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alkaline-ml / pandas   python

Repository URL to install this package:

Version: 1.1.1 

/ tests / test_errors.py

import pytest

from pandas.errors import AbstractMethodError

import pandas as pd  # noqa


@pytest.mark.parametrize(
    "exc",
    [
        "UnsupportedFunctionCall",
        "UnsortedIndexError",
        "OutOfBoundsDatetime",
        "ParserError",
        "PerformanceWarning",
        "DtypeWarning",
        "EmptyDataError",
        "ParserWarning",
        "MergeError",
        "OptionError",
        "NumbaUtilError",
    ],
)
def test_exception_importable(exc):
    from pandas import errors

    err = getattr(errors, exc)
    assert err is not None

    # check that we can raise on them

    msg = "^$"

    with pytest.raises(err, match=msg):
        raise err()


def test_catch_oob():
    from pandas import errors

    msg = "Out of bounds nanosecond timestamp: 1500-01-01 00:00:00"
    with pytest.raises(errors.OutOfBoundsDatetime, match=msg):
        pd.Timestamp("15000101")


class Foo:
    @classmethod
    def classmethod(cls):
        raise AbstractMethodError(cls, methodtype="classmethod")

    @property
    def property(self):
        raise AbstractMethodError(self, methodtype="property")

    def method(self):
        raise AbstractMethodError(self)


def test_AbstractMethodError_classmethod():
    xpr = "This classmethod must be defined in the concrete class Foo"
    with pytest.raises(AbstractMethodError, match=xpr):
        Foo.classmethod()

    xpr = "This property must be defined in the concrete class Foo"
    with pytest.raises(AbstractMethodError, match=xpr):
        Foo().property

    xpr = "This method must be defined in the concrete class Foo"
    with pytest.raises(AbstractMethodError, match=xpr):
        Foo().method()