test: use np.nan for numpy >= 2.0.0 (#270)

* fix: use np.nan for numpy >= 2.0.0

* merge unittest-prerelease.yml into unittest.yml

* add unit-prerelease to cover's dependencies

* fix coverage file upload

.github/workflows/unittest.yml

@@ -31,10 +31,38 @@ jobs:
         name: coverage-artifact-${{ matrix.python }}
         path: .coverage-${{ matrix.python }}
 
+  unit-prerelease:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python: ['3.12']
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v4
+    - name: Setup Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ matrix.python }}
+    - name: Install nox
+      run: |
+        python -m pip install --upgrade setuptools pip wheel
+        python -m pip install nox
+    - name: Run unit tests
+      env:
+        COVERAGE_FILE: .coverage-prerelease-${{ matrix.python }}
+      run: |
+        nox -s unit_prerelease
+    - name: Upload coverage results
+      uses: actions/upload-artifact@v4
+      with:
+        name: coverage-artifact-prerelease-${{ matrix.python }}
+        path: .coverage-prerelease-${{ matrix.python }}
+
   cover:
     runs-on: ubuntu-latest
     needs:
         - unit
+        - unit-prerelease
     steps:
     - name: Checkout
       uses: actions/checkout@v4

owlbot.py

@@ -34,7 +34,7 @@
         "pandas": "https://pandas.pydata.org/pandas-docs/stable/"
     },
 )
-s.move(templated_files, excludes=["docs/multiprocessing.rst", "README.rst"])
+s.move(templated_files, excludes=["docs/multiprocessing.rst", "README.rst", ".github/workflows/unittest.yml"])
 
 # ----------------------------------------------------------------------------
 # Fixup files

tests/unit/test_dtypes.py

@@ -314,7 +314,7 @@ def test__validate_scalar_invalid(dtype):
         (False, None),
         (True, None),
         (True, pd.NaT if pd else None),
-        (True, np.NaN if pd else None),
+        (True, "np.nan" if pd else None),
         (True, 42),
     ],
 )
@@ -328,6 +328,13 @@ def test_take(dtype, allow_fill, fill_value):
                 if dtype == "dbdate"
                 else datetime.time(0, 42, 42, 424242)
             )
+        elif fill_value == "np.nan":
+            expected_fill = pd.NaT
+            try:
+                fill_value = np.NaN
+            except AttributeError:
+                # `np.NaN` was removed in NumPy 2.0 release. Use `np.nan` instead
+                fill_value = np.nan
         else:
             expected_fill = pd.NaT
         b = a.take([1, -1, 3], allow_fill=True, fill_value=fill_value)