mirror of
https://github.com/p2p-ld/numpydantic.git
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62 lines
1.6 KiB
Python
62 lines
1.6 KiB
Python
import pytest
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import json
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import dask.array as da
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from pydantic import BaseModel, ValidationError
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from numpydantic.interface import DaskInterface
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from numpydantic.exceptions import DtypeError, ShapeError
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from numpydantic.testing.helpers import ValidationCase
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pytestmark = pytest.mark.dask
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def dask_array(case: ValidationCase) -> da.Array:
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if issubclass(case.dtype, BaseModel):
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return da.full(shape=case.shape, fill_value=case.dtype(x=1), chunks=-1)
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else:
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return da.zeros(shape=case.shape, dtype=case.dtype, chunks=10)
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def _test_dask_case(case: ValidationCase):
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array = dask_array(case)
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if case.passes:
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case.model(array=array)
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else:
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with pytest.raises((ValidationError, DtypeError, ShapeError)):
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case.model(array=array)
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def test_dask_enabled():
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"""
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We need dask to be available to run these tests :)
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"""
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assert DaskInterface.enabled()
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def test_dask_check(interface_type):
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if interface_type[1] is DaskInterface:
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assert DaskInterface.check(interface_type[0])
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else:
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assert not DaskInterface.check(interface_type[0])
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@pytest.mark.shape
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def test_dask_shape(shape_cases):
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_test_dask_case(shape_cases)
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@pytest.mark.dtype
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def test_dask_dtype(dtype_cases):
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_test_dask_case(dtype_cases)
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@pytest.mark.serialization
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def test_dask_to_json(array_model):
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array_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
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array = da.array(array_list)
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model = array_model((3, 3), int)
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instance = model(array=array)
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jsonified = json.loads(instance.model_dump_json())
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assert jsonified["array"] == array_list
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