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author | Josh Wilson <person142@users.noreply.github.com> | 2020-06-06 15:31:33 -0700 |
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committer | Josh Wilson <person142@users.noreply.github.com> | 2020-06-06 15:31:33 -0700 |
commit | 11b95d15f10c2bc652ed19d5e27efa0384396cb8 (patch) | |
tree | 8d6f2020f6982fc9f2389796daca1429387f576e /numpy/tests/fail/scalars.py | |
parent | a5d021a1b6f439a19812926bc4d796ef5f346c44 (diff) | |
download | numpy-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/scalars.py')
-rw-r--r-- | numpy/tests/fail/scalars.py | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/numpy/tests/fail/scalars.py b/numpy/tests/fail/scalars.py new file mode 100644 index 000000000..0dfc55124 --- /dev/null +++ b/numpy/tests/fail/scalars.py @@ -0,0 +1,67 @@ +import numpy as np + +# Construction + +np.float32(3j) # E: incompatible type + +# Technically the following examples are valid NumPy code. But they +# are not considered a best practice, and people who wish to use the +# stubs should instead do +# +# np.array([1.0, 0.0, 0.0], dtype=np.float32) +# np.array([], dtype=np.complex64) +# +# See e.g. the discussion on the mailing list +# +# https://mail.python.org/pipermail/numpy-discussion/2020-April/080566.html +# +# and the issue +# +# https://github.com/numpy/numpy-stubs/issues/41 +# +# for more context. +np.float32([1.0, 0.0, 0.0]) # E: incompatible type +np.complex64([]) # E: incompatible type + +np.complex64(1, 2) # E: Too many arguments +# TODO: protocols (can't check for non-existent protocols w/ __getattr__) + +np.datetime64(0) # E: non-matching overload + +dt_64 = np.datetime64(0, "D") +td_64 = np.timedelta64(1, "h") + +dt_64 + dt_64 # E: Unsupported operand types + +td_64 - dt_64 # E: Unsupported operand types +td_64 / dt_64 # E: No overload +td_64 % 1 # E: Unsupported operand types +td_64 % dt_64 # E: Unsupported operand types + + +class A: + def __float__(self): + return 1.0 + + +np.int8(A()) # E: incompatible type +np.int16(A()) # E: incompatible type +np.int32(A()) # E: incompatible type +np.int64(A()) # E: incompatible type +np.uint8(A()) # E: incompatible type +np.uint16(A()) # E: incompatible type +np.uint32(A()) # E: incompatible type +np.uint64(A()) # E: incompatible type + +np.void("test") # E: incompatible type + +np.generic(1) # E: Cannot instantiate abstract class +np.number(1) # E: Cannot instantiate abstract class +np.integer(1) # E: Cannot instantiate abstract class +np.signedinteger(1) # E: Cannot instantiate abstract class +np.unsignedinteger(1) # E: Cannot instantiate abstract class +np.inexact(1) # E: Cannot instantiate abstract class +np.floating(1) # E: Cannot instantiate abstract class +np.complexfloating(1) # E: Cannot instantiate abstract class +np.character("test") # E: Cannot instantiate abstract class +np.flexible(b"test") # E: Cannot instantiate abstract class |