How to use _scale_to_exp method in pandera

Best Python code snippet using pandera_python

dtypes.py

Source:dtypes.py

...270###############################################################################271# decimal272###############################################################################273DEFAULT_PYTHON_PREC = 28274def _scale_to_exp(scale: int) -> decimal.Decimal:275    scale_fmt = format(10**-scale, f".{scale}f")276    return decimal.Decimal(scale_fmt)277@immutable(init=True)278class Decimal(_Number):279    """Semantic representation of a decimal data type."""280    exact: bool = dataclasses.field(init=False, default=True)281    continuous: bool = dataclasses.field(init=False, default=True)282    precision: int = DEFAULT_PYTHON_PREC283    """The number of significant digits that the decimal type can represent."""284    scale: int = 0  # default 0 is aligned with pyarrow and various databases.285    """The number of digits after the decimal point."""286    # pylint: disable=line-too-long287    rounding: str = dataclasses.field(288        default_factory=lambda: decimal.getcontext().rounding289    )290    """291    The `rounding mode <https://docs.python.org/3/library/decimal.html#rounding-modes>`__292    supported by the Python :py:class:`decimal.Decimal` class.293    """294    def __init__(295        self,296        precision: int = DEFAULT_PYTHON_PREC,297        scale: int = 0,298        rounding: Optional[str] = None,299    ):300        super().__init__()301        if precision <= 0:302            raise ValueError(303                f"Decimal precision {precision} must be positive."304            )305        if scale is not None and scale > precision:306            raise ValueError(307                f"Decimal scale {scale} must be between 0 and {precision}."308            )309        object.__setattr__(self, "precision", precision)310        object.__setattr__(self, "scale", scale)311        object.__setattr__(self, "rounding", rounding)312        object.__setattr__(313            self, "_exp", _scale_to_exp(scale) if scale else None314        )315        object.__setattr__(316            self,317            "_ctx",318            decimal.Context(prec=precision, rounding=self.rounding),319        )320    def __str__(self) -> str:321        return f"{self.__class__.__name__}({self.precision}, {self.scale})"322###############################################################################323# nominal324###############################################################################325@immutable(init=True)326class Category(DataType):  # type: ignore327    """Semantic representation of a categorical data type."""...

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