peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/pandas
/tests
/test_errors.py
import pytest | |
from pandas.errors import ( | |
AbstractMethodError, | |
UndefinedVariableError, | |
) | |
import pandas as pd | |
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 = "Cannot cast 1500-01-01 00:00:00 to unit='ns' without overflow" | |
with pytest.raises(errors.OutOfBoundsDatetime, match=msg): | |
pd.Timestamp("15000101").as_unit("ns") | |
def test_catch_undefined_variable_error(is_local): | |
variable_name = "x" | |
if is_local: | |
msg = f"local variable '{variable_name}' is not defined" | |
else: | |
msg = f"name '{variable_name}' is not defined" | |
with pytest.raises(UndefinedVariableError, match=msg): | |
raise UndefinedVariableError(variable_name, is_local) | |
class Foo: | |
def classmethod(cls): | |
raise AbstractMethodError(cls, methodtype="classmethod") | |
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() | |