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 Github

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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 '}}'...

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test_config_model.py

Source:test_config_model.py Github

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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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