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authorJosh Wilson <person142@users.noreply.github.com>2020-06-06 15:31:33 -0700
committerJosh Wilson <person142@users.noreply.github.com>2020-06-06 15:31:33 -0700
commit11b95d15f10c2bc652ed19d5e27efa0384396cb8 (patch)
tree8d6f2020f6982fc9f2389796daca1429387f576e /numpy/tests/fail/array_like.py
parenta5d021a1b6f439a19812926bc4d796ef5f346c44 (diff)
downloadnumpy-11b95d15f10c2bc652ed19d5e27efa0384396cb8.tar.gz
ENH: add type stubs from numpy-stubs
Add the type stubs and tests from numpy-stubs. Things this entails: - Copy over the stubs (numpy/__init__.pyi and numpy/core/_internal.pyi) - The only modification made was removing `ndarray.tostring` since it is deprecated - Update some setup.py files to include pyi files - Move the tests from numpy-stubs/tests into numpy/tests - Skip them if mypy is not installed (planning on setting up CI in a future PR) - Add a mypy.ini; use it to configure mypy in the tests - It tells mypy where to find NumPy in the test env - It ignores internal NumPy type errors (since we only want to consider errors from the tests cases) - Some small edits were made to fix test cases that were emitting deprecation warnings - Add numpy/py.typed so that the types are picked up in an installed version of NumPy
Diffstat (limited to 'numpy/tests/fail/array_like.py')
-rw-r--r--numpy/tests/fail/array_like.py22
1 files changed, 22 insertions, 0 deletions
diff --git a/numpy/tests/fail/array_like.py b/numpy/tests/fail/array_like.py
new file mode 100644
index 000000000..a5ef5795f
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+++ b/numpy/tests/fail/array_like.py
@@ -0,0 +1,22 @@
+from typing import Any, TYPE_CHECKING
+
+import numpy as np
+
+if TYPE_CHECKING:
+ from numpy.typing import ArrayLike
+else:
+ ArrayLike = Any
+
+
+class A:
+ pass
+
+
+x1: ArrayLike = (i for i in range(10)) # E: Incompatible types in assignment
+x2: ArrayLike = A() # E: Incompatible types in assignment
+x3: ArrayLike = {1: "foo", 2: "bar"} # E: Incompatible types in assignment
+
+scalar = np.int64(1)
+scalar.__array__(dtype=np.float64) # E: Unexpected keyword argument
+array = np.array([1])
+array.__array__(dtype=np.float64) # E: Unexpected keyword argument