/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/pass
import numpy as np np.sin(1) np.sin([1, 2, 3]) np.sin(1, out=np.empty(1)) np.matmul(np.ones((2, 2, 2)), np.ones((2, 2, 2)), axes=[(0, 1), (0, 1), (0, 1)]) np.sin(1, signature="D->D") np.sin(1, extobj=[16, 1, lambda: None]) # NOTE: `np.generic` subclasses are not guaranteed to support addition; # re-enable this we can infer the exact return type of `np.sin(...)`. # # np.sin(1) + np.sin(1) np.sin.types[0] np.sin.__name__ np.sin.__doc__ np.abs(np.array([1]))
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..
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__pycache__
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arithmetic.py
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array_constructors.py
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array_like.py
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arrayprint.py
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arrayterator.py
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bitwise_ops.py
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comparisons.py
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dtype.py
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einsumfunc.py
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flatiter.py
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fromnumeric.py
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index_tricks.py
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lib_utils.py
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lib_version.py
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literal.py
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mod.py
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modules.py
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multiarray.py
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ndarray_conversion.py
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ndarray_misc.py
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ndarray_shape_manipulation.py
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numeric.py
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numerictypes.py
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random.py
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scalars.py
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simple.py
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simple_py3.py
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ufunc_config.py
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ufunclike.py
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ufuncs.py
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warnings_and_errors.py
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