id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
146,789 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _logaddexp2(
x1,
x2,
/,
out=None,
*,
where=True,
casting="same_kind",
order=... | null |
146,790 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def i0(x):
return ivy.i0(x) | null |
146,791 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_out,
handle_numpy_dtype,
handle_numpy_casting,
from_zero_dim_arrays_to_scalar,
)
def _conj(
x,
/,
out=None,
*,
where=True,
casting="same_kind",
order="K",
dtype=... | null |
146,792 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_out,
handle_numpy_dtype,
handle_numpy_casting,
from_zero_dim_arrays_to_scalar,
)
def angle(z, deg=False):
angle = ivy.angle(z, deg=deg)
if deg and len(z.shape) == 0:
angle = ivy... | null |
146,793 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_out,
handle_numpy_dtype,
handle_numpy_casting,
from_zero_dim_arrays_to_scalar,
)
def imag(val):
return ivy.imag(val) | null |
146,794 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_out,
handle_numpy_dtype,
handle_numpy_casting,
from_zero_dim_arrays_to_scalar,
)
def real(val):
return ivy.real(val) | null |
146,795 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _fmax(
x1,
x2,
/,
out=None,
*,
where=True,
casting="same_kind",
order="K",
... | null |
146,796 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _fmin(
x1,
x2,
/,
out=None,
*,
where=True,
casting="same_kind",
order="K",
... | null |
146,797 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _maximum(
x1,
x2,
/,
out=None,
*,
where=True,
casting="same_kind",
order="K"... | null |
146,798 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _minimum(
x1,
x2,
/,
out=None,
*,
where=True,
casting="same_kind",
order="K"... | null |
146,799 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def max(
a,
/,
*,
axis=None,
out=None,
keepdims=False,
initial=None,
where=True,
... | null |
146,800 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def min(
a,
/,
*,
axis=None,
out=None,
keepdims=False,
initial=None,
where=True,
... | null |
146,801 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _absolute(
x,
/,
out... | null |
146,802 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _cbrt(
x,
/,
out=Non... | null |
146,803 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _clip(
a,
a_min,
a_m... | null |
146,804 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _copysign(
x1,
x2,
/... | null |
146,805 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _fabs(
x,
/,
out=Non... | null |
146,806 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _gcd(
x1,
x2,
/,
... | null |
146,807 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _heaviside(
x1,
x2,
... | null |
146,808 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _lcm(
x1,
x2,
/,
... | null |
146,809 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _reciprocal(
x,
/,
o... | null |
146,810 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _sign(
x,
/,
out=Non... | null |
146,811 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _sqrt(
x,
/,
out=Non... | null |
146,812 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def _square(
x,
/,
out=N... | null |
146,813 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def convolve(a, v, mode="full"):
... | null |
146,814 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def gradient(f, *varargs, axis=None,... | null |
146,815 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def interp(x, xp, fp, left=None, rig... | null |
146,816 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def nan_to_num(x, copy=True, nan=0.0... | null |
146,817 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
def real_if_close(a, tol=100):
a... | null |
146,818 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _ceil(
x,
/,
out=None,
*,
where=True,
casting="same_kind",
order="k",
dtype=... | null |
146,819 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _floor(
x,
/,
out=None,
*,
where=True,
casting="same_kind",
order="K",
dtype... | null |
146,820 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def round(a, decimals=0, out=None):
def _rint(
x,
/,
out=None,
*,
where=True,
casting="s... | null |
146,821 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _trunc(
x,
/,
out=None,
*,
where=True,
casting="same_kind",
order="k",
dtype... | null |
146,822 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def round(a, decimals=0, out=None):
return ivy.round(a, decimals=decimals, out=out)
def around(a, decimals=0... | null |
146,823 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def fix(
x,
/,
out=None,
):
where = ivy.greater_equal(x, 0)
return ivy.where(where, ivy.floo... | null |
146,824 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def promote_types_of_numpy_inputs(
... | null |
146,825 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def promote_types_of_numpy_inputs(
... | null |
146,826 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _divmod(
x1,
x2,
/,
... | null |
146,827 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def promote_types_of_numpy_inputs(
... | null |
146,828 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _floor_divide(
x1,
x2,
... | null |
146,829 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _fmod(
x1,
x2,
/,
o... | null |
146,830 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _mod(
x1,
x2,
/,
ou... | null |
146,831 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _modf(
x,
/,
out1_2=(No... | null |
146,832 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def promote_types_of_numpy_inputs(
... | null |
146,833 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _negative(
x,
/,
out=No... | null |
146,834 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _positive(
x,
/,
out=No... | null |
146,835 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def promote_types_of_numpy_inputs(
... | null |
146,836 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _reciprocal(
x,
/,
out=... | null |
146,837 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _remainder(
x1,
x2,
/,
... | null |
146,838 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def promote_types_of_numpy_inputs(
... | null |
146,839 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def promote_types_of_numpy_inputs(
... | null |
146,840 | import ivy
import ivy.functional.frontends.numpy as np_frontend
class dtype:
def __init__(self, dtype_in, align=False, copy=False):
self._ivy_dtype = (
to_ivy_dtype(dtype_in)
if not isinstance(dtype_in, dtype)
else dtype_in._ivy_dtype
)
def __repr__(self):
... | null |
146,841 | import ivy
def finfo(dtype):
return ivy.finfo(dtype) | null |
146,842 | import ivy
def iinfo(dtype):
return ivy.iinfo(dtype) | null |
146,843 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
import ivy.functional.frontends.numpy as np_frontend
def can_cast(from_, to, casting="safe"):
ivy.utils.assertions.check_elem_in_list(
casting,
["no", "equiv", "safe", "same_kind", "unsafe"],
message="... | null |
146,844 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
import ivy.functional.frontends.numpy as np_frontend
all_complex_dtypes = ["complex64", "complex128"]
all_float_dtypes = [
"float16",
"float32",
"float64",
]
all_int_dtypes = ["int8", "int16", "int32", "int64"]
all_uin... | null |
146,845 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
import ivy.functional.frontends.numpy as np_frontend
def promote_types(type1, type2, /):
if isinstance(type1, np_frontend.dtype):
type1 = type1._ivy_dtype
if isinstance(type2, np_frontend.dtype):
type2 = ty... | null |
146,846 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
def argsort(
x,
/,
*,
axis=-1,
kind=None,
order=None,
):
return ivy.argsort(x, axis=axis) | null |
146,847 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
def lexsort(keys, /, *, axis=-1):
return ivy.lexsort(keys, axis=axis) | null |
146,848 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
def msort(a):
return ivy.msort(a) | null |
146,849 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
def sort(a, axis=-1, kind=None, order=None):
def partition(a, kth, axis=-1, kind="introselect", order=None):
sorted_arr = ivy.sort(a, axis=axis)
for k in kth:
index_to_remove = ivy.argwhere(a == sorted_arr[k])[0, ... | null |
146,850 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
def sort(a, axis=-1, kind=None, order=None):
return ivy.sort(a, axis=axis)
def sort_complex(a):
return ivy.sort(a) | null |
146,851 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def argwhere(a):
return ivy.argwhere(a) | null |
146,852 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def extract(cond, arr, /):
if cond.dtype == "bool":
return arr[cond]
else... | null |
146,853 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def nonzero(a):
return ivy.nonzero(a)
def flatnonzero(a):
return ivy.nonzero(ivy.... | null |
146,854 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _nanargminmax(a, axis=None):
# check nans
nans = ivy.isnan(a).astype(ivy.bool)... | null |
146,855 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def _nanargminmax(a, axis=None):
# check nans
nans = ivy.isnan(a).astype(ivy.bool)... | null |
146,856 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
def searchsorted(a, v, side="left", sorter=None):
return ivy.searchsorted(a, v, side=... | null |
146,857 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
)
def count_nonzero(a, axis=None, *, keepdims=False):
x = ivy.array(a)
zero = ivy.zeros(ivy.shape(x), dtype=x.dtype)
return ivy.sum(
ivy.astype(ivy.not_equal(x, zero)... | null |
146,858 | import functools
from typing import Callable, Any
import inspect
import platform
import ivy
import ivy.functional.frontends.numpy as np_frontend
import ivy
from ivy.utils.exceptions import handle_exceptions
from ivy.functional.frontends import set_frontend_to_specific_version
from ivy.functional.... | null |
146,859 | import functools
from typing import Callable, Any
import inspect
import platform
import ivy
import ivy.functional.frontends.numpy as np_frontend
def _assert_array(args, dtype, scalar_check=False, casting="safe"):
def _assert_no_array(args, dtype, scalar_check=False, none=False):
def _assert_no_scalar(args, dtype, none=... | null |
146,860 | import functools
from typing import Callable, Any
import inspect
import platform
import ivy
import ivy.functional.frontends.numpy as np_frontend
import ivy
from ivy.utils.exceptions import handle_exceptions
from ivy.functional.frontends import set_frontend_to_specific_version
from ivy.functional.... | null |
146,861 | import functools
from typing import Callable, Any
import inspect
import platform
import ivy
import ivy.functional.frontends.numpy as np_frontend
def handle_numpy_dtype(fn: Callable) -> Callable:
@functools.wraps(fn)
def _handle_numpy_dtype(*args, dtype=None, **kwargs):
if len(args) > (dtype_pos + 1):
... | null |
146,862 | import functools
from typing import Callable, Any
import inspect
import platform
import ivy
import ivy.functional.frontends.numpy as np_frontend
def _count_operands(subscript):
def handle_numpy_out(fn: Callable) -> Callable:
@functools.wraps(fn)
def _handle_numpy_out(*args, **kwargs):
if "out" not in k... | null |
146,863 | import functools
from typing import Callable, Any
import inspect
import platform
import ivy
import ivy.functional.frontends.numpy as np_frontend
def inputs_to_ivy_arrays(fn: Callable) -> Callable:
def _inputs_to_ivy_arrays_np(*args, **kwargs):
"""Convert all `ndarray` instances in both the positional and ke... | Wrap `fn` so it receives and returns `ivy.Array` instances. Wrap `fn` so that input arrays are all converted to `ivy.Array` instances and return arrays are all converted to `ndarray` instances. |
146,864 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
)
from ivy.func_wrapper import with_unsupported_dtypes
def det(a):
return ivy.det(a) | null |
146,865 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
)
from ivy.func_wrapper import with_unsupported_dtypes
def norm(x, ord=None, axis=None, keepdims=False):
if axis is None and (ord is not None):
if x.ndim not in (1, 2):
... | null |
146,866 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
)
from ivy.func_wrapper import with_unsupported_dtypes
def slogdet(a):
sign, logabsdet = ivy.slogdet(a)
return sign, logabsdet | null |
146,867 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
)
from ivy.func_wrapper import with_unsupported_dtypes
def trace(a, offset=0, axis1=0, axis2=1, out=None):
ret = ivy.trace(a, offset=offset, axis1=axis1, axis2=axis2, out=out)
re... | null |
146,868 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
def cholesky(a):
return ivy.cholesky(a) | null |
146,869 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
def qr(a, mode="reduced"):
return ivy.qr(a, mode=mode) | null |
146,870 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
def svd(a, full_matrices=True, compute_uv=True, hermitian=False):
# Todo: conpute_uv and hermitian handling
return ivy.svd(a, full_matrices=full_matrices, compute_uv=compute_uv) | null |
146,871 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
)
def eigh(a, /, UPLO="L"):
return ivy.eigh(a, UPLO=UPLO) | null |
146,872 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
)
def eig(a):
def eigvals(a):
return ivy.eig(a)[0] | null |
146,873 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
from_zero_dim_arrays_to_scalar,
)
def eigvalsh(a, /, UPLO="L"):
return ivy.eigvalsh(a, UPLO=UPLO) | null |
146,874 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.linalg.norms_and_other_numbers import matrix_rank
def pinv(a, rcond=... | null |
146,875 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.linalg.norms_and_other_numbers import matrix_rank
def promote_types... | null |
146,876 | import ivy
from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
from ivy.func_wrapper import with_unsupported_dtypes
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy.functional.frontends.numpy.linalg.norms_and_other_numbers import matrix_rank
def inv(a):
re... | null |
146,877 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,878 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,879 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,880 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,881 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,882 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,883 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,884 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,885 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,886 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,887 | import ivy
from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
from ivy import with_unsupported_dtypes
from ivy.functional.frontends.numpy.func_wrapper import (
to_ivy_arrays_and_back,
handle_numpy_casting,
handle_numpy_dtype,
from_zero_dim_arrays_to_scalar,
handle_numpy_out,
)
... | null |
146,888 | import struct
import warnings
import ivy
import ivy.functional.frontends.numpy as np_frontend
from ivy.functional.frontends.numpy.func_wrapper import _to_ivy_array
from ivy.func_wrapper import (
with_supported_device_and_dtypes,
)
def _to_bytes_helper(array, order="C"):
def _integers_bytes_repr(item_val, /, *,... | null |
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