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144
venv/lib/python3.12/site-packages/pandas/tests/test_errors.py
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144
venv/lib/python3.12/site-packages/pandas/tests/test_errors.py
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import warnings
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import pytest
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from pandas.errors import (
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AbstractMethodError,
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Pandas4Warning,
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Pandas5Warning,
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PandasChangeWarning,
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PandasDeprecationWarning,
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PandasPendingDeprecationWarning,
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UndefinedVariableError,
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)
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import pandas as pd
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import pandas._testing as tm
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@pytest.mark.parametrize(
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"exc",
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[
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"AttributeConflictWarning",
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"CSSWarning",
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"CategoricalConversionWarning",
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"ClosedFileError",
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"DataError",
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"DatabaseError",
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"DtypeWarning",
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"EmptyDataError",
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"IncompatibilityWarning",
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"IndexingError",
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"InvalidColumnName",
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"InvalidComparison",
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"InvalidVersion",
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"LossySetitemError",
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"MergeError",
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"NoBufferPresent",
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"NumExprClobberingError",
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"NumbaUtilError",
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"OptionError",
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"OutOfBoundsDatetime",
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"ParserError",
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"ParserWarning",
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"PerformanceWarning",
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"PossibleDataLossError",
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"PossiblePrecisionLoss",
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"PyperclipException",
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"SpecificationError",
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"UnsortedIndexError",
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"UnsupportedFunctionCall",
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"ValueLabelTypeMismatch",
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],
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)
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def test_exception_importable(exc):
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from pandas import errors
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err = getattr(errors, exc)
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assert err is not None
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# check that we can raise on them
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msg = "^$"
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with pytest.raises(err, match=msg):
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raise err()
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def test_catch_oob():
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from pandas import errors
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msg = "Cannot cast 1500-01-01 00:00:00 to unit='ns' without overflow"
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with pytest.raises(errors.OutOfBoundsDatetime, match=msg):
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pd.Timestamp("15000101").as_unit("ns")
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@pytest.mark.parametrize("is_local", [True, False])
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def test_catch_undefined_variable_error(is_local):
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variable_name = "x"
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if is_local:
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msg = f"local variable '{variable_name}' is not defined"
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else:
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msg = f"name '{variable_name}' is not defined"
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with pytest.raises(UndefinedVariableError, match=msg):
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raise UndefinedVariableError(variable_name, is_local)
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class Foo:
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@classmethod
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def classmethod(cls):
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raise AbstractMethodError(cls, methodtype="classmethod")
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@property
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def property(self):
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raise AbstractMethodError(self, methodtype="property")
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def method(self):
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raise AbstractMethodError(self)
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def test_AbstractMethodError_classmethod():
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xpr = "This classmethod must be defined in the concrete class Foo"
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with pytest.raises(AbstractMethodError, match=xpr):
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Foo.classmethod()
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xpr = "This property must be defined in the concrete class Foo"
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with pytest.raises(AbstractMethodError, match=xpr):
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Foo().property
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xpr = "This method must be defined in the concrete class Foo"
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with pytest.raises(AbstractMethodError, match=xpr):
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Foo().method()
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@pytest.mark.parametrize(
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"warn_category, catch_category",
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[
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(Pandas4Warning, PandasChangeWarning),
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(Pandas4Warning, PandasDeprecationWarning),
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(Pandas5Warning, PandasChangeWarning),
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(Pandas5Warning, PandasPendingDeprecationWarning),
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],
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)
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def test_pandas_warnings(warn_category, catch_category):
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# https://github.com/pandas-dev/pandas/pull/61468
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with tm.assert_produces_warning(catch_category):
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warnings.warn("test", category=warn_category)
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@pytest.mark.parametrize(
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"warn_category, filter_category",
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[
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(Pandas4Warning, PandasChangeWarning),
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(Pandas4Warning, PandasDeprecationWarning),
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(Pandas5Warning, PandasChangeWarning),
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(Pandas5Warning, PandasPendingDeprecationWarning),
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],
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)
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def test_pandas_warnings_filter(warn_category, filter_category):
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# https://github.com/pandas-dev/pandas/pull/61468
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# Ensure users can suppress warnings.
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with tm.assert_produces_warning(None), warnings.catch_warnings():
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warnings.filterwarnings(category=filter_category, action="ignore")
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warnings.warn("test", category=warn_category)
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