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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/pass/ndarray_shape_manipulation.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/pass/ndarray_shape_manipulation.py')
-rw-r--r-- | numpy/tests/pass/ndarray_shape_manipulation.py | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/numpy/tests/pass/ndarray_shape_manipulation.py b/numpy/tests/pass/ndarray_shape_manipulation.py new file mode 100644 index 000000000..0ca3dff39 --- /dev/null +++ b/numpy/tests/pass/ndarray_shape_manipulation.py @@ -0,0 +1,47 @@ +import numpy as np + +nd1 = np.array([[1, 2], [3, 4]]) + +# reshape +nd1.reshape(4) +nd1.reshape(2, 2) +nd1.reshape((2, 2)) + +nd1.reshape((2, 2), order="C") +nd1.reshape(4, order="C") + +# resize +nd1.resize() +nd1.resize(4) +nd1.resize(2, 2) +nd1.resize((2, 2)) + +nd1.resize((2, 2), refcheck=True) +nd1.resize(4, refcheck=True) + +nd2 = np.array([[1, 2], [3, 4]]) + +# transpose +nd2.transpose() +nd2.transpose(1, 0) +nd2.transpose((1, 0)) + +# swapaxes +nd2.swapaxes(0, 1) + +# flatten +nd2.flatten() +nd2.flatten("C") + +# ravel +nd2.ravel() +nd2.ravel("C") + +# squeeze +nd2.squeeze() + +nd3 = np.array([[1, 2]]) +nd3.squeeze(0) + +nd4 = np.array([[[1, 2]]]) +nd4.squeeze((0, 1)) |