@@ -1252,7 +1252,11 @@ def test_bad_date_parse(all_parsers, cache_dates, value):
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parser = all_parsers
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s = StringIO ((f"{ value } ,\n " ) * 50000 )
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- if parser .engine == "pyarrow" :
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+ # TODO get back to this one and understand why we need
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+ # all this logic!
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+ # ok, well, the rest all works...so...open PR, and make
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+ # sense of this?
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+ if parser .engine == "pyarrow" and not cache_dates :
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# None in input gets converted to 'None', for which
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# pandas tries to guess the datetime format, triggering
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# the warning. TODO: parse dates directly in pyarrow, see
@@ -1285,6 +1289,8 @@ def test_bad_date_parse_with_warning(all_parsers, cache_dates, value):
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# TODO: parse dates directly in pyarrow, see
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# https://github.com/pandas-dev/pandas/issues/48017
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warn = None
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+ elif cache_dates :
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+ warn = None
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else :
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warn = UserWarning
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parser .read_csv_check_warnings (
@@ -1737,9 +1743,7 @@ def test_parse_timezone(all_parsers):
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def test_invalid_parse_delimited_date (all_parsers , date_string ):
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parser = all_parsers
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expected = DataFrame ({0 : [date_string ]}, dtype = "object" )
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- result = parser .read_csv_check_warnings (
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- UserWarning ,
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- "Could not infer format" ,
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+ result = parser .read_csv (
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StringIO (date_string ),
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header = None ,
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parse_dates = [0 ],
@@ -2063,9 +2067,7 @@ def test_infer_first_column_as_index(all_parsers):
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# GH#11019
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parser = all_parsers
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data = "a,b,c\n 1970-01-01,2,3,4"
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- result = parser .read_csv_check_warnings (
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- UserWarning ,
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- "Could not infer format" ,
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+ result = parser .read_csv (
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StringIO (data ),
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parse_dates = ["a" ],
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)
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