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How to use _timestamp_to_datetime64_strategy method in pandera

Best Python code snippet using pandera_python

strategies.py

Source:strategies.py

...608        return st.text(min_size=min_value, max_size=max_value).map(609            to_numpy_dtype(pandera_dtype).type610        )611    return strategy.filter(lambda x: min_value <= len(x) <= max_value)612def _timestamp_to_datetime64_strategy(613    strategy: SearchStrategy,614) -> SearchStrategy:615    """Convert timestamp to numpy.datetime64616    Hypothesis only supports pure numpy dtypes but numpy.datetime64() truncates617    nanoseconds if given a pandas.Timestamp. We need to pass the unix epoch via618    the pandas.Timestamp.value attribute.619    """620    return st.builds(lambda x: np.datetime64(x.value, "ns"), strategy)621def field_element_strategy(622    pandera_dtype: Union[numpy_engine.DataType, pandas_engine.DataType],623    strategy: Optional[SearchStrategy] = None,624    *,625    checks: Optional[Sequence] = None,626) -> SearchStrategy:627    """Strategy to generate elements of a column or index.628    :param pandera_dtype: :class:`pandera.dtypes.DataType` instance.629    :param strategy: an optional hypothesis strategy. If specified, the630        pandas dtype strategy will be chained onto this strategy.631    :param checks: sequence of :class:`~pandera.checks.Check` s to constrain632        the values of the data in the column/index.633    :returns: ``hypothesis`` strategy634    """635    if strategy:636        raise BaseStrategyOnlyError(637            "The series strategy is a base strategy. You cannot specify the "638            "strategy argument to chain it to a parent strategy."639        )640    checks = [] if checks is None else checks641    elements = None642    def undefined_check_strategy(elements, check):643        """Strategy for checks with undefined strategies."""644        warnings.warn(645            "Element-wise check doesn't have a defined strategy."646            "Falling back to filtering drawn values based on the check "647            "definition. This can considerably slow down data-generation."648        )649        return (650            pandas_dtype_strategy(pandera_dtype)651            if elements is None652            else elements653        ).filter(check._check_fn)654    for check in checks:655        if hasattr(check, "strategy"):656            elements = check.strategy(pandera_dtype, elements)657        elif check.element_wise:658            elements = undefined_check_strategy(elements, check)659        # NOTE: vectorized checks with undefined strategies should be handled660        # by the series/dataframe strategy.661    if elements is None:662        elements = pandas_dtype_strategy(pandera_dtype)663    # Hypothesis only supports pure numpy datetime64 (i.e. timezone naive).664    # We cast to datetime64 after applying the check strategy so that checks665    # can see timezone-aware values.666    if _is_datetime_tz(pandera_dtype):667        elements = _timestamp_to_datetime64_strategy(elements)668    return elements669def series_strategy(670    pandera_dtype: Union[numpy_engine.DataType, pandas_engine.DataType],671    strategy: Optional[SearchStrategy] = None,672    *,673    checks: Optional[Sequence] = None,674    nullable: bool = False,675    unique: bool = False,676    name: Optional[str] = None,677    size: Optional[int] = None,678):679    """Strategy to generate a pandas Series.680    :param pandera_dtype: :class:`pandera.dtypes.DataType` instance.681    :param strategy: an optional hypothesis strategy. If specified, the...

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