How to use _timestamp_to_datetime64_strategy method in pandera

Best Python code snippet using pandera_python

strategies.py

Source:strategies.py Github

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...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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