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Is Resource Allocation Feasible Lab Repository

This repository contains the starter code, templates, and tests for the Requirements Specification II lab. Students will implement implement a function to determine the feasibility of resrouce allocation, write specifications, and explore the impact of requirements completeness on AI‑assisted coding.

System Description

You are asked to implement a Python function that determines whether a set of resource requests can be satisfied given limited capacity. The function takes as input a list of requests and available resources and returns whether a valid allocation exists. The goal is to determine feasibility of allocation based on the provided information. You may assume inputs are provided in a reasonable and consistent format. You may use ChatGPT to assist with reasoning about the problem, generating code, or writing tests.

Structure

• src/solution.py – starter file where you implement is_allocation_feasible. Do not rename this file.
• test_solution.py – Public tests you can run to check basic correctness. Use a test runner such as pytest to execute these tests.

Running Tests

1. Install Python 3 if not already installed.
2. Implement your solution in solution.py.
3. Optionally create student_tests.py and write at least 5 test cases.
4. Run tests using:

pytest file_name.py

5. Fix any failing tests before moving on. Remember that hidden tests will check additional requirements.

Submitting Your Work

Follow the instruction in the manual.