id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
148,989 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
148,990 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
148,991 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
148,992 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
148,993 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
148,994 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
148,995 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
148,996 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
148,997 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
148,998 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
148,999 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
149,000 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
149,001 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
149,002 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
149,003 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
149,004 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
149,005 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
149,006 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
149,007 | from numbers import Number
from typing import Union, Optional, List, Sequence, Tuple
import numpy as np
import ivy
from ivy.functional.ivy.creation import (
_asarray_to_native_arrays_and_back,
_asarray_infer_device,
_asarray_infer_dtype,
_asarray_handle_nestable,
NestedSequence,
SupportsBufferPr... | null |
149,008 | import numpy as np
from typing import Union, Optional, Sequence
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
from ivy.utils.einsum_parser import legalise_einsum_expr
def mean(
x: np.ndarray... | null |
149,009 | import numpy as np
from typing import Union, Optional, Sequence
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
from ivy.utils.einsum_parser import legalise_einsum_expr
def _infer_dtype(dtype: np.d... | null |
149,010 | import numpy as np
from typing import Union, Optional, Sequence
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
from ivy.utils.einsum_parser import legalise_einsum_expr
def std(
x: np.ndarray,... | null |
149,011 | import numpy as np
from typing import Union, Optional, Sequence
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
from ivy.utils.einsum_parser import legalise_einsum_expr
import ivy
from ivy.utils.e... | null |
149,012 | import numpy as np
from typing import Union, Optional, Sequence
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
from ivy.utils.einsum_parser import legalise_einsum_expr
import ivy
from ivy.utils.e... | null |
149,013 | import numpy as np
from typing import Union, Optional, Sequence
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
from ivy.utils.einsum_parser import legalise_einsum_expr
def _infer_dtype(dtype: np.d... | null |
149,014 | import numpy as np
from typing import Union, Optional, Sequence
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
from ivy.utils.einsum_parser import legalise_einsum_expr
def _infer_dtype(dtype: np.d... | null |
149,015 | import numpy as np
from typing import Union, Optional, Sequence
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
from ivy.utils.einsum_parser import legalise_einsum_expr
def legalise_einsum_expr(*o... | null |
149,016 | import numpy as np
from typing import Union, Optional, Sequence
import ivy
import ivy
from ivy.utils.exceptions import handle_exceptions
from ivy.functional.frontends import set_frontend_to_specific_version
from ivy.functional.frontends.numpy.mathematical_functions.miscellaneous import (
_abs... | null |
149,017 | import numpy as np
from typing import Union, Optional, Sequence
import ivy
def any(
x: np.ndarray,
/,
*,
axis: Optional[Union[int, Sequence[int]]] = None,
keepdims: bool = False,
out: Optional[np.ndarray] = None,
) -> np.ndarray:
return np.asarray(np.any(x, axis=axis, keepdims=keepdims, out... | null |
149,018 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
def relu(
x: np.ndarray, /, *, complex_mode="jax", out: Optional[np.ndarray] = None... | null |
149,019 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
def leaky_relu(
x: np.ndarray,
/,
*,
alpha: float = 0.2,
complex_mo... | null |
149,020 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exceptions
from ivy.functional.front... | null |
149,021 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exceptions
from ivy.functional.front... | null |
149,022 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
def softmax(
x: np.ndarray, /, *, axis: Optional[int] = None, out: Optional[np.ndar... | null |
149,023 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
def softplus(
x: np.ndarray,
/,
*,
beta: Optional[Union[int, float]] = ... | null |
149,024 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
def softsign(x: np.ndarray, /, out: Optional[np.ndarray] = None) -> np.ndarray:
ret... | null |
149,025 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
def log_softmax(
x: np.ndarray,
/,
*,
axis: Optional[int] = -1,
com... | null |
149,026 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
def mish(
x: np.ndarray,
/,
*,
complex_mode: Literal["split", "magnitud... | null |
149,027 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
def hardswish(
x: np.ndarray,
/,
*,
complex_mode: Literal["split", "mag... | null |
149,028 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exceptions
from ivy.functional.frontends import set_fronte... | null |
149,029 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def expand_dims(
x: np.ndarray,
/,
*,
copy: Optional[bool] = None,
axis: Union[int, Seque... | null |
149,030 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def flip(
x: np.ndarray,
/,
*,
copy: Optional[bool] = None,
axis: Optional[Union[int, Seq... | null |
149,031 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def permute_dims(
x: np.ndarray,
/,
axes: Tuple[int, ...],
*,
copy: Optional[bool] = None... | null |
149,032 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def roll(
x: np.ndarray,
/,
shift: Union[int, Sequence[int]],
*,
axis: Optional[Union[int... | null |
149,033 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def stack(
arrays: Union[Tuple[np.ndarray], List[np.ndarray]],
/,
*,
axis: int = 0,
out: ... | null |
149,034 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def repeat(
x: np.ndarray,
/,
repeats: Union[int, List[int]],
*,
axis: Optional[int] = No... | null |
149,035 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def tile(
x: np.ndarray, /, repeats: Sequence[int], *, out: Optional[np.ndarray] = None
) -> np.ndarray:
... | null |
149,036 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def _flat_array_to_1_dim_array(x):
return x.reshape((1,)) if x.shape == () else x
def constant_pad(
x... | null |
149,037 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def _flat_array_to_1_dim_array(x):
return x.reshape((1,)) if x.shape == () else x
def zero_pad(
x: np... | null |
149,038 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def swapaxes(
x: np.ndarray,
axis0: int,
axis1: int,
/,
*,
copy: Optional[bool] = Non... | null |
149,039 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def squeeze(
x: np.ndarray,
/,
*,
axis: Optional[Union[int, Sequence[int]]] = None,
copy: ... | null |
149,040 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exceptions
from ivy.functional.frontends import set_fronte... | null |
149,041 | import math
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exceptions
from ivy.functional.frontends import set_fronte... | null |
149,042 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def acos(x: np.ndarray, /, *, out: Optional[np.ndarray... | null |
149,043 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def acosh(x: np.ndarray, /, *, out: Optional[np.ndarra... | null |
149,044 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def multiply(
x1: Union[float, np.ndarray],
x2:... | null |
149,045 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def asin(x: np.ndarray, /, *, out: Optional[np.ndarray... | null |
149,046 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def asinh(x: np.ndarray, /, *, out: Optional[np.ndarra... | null |
149,047 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def atan(x: np.ndarray, /, *, out: Optional[np.ndarray... | null |
149,048 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,049 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def atanh(x: np.ndarray, /, *, out: Optional[np.ndarra... | null |
149,050 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,051 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def bitwise_invert(
x: Union[int, bool, np.ndarray... | null |
149,052 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,053 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,054 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,055 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,056 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def cos(x: np.ndarray, /, *, out: Optional[np.ndarray]... | null |
149,057 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def cosh(x: np.ndarray, /, *, out: Optional[np.ndarray... | null |
149,058 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,059 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def exp2(
x: Union[np.ndarray, float, list, tuple]... | null |
149,060 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def expm1(x: np.ndarray, /, *, out: Optional[np.ndarra... | null |
149,061 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def divide(
x1: Union[float, np.ndarray],
x2: U... | null |
149,062 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def fmin(
x1: np.ndarray,
x2: np.ndarray,
... | null |
149,063 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,064 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,065 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def isfinite(x: np.ndarray, /, *, out: Optional[np.nda... | null |
149,066 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def isnan(x: np.ndarray, /, *, out: Optional[np.ndarra... | null |
149,067 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def lcm(
x1: np.ndarray,
x2: np.ndarray,
/... | null |
149,068 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,069 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,070 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def log(x: np.ndarray, /, *, out: Optional[np.ndarray]... | null |
149,071 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def log10(x: np.ndarray, /, *, out: Optional[np.ndarra... | null |
149,072 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def log1p(x: np.ndarray, /, *, out: Optional[np.ndarra... | null |
149,073 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def log2(x: np.ndarray, /, *, out: Optional[np.ndarray... | null |
149,074 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,075 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,076 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def logical_and(
x1: np.ndarray, x2: np.ndarray, /... | null |
149,077 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def logical_not(x: np.ndarray, /, *, out: Optional[np.... | null |
149,078 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def logical_or(
x1: np.ndarray, x2: np.ndarray, /,... | null |
149,079 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def logical_xor(
x1: np.ndarray, x2: np.ndarray, /... | null |
149,080 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def negative(
x: Union[float, np.ndarray], /, *, o... | null |
149,081 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
import ivy
from ivy.utils.exceptions import handle_exc... | null |
149,082 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def positive(
x: Union[float, np.ndarray], /, *, o... | null |
149,083 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def isinf(
x: np.ndarray,
/,
*,
detect_... | null |
149,084 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def ceil(x: np.ndarray, /, *, out: Optional[np.ndarray]... | null |
149,085 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def sin(x: np.ndarray, /, *, out: Optional[np.ndarray]... | null |
149,086 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def sinh(x: np.ndarray, /, *, out: Optional[np.ndarray... | null |
149,087 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def sqrt(x: np.ndarray, /, *, out: Optional[np.ndarray... | null |
149,088 | from typing import Union, Optional
import numpy as np
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from . import backend_version
def square(x: np.ndarray, /, *, out: Optional[np.ndarr... | null |
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