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How to use test_schema_property method in pandera

Best Python code snippet using pandera_python

test_config_manager.py

Source:test_config_manager.py

...92        SAMPLE_CONFIG, MockIbisClient(), MockIbisClient(), verbose=False93    )94    config = config_manager.config95    assert config == config_manager._config96def test_schema_property(module_under_test):97    """Test getting schema."""98    config_manager = module_under_test.ConfigManager(99        SAMPLE_CONFIG, MockIbisClient(), MockIbisClient(), verbose=False100    )101    target_schema = config_manager.target_schema102    assert target_schema == "bigquery-public-data.new_york_citibike"103def test_filters_property(module_under_test):104    config_manager = module_under_test.ConfigManager(105        SAMPLE_CONFIG, MockIbisClient(), MockIbisClient(), verbose=False106    )107    assert config_manager.filters == [108        {"source": "1=1", "target": "1=1", "type": "custom"}109    ]110def test_get_source_connection(module_under_test):...

test_simple.py

Source:test_simple.py

...20def validator():21    return ForisValidator(["tests/schemas/modules/simple/"])22def test_schema_load(validator):23    pass24def test_schema_property(validator):25    assert isinstance(validator.schema, dict)26def test_request(validator):27    validator.validate({"module": "simple", "kind": "request", "action": "get"})28def test_reply(validator):29    validator.validate({30        "module": "simple", "kind": "reply", "action": "get",31        "data": {"result": False}32    })33    validator.validate({34        "module": "simple", "kind": "reply", "action": "get",35        "data": {"result": True}36    })37def test_notification(validator):38    validator.validate({"module": "simple", "kind": "notification", "action": "triggered"})...

test_metadata_module.py

Source:test_metadata_module.py

...38        '4 is not one of [1, 2, 3]',39        '[1, 2, 4] is too long'40    ]41    assert sorted(issues, key=str) == expected_issues42def test_schema_property():43    from dtool_gui_tk.metadata import MetadataSchemaItem44    schema = {"type": "integer", "enum": [1, 2, 3]}45    metadata_schema_item = MetadataSchemaItem(schema)...

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