from typing import ( Hashable, Literal, ) import numpy as np from pandas._typing import ( ArrayLike, Dtype, npt, ) STR_NA_VALUES: set[str] DEFAULT_BUFFER_HEURISTIC: int def sanitize_objects( values: npt.NDArray[np.object_], na_values: set, ) -> int: ... class TextReader: unnamed_cols: set[str] table_width: int # int64_t leading_cols: int # int64_t header: list[list[int]] # non-negative integers def __init__( self, source, delimiter: bytes | str = ..., # single-character only header=..., header_start: int = ..., # int64_t header_end: int = ..., # uint64_t index_col=..., names=..., tokenize_chunksize: int = ..., # int64_t delim_whitespace: bool = ..., converters=..., skipinitialspace: bool = ..., escapechar: bytes | str | None = ..., # single-character only doublequote: bool = ..., quotechar: str | bytes | None = ..., # at most 1 character quoting: int = ..., lineterminator: bytes | str | None = ..., # at most 1 character comment=..., decimal: bytes | str = ..., # single-character only thousands: bytes | str | None = ..., # single-character only dtype: Dtype | dict[Hashable, Dtype] = ..., usecols=..., error_bad_lines: bool = ..., warn_bad_lines: bool = ..., na_filter: bool = ..., na_values=..., na_fvalues=..., keep_default_na: bool = ..., true_values=..., false_values=..., allow_leading_cols: bool = ..., skiprows=..., skipfooter: int = ..., # int64_t verbose: bool = ..., float_precision: Literal["round_trip", "legacy", "high"] | None = ..., skip_blank_lines: bool = ..., encoding_errors: bytes | str = ..., ) -> None: ... def set_noconvert(self, i: int) -> None: ... def remove_noconvert(self, i: int) -> None: ... def close(self) -> None: ... def read(self, rows: int | None = ...) -> dict[int, ArrayLike]: ... def read_low_memory(self, rows: int | None) -> list[dict[int, ArrayLike]]: ... # _maybe_upcast, na_values are only exposed for testing na_values: dict def _maybe_upcast( arr, use_dtype_backend: bool = ..., dtype_backend: str = ... ) -> np.ndarray: ...