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Showing content from https://github.com/ydataai/ydata-profiling/commit/5bbd589ecd5d34e2d4792b1909bbf76a6f920f34 below:

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 @@ -122,7 +122,7 @@ def get_relations() -> Sequence[TypeRelation]:

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 @series_handle_nulls

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 def contains_op(series: pd.Series, state: dict) -> bool:

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 return (

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 not pdt.is_categorical_dtype(series)

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 not isinstance(series.dtype, pd.CategoricalDtype)

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 and pdt.is_string_dtype(series)

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 and series_is_string(series, state)

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 @@ -205,9 +205,9 @@ def get_relations() -> Sequence[TypeRelation]:

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 @series_not_empty

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 @series_handle_nulls

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 def contains_op(series: pd.Series, state: dict) -> bool:

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 is_valid_dtype = pdt.is_categorical_dtype(series) and not pdt.is_bool_dtype(

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 series

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 )

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 is_valid_dtype = isinstance(

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 series.dtype, pd.CategoricalDtype

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 ) and not pdt.is_bool_dtype(series)

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 if is_valid_dtype:

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 return True

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 return False

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 @@ -31,7 +31,7 @@ def string_is_bool(series: pd.Series, state: dict, k: Dict[str, bool]) -> bool:

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 def tester(s: pd.Series, state: dict) -> bool:

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 return s.str.lower().isin(k.keys()).all()

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 if pdt.is_categorical_dtype(series):

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 if isinstance(series.dtype, pd.CategoricalDtype):

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 return False

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 return tester(series, state)

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