
-```
-[3, 9, 3, 4, 7, 2, 12, 6]
-```
-
-<img width=400 src="./assets/hint_water_trap_1.png" />
-<br />
-<img width=400 src="./assets/hint_water_trap_2.png" />
-
-</details>
-
-<details>
-
-<summary>Hint 2</summary>
-
-Start with the maximum width container and go to a shorter width container if there is a vertical line longer than the current containers shorter line. This way we are compromising on the width but we are looking forward to a longer length container
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Two Pointers One Array`__
-  <details>
-
-  <summary><i><b><code>Two pointers go from start and end until some condition</code></b></i></summary>
-
-    <!-- TODO: Find the longest distances between two elements of an array (like two a's in an array of letters) is your Easy Task for two pointers go from start and end until they meet -->
-
-    The Approach is that we create two pointers: the first pointer goes from the start of the array to the end of the array and the other pointer goes from the end of the array to the start of the array until both pointers meet
-
-    For the solution of this particular task your left pointer going from the start to the end and your right pointer going from the end to the start are going to form a rectangular space (distance between the pointers is width and the smaller value of either the left or the right pointer is height, see the picture in Hint). You need to note the size of that space formed by the left and right pointers and keep increasing either the left pointer or the right pointer depending on which one has the smaller height (which one points to the smaller value). This allows us to try and find the biggest rectangular space that can be formed by two pointers and thus attain the solution. The logic of this Task is somewhat related to geometry by its nature
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/move-zeroes/solution-2.js b/task-archieve/move-zeroes/solution-2.js
deleted file mode 100644
index 1ce5973..0000000
--- a/task-archieve/move-zeroes/solution-2.js
+++ /dev/null
@@ -1,17 +0,0 @@
-function moveZeroes(nums) {
-    let i = 0;
-    let k = 0;
-
-    while (i < nums.length) {
-        if (nums[i] !== 0) {
-            swap(nums, i, k);
-            k++;
-        }
-
-        i++;
-    }
-}
-
-function swap(array, i1, i2) {
-    ([array[i1], array[i2]] = [array[i2], array[i1]]);
-}
diff --git a/task-archieve/move-zeroes/solution.js b/task-archieve/move-zeroes/solution.js
deleted file mode 100644
index 5024397..0000000
--- a/task-archieve/move-zeroes/solution.js
+++ /dev/null
@@ -1,13 +0,0 @@
-function moveZeroes(nums) {
-    let i = 0;
-
-    for (const value of nums) {
-        if (value !== 0) {
-            nums[i++] = value;
-        }
-    }
-
-    while (i < nums.length) {
-        nums[i++] = 0;
-    }
-}
diff --git a/task-archieve/move-zeroes/task.md b/task-archieve/move-zeroes/task.md
deleted file mode 100644
index 11699e6..0000000
--- a/task-archieve/move-zeroes/task.md
+++ /dev/null
@@ -1,51 +0,0 @@
-# Move Zeroes
-
-Given an integer array `nums`, move all `0`'s to the end of it while maintaining the relative order of the non-zero elements
-
-__Note__ that you must do this in-place without making a copy of the array
-
-__Example 1:__
-
-```
-Input: nums = [0,1,0,3,12]
-Output: [1,3,12,0,0]
-```
-
-__Example 2:__
-
-```
-Input: nums = [0]
-Output: [0]
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`In-Place Swap and Overwrite`__
-  <details>
-
-  <summary><i><b><code>Overwrite elements of one or more arrays. The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer</code></b></i></summary>
-
-    Just like [this task](../remove-duplicates-sorted-array/task.md)
-
-  </details>
-
-  ---
-
-  <details>
-
-  <summary><i><b><code>Swap elements of one or more arrays. The first pointer goes through the array and upon some condition does two things at once: swaps the value at the first pointer with the value at the second pointer and increments the second pointer</code></b></i></summary>
-
-    Just like [this task](../remove-duplicates-sorted-array/task.md)
-
-    Swapping solution is kind of more interesting because it doesn't need to fill array with zeros after the second pointer once the first pointer has finished its pass of the array
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/partition-labels/image.png b/task-archieve/partition-labels/image.png
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diff --git a/task-archieve/partition-labels/solution-2.js b/task-archieve/partition-labels/solution-2.js
deleted file mode 100644
index 0cc7405..0000000
--- a/task-archieve/partition-labels/solution-2.js
+++ /dev/null
@@ -1,32 +0,0 @@
-/* Create HashMap and iterate the input array once again */
-
-function partitionLabels(s) {
-    const hashMap = {}; // maps letters to their last indexes
-    const result = [];
-
-    for (let i = 0; i < s.length; i++) {
-        const letter = s[i];
-
-        hashMap[letter] = i;
-    }
-
-    let prev = -1;
-    let maxLast = 0;
-
-    for (let i = 0; i < s.length; i++) {
-        const letter = s[i];
-
-        maxLast = Math.max(maxLast, hashMap[letter]);
-
-        if (i === maxLast) {
-            result.push(maxLast - prev);
-            prev = maxLast;
-        }
-    }
-
-    return result;
-}
-
-console.log(
-    partitionLabels('ababcbacadefegdehijhklij')
-);
diff --git a/task-archieve/partition-labels/solution.js b/task-archieve/partition-labels/solution.js
deleted file mode 100644
index 9a56096..0000000
--- a/task-archieve/partition-labels/solution.js
+++ /dev/null
@@ -1,54 +0,0 @@
-/* Create HashMap and iterate it */
-
-function partitionLabels(s) {
-    const hashMap = {};
-
-    for (let i = 0; i < s.length; i++) {
-        const letter = s[i];
-
-        if (letter in hashMap) {
-            hashMap[letter].push(i);
-        } else {
-            hashMap[letter] = [i];
-        }
-    }
-
-    const result = [];
-    let min = undefined;
-    let max = undefined;
-
-    for (const positions of Object.values(hashMap)) {
-        const firstPosition = positions[0];
-        const lastPosition = positions[positions.length - 1];
-
-        if (min === undefined && max === undefined) {
-            min = firstPosition;
-            max = lastPosition;
-            continue;
-        }
-
-        if (firstPosition > max) {
-            const diff = max - min + 1;
-
-            result.push(diff);
-
-            min = firstPosition;
-            max = lastPosition;
-
-            continue;
-        }
-
-        min = Math.min(min, firstPosition);
-        max = Math.max(max, lastPosition);
-    }
-
-    const finalDiff = max - min + 1;
-
-    result.push(finalDiff);
-
-    return result;
-}
-
-console.log(
-    partitionLabels('ababcbacadefegdehijhklij')
-);
diff --git a/task-archieve/partition-labels/task.md b/task-archieve/partition-labels/task.md
deleted file mode 100644
index ddd9085..0000000
--- a/task-archieve/partition-labels/task.md
+++ /dev/null
@@ -1,104 +0,0 @@
-# Partition Labels
-
-You are given a string `s`. We want to partition the string into as many parts as possible so that each letter appears in at most one part
-
-Note that the partition is done so that after concatenating all the parts in order, the resultant string should be `s`
-
-Return _a list of integers representing the size of these parts_
-
-__Example 1:__
-
-```
-Input: s = "ababcbacadefegdehijhklij"
-Output: [9,7,8]
-Explanation:
-The partition is "ababcbaca", "defegde", "hijhklij"
-This is a partition so that each letter appears in at most one part
-A partition like "ababcbacadefegde", "hijhklij" is incorrect, because it splits s into less parts
-```
-
-__Example 2:__
-
-```
-Input: s = "eccbbbbdec"
-Output: [10]
-```
-
-<details>
-
-<summary>Hint</summary>
-
-<!-- TODO: links to Easy Tasks -->
-This is a `Array and HashMap` Task Type. We have already seen an example of this Task Type when we were solving the ["Contiguous Array" task](../contiguous-array/task.md). But this task is a tar bit more complicated because in the ["Contiguous Array" task](../contiguous-array/task.md) we simply created a HashMap and it helped us solve the task even while we were iterating the input array (or the input data, to be precise) but in _this_ task we need to use a different and a bit more complex but very similar Approach to attain the solution. Here we are supposed to _create one or more HashMaps and then do something with all the new data_. Now what does this mean? It means that we need to iterate the array for the first time to create one or more HashMaps and then there are exactly two things that we can do:
-
-1. Iterate in some way the one or more HashMaps that we created during the first pass ( _Approach 1_ )
-
-2. Iterate the input array once again using the knowledge from the one or more HashMaps that we created during the first pass ( _Approach 2_ )
-
-And thus the solution should be revealed
-
-This Task is kind of interesting in that we can solve this Task using __either one or the other__ of the two Approaches mentioned above! In other words we can solve this task _either_ by iterating the HashMap that we create _or_ by iterating the input array once again using the HashMap
-
-<!-- TODO: move to the Easy Task: -->
-__Note:__ we say "array" here while the function accepts a string. The logic behind this is that we iterate the string the same way as an array and therefore the input string is like an array for us
-
-One thing is for sure, we need to create a HashMap where we map the letters to the indexes in the string at which those letters were encountered
-
-<img src=image.png width=550 />
-
-Then follow one of the two Approaches of the `Array and HashMap` Task Type in the "Task Type" spoiler
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array and HashMap`__
-  <details>
-
-  <summary><i><b><code>Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way</code></b></i></summary>
-
-    <!-- TODO: move abstract explanation of the Approach to an Easy Task -->
-
-    We need to create a HashMap like we have seen in Hint above
-
-    Then if you take a look at the _values_ of the HashMap we can see that the values represent _intervals_ indicating the first and last index where each letter can be found in the input string (in the arrays that make up the values of the HashMap the first value is the first index where the letter can be found and can be treated as the start of the _interval_ and the last value is the last index where the letter can be found and therefore can be treated as the end of the _interval_)
-
-    In order to solve the task we need to iterate the values of the HashMap and calculate the start and end of the contiguous interval that several letters make up when the intervals of several letter overlap and then find the intervals that don't overlap (start of the next non-overlapping interval should be greater than the end of the previous non-overlapping interval). The start of each non-overlapping interval determines the group of letters which we can separate from the rest as per the requirements of the task
-
-    For example the first 3 letters `a`, `b` and `c` form 3 intervals that do overlap: their intervals `[0,8]`, `[1,5]` and `[4,7]` respectively form a contiguous interval of __`[0,8]`__ (smallest letter index and greatest letter index). And if you look further the next four letters `d`, `e`, `f`, and `g` form 4 intervals that do overlap: their intervals `[9,14]`, `[10,15]`, `[11]` and `[13]` respectively form a contiguous interval of __`[9,15]`__ (smallest letter index and greatest letter index). And we can clearly see that the contiguous interval `[0,8]` of `a`, `b`, `c` does _not_ overlap with the contiguous interval `[9,15]` of `d`, `e`, `f`, `g` and therefore we can separate the letters `a`, `b`, `c` into one group and the letters `d`, `e`, `f`, `g` into another group. The lengths of their groups can be determined by the start and end of their contiguous intervals: from `0` to `8` = 9 letters for the first group, from `9` to `15` = 7 letters for the second group, and so on until we have counted all the letters
-
-  </details>
-
-  ---
-
-  <details>
-
-  <summary><i><b><code>Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)</code></b></i></summary>
-
-    <!-- TODO: move abstract explanation of the Approach to an Easy Task -->
-
-    This solution is a bit less obvious than the first one
-
-    First of all we need to create a HashMap like we have seen in Hint above
-
-    Then we need to iterate the input array once again and as we do that this time we should be able to get from the HashMap the _last_ index where any given letter we are looking at has been encountered. As we iterate we should thus keep a counter of the greatest _last_ index where the letters we have already iterated have been encountered. What is crucial to notice for solving this task in this way is that if we are able to find a letter whose index equals to the greatest _last_ index we have seen thus far then we can separate all the letters that we have seen before into a group as per the requirements of the task. Then it should likewise be somewhat trivial to calculate the _length_ of the group we have thus separated
-
-  </details>
-
-</details>
-
-<details>
-
-<summary>Similar Tasks</summary>
-
-<!-- TODO: move Similar Task to an Easy Task -->
-- [Top K Frequent Elements](../top-k-frequent-elements/task.md)
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/remove-duplicates-sorted-array/solution-2.js b/task-archieve/remove-duplicates-sorted-array/solution-2.js
deleted file mode 100644
index 1563b34..0000000
--- a/task-archieve/remove-duplicates-sorted-array/solution-2.js
+++ /dev/null
@@ -1,18 +0,0 @@
-const MAX_UNIQUE = 2;
-
-function removeDuplicates(nums) {
-    let k = 0;
-
-    for (let i = 0; i < nums.length; i++) {
-        if (k < MAX_UNIQUE || nums[i] > nums[k - MAX_UNIQUE]) {
-            swap(nums, i, k);
-            k++;
-        }
-    }
-
-    return k;
-}
-
-function swap(array, i1, i2) {
-    ([array[i1], array[i2]] = [array[i2], array[i1]]);
-}
diff --git a/task-archieve/remove-duplicates-sorted-array/solution.js b/task-archieve/remove-duplicates-sorted-array/solution.js
deleted file mode 100644
index 67a2dce..0000000
--- a/task-archieve/remove-duplicates-sorted-array/solution.js
+++ /dev/null
@@ -1,13 +0,0 @@
-const MAX_UNIQUE = 2;
-
-function removeDuplicates(nums) {
-    let k = 0;
-
-    for (const num of nums) {
-        if (k < MAX_UNIQUE || num > nums[k - MAX_UNIQUE]) {
-            nums[k++] = num;
-        }
-    }
-
-    return k;
-}
diff --git a/task-archieve/remove-duplicates-sorted-array/task.md b/task-archieve/remove-duplicates-sorted-array/task.md
deleted file mode 100644
index 396ffb9..0000000
--- a/task-archieve/remove-duplicates-sorted-array/task.md
+++ /dev/null
@@ -1,83 +0,0 @@
-# Remove Duplicates from Sorted Array
-
-Given an integer array `nums` sorted in __non-decreasing order__, remove some duplicates __in-place__ such that each unique element appears __at most twice__. The __relative order__ of the elements should be kept the __same__
-
-Since it is impossible to change the length of the array in some languages, you must instead have the result be placed in the __first part__ of the array `nums`. More formally, if there are `k` elements after removing the duplicates, then the first `k` elements of `nums` should hold the final result. It does not matter what you leave beyond the first `k` elements
-
-Return `k` _after placing the final result in the first_ `k` _slots of_ `nums`
-
-Do __not__ allocate extra space for another array. You must do this by __modifying the input array in-place__ with `O(1)` extra memory
-
-__Example 1:__
-
-```
-Input: nums = [1,1,1,2,2,3]
-Output: 5, nums = [1,1,2,2,3,_]
-Explanation: Your function should return k = 5, with the first five elements of nums being 1, 1, 2, 2 and 3 respectively.
-It does not matter what you leave beyond the returned k (hence they are underscores).
-```
-
-__Example 2:__
-
-```
-Input: nums = [0,0,1,1,1,1,2,3,3]
-Output: 7, nums = [0,0,1,1,2,3,3,_,_]
-Explanation: Your function should return k = 7, with the first seven elements of nums being 0, 0, 1, 1, 2, 3 and 3 respectively.
-It does not matter what you leave beyond the returned k (hence they are underscores).
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`In-Place Swap and Overwrite`__
-  <details>
-
-  <summary><i><b><code>Overwrite elements of one or more arrays. The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer</code></b></i></summary>
-
-    This is an in-place algorithm just like we have seen in [that task](../sort-letters-two-arrays/task.md) except instead of swapping the elements we are going to be _overwriting_ the elements of the array with new values
-
-    So in other words it is the same algorithm type as [that task](../sort-letters-two-arrays/task.md) except in this task we can see its counterpart type where we are overwriting elements of an array instead of swapping elements of an array
-
-    There are only two types of in-place algorithms: swapping and overwriting. Here is a quote from Wikipedia to prove my point:
-
-    """
-
-    _In computer science, an in-place algorithm is an algorithm which transforms input using no auxiliary data structure. However, a small amount of extra storage space is allowed for auxiliary variables. The input is usually overwritten by the output as the algorithm executes. An in-place algorithm updates its input sequence only through replacement or swapping of elements. An algorithm which is not in-place is sometimes called not-in-place or out-of-place._
-
-    """
-
-    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
-
-    <!-- TODO: expnanation of the logic of the solution -->
-
-  </details>
-
-  ---
-
-  <details>
-
-  <summary><i><b><code>Swap elements of one or more arrays. The first pointer goes through the array and upon some condition does two things at once: swaps the value at the first pointer with the value at the second pointer and increments the second pointer</code></b></i></summary>
-
-    We can also solve the task by following the same logic as the overwriting solution entails except instead of overwriting elements we are going to be swapping elements ([solution 2](./solution-2.js))
-
-    <!-- TODO: abstract explanation of the Approach TODO: The Approach is that ... -->
-
-    Sometimes the overwriting Approach doesn't fit because by overwriting we create duplicate elements in the array (which may be a problem if we want to iterate the same array again) but with swapping we don't, we merely swap. However the logic of the solution of this task doesn't care if we swap or overwrite so we can use either Approach
-
-  </details>
-
-</details>
-
-<details>
-
-<summary>Similar Tasks</summary>
-
-- [Move Zeroes](../move-zeroes/task.md)
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/reverse-array/solution-2.js b/task-archieve/reverse-array/solution-2.js
deleted file mode 100644
index 68f8fbb..0000000
--- a/task-archieve/reverse-array/solution-2.js
+++ /dev/null
@@ -1,18 +0,0 @@
-function reverse(array) {
-    const middle = Math.floor(array.length / 2);
-
-    for (let i = 0; i < middle; i++) {
-        const j = array.length - i - 1;
-
-        swap(array, i, j);
-    }
-
-    return array;
-}
-
-function swap(array, a, b) {
-    ([array[a], array[b]] = [array[b], array[a]]);
-}
-
-reverse([1,2,3,4]);
-reverse(['a','b','c']);
diff --git a/task-archieve/reverse-array/solution.js b/task-archieve/reverse-array/solution.js
deleted file mode 100644
index 4747e4e..0000000
--- a/task-archieve/reverse-array/solution.js
+++ /dev/null
@@ -1,12 +0,0 @@
-function reverse(array) {
-    const result = [];
-
-    for (let i = array.length - 1; i >= 0; i--) {
-        result.push(array[i]);
-    }
-
-    return result;
-}
-
-reverse([1,2,3,4]);
-reverse(['a','b','c']);
diff --git a/task-archieve/reverse-array/task.md b/task-archieve/reverse-array/task.md
deleted file mode 100644
index 0b1d2fe..0000000
--- a/task-archieve/reverse-array/task.md
+++ /dev/null
@@ -1,52 +0,0 @@
-# Reverse an Array
-
-You need to merely reverse an array of values
-
-__Example 1:__
-
-```
-Input: [1,2,3,4]
-Output: [4,3,2,1]
-```
-
-__Example 2:__
-
-```
-Input: ['a','b','c']
-Output: ['c','b','a']
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`One Pointer One Array`__
-  <details>
-
-  <summary><i><b><code>Iterate an array in reverse</code></b></i></summary>
-
-    The Approach is that we iterate an array _in reverse_ using one pointer. Per itatation we do something with the element of the array knowing its value and its index and so on
-
-    In order to solve this Task we can iterate the array in reverse, create a new array with all the elements in reverse order and return the new array. Applying this Approach we can create a solution that uses `O(n)` memory where `n` is the size of the array
-
-  </details>
-
----
-
-- __`In-Place Swap and Overwrite`__
-  <details>
-
-  <summary><i><b><code>Swap elements of one or more arrays. Swap one part of the array with the other part of the array</code></b></i></summary>
-
-    <!-- TODO: abstract explanation of the Approach: The Approach is that ... -->
-
-    In order to solve this Task we can separate the array in the middle into two equal parts. Then we swap the elements of the first part with the elements of the other part. For example if we use pointer `i` to iterate the array then we swap element `i` (element from the first part of the array) with element `length - i` (element from the other part of the array). Applying this Approach we can create a solution that uses `O(1)` memory which is good
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/single-number/solution.js b/task-archieve/single-number/solution.js
deleted file mode 100644
index 2c8d89a..0000000
--- a/task-archieve/single-number/solution.js
+++ /dev/null
@@ -1,9 +0,0 @@
-function singleNumber(nums) {
-    let xor = 0;
-
-    for (const num of nums) {
-        xor ^= num;
-    }
-
-    return xor;
-}
diff --git a/task-archieve/single-number/task.md b/task-archieve/single-number/task.md
deleted file mode 100644
index cc283a9..0000000
--- a/task-archieve/single-number/task.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# Single Number
-
-Given a non-empty _unsorted_ array of integers `nums`, every element appears twice except for one. Find that missing number
-
-You must implement a solution with a linear runtime complexity and use only constant extra space
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array Math Operation on All Elements`__
-  <details>
-
-  <summary><i><b><code>Do math or bitwise operation on all the elements of the array</code></b></i></summary>
-
-    <!-- TODO: copy HashMap into a separate Approach SPOILER and link it to the Easy Task -->
-
-    We can assume this task to be a `Array and HashMap` Task Type and solve it this way: as we iterate through the `nums` array we store the elements encountered and check if we find them again while iteration continues and the element we didn't find twice is the missing element:
-
-    ```js
-    function singleNumber(nums) {
-      const hashMap = {};
-
-      for (const num of nums) {
-        if (num in hashMap) {
-          delete hashMap[num];
-        } else {
-          hashMap[num] = true;
-        }
-      }
-
-      return Object.keys(hashMap)[0];
-    }
-    ```
-
-    But this HashMap approach uses `O(n)` extra memory. We can optimize it if we treat this task _not_ as a `Array and HashMap` Task Type but rather as `Array Math Operation on All Elements` Task Type
-
-    <!-- TODO: refactor abstract explanation of the Approach TODO: The Approach is that ... -->
-
-    `Array Math Operation on All Elements` Task Type is the type of task where we do some Math operation on all elements of the array and the result of this operation on all the elements is the result of solving the task. For example we saw the [Find a Missing Number in an Unsorted Array](../../2\)%20Task%20Challanges.md#23-find-a-missing-number-in-an-unsorted-array) task earlier. In order to solve that task we summed all the elements of the array and then extracted the sum we got from the sum we wanted and were thus able to find the missing element using constant `O(1)` extra memory
-
-    Let's see how we can use the Approach _`Do math or bitwise operation on all the elements of the array`_ of the `Array Math Operation on All Elements` Task Type to solve this Task
-
-    XOR of any two numbers gives the difference of bits as `1` and the same bits as `0`. Thus using this we get `1 ^ 1 == 0` because the same numbers have the same bits. In order to find the missing element we simply need to XOR all the elements of the array
-
-    This way we will always get the single missing element because all the same numbers will evaluate to `0` and `0 ^ missing_number = missing_number`
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/sort-colors/solution-2.js b/task-archieve/sort-colors/solution-2.js
deleted file mode 100644
index d539eea..0000000
--- a/task-archieve/sort-colors/solution-2.js
+++ /dev/null
@@ -1,26 +0,0 @@
-/* Dutch National Flag algorithm */
-
-function sortColors(nums) {
-    let s = 0;
-    let e = nums.length - 1;
-    let mid = 0;
-
-    while (mid <= e) {
-        if (nums[mid] === 0) {
-            ([nums[mid], nums[s]] = [nums[s], nums[mid]]);
-            mid++;
-            s++;
-        } else if (nums[mid] === 1) {
-            mid++;
-        } else {
-            ([nums[mid], nums[e]] = [nums[e], nums[mid]]);
-            e--;
-        }
-    }
-
-    return nums;
-}
-
-console.log(
-    sortColors([2,0,2,1,1,0])
-);
diff --git a/task-archieve/sort-colors/solution.js b/task-archieve/sort-colors/solution.js
deleted file mode 100644
index 0e7f8c0..0000000
--- a/task-archieve/sort-colors/solution.js
+++ /dev/null
@@ -1,42 +0,0 @@
-function sortColors(nums) {
-    let numOfZeros = 0;
-    let numOfOnes = 0;
-    let numOfTwos = 0;
-
-    for (const num of nums) {
-        if (num === 0) {
-            numOfZeros++;
-        }
-
-        if (num === 1) {
-            numOfOnes++;
-        }
-
-        if (num === 2) {
-            numOfTwos++;
-        }
-    }
-
-    let i = 0;
-
-    while (i < nums.length) {
-        if (numOfZeros > 0) {
-            nums[i] = 0;
-            numOfZeros--;
-        } else if (numOfOnes > 0) {
-            nums[i] = 1;
-            numOfOnes--;
-        } else if (numOfTwos) {
-            nums[i] = 2;
-            numOfTwos--;
-        }
-
-        i++;
-    }
-
-    return nums;
-}
-
-console.log(
-    sortColors([2,0,2,1,1,0])
-);
diff --git a/task-archieve/sort-colors/task.md b/task-archieve/sort-colors/task.md
deleted file mode 100644
index 77f92a9..0000000
--- a/task-archieve/sort-colors/task.md
+++ /dev/null
@@ -1,88 +0,0 @@
-# Sort Colors
-
-Given an array `nums` with `n` objects colored red, white, or blue, sort them _in-place_ so that objects of the same color are adjacent, with the colors in the order: red, white, and blue
-
-We will use the integers `0`, `1` and `2` to represent the color red, white, and blue, respectively
-
-You must solve this problem without using the library's `sort` function
-
-__Example 1:__
-
-```
-Input: nums = [2,0,2,1,1,0]
-Output: [0,0,1,1,2,2]
-```
-
-__Example 2:__
-
-```
-Input: nums = [2,0,1]
-Output: [0,1,2]
-```
-
-<details>
-
-<summary>Hint</summary>
-
-This is a Task Type for in-place swap and overwrite of the array. We have already seen an example where we need to do in-place _swap_ [here](../sort-letters-two-arrays/task.md) and an example where we need to do in-place _overwrite_ [here](../remove-duplicates-sorted-array/task.md)
-
-The beauty of this task is that it can be solved _both_ ways either by _swapping_ elements or _overwriting_ elements of the array
-
-The solution that entails overwriting is less optimized than the swapping type of solution but the swapping type of solution is less obvious because it uses the "Dutch National Flag" algorithm
-
-You can find the overwriting type of solution and the swapping type of solution by studying the corresponding Approaches in the "Task Type" spoiler
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`In-Place Swap and Overwrite`__
-  <details>
-
-  <summary><i><b><code>Overwrite elements of one or more arrays. Iterate the array and get some information. Then based on this information iterate the array again overwriting its values</code></b></i></summary>
-
-    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
-    <!-- TODO: there can be an Easy Task (already is in my Interview Prep tasks) -->
-    The solution that entails overwriting elements of the array is a two-pass algorithm using counting sort
-
-    Iterate the array counting number of `0`s, `1`s, and `2`s. Then overwrite the array with the _total_ number of `0`s, then `1`s and followed by `2`s
-
-  </details>
-
-  ---
-
-  <details>
-
-  <summary><i><b><code>Swap elements of one or more arrays. Dutch National Flag algorithm</code></b></i></summary>
-
-    The Approach that entails swapping elements of the array is a famous Dutch National Flag alogrithm. The Dutch National Flag algorithm is a sorting algorithm that partitions an array containing elements of three distinct values (for example, `0`s, `1`s, and `2`s) into three parts, in a single traversal of the array. The algorithm is named after the Dutch national flag, which has three horizontal stripes of red, white, and blue
-
-    The algorithm uses three pointers (let's call them `s`, `e` and `n` respectively) to partition the array into three sections:
-
-    1. `A[0...s-1]` contains all elements that are smaller than the middle value (in the example above, the `0`s)
-
-    2. `A[s...e]` contains all elements that are equal to the middle value (in the example above, the `1`s)
-
-    3. `A[e+1...n-1]` contains all elements that are larger than the middle value (in the example above, the `2`s)
-
-    Initially, the pointer `s` points to the beginning of the array, and the pointer `e` points to the end of the array. A third pointer, `i`, starts at the beginning of the array and moves forward one element at a time
-
-    The algorithm continues until the `i` pointer reaches the end of the array. If the element at `A[i]` is smaller than the middle value, it is swapped with the element at `A[s]`, and both pointers `i` and `s` are incremented. If the element at `A[i]` is larger than the middle value, it is swapped with the element at `A[e]`, and the pointer `e` is decremented. If the element at `A[i]` is equal to the middle value, the pointer `i` is incremented
-
-    This algorithm works because, at any point in time during the while loop, the following invariants hold true:
-
-    1. All elements before `s` are smaller than the middle value
-    2. All elements after `e` are larger than the middle value
-    3. All elements between `s` and `i-1` are equal to the middle value
-    4. All elements between `i` and `e` are unprocessed
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/sort-letters-two-arrays/solution.js b/task-archieve/sort-letters-two-arrays/solution.js
deleted file mode 100644
index 363b1cf..0000000
--- a/task-archieve/sort-letters-two-arrays/solution.js
+++ /dev/null
@@ -1,18 +0,0 @@
-function swap(array, i1, i2) {
-    ([array[i1], array[i2]] = [array[i2], array[i1]]);
-}
-
-function solution(letters, indexes) {
-    /**
-     * for simplicity we use Bubble Sort here, but in real interview please use Quick Sort
-     * see ./snippets/algorithms/quick-sort.html
-     */
-    for (let i = 1; i < indexes.length; i++) {
-        let j = i;
-        while (indexes[j] < indexes[j - 1] && j > 0) {
-            swap(indexes, j, j - 1);
-            swap(letters, j, j - 1);
-            j--;
-        }
-    }
-}
diff --git a/task-archieve/sort-letters-two-arrays/task.md b/task-archieve/sort-letters-two-arrays/task.md
deleted file mode 100644
index bf53379..0000000
--- a/task-archieve/sort-letters-two-arrays/task.md
+++ /dev/null
@@ -1,84 +0,0 @@
-# Sort letters from one array via another array
-
-We have 2 arrays with a length equal to `n`: one filled with letters, the other filled with numbers (the number are from 0 to n-1)
-
-You gotta swap letters _in place_ in the 1st array such that the letters at indexes `i` from the 1st array correspond to numbers at indexes `i` from the 2nd array
-
-For example:
-
-```
-[D A B E C] [3 0 1 4 2] -> [A B C D E]
-```
-
-So we look at 0'th element: it is `D` in the 1st array and `3` in the 2nd array, therefore `D` should be at index `3` in the result array and so on for each letter, `A` to `0`, `B` to `1`, `E` to `4` and `C` to `2`
-
-The phrase "in place" in the extract above means that we don't create an intermediary array to return it, thus we gotta swap elements of the 1st array to get the result array
-
-You also have a memory constraint here: `O(1)` (it means that the more elements the arrays have should not icrease memory consumption, this is also why we have to swap elements of the arrays _in place_, without creating intermediary arrays)
-
-Note that you can mutate both of the arrays
-
-<details>
-
-<summary>Hint 1</summary>
-
-We could jump over the elements of the 2nd array like so:
-
-- first element is `3`, therefore go to element at index `3`
-- at index `3` we have `4`, therefore go to element at index `4`
-- at index `4` we have `2`, therefore go to element at index `2`
-- at index `2` we have `1`, therefore go to element at index `1`
-- at index `1` we have `0`, therefore go to element at index `0`
-- we have iterated the 2nd array
-
-If we do it like that also swapping the elements along the way we will indeed be able to match the arrays above but the problem here is that there can be a situation where you can be caught in a loop and therefore skip some part of the array, here is an example:
-
-```
-[D C B A E] [3 2 1 0 4]
-3 -> 0 -> 3 -> ...
-```
-
-Therefore such solution, though clever, does not suit the requirements
-
-</details>
-
-<details>
-
-<summary>Hint 2</summary>
-
-To solve this task you need to simply _sort_ the elements of the 2nd array (the numbers) and every time you swap the elements of the 2nd array you need to also likewise swap the same elements of the 1st array (the letters). As a result you are going to get the letters in the right order sorted thanks to the 2nd array
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`In-Place Swap and Overwrite`__
-  <details>
-
-  <summary><i><b><code>Swap elements of one or more arrays</code></b></i></summary>
-
-    We sort in place the 2nd array but together with the elements of the 2nd array we also swap the elements of the 1st array. There is a whole type of tasks that can be solved by swapping the elements of the array in a clever way (or in our case we swap the elements of the two arrays simultaneously)
-
-    Here is another example of a solution for these kind of tasks with `O(n)` complexity though it doesn't solve this particular task:
-
-    ```js
-    function sort(array, order) {
-      for (var i = 0; i < order.length; i++) {
-        order[i] = array[order[i]];
-      }
-      return order;
-    }
-    ```
-
-    __Note:__ this example of a solution above (which we said doesn't solve this particular task, the reason for it is what we saw in Hint 1) doesn't swap but rather overwrites elements of the array. The Approach we are studying in this particular task is called _`Swap elements of one or more arrays`_. To solve this particular task you need to swap elements instead of overwriting them and for the overwrite Approach of this Task Type feel free to check out the [sibling task](../remove-duplicates-sorted-array/task.md)
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/summary-ranges/solution.js b/task-archieve/summary-ranges/solution.js
deleted file mode 100644
index b10ec76..0000000
--- a/task-archieve/summary-ranges/solution.js
+++ /dev/null
@@ -1,25 +0,0 @@
-function summaryRanges(nums) {
-    const result = [];
-    let left = 0;
-    let right = 0;
-
-    while (right < nums.length) {
-        if (nums[right] !== nums[right + 1] - 1) {
-            result.push(
-                left === right
-                    ? nums[right].toString()
-                    : `${nums[left]}->${nums[right]}`
-            );
-
-            left = right + 1;
-        }
-
-        right++;
-    }
-
-    return result;
-}
-
-console.log(
-    summaryRanges([0,1,2,4,5,7])
-);
diff --git a/task-archieve/summary-ranges/task.md b/task-archieve/summary-ranges/task.md
deleted file mode 100644
index 98c6e6f..0000000
--- a/task-archieve/summary-ranges/task.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# Summary Ranges
-
-You are given a __sorted unique__ integer array `nums`
-
-A __range__ `[a,b]` is the set of all integers from `a` to `b` (inclusive)
-
-Return _the **smallest sorted** list of ranges that **cover all the numbers in the array exactly**_. That is, each element of `nums` is covered by exactly one of the ranges, and there is no integer `x` such that `x` is in one of the ranges but not in `nums`
-
-Each range `[a,b]` in the list should be output as:
-
-- `"a->b"` if `a != b`
-- `"a"` if `a == b`
-
-__Example 1:__
-
-```
-Input: nums = [0, 1, 2, 4, 5, 7]
-Output: ["0->2", "4->5", "7"]
-Explanation: The ranges are:
-[0,2] --> "0->2"
-[4,5] --> "4->5"
-[7,7] --> "7"
-```
-
-__Example 2:__
-
-```
-Input: nums = [0, 2, 3, 4, 6, 8, 9]
-Output: ["0", "2->4", "6", "8->9"]
-Explanation: The ranges are:
-[0,0] --> "0"
-[2,4] --> "2->4"
-[6,6] --> "6"
-[8,9] --> "8->9"
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Sliding Window`__
-  <details>
-
-  <summary><i><b><code>Sliding Window. Dynamic size. Left meets right sometimes</code></b></i></summary>
-
-    The Approach _`Sliding Window. Dynamic size. Left meets right sometimes`_ used in this Task has one intricacy different from the Approach _`Sliding Window. Dynamic size`_ which we have learnt in [this task](../best-time-to-buy-and-sell-stock/task.md) in that the left pointer may _meet_ the right pointer sometimes (meaning when they meet the left and the right pointers both look at the same element of the array). This intricacy is utilized here to get a really elegant solution
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/task-type-summary/README.md b/task-archieve/task-type-summary/README.md
deleted file mode 100644
index 2b721ce..0000000
--- a/task-archieve/task-type-summary/README.md
+++ /dev/null
@@ -1,18 +0,0 @@
-# Task Type Summary
-
-> :bulb: Feel free to revise all the algorithm examples under the spoiler "Code". There are mysterious functions called `logic()` and `condition()`. These functions are where the business logic of a particular Task lives. Also note that not every Approach can be given a "Code" section spoiler (it is very rare but it happens), for such Approaches solve the corresponding Tasks
-
-> :bulb: `approach2(...)` means that the posssibilities of further actions are so vast that it is surely going to be some other Approach used in that place thereby making the solution a combination of two Approaches instead of just one (and the immediate business logic of the Task of course). The same is if you encounter `approach3(...)` then it is going to be a combination of 3 Approaches and so forth
-
-> :bulb: One should also consider using recursion especially with simple Approaches
-
-## Contents
-
-- [Array](./array.md)
-- [Data Structures](./data-structures.md)
-- [Algorithms](./algorithms.md)
-
----
-
-| [:arrow_left: back](../README.md) |
-| :---: |
diff --git a/task-archieve/task-type-summary/algorithms.md b/task-archieve/task-type-summary/algorithms.md
deleted file mode 100644
index 32e9180..0000000
--- a/task-archieve/task-type-summary/algorithms.md
+++ /dev/null
@@ -1,339 +0,0 @@
-# Task Type Summary Algorithms
-
-## __`Check if Puzzle is Solvable`__
-
-1. __*`Call the function recursively and see if it solves the puzzle`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(game) {
-        for (let i = 0; i < game[0].length; i++) {
-            for (let j = 0; j < game.length; j++) {
-                logic(game[j][i]);
-
-                if (approach(game)) {
-                    return true;
-                }
-            }
-        }
-
-        return false;
-    }
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`Numbers Math`__
-
-1. __*`Use Prime Numbers`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach() {
-        logic(getPrimes, isPrime);
-    }
-
-    function getPrimes(limit = 0) {
-        const primes = [];
-
-        if (limit === 0) {
-            return primes;
-        }
-
-        primes.push(2);
-
-        for (let i = 3; i <= limit; i++) {
-            let found = true;
-
-            for (let j = 0; j < primes.length; j++) {
-                if (i % primes[j] === 0) {
-                    found = false;
-                    break;
-                }
-            }
-
-            if (found) {
-                primes.push(i);
-            }
-        }
-
-        return primes;
-    }
-
-    function isPrime(num) {
-        if (num <= 1) {
-            return false;
-        }
-
-        for (let i = 2; i <= Math.sqrt(num); i++) {
-            if (num % i === 0) {
-                return false;
-            }
-        }
-
-        return true;
-    }
-    ```
-
-    __Output:__ `2`, `3`, `5`, `7`, `11`, `13`, `17`, `19`, `23`, `29`, `31`, `37`, `41`, `43`, `47`, ...
-
-    ---
-
-    </details>
-
-2. __*`Use Fibonacci Sequence`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach() {
-        logic(fibonacci, getFibonacci);
-    }
-
-    function fibonacci(length = 0) {
-        if (length === 0) {
-            return [];
-        }
-
-        if (length === 1) {
-            return [0];
-        }
-
-        const nums = [0, 1];
-
-        if (length === 2) {
-            return nums;
-        }
-
-        for (let i = 2; i < length; i++) {
-            nums[i] = nums[i - 1] + nums[i - 2];
-        }
-
-        return nums;
-    }
-
-    function getFibonacci(position = 0) {
-        if (position <= 1) {
-            return position;
-        }
-
-        let prev = 1;
-        let current = 2;
-        let i = 3;
-
-        while (i < position) {
-            const sum = prev + current;
-
-            prev = current;
-            current = sum;
-
-            i++;
-        }
-
-        return current;
-    }
-    ```
-
-    __Output:__ `0`, `1`, `1`, `2`, `3`, `5`, `8`, `13`, `21`, `34`, ...
-
-    ---
-
-    </details>
-
----
-
-## __`Backtracking`__
-
-1. __*`Get all permutations of values of an array in any order`*__
-    <details>
-
-    <summary>Code</summary>
-
-    Call the function recursively taking out each element out of the array per iteration
-
-    ```js
-    function approach(array) {
-        const permutations = [];
-
-        if (array.length === 1) { // recursion exit condition
-            return [[array[0]]];
-        }
-
-        for (let i = 0; i < array.length; i++) {
-            const picked = [array[i]];
-            const rest = approach(
-                array.filter((_value, index) => index !== i)
-            );
-
-            for (let j = 0; j < rest.length; j++) {
-                const next = [...picked, ...rest[j]];
-
-                permutations.push(next);
-            }
-        }
-
-        logic(permutations);
-
-        return permutations;
-    }
-    ```
-
-    __Input:__ `[1, 2, 3]`
-
-    __Output:__ `[ 1, 2, 3 ]`, `[ 1, 3, 2 ]`, `[ 2, 1, 3 ]`, `[ 2, 3, 1 ]`, `[ 3, 1, 2 ]`, `[ 3, 2, 1 ]`
-
-    ---
-
-    </details>
-
-2. __*`Get all unique combinations of values of an array in any order`*__
-    <details>
-
-    <summary>Code</summary>
-
-    Depth-first Search of Array
-
-    ```js
-    function approach(array) {
-        const combinations = [];
-
-        function dfs(current, offset) {
-            combinations.push(current);
-
-            logic(current);
-
-            if (offset === array.length) {
-                return;
-            }
-
-            for (let i = offset; i < array.length; i++) {
-                dfs([...current, array[i]], i + 1);
-            }
-        }
-
-        dfs([], 0);
-
-        logic(combinations);
-    }
-    ```
-
-    __Input:__ `[1, 2, 3]`
-
-    __Output:__ `[]`, `[1]`, `[2]`, `[3]`, `[1,2]`, `[1,3]`, `[2,3]`, `[1,2,3]`
-
-    ---
-
-    </details>
-
-3. __*`Get all unique combinations of values of many arrays in any order`*__
-    <details>
-
-    <summary>Code</summary>
-
-    Adapt the Approach _`Merge two Queues of prefixes`_
-
-    __*queue:*__
-
-    ```js
-    function approach(...arrays) {
-        let queue = [[]];
-
-        for (const array of arrays) {
-            const currentQueue = [];
-
-            while (queue.length > 0) {
-                const currentArray = queue.shift();
-
-                for (const element of array) {
-                    currentQueue.push([...currentArray, element]);
-                }
-            }
-
-            queue = currentQueue;
-        }
-
-        logic(queue);
-    }
-    ```
-
-    __*recursion:*__
-
-    ```js
-    function approach(...arrays) {
-        const result = [];
-
-        function backtrack(prefix, offset) {
-            if (offset === arrays.length) {
-                result.push(prefix);
-                return;
-            }
-
-            const array = arrays[offset];
-
-            for (const value of array) {
-                backtrack([...prefix, value], offset + 1);
-            }
-        }
-
-        backtrack([], 0);
-
-        logic(result);
-    }
-    ```
-
-    __Input:__ `['1', '2', '3']`, `['a', 'b', 'c']`, `['*', '#', '$']`
-
-    __Output:__
-    ```
-    [ 1, 'a', '*' ]
-    [ 1, 'a', '#' ]
-    [ 1, 'a', '$' ]
-    [ 1, 'b', '*' ]
-    [ 1, 'b', '#' ]
-    [ 1, 'b', '$' ]
-    [ 1, 'c', '*' ]
-    [ 1, 'c', '#' ]
-    [ 1, 'c', '$' ]
-    [ 2, 'a', '*' ]
-    [ 2, 'a', '#' ]
-    [ 2, 'a', '$' ]
-    [ 2, 'b', '*' ]
-    [ 2, 'b', '#' ]
-    [ 2, 'b', '$' ]
-    [ 2, 'c', '*' ]
-    [ 2, 'c', '#' ]
-    [ 2, 'c', '$' ]
-    [ 3, 'a', '*' ]
-    [ 3, 'a', '#' ]
-    [ 3, 'a', '$' ]
-    [ 3, 'b', '*' ]
-    [ 3, 'b', '#' ]
-    [ 3, 'b', '$' ]
-    [ 3, 'c', '*' ]
-    [ 3, 'c', '#' ]
-    [ 3, 'c', '$' ]
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`Tabulation`__
-
-<!-- TODO: here: Dynamic Programming -->
-
----
-
-| [:arrow_left: back](./README.md) |
-| :---: |
diff --git a/task-archieve/task-type-summary/array.md b/task-archieve/task-type-summary/array.md
deleted file mode 100644
index 0808993..0000000
--- a/task-archieve/task-type-summary/array.md
+++ /dev/null
@@ -1,734 +0,0 @@
-# Task Type Summary Array
-
-## __`One Pointer One Array`__
-
-1. __*`Iterate an array`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        for (let i = 0; i < array.length; i++) {
-            logic(array[i], i);
-        }
-    }
-    ```
-
-    __Input:__ `[1, 2, 3]`
-
-    __Output:__ value: `1`, `2`, `3`, index: `0`, `1`, `2`
-
-    ---
-
-    </details>
-
-2. __*`Iterate an array in reverse`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        for (let i = array.length - 1; i >= 0; i--) {
-            logic(array[i], i);
-        }
-    }
-    ```
-
-    __Input:__ `[1, 2, 3]`
-
-    __Output:__ value: `3`, `2`, `1`, index: `2`, `1`, `0`
-
-    ---
-
-    </details>
-
-3. __*`Use values as indexes`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        for (let i = 0; i < array.length; i++) {
-            logic(array[array[i]]);
-        }
-    }
-    ```
-
-    __Input:__ `[1, 2, 3]`
-
-    __Output:__ `2`, `3`, `undefined`
-
-    ---
-
-    </details>
-
-4. __*`Sort the array and do something with it`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        const sorted = array.sort(logic);
-
-        approach2(sorted);
-    }
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`Two Pointers One Array`__
-
-1. __*`Two pointers go from start and end until some condition`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let i = 0;
-        let j = array.length - 1;
-
-        while (i < j) {
-            logic(array[i], array[j]);
-
-            if (condition()) {
-                i++;
-            } else {
-                j--;
-            }
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`Two Pointers Two Arrays`__
-
-1. __*`Two pointers of two arrays increase like in Merge Sort`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array1, array2) {
-        let i = 0;
-        let j = 0;
-
-        while (i < array1.length && j < array2.length) {
-            if (condition()) {
-                logic(array1[i++]);
-            } else {
-                logic(array2[j++]);
-            }
-        }
-
-        while (i < array1.length) {
-            logic(array1[i++]);
-        }
-
-        while (j < array1.length) {
-            logic(array2[j++]);
-        }
-    }
-    ```
-
-    __Input:__ `[1, 2, 3]`, `['a', 'b', 'c']`
-
-    __Output:__ intermingled values of both arrays
-
-    ---
-
-    </details>
-
----
-
-## __`Sliding Window`__
-
-1. __*`Sliding Window. Fixed size`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let i = 0;
-
-        for (i = 0; i < WINDOW_SIZE; i++) {
-            logic(array[i]);
-        }
-
-        while (i < array.length) {
-            logic(array[i - WINDOW_SIZE], array[i]);
-            i++;
-        }
-    }
-    ```
-
-    __Input:__ `WINDOW_SIZE = 3`, `[1, 2, 3, 4, 5, 6, 7]`
-
-    __Output:__ `1, 4`, `2, 5`, `3, 6`, `4, 7`
-
-    ---
-
-    </details>
-
-2. __*`Sliding Window. Dynamic size`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let i = 0;
-        let j = 1;
-
-        while (j < array.length) {
-            logic(array[i], array[j]);
-
-            while (i < j - 1) {
-                if (condition()) {
-                    i++;
-                }
-            }
-
-            while (condition() && j < array.length) {
-                j++;
-            }
-        }
-    }
-    ```
-
-    __Input:__ `[1, 2, 3, 4, 5, 6, 7]`
-
-    __Output:__ `1, 2`, `1, 4`, `3, 4`, `3, 5`, `4, 5`, `5, 6`, `5, 7`, `6, 7`
-
-    ---
-
-    </details>
-
-3. __*`Sliding Window. Dynamic size. Left meets right sometimes`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let i = 0;
-        let j = 0;
-
-        while (j < array.length) {
-            logic(array[i], array[j]);
-
-            while (i < j) {
-                if (condition()) {
-                    i++;
-                }
-            }
-
-            while (condition() && j < array.length) {
-                j++;
-            }
-        }
-    }
-    ```
-
-    __Input:__ `[1, 2, 3, 4, 5, 6, 7]`
-
-    __Output:__ `1, 1`, `1, 2`, `2, 2`, `2, 3`, `3, 3`, `3, 5`, `5, 5`, `5, 6`, `6, 7`, `7, 7`
-
-    ---
-
-    </details>
-
----
-
-## __`Array and Counter`__
-
-1. __*`Iterate an array keeping one or more counters`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let counter;
-
-        for (let i = 0; i < array.length; i++) {
-            logic(array, i, counter);
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
-2. __*`Iterate an array incrementing and decrementing one or more counters`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let counter = 0;
-
-        for (let i = 0; i < array.length; i++) {
-            if (condition()) {
-              counter++;
-            }
-
-            if (condition()) {
-              counter--;
-            }
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
-3. __*`Iterate an array keeping one or more max or min counters`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let counter;
-        let max = -Infinity;
-        let min = Infinity;
-
-        for (let i = 0; i < array.length; i++) {
-            const newMax = logic(array, i, counter);
-            const newMin = logic(array, i, counter);
-
-            max = Math.max(newMax, max);
-            min = Math.min(newMin, min);
-        }
-
-        logic(max, min);
-    }
-    ```
-
-    ---
-
-    </details>
-
-4. __*`Iterate an array keeping one or more previous counters`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let prev;
-        let counter;
-
-        for (let i = 0; i < array.length; i++) {
-            logic(array, i, counter);
-
-            if (condition()) {
-              prev = counter;
-              counter = logic();
-            }
-        }
-
-        logic(prev, counter);
-    }
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`Array and HashMap`__
-
-1. __*`Create and use one or more HashMaps as you iterate an array`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        const hashMap = {};
-
-        for (let i = 0; i < array.length; i++) {
-            logic(array[i], i, hashMap);
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
-2. __*`Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        const hashMap = {};
-
-        for (let i = 0; i < array.length; i++) {
-            logic(array[i], i, hashMap);
-        }
-
-        logic(hashMap, Object.entries(hashMap));
-    }
-    ```
-
-    ---
-
-    </details>
-
-3. __*`Create one or more HashMaps and iterate the array again using the HashMap (the HashMaps)`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        const hashMap = {};
-
-        for (let i = 0; i < array.length; i++) {
-            logic(array[i], i, hashMap);
-        }
-
-        for (let i = 0; i < array.length; i++) {
-            logic(array[i], i, hashMap);
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`Array and Stack or Queue`__
-
-1. __*`Create and use one or more Stacks as you iterate an array`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        const stack = [];
-
-        for (let i = 0; i < array.length; i++) {
-            logic(array[i], i, stack); // stack.push() stack.pop()
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
-2. __*`Create and use one or more Queues as you iterate an array`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        const queue = [];
-
-        for (let i = 0; i < array.length; i++) {
-            logic(array[i], i, queue); // queue.push() queue.shift()
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`Array Relation of Indexes and Values`__
-
-1. __*`Find the relation between the indexes of the array`*__
-2. __*`Find the relation between the values of the array`*__
-3. __*`Find the relation between the indexes and the values of the array`*__
-
----
-
-## __`Array Math Operation on All Elements`__
-
-1. __*`Do math or bitwise operation on all the elements of the array`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let counter = 0;
-
-        for (const value of array) {
-            counter += value; // math
-            // or:
-            counter ^= value; // bitwise
-        }
-
-        logic(counter);
-    }
-    ```
-
-    ---
-
-    </details>
-
-2. __*`Do math or bitwise operation first on all the elements of the array and then to the same counter on all the elements that should be in the array`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let counter = 0;
-
-        for (const value of array) {
-            counter += value; // math
-            // or:
-            counter ^= value; // bitwise
-        }
-
-        for (let i = 0; i <= array.length; i++) {
-            counter += i; // math
-            // or:
-            counter ^= i; // bitwise
-        }
-
-        logic(counter);
-    }
-    ```
-
-    ---
-
-    </details>
-
-3. __*`Do math or bitwise operation first on one part of the array and then on another part of of the array`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        let i;
-        let partsSeparator = logic(); // index of array
-
-        let counter1 = 0;
-        let counter2 = 0;
-
-        for (i = 0; i < partsSeparator; i++) {
-            const value = array[i];
-
-            counter1 += value; // math
-            // or:
-            counter1 ^= value; // bitwise
-        }
-
-        for (i = partsSeparator; i < array.length; i++) {
-            const value = array[i];
-
-            counter2 += value; // math
-            // or:
-            counter2 ^= value; // bitwise
-        }
-
-        logic(counter1, counter2);
-    }
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`In-Place Swap and Overwrite`__
-
-1. __*`Swap elements of one or more arrays`*__
-    1. __*`Swap elements of one or more arrays`*__
-        <details>
-
-        <summary>Code</summary>
-
-        ```js
-        function approach(array) {
-            for (let i = 0; i < array.length; i++) {
-                logic(array[i], i, array, swap);
-            }
-        }
-
-        function swap(array, i1, i2) {
-            ([array[i1], array[i2]] = [array[i2], array[i1]]);
-        }
-        ```
-
-        ---
-
-        </details>
-
-    2. __*`The first pointer goes through the array and upon some condition does two things at once: swaps the value at the first pointer with the value at the second pointer and increments the second pointer`*__
-        <details>
-
-        <summary>Code</summary>
-
-        ```js
-        function approach(array) {
-            let i = 0; // or 1
-            let j = 0;
-
-            for (i = i; i < array.length; i++) {
-                if (condition()) {
-                    swap(array, i, j);
-                    j++;
-                }
-            }
-        }
-
-        function swap(array, i1, i2) {
-            ([array[i1], array[i2]] = [array[i2], array[i1]]);
-        }
-        ```
-
-        ---
-
-        </details>
-
-    3. __*`Swap one part of the array with the other part of the array`*__
-        <details>
-
-        <summary>Code</summary>
-
-        ```js
-        function approach(array) {
-            const partsSeparator = logic(array);
-
-            for (let i = 0; i < partsSeparator; i++) {
-                const j = logic(array, partsSeparator, i);
-
-                swap(array, i, j);
-            }
-        }
-
-        function swap(array, i1, i2) {
-            ([array[i1], array[i2]] = [array[i2], array[i1]]);
-        }
-        ```
-
-        ---
-
-        </details>
-
-    4. __*`Dutch National Flag algorithm`*__
-        <details>
-
-        <summary>Code</summary>
-
-        If smaller then s++ and mid++. If middle then mid++. If larger then e--
-
-        ```js
-        const SMALLER = 0;
-        const MIDDLE = 1;
-        const LARGER = 2;
-
-        function DutchNationalFlagAlgorithm(array) {
-            let s = 0;
-            let e = array.length - 1;
-            let mid = 0;
-
-            while (mid <= e) {
-                if (array[mid] === SMALLER) {
-                    swap(array, mid, s);
-                    s++;
-                    mid++;
-                } else if (array[mid] === MIDDLE) {
-                    mid++;
-                } else { // if (array[mid] === LARGER)
-                    swap(array, mid, e);
-                    e--;
-                }
-            }
-        }
-
-        function swap(array, i1, i2) {
-            ([array[i1], array[i2]] = [array[i2], array[i1]]);
-        }
-        ```
-
-        ---
-
-        </details>
-
-2. __*`Overwrite elements of one or more arrays`*__
-    1. __*`The first pointer goes through the array and upon some condition does two things at once: overwrites the value at the second pointer and increments the second pointer`*__
-        <details>
-
-        <summary>Code</summary>
-
-        ```js
-        function approach(array) {
-            let i = 0; // or 1
-            let j = 0;
-
-            for (i = i; i < array.length; i++) {
-                if (condition()) {
-                    array[j++] = logic(array[i]);
-                }
-            }
-        }
-        ```
-
-        ---
-
-        </details>
-
-    2. __*`Iterate the array and get some information. Then based on this information iterate the array again overwriting its values`*__
-        <details>
-
-        <summary>Code</summary>
-
-        ```js
-        function approach(array) {
-            let i = 0;
-
-            for (i = 0; i < array.length; i++) {
-                logic(array[i], i);
-            }
-
-            for (i = 0; i < array.length; i++) {
-                array[i] = logic();
-            }
-        }
-        ```
-
-        ---
-
-        </details>
-
----
-
-| [:arrow_left: back](./README.md) |
-| :---: |
diff --git a/task-archieve/task-type-summary/data-structures.md b/task-archieve/task-type-summary/data-structures.md
deleted file mode 100644
index bc48705..0000000
--- a/task-archieve/task-type-summary/data-structures.md
+++ /dev/null
@@ -1,150 +0,0 @@
-# Task Type Summary Data Structures
-
-## __`Stack or Queue`__
-
-1. __*`Do while loop while Stack is not empty popping and pushing along the way`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        const stack = [];
-
-        logic(stack);
-
-        while(stack.length) {
-            logic(array, stack); // stack.push() stack.pop()
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
-2. __*`Do while loop while Queue is not empty queueing and dequeueing along the way`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(array) {
-        const queue = [];
-
-        logic(queue);
-
-        while(queue.length) {
-            logic(array, queue); // queue.push() queue.shift()
-        }
-    }
-    ```
-
-    ---
-
-    </details>
-
-3. __*`Merge two Queues of prefixes`*__
-    <details>
-
-    <summary>Code</summary>
-
-    __*queue:*__
-
-    ```js
-    function approach() {
-        let queue = [];
-
-        logic(queue);
-
-        while (condition()) {
-            const currentQueue = [];
-
-            while (queue.length > 0) {
-                const element = queue.shift();
-
-                currentQueue.push(...logic(element));
-            }
-
-            queue = currentQueue;
-        }
-    }
-    ```
-
-    __*recursion:*__
-
-    ```js
-    function approach(array) {
-        const result = [];
-
-        function backtrack(prefix, offset) {
-            if (offset === array.length) {
-                result.push(prefix);
-                return;
-            }
-
-            const value = array[offset];
-
-            backtrack([...prefix, ...logic(value)], offset + 1);
-        }
-
-        backtrack([], 0);
-
-        logic(result);
-    }
-    ```
-
-    ---
-
-    </details>
-
----
-
-## __`Matrix`__
-
-1. __*`Iterate a Matrix`*__
-    <details>
-
-    <summary>Code</summary>
-
-    ```js
-    function approach(matrix) {
-        let i;
-        let j;
-
-        // horizontal
-        for (i = 0; i < matrix[0].length; i++) {
-            logic(matrix[0][i]);
-        }
-
-        // vertical
-        for (j = 0; j < matrix.length; j++) {
-            logic(matrix[j][0]);
-        }
-
-        // diagonal
-        for (i = 0, j = 0; i < matrix[0].length && j < matrix.length; i++, j++) {
-            logic(matrix[j][i]);
-        }
-    }
-    ```
-
-    __Input:__
-    ```
-    [
-        [1, 2, 3],
-        [4, 5, 6],
-        [7, 8, 9],
-    ]
-    ```
-
-    __Output:__ horizontal: `1`, `2`, `3`, vertical: `1`, `4`, `7`, diagonal: `1`, `5`, `9`
-
-    ---
-
-    </details>
-
----
-
-| [:arrow_left: back](./README.md) |
-| :---: |
diff --git a/task-archieve/task-type.md b/task-archieve/task-type.md
deleted file mode 100644
index 2ee3a5d..0000000
--- a/task-archieve/task-type.md
+++ /dev/null
@@ -1,79 +0,0 @@
-## Task Archieve [:scroll:](./README.md)
-
-_Tasks grouped by_ `Task Type`
-
----
-
-[:bulb: __Extra Documentation__](./extra-documentation.md)
-
-[:bulb: __Task Type Summary__](./task-type-summary/README.md)
-
-### One Pointer One Array
-  - [Find Peak Element](./find-peak-element/task.md)
-  - [Reverse an Array](./reverse-array/task.md)
-  - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
-  <!-- TODO: Use values as indexes (Love Triangles) -->
-  - [Basketball Games](./basketball-games/task.md)
-
-### Two Pointers Two Arrays
-  <!-- TODO: Two pointers of two arrays increase like in Merge Sort (Merge two sorted arrays) -->
-  - [Intersection of intervals](./intersection-intervals/task.md)
-
-### Two Pointers One Array
-  - [Container With Most Water](./most-water/task.md)
-
-### Sliding Window
-  - [Best Time to Buy and Sell Stock](./best-time-to-buy-and-sell-stock/task.md)
-  - [Summary Ranges](./summary-ranges/task.md)
-  - [Longest sequence of letters](./longest-letter-subsequence/task.md)
-
-### Array and Counter
-  - [The Last Sequence of Ones](./the-last-sequence-of-ones/task.md)
-  - [Greatest Integer in Array](./greatest-integer-in-array/task.md)
-  - [3 Greatest Integers in Array](./three-greatest-integers-in-array/task.md)
-  - [The Longest Sequence of Ones](./the-longest-sequence-of-ones/task.md)
-
-### Array and HashMap
-  - [Contiguous Array](./contiguous-array/task.md)
-  - [Partition Labels](./partition-labels/task.md)
-
-### Array and Stack or Queue
-  - [Valid Parentheses](./valid-parentheses/task.md)
-
-### Array Relation of Indexes and Values
-  - [Missing Number in Sorted Array](./missing-number-sorted-array/task.md)
-  - [Zigzag Conversion](./zigzag-conversion/task.md)
-
-### Array Math Operation on All Elements
-  - [Single Number](./single-number/task.md)
-  - [Missing Number](./missing-number/task.md)
-  - [Distance Between Bus Stops](./distance-between-bus-stops/task.md)
-
-### In-Place Swap and Overwrite
-  - [Sort letters from one array via another array](./sort-letters-two-arrays/task.md)
-  - [Remove Duplicates from Sorted Array](./remove-duplicates-sorted-array/task.md)
-  - [Sort Colors](./sort-colors/task.md)
-  - [Reverse an Array](./reverse-array/task.md)
-
-### Stack or Queue
-  - [Flatten non-recursive](./flatten-nonrecursive/task.md)
-  - [Unpack IP](./unpack-ip/task.md)
-
-### Matrix
-  - [Sort the Matrix diagonally](./matrix-diagonal-sort/task.md)
-
-### Check if Puzzle is Solvable
-  - [Word Search](./word-search/task.md)
-
-### Numbers Math
-  - [Keygen](./keygen/task.md)
-  - [Maximum Product Subarray](./maximum-product-subarray/task.md)
-  - [Climbing Stairs](./climb-stairs/task.md)
-
-### Backtracking
-  - [Combinations](./combinations/task.md)
-  - [Letter Combinations of a Phone Number](./letter-combinations-of-a-phone-number/task.md)
-
-### Tabulation
-  - [Word Break](./word-break/task.md)
-  - [Interleaving String](./interleaving-string/task.md)
diff --git a/task-archieve/template/README.md b/task-archieve/template/README.md
deleted file mode 100644
index 673e45b..0000000
--- a/task-archieve/template/README.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# Task Template
-
-- [__Task Type__](./task-type.md) (*_text_)
-- [__Approach__](./approach.md) (*_text_)
-- [__Task Type Approach__](./task-type-approach.md) (*_task_)
-- [__Task Type 2x Approach__](./task-type-2-approach.md) (*_task_)
-- [__Task Type Approach 2x__](./task-type-approach-2.md) (*_task_)
-- [__Task Type Summary__](./task-type-summary.md) (*_task type summary_)
-- [__Task Type Summary Nested__](./task-type-summary-nested.md) (*_task type summary_)
-
-### Checklist
-
-- [x] [__README.md__](../README.md)
-- [x] [__task-type.md__](../task-type.md)
-- [x] [__task-type-summary__](../task-type-summary/README.md)
-
-<!-- * NOTE: when renaming Task Type or Approach simply COMMAND+SHIFT+F the name across the entire project -->
-
----
-
-| [:arrow_left: back](../README.md) |
-| :---: |
diff --git a/task-archieve/template/approach.md b/task-archieve/template/approach.md
deleted file mode 100644
index c722d70..0000000
--- a/task-archieve/template/approach.md
+++ /dev/null
@@ -1 +0,0 @@
-the _`TODO`_ Approach
\ No newline at end of file
diff --git a/task-archieve/template/task-type-2-approach.md b/task-archieve/template/task-type-2-approach.md
deleted file mode 100644
index 4e97f49..0000000
--- a/task-archieve/template/task-type-2-approach.md
+++ /dev/null
@@ -1,56 +0,0 @@
-# TODO
-
-TODO: description
-
-<details>
-
-<summary>Hint</summary>
-
-TODO: optional: hint description
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`TODO: Task Type 1`__
-  <details>
-
-  <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
-
-    TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
-
-    TODO: expnanation of the logic of the solution and how the Approach is applied TODO: In order to solve this Task we ...
-
-    TODO: optional: example of the logic of the solution
-
-  </details>
-
----
-
-- __`TODO: Task Type 2`__ + __`TODO: Task Type 3`__
-  <details>
-
-  <summary><i><b><code>TODO: Approach 2</code></b></i> + <i><b><code>TODO: Approach 3</code></b></i></summary>
-
-    TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
-
-    TODO: expnanation of the logic of the solution and how the Approach is applied TODO: In order to solve this Task we ...
-
-    TODO: optional: example of the logic of the solution
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
-
-<!--
-TODO: or:
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
--->
diff --git a/task-archieve/template/task-type-approach-2.md b/task-archieve/template/task-type-approach-2.md
deleted file mode 100644
index 0b018d4..0000000
--- a/task-archieve/template/task-type-approach-2.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# TODO
-
-TODO: description
-
-<details>
-
-<summary>Hint</summary>
-
-TODO: optional: hint description
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`TODO: Task Type`__
-  <details>
-
-  <summary><i><b><code>TODO: Approach 1</code></b></i></summary>
-
-    TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
-
-    TODO: expnanation of the logic of the solution and how the Approach is applied TODO: In order to solve this Task we ...
-
-    TODO: optional: example of the logic of the solution
-
-  </details>
-
-  ---
-
-  <details>
-
-  <summary><i><b><code>TODO: Approach 2</code></b></i></summary>
-
-    TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
-
-    TODO: expnanation of the logic of the solution and how the Approach is applied TODO: In order to solve this Task we ...
-
-    TODO: optional: example of the logic of the solution
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
-
-<!--
-TODO: or:
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
--->
diff --git a/task-archieve/template/task-type-approach.md b/task-archieve/template/task-type-approach.md
deleted file mode 100644
index b9056f5..0000000
--- a/task-archieve/template/task-type-approach.md
+++ /dev/null
@@ -1,41 +0,0 @@
-# TODO
-
-TODO: description
-
-<details>
-
-<summary>Hint</summary>
-
-TODO: optional: hint description
-
-</details>
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`TODO: Task Type`__
-  <details>
-
-  <summary><i><b><code>TODO: Approach</code></b></i></summary>
-
-    TODO: abstract explanation of the Approach if Approach is used for the first time: TODO: The Approach is that ...
-
-    TODO: expnanation of the logic of the solution and how the Approach is applied TODO: In order to solve this Task we ...
-
-    TODO: optional: example of the logic of the solution
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
-
-<!--
-TODO: or:
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
--->
diff --git a/task-archieve/template/task-type-summary-nested.md b/task-archieve/template/task-type-summary-nested.md
deleted file mode 100644
index b1623d5..0000000
--- a/task-archieve/template/task-type-summary-nested.md
+++ /dev/null
@@ -1,39 +0,0 @@
-    1. __*`TODO: Approach`*__
-        <details>
-
-        <summary>Code</summary>
-
-        TODO: optional: short description
-
-        __*variation:*__
-
-        ```js
-        function approach() {
-            TODO
-        }
-        ```
-
-        __Input:__ TODO
-
-        __Output:__ TODO
-
-        ---
-
-        </details>
-
-<!--
-function approach(array) {
-}
-
-------------
-
-function logic(...args) {
-    console.log(...args);
-}
-
-function condition() {
-    return Math.random() < 0.3;
-}
-
-approach([1, 2, 3, 4, 5, 6, 7], ['a', 'b', 'c']);
--->
diff --git a/task-archieve/template/task-type-summary.md b/task-archieve/template/task-type-summary.md
deleted file mode 100644
index 07bf7c0..0000000
--- a/task-archieve/template/task-type-summary.md
+++ /dev/null
@@ -1,43 +0,0 @@
-## __`TODO: Task Type`__
-
-1. __*`TODO: Approach`*__
-    <details>
-
-    <summary>Code</summary>
-
-    TODO: optional: short description
-
-    __*variation:*__
-
-    ```js
-    function approach() {
-        TODO
-    }
-    ```
-
-    __Input:__ TODO
-
-    __Output:__ TODO
-
-    ---
-
-    </details>
-
----
-
-<!--
-function approach(array) {
-}
-
-------------
-
-function logic(...args) {
-    console.log(...args);
-}
-
-function condition() {
-    return Math.random() < 0.3;
-}
-
-approach([1, 2, 3, 4, 5, 6, 7], ['a', 'b', 'c']);
--->
diff --git a/task-archieve/template/task-type.md b/task-archieve/template/task-type.md
deleted file mode 100644
index 4aa77f6..0000000
--- a/task-archieve/template/task-type.md
+++ /dev/null
@@ -1 +0,0 @@
-the `TODO` Task Type
\ No newline at end of file
diff --git a/task-archieve/the-last-sequence-of-ones/solution-2.js b/task-archieve/the-last-sequence-of-ones/solution-2.js
deleted file mode 100644
index 2e13af8..0000000
--- a/task-archieve/the-last-sequence-of-ones/solution-2.js
+++ /dev/null
@@ -1,17 +0,0 @@
-function lastSequenceOfOnes(array) {
-    let counter = 0;
-
-    for (let i = array.length - 1; i >= 0; i--) {
-        const value = array[i];
-
-        if (value === 1) {
-            counter++;
-        }
-
-        if (value === 0) {
-            break;
-        }
-    }
-
-    return counter;
-}
diff --git a/task-archieve/the-last-sequence-of-ones/solution.js b/task-archieve/the-last-sequence-of-ones/solution.js
deleted file mode 100644
index ca57ff8..0000000
--- a/task-archieve/the-last-sequence-of-ones/solution.js
+++ /dev/null
@@ -1,15 +0,0 @@
-function lastSequenceOfOnes(array) {
-    let counter = 0;
-
-    for (const value of array) {
-        if (value === 1) {
-            counter++;
-        }
-
-        if (value === 0) {
-            counter = 0;
-        }
-    }
-
-    return counter;
-}
diff --git a/task-archieve/the-last-sequence-of-ones/task.md b/task-archieve/the-last-sequence-of-ones/task.md
deleted file mode 100644
index ab840bb..0000000
--- a/task-archieve/the-last-sequence-of-ones/task.md
+++ /dev/null
@@ -1,85 +0,0 @@
-# The Last Sequence of Ones
-
-You are given a binary array `nums`. Binary array means that the array consists only of `1`s and `0`s. You need to return the length of the last sequence of `1`s after the last `0` in the array
-
-__Example 1:__
-
-```
-Input: nums = [1, 0, 1, 1, 1]
-                     ^  ^  ^
-Output: 3
-Explanation: the last 0 is at index 1 followed by 3 more 1s thus the length of the last sequence of 1s after the last 0 is 3
-```
-
-__Example 2:__
-
-```
-Input: nums = [0, 1, 1, 1, 0, 1, 1]
-                              ^  ^
-Output: 2
-Explanation: we have a sequence of 1s whose length is 3 after the first 0 and another sequence of 1s whose length is 2 after the second 0 thus the length of the last sequence of 1s after the last 0 is 2
-```
-
-__Example 3:__
-
-```
-Input: nums = [1, 1, 1]
-               ^  ^  ^
-Output: 3
-Explanation: we don't have 0s at all thus the length of the last sequence of 1s after the last 0 is 3 (the length of the entire array). For our purpose we are required to assume that if the array doesn't have 0s at all then the last 0 is at index -1
-```
-
-__Example 4:__
-
-```
-Input: nums = [0, 1, 1, 1, 0]
-Output: 0
-Explanation: 0 is the last element of the array thus the last sequence of 1s after the last 0 doesn't exist and its length is therefore 0
-```
-
-__Example 5:__
-
-```
-Input: nums = []
-Output: 0
-Explanation: the array is empty thus the last sequence of 1s after the last 0 doesn't exist and its length is therefore 0
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array and Counter`__
-  <details>
-
-  <summary><i><b><code>Iterate an array keeping one or more counters</code></b></i></summary>
-
-    The Approach is that we iterate an array and keep one or more counters
-
-    __Note:__ a "counter" is a variable that holds some number which we are going to increase, decrease or change in some other way per iteration. A _counter_ variable is created before we start iterating the array (before the for-loop) and is thus accessible during the entire iteration of the array as well as after the entire iteration of the array (after the for-loop)
-
-    __Note:__ and if we say "reset a counter" it means assign to a counter the value that it had before we started iterating the array
-
-    __Note:__ when we say "keep a counter" while iterating an array it means you iterate an array and on some or all iterations you update or reset the counter. Sometimes you merely increment or decrement the counter and sometimes (if the logic of the task is complex) you may assign some cleverly calculated value to the counter per iteration (the current value of the counter itself may be used to calculate its new value of course) and other times you may want to reset the counter back to its initital value it had before we started iterating the array
-
-    In order to solve this Task we need to create a counter then initialize it to `0` and then iterate the array applying the following logic: if we encounter a `1` in the array then we increment the counter and if we encounter a `0` in the array then we reset the counter back to its initial value of `0`. Thus at the end of the iteration of the entire array the counter will hold the length of the last sequence of `1`s after the last `0`
-
-  </details>
-
----
-
-- __`Array and Counter`__ + __`One Pointer One Array`__
-  <details>
-
-  <summary><i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array in reverse</code></b></i></summary>
-
-    Another way we can solve this Task is if we apply the _`Iterate an array in reverse`_ Approach in addition to the _`Iterate an array incrementing and decrementing one or more counters`_ Approach. If we iterate the array in reverse then we can solve the Task via the simplest manipulations to the counter, that is by merely incrementing and decrementing the counter but never having to reset the counter or anything. All we need to do is iterate the array in reverse incrementing the counter if we come across a `1` in the array and stop iterating the array either if we come across a `0` in the array or if we reach the start of the array ([solution 2](./solution-2.js))
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/the-longest-sequence-of-ones/solution.js b/task-archieve/the-longest-sequence-of-ones/solution.js
deleted file mode 100644
index 149f8c2..0000000
--- a/task-archieve/the-longest-sequence-of-ones/solution.js
+++ /dev/null
@@ -1,25 +0,0 @@
-function countOnes(array) {
-    let max = 0; // third counter
-    let current = 0; // first counter
-    let prev = 0; // second counter
-
-    for (let i = 0; i < array.length; i++) {
-        if (array[i] === 1) {
-            current++;
-        }
-
-        if (array[i] === 0) {
-            prev = current;
-            current = 0;
-        }
-
-        max = Math.max(current + prev, max);
-    }
-
-    return max === array.length ? max - 1 : max;
-}
-
-console.log(countOnes([1, 0])); // 1
-console.log(countOnes([1, 1])); // 1
-console.log(countOnes([0, 0])); // 0
-console.log(countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1])); // 4
diff --git a/task-archieve/the-longest-sequence-of-ones/task.md b/task-archieve/the-longest-sequence-of-ones/task.md
deleted file mode 100644
index efb65fb..0000000
--- a/task-archieve/the-longest-sequence-of-ones/task.md
+++ /dev/null
@@ -1,32 +0,0 @@
-# The Longest Sequence of Ones
-
-Your task is to implement algorithm that finds the longest sequence of 1's in array consisting of 1's and 0's. For this task you also have to exclude at least 1 element out of the array, for example:
-
-```js
-countOnes([1, 0]); // 1
-countOnes([1, 1]); // 1 (because we have to throw away at least one element, thus we throw away 1)
-countOnes([0, 0]); // 0
-countOnes([1, 1, 1, 0, 1, 0, 0, 1, 1, 1]); // 4 (we throw away 0 at index 3 and get four 1's)
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array and Counter`__
-  <details>
-
-  <summary><i><b><code>Iterate an array incrementing and decrementing one or more counters</code></b></i> + <i><b><code>Iterate an array keeping one or more max or min counters</code></b></i> + <i><b><code>Iterate an array keeping one or more previous counters</code></b></i></summary>
-
-    <!-- TODO: we need to combine no less than 3 Approaches of the Task Type to create a solution -->
-
-    <!-- TODO: expnanation of the logic of the solution: we combine three Approaches and here comes the explanation -->
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/three-greatest-integers-in-array/solution.js b/task-archieve/three-greatest-integers-in-array/solution.js
deleted file mode 100644
index 46adec7..0000000
--- a/task-archieve/three-greatest-integers-in-array/solution.js
+++ /dev/null
@@ -1,20 +0,0 @@
-function threeGreatestIntegers(array) {
-    let counterA = -1;
-    let counterB = -1;
-    let counterC = -1;
-
-    for (const value of array) {
-        if (value > counterA) {
-            counterC = counterB;
-            counterB = counterA;
-            counterA = value;
-        } else if (value > counterB && (value !== counterA)) {
-            counterC = counterB;
-            counterB = value;
-        } else if (value > counterC && (value !== counterB && value !== counterA)) {
-            counterC = value;
-        }
-    }
-
-    return [counterA, counterB, counterC];
-}
diff --git a/task-archieve/three-greatest-integers-in-array/task.md b/task-archieve/three-greatest-integers-in-array/task.md
deleted file mode 100644
index 5dfdebd..0000000
--- a/task-archieve/three-greatest-integers-in-array/task.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# 3 Greatest Integers in Array
-
-Given an array of positive integers return the _3 greatest integers in the array_ in descending order. If an array is empty return `-1`, `-1`, `-1`
-
-__Example 1:__
-
-```
-Input: [5,4,3,6,7,8,9,10,1,2]
-Output: [10,9,8]
-```
-
-__Example 2:__
-
-```
-Input: [1,2,2,1,1,3,1,1,1]
-Output: [3,2,1]
-```
-
-__Example 3:__
-
-```
-Input: [2,3,2,1,4,7,3,2,2,1]
-Output: [7,4,3]
-```
-
-__Example 4:__
-
-```
-Input: []
-Output: [-1,-1,-1]
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array and Counter`__
-  <details>
-
-  <summary><i><b><code>Iterate an array keeping one or more previous counters</code></b></i></summary>
-
-    The Approach is that we create and keep several counters and whilst iterating the array each time we update the value of one counter we save the previous value of this counter to one of the other counters. For example imagine we have two counters: counter A equal to `2` and counter B equal to `1`. If we update the value of counter A to `3` then we save the previous value `2` of counter A to counter B. Thus counter A becomes `3` and counter `B` becomes `2` (`2` is the previous value of counter A). If we update counter A again we do the same thing. And the same if we had 3 counters: counter A, counter B and counter C. Updating counter A we would set counter C to the value of counter B and counter B would be set to the value of counter A and only after that would counter A be updated. This way we have several counters that hold as if the _history_ of all the values that some counter had while we were iterating the array
-
-    __Note:__ the number of counters you can use this way is obviously not limited to just 2 or 3. You may keep as many counters as you need: the first counter is going to be some value (computed according to some logic) and the other counters are going to be the previous values that the first counter ever had during the entire iteration of the array
-
-    In order to solve this Task we need to create 3 counters (counter A, counter B and counter C) and initialize them to `-1`. Each time we find a value that is greater than the value of counter A we do the following: set counter C to the value of counter B then set counter B to the value of counter A and finally update counter A. The tricky part is the logic of the solution: we also need to update counter B and counter C if the value in the array we are looking at during iteration is greater than counter B but smaller than counter A (counter C is set to the value of counter B and counter B is updated) and the same for counter C: update counter C if the value we are looking at is greater than counter C but smaller than counter A and counter B. Also avoid the situation where the three counters might become equal to one another. This way we get the 3 greatest integers in the array
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/top-k-frequent-elements/solution.js b/task-archieve/top-k-frequent-elements/solution.js
deleted file mode 100644
index d2a29dd..0000000
--- a/task-archieve/top-k-frequent-elements/solution.js
+++ /dev/null
@@ -1,21 +0,0 @@
-function topKFrequent(nums, k) {
-    const hashMap = {}; // as optimization it could be Priority Queue instead of Hash Map
-
-    for (const value of nums) {
-        if (value in hashMap) {
-            hashMap[value]++;
-        } else {
-            hashMap[value] = 1;
-        }
-    }
-
-    const result = Object.entries(hashMap)
-        .sort((entry1, entry2) => entry2[1] - entry1[1])
-        .map((entry) => Number(entry[0]));
-
-    while (result.length > k) {
-        result.pop();
-    }
-
-    return result;
-}
diff --git a/task-archieve/top-k-frequent-elements/task.md b/task-archieve/top-k-frequent-elements/task.md
deleted file mode 100644
index a052e69..0000000
--- a/task-archieve/top-k-frequent-elements/task.md
+++ /dev/null
@@ -1,41 +0,0 @@
-# Top K Frequent Elements
-
-Given an integer array `nums` and an integer `k`, return the `k` most frequent elements. You may return the answer in __any order__
-
-__Example 1:__
-
-```
-Input: nums = [1,1,1,2,2,3], k = 2
-Output: [1,2]
-```
-
-__Example 2:__
-
-```
-Input: nums = [1], k = 1
-Output: [1]
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array and HashMap`__
-  <details>
-
-  <summary><i><b><code>Create one or more HashMaps and iterate the HashMap (the HashMaps) in some way</code></b></i></summary>
-
-    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... BUT keep in mind we have already seen this approach so this is a Similar Task essentially -->
-
-    In order to solve the task you need to create HashMap and iterate this HashMap in some way similarly to [this task](../partition-labels/task.md) except here we need not to iterate but rather _sort_ this HashMap we get
-
-    Just don't be fooled by the mention of "any order" in the task description into thinking it is a Task Type for Backtracking
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/unpack-ip/solution-2.js b/task-archieve/unpack-ip/solution-2.js
deleted file mode 100644
index eabb3ab..0000000
--- a/task-archieve/unpack-ip/solution-2.js
+++ /dev/null
@@ -1,51 +0,0 @@
-const IP_OCTET_COUNT = 4;
-
-function unpackIP(ips) {
-    const result = [];
-    const masks = ips.split('.');
-
-    function unpackMask(prefix, offset) {
-        if (offset === IP_OCTET_COUNT) {
-            result.push(prefix);
-            return;
-        }
-
-        const mask = masks[offset];
-        const octets = getOctets(mask);
-
-        for (const octet of octets) {
-            unpackMask([...prefix, octet], offset + 1);
-        }
-    }
-
-    unpackMask([], 0);
-
-    return result.map((value) => value.join('.'));
-}
-
-function getOctets(mask) {
-    return mask.split(',').flatMap((value) => {
-        const range = value.split('-');
-
-        if (range.length === 2) {
-            const values = [];
-
-            let i = range[0];
-            const length = range[1];
-
-            while (i <= length) {
-                values.push(i.toString());
-                i++;
-            }
-
-            return values;
-        }
-
-        return value;
-    });
-}
-
-unpackIP('1.2.3.4');  // ['1.2.3.4']
-unpackIP('1.2.3.4-6');  // ['1.2.3.4', '1.2.3.5', '1.2.3.6']
-unpackIP('1.2.3,6.4');  // ['1.2.3.4', '1.2.6.4']
-unpackIP('1.2.3.1-3,7');  // ['1.2.3.1', '1.2.3.2', '1.2.3.3', '1.2.3.7']
diff --git a/task-archieve/unpack-ip/solution.js b/task-archieve/unpack-ip/solution.js
deleted file mode 100644
index f52580d..0000000
--- a/task-archieve/unpack-ip/solution.js
+++ /dev/null
@@ -1,50 +0,0 @@
-function unpackIP(ips) {
-    let queue = [[]];
-    const masks = ips.split('.');
-
-    for (const mask of masks) {
-        const octets = getOctets(mask);
-        const currentQueue = [];
-
-        while (queue.length) {
-            const prefix = queue.shift();
-
-            for (const octet of octets) {
-                const newPrefix = [...prefix, octet];
-
-                currentQueue.push(newPrefix);
-            }
-        }
-
-        queue = currentQueue;
-    }
-
-    return queue.map((value) => value.join('.'));
-}
-
-function getOctets(mask) {
-    return mask.split(',').flatMap((value) => {
-        const range = value.split('-');
-
-        if (range.length === 2) {
-            const values = [];
-
-            let i = range[0];
-            const length = range[1];
-
-            while (i <= length) {
-                values.push(i.toString());
-                i++;
-            }
-
-            return values;
-        }
-
-        return value;
-    });
-}
-
-unpackIP('1.2.3.4');  // ['1.2.3.4']
-unpackIP('1.2.3.4-6');  // ['1.2.3.4', '1.2.3.5', '1.2.3.6']
-unpackIP('1.2.3,6.4');  // ['1.2.3.4', '1.2.6.4']
-unpackIP('1.2.3.1-3,7');  // ['1.2.3.1', '1.2.3.2', '1.2.3.3', '1.2.3.7']
diff --git a/task-archieve/unpack-ip/task.md b/task-archieve/unpack-ip/task.md
deleted file mode 100644
index db7a8b6..0000000
--- a/task-archieve/unpack-ip/task.md
+++ /dev/null
@@ -1,60 +0,0 @@
-# Unpack IP
-
-Given a special IP _mask_ (unrelated to the real life IP masking) write a function that unpacks the mask into the IP addresses it covers. The mask has two special patterns:
-- `N-M` corresponds to a range of octets from `N` to `M` (where `N` or `M` is any number)
-- `N,M` corresponds to a sequence of octets `N` and `M` (where `N` or `M` is any number)
-
-__Example 1:__
-
-```
-Input: '1.2.3.4'
-Output: ['1.2.3.4']
-```
-
-__Example 2:__
-
-```
-Input: '1.2.3.4-6'
-Output: ['1.2.3.4', '1.2.3.5', '1.2.3.6']
-```
-
-__Example 3:__
-
-```
-Input: '1.2.3,6.4'
-Output: ['1.2.3.4', '1.2.6.4']
-```
-
-__Example 4:__
-
-```
-Input: '1.2.3.1-3,7'
-Output: ['1.2.3.1', '1.2.3.2', '1.2.3.3', '1.2.3.7']
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Stack or Queue`__
-  <details>
-
-  <summary><i><b><code>Merge two Queues of prefixes</code></b></i></summary>
-
-    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
-    Basically we use one Queue as a Queue of prefixes and each of the prefixes we combine with an array of other values and put into a new Queue. Then the old Queue is disregarded and the new Queue is used as a Queue of prefixes again in the next iteration
-
-    In our task each octet or a series of octets is a prefix. If we encounter a simple octet we append it to the previous octets in the Queue. If we encounter either of the patterns then we append an octet to the previous octets in the Queue several times for each octet of the pattern
-
-    __Note:__ the task also has a recursive solution ([solution 2](./solution-2.js)), which is merely a Variation of the Approach used here, but as we have seen in the past using a Queue is more efficient than recursion because with a Queue you don't risk getting a stack overflow error
-
-    __Note:__ the mechanics of the Approach used here are very much similar to the Approach _`Get all unique combinations of values of many arrays in any order`_ we have seen in [this task](../letter-combinations-of-a-phone-number/task.md)
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/valid-parentheses/solution.js b/task-archieve/valid-parentheses/solution.js
deleted file mode 100644
index 5d34e0a..0000000
--- a/task-archieve/valid-parentheses/solution.js
+++ /dev/null
@@ -1,37 +0,0 @@
-function isValid(s) {
-    const stack = [];
-
-    for (const ch of s) {
-        if (ch === '(' || ch === '{' || ch === '[') {
-            // if opening bracket then push into the stack
-            stack.push(ch);
-        } else {
-            // if a closing bracket then we compare with the top of the stack
-            // while comparing with top of stack we have 2 cases
-            // the stack can be empty or the stack is not empty
-
-            if (stack.length !== 0) {
-                const topOfTheStack = stack[stack.length -1];
-
-                if (
-                    (ch === ')' && topOfTheStack === '(') ||
-                    (ch === '}' && topOfTheStack === '{') ||
-                    (ch === ']' && topOfTheStack === '[')
-                ) {
-                    // if matches then pop
-                    stack.pop();
-                } else {
-                    return false;
-                }
-            } else {
-                return false;
-            }
-        }
-    }
-
-    if (stack.length === 0) {
-        return true;
-    }
-
-    return false;
-}
diff --git a/task-archieve/valid-parentheses/task.md b/task-archieve/valid-parentheses/task.md
deleted file mode 100644
index 353c29c..0000000
--- a/task-archieve/valid-parentheses/task.md
+++ /dev/null
@@ -1,54 +0,0 @@
-# Valid Parentheses
-
-Given a string `s` containing just the characters `'('`, `')'`, `'{'`, `'}'`, `'['` and `']'`, determine if the input string is valid
-
-An input string is valid if:
-1. Open brackets must be closed by the same type of brackets
-2. Open brackets must be closed in the correct order
-3. Every closed bracket has a corresponding open bracket of the same type
-
-__Example 1:__
-
-```
-Input: s = "()"
-Output: true
-```
-
-__Example 2:__
-
-```
-Input: s = "()[]{}"
-Output: true
-```
-
-__Example 3:__
-
-```
-Input: s = "(]"
-Output: false
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array and Stack or Queue`__
-  <details>
-
-  <summary><i><b><code>Create and use one or more Stacks as you iterate an array</code></b></i></summary>
-
-    <!-- TODO: refactor the abstract explanation of the Approach TODO: The Approach is that ... -->
-    So you need to iterate a string as an array and use a Stack in order to solve the task
-
-    If you encounter an opening bracket then you need to push it to the Stack. If you encounter a closing bracket then you need to pop the opening bracket off the Stack (only make sure that you pop off the same type of opening bracket as you found a closing bracket for otherwise the brackets are placed incorrectly)
-
-    __Note:__ we have already given a try to solving this task [here](../../cheatsheet/brackets/README.md)
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/word-break/solution-2.js b/task-archieve/word-break/solution-2.js
deleted file mode 100644
index 88a2dcf..0000000
--- a/task-archieve/word-break/solution-2.js
+++ /dev/null
@@ -1,22 +0,0 @@
-function wordBreak(s, wordDict) {
-    const wordDictSet = new Set(wordDict);
-
-    function inspect(part) {
-        if (part.length === 0) {
-            return true;
-        }
-
-        for (let i = 0; i < s.length; i++) {
-            const word = part.slice(0, i + 1);
-            const rest = part.slice(i + 1);
-
-            if (wordDictSet.has(word) && inspect(rest)) {
-                return true;
-            }
-        }
-
-        return false;
-    }
-
-    return inspect(s);
-}
diff --git a/task-archieve/word-break/solution.js b/task-archieve/word-break/solution.js
deleted file mode 100644
index 403941b..0000000
--- a/task-archieve/word-break/solution.js
+++ /dev/null
@@ -1,23 +0,0 @@
-function wordBreak(s, wordDict) {
-    const n = s.length;
-    const dp = new Array(n + 1).fill(false);
-    const wordDictSet = new Set(wordDict);
-
-    dp[0] = true;
-
-    for (let i = 0; i < n; i++) {
-        if (!dp[i]) {
-            continue;
-        }
-
-        for (let j = i + 1; j <= n; j++) {
-            const part = s.slice(i, j);
-
-            if (wordDictSet.has(part)) {
-                dp[j] = true;
-            }
-        }
-    }
-
-    return dp[n];
-}
diff --git a/task-archieve/word-break/task.md b/task-archieve/word-break/task.md
deleted file mode 100644
index c714981..0000000
--- a/task-archieve/word-break/task.md
+++ /dev/null
@@ -1,58 +0,0 @@
-# Word Break
-
-Given a string `s` and a dictionary of strings `wordDict`, return `true` if `s` can be segmented into a space-separated sequence of one or more dictionary words
-
-__Note__ that the same word in the dictionary may be reused multiple times in the segmentation
-
-__Example 1:__
-
-```
-Input: s = "mycodewars", wordDict = ["my","codewars"]
-Output: true
-Explanation: Return true because "mycodewars" can be segmented as "my codewars"
-```
-
-__Example 2:__
-
-```
-Input: s = "applepenapple", wordDict = ["apple","pen"]
-Output: true
-Explanation: Return true because "applepenapple" can be segmented as "apple pen apple"
-Note that you are allowed to reuse a dictionary word
-```
-
-__Example 3:__
-
-```
-Input: s = "catsandog", wordDict = ["cats","dog","sand","and","cat"]
-Output: false
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`TODO: Task Type`__
-  <details>
-
-  <summary><i><b><code>TODO: Approach</code></b></i></summary>
-
-    <!-- TODO: write the Approach using One Pointer One Array and recursion -->
-    <!-- TODO: write to task type description: We need to check which way to go, go both ways to see which one is correct: that is a call for recursion -->
-
-    <!-- TODO: write Tabulation: it means as using an array as a data structure that holds in it the results of some computations in order to see if this array enables us to solve the Task -->
-
-    TODO: explanation of Approach
-
-    TODO: optional: example of Approach
-
-    TODO: optional: how to apply the Approach to the Task
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |
diff --git a/task-archieve/word-search/assets/word1.jpeg b/task-archieve/word-search/assets/word1.jpeg
deleted file mode 100644
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diff --git a/task-archieve/word-search/solution-2.js b/task-archieve/word-search/solution-2.js
deleted file mode 100644
index 536f933..0000000
--- a/task-archieve/word-search/solution-2.js
+++ /dev/null
@@ -1,21 +0,0 @@
-function exist(board, word) {
-    const traverse = (x, y, i) => {
-        if (i === word.length) return true;
-
-        if (board[y]?.[x] !== word[i]) return false;
-
-        board[y][x] = '#';
-
-        for (const [dx, dy] of [[-1, 0], [0, -1], [1, 0], [0, 1]]) {
-            if (traverse(x + dx, y + dy, i + 1)) {
-                return true;
-            }
-        }
-
-        board[y][x] = word[i];
-
-        return false;
-    }
-
-    return board.some((row, y) => row.some((_col, x) => traverse(x, y, 0)));
-}
diff --git a/task-archieve/word-search/solution.js b/task-archieve/word-search/solution.js
deleted file mode 100644
index a033130..0000000
--- a/task-archieve/word-search/solution.js
+++ /dev/null
@@ -1,100 +0,0 @@
-function exist(board, word) {
-    for (let i = 0; i < board.length; i++) {
-        for (let j = 0; j < board[i].length; j++) {
-            if (check(board, word, i, j)) {
-                return true;
-            }
-        }
-    }
-
-    return false;
-}
-
-function check(board, word, i, j, pos = 0, checked = {}) {
-    if (board[i][j] !== word[pos]) {
-        return false;
-    }
-
-    checked[getCheckedKey(i ,j)] = true;
-
-    if (pos === word.length - 1) {
-        return true;
-    }
-
-    const NEIGHBORS = [
-        [1, 0],
-        [0, 1],
-        [-1, 0],
-        [0, -1]
-    ];
-
-    for (const [iNeighbor, jNeighbor] of NEIGHBORS) {
-        const iNext = i + iNeighbor;
-        const jNext = j + jNeighbor;
-
-        if (checked[getCheckedKey(iNext, jNext)]) {
-            continue;
-        }
-
-        if (isOutOfBounds(board, iNext, jNext)) {
-            continue;
-        }
-
-        if (check(board, word, iNext, jNext, pos + 1, checked)) {
-            return true;
-        }
-    }
-
-    checked[getCheckedKey(i ,j)] = false;
-
-    return false;
-}
-
-function getCheckedKey(i, j) {
-    return [i, j].join('-');
-}
-
-function isOutOfBounds(board, i, j) {
-    if (i >= board.length || i < 0) {
-        return true;
-    }
-
-    if (j >= board[i].length || j < 0) {
-        return true;
-    }
-
-    return false;
-}
-
-console.log('Example 1, true', exist(
-    [
-        ['A','B','C','E'],
-        ['S','F','C','S'],
-        ['A','D','E','E'],
-    ],
-    'ABCCED'
-));
-console.log('Example 2, true', exist(
-    [
-        ['A','B','C','E'],
-        ['S','F','C','S'],
-        ['A','D','E','E'],
-    ],
-    'SEE'
-));
-console.log('Example 3, false', exist(
-    [
-        ['A','B','C','E'],
-        ['S','F','C','S'],
-        ['A','D','E','E'],
-    ],
-    'ABCB'
-));
-console.log('Example 4, true', exist(
-    [
-        ['A','B','C','E'],
-        ['S','F','E','S'],
-        ['A','D','E','E']
-    ],
-    'ABCESEEEFS'
-));
diff --git a/task-archieve/word-search/task.md b/task-archieve/word-search/task.md
deleted file mode 100644
index c73f5b5..0000000
--- a/task-archieve/word-search/task.md
+++ /dev/null
@@ -1,54 +0,0 @@
-# Word Search
-
-Given an `m x n` grid of characters `board` and a string `word`, return `true` _if_ `word` _exists in the grid_
-
-The word can be constructed from letters of sequentially adjacent cells, where adjacent cells are horizontally or vertically neighboring. The same letter cell may not be used more than once
-
-__Example 1:__
-
-<img width=150 src="./assets/word1.jpeg" />
-
-```
-Input: board = [["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], word = "ABCCED"
-Output: true
-```
-
-__Example 2:__
-
-<img width=150 src="./assets/word2.jpeg" />
-
-```
-Input: board = [["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], word = "SEE"
-Output: true
-```
-
-__Example 3:__
-
-<img width=150 src="./assets/word3.jpeg" />
-
-```
-Input: board = [["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], word = "ABCB"
-Output: false
-```
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Check if Puzzle is Solvable`__
-  <details>
-
-  <summary><i><b><code>Call the function recursively and see if it solves the puzzle</code></b></i></summary>
-
-    This task is similar to [Sudoku solver](../../cheatsheet/sudoku.js) where you call a function to see if you can solve the game starting at a certain position as you iterate through the board
-
-    In this task we should see if a letter matches the one in the word and if so recursively check its neighbors as well as marking the letters that we looked at
-
-  </details>
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) | [:white_check_mark: solution 2](./solution-2.js) |
-| :---: | :---: | :---: |
diff --git a/task-archieve/zigzag-conversion/solution.js b/task-archieve/zigzag-conversion/solution.js
deleted file mode 100644
index fcf6311..0000000
--- a/task-archieve/zigzag-conversion/solution.js
+++ /dev/null
@@ -1,58 +0,0 @@
-/**
- * @param {string} s
- * @param {number} numRows
- * @return {string}
- */
-function convert(s, numRows) {
-    if (s.length === 1) {
-        return s;
-    }
-
-    const numOfVertical = numRows > 2 ? numRows - 2 : 0;
-    const incrementor = numRows + numOfVertical;
-    let out = '';
-
-    for (let i = 0; i < numRows; i++) {
-        const isFirstRow = i === 0;
-        const isLastRow = i === numRows - 1;
-
-        if (!isLastRow) {
-            out += s[i];
-        }
-
-        let j = 0;
-
-        while (true) {
-            const index1 = (incrementor - i) + (incrementor * j);
-
-            if (!s[index1]) {
-                break;
-            } else {
-                out += s[index1];
-            }
-
-            if (!isFirstRow && !isLastRow) {
-                const index2 = (incrementor + i) + (incrementor * j);
-                if (s[index2]) {
-                    out += s[index2];
-                }
-            }
-
-            j++;
-        }
-    }
-
-    return out;
-};
-
-[
-    ['PAYPALISHIRING', 3, 'PAHNAPLSIIGYIR'],
-    ['PAYPALISHIRING', 4, 'PINALSIGYAHRPI'],
-    ['A', 1, 'A'],
-].forEach(([s, numRows, expected]) => {
-    const actual = convert(s, numRows);
-    console.log();
-    console.log(`Input: s="${s}", numRows=${numRows}`);
-    console.log(`Output: "${actual}"`);
-    console.log(`PASS: ${actual === expected}`);
-});
diff --git a/task-archieve/zigzag-conversion/task.md b/task-archieve/zigzag-conversion/task.md
deleted file mode 100644
index bf0b8c7..0000000
--- a/task-archieve/zigzag-conversion/task.md
+++ /dev/null
@@ -1,98 +0,0 @@
-# Zigzag Conversion
-
-The string `"PAYPALISHIRING"` is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)
-
-```
-P   A   H   N
-A P L S I I G
-Y   I   R
-```
-
-And then read line by line: `"PAHNAPLSIIGYIR"`
-
-Write the code that will take a string and make this conversion given a number of rows:
-
-```
-string convert(string s, int numRows);
-```
-
-__Example 1:__
-
-__Input:__ `s = "PAYPALISHIRING", numRows = 3`
-
-__Output:__ `"PAHNAPLSIIGYIR"`
-
-__Example 2:__
-
-__Input:__ `s = "PAYPALISHIRING", numRows = 4`
-
-__Output:__ `"PINALSIGYAHRPI"`
-
-__Explanation:__
-
-```
-P     I    N
-A   L S  I G
-Y A   H R
-P     I
-```
-
-__Example 3:__
-
-__Input:__ `s = "A", numRows = 1`
-
-__Output:__ `"A"`
-
-<details>
-
-<summary>Task Type</summary>
-
-- __`Array Relation of Indexes and Values`__
-  <details>
-
-  <summary><i><b><code>Find the relation between the indexes of the array</code></b></i></summary>
-
-    To solve this Task you need to analyze the _relation_ between the indexes of the characters of the string treating the string as an array
-
-    The spoiler below entitled "Pseudo code" has some of the logic of that _relation_ depicted in a form that suggests the idea of the solution
-
-  </details>
-
-</details>
-
-<details>
-
-<summary>Pseudo code</summary>
-
-```
-// SPOILER ALERT
-
-/**
-
-// NUMBER OF VERTICAL DIGITS = n - 2 (used below)
-// KEY = 6 (n + (n - 2), n = 4)
-
-0     6      12  // 0 + 6, ... OR   6 - 0 + 6 ...
-1   5 7   11 13  // 1 + 6, ... AND  6 - 1 + 6 ...
-2 4   8 10   14  // 2 + 6, ... AND  6 - 2 + 6 ...
-3     9      15  // 3 + 6, ... OR   6 - 3 + 6 ...
-
-0, 6, 12, 1, 5, 7, 11, 13, 2, 3, 8, 10, 14, 3, 9, 15
-
-/**
-
-/**
-0      8
-1    7 9
-2  6   10
-3 5    11
-4      12
-**/
-```
-
-</details>
-
----
-
-| [:arrow_left: back](../README.md) | [:white_check_mark: solution](./solution.js) |
-| :---: | :---: |