知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
296 lines
10 KiB
Python
296 lines
10 KiB
Python
from collections.abc import Callable, Iterable, Sequence
|
|
from typing import Final, Literal, Protocol, SupportsIndex, overload, type_check_only
|
|
|
|
import numpy as np
|
|
import numpy.typing as npt
|
|
from numpy._typing import (
|
|
_ArrayLikeComplex_co,
|
|
_ArrayLikeFloat_co,
|
|
_ArrayLikeObject_co,
|
|
_FloatLike_co,
|
|
_NumberLike_co,
|
|
)
|
|
|
|
from ._polytypes import (
|
|
_AnyInt,
|
|
_Array2,
|
|
_ArrayLikeCoef_co,
|
|
_CoefArray,
|
|
_CoefLike_co,
|
|
_CoefSeries,
|
|
_ComplexArray,
|
|
_ComplexSeries,
|
|
_FloatArray,
|
|
_FloatSeries,
|
|
_FuncBinOp,
|
|
_ObjectArray,
|
|
_ObjectSeries,
|
|
_SeriesLikeCoef_co,
|
|
_SeriesLikeComplex_co,
|
|
_SeriesLikeFloat_co,
|
|
_SeriesLikeInt_co,
|
|
_SeriesLikeObject_co,
|
|
_Tuple2,
|
|
)
|
|
|
|
__all__ = ["as_series", "format_float", "getdomain", "mapdomain", "mapparms", "trimcoef", "trimseq"]
|
|
|
|
type _AnyLineF = Callable[[float, float], _CoefArray]
|
|
type _AnyMulF = Callable[[np.ndarray | list[int], np.ndarray], _CoefArray]
|
|
type _AnyVanderF = Callable[[np.ndarray, int], _CoefArray]
|
|
|
|
@type_check_only
|
|
class _ValFunc[T](Protocol):
|
|
def __call__(self, x: np.ndarray, c: T, /, *, tensor: bool = True) -> T: ...
|
|
|
|
###
|
|
|
|
@overload
|
|
def as_series(alist: npt.NDArray[np.integer] | _FloatArray, trim: bool = True) -> list[_FloatSeries]: ...
|
|
@overload
|
|
def as_series(alist: _ComplexArray, trim: bool = True) -> list[_ComplexSeries]: ...
|
|
@overload
|
|
def as_series(alist: _ObjectArray, trim: bool = True) -> list[_ObjectSeries]: ...
|
|
@overload
|
|
def as_series(alist: Iterable[_FloatArray | npt.NDArray[np.integer]], trim: bool = True) -> list[_FloatSeries]: ...
|
|
@overload
|
|
def as_series(alist: Iterable[_ComplexArray], trim: bool = True) -> list[_ComplexSeries]: ...
|
|
@overload
|
|
def as_series(alist: Iterable[_ObjectArray], trim: bool = True) -> list[_ObjectSeries]: ...
|
|
@overload
|
|
def as_series(alist: Iterable[_SeriesLikeFloat_co | float], trim: bool = True) -> list[_FloatSeries]: ...
|
|
@overload
|
|
def as_series(alist: Iterable[_SeriesLikeComplex_co | complex], trim: bool = True) -> list[_ComplexSeries]: ...
|
|
@overload
|
|
def as_series(alist: Iterable[_SeriesLikeCoef_co | object], trim: bool = True) -> list[_ObjectSeries]: ...
|
|
|
|
#
|
|
def trimseq[SeqT: _CoefArray | Sequence[_CoefLike_co]](seq: SeqT) -> SeqT: ...
|
|
|
|
#
|
|
@overload
|
|
def trimcoef(c: npt.NDArray[np.integer] | _FloatArray, tol: _FloatLike_co = 0) -> _FloatSeries: ...
|
|
@overload
|
|
def trimcoef(c: _ComplexArray, tol: _FloatLike_co = 0) -> _ComplexSeries: ...
|
|
@overload
|
|
def trimcoef(c: _ObjectArray, tol: _FloatLike_co = 0) -> _ObjectSeries: ...
|
|
@overload
|
|
def trimcoef(c: _SeriesLikeFloat_co | float, tol: _FloatLike_co = 0) -> _FloatSeries: ...
|
|
@overload
|
|
def trimcoef(c: _SeriesLikeComplex_co | complex, tol: _FloatLike_co = 0) -> _ComplexSeries: ...
|
|
@overload
|
|
def trimcoef(c: _SeriesLikeCoef_co | object, tol: _FloatLike_co = 0) -> _ObjectSeries: ...
|
|
|
|
#
|
|
@overload
|
|
def getdomain(x: _FloatArray | npt.NDArray[np.integer]) -> _Array2[np.float64]: ...
|
|
@overload
|
|
def getdomain(x: _ComplexArray) -> _Array2[np.complex128]: ...
|
|
@overload
|
|
def getdomain(x: _ObjectArray) -> _Array2[np.object_]: ...
|
|
@overload
|
|
def getdomain(x: _SeriesLikeFloat_co | float) -> _Array2[np.float64]: ...
|
|
@overload
|
|
def getdomain(x: _SeriesLikeComplex_co | complex) -> _Array2[np.complex128]: ...
|
|
@overload
|
|
def getdomain(x: _SeriesLikeCoef_co | object) -> _Array2[np.object_]: ...
|
|
|
|
#
|
|
@overload
|
|
def mapparms(old: npt.NDArray[np.floating | np.integer], new: npt.NDArray[np.floating | np.integer]) -> _Tuple2[np.floating]: ...
|
|
@overload
|
|
def mapparms(old: npt.NDArray[np.number], new: npt.NDArray[np.number]) -> _Tuple2[np.complexfloating]: ...
|
|
@overload
|
|
def mapparms(old: npt.NDArray[np.object_ | np.number], new: npt.NDArray[np.object_ | np.number]) -> _Tuple2[object]: ...
|
|
@overload
|
|
def mapparms(old: Sequence[float], new: Sequence[float]) -> _Tuple2[float]: ...
|
|
@overload
|
|
def mapparms(old: Sequence[complex], new: Sequence[complex]) -> _Tuple2[complex]: ...
|
|
@overload
|
|
def mapparms(old: _SeriesLikeFloat_co, new: _SeriesLikeFloat_co) -> _Tuple2[np.floating]: ...
|
|
@overload
|
|
def mapparms(old: _SeriesLikeComplex_co, new: _SeriesLikeComplex_co) -> _Tuple2[np.complexfloating]: ...
|
|
@overload
|
|
def mapparms(old: _SeriesLikeCoef_co, new: _SeriesLikeCoef_co) -> _Tuple2[object]: ...
|
|
|
|
#
|
|
@overload
|
|
def mapdomain(x: _FloatLike_co, old: _SeriesLikeFloat_co, new: _SeriesLikeFloat_co) -> np.floating: ...
|
|
@overload
|
|
def mapdomain(x: _NumberLike_co, old: _SeriesLikeComplex_co, new: _SeriesLikeComplex_co) -> np.complexfloating: ...
|
|
@overload
|
|
def mapdomain(
|
|
x: npt.NDArray[np.floating | np.integer],
|
|
old: npt.NDArray[np.floating | np.integer],
|
|
new: npt.NDArray[np.floating | np.integer],
|
|
) -> _FloatSeries: ...
|
|
@overload
|
|
def mapdomain(x: npt.NDArray[np.number], old: npt.NDArray[np.number], new: npt.NDArray[np.number]) -> _ComplexSeries: ...
|
|
@overload
|
|
def mapdomain(
|
|
x: npt.NDArray[np.object_ | np.number],
|
|
old: npt.NDArray[np.object_ | np.number],
|
|
new: npt.NDArray[np.object_ | np.number],
|
|
) -> _ObjectSeries: ...
|
|
@overload
|
|
def mapdomain(x: _SeriesLikeFloat_co, old: _SeriesLikeFloat_co, new: _SeriesLikeFloat_co) -> _FloatSeries: ...
|
|
@overload
|
|
def mapdomain(x: _SeriesLikeComplex_co, old: _SeriesLikeComplex_co, new: _SeriesLikeComplex_co) -> _ComplexSeries: ...
|
|
@overload
|
|
def mapdomain(x: _SeriesLikeCoef_co, old: _SeriesLikeCoef_co, new: _SeriesLikeCoef_co) -> _ObjectSeries: ...
|
|
@overload
|
|
def mapdomain(x: _CoefLike_co, old: _SeriesLikeCoef_co, new: _SeriesLikeCoef_co) -> object: ...
|
|
|
|
#
|
|
def _nth_slice(i: SupportsIndex, ndim: SupportsIndex) -> tuple[slice | None, ...]: ...
|
|
|
|
# keep in sync with `vander_nd_flat`
|
|
@overload
|
|
def _vander_nd(
|
|
vander_fs: Sequence[_AnyVanderF],
|
|
points: Sequence[_ArrayLikeFloat_co],
|
|
degrees: Sequence[SupportsIndex],
|
|
) -> _FloatArray: ...
|
|
@overload
|
|
def _vander_nd(
|
|
vander_fs: Sequence[_AnyVanderF],
|
|
points: Sequence[_ArrayLikeComplex_co],
|
|
degrees: Sequence[SupportsIndex],
|
|
) -> _ComplexArray: ...
|
|
@overload
|
|
def _vander_nd(
|
|
vander_fs: Sequence[_AnyVanderF],
|
|
points: Sequence[_ArrayLikeObject_co | _ArrayLikeComplex_co],
|
|
degrees: Sequence[SupportsIndex],
|
|
) -> _ObjectArray: ...
|
|
@overload
|
|
def _vander_nd(
|
|
vander_fs: Sequence[_AnyVanderF],
|
|
points: Sequence[npt.ArrayLike],
|
|
degrees: Sequence[SupportsIndex],
|
|
) -> _CoefArray: ...
|
|
|
|
# keep in sync with `vander_nd`
|
|
@overload
|
|
def _vander_nd_flat(
|
|
vander_fs: Sequence[_AnyVanderF],
|
|
points: Sequence[_ArrayLikeFloat_co],
|
|
degrees: Sequence[SupportsIndex],
|
|
) -> _FloatArray: ...
|
|
@overload
|
|
def _vander_nd_flat(
|
|
vander_fs: Sequence[_AnyVanderF],
|
|
points: Sequence[_ArrayLikeComplex_co],
|
|
degrees: Sequence[SupportsIndex],
|
|
) -> _ComplexArray: ...
|
|
@overload
|
|
def _vander_nd_flat(
|
|
vander_fs: Sequence[_AnyVanderF],
|
|
points: Sequence[_ArrayLikeObject_co | _ArrayLikeComplex_co],
|
|
degrees: Sequence[SupportsIndex],
|
|
) -> _ObjectArray: ...
|
|
@overload
|
|
def _vander_nd_flat(
|
|
vander_fs: Sequence[_AnyVanderF],
|
|
points: Sequence[npt.ArrayLike],
|
|
degrees: Sequence[SupportsIndex],
|
|
) -> _CoefArray: ...
|
|
|
|
# keep in sync with `._polytypes._FuncFromRoots`
|
|
@overload
|
|
def _fromroots(line_f: _AnyLineF, mul_f: _AnyMulF, roots: _SeriesLikeFloat_co) -> _FloatSeries: ...
|
|
@overload
|
|
def _fromroots(line_f: _AnyLineF, mul_f: _AnyMulF, roots: _SeriesLikeComplex_co) -> _ComplexSeries: ...
|
|
@overload
|
|
def _fromroots(line_f: _AnyLineF, mul_f: _AnyMulF, roots: _SeriesLikeObject_co) -> _ObjectSeries: ...
|
|
@overload
|
|
def _fromroots(line_f: _AnyLineF, mul_f: _AnyMulF, roots: _SeriesLikeCoef_co) -> _CoefSeries: ...
|
|
|
|
# keep in sync with `_gridnd`
|
|
def _valnd[T](val_f: _ValFunc[T], c: T, *args: npt.ArrayLike) -> T: ...
|
|
|
|
# keep in sync with `_valnd`
|
|
def _gridnd[T](val_f: _ValFunc[T], c: T, *args: npt.ArrayLike) -> T: ...
|
|
|
|
# keep in sync with `_polytypes._FuncBinOp`
|
|
@overload
|
|
def _div(mul_f: _AnyMulF, c1: _SeriesLikeFloat_co, c2: _SeriesLikeFloat_co) -> _Tuple2[_FloatSeries]: ...
|
|
@overload
|
|
def _div(mul_f: _AnyMulF, c1: _SeriesLikeComplex_co, c2: _SeriesLikeComplex_co) -> _Tuple2[_ComplexSeries]: ...
|
|
@overload
|
|
def _div(mul_f: _AnyMulF, c1: _SeriesLikeObject_co, c2: _SeriesLikeObject_co) -> _Tuple2[_ObjectSeries]: ...
|
|
@overload
|
|
def _div(mul_f: _AnyMulF, c1: _SeriesLikeCoef_co, c2: _SeriesLikeCoef_co) -> _Tuple2[_CoefSeries]: ...
|
|
|
|
_add: Final[_FuncBinOp] = ...
|
|
_sub: Final[_FuncBinOp] = ...
|
|
|
|
# keep in sync with `_polytypes._FuncPow`
|
|
@overload
|
|
def _pow(mul_f: _AnyMulF, c: _SeriesLikeFloat_co, pow: _AnyInt, maxpower: _AnyInt | None) -> _FloatSeries: ...
|
|
@overload
|
|
def _pow(mul_f: _AnyMulF, c: _SeriesLikeComplex_co, pow: _AnyInt, maxpower: _AnyInt | None) -> _ComplexSeries: ...
|
|
@overload
|
|
def _pow(mul_f: _AnyMulF, c: _SeriesLikeObject_co, pow: _AnyInt, maxpower: _AnyInt | None) -> _ObjectSeries: ...
|
|
@overload
|
|
def _pow(mul_f: _AnyMulF, c: _SeriesLikeCoef_co, pow: _AnyInt, maxpower: _AnyInt | None) -> _CoefSeries: ...
|
|
|
|
# keep in sync with `_polytypes._FuncFit`
|
|
@overload
|
|
def _fit(
|
|
vander_f: _AnyVanderF,
|
|
x: _SeriesLikeFloat_co,
|
|
y: _ArrayLikeFloat_co,
|
|
deg: _SeriesLikeInt_co,
|
|
rcond: _FloatLike_co | None = None,
|
|
full: Literal[False] = False,
|
|
w: _SeriesLikeFloat_co | None = None,
|
|
) -> _FloatArray: ...
|
|
@overload
|
|
def _fit(
|
|
vander_f: _AnyVanderF,
|
|
x: _SeriesLikeComplex_co,
|
|
y: _ArrayLikeComplex_co,
|
|
deg: _SeriesLikeInt_co,
|
|
rcond: _FloatLike_co | None = None,
|
|
full: Literal[False] = False,
|
|
w: _SeriesLikeComplex_co | None = None,
|
|
) -> _ComplexArray: ...
|
|
@overload
|
|
def _fit(
|
|
vander_f: _AnyVanderF,
|
|
x: _SeriesLikeCoef_co,
|
|
y: _ArrayLikeCoef_co,
|
|
deg: _SeriesLikeInt_co,
|
|
rcond: _FloatLike_co | None = None,
|
|
full: Literal[False] = False,
|
|
w: _SeriesLikeCoef_co | None = None,
|
|
) -> _CoefArray: ...
|
|
@overload
|
|
def _fit(
|
|
vander_f: _AnyVanderF,
|
|
x: _SeriesLikeCoef_co,
|
|
y: _SeriesLikeCoef_co,
|
|
deg: _SeriesLikeInt_co,
|
|
rcond: _FloatLike_co | None,
|
|
full: Literal[True],
|
|
w: _SeriesLikeCoef_co | None = None,
|
|
) -> tuple[_CoefSeries, Sequence[np.inexact | np.int32]]: ...
|
|
@overload
|
|
def _fit(
|
|
vander_f: _AnyVanderF,
|
|
x: _SeriesLikeCoef_co,
|
|
y: _SeriesLikeCoef_co,
|
|
deg: _SeriesLikeInt_co,
|
|
rcond: _FloatLike_co | None = None,
|
|
*,
|
|
full: Literal[True],
|
|
w: _SeriesLikeCoef_co | None = None,
|
|
) -> tuple[_CoefSeries, Sequence[np.inexact | np.int32]]: ...
|
|
|
|
#
|
|
def _as_int(x: SupportsIndex, desc: str) -> int: ...
|
|
|
|
#
|
|
def format_float(x: _FloatLike_co, parens: bool = False) -> str: ...
|