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tests/integrations/pandera
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- import sys
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-
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import dask .dataframe as dd
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import numpy as np
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import pandas as pd
@@ -102,7 +100,6 @@ def test_basic_pandera_decorator_series_passes():
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assert validation_result .passes
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- @pytest .mark .skipif (sys .version_info < (3 , 8 ), reason = "requires python3.9 or higher" )
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def test_pandera_decorator_creates_correct_validator ():
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class OutputSchema (pa .DataFrameModel ):
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year : pa .typing .pandas .Series [int ] = pa .Field (gt = 2000 , coerce = True )
@@ -136,7 +133,6 @@ def foo(should_break: bool = False) -> pa.typing.pandas.DataFrame[OutputSchema]:
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assert not result_failed .passes
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- @pytest .mark .skipif (sys .version_info < (3 , 8 ), reason = "requires python3.9 or higher" )
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def test_pandera_decorator_fails_without_annotation ():
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def foo () -> pd .DataFrame :
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return pd .DataFrame (
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