Best Python code snippet using pandera_python
test_model.py
Source:test_model.py  
...211            return series < 100212    df = pd.DataFrame({2020: [99]})213    assert len(Schema.to_schema().columns[2020].checks) == 2214    assert isinstance(Schema.validate(df, lazy=True), pd.DataFrame)215def test_check_single_column() -> None:216    """Test the behaviour of a check on a single column."""217    class Schema(pa.SchemaModel):218        a: Series[int]219        @pa.check("a")220        def int_column_lt_100(cls, series: pd.Series) -> Iterable[bool]:221            # pylint:disable=no-self-argument222            assert cls is Schema223            return series < 100224    df = pd.DataFrame({"a": [101]})225    schema = Schema.to_schema()226    err_msg = r"Column\s*a\s*int_column_lt_100\s*\[101\]\s*1"227    with pytest.raises(pa.errors.SchemaErrors, match=err_msg):228        schema.validate(df, lazy=True)229def test_check_single_index() -> None:...test_0074_single_column.py
Source:test_0074_single_column.py  
2from unittest import TestCase3from indexdigest.linters import check_single_column4from indexdigest.test import DatabaseTestMixin5class TestSingleColumn(TestCase, DatabaseTestMixin):6    def test_check_single_column(self):7        reports = list(check_single_column(self.connection))8        print(list(map(str, reports)))9        self.assertEqual(len(reports), 1)10        self.assertEqual(str(reports[0]),11                         '0074_bag_of_ints: "0074_bag_of_ints" has just a single column')12        self.assertTrue('CREATE TABLE `0074_bag_of_ints` (' in reports[0].context['schema'])...Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.
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