Team Ai
Datasetpublic

codekingpro/portable-devtools

sourceHugging Faceupdated 5mo agoView on Hugging Face
1likes14kdownloads
records.pyi341 linesDownload Raw Back to _core
1# ruff: noqa: ANN401
2# pyright: reportSelfClsParameterName=false
3from _typeshed import Incomplete, StrOrBytesPath
4from collections.abc import Iterable, Sequence
5from typing import (
6    Any,
7    ClassVar,
8    Literal,
9    Protocol,
10    SupportsIndex,
11    TypeAlias,
12    overload,
13    type_check_only,
14)
15from typing_extensions import Buffer, TypeVar
16
17import numpy as np
18from numpy import _ByteOrder, _OrderKACF
19from numpy._typing import (
20    ArrayLike,
21    DTypeLike,
22    NDArray,
23    _AnyShape,
24    _ArrayLikeVoid_co,
25    _NestedSequence,
26    _Shape,
27    _ShapeLike,
28)
29
30__all__ = [
31    "array",
32    "find_duplicate",
33    "format_parser",
34    "fromarrays",
35    "fromfile",
36    "fromrecords",
37    "fromstring",
38    "recarray",
39    "record",
40]
41
42_T = TypeVar("_T")
43_ScalarT = TypeVar("_ScalarT", bound=np.generic)
44_DTypeT_co = TypeVar("_DTypeT_co", bound=np.dtype, default=np.dtype, covariant=True)
45_ShapeT_co = TypeVar("_ShapeT_co", bound=_Shape, default=_AnyShape, covariant=True)
46
47_RecArray: TypeAlias = recarray[_AnyShape, np.dtype[_ScalarT]]
48
49@type_check_only
50class _SupportsReadInto(Protocol):
51    def seek(self, offset: int, whence: int, /) -> object: ...
52    def tell(self, /) -> int: ...
53    def readinto(self, buffer: memoryview, /) -> int: ...
54
55###
56
57# exported in `numpy.rec`
58class record(np.void):  # type: ignore[misc]
59    __name__: ClassVar[Literal["record"]] = "record"
60    __module__: Literal["numpy"] = "numpy"
61
62    def pprint(self) -> str: ...
63
64    def __getattribute__(self, attr: str, /) -> Any: ...
65    def __setattr__(self, attr: str, val: ArrayLike, /) -> None: ...
66
67    @overload
68    def __getitem__(self, key: str | SupportsIndex, /) -> Incomplete: ...
69    @overload
70    def __getitem__(self, key: list[str], /) -> record: ...
71
72# exported in `numpy.rec`
73class recarray(np.ndarray[_ShapeT_co, _DTypeT_co]):
74    __name__: ClassVar[Literal["recarray"]] = "recarray"
75    __module__: Literal["numpy.rec"] = "numpy.rec"
76
77    @overload
78    def __new__(
79        subtype,
80        shape: _ShapeLike,
81        dtype: None = None,
82        buf: Buffer | None = None,
83        offset: SupportsIndex = 0,
84        strides: _ShapeLike | None = None,
85        *,
86        formats: DTypeLike | None,
87        names: str | Sequence[str] | None = None,
88        titles: str | Sequence[str] | None = None,
89        byteorder: _ByteOrder | None = None,
90        aligned: bool = False,
91        order: _OrderKACF = "C",
92    ) -> _RecArray[record]: ...
93    @overload
94    def __new__(
95        subtype,
96        shape: _ShapeLike,
97        dtype: DTypeLike | None,
98        buf: Buffer | None = None,
99        offset: SupportsIndex = 0,
100        strides: _ShapeLike | None = None,
101        formats: None = None,
102        names: None = None,
103        titles: None = None,
104        byteorder: None = None,
105        aligned: Literal[False] = False,
106        order: _OrderKACF = "C",
107    ) -> _RecArray[Incomplete]: ...
108
109    def __getattribute__(self, attr: str, /) -> Any: ...
110    def __setattr__(self, attr: str, val: ArrayLike, /) -> None: ...
111
112    def __array_finalize__(self, /, obj: object) -> None: ...
113
114    #
115    @overload
116    def field(self, /, attr: int | str, val: ArrayLike) -> None: ...
117    @overload
118    def field(self, /, attr: int | str, val: None = None) -> Incomplete: ...
119
120# exported in `numpy.rec`
121class format_parser:
122    dtype: np.dtype[np.void]
123    def __init__(
124        self,
125        /,
126        formats: DTypeLike | None,
127        names: str | Sequence[str] | None,
128        titles: str | Sequence[str] | None,
129        aligned: bool = False,
130        byteorder: _ByteOrder | None = None,
131    ) -> None: ...
132
133# exported in `numpy.rec`
134@overload
135def fromarrays(
136    arrayList: Iterable[ArrayLike],
137    dtype: DTypeLike | None = None,
138    shape: _ShapeLike | None = None,
139    formats: None = None,
140    names: None = None,
141    titles: None = None,
142    aligned: bool = False,
143    byteorder: None = None,
144) -> _RecArray[Any]: ...
145@overload
146def fromarrays(
147    arrayList: Iterable[ArrayLike],
148    dtype: None = None,
149    shape: _ShapeLike | None = None,
150    *,
151    formats: DTypeLike | None,
152    names: str | Sequence[str] | None = None,
153    titles: str | Sequence[str] | None = None,
154    aligned: bool = False,
155    byteorder: _ByteOrder | None = None,
156) -> _RecArray[record]: ...
157
158@overload
159def fromrecords(
160    recList: _ArrayLikeVoid_co | tuple[object, ...] | _NestedSequence[tuple[object, ...]],
161    dtype: DTypeLike | None = None,
162    shape: _ShapeLike | None = None,
163    formats: None = None,
164    names: None = None,
165    titles: None = None,
166    aligned: bool = False,
167    byteorder: None = None,
168) -> _RecArray[record]: ...
169@overload
170def fromrecords(
171    recList: _ArrayLikeVoid_co | tuple[object, ...] | _NestedSequence[tuple[object, ...]],
172    dtype: None = None,
173    shape: _ShapeLike | None = None,
174    *,
175    formats: DTypeLike | None,
176    names: str | Sequence[str] | None = None,
177    titles: str | Sequence[str] | None = None,
178    aligned: bool = False,
179    byteorder: _ByteOrder | None = None,
180) -> _RecArray[record]: ...
181
182# exported in `numpy.rec`
183@overload
184def fromstring(
185    datastring: Buffer,
186    dtype: DTypeLike | None,
187    shape: _ShapeLike | None = None,
188    offset: int = 0,
189    formats: None = None,
190    names: None = None,
191    titles: None = None,
192    aligned: bool = False,
193    byteorder: None = None,
194) -> _RecArray[record]: ...
195@overload
196def fromstring(
197    datastring: Buffer,
198    dtype: None = None,
199    shape: _ShapeLike | None = None,
200    offset: int = 0,
201    *,
202    formats: DTypeLike | None,
203    names: str | Sequence[str] | None = None,
204    titles: str | Sequence[str] | None = None,
205    aligned: bool = False,
206    byteorder: _ByteOrder | None = None,
207) -> _RecArray[record]: ...
208
209# exported in `numpy.rec`
210@overload
211def fromfile(
212    fd: StrOrBytesPath | _SupportsReadInto,
213    dtype: DTypeLike | None,
214    shape: _ShapeLike | None = None,
215    offset: int = 0,
216    formats: None = None,
217    names: None = None,
218    titles: None = None,
219    aligned: bool = False,
220    byteorder: None = None,
221) -> _RecArray[Any]: ...
222@overload
223def fromfile(
224    fd: StrOrBytesPath | _SupportsReadInto,
225    dtype: None = None,
226    shape: _ShapeLike | None = None,
227    offset: int = 0,
228    *,
229    formats: DTypeLike | None,
230    names: str | Sequence[str] | None = None,
231    titles: str | Sequence[str] | None = None,
232    aligned: bool = False,
233    byteorder: _ByteOrder | None = None,
234) -> _RecArray[record]: ...
235
236# exported in `numpy.rec`
237@overload
238def array(
239    obj: _ScalarT | NDArray[_ScalarT],
240    dtype: None = None,
241    shape: _ShapeLike | None = None,
242    offset: int = 0,
243    strides: tuple[int, ...] | None = None,
244    formats: None = None,
245    names: None = None,
246    titles: None = None,
247    aligned: bool = False,
248    byteorder: None = None,
249    copy: bool = True,
250) -> _RecArray[_ScalarT]: ...
251@overload
252def array(
253    obj: ArrayLike,
254    dtype: DTypeLike | None,
255    shape: _ShapeLike | None = None,
256    offset: int = 0,
257    strides: tuple[int, ...] | None = None,
258    formats: None = None,
259    names: None = None,
260    titles: None = None,
261    aligned: bool = False,
262    byteorder: None = None,
263    copy: bool = True,
264) -> _RecArray[Any]: ...
265@overload
266def array(
267    obj: ArrayLike,
268    dtype: None = None,
269    shape: _ShapeLike | None = None,
270    offset: int = 0,
271    strides: tuple[int, ...] | None = None,
272    *,
273    formats: DTypeLike | None,
274    names: str | Sequence[str] | None = None,
275    titles: str | Sequence[str] | None = None,
276    aligned: bool = False,
277    byteorder: _ByteOrder | None = None,
278    copy: bool = True,
279) -> _RecArray[record]: ...
280@overload
281def array(
282    obj: None,
283    dtype: DTypeLike | None,
284    shape: _ShapeLike,
285    offset: int = 0,
286    strides: tuple[int, ...] | None = None,
287    formats: None = None,
288    names: None = None,
289    titles: None = None,
290    aligned: bool = False,
291    byteorder: None = None,
292    copy: bool = True,
293) -> _RecArray[Any]: ...
294@overload
295def array(
296    obj: None,
297    dtype: None = None,
298    *,
299    shape: _ShapeLike,
300    offset: int = 0,
301    strides: tuple[int, ...] | None = None,
302    formats: DTypeLike | None,
303    names: str | Sequence[str] | None = None,
304    titles: str | Sequence[str] | None = None,
305    aligned: bool = False,
306    byteorder: _ByteOrder | None = None,
307    copy: bool = True,
308) -> _RecArray[record]: ...
309@overload
310def array(
311    obj: _SupportsReadInto,
312    dtype: DTypeLike | None,
313    shape: _ShapeLike | None = None,
314    offset: int = 0,
315    strides: tuple[int, ...] | None = None,
316    formats: None = None,
317    names: None = None,
318    titles: None = None,
319    aligned: bool = False,
320    byteorder: None = None,
321    copy: bool = True,
322) -> _RecArray[Any]: ...
323@overload
324def array(
325    obj: _SupportsReadInto,
326    dtype: None = None,
327    shape: _ShapeLike | None = None,
328    offset: int = 0,
329    strides: tuple[int, ...] | None = None,
330    *,
331    formats: DTypeLike | None,
332    names: str | Sequence[str] | None = None,
333    titles: str | Sequence[str] | None = None,
334    aligned: bool = False,
335    byteorder: _ByteOrder | None = None,
336    copy: bool = True,
337) -> _RecArray[record]: ...
338
339# exported in `numpy.rec`
340def find_duplicate(list: Iterable[_T]) -> list[_T]: ...
341 
codekingpro/portable-devtools · Team Ai