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Merge pull request #59 from jorenham/stubtest/scipy.io
completed `scipy.io`
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,11 +1,31 @@ | ||
| from . import arff as arff, harwell_boeing as harwell_boeing, idl as idl, mmio as mmio, netcdf as netcdf, wavfile as wavfile | ||
| from ._fast_matrix_market import mminfo as mminfo, mmread as mmread, mmwrite as mmwrite | ||
| from ._fortran import ( | ||
| FortranEOFError as FortranEOFError, | ||
| FortranFile as FortranFile, | ||
| FortranFormattingError as FortranFormattingError, | ||
| ) | ||
| from ._harwell_boeing import hb_read as hb_read, hb_write as hb_write | ||
| from ._idl import readsav as readsav | ||
| from ._netcdf import netcdf_file as netcdf_file, netcdf_variable as netcdf_variable | ||
| from .matlab import loadmat as loadmat, savemat as savemat, whosmat as whosmat | ||
| from . import arff, harwell_boeing, idl, matlab, mmio, netcdf, wavfile | ||
| from ._fast_matrix_market import mminfo, mmread, mmwrite | ||
| from ._fortran import FortranEOFError, FortranFile, FortranFormattingError | ||
| from ._harwell_boeing import hb_read, hb_write | ||
| from ._idl import readsav | ||
| from ._netcdf import netcdf_file, netcdf_variable | ||
| from .matlab import loadmat, savemat, whosmat | ||
|
|
||
| __all__ = [ | ||
| "FortranEOFError", | ||
| "FortranFile", | ||
| "FortranFormattingError", | ||
| "arff", | ||
| "harwell_boeing", | ||
| "hb_read", | ||
| "hb_write", | ||
| "idl", | ||
| "loadmat", | ||
| "matlab", | ||
| "mminfo", | ||
| "mmio", | ||
| "mmread", | ||
| "mmwrite", | ||
| "netcdf", | ||
| "netcdf_file", | ||
| "netcdf_variable", | ||
| "readsav", | ||
| "savemat", | ||
| "wavfile", | ||
| "whosmat", | ||
| ] |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,27 +1,53 @@ | ||
| import io | ||
| from typing_extensions import override | ||
| from typing import Final, Literal, TypeAlias, type_check_only | ||
| from typing_extensions import TypedDict, Unpack, override | ||
|
|
||
| from scipy._typing import Untyped | ||
| import numpy as np | ||
| import numpy.typing as npt | ||
| import optype.numpy as onpt | ||
| from scipy._typing import FileName | ||
| from scipy.sparse import coo_matrix, sparray, spmatrix | ||
|
|
||
| __all__ = ["mminfo", "mmread", "mmwrite"] | ||
|
|
||
| PARALLELISM: int | ||
| ALWAYS_FIND_SYMMETRY: bool | ||
| _Format: TypeAlias = Literal["coordinate", "array"] | ||
| _Field: TypeAlias = Literal["real", "complex", "pattern", "integer"] | ||
| _Symmetry: TypeAlias = Literal["general", "symmetric", "skew-symmetric", "hermitian"] | ||
|
|
||
| PARALLELISM: Final = 0 | ||
| ALWAYS_FIND_SYMMETRY: Final = False | ||
|
|
||
| @type_check_only | ||
| class _TextToBytesWrapperKwargs(TypedDict, total=False): | ||
| buffer_size: int | ||
|
|
||
| class _TextToBytesWrapper(io.BufferedReader): | ||
| encoding: Untyped | ||
| errors: Untyped | ||
| def __init__(self, text_io_buffer, encoding: Untyped | None = None, errors: Untyped | None = None, **kwargs): ... | ||
| encoding: Final[str] | ||
| errors: Final[str] | ||
| def __init__( | ||
| self, | ||
| /, | ||
| text_io_buffer: io.TextIOBase, | ||
| encoding: str | None = None, | ||
| errors: str | None = None, | ||
| **kwargs: Unpack[_TextToBytesWrapperKwargs], | ||
| ) -> None: ... | ||
| @override | ||
| def read(self, /, size: int | None = -1) -> bytes: ... | ||
| @override | ||
| def read1(self, /, size: int = -1) -> bytes: ... | ||
| @override | ||
| def peek(self, /, size: int = -1) -> bytes: ... | ||
| @override | ||
| def seek(self, offset: int, whence: int = 0, /) -> None: ... # type: ignore[override] | ||
| def seek(self, /, offset: int, whence: int = 0) -> None: ... # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride] | ||
|
|
||
| def mmread(source) -> Untyped: ... | ||
| def mmread(source: FileName) -> npt.NDArray[np.generic] | coo_matrix: ... | ||
| def mmwrite( | ||
| target, | ||
| a, | ||
| comment: Untyped | None = None, | ||
| field: Untyped | None = None, | ||
| precision: Untyped | None = None, | ||
| symmetry: str = "AUTO", | ||
| ): ... | ||
| def mminfo(source) -> Untyped: ... | ||
| target: FileName, | ||
| a: onpt.CanArray | list[object] | tuple[object, ...] | sparray | spmatrix, | ||
| comment: str | None = None, | ||
| field: _Field | None = None, | ||
| precision: int | None = None, | ||
| symmetry: _Symmetry | Literal["AUTO"] = "AUTO", | ||
| ) -> None: ... | ||
| def mminfo(source: FileName) -> tuple[int, int, int, _Format, _Field, _Symmetry]: ... |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,16 +1,41 @@ | ||
| from types import TracebackType | ||
| from typing import Any, TypedDict, final, overload, type_check_only | ||
| from typing_extensions import Self, Unpack | ||
|
|
||
| from scipy._typing import Untyped | ||
| import numpy as np | ||
| import numpy.typing as npt | ||
| import optype.numpy as onpt | ||
| from scipy._typing import FileLike, FileModeRW | ||
|
|
||
| __all__ = ["FortranEOFError", "FortranFile", "FortranFormattingError"] | ||
|
|
||
| @type_check_only | ||
| @final | ||
| class _DTypeKwargs(TypedDict): | ||
| dtype: npt.DTypeLike | ||
|
|
||
| class FortranEOFError(TypeError, OSError): ... | ||
| class FortranFormattingError(TypeError, OSError): ... | ||
|
|
||
| class FortranFile: | ||
| def __init__(self, filename, mode: str = "r", header_dtype=...): ... | ||
| def write_record(self, *items): ... | ||
| def read_record(self, *dtypes, **kwargs) -> Untyped: ... | ||
| def read_ints(self, dtype: str = "i4") -> Untyped: ... | ||
| def read_reals(self, dtype: str = "f8") -> Untyped: ... | ||
| def close(self): ... | ||
| def __enter__(self) -> Untyped: ... | ||
| def __exit__(self, type: type[BaseException] | None, value: BaseException | None, tb: TracebackType | None): ... | ||
| def __init__(self, /, filename: FileLike[bytes], mode: FileModeRW = "r", header_dtype: npt.DTypeLike = ...) -> None: ... | ||
| def __enter__(self, /) -> Self: ... | ||
| def __exit__(self, /, type: type[BaseException] | None, value: BaseException | None, tb: TracebackType | None) -> None: ... | ||
| def close(self, /) -> None: ... | ||
| def write_record(self, /, *items: npt.ArrayLike) -> None: ... | ||
| @overload | ||
| def read_record(self, /, *dtypes: npt.DTypeLike) -> onpt.Array[tuple[int], np.void]: ... | ||
| @overload | ||
| def read_record(self, /, *dtypes: npt.DTypeLike, **kwargs: Unpack[_DTypeKwargs]) -> onpt.Array[tuple[int], np.void]: ... | ||
| @overload | ||
| def read_ints(self, /) -> onpt.Array[tuple[int], np.int32]: ... | ||
| @overload | ||
| def read_ints(self, /, dtype: onpt.AnyIntegerDType) -> onpt.Array[tuple[int], np.integer[Any]]: ... | ||
| @overload | ||
| def read_ints(self, /, dtype: npt.DTypeLike) -> onpt.Array[tuple[int]]: ... | ||
| @overload | ||
| def read_reals(self, /) -> onpt.Array[tuple[int], np.float64]: ... | ||
| @overload | ||
| def read_reals(self, /, dtype: onpt.AnyFloatingDType) -> onpt.Array[tuple[int], np.floating[Any]]: ... | ||
| @overload | ||
| def read_reals(self, /, dtype: npt.DTypeLike) -> onpt.Array[tuple[int]]: ... |
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