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# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
from typing import (
Any,
Container,
Generic,
Iterable,
Optional,
Sized,
SupportsAbs,
SupportsBytes,
SupportsComplex,
SupportsFloat,
SupportsInt,
Tuple,
Type,
TypeVar,
Union,
overload,
)
from pyre_extensions import TypeVarTuple, Unpack
from typing_extensions import Literal
DType = TypeVar("DType")
NewDType = TypeVar("NewDType")
Ts = TypeVarTuple("Ts")
Ts2 = TypeVarTuple("Ts2")
N = TypeVar("N", bound=int)
A1 = TypeVar("A1")
A2 = TypeVar("A2")
class _ArrayOrScalarCommon(
Generic[DType, Unpack[Ts]],
SupportsInt,
SupportsFloat,
SupportsComplex,
SupportsBytes,
SupportsAbs[Any],
): ...
class float: ...
class ndarray(_ArrayOrScalarCommon[DType, Unpack[Ts]], Iterable, Sized, Container):
def __init__(
self,
shape: Tuple[Unpack[Ts]],
dtype: Type[DType] = ...,
buffer=...,
offset: Optional[int] = ...,
strides: Tuple[int, ...] = ...,
order: Optional[str] = ...,
) -> None: ...
@overload
def __getitem__(
self: ndarray[DType, A1, A2], key: Literal[0]
) -> ndarray[DType, A2]: ...
@overload
def __getitem__(
self: ndarray[DType, A1, A2], key: Literal[1]
) -> ndarray[DType, A1]: ...
def __setitem__(self, key, value): ...
@property
def shape(self) -> Tuple[Unpack[Ts]]: ...
@overload
def reshape(self, shape: Tuple[Unpack[Ts2]]) -> ndarray[DType, Unpack[Ts2]]: ...
@overload
def reshape(self, *shape: Unpack[Ts2]) -> ndarray[DType, Unpack[Ts2]]: ...
def __add__(self, other) -> ndarray[DType, Unpack[Ts]]: ...
def __div__(self, other) -> ndarray[DType, Unpack[Ts]]: ...
def __truediv__(self, other) -> ndarray[DType, Unpack[Ts]]: ...
# ===== BEGIN `astype` =====
@overload
def astype(self, dtype: Type[NewDType]) -> ndarray[NewDType, Unpack[Ts]]: ...
@overload
def astype(self, dtype: Literal["int64"]) -> ndarray[int64, Unpack[Ts]]: ...
@overload
def astype(self, dtype: Literal["float32"]) -> ndarray[float32, Unpack[Ts]]: ...
@overload
def astype(self, dtype: Literal["float64"]) -> ndarray[float64, Unpack[Ts]]: ...
# ===== END `astype` =====
# ===== BEGIN `empty` =====
# `shape` as tuple, dtype="int64"
@overload
def empty(
shape: Tuple[Unpack[Ts]], dtype: Literal["int64"]
) -> ndarray[int64, Unpack[Ts]]: ...
# `shape` as tuple, dtype as e.g. np.float32
@overload
def empty(
shape: Tuple[Unpack[Ts]], dtype: Type[DType]
) -> ndarray[DType, Unpack[Ts]]: ...
# `shape` as integer, dtype as e.g. np.float32
@overload
def empty(shape: N, dtype: Type[DType]) -> ndarray[DType, N]: ...
# ===== END `empty` =====
def array(
object: object,
dtype: Type[DType] = ...,
copy: bool = ...,
subok: bool = ...,
ndmin: int = ...,
) -> ndarray[DType, Unpack[Tuple[Any, ...]]]: ...
def sin(x: ndarray[DType, Unpack[Ts]]) -> ndarray[DType, Unpack[Ts]]: ...
class int64:
def __init__(self, value=...): ...
class float32:
def __init__(self, value=...): ...
class float64:
def __init__(self, value=...): ...
loadtxt: Any
asarray: Any
zeros: Any
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