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10/26/2024 01:29:59 PM
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arithmetic.pyi
20.32 KB
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array_constructors.pyi
11.55 KB
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arraypad.pyi
694 bytes
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arrayprint.pyi
686 bytes
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arraysetops.pyi
4.56 KB
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arrayterator.pyi
1.1 KB
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bitwise_ops.pyi
3.52 KB
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char.pyi
7.86 KB
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chararray.pyi
6.16 KB
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comparisons.pyi
7.83 KB
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constants.pyi
1.89 KB
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ctypeslib.pyi
4.99 KB
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datasource.pyi
557 bytes
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dtype.pyi
2.64 KB
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einsumfunc.pyi
2.03 KB
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emath.pyi
2.48 KB
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false_positives.pyi
349 bytes
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fft.pyi
1.81 KB
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flatiter.pyi
819 bytes
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fromnumeric.pyi
13.31 KB
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getlimits.pyi
1.51 KB
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histograms.pyi
1.36 KB
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index_tricks.pyi
3.4 KB
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lib_function_base.pyi
8.93 KB
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lib_polynomial.pyi
6.2 KB
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lib_utils.pyi
917 bytes
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lib_version.pyi
605 bytes
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linalg.pyi
6.24 KB
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matrix.pyi
2.96 KB
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memmap.pyi
755 bytes
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mod.pyi
5.85 KB
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modules.pyi
1.87 KB
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multiarray.pyi
5.54 KB
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nbit_base_example.pyi
500 bytes
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ndarray_conversion.pyi
1.87 KB
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ndarray_misc.pyi
7.61 KB
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ndarray_shape_manipulation.pyi
904 bytes
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nditer.pyi
2.02 KB
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nested_sequence.pyi
648 bytes
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npyio.pyi
4.36 KB
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numeric.pyi
6.64 KB
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numerictypes.pyi
1.74 KB
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random.pyi
126.47 KB
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rec.pyi
3.3 KB
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scalars.pyi
5.27 KB
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shape_base.pyi
2.57 KB
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stride_tricks.pyi
1.53 KB
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testing.pyi
8.81 KB
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twodim_base.pyi
3.25 KB
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type_check.pyi
2.96 KB
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ufunc_config.pyi
1.27 KB
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ufunclike.pyi
1.29 KB
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ufuncs.pyi
2.85 KB
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version.pyi
313 bytes
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warnings_and_errors.pyi
420 bytes
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Editing: rec.pyi
Close
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"], ))