replace np.float with float

.github/workflows/ci.yaml

@@ -24,32 +24,24 @@ jobs:
         python-version: ["3.9", "3.10"]
     steps:
       - uses: actions/checkout@v3
-      - name: Cache conda
-        uses: actions/cache@v3
-        env:
-          # Increase this value to reset cache if ci/environment.yml has not changed
-          CACHE_NUMBER: 0
+      - name: Create conda environment
+        uses: mamba-org/provision-with-micromamba@main
         with:
-          path: ~/conda_pkgs_dir
-          key: ${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-${{ hashFiles('ci/environment.yml') }}
-      - uses: conda-incubator/setup-miniconda@v2
-        with:
-          mamba-version: "*"
-          channels: conda-forge, defaults
-          activate-environment: test_env_xarrayutils # Defined in ci/environment*.yml
-          auto-update-conda: false
-          python-version: ${{ matrix.python-version }}
+          cache-downloads: true
+          cache-env: true
+          micromamba-version: 'latest'
           environment-file: ci/environment.yml
-          use-only-tar-bz2: true # IMPORTANT: This needs to be set for caching to work properly!
-      - name: Set up conda environment
+          extra-specs: |
+            python=${{ matrix.python-version }}
+      - name: Install xarrayutils
         run: |
-          python -m pip install -e .
+          python -m pip install -e . --no-deps
           conda list
       - name: Run Tests
         run: |
           pytest -n auto --cov=./ --cov-report=xml
       - name: Upload code coverage to Codecov
-        uses: codecov/codecov-action@v3.1.1
+        uses: codecov/codecov-action@v3.1.3
         with:
           file: ./coverage.xml
           flags: unittests
@@ -63,25 +55,31 @@ jobs:
       run:
         shell: bash -l {0}
     steps:
-    - uses: actions/checkout@v3
-    - name: Cache conda
-      uses: actions/cache@v3
-      env:
-        # Increase this value to reset cache if ci/environment-upstream-dev.yml has not changed
-        CACHE_NUMBER: 0
-      with:
-        path: ~/conda_pkgs_dir
-        key: ${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-${{ hashFiles('ci/environment-upstream-dev.yml') }}
-    - uses: conda-incubator/setup-miniconda@v2
-      with:
-        activate-environment: test_env_xarrayutils # Defined in ci/environment-upstream-dev.yml
-        auto-update-conda: false
-        environment-file: ci/environment-upstream-dev.yml
-        use-only-tar-bz2: true # IMPORTANT: This needs to be set for caching to work properly!
-    - name: Set up conda environment
-      run: |
-        python -m pip install -e .
-        conda list
-    - name: Run Tests
-      run: |
-        pytest -n auto
+      - uses: actions/checkout@v3
+      - name: Create conda environment
+        uses: mamba-org/provision-with-micromamba@main
+        with:
+          cache-downloads: true
+          cache-env: true
+          micromamba-version: 'latest'
+          environment-file: ci/environment-upstream-dev.yml
+          extra-specs: |
+            python=3.10
+      - name: Install xarrayutils
+        run: |
+          python -m pip install -e . --no-deps
+          conda list
+      - name: Run Tests
+        run: |
+          pytest -n auto --cov=./ --cov-report=xml
+      - name: Upload code coverage to Codecov
+        uses: codecov/codecov-action@v3.1.3
+        with:
+          file: ./coverage.xml
+          flags: unittests
+          env_vars: OS,PYTHON
+          name: codecov-umbrella
+          fail_ci_if_error: false
+      - name: Run Tests
+        run: |
+          pytest -n auto

xarrayutils/test/datasets.py

@@ -13,10 +13,10 @@
         [2, 2, 2, 4, 4, 4, 6, 6],
         [2, 2, 2, 4, 4, 4, 6, 6],
     ],
-    dtype=np.float,
+    dtype=float,
 )
 
-ones_2d = np.ones([6, 8], dtype=np.float)
+ones_2d = np.ones([6, 8], dtype=float)
 
 ones_2d_nan = ones_2d.copy()
 ones_2d_nan[2, 2] = np.nan

xarrayutils/test/test_utils.py

@@ -176,11 +176,8 @@ def _linregress_ufunc(a: np.ndarray, b: np.ndarray, nanmask: bool = False):
         ({"x": -1, "y": 1}, "x"),
     ],
 )
-# @pytest.mark.parametrize("variant", range(3))
 @pytest.mark.parametrize("variant", [0])
-# @pytest.mark.parametrize("dtype", [None, np.float])
 @pytest.mark.parametrize("dtype", [None])
-# @pytest.mark.parametrize("nans", [False, True])
 @pytest.mark.parametrize("nans", [True, "all"])
 @pytest.mark.parametrize(
     "ni, parameter", enumerate(["slope", "intercept", "r_value", "p_value", "std_err"])
@@ -599,7 +596,7 @@ def test_aggregate_input_da(dataarray_2d_example):
 
 
 def test_aggregate_w_nanmean(dataarray_2d_ones, dataarray_2d_ones_nan):
-    expected_result = np.array([[1, 1], [1, 1]], dtype=np.float)
+    expected_result = np.array([[1, 1], [1, 1]], dtype=float)
     blocks = [("i", 3), ("j", 3)]
 
     data = dataarray_2d_ones_nan

xarrayutils/utils.py

@@ -109,7 +109,7 @@ def linear_trend(obj, dim):
     trend is in units/yr.
     """
     x = xr.DataArray(
-        np.arange(len(obj[dim])).astype(np.float), dims=dim, coords={dim: obj[dim]}
+        np.arange(len(obj[dim])).astype(float), dims=dim, coords={dim: obj[dim]}
     )
     trend = xr_linregress(x, obj, dim=dim)
     return trend