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📄 arithmetic.pyi
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📄 array_constructors.pyi
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📄 array_like.pyi
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📄 array_pad.pyi
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📄 arrayprint.pyi
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📄 arrayterator.pyi
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📄 bitwise_ops.pyi
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📄 char.pyi
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📄 chararray.pyi
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📄 comparisons.pyi
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📄 constants.pyi
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📄 datasource.pyi
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📄 dtype.pyi
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📄 einsumfunc.pyi
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📄 false_positives.pyi
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📄 flatiter.pyi
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📄 fromnumeric.pyi
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📄 histograms.pyi
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📄 index_tricks.pyi
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📄 lib_function_base.pyi
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📄 lib_polynomial.pyi
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📄 lib_utils.pyi
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📄 lib_version.pyi
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📄 linalg.pyi
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📄 memmap.pyi
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📄 modules.pyi
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📄 multiarray.pyi
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📄 ndarray.pyi
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📄 ndarray_misc.pyi
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📄 nditer.pyi
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📄 nested_sequence.pyi
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📄 npyio.pyi
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📄 numerictypes.pyi
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📄 random.pyi
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📄 rec.pyi
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📄 scalars.pyi
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📄 shape_base.pyi
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📄 stride_tricks.pyi
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📄 testing.pyi
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📄 twodim_base.pyi
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📄 type_check.pyi
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📄 ufunc_config.pyi
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📄 ufunclike.pyi
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📄 ufuncs.pyi
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📄 warnings_and_errors.pyi
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EDITING: arrayterator.pyi
from typing import Any import numpy as np AR_i8: np.ndarray[Any, np.dtype[np.int64]] ar_iter = np.lib.Arrayterator(AR_i8) np.lib.Arrayterator(np.int64()) # E: incompatible type ar_iter.shape = (10, 5) # E: is read-only ar_iter[None] # E: Invalid index type ar_iter[None, 1] # E: Invalid index type ar_iter[np.intp()] # E: Invalid index type ar_iter[np.intp(), ...] # E: Invalid index type ar_iter[AR_i8] # E: Invalid index type ar_iter[AR_i8, :] # E: Invalid index type
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