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How to use test_pydantic_model method in pandera

Best Python code snippet using pandera_python

test_pydantic_model.py

Source:test_pydantic_model.py

1import numpy as np2from pyjutsu.pydantic_model import PydanticModel, NDArray3def test_pydantic_model():4    class X(PydanticModel):5        v1: int6        a1: NDArray7    x = X(8        v1=123,9        a1=np.array([1, 2, 3])10    )11    x_json = x.json()12    assert (13        x_json == '{"v1": 123, "a1": {'14                  '"ndarray_base64": "AQAAAAAAAAACAAAAAAAAAAMAAAAAAAAA",'15                  ' "array_dtype": "int64",'16                  ' "array_shape": [3]'17                  '}}'...

test_config_model.py

Source:test_config_model.py

1import unittest2from electricitymap.contrib.config.model import CONFIG_MODEL3class ConfigModelTestcase(unittest.TestCase):4    def test_pydantic_model(self):5        self.assertIn("DK-BHM->SE", CONFIG_MODEL.exchanges.keys())6        self.assertIn("US-NW-PSCO", CONFIG_MODEL.zones.keys())7        self.assertIsNotNone(8            CONFIG_MODEL.zones["US-NW-PSCO"].parsers.get_function("production")9        )10if __name__ == "__main__":...

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