from __future__ import annotations

import contextlib
import os
from pathlib import Path
from typing import TYPE_CHECKING, Final, Literal, TypedDict, get_args

from polars._dependencies import json
from polars._typing import EngineType
from polars._utils.deprecation import deprecated
from polars._utils.unstable import unstable
from polars._utils.various import normalize_filepath
from polars.lazyframe.engine_config import GPUEngine

if TYPE_CHECKING:
    import sys
    from types import TracebackType
    from typing import TypeAlias

    from polars._typing import Alignment, FloatFmt
    from polars.io.cloud.credential_provider._providers import (
        CredentialProviderFunction,
    )

    if sys.version_info >= (3, 11):
        from typing import Self, Unpack
    else:
        from typing_extensions import Self, Unpack

    if sys.version_info >= (3, 13):
        from warnings import deprecated
    else:
        from typing_extensions import deprecated  # noqa: TC004

__all__ = ["Config"]

TableFormatNames: TypeAlias = Literal[
    "ASCII_FULL",
    "ASCII_FULL_CONDENSED",
    "ASCII_NO_BORDERS",
    "ASCII_BORDERS_ONLY",
    "ASCII_BORDERS_ONLY_CONDENSED",
    "ASCII_HORIZONTAL_ONLY",
    "ASCII_MARKDOWN",
    "MARKDOWN",
    "UTF8_FULL",
    "UTF8_FULL_CONDENSED",
    "UTF8_NO_BORDERS",
    "UTF8_BORDERS_ONLY",
    "UTF8_HORIZONTAL_ONLY",
    "NOTHING",
]

# note: register all Config-specific environment variable names here; need to constrain
# which 'POLARS_' environment variables are recognized, as there are other lower-level
# and/or unstable settings that should not be saved or reset with the Config vars.
_POLARS_CFG_ENV_VARS: Final[set[str]] = {
    "POLARS_WARN_UNSTABLE",
    "POLARS_FMT_MAX_COLS",
    "POLARS_FMT_MAX_ROWS",
    "POLARS_FMT_NUM_DECIMAL",
    "POLARS_FMT_NUM_GROUP_SEPARATOR",
    "POLARS_FMT_NUM_LEN",
    "POLARS_FMT_STR_LEN",
    "POLARS_FMT_TABLE_CELL_ALIGNMENT",
    "POLARS_FMT_TABLE_CELL_LIST_LEN",
    "POLARS_FMT_TABLE_CELL_NUMERIC_ALIGNMENT",
    "POLARS_FMT_TABLE_DATAFRAME_SHAPE_BELOW",
    "POLARS_FMT_TABLE_FORMATTING",
    "POLARS_FMT_TABLE_HIDE_COLUMN_DATA_TYPES",
    "POLARS_FMT_TABLE_HIDE_COLUMN_NAMES",
    "POLARS_FMT_TABLE_HIDE_COLUMN_SEPARATOR",
    "POLARS_FMT_TABLE_HIDE_DATAFRAME_SHAPE_INFORMATION",
    "POLARS_FMT_TABLE_INLINE_COLUMN_DATA_TYPE",
    "POLARS_FMT_TABLE_ROUNDED_CORNERS",
    "POLARS_STREAMING_CHUNK_SIZE",
    "POLARS_TABLE_WIDTH",
    "POLARS_VERBOSE",
    "POLARS_MAX_EXPR_DEPTH",
    "POLARS_ENGINE_AFFINITY",
}

# vars that set the rust env directly should declare themselves here as the Config
# method name paired with a callable that returns the current state of that value:
with contextlib.suppress(ImportError, NameError):
    # note: 'plr' not available when building docs
    import polars._plr as plr

    _POLARS_CFG_DIRECT_VARS = {
        "set_fmt_float": plr.get_float_fmt,
        "set_float_precision": plr.get_float_precision,
        "set_thousands_separator": plr.get_thousands_separator,
        "set_decimal_separator": plr.get_decimal_separator,
        "set_trim_decimal_zeros": plr.get_trim_decimal_zeros,
    }


class ConfigParameters(TypedDict, total=False):
    """Parameters supported by the polars Config."""

    ascii_tables: bool | None
    auto_structify: bool | None
    decimal_separator: str | None
    thousands_separator: str | bool | None
    float_precision: int | None
    fmt_float: FloatFmt | None
    fmt_str_lengths: int | None
    fmt_table_cell_list_len: int | None
    streaming_chunk_size: int | None
    tbl_cell_alignment: Alignment | None
    tbl_cell_numeric_alignment: Alignment | None
    tbl_cols: int | None
    tbl_column_data_type_inline: bool | None
    tbl_dataframe_shape_below: bool | None
    tbl_formatting: TableFormatNames | None
    tbl_hide_column_data_types: bool | None
    tbl_hide_column_names: bool | None
    tbl_hide_dtype_separator: bool | None
    tbl_hide_dataframe_shape: bool | None
    tbl_rows: int | None
    tbl_width_chars: int | None
    trim_decimal_zeros: bool | None
    verbose: bool | None
    expr_depth_warning: int

    set_ascii_tables: bool | None
    set_auto_structify: bool | None
    set_decimal_separator: str | None
    set_thousands_separator: str | bool | None
    set_float_precision: int | None
    set_fmt_float: FloatFmt | None
    set_fmt_str_lengths: int | None
    set_fmt_table_cell_list_len: int | None
    set_streaming_chunk_size: int | None
    set_tbl_cell_alignment: Alignment | None
    set_tbl_cell_numeric_alignment: Alignment | None
    set_tbl_cols: int | None
    set_tbl_column_data_type_inline: bool | None
    set_tbl_dataframe_shape_below: bool | None
    set_tbl_formatting: TableFormatNames | None
    set_tbl_hide_column_data_types: bool | None
    set_tbl_hide_column_names: bool | None
    set_tbl_hide_dtype_separator: bool | None
    set_tbl_hide_dataframe_shape: bool | None
    set_tbl_rows: int | None
    set_tbl_width_chars: int | None
    set_trim_decimal_zeros: bool | None
    set_verbose: bool | None
    set_expr_depth_warning: int
    set_engine_affinity: EngineType | None


class Config(contextlib.ContextDecorator):
    """
    Configure polars; offers options for table formatting and more.

    Notes
    -----
    Can also be used as a context manager OR a function decorator in order to
    temporarily scope the lifetime of specific options. For example:

    >>> with pl.Config() as cfg:
    ...     # set verbose for more detailed output within the scope
    ...     cfg.set_verbose(True)  # doctest: +IGNORE_RESULT
    >>> # scope exit - no longer in verbose mode

    This can also be written more compactly as:

    >>> with pl.Config(verbose=True):
    ...     pass

    (The compact format is available for all `Config` methods that take a single value).

    Alternatively, you can use as a decorator in order to scope the duration of the
    selected options to a specific function:

    >>> @pl.Config(verbose=True, apply_on_context_enter=True)
    ... def test():
    ...     pass
    """

    _context_options: ConfigParameters | None = None
    _original_state: str = ""

    def __init__(
        self,
        *,
        restore_defaults: bool = False,
        apply_on_context_enter: bool = False,
        **options: Unpack[ConfigParameters],
    ) -> None:
        """
        Initialise a Config object instance for context manager usage.

        Any `options` kwargs should correspond to the available named "set_*"
        methods, but are allowed to omit the "set_" prefix for brevity.

        Parameters
        ----------
        restore_defaults
            set all options to their default values (this is applied before
            setting any other options).
        apply_on_context_enter
            defer applying the options until a context is entered. This allows you
            to create multiple `Config` instances with different options, and then
            reuse them independently as context managers or function decorators
            with specific bundles of parameters.
        **options
            keyword args that will set the option; equivalent to calling the
            named "set_<option>" method with the given value.

        Notes
        -----
        The `apply_on_context_enter` parameter should almost *always* be set True
        when using `Config` as a decorator to ensure that the options are applied
        only within the scope of the decorated function (and not globally at
        module import time).

        Examples
        --------
        Customise Polars table formatting while in context scope:

        >>> df = pl.DataFrame({"abc": [1.0, 2.5, 5.0], "xyz": [True, False, True]})
        >>> with pl.Config(
        ...     # these options will be set for scope duration
        ...     tbl_formatting="MARKDOWN",
        ...     tbl_hide_dataframe_shape=True,
        ...     tbl_rows=10,
        ... ):
        ...     print(df)
        | abc | xyz   |
        | --- | ---   |
        | f64 | bool  |
        |-----|-------|
        | 1.0 | true  |
        | 2.5 | false |
        | 5.0 | true  |

        Establish several independent Config instances for use in different contexts;
        setting `apply_on_context_enter=True` defers setting the parameters until a
        context (or function, when used as a decorator) is actually entered:

        >>> cfg_polars_verbose = pl.Config(
        ...     verbose=True,
        ...     apply_on_context_enter=True,
        ... )
        >>> cfg_polars_detailed_tables = pl.Config(
        ...     tbl_rows=25,
        ...     tbl_cols=25,
        ...     tbl_width_chars=200,
        ...     apply_on_context_enter=True,
        ... )

        These Config instances can now be applied independently and re-used:

        >>> @cfg_polars_verbose
        ... def traced_function(df: pl.DataFrame) -> pl.DataFrame:
        ...     return polars_operations(df)

        >>> @cfg_polars_detailed_tables
        ... def print_detailed_frames(*frames: pl.DataFrame) -> None:
        ...     for df in frames:
        ...         print(df)
        """
        # save original state _before_ any changes are made
        self._original_state = self.save()
        if restore_defaults:
            self.restore_defaults()

        if apply_on_context_enter:
            # defer setting options; apply only on entering a new context
            self._context_options = options
        else:
            # apply the given options immediately
            self._set_config_params(**options)
            self._context_options = None

    def __enter__(self) -> Self:
        """Support setting Config options that are reset on scope exit."""
        self._original_state = self._original_state or self.save()
        if self._context_options:
            self._set_config_params(**self._context_options)
        return self

    def __exit__(
        self,
        exc_type: type[BaseException] | None,
        exc_val: BaseException | None,
        exc_tb: TracebackType | None,
    ) -> None:
        """Reset any Config options that were set within the scope."""
        self.restore_defaults().load(self._original_state)
        self._original_state = ""

    def __eq__(self, other: object) -> bool:
        if not isinstance(other, Config):
            return False
        return (self._original_state == other._original_state) and (
            self._context_options == other._context_options
        )

    def __ne__(self, other: object) -> bool:
        return not self.__eq__(other)

    def _set_config_params(self, **options: Unpack[ConfigParameters]) -> None:
        for opt, value in options.items():
            if not hasattr(self, opt) and not opt.startswith("set_"):
                opt = f"set_{opt}"
            if not hasattr(self, opt):
                msg = f"`Config` has no option {opt!r}"
                raise AttributeError(msg)
            getattr(self, opt)(value)

    @classmethod
    def load(cls, cfg: str) -> Config:
        """
        Load (and set) previously saved Config options from a JSON string.

        Parameters
        ----------
        cfg : str
            JSON string produced by `Config.save()`.

        See Also
        --------
        load_from_file : Load (and set) Config options from a JSON file.
        save : Save the current set of Config options as a JSON string or file.
        """
        try:
            options = json.loads(cfg)
        except json.JSONDecodeError as err:
            msg = "invalid Config string (did you mean to use `load_from_file`?)"
            raise ValueError(msg) from err

        cfg_load = Config()
        opts = options.get("environment", {})
        for key, opt in opts.items():
            if opt is None:
                os.environ.pop(key, None)
            else:
                os.environ[key] = opt

        for cfg_methodname, value in options.get("direct", {}).items():
            if hasattr(cfg_load, cfg_methodname):
                getattr(cfg_load, cfg_methodname)(value)

        plr.config_reload_env_vars()
        return cfg_load

    @classmethod
    def load_from_file(cls, file: Path | str) -> Config:
        """
        Load (and set) previously saved Config options from file.

        Parameters
        ----------
        file : Path | str
            File path to a JSON string produced by `Config.save()`.

        See Also
        --------
        load : Load (and set) Config options from a JSON string.
        save : Save the current set of Config options as a JSON string or file.
        """
        try:
            options = Path(normalize_filepath(file)).read_text()
        except OSError as err:
            msg = f"invalid Config file (did you mean to use `load`?)\n{err}"
            raise ValueError(msg) from err

        return cls.load(options)

    @classmethod
    def restore_defaults(cls) -> type[Config]:
        """
        Reset all polars Config settings to their default state.

        Notes
        -----
        This method operates by removing all Config options from the environment,
        and then setting any local (non-env) options back to their default value.

        Examples
        --------
        >>> cfg = pl.Config.restore_defaults()  # doctest: +SKIP
        """
        # unset all Config environment variables
        for var in _POLARS_CFG_ENV_VARS:
            os.environ.pop(var, None)

        # reset all 'direct' defaults
        for method in _POLARS_CFG_DIRECT_VARS:
            getattr(cls, method)(None)

        plr.config_reload_env_vars()
        return cls

    @classmethod
    def save(cls, *, if_set: bool = False) -> str:
        """
        Save the current set of Config options as a JSON string.

        Parameters
        ----------
        if_set
            By default this will save the state of all configuration options; set
            to `False` to save only those that have been set to a non-default value.

        See Also
        --------
        load : Load (and set) Config options from a JSON string.
        load_from_file : Load (and set) Config options from a JSON file.
        save_to_file : Save the current set of Config options as a JSON file.

        Examples
        --------
        >>> json_state = pl.Config.save()

        Returns
        -------
        str
            JSON string containing current Config options.
        """
        environment_vars = {
            key: os.environ.get(key)
            for key in sorted(_POLARS_CFG_ENV_VARS)
            if not if_set or (os.environ.get(key) is not None)
        }
        direct_vars = {
            cfg_methodname: get_value()
            for cfg_methodname, get_value in _POLARS_CFG_DIRECT_VARS.items()
        }
        options = json.dumps(
            {"environment": environment_vars, "direct": direct_vars},
            separators=(",", ":"),
        )
        return options

    @classmethod
    def save_to_file(cls, file: Path | str) -> None:
        """
        Save the current set of Config options as a JSON file.

        Parameters
        ----------
        file
            Optional path to a file into which the JSON string will be written.
            Leave as `None` to return the JSON string directly.

        See Also
        --------
        load : Load (and set) Config options from a JSON string.
        load_from_file : Load (and set) Config options from a JSON file.
        save : Save the current set of Config options as a JSON string.

        Examples
        --------
        >>> pl.Config().save_to_file("~/polars/config.json")  # doctest: +SKIP
        """
        file = Path(normalize_filepath(file)).resolve()
        file.write_text(cls.save())

    @classmethod
    def state(
        cls, *, if_set: bool = False, env_only: bool = False
    ) -> dict[str, str | None]:
        """
        Show the current state of all Config variables in the environment as a dict.

        Parameters
        ----------
        if_set
            By default this will show the state of all `Config` environment variables.
            change this to `True` to restrict the returned dictionary to include only
            those that have been set to a specific value.
        env_only
            Include only Config environment variables in the output; some options (such
            as "set_fmt_float") are set directly, not via an environment variable.

        Examples
        --------
        >>> set_state = pl.Config.state(if_set=True)
        >>> all_state = pl.Config.state()
        """
        config_state = {
            var: os.environ.get(var)
            for var in sorted(_POLARS_CFG_ENV_VARS)
            if not if_set or (os.environ.get(var) is not None)
        }
        if not env_only:
            for cfg_methodname, get_value in _POLARS_CFG_DIRECT_VARS.items():
                config_state[cfg_methodname] = get_value()  # type: ignore[assignment]

        return config_state

    @classmethod
    def set_ascii_tables(cls, active: bool | None = True) -> type[Config]:
        """
        Use ASCII characters to display table outlines.

        Set False to revert to the standard UTF8_FULL_CONDENSED formatting style.

        See Also
        --------
        set_tbl_formatting : Set the table formatting style (includes Markdown option).

        Examples
        --------
        >>> df = pl.DataFrame({"abc": [1.0, 2.5, 5.0], "xyz": [True, False, True]})
        >>> pl.Config.set_ascii_tables(True)  # doctest: +SKIP
        # ...
        # shape: (3, 2)        shape: (3, 2)
        # ┌─────┬───────┐      +-----+-------+
        # │ abc ┆ xyz   │      | abc | xyz   |
        # │ --- ┆ ---   │      | --- | ---   |
        # │ f64 ┆ bool  │      | f64 | bool  |
        # ╞═════╪═══════╡      +=============+
        # │ 1.0 ┆ true  │  >>  | 1.0 | true  |
        # │ 2.5 ┆ false │      | 2.5 | false |
        # │ 5.0 ┆ true  │      | 5.0 | true  |
        # └─────┴───────┘      +-----+-------+
        """
        if active is None:
            os.environ.pop("POLARS_FMT_TABLE_FORMATTING", None)
        else:
            fmt = "ASCII_FULL_CONDENSED" if active else "UTF8_FULL_CONDENSED"
            os.environ["POLARS_FMT_TABLE_FORMATTING"] = fmt
        plr.config_reload_env_var("POLARS_FMT_TABLE_FORMATTING")
        return cls

    @classmethod
    @deprecated("deprecated since version 1.32.0")
    def set_auto_structify(cls, active: bool | None = False) -> type[Config]:
        """
        Allow multi-output expressions to be automatically turned into Structs.

        .. note::
            Deprecated since 1.32.0.

        Examples
        --------
        >>> df = pl.DataFrame({"v": [1, 2, 3], "v2": [4, 5, 6]})
        >>> with pl.Config(set_auto_structify=True):  # doctest: +SKIP
        ...     out = df.select(pl.all())
        >>> out  # doctest: +SKIP
        shape: (3, 1)
        ┌───────────┐
        │ v         │
        │ ---       │
        │ struct[2] │
        ╞═══════════╡
        │ {1,4}     │
        │ {2,5}     │
        │ {3,6}     │
        └───────────┘
        """
        if active is None:
            os.environ.pop("POLARS_AUTO_STRUCTIFY", None)
        else:
            os.environ["POLARS_AUTO_STRUCTIFY"] = str(int(active))
        plr.config_reload_env_var("POLARS_AUTO_STRUCTIFY")
        return cls

    @classmethod
    def set_decimal_separator(cls, separator: str | None = None) -> type[Config]:
        """
        Set the decimal separator character.

        Parameters
        ----------
        separator : str, bool
            Character to use as the decimal separator.
            Set to ``None`` to revert to the default (".").

        See Also
        --------
        set_thousands_separator : Set the thousands grouping separator character.

        Examples
        --------
        >>> df = pl.DataFrame({"v": [9876.54321, 1010101.0, -123456.78]})
        >>> with pl.Config(
        ...     tbl_cell_numeric_alignment="RIGHT",
        ...     thousands_separator=".",
        ...     decimal_separator=",",
        ...     float_precision=3,
        ... ):
        ...     print(df)
        shape: (3, 1)
        ┌───────────────┐
        │             v │
        │           --- │
        │           f64 │
        ╞═══════════════╡
        │     9.876,543 │
        │ 1.010.101,000 │
        │  -123.456,780 │
        └───────────────┘
        """
        if isinstance(separator, str) and len(separator) != 1:
            msg = f"`separator` must be a single character; found {separator!r}"
            raise ValueError(msg)
        plr.set_decimal_separator(sep=separator)
        return cls

    @classmethod
    def set_thousands_separator(
        cls, separator: str | bool | None = None
    ) -> type[Config]:
        """
        Set the thousands grouping separator character.

        Parameters
        ----------
        separator : str, bool
            Set True to use the default "," (thousands) and "." (decimal) separators.
            Can also set a custom char, or set ``None`` to omit the separator.

        See Also
        --------
        set_decimal_separator : Set the decimal separator character.

        Examples
        --------
        >>> df = pl.DataFrame(
        ...     {
        ...         "x": [1234567, -987654, 10101],
        ...         "y": [1234.5, 100000.0, -7654321.25],
        ...     }
        ... )
        >>> with pl.Config(
        ...     tbl_cell_numeric_alignment="RIGHT",
        ...     thousands_separator=True,
        ...     float_precision=2,
        ... ):
        ...     print(df)
        shape: (3, 2)
        ┌───────────┬───────────────┐
        │         x ┆             y │
        │       --- ┆           --- │
        │       i64 ┆           f64 │
        ╞═══════════╪═══════════════╡
        │ 1,234,567 ┆      1,234.50 │
        │  -987,654 ┆    100,000.00 │
        │    10,101 ┆ -7,654,321.25 │
        └───────────┴───────────────┘
        >>> with pl.Config(
        ...     tbl_cell_numeric_alignment="RIGHT",
        ...     thousands_separator=".",
        ...     decimal_separator=",",
        ...     float_precision=2,
        ... ):
        ...     print(df)
        shape: (3, 2)
        ┌───────────┬───────────────┐
        │         x ┆             y │
        │       --- ┆           --- │
        │       i64 ┆           f64 │
        ╞═══════════╪═══════════════╡
        │ 1.234.567 ┆      1.234,50 │
        │  -987.654 ┆    100.000,00 │
        │    10.101 ┆ -7.654.321,25 │
        └───────────┴───────────────┘
        """
        if separator is True:
            plr.set_decimal_separator(sep=".")
            plr.set_thousands_separator(sep=",")
        else:
            if isinstance(separator, str) and len(separator) > 1:
                msg = f"`separator` must be a single character; found {separator!r}"
                raise ValueError(msg)
            plr.set_thousands_separator(sep=separator or None)
        return cls

    @classmethod
    def set_float_precision(cls, precision: int | None = None) -> type[Config]:
        """
        Control the number of decimal places displayed for floating point values.

        Parameters
        ----------
        precision : int
            Number of decimal places to display; set to `None` to revert to the
            default/standard behaviour.

        Notes
        -----
        When setting this to a larger value you should ensure that you are aware of both
        the limitations of floating point representations, and of the precision of the
        data that you are looking at.

        This setting only applies to :class:`.Float16`, :class:`.Float32`, and
        :class:`.Float64` dtypes; it does not cover :class:`.Decimal` dtype values
        (which are displayed at their native level of precision).

        Examples
        --------
        Set a large maximum float precision:

        >>> from math import pi, e
        >>> df = pl.DataFrame({"const": ["pi", "e"], "value": [pi, e]})
        >>> with pl.Config(float_precision=15):
        ...     print(df)
        shape: (2, 2)
        ┌───────┬───────────────────┐
        │ const ┆ value             │
        │ ---   ┆ ---               │
        │ str   ┆ f64               │
        ╞═══════╪═══════════════════╡
        │ pi    ┆ 3.141592653589793 │
        │ e     ┆ 2.718281828459045 │
        └───────┴───────────────────┘

        Set a fixed float precision and align numeric columns to the
        right in order to cleanly line-up the decimal separator:

        >>> df = pl.DataFrame(
        ...     {
        ...         "a": ["xx", "yy"],
        ...         "b": [-11111111, 44444444444],
        ...         "c": [100000.987654321, -23456789],
        ...     }
        ... )
        >>> with pl.Config(
        ...     tbl_cell_numeric_alignment="RIGHT",
        ...     thousands_separator=",",
        ...     float_precision=3,
        ... ):
        ...     print(df)
        shape: (2, 3)
        ┌─────┬────────────────┬─────────────────┐
        │ a   ┆              b ┆               c │
        │ --- ┆            --- ┆             --- │
        │ str ┆            i64 ┆             f64 │
        ╞═════╪════════════════╪═════════════════╡
        │ xx  ┆    -11,111,111 ┆     100,000.988 │
        │ yy  ┆ 44,444,444,444 ┆ -23,456,789.000 │
        └─────┴────────────────┴─────────────────┘
        """
        plr.set_float_precision(precision)
        return cls

    @classmethod
    def set_fmt_float(cls, fmt: FloatFmt | None = "mixed") -> type[Config]:
        """
        Control how floating point values are displayed.

        Parameters
        ----------
        fmt : {"mixed", "full"}
            How to format floating point numbers:

            - "mixed": Limit the number of decimal places and use scientific
              notation for large/small values.
            - "full": Print the full precision of the floating point number.

        Examples
        --------
        "mixed" float formatting:

        >>> s = pl.Series([1.2304980958725870923, 1e6, 1e-8])
        >>> with pl.Config(set_fmt_float="mixed"):
        ...     print(s)
        shape: (3,)
        Series: '' [f64]
        [
            1.230498
            1e6
            1.0000e-8
        ]

        "full" float formatting:

        >>> with pl.Config(set_fmt_float="full"):
        ...     print(s)
        shape: (3,)
        Series: '' [f64]
        [
            1.230498095872587
            1000000
            0.00000001
        ]
        """
        plr.set_float_fmt(fmt="mixed" if fmt is None else fmt)
        return cls

    @classmethod
    def set_fmt_str_lengths(cls, n: int | None) -> type[Config]:
        """
        Set the number of characters used to display string values.

        Parameters
        ----------
        n : int
            Number of characters to display.

        Examples
        --------
        >>> df = pl.DataFrame(
        ...     {
        ...         "txt": [
        ...             "Play it, Sam. Play 'As Time Goes By'.",
        ...             "This is the beginning of a beautiful friendship.",
        ...         ]
        ...     }
        ... )
        >>> df.with_columns(pl.col("txt").str.len_bytes().alias("len"))
        shape: (2, 2)
        ┌─────────────────────────────────┬─────┐
        │ txt                             ┆ len │
        │ ---                             ┆ --- │
        │ str                             ┆ u32 │
        ╞═════════════════════════════════╪═════╡
        │ Play it, Sam. Play 'As Time Go… ┆ 37  │
        │ This is the beginning of a bea… ┆ 48  │
        └─────────────────────────────────┴─────┘
        >>> with pl.Config(fmt_str_lengths=50):
        ...     print(df)
        shape: (2, 1)
        ┌──────────────────────────────────────────────────┐
        │ txt                                              │
        │ ---                                              │
        │ str                                              │
        ╞══════════════════════════════════════════════════╡
        │ Play it, Sam. Play 'As Time Goes By'.            │
        │ This is the beginning of a beautiful friendship. │
        └──────────────────────────────────────────────────┘
        """
        if n is None:
            os.environ.pop("POLARS_FMT_STR_LEN", None)
        else:
            if n <= 0:
                msg = "number of characters must be > 0"
                raise ValueError(msg)

            os.environ["POLARS_FMT_STR_LEN"] = str(n)
        plr.config_reload_env_var("POLARS_FMT_STR_LEN")
        return cls

    @classmethod
    def set_fmt_table_cell_list_len(cls, n: int | None) -> type[Config]:
        """
        Set the number of elements to display for List values.

        Empty lists will always print "[]". Negative values will result in all values
        being printed. A value of 0 will always "[…]" for lists with contents. A value
        of 1 will print only the final item in the list.

        Parameters
        ----------
        n : int
            Number of values to display.

        Examples
        --------
        >>> df = pl.DataFrame(
        ...     {
        ...         "nums": [
        ...             [1, 2, 3, 4, 5, 6],
        ...         ]
        ...     }
        ... )
        >>> df
        shape: (1, 1)
        ┌─────────────┐
        │ nums        │
        │ ---         │
        │ list[i64]   │
        ╞═════════════╡
        │ [1, 2, … 6] │
        └─────────────┘
        >>> with pl.Config(fmt_table_cell_list_len=10):
        ...     print(df)
        shape: (1, 1)
        ┌────────────────────┐
        │ nums               │
        │ ---                │
        │ list[i64]          │
        ╞════════════════════╡
        │ [1, 2, 3, 4, 5, 6] │
        └────────────────────┘
        """
        if n is None:
            os.environ.pop("POLARS_FMT_TABLE_CELL_LIST_LEN", None)
        else:
            os.environ["POLARS_FMT_TABLE_CELL_LIST_LEN"] = str(n)
        plr.config_reload_env_var("POLARS_FMT_TABLE_CELL_LIST_LEN")
        return cls

    @classmethod
    def set_streaming_chunk_size(cls, size: int | None) -> type[Config]:
        """
        Overwrite chunk size used in `streaming` engine.

        By default, the chunk size is determined by the schema
        and size of the thread pool. For some datasets (esp.
        when you have large string elements) this can be too
        optimistic and lead to Out of Memory errors.

        Parameters
        ----------
        size
            Number of rows per chunk. Every thread will process chunks
            of this size.
        """
        if size is None:
            os.environ.pop("POLARS_STREAMING_CHUNK_SIZE", None)
        else:
            if size < 1:
                msg = "number of rows per chunk must be >= 1"
                raise ValueError(msg)

            os.environ["POLARS_STREAMING_CHUNK_SIZE"] = str(size)
        plr.config_reload_env_var("POLARS_STREAMING_CHUNK_SIZE")
        return cls

    @classmethod
    def set_tbl_cell_alignment(cls, format: Alignment | None) -> type[Config]:
        """
        Set table cell alignment.

        Parameters
        ----------
        format : str
            * "LEFT": left aligned
            * "CENTER": center aligned
            * "RIGHT": right aligned

        Examples
        --------
        >>> df = pl.DataFrame(
        ...     {"column_abc": [1.0, 2.5, 5.0], "column_xyz": [True, False, True]}
        ... )
        >>> pl.Config.set_tbl_cell_alignment("RIGHT")  # doctest: +IGNORE_RESULT
        >>> print(df)
        shape: (3, 2)
        ┌────────────┬────────────┐
        │ column_abc ┆ column_xyz │
        │        --- ┆        --- │
        │        f64 ┆       bool │
        ╞════════════╪════════════╡
        │        1.0 ┆       true │
        │        2.5 ┆      false │
        │        5.0 ┆       true │
        └────────────┴────────────┘

        Raises
        ------
        ValueError: if alignment string not recognised.
        """
        if format is None:
            os.environ.pop("POLARS_FMT_TABLE_CELL_ALIGNMENT", None)
        elif (format := format.upper()) not in {"LEFT", "CENTER", "RIGHT"}:  # type: ignore[assignment]
            msg = f"invalid alignment: {format!r}"
            raise ValueError(msg)
        else:
            os.environ["POLARS_FMT_TABLE_CELL_ALIGNMENT"] = format
        plr.config_reload_env_var("POLARS_FMT_TABLE_CELL_ALIGNMENT")
        return cls

    @classmethod
    def set_tbl_cell_numeric_alignment(cls, format: Alignment | None) -> type[Config]:
        """
        Set table cell alignment for numeric columns.

        Parameters
        ----------
        format : str
            * "LEFT": left aligned
            * "CENTER": center aligned
            * "RIGHT": right aligned

        Examples
        --------
        >>> from datetime import date
        >>> df = pl.DataFrame(
        ...     {
        ...         "abc": [11, 2, 333],
        ...         "mno": [date(2023, 10, 29), None, date(2001, 7, 5)],
        ...         "xyz": [True, False, None],
        ...     }
        ... )
        >>> pl.Config.set_tbl_cell_numeric_alignment("RIGHT")  # doctest: +IGNORE_RESULT
        >>> print(df)
        shape: (3, 3)
        ┌─────┬────────────┬───────┐
        │ abc ┆ mno        ┆ xyz   │
        │ --- ┆ ---        ┆ ---   │
        │ i64 ┆ date       ┆ bool  │
        ╞═════╪════════════╪═══════╡
        │  11 ┆ 2023-10-29 ┆ true  │
        │   2 ┆ null       ┆ false │
        │ 333 ┆ 2001-07-05 ┆ null  │
        └─────┴────────────┴───────┘

        Raises
        ------
        KeyError: if alignment string not recognised.
        """
        if format is None:
            os.environ.pop("POLARS_FMT_TABLE_CELL_NUMERIC_ALIGNMENT", None)
        elif (format := format.upper()) not in {"LEFT", "CENTER", "RIGHT"}:  # type: ignore[assignment]
            msg = f"invalid alignment: {format!r}"
            raise ValueError(msg)
        else:
            os.environ["POLARS_FMT_TABLE_CELL_NUMERIC_ALIGNMENT"] = format
        plr.config_reload_env_var("POLARS_FMT_TABLE_CELL_NUMERIC_ALIGNMENT")
        return cls

    @classmethod
    def set_tbl_cols(cls, n: int | None) -> type[Config]:
        """
        Set the number of columns that are visible when displaying tables.

        Parameters
        ----------
        n : int
            Number of columns to display; if `n < 0` (eg: -1), display all columns.

        Examples
        --------
        Set number of displayed columns to a low value:

        >>> with pl.Config() as cfg:
        ...     cfg.set_tbl_cols(5)
        ...     df = pl.DataFrame({str(i): [i] for i in range(100)})
        ...     print(df)
        <class 'polars.config.Config'>
        shape: (1, 100)
        ┌─────┬─────┬─────┬───┬─────┬─────┐
        │ 0   ┆ 1   ┆ 2   ┆ … ┆ 98  ┆ 99  │
        │ --- ┆ --- ┆ --- ┆   ┆ --- ┆ --- │
        │ i64 ┆ i64 ┆ i64 ┆   ┆ i64 ┆ i64 │
        ╞═════╪═════╪═════╪═══╪═════╪═════╡
        │ 0   ┆ 1   ┆ 2   ┆ … ┆ 98  ┆ 99  │
        └─────┴─────┴─────┴───┴─────┴─────┘

        >>> with pl.Config(tbl_cols=10):
        ...     print(df)
        shape: (1, 100)
        ┌─────┬─────┬─────┬─────┬─────┬───┬─────┬─────┬─────┬─────┬─────┐
        │ 0   ┆ 1   ┆ 2   ┆ 3   ┆ 4   ┆ … ┆ 95  ┆ 96  ┆ 97  ┆ 98  ┆ 99  │
        │ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆   ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │
        │ i64 ┆ i64 ┆ i64 ┆ i64 ┆ i64 ┆   ┆ i64 ┆ i64 ┆ i64 ┆ i64 ┆ i64 │
        ╞═════╪═════╪═════╪═════╪═════╪═══╪═════╪═════╪═════╪═════╪═════╡
        │ 0   ┆ 1   ┆ 2   ┆ 3   ┆ 4   ┆ … ┆ 95  ┆ 96  ┆ 97  ┆ 98  ┆ 99  │
        └─────┴─────┴─────┴─────┴─────┴───┴─────┴─────┴─────┴─────┴─────┘
        """
        if n is None:
            os.environ.pop("POLARS_FMT_MAX_COLS", None)
        else:
            os.environ["POLARS_FMT_MAX_COLS"] = str(n)
        plr.config_reload_env_var("POLARS_FMT_MAX_COLS")
        return cls

    @classmethod
    def set_tbl_column_data_type_inline(
        cls, active: bool | None = True
    ) -> type[Config]:
        """
        Display the data type next to the column name (to the right, in parentheses).

        Examples
        --------
        >>> df = pl.DataFrame({"abc": [1.0, 2.5, 5.0], "xyz": [True, False, True]})
        >>> pl.Config.set_tbl_column_data_type_inline(True)  # doctest: +SKIP
        # ...
        # shape: (3, 2)        shape: (3, 2)
        # ┌─────┬───────┐      ┌───────────┬────────────┐
        # │ abc ┆ xyz   │      │ abc (f64) ┆ xyz (bool) │
        # │ --- ┆ ---   │      ╞═══════════╪════════════╡
        # │ f64 ┆ bool  │      │ 1.0       ┆ true       │
        # ╞═════╪═══════╡  >>  │ 2.5       ┆ false      │
        # │ 1.0 ┆ true  │      │ 5.0       ┆ true       │
        # │ 2.5 ┆ false │      └───────────┴────────────┘
        # │ 5.0 ┆ true  │
        # └─────┴───────┘
        """
        if active is None:
            os.environ.pop("POLARS_FMT_TABLE_INLINE_COLUMN_DATA_TYPE", None)
        else:
            os.environ["POLARS_FMT_TABLE_INLINE_COLUMN_DATA_TYPE"] = str(int(active))
        plr.config_reload_env_var("POLARS_FMT_TABLE_INLINE_COLUMN_DATA_TYPE")
        return cls

    @classmethod
    def set_tbl_dataframe_shape_below(cls, active: bool | None = True) -> type[Config]:
        """
        Print the DataFrame shape information below the data when displaying tables.

        Examples
        --------
        >>> df = pl.DataFrame({"abc": [1.0, 2.5, 5.0], "xyz": [True, False, True]})
        >>> pl.Config.set_tbl_dataframe_shape_below(True)  # doctest: +SKIP
        # ...
        # shape: (3, 2)        ┌─────┬───────┐
        # ┌─────┬───────┐      │ abc ┆ xyz   │
        # │ abc ┆ xyz   │      │ --- ┆ ---   │
        # │ --- ┆ ---   │      │ f64 ┆ bool  │
        # │ f64 ┆ bool  │      ╞═════╪═══════╡
        # ╞═════╪═══════╡  >>  │ 1.0 ┆ true  │
        # │ 1.0 ┆ true  │      │ 2.5 ┆ false │
        # │ 2.5 ┆ false │      │ 5.0 ┆ true  │
        # │ 5.0 ┆ true  │      └─────┴───────┘
        # └─────┴───────┘      shape: (3, 2)
        """
        if active is None:
            os.environ.pop("POLARS_FMT_TABLE_DATAFRAME_SHAPE_BELOW", None)
        else:
            os.environ["POLARS_FMT_TABLE_DATAFRAME_SHAPE_BELOW"] = str(int(active))
        plr.config_reload_env_var("POLARS_FMT_TABLE_DATAFRAME_SHAPE_BELOW")
        return cls

    @classmethod
    def set_tbl_formatting(
        cls,
        format: TableFormatNames | None = None,
        rounded_corners: bool | None = False,
    ) -> type[Config]:
        """
        Set table formatting style.

        Parameters
        ----------
        format : str
            * "ASCII_FULL": ASCII, with all borders and lines, including row dividers.
            * "ASCII_FULL_CONDENSED": Same as ASCII_FULL, but with dense row spacing.
            * "ASCII_NO_BORDERS": ASCII, no borders.
            * "ASCII_BORDERS_ONLY": ASCII, borders only.
            * "ASCII_BORDERS_ONLY_CONDENSED": ASCII, borders only, dense row spacing.
            * "ASCII_HORIZONTAL_ONLY": ASCII, horizontal lines only.
            * "ASCII_MARKDOWN": Markdown format (ascii ellipses for truncated values).
            * "MARKDOWN": Markdown format (utf8 ellipses for truncated values).
            * "UTF8_FULL": UTF8, with all borders and lines, including row dividers.
            * "UTF8_FULL_CONDENSED": Same as UTF8_FULL, but with dense row spacing.
            * "UTF8_NO_BORDERS": UTF8, no borders.
            * "UTF8_BORDERS_ONLY": UTF8, borders only.
            * "UTF8_HORIZONTAL_ONLY": UTF8, horizontal lines only.
            * "NOTHING": No borders or other lines.

        rounded_corners : bool
            Apply rounded corners to UTF8-styled tables (no-op for ASCII formats).

        Notes
        -----
        The UTF8 styles all use one or more of the semigraphic box-drawing characters
        found in the Unicode Box Drawing block, which are not ASCII compatible:
        https://en.wikipedia.org/wiki/Box-drawing_character#Box_Drawing

        Examples
        --------
        >>> df = pl.DataFrame(
        ...     {"abc": [-2.5, 5.0], "mno": ["hello", "world"], "xyz": [True, False]}
        ... )
        >>> with pl.Config(
        ...     tbl_formatting="MARKDOWN",
        ...     tbl_hide_column_data_types=True,
        ...     tbl_hide_dataframe_shape=True,
        ... ):
        ...     print(df)
        | abc  | mno   | xyz   |
        |------|-------|-------|
        | -2.5 | hello | true  |
        | 5.0  | world | false |

        Raises
        ------
        ValueError: if format string not recognised.
        """
        # note: can see what the different styles look like in the comfy-table tests
        # https://github.com/Nukesor/comfy-table/blob/main/tests/all/presets_test.rs
        if format is None:
            os.environ.pop("POLARS_FMT_TABLE_FORMATTING", None)
        else:
            valid_format_names = get_args(TableFormatNames)
            if (format_upper := format.upper()) not in valid_format_names:
                msg = f"invalid table format name: {format!r}\nExpected one of: {', '.join(valid_format_names)}"
                raise ValueError(msg)
            os.environ["POLARS_FMT_TABLE_FORMATTING"] = format_upper
        plr.config_reload_env_var("POLARS_FMT_TABLE_FORMATTING")

        if rounded_corners is None:
            os.environ.pop("POLARS_FMT_TABLE_ROUNDED_CORNERS", None)
        else:
            os.environ["POLARS_FMT_TABLE_ROUNDED_CORNERS"] = str(int(rounded_corners))
        plr.config_reload_env_var("POLARS_FMT_TABLE_ROUNDED_CORNERS")

        return cls

    @classmethod
    def set_tbl_hide_column_data_types(cls, active: bool | None = True) -> type[Config]:
        """
        Hide table column data types (i64, f64, str etc.).

        Examples
        --------
        >>> df = pl.DataFrame({"abc": [1.0, 2.5, 5.0], "xyz": [True, False, True]})
        >>> pl.Config.set_tbl_hide_column_data_types(True)  # doctest: +SKIP
        # ...
        # shape: (3, 2)        shape: (3, 2)
        # ┌─────┬───────┐      ┌─────┬───────┐
        # │ abc ┆ xyz   │      │ abc ┆ xyz   │
        # │ --- ┆ ---   │      ╞═════╪═══════╡
        # │ f64 ┆ bool  │      │ 1.0 ┆ true  │
        # ╞═════╪═══════╡  >>  │ 2.5 ┆ false │
        # │ 1.0 ┆ true  │      │ 5.0 ┆ true  │
        # │ 2.5 ┆ false │      └─────┴───────┘
        # │ 5.0 ┆ true  │
        # └─────┴───────┘
        """
        if active is None:
            os.environ.pop("POLARS_FMT_TABLE_HIDE_COLUMN_DATA_TYPES", None)
        else:
            os.environ["POLARS_FMT_TABLE_HIDE_COLUMN_DATA_TYPES"] = str(int(active))
        plr.config_reload_env_var("POLARS_FMT_TABLE_HIDE_COLUMN_DATA_TYPES")
        return cls

    @classmethod
    def set_tbl_hide_column_names(cls, active: bool | None = True) -> type[Config]:
        """
        Hide table column names.

        Examples
        --------
        >>> df = pl.DataFrame({"abc": [1.0, 2.5, 5.0], "xyz": [True, False, True]})
        >>> pl.Config.set_tbl_hide_column_names(True)  # doctest: +SKIP
        # ...
        # shape: (3, 2)        shape: (3, 2)
        # ┌─────┬───────┐      ┌─────┬───────┐
        # │ abc ┆ xyz   │      │ f64 ┆ bool  │
        # │ --- ┆ ---   │      ╞═════╪═══════╡
        # │ f64 ┆ bool  │      │ 1.0 ┆ true  │
        # ╞═════╪═══════╡  >>  │ 2.5 ┆ false │
        # │ 1.0 ┆ true  │      │ 5.0 ┆ true  │
        # │ 2.5 ┆ false │      └─────┴───────┘
        # │ 5.0 ┆ true  │
        # └─────┴───────┘
        """
        if active is None:
            os.environ.pop("POLARS_FMT_TABLE_HIDE_COLUMN_NAMES", None)
        else:
            os.environ["POLARS_FMT_TABLE_HIDE_COLUMN_NAMES"] = str(int(active))
        plr.config_reload_env_var("POLARS_FMT_TABLE_HIDE_COLUMN_NAMES")
        return cls

    @classmethod
    def set_tbl_hide_dtype_separator(cls, active: bool | None = True) -> type[Config]:
        """
        Hide the '---' separator displayed between the column names and column types.

        See Also
        --------
        set_tbl_column_data_type_inline : Display the data type inline with the colname.

        Examples
        --------
        >>> df = pl.DataFrame({"abc": [1.0, 2.5, 5.0], "xyz": [True, False, True]})
        >>> pl.Config.set_tbl_hide_dtype_separator(True)  # doctest: +SKIP
        # ...
        # shape: (3, 2)        shape: (3, 2)
        # ┌─────┬───────┐      ┌─────┬───────┐
        # │ abc ┆ xyz   │      │ abc ┆ xyz   │
        # │ --- ┆ ---   │      │ f64 ┆ bool  │
        # │ f64 ┆ bool  │      ╞═════╪═══════╡
        # ╞═════╪═══════╡      │ 1.0 ┆ true  │
        # │ 1.0 ┆ true  │  >>  │ 2.5 ┆ false │
        # │ 2.5 ┆ false │      │ 5.0 ┆ true  │
        # │ 5.0 ┆ true  │      └─────┴───────┘
        # └─────┴───────┘
        """
        if active is None:
            os.environ.pop("POLARS_FMT_TABLE_HIDE_COLUMN_SEPARATOR", None)
        else:
            os.environ["POLARS_FMT_TABLE_HIDE_COLUMN_SEPARATOR"] = str(int(active))
        plr.config_reload_env_var("POLARS_FMT_TABLE_HIDE_COLUMN_SEPARATOR")
        return cls

    @classmethod
    def set_tbl_hide_dataframe_shape(cls, active: bool | None = True) -> type[Config]:
        """
        Hide the DataFrame shape information when displaying tables.

        Examples
        --------
        >>> df = pl.DataFrame({"abc": [1.0, 2.5, 5.0], "xyz": [True, False, True]})
        >>> pl.Config.set_tbl_hide_dataframe_shape(True)  # doctest: +SKIP
        # ...
        # shape: (3, 2)        ┌─────┬───────┐
        # ┌─────┬───────┐      │ abc ┆ xyz   │
        # │ abc ┆ xyz   │      │ --- ┆ ---   │
        # │ --- ┆ ---   │      │ f64 ┆ bool  │
        # │ f64 ┆ bool  │      ╞═════╪═══════╡
        # ╞═════╪═══════╡      │ 1.0 ┆ true  │
        # │ 1.0 ┆ true  │  >>  │ 2.5 ┆ false │
        # │ 2.5 ┆ false │      │ 5.0 ┆ true  │
        # │ 5.0 ┆ true  │      └─────┴───────┘
        # └─────┴───────┘
        """
        if active is None:
            os.environ.pop("POLARS_FMT_TABLE_HIDE_DATAFRAME_SHAPE_INFORMATION", None)
        else:
            os.environ["POLARS_FMT_TABLE_HIDE_DATAFRAME_SHAPE_INFORMATION"] = str(
                int(active)
            )
        plr.config_reload_env_var("POLARS_FMT_TABLE_HIDE_DATAFRAME_SHAPE_INFORMATION")
        return cls

    @classmethod
    def set_tbl_rows(cls, n: int | None) -> type[Config]:
        """
        Set the max number of rows used to draw the table (both Dataframe and Series).

        Parameters
        ----------
        n : int
            Number of rows to display; if `n < 0` (eg: -1), display all
            rows (DataFrame) and all elements (Series).

        Examples
        --------
        >>> df = pl.DataFrame(
        ...     {"abc": [1.0, 2.5, 3.5, 5.0], "xyz": [True, False, True, False]}
        ... )
        >>> with pl.Config(tbl_rows=2):
        ...     print(df)
        shape: (4, 2)
        ┌─────┬───────┐
        │ abc ┆ xyz   │
        │ --- ┆ ---   │
        │ f64 ┆ bool  │
        ╞═════╪═══════╡
        │ 1.0 ┆ true  │
        │ …   ┆ …     │
        │ 5.0 ┆ false │
        └─────┴───────┘
        """
        if n is None:
            os.environ.pop("POLARS_FMT_MAX_ROWS", None)
        else:
            os.environ["POLARS_FMT_MAX_ROWS"] = str(n)
        plr.config_reload_env_var("POLARS_FMT_MAX_ROWS")
        return cls

    @classmethod
    def set_tbl_width_chars(cls, width: int | None) -> type[Config]:
        """
        Set the maximum width of a table in characters.

        Parameters
        ----------
        width : int
            Maximum table width in characters; if n < 0 (eg: -1), display full width.

        Examples
        --------
        >>> df = pl.DataFrame(
        ...     {
        ...         "id": ["SEQ1", "SEQ2"],
        ...         "seq": ["ATGATAAAGGAG", "GCAACGCATATA"],
        ...     }
        ... )
        >>> df
        shape: (2, 2)
        ┌──────┬──────────────┐
        │ id   ┆ seq          │
        │ ---  ┆ ---          │
        │ str  ┆ str          │
        ╞══════╪══════════════╡
        │ SEQ1 ┆ ATGATAAAGGAG │
        │ SEQ2 ┆ GCAACGCATATA │
        └──────┴──────────────┘
        >>> pl.Config.set_tbl_width_chars(12)  # doctest: +IGNORE_RESULT
        >>> df
        shape: (2, 2)
        ┌─────┬─────┐
        │ id  ┆ seq │
        │ --- ┆ --- │
        │ str ┆ str │
        ╞═════╪═════╡
        │ SEQ ┆ ATG │
        │ 1   ┆ ATA │
        │     ┆ AAG │
        │     ┆ GAG │
        │ SEQ ┆ GCA │
        │ 2   ┆ ACG │
        │     ┆ CAT │
        │     ┆ ATA │
        └─────┴─────┘
        """
        if width is None:
            os.environ.pop("POLARS_TABLE_WIDTH", None)
        else:
            os.environ["POLARS_TABLE_WIDTH"] = str(width)
        plr.config_reload_env_var("POLARS_TABLE_WIDTH")
        return cls

    @classmethod
    def set_trim_decimal_zeros(cls, active: bool | None = True) -> type[Config]:
        """
        Strip trailing zeros from Decimal data type values.

        Parameters
        ----------
        active : bool
            Enable stripping of trailing '0' characters from Decimal values.

        Examples
        --------
        >>> from decimal import Decimal as D
        >>> df = pl.DataFrame(
        ...     data={"d": [D("1.01000"), D("-5.67890")]},
        ...     schema={"d": pl.Decimal(scale=5)},
        ... )
        >>> with pl.Config(trim_decimal_zeros=False):
        ...     print(df)
        shape: (2, 1)
        ┌───────────────┐
        │ d             │
        │ ---           │
        │ decimal[38,5] │
        ╞═══════════════╡
        │ 1.01000       │
        │ -5.67890      │
        └───────────────┘
        >>> with pl.Config(trim_decimal_zeros=True):
        ...     print(df)
        shape: (2, 1)
        ┌───────────────┐
        │ d             │
        │ ---           │
        │ decimal[38,5] │
        ╞═══════════════╡
        │ 1.01          │
        │ -5.6789       │
        └───────────────┘
        """
        plr.set_trim_decimal_zeros(active)
        return cls

    @classmethod
    def set_verbose(cls, active: bool | None = True) -> type[Config]:
        """
        Enable additional verbose/debug logging.

        Examples
        --------
        >>> pl.Config.set_verbose(True)  # doctest: +SKIP
        >>> with pl.Config(verbose=True):  # doctest: +SKIP
        ...     do_polars_operations()
        """
        if active is None:
            os.environ.pop("POLARS_VERBOSE", None)
        else:
            os.environ["POLARS_VERBOSE"] = str(int(active))
        plr.config_reload_env_var("POLARS_VERBOSE")
        return cls

    @classmethod
    def warn_unstable(cls, active: bool | None = True) -> type[Config]:
        """
        Issue a warning when unstable functionality is used.

        Enabling this setting may help avoid functionality that is still evolving,
        potentially reducing maintenance burden from API changes and bugs.

        Examples
        --------
        >>> pl.Config.warn_unstable(True)  # doctest: +SKIP
        >>> pl.col("a").qcut(5)  # doctest: +SKIP
        UnstableWarning: `qcut` is considered unstable. It may be changed at any point without it being considered a breaking change.
        """  # noqa: W505
        if active is None:
            os.environ.pop("POLARS_WARN_UNSTABLE", None)
        else:
            os.environ["POLARS_WARN_UNSTABLE"] = str(int(active))
        plr.config_reload_env_var("POLARS_WARN_UNSTABLE")
        return cls

    @classmethod
    def set_expr_depth_warning(cls, limit: int) -> type[Config]:
        """
        Set the expression depth that Polars will accept without triggering a warning.

        Having too deep expressions (several 1000s) can lead to overflowing the stack and might be worth a refactor.
        """  # noqa: W505
        if limit < 0:
            msg = "limit should be positive"
            raise ValueError(msg)

        os.environ["POLARS_MAX_EXPR_DEPTH"] = str(limit)
        plr.config_reload_env_var("POLARS_MAX_EXPR_DEPTH")
        return cls

    @classmethod
    def set_engine_affinity(cls, engine: EngineType | None = None) -> type[Config]:
        """
        Set which engine to use by default.

        Parameters
        ----------
        engine : {None, 'auto', 'in-memory', 'streaming', 'gpu'}
            The default execution engine Polars will attempt to use
            when calling `.collect()`. However, the query is not
            guaranteed to execute with the specified engine.

        Examples
        --------
        >>> pl.Config.set_engine_affinity("streaming")  # doctest: +SKIP
        >>> lf = pl.LazyFrame({"v": [1, 2, 3], "v2": [4, 5, 6]})  # doctest: +SKIP
        >>> lf.max().collect()  # doctest: +SKIP
        shape: (3, 2)
        ┌─────┬─────┐
        │ v   ┆ v2  │
        │ --- ┆ --- │
        │ i64 ┆ i64 │
        ╞═════╪═════╡
        │ 1   ┆ 4   │
        │ 2   ┆ 5   │
        │ 3   ┆ 6   │
        └─────┴─────┘
        >>> pl.Config.set_engine_affinity("gpu")  # doctest: +SKIP
        >>> lf.max().collect()  # doctest: +SKIP
        shape: (3, 2)
        ┌─────┬─────┐
        │ v   ┆ v2  │
        │ --- ┆ --- │
        │ i64 ┆ i64 │
        ╞═════╪═════╡
        │ 1   ┆ 4   │
        │ 2   ┆ 5   │
        │ 3   ┆ 6   │
        └─────┴─────┘

        Raises
        ------
        ValueError: if engine is not recognised.
        NotImplementedError: if engine is a GPUEngine object
        """
        if isinstance(engine, GPUEngine):
            msg = "GPU engine with non-defaults not yet supported"
            raise NotImplementedError(msg)
        supported_engines = get_args(get_args(EngineType)[0])
        if engine not in {*supported_engines, None}:
            msg = "invalid engine"
            raise ValueError(msg)
        if engine is None:
            os.environ.pop("POLARS_ENGINE_AFFINITY", None)
        else:
            os.environ["POLARS_ENGINE_AFFINITY"] = engine
        plr.config_reload_env_var("POLARS_ENGINE_AFFINITY")
        return cls

    @classmethod
    @unstable()
    def set_default_credential_provider(
        cls, credential_provider: CredentialProviderFunction | Literal["auto"] | None
    ) -> type[Config]:
        """
        Set a default credential provider.

        Sets the default credential provider to be used for functions that
        read / write to cloud storage.

        .. warning::
            This functionality is considered **unstable**. It may be changed
            at any point without it being considered a breaking change.

        Parameters
        ----------
        credential_provider
            Provide a function that can be called to provide cloud storage
            credentials. The function is expected to return a dictionary of
            credential keys along with an optional credential expiry time.

            Can also be set to None, which globally disables auto-initialization
            of credential providers, or "auto" (the default behavior).

        Examples
        --------
        >>> pl.Config.set_default_credential_provider(
        ...     pl.CredentialProviderAWS(
        ...         assume_role={"RoleArn": "...", "RoleSessionName": "..."}
        ...     )
        ... )
        <class 'polars.config.Config'>
        """
        import polars.io.cloud.credential_provider._builder

        if isinstance(credential_provider, str) and credential_provider != "auto":
            raise ValueError(credential_provider)

        polars.io.cloud.credential_provider._builder.DEFAULT_CREDENTIAL_PROVIDER = (
            credential_provider
        )

        return cls

    @classmethod
    def reload_env_vars(cls) -> None:
        """
        Update the Polars config from the set environment variables.

        Normally you need not call this, it is only necessary when updating
        undocumented (environment-variable-only) config flags from Python after
        importing Polars.
        """
        plr.config_reload_env_vars()
