$65 GRAYBYTE WORDPRESS FILE MANAGER $82

SERVER : vnpttt-amd7f72-h1.vietnix.vn #1 SMP Fri May 24 12:42:50 UTC 2024
SERVER IP : 103.200.23.149 | ADMIN IP 216.73.216.22
OPTIONS : CRL = ON | WGT = ON | SDO = OFF | PKEX = OFF
DEACTIVATED : NONE

/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/reveal/

HOME
Current File : /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/reveal//mod.pyi
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]]]]

Current_dir [ NOT WRITEABLE ] Document_root [ WRITEABLE ]


[ Back ]
NAME
SIZE
LAST TOUCH
USER
CAN-I?
FUNCTIONS
..
--
14 Aug 2025 9.24 PM
root / root
0755
arithmetic.pyi
20.317 KB
17 Apr 2025 8.10 PM
root / root
0644
array_constructors.pyi
11.554 KB
17 Apr 2025 8.10 PM
root / root
0644
arraypad.pyi
0.678 KB
17 Apr 2025 8.10 PM
root / root
0644
arrayprint.pyi
0.67 KB
17 Apr 2025 8.10 PM
root / root
0644
arraysetops.pyi
4.562 KB
17 Apr 2025 8.10 PM
root / root
0644
arrayterator.pyi
1.102 KB
17 Apr 2025 8.10 PM
root / root
0644
bitwise_ops.pyi
3.522 KB
17 Apr 2025 8.10 PM
root / root
0644
char.pyi
7.858 KB
17 Apr 2025 8.10 PM
root / root
0644
chararray.pyi
6.164 KB
17 Apr 2025 8.10 PM
root / root
0644
comparisons.pyi
7.83 KB
17 Apr 2025 8.10 PM
root / root
0644
constants.pyi
1.895 KB
17 Apr 2025 8.10 PM
root / root
0644
ctypeslib.pyi
4.987 KB
17 Apr 2025 8.10 PM
root / root
0644
datasource.pyi
0.544 KB
17 Apr 2025 8.10 PM
root / root
0644
dtype.pyi
2.722 KB
17 Apr 2025 8.10 PM
root / root
0644
einsumfunc.pyi
2.122 KB
17 Apr 2025 8.10 PM
root / root
0644
emath.pyi
2.479 KB
17 Apr 2025 8.10 PM
root / root
0644
false_positives.pyi
0.341 KB
17 Apr 2025 8.10 PM
root / root
0644
fft.pyi
1.809 KB
17 Apr 2025 8.10 PM
root / root
0644
flatiter.pyi
0.8 KB
17 Apr 2025 8.10 PM
root / root
0644
fromnumeric.pyi
13.312 KB
17 Apr 2025 8.10 PM
root / root
0644
getlimits.pyi
1.511 KB
17 Apr 2025 8.10 PM
root / root
0644
histograms.pyi
1.358 KB
17 Apr 2025 8.10 PM
root / root
0644
index_tricks.pyi
3.399 KB
17 Apr 2025 8.10 PM
root / root
0644
lib_function_base.pyi
8.926 KB
17 Apr 2025 8.10 PM
root / root
0644
lib_polynomial.pyi
6.204 KB
17 Apr 2025 8.10 PM
root / root
0644
lib_utils.pyi
0.896 KB
17 Apr 2025 8.10 PM
root / root
0644
lib_version.pyi
0.591 KB
17 Apr 2025 8.10 PM
root / root
0644
linalg.pyi
5.095 KB
17 Apr 2025 8.10 PM
root / root
0644
matrix.pyi
2.962 KB
17 Apr 2025 8.10 PM
root / root
0644
memmap.pyi
0.737 KB
17 Apr 2025 8.10 PM
root / root
0644
mod.pyi
5.849 KB
17 Apr 2025 8.10 PM
root / root
0644
modules.pyi
1.947 KB
17 Apr 2025 8.10 PM
root / root
0644
multiarray.pyi
5.537 KB
17 Apr 2025 8.10 PM
root / root
0644
nbit_base_example.pyi
0.488 KB
17 Apr 2025 8.10 PM
root / root
0644
ndarray_conversion.pyi
1.868 KB
17 Apr 2025 8.10 PM
root / root
0644
ndarray_misc.pyi
7.614 KB
17 Apr 2025 8.10 PM
root / root
0644
ndarray_shape_manipulation.pyi
0.883 KB
17 Apr 2025 8.10 PM
root / root
0644
nditer.pyi
2.019 KB
17 Apr 2025 8.10 PM
root / root
0644
nested_sequence.pyi
0.633 KB
17 Apr 2025 8.10 PM
root / root
0644
npyio.pyi
4.33 KB
17 Apr 2025 8.10 PM
root / root
0644
numeric.pyi
6.643 KB
17 Apr 2025 8.10 PM
root / root
0644
numerictypes.pyi
1.671 KB
17 Apr 2025 8.10 PM
root / root
0644
random.pyi
126.475 KB
17 Apr 2025 8.10 PM
root / root
0644
rec.pyi
3.301 KB
17 Apr 2025 8.10 PM
root / root
0644
scalars.pyi
5.222 KB
17 Apr 2025 8.10 PM
root / root
0644
shape_base.pyi
2.57 KB
17 Apr 2025 8.10 PM
root / root
0644
stride_tricks.pyi
1.526 KB
17 Apr 2025 8.10 PM
root / root
0644
testing.pyi
8.669 KB
17 Apr 2025 8.10 PM
root / root
0644
twodim_base.pyi
3.249 KB
17 Apr 2025 8.10 PM
root / root
0644
type_check.pyi
2.96 KB
17 Apr 2025 8.10 PM
root / root
0644
ufunc_config.pyi
1.273 KB
17 Apr 2025 8.10 PM
root / root
0644
ufunclike.pyi
1.288 KB
17 Apr 2025 8.10 PM
root / root
0644
ufuncs.pyi
2.851 KB
17 Apr 2025 8.10 PM
root / root
0644
version.pyi
0.306 KB
17 Apr 2025 8.10 PM
root / root
0644
warnings_and_errors.pyi
0.41 KB
17 Apr 2025 8.10 PM
root / root
0644

GRAYBYTE WORDPRESS FILE MANAGER @ 2026 CONTACT ME
Static GIF