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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. |
from typing import Any import numpy as np f8 = np.float64() i8 = np.int64() u8 = np.uint64() f4 = np.float32() i4 = np.int32() u4 = np.uint32() td = np.timedelta64(0, "D") b_ = np.bool_() b = bool() f = float() i = int() AR_b: np.ndarray[Any, np.dtype[np.bool_]] AR_m: np.ndarray[Any, np.dtype[np.timedelta64]] # Time structures reveal_type(td % td) # E: timedelta64 reveal_type(AR_m % td) # E: Any reveal_type(td % AR_m) # E: Any reveal_type(divmod(td, td)) # E: Tuple[{int64}, timedelta64] reveal_type(divmod(AR_m, td)) # E: Tuple[ndarray[Any, dtype[signedinteger[typing._64Bit]]], ndarray[Any, dtype[timedelta64]]] reveal_type(divmod(td, AR_m)) # E: Tuple[ndarray[Any, dtype[signedinteger[typing._64Bit]]], ndarray[Any, dtype[timedelta64]]] # Bool reveal_type(b_ % b) # E: {int8} reveal_type(b_ % i) # E: {int_} reveal_type(b_ % f) # E: {float64} reveal_type(b_ % b_) # E: {int8} reveal_type(b_ % i8) # E: {int64} reveal_type(b_ % u8) # E: {uint64} reveal_type(b_ % f8) # E: {float64} reveal_type(b_ % AR_b) # E: ndarray[Any, dtype[{int8}]] reveal_type(divmod(b_, b)) # E: Tuple[{int8}, {int8}] reveal_type(divmod(b_, i)) # E: Tuple[{int_}, {int_}] reveal_type(divmod(b_, f)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(b_, b_)) # E: Tuple[{int8}, {int8}] reveal_type(divmod(b_, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(b_, u8)) # E: Tuple[{uint64}, {uint64}] reveal_type(divmod(b_, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(b_, AR_b)) # E: ndarray[Any, dtype[{int8}]], ndarray[Any, dtype[{int8}]]] reveal_type(b % b_) # E: {int8} reveal_type(i % b_) # E: {int_} reveal_type(f % b_) # E: {float64} reveal_type(b_ % b_) # E: {int8} reveal_type(i8 % b_) # E: {int64} reveal_type(u8 % b_) # E: {uint64} reveal_type(f8 % b_) # E: {float64} reveal_type(AR_b % b_) # E: ndarray[Any, dtype[{int8}]] reveal_type(divmod(b, b_)) # E: Tuple[{int8}, {int8}] reveal_type(divmod(i, b_)) # E: Tuple[{int_}, {int_}] reveal_type(divmod(f, b_)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(b_, b_)) # E: Tuple[{int8}, {int8}] reveal_type(divmod(i8, b_)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(u8, b_)) # E: Tuple[{uint64}, {uint64}] reveal_type(divmod(f8, b_)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(AR_b, b_)) # E: ndarray[Any, dtype[{int8}]], ndarray[Any, dtype[{int8}]]] # int reveal_type(i8 % b) # E: {int64} reveal_type(i8 % i) # E: {int64} reveal_type(i8 % f) # E: {float64} reveal_type(i8 % i8) # E: {int64} reveal_type(i8 % f8) # E: {float64} reveal_type(i4 % i8) # E: {int64} reveal_type(i4 % f8) # E: {float64} reveal_type(i4 % i4) # E: {int32} reveal_type(i4 % f4) # E: {float32} reveal_type(i8 % AR_b) # E: ndarray[Any, dtype[signedinteger[Any]]] reveal_type(divmod(i8, b)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(i8, i)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(i8, f)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i8, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(i8, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i8, i4)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(i8, f4)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i4, i4)) # E: Tuple[{int32}, {int32}] reveal_type(divmod(i4, f4)) # E: Tuple[{float32}, {float32}] reveal_type(divmod(i8, AR_b)) # E: Tuple[ndarray[Any, dtype[signedinteger[Any]]], ndarray[Any, dtype[signedinteger[Any]]]] reveal_type(b % i8) # E: {int64} reveal_type(i % i8) # E: {int64} reveal_type(f % i8) # E: {float64} reveal_type(i8 % i8) # E: {int64} reveal_type(f8 % i8) # E: {float64} reveal_type(i8 % i4) # E: {int64} reveal_type(f8 % i4) # E: {float64} reveal_type(i4 % i4) # E: {int32} reveal_type(f4 % i4) # E: {float32} reveal_type(AR_b % i8) # E: ndarray[Any, dtype[signedinteger[Any]]] reveal_type(divmod(b, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(i, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(f, i8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i8, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(f8, i8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i4, i8)) # E: Tuple[{int64}, {int64}] reveal_type(divmod(f4, i8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i4, i4)) # E: Tuple[{int32}, {int32}] reveal_type(divmod(f4, i4)) # E: Tuple[{float32}, {float32}] reveal_type(divmod(AR_b, i8)) # E: Tuple[ndarray[Any, dtype[signedinteger[Any]]], ndarray[Any, dtype[signedinteger[Any]]]] # float reveal_type(f8 % b) # E: {float64} reveal_type(f8 % i) # E: {float64} reveal_type(f8 % f) # E: {float64} reveal_type(i8 % f4) # E: {float64} reveal_type(f4 % f4) # E: {float32} reveal_type(f8 % AR_b) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(divmod(f8, b)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f8, i)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f8, f)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f8, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f8, f4)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f4, f4)) # E: Tuple[{float32}, {float32}] reveal_type(divmod(f8, AR_b)) # E: Tuple[ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]]] reveal_type(b % f8) # E: {float64} reveal_type(i % f8) # E: {float64} reveal_type(f % f8) # E: {float64} reveal_type(f8 % f8) # E: {float64} reveal_type(f8 % f8) # E: {float64} reveal_type(f4 % f4) # E: {float32} reveal_type(AR_b % f8) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(divmod(b, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(i, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f8, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f4, f8)) # E: Tuple[{float64}, {float64}] reveal_type(divmod(f4, f4)) # E: Tuple[{float32}, {float32}] reveal_type(divmod(AR_b, f8)) # E: Tuple[ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]]]
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