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Name | Type | Size | Last Modified | Actions |
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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 from typing import Any AR_U: np.chararray[Any, np.dtype[np.str_]] AR_S: np.chararray[Any, np.dtype[np.bytes_]] reveal_type(AR_U == AR_U) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S == AR_S) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U != AR_U) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S != AR_S) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U >= AR_U) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S >= AR_S) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U <= AR_U) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S <= AR_S) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U > AR_U) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S > AR_S) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U < AR_U) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S < AR_S) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U * 5) # E: chararray[Any, dtype[str_]] reveal_type(AR_S * [5]) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U % "test") # E: chararray[Any, dtype[str_]] reveal_type(AR_S % b"test") # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.capitalize()) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.capitalize()) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.center(5)) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.center([2, 3, 4], b"a")) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.encode()) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_S.decode()) # E: chararray[Any, dtype[str_]] reveal_type(AR_U.expandtabs()) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.expandtabs(tabsize=4)) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.join("_")) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.join([b"_", b""])) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.ljust(5)) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.ljust([4, 3, 1], fillchar=[b"a", b"b", b"c"])) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.rjust(5)) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.rjust([4, 3, 1], fillchar=[b"a", b"b", b"c"])) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.lstrip()) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.lstrip(chars=b"_")) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.rstrip()) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.rstrip(chars=b"_")) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.strip()) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.strip(chars=b"_")) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.partition("\n")) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.partition([b"a", b"b", b"c"])) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.rpartition("\n")) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.rpartition([b"a", b"b", b"c"])) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.replace("_", "-")) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.replace([b"_", b""], [b"a", b"b"])) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.split("_")) # E: ndarray[Any, dtype[object_]] reveal_type(AR_S.split(maxsplit=[1, 2, 3])) # E: ndarray[Any, dtype[object_]] reveal_type(AR_U.rsplit("_")) # E: ndarray[Any, dtype[object_]] reveal_type(AR_S.rsplit(maxsplit=[1, 2, 3])) # E: ndarray[Any, dtype[object_]] reveal_type(AR_U.splitlines()) # E: ndarray[Any, dtype[object_]] reveal_type(AR_S.splitlines(keepends=[True, True, False])) # E: ndarray[Any, dtype[object_]] reveal_type(AR_U.swapcase()) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.swapcase()) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.title()) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.title()) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.upper()) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.upper()) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.zfill(5)) # E: chararray[Any, dtype[str_]] reveal_type(AR_S.zfill([2, 3, 4])) # E: chararray[Any, dtype[bytes_]] reveal_type(AR_U.count("a", start=[1, 2, 3])) # E: ndarray[Any, dtype[{int_}]] reveal_type(AR_S.count([b"a", b"b", b"c"], end=9)) # E: ndarray[Any, dtype[{int_}]] reveal_type(AR_U.endswith("a", start=[1, 2, 3])) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.endswith([b"a", b"b", b"c"], end=9)) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.startswith("a", start=[1, 2, 3])) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.startswith([b"a", b"b", b"c"], end=9)) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.find("a", start=[1, 2, 3])) # E: ndarray[Any, dtype[{int_}]] reveal_type(AR_S.find([b"a", b"b", b"c"], end=9)) # E: ndarray[Any, dtype[{int_}]] reveal_type(AR_U.rfind("a", start=[1, 2, 3])) # E: ndarray[Any, dtype[{int_}]] reveal_type(AR_S.rfind([b"a", b"b", b"c"], end=9)) # E: ndarray[Any, dtype[{int_}]] reveal_type(AR_U.index("a", start=[1, 2, 3])) # E: ndarray[Any, dtype[{int_}]] reveal_type(AR_S.index([b"a", b"b", b"c"], end=9)) # E: ndarray[Any, dtype[{int_}]] reveal_type(AR_U.rindex("a", start=[1, 2, 3])) # E: ndarray[Any, dtype[{int_}]] reveal_type(AR_S.rindex([b"a", b"b", b"c"], end=9)) # E: ndarray[Any, dtype[{int_}]] reveal_type(AR_U.isalpha()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.isalpha()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.isalnum()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.isalnum()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.isdecimal()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.isdecimal()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.isdigit()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.isdigit()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.islower()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.islower()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.isnumeric()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.isnumeric()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.isspace()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.isspace()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.istitle()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.istitle()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.isupper()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_S.isupper()) # E: ndarray[Any, dtype[bool_]] reveal_type(AR_U.__array_finalize__(object())) # E: None reveal_type(AR_S.__array_finalize__(object())) # E: None
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