Best Python code snippet using pandera_python
test_rakuten_client.py
Source: test_rakuten_client.py
...98 rak = Rakuten("TOKEN", "slug")99 results = rak.get_field_data(test_columns)100 for name, field in results.items():101 self.assertDictEqual(field, test_fields[name])102 def test_infer_schema(self):103 self.maxDiff = None104 rak = Rakuten("TOKEN", "slug")105 schema = rak.infer_schema(test_columns)106 self.assertDictEqual(107 schema,108 test_schema109 )110 def test_transform_row(self):111 rak = Rakuten("TOKEN", "slug")112 row = rak.transform_row(test_row)113 self.assertDictEqual(114 row,115 test_transformed_row116 )...
test_table_util.py
Source: test_table_util.py
...27 assert infer_type('')[1] == DataType.NULL28def test_get_only_member():29 data_types = {DataType.INT}30 assert get_only_member(data_types) == DataType.INT31def test_infer_schema(sample_table):32 df = table_to_dataframe(sample_table)33 schema = infer_schema(df)34 assert schema.has_header is True35 assert schema.data_types[0] == DataType.STRING36 assert schema.data_types[1] == DataType.INT37 assert schema.data_types[2] == DataType.DATE38def test_table_to_natural_text(sample_table):39 df = table_to_dataframe(sample_table)40 schema = infer_schema(df)41 text = table_to_natural_text(df, schema)42 print(text)43 assert text[0] == 'Today, the Sales of Melbourne is 100.'...
test_usgs.py
Source: test_usgs.py
...16 datetime.timedelta(hours=1)).isoformat()17 streams = {}18 streams["earthquakes"] = Stream("earthquakes", config)19 return config, catalog, streams20def test_infer_schema():21 config, catalog, streams = _prep_config()22 with tempfile.TemporaryDirectory() as build_dir:23 config["schema_dir"] = build_dir24 config["catalog_dir"] = build_dir25 infer_schema(config, streams)26def test_sync():27 config, catalog, streams = _prep_config()28 state = {}...
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