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| Name | Type | Size | Last Modified | Actions |
|---|---|---|---|---|
| arithmetic.pyi | File | 20805 bytes | April 17 2025 13:10:58. | |
| array_constructors.pyi | File | 11831 bytes | April 17 2025 13:10:58. | |
| arraypad.pyi | File | 694 bytes | April 17 2025 13:10:58. | |
| arrayprint.pyi | File | 686 bytes | April 17 2025 13:10:58. | |
| arraysetops.pyi | File | 4671 bytes | April 17 2025 13:10:58. | |
| arrayterator.pyi | File | 1128 bytes | April 17 2025 13:10:58. | |
| bitwise_ops.pyi | File | 3607 bytes | April 17 2025 13:10:58. | |
| char.pyi | File | 8047 bytes | April 17 2025 13:10:58. | |
| chararray.pyi | File | 6312 bytes | April 17 2025 13:10:58. | |
| comparisons.pyi | File | 8018 bytes | April 17 2025 13:10:58. | |
| constants.pyi | File | 1940 bytes | April 17 2025 13:10:58. | |
| ctypeslib.pyi | File | 5107 bytes | April 17 2025 13:10:58. | |
| datasource.pyi | File | 557 bytes | April 17 2025 13:10:58. | |
| dtype.pyi | File | 2787 bytes | April 17 2025 13:10:58. | |
| einsumfunc.pyi | File | 2173 bytes | April 17 2025 13:10:58. | |
| emath.pyi | File | 2538 bytes | April 17 2025 13:10:58. | |
| false_positives.pyi | File | 349 bytes | April 17 2025 13:10:58. | |
| fft.pyi | File | 1852 bytes | April 17 2025 13:10:58. | |
| flatiter.pyi | File | 819 bytes | April 17 2025 13:10:58. | |
| fromnumeric.pyi | File | 13631 bytes | April 17 2025 13:10:58. | |
| getlimits.pyi | File | 1547 bytes | April 17 2025 13:10:58. | |
| histograms.pyi | File | 1391 bytes | April 17 2025 13:10:58. | |
| index_tricks.pyi | File | 3481 bytes | April 17 2025 13:10:58. | |
| lib_function_base.pyi | File | 9140 bytes | April 17 2025 13:10:58. | |
| lib_polynomial.pyi | File | 6353 bytes | April 17 2025 13:10:58. | |
| lib_utils.pyi | File | 917 bytes | April 17 2025 13:10:58. | |
| lib_version.pyi | File | 605 bytes | April 17 2025 13:10:58. | |
| linalg.pyi | File | 5217 bytes | April 17 2025 13:10:58. | |
| matrix.pyi | File | 3033 bytes | April 17 2025 13:10:58. | |
| memmap.pyi | File | 755 bytes | April 17 2025 13:10:58. | |
| mod.pyi | File | 5989 bytes | April 17 2025 13:10:58. | |
| modules.pyi | File | 1994 bytes | April 17 2025 13:10:58. | |
| multiarray.pyi | File | 5670 bytes | April 17 2025 13:10:58. | |
| nbit_base_example.pyi | File | 500 bytes | April 17 2025 13:10:58. | |
| ndarray_conversion.pyi | File | 1913 bytes | April 17 2025 13:10:58. | |
| ndarray_misc.pyi | File | 7797 bytes | April 17 2025 13:10:58. | |
| ndarray_shape_manipulation.pyi | File | 904 bytes | April 17 2025 13:10:58. | |
| nditer.pyi | File | 2067 bytes | April 17 2025 13:10:58. | |
| nested_sequence.pyi | File | 648 bytes | April 17 2025 13:10:58. | |
| npyio.pyi | File | 4434 bytes | April 17 2025 13:10:58. | |
| numeric.pyi | File | 6802 bytes | April 17 2025 13:10:58. | |
| numerictypes.pyi | File | 1711 bytes | April 17 2025 13:10:58. | |
| random.pyi | File | 129510 bytes | April 17 2025 13:10:58. | |
| rec.pyi | File | 3380 bytes | April 17 2025 13:10:58. | |
| scalars.pyi | File | 5347 bytes | April 17 2025 13:10:58. | |
| shape_base.pyi | File | 2632 bytes | April 17 2025 13:10:58. | |
| stride_tricks.pyi | File | 1563 bytes | April 17 2025 13:10:58. | |
| testing.pyi | File | 8877 bytes | April 17 2025 13:10:58. | |
| twodim_base.pyi | File | 3327 bytes | April 17 2025 13:10:58. | |
| type_check.pyi | File | 3031 bytes | April 17 2025 13:10:58. | |
| ufunc_config.pyi | File | 1304 bytes | April 17 2025 13:10:58. | |
| ufunclike.pyi | File | 1319 bytes | April 17 2025 13:10:58. | |
| ufuncs.pyi | File | 2919 bytes | April 17 2025 13:10:58. | |
| version.pyi | File | 313 bytes | April 17 2025 13:10:58. | |
| warnings_and_errors.pyi | File | 420 bytes | April 17 2025 13:10:58. |
import numpy as np import numpy.typing as npt AR_f8: npt.NDArray[np.float64] AR_c16: npt.NDArray[np.complex128] f8: np.float64 c16: np.complex128 reveal_type(np.emath.sqrt(f8)) # E: Any reveal_type(np.emath.sqrt(AR_f8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.emath.sqrt(c16)) # E: complexfloating[Any, Any] reveal_type(np.emath.sqrt(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.emath.log(f8)) # E: Any reveal_type(np.emath.log(AR_f8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.emath.log(c16)) # E: complexfloating[Any, Any] reveal_type(np.emath.log(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.emath.log10(f8)) # E: Any reveal_type(np.emath.log10(AR_f8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.emath.log10(c16)) # E: complexfloating[Any, Any] reveal_type(np.emath.log10(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.emath.log2(f8)) # E: Any reveal_type(np.emath.log2(AR_f8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.emath.log2(c16)) # E: complexfloating[Any, Any] reveal_type(np.emath.log2(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.emath.logn(f8, 2)) # E: Any reveal_type(np.emath.logn(AR_f8, 4)) # E: ndarray[Any, dtype[Any]] reveal_type(np.emath.logn(f8, 1j)) # E: complexfloating[Any, Any] reveal_type(np.emath.logn(AR_c16, 1.5)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.emath.power(f8, 2)) # E: Any reveal_type(np.emath.power(AR_f8, 4)) # E: ndarray[Any, dtype[Any]] reveal_type(np.emath.power(f8, 2j)) # E: complexfloating[Any, Any] reveal_type(np.emath.power(AR_c16, 1.5)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.emath.arccos(f8)) # E: Any reveal_type(np.emath.arccos(AR_f8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.emath.arccos(c16)) # E: complexfloating[Any, Any] reveal_type(np.emath.arccos(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.emath.arcsin(f8)) # E: Any reveal_type(np.emath.arcsin(AR_f8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.emath.arcsin(c16)) # E: complexfloating[Any, Any] reveal_type(np.emath.arcsin(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.emath.arctanh(f8)) # E: Any reveal_type(np.emath.arctanh(AR_f8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.emath.arctanh(c16)) # E: complexfloating[Any, Any] reveal_type(np.emath.arctanh(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
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