mirror of
https://github.com/p2p-ld/numpydantic.git
synced 2024-11-14 18:54:28 +00:00
80 lines
2.2 KiB
Python
80 lines
2.2 KiB
Python
import pytest
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from typing import Callable, Tuple, Type
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import numpy as np
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import dask.array as da
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import zarr
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from pydantic import BaseModel
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from numpydantic import interface, NDArray
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@pytest.fixture(
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scope="function",
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params=[
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pytest.param(
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([[1, 2], [3, 4]], interface.NumpyInterface),
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marks=pytest.mark.numpy,
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id="numpy-list",
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),
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pytest.param(
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(np.zeros((3, 4)), interface.NumpyInterface),
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marks=pytest.mark.numpy,
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id="numpy",
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),
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pytest.param(
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("hdf5_array", interface.H5Interface),
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marks=pytest.mark.hdf5,
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id="h5-array-path",
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),
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pytest.param(
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(da.random.random((10, 10)), interface.DaskInterface),
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marks=pytest.mark.dask,
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id="dask",
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),
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pytest.param(
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(zarr.ones((10, 10)), interface.ZarrInterface),
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marks=pytest.mark.zarr,
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id="zarr-memory",
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),
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pytest.param(
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("zarr_nested_array", interface.ZarrInterface),
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marks=pytest.mark.zarr,
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id="zarr-nested",
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),
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pytest.param(
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("zarr_array", interface.ZarrInterface),
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marks=pytest.mark.zarr,
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id="zarr-array",
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),
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pytest.param(
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("avi_video", interface.VideoInterface), marks=pytest.mark.video, id="video"
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),
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],
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)
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def interface_type(request) -> Tuple[NDArray, Type[interface.Interface]]:
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"""
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Test cases for each interface's ``check`` method - each input should match the
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provided interface and that interface only
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"""
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if isinstance(request.param[0], str):
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return (request.getfixturevalue(request.param[0]), request.param[1])
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else:
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return request.param
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@pytest.fixture()
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def all_interfaces(interface_type) -> BaseModel:
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"""
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An instantiated version of each interface within a basemodel,
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with the array in an `array` field
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"""
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array, interface = interface_type
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if isinstance(array, Callable):
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array = array()
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class MyModel(BaseModel):
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array: NDArray
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instance = MyModel(array=array)
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return instance
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