done
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from pandas.core.computation.ops import UndefinedVariableError as UndefinedVariableError
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from pandas._config.config import OptionError as OptionError
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from pandas._libs.tslibs import (
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OutOfBoundsDatetime as OutOfBoundsDatetime,
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OutOfBoundsTimedelta as OutOfBoundsTimedelta,
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)
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class IntCastingNaNError(ValueError): ...
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class NullFrequencyError(ValueError): ...
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class PerformanceWarning(Warning): ...
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class UnsupportedFunctionCall(ValueError): ...
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class UnsortedIndexError(KeyError): ...
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class ParserError(ValueError): ...
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class DtypeWarning(Warning): ...
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class EmptyDataError(ValueError): ...
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class ParserWarning(Warning): ...
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class MergeError(ValueError): ...
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class AccessorRegistrationWarning(Warning): ...
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class AbstractMethodError(NotImplementedError):
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def __init__(self, class_instance, methodtype: str = ...) -> None: ...
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class NumbaUtilError(Exception): ...
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class DuplicateLabelError(ValueError): ...
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class InvalidIndexError(Exception): ...
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class DataError(Exception): ...
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class SpecificationError(Exception): ...
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class SettingWithCopyError(ValueError): ...
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class SettingWithCopyWarning(Warning): ...
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class NumExprClobberingError(NameError): ...
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class IndexingError(Exception): ...
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class PyperclipException(RuntimeError): ...
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class PyperclipWindowsException(PyperclipException):
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def __init__(self, message) -> None: ...
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class CSSWarning(UserWarning): ...
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class PossibleDataLossError(Exception): ...
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class ClosedFileError(Exception): ...
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class IncompatibilityWarning(Warning): ...
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class AttributeConflictWarning(Warning): ...
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class DatabaseError(OSError): ...
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class PossiblePrecisionLoss(Warning): ...
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class ValueLabelTypeMismatch(Warning): ...
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class InvalidColumnName(Warning): ...
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class CategoricalConversionWarning(Warning): ...
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