Current Path: > > opt > cloudlinux > venv > lib64 > python3.11 > > site-packages > numpy > typing > tests > > data > reveal
Operation : Linux premium131.web-hosting.com 4.18.0-553.44.1.lve.el8.x86_64 #1 SMP Thu Mar 13 14:29:12 UTC 2025 x86_64 Software : Apache Server IP : 162.0.232.56 | Your IP: 216.73.216.111 Domains : 1034 Domain(s) Permission : [ 0755 ]
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 io from typing import Any import numpy as np import numpy.typing as npt AR_i8: npt.NDArray[np.int64] REC_AR_V: np.recarray[Any, np.dtype[np.record]] AR_LIST: list[npt.NDArray[np.int64]] format_parser: np.format_parser record: np.record file_obj: io.BufferedIOBase reveal_type(np.format_parser( # E: format_parser formats=[np.float64, np.int64, np.bool_], names=["f8", "i8", "?"], titles=None, aligned=True, )) reveal_type(format_parser.dtype) # E: dtype[void] reveal_type(record.field_a) # E: Any reveal_type(record.field_b) # E: Any reveal_type(record["field_a"]) # E: Any reveal_type(record["field_b"]) # E: Any reveal_type(record.pprint()) # E: str record.field_c = 5 reveal_type(REC_AR_V.field(0)) # E: Any reveal_type(REC_AR_V.field("field_a")) # E: Any reveal_type(REC_AR_V.field(0, AR_i8)) # E: None reveal_type(REC_AR_V.field("field_a", AR_i8)) # E: None reveal_type(REC_AR_V["field_a"]) # E: Any reveal_type(REC_AR_V.field_a) # E: Any reveal_type(REC_AR_V.__array_finalize__(object())) # E: None reveal_type(np.recarray( # recarray[Any, dtype[record]] shape=(10, 5), formats=[np.float64, np.int64, np.bool_], order="K", byteorder="|", )) reveal_type(np.recarray( # recarray[Any, dtype[Any]] shape=(10, 5), dtype=[("f8", np.float64), ("i8", np.int64)], strides=(5, 5), )) reveal_type(np.rec.fromarrays( # recarray[Any, dtype[record]] AR_LIST, )) reveal_type(np.rec.fromarrays( # recarray[Any, dtype[Any]] AR_LIST, dtype=np.int64, )) reveal_type(np.rec.fromarrays( # recarray[Any, dtype[Any]] AR_LIST, formats=[np.int64, np.float64], names=["i8", "f8"] )) reveal_type(np.rec.fromrecords( # recarray[Any, dtype[record]] (1, 1.5), )) reveal_type(np.rec.fromrecords( # recarray[Any, dtype[record]] [(1, 1.5)], dtype=[("i8", np.int64), ("f8", np.float64)], )) reveal_type(np.rec.fromrecords( # recarray[Any, dtype[record]] REC_AR_V, formats=[np.int64, np.float64], names=["i8", "f8"] )) reveal_type(np.rec.fromstring( # recarray[Any, dtype[record]] b"(1, 1.5)", dtype=[("i8", np.int64), ("f8", np.float64)], )) reveal_type(np.rec.fromstring( # recarray[Any, dtype[record]] REC_AR_V, formats=[np.int64, np.float64], names=["i8", "f8"] )) reveal_type(np.rec.fromfile( # recarray[Any, dtype[Any]] "test_file.txt", dtype=[("i8", np.int64), ("f8", np.float64)], )) reveal_type(np.rec.fromfile( # recarray[Any, dtype[record]] file_obj, formats=[np.int64, np.float64], names=["i8", "f8"] )) reveal_type(np.rec.array( # recarray[Any, dtype[{int64}]] AR_i8, )) reveal_type(np.rec.array( # recarray[Any, dtype[Any]] [(1, 1.5)], dtype=[("i8", np.int64), ("f8", np.float64)], )) reveal_type(np.rec.array( # recarray[Any, dtype[record]] [(1, 1.5)], formats=[np.int64, np.float64], names=["i8", "f8"] )) reveal_type(np.rec.array( # recarray[Any, dtype[Any]] None, dtype=np.float64, shape=(10, 3), )) reveal_type(np.rec.array( # recarray[Any, dtype[Any]] None, formats=[np.int64, np.float64], names=["i8", "f8"], shape=(10, 3), )) reveal_type(np.rec.array( # recarray[Any, dtype[Any]] file_obj, dtype=np.float64, )) reveal_type(np.rec.array( # recarray[Any, dtype[Any]] file_obj, formats=[np.int64, np.float64], names=["i8", "f8"], ))
SILENT KILLER Tool