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增加环绕侦察场景适配

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huangfu
2026-01-08 15:44:38 +08:00
parent 3eba1f962b
commit 10c5bb5a8a
5441 changed files with 40219 additions and 379695 deletions
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24
backend_service/venv/lib/python3.13/site-packages/numpy/matlib.pyi
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@@ -222,7 +222,6 @@ from numpy import ( # noqa: F401
i0,
iinfo,
imag,
in1d,
index_exp,
indices,
inexact,
@@ -451,7 +450,6 @@ from numpy import ( # noqa: F401
trace,
transpose,
trapezoid,
trapz,
tri,
tril,
tril_indices,
@@ -507,8 +505,8 @@ __all__ += np.__all__
###
_T = TypeVar("_T", bound=np.generic)
_Matrix: TypeAlias = np.matrix[tuple[int, int], np.dtype[_T]]
_ScalarT = TypeVar("_ScalarT", bound=np.generic)
_Matrix: TypeAlias = np.matrix[tuple[int, int], np.dtype[_ScalarT]]
_Order: TypeAlias = Literal["C", "F"]
###
@@ -517,7 +515,7 @@ _Order: TypeAlias = Literal["C", "F"]
@overload
def empty(shape: int | tuple[int, int], dtype: None = None, order: _Order = "C") -> _Matrix[np.float64]: ...
@overload
def empty(shape: int | tuple[int, int], dtype: _DTypeLike[_T], order: _Order = "C") -> _Matrix[_T]: ...
def empty(shape: int | tuple[int, int], dtype: _DTypeLike[_ScalarT], order: _Order = "C") -> _Matrix[_ScalarT]: ...
@overload
def empty(shape: int | tuple[int, int], dtype: npt.DTypeLike, order: _Order = "C") -> _Matrix[Any]: ...
@@ -525,7 +523,7 @@ def empty(shape: int | tuple[int, int], dtype: npt.DTypeLike, order: _Order = "C
@overload
def ones(shape: int | tuple[int, int], dtype: None = None, order: _Order = "C") -> _Matrix[np.float64]: ...
@overload
def ones(shape: int | tuple[int, int], dtype: _DTypeLike[_T], order: _Order = "C") -> _Matrix[_T]: ...
def ones(shape: int | tuple[int, int], dtype: _DTypeLike[_ScalarT], order: _Order = "C") -> _Matrix[_ScalarT]: ...
@overload
def ones(shape: int | tuple[int, int], dtype: npt.DTypeLike, order: _Order = "C") -> _Matrix[Any]: ...
@@ -533,7 +531,7 @@ def ones(shape: int | tuple[int, int], dtype: npt.DTypeLike, order: _Order = "C"
@overload
def zeros(shape: int | tuple[int, int], dtype: None = None, order: _Order = "C") -> _Matrix[np.float64]: ...
@overload
def zeros(shape: int | tuple[int, int], dtype: _DTypeLike[_T], order: _Order = "C") -> _Matrix[_T]: ...
def zeros(shape: int | tuple[int, int], dtype: _DTypeLike[_ScalarT], order: _Order = "C") -> _Matrix[_ScalarT]: ...
@overload
def zeros(shape: int | tuple[int, int], dtype: npt.DTypeLike, order: _Order = "C") -> _Matrix[Any]: ...
@@ -541,7 +539,7 @@ def zeros(shape: int | tuple[int, int], dtype: npt.DTypeLike, order: _Order = "C
@overload
def identity(n: int, dtype: None = None) -> _Matrix[np.float64]: ...
@overload
def identity(n: int, dtype: _DTypeLike[_T]) -> _Matrix[_T]: ...
def identity(n: int, dtype: _DTypeLike[_ScalarT]) -> _Matrix[_ScalarT]: ...
@overload
def identity(n: int, dtype: npt.DTypeLike | None = None) -> _Matrix[Any]: ...
@@ -555,11 +553,11 @@ def eye(
order: _Order = "C",
) -> _Matrix[np.float64]: ...
@overload
def eye(n: int, M: int | None, k: int, dtype: _DTypeLike[_T], order: _Order = "C") -> _Matrix[_T]: ...
def eye(n: int, M: int | None, k: int, dtype: _DTypeLike[_ScalarT], order: _Order = "C") -> _Matrix[_ScalarT]: ...
@overload
def eye(n: int, M: int | None = None, k: int = 0, *, dtype: _DTypeLike[_T], order: _Order = "C") -> _Matrix[_T]: ...
def eye(n: int, M: int | None = None, k: int = 0, *, dtype: _DTypeLike[_ScalarT], order: _Order = "C") -> _Matrix[_ScalarT]: ...
@overload
def eye(n: int, M: int | None = None, k: int = 0, dtype: npt.DTypeLike = ..., order: _Order = "C") -> _Matrix[Any]: ...
def eye(n: int, M: int | None = None, k: int = 0, dtype: npt.DTypeLike | None = ..., order: _Order = "C") -> _Matrix[Any]: ...
#
@overload
@@ -575,8 +573,8 @@ def randn(arg: int, /, *args: int) -> _Matrix[np.float64]: ...
#
@overload
def repmat(a: _Matrix[_T], m: int, n: int) -> _Matrix[_T]: ...
def repmat(a: _Matrix[_ScalarT], m: int, n: int) -> _Matrix[_ScalarT]: ...
@overload
def repmat(a: _ArrayLike[_T], m: int, n: int) -> npt.NDArray[_T]: ...
def repmat(a: _ArrayLike[_ScalarT], m: int, n: int) -> npt.NDArray[_ScalarT]: ...
@overload
def repmat(a: npt.ArrayLike, m: int, n: int) -> npt.NDArray[Any]: ...