chore(ci): add numpy 2 release candidate to test matrix (#1828)

* chore(ci): add numpy 2 release candidate to test matrix

* also add to pyproject.toml

* list env in ci

* specify numpy in matrix deps

* add list-env

* use np.inf

* more inf fixes

.github/workflows/test.yml

@@ -17,7 +17,7 @@ jobs:
     strategy:
       matrix:
         python-version: ['3.10', '3.11']
-        numpy-version: ['1.24', '1.26']
+        numpy-version: ['1.24', '1.26', '2.0.0rc1']
         dependency-set: ["minimal", "optional"]
 
     steps:
@@ -33,7 +33,8 @@ jobs:
         pip install hatch
     - name: Set Up Hatch Env
       run: |
-        hatch env create
+        hatch env create test.py${{ matrix.python-version }}-${{ matrix.numpy-version }}-${{ matrix.dependency-set }}
+        hatch env run -e test.py${{ matrix.python-version }}-${{ matrix.numpy-version }}-${{ matrix.dependency-set }} list-env
     - name: Run Tests
       run: |
         hatch env run --env test.py${{ matrix.python-version }}-${{ matrix.numpy-version }}-${{ matrix.dependency-set }} run

pyproject.toml

@@ -92,6 +92,9 @@ version.source = "vcs"
 build.hooks.vcs.version-file = "src/zarr/_version.py"
 
 [tool.hatch.envs.test]
+dependencies = [
+    "numpy~={matrix:numpy}",
+]
 extra-dependencies = [
     "coverage",
     "pytest",
@@ -108,19 +111,20 @@ features = ["extra"]
 
 [[tool.hatch.envs.test.matrix]]
 python = ["3.10", "3.11"]
-numpy = ["1.24", "1.26"]
+numpy = ["1.24", "1.26", "2.0.0rc1"]
 version = ["minimal"]
 
 [[tool.hatch.envs.test.matrix]]
 python = ["3.10", "3.11"]
-numpy = ["1.24", "1.26"]
+numpy = ["1.24", "1.26", "2.0.0rc1"]
 features = ["optional"]
 
 [tool.hatch.envs.test.scripts]
 run-coverage = "pytest --cov-config=pyproject.toml --cov=pkg --cov=tests"
 run = "run-coverage --no-cov"
 run-verbose = "run-coverage --verbose"
 run-mypy = "mypy src"
+list-env = "pip list"
 
 [tool.hatch.envs.docs]
 features = ['docs']

src/zarr/v2/meta.py

@@ -217,9 +217,9 @@ def decode_fill_value(cls, v: Any, dtype: np.dtype, object_codec: Any = None) ->
             if v == "NaN":
                 return np.nan
             elif v == "Infinity":
-                return np.PINF
+                return np.inf
             elif v == "-Infinity":
-                return np.NINF
+                return -np.inf
             else:
                 return np.array(v, dtype=dtype)[()]
         elif dtype.kind in "c":

tests/v2/test_meta.py

@@ -325,8 +325,8 @@ def test_encode_decode_array_structured():
 def test_encode_decode_fill_values_nan():
     fills = (
         (np.nan, "NaN", np.isnan),
-        (np.NINF, "-Infinity", np.isneginf),
-        (np.PINF, "Infinity", np.isposinf),
+        (-np.inf, "-Infinity", np.isneginf),
+        (np.inf, "Infinity", np.isposinf),
     )
 
     for v, s, f in fills: