PATH:
opt
/
cloudlinux
/
venv
/
lib
/
python3.11
/
site-packages
/
numpy
/
typing
/
tests
/
data
/
reveal
from typing import Any import numpy as np import numpy.typing as npt mat: np.matrix[Any, np.dtype[np.int64]] ar_f8: npt.NDArray[np.float64] reveal_type(mat * 5) # E: matrix[Any, Any] reveal_type(5 * mat) # E: matrix[Any, Any] mat *= 5 reveal_type(mat**5) # E: matrix[Any, Any] mat **= 5 reveal_type(mat.sum()) # E: Any reveal_type(mat.mean()) # E: Any reveal_type(mat.std()) # E: Any reveal_type(mat.var()) # E: Any reveal_type(mat.prod()) # E: Any reveal_type(mat.any()) # E: bool_ reveal_type(mat.all()) # E: bool_ reveal_type(mat.max()) # E: {int64} reveal_type(mat.min()) # E: {int64} reveal_type(mat.argmax()) # E: {intp} reveal_type(mat.argmin()) # E: {intp} reveal_type(mat.ptp()) # E: {int64} reveal_type(mat.sum(axis=0)) # E: matrix[Any, Any] reveal_type(mat.mean(axis=0)) # E: matrix[Any, Any] reveal_type(mat.std(axis=0)) # E: matrix[Any, Any] reveal_type(mat.var(axis=0)) # E: matrix[Any, Any] reveal_type(mat.prod(axis=0)) # E: matrix[Any, Any] reveal_type(mat.any(axis=0)) # E: matrix[Any, dtype[bool_]] reveal_type(mat.all(axis=0)) # E: matrix[Any, dtype[bool_]] reveal_type(mat.max(axis=0)) # E: matrix[Any, dtype[{int64}]] reveal_type(mat.min(axis=0)) # E: matrix[Any, dtype[{int64}]] reveal_type(mat.argmax(axis=0)) # E: matrix[Any, dtype[{intp}]] reveal_type(mat.argmin(axis=0)) # E: matrix[Any, dtype[{intp}]] reveal_type(mat.ptp(axis=0)) # E: matrix[Any, dtype[{int64}]] reveal_type(mat.sum(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.mean(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.std(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.var(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.prod(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.any(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.all(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.max(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.min(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.argmax(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.argmin(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.ptp(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(mat.T) # E: matrix[Any, dtype[{int64}]] reveal_type(mat.I) # E: matrix[Any, Any] reveal_type(mat.A) # E: ndarray[Any, dtype[{int64}]] reveal_type(mat.A1) # E: ndarray[Any, dtype[{int64}]] reveal_type(mat.H) # E: matrix[Any, dtype[{int64}]] reveal_type(mat.getT()) # E: matrix[Any, dtype[{int64}]] reveal_type(mat.getI()) # E: matrix[Any, Any] reveal_type(mat.getA()) # E: ndarray[Any, dtype[{int64}]] reveal_type(mat.getA1()) # E: ndarray[Any, dtype[{int64}]] reveal_type(mat.getH()) # E: matrix[Any, dtype[{int64}]] reveal_type(np.bmat(ar_f8)) # E: matrix[Any, Any] reveal_type(np.bmat([[0, 1, 2]])) # E: matrix[Any, Any] reveal_type(np.bmat("mat")) # E: matrix[Any, Any] reveal_type(np.asmatrix(ar_f8, dtype=np.int64)) # E: matrix[Any, Any]
[-] arraysetops.pyi
[open]
[-] lib_utils.pyi
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..
[-] ndarray_misc.pyi
[open]
[-] numerictypes.pyi
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[-] stride_tricks.pyi
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[-] random.pyi
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[-] linalg.pyi
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[-] npyio.pyi
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[-] memmap.pyi
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[-] matrix.pyi
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[-] index_tricks.pyi
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[-] scalars.pyi
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[-] ufunclike.pyi
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[-] ndarray_conversion.pyi
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[-] arrayterator.pyi
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[-] constants.pyi
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[-] lib_function_base.pyi
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[-] einsumfunc.pyi
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[-] modules.pyi
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[-] flatiter.pyi
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[-] false_positives.pyi
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[-] array_constructors.pyi
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[-] testing.pyi
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[-] lib_version.pyi
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[-] twodim_base.pyi
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[-] ctypeslib.pyi
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[-] fromnumeric.pyi
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[-] fft.pyi
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[-] histograms.pyi
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[-] dtype.pyi
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[-] numeric.pyi
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[-] nested_sequence.pyi
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[-] lib_polynomial.pyi
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[-] nbit_base_example.pyi
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[-] datasource.pyi
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[-] chararray.pyi
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[-] comparisons.pyi
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[-] multiarray.pyi
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[-] ndarray_shape_manipulation.pyi
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[-] emath.pyi
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[-] type_check.pyi
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[-] rec.pyi
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[-] version.pyi
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[-] mod.pyi
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[-] warnings_and_errors.pyi
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[-] arithmetic.pyi
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[-] arraypad.pyi
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[-] arrayprint.pyi
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[-] nditer.pyi
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[-] getlimits.pyi
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[-] ufunc_config.pyi
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[-] bitwise_ops.pyi
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[-] char.pyi
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[-] shape_base.pyi
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