mirror of
https://github.com/p2p-ld/numpydantic.git
synced 2024-09-19 23:44:28 +00:00
139 lines
4 KiB
Python
139 lines
4 KiB
Python
"""
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Lol i know all these shoudl be made into parameterized test cases and i will do that after
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i get them to work. don't @ me bro
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"""
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import pdb
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import pytest
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from ..fixtures import patch_slotarray, slotarray_schemaview, DATA_DIR
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from numpydantic.linkml.slotarray import SlotNDArray
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from numpydantic.linkml.pydanticgen import PydanticGenerator
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# --------------------------------------------------
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# Only dimensions
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# --------------------------------------------------
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def test_exact_dimensions(slotarray_schemaview):
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cls = slotarray_schemaview.get_class("ExactDimension")
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array = cls.attributes["temp"]
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annotation = SlotNDArray.make(array)
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# hardcoding for now...
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assert annotation == 'NDArray[Shape["*, *, *"], Float]'
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def test_min_dimensions(slotarray_schemaview):
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cls = slotarray_schemaview.get_class("MinDimensions")
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array = cls.attributes["temp"]
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annotation = SlotNDArray.make(array)
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assert annotation == 'NDArray[Shape["*, *, *, ..."], Float]'
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def test_max_dimensions(slotarray_schemaview):
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cls = slotarray_schemaview.get_class("MaxDimensions")
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array = cls.attributes["temp"]
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annotation = SlotNDArray.make(array)
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assert (
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annotation
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== """Union[
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NDArray[Shape["*"], Float],
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NDArray[Shape["*, *"], Float],
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NDArray[Shape["*, *, *"], Float]
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]"""
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)
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def test_range_dimensions(slotarray_schemaview):
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cls = slotarray_schemaview.get_class("RangeDimensions")
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array = cls.attributes["temp"]
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annotation = SlotNDArray.make(array)
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assert (
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annotation
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== """Union[
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NDArray[Shape["*, *"], Float],
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NDArray[Shape["*, *, *"], Float],
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NDArray[Shape["*, *, *, *"], Float],
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NDArray[Shape["*, *, *, *, *"], Float]
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]"""
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)
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def test_exact_cardinality(slotarray_schemaview):
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cls = slotarray_schemaview.get_class("ExactCardinality")
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array = cls.attributes["temp"]
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annotation = SlotNDArray.make(array)
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assert annotation == """NDArray[Shape["3 x"], Float]"""
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def test_min_cardinality(slotarray_schemaview):
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cls = slotarray_schemaview.get_class("MinCardinality")
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array = cls.attributes["temp"]
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with pytest.raises(ValueError):
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# no way to specify ranges in nptyping ranges yet, this would go to infinity
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SlotNDArray.make(array)
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def test_max_cardinality(slotarray_schemaview):
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cls = slotarray_schemaview.get_class("MaxCardinality")
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array = cls.attributes["temp"]
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annotation = SlotNDArray.make(array)
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assert (
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annotation
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== """Union[
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NDArray[Shape["1 x"], Float],
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NDArray[Shape["2 x"], Float],
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NDArray[Shape["3 x"], Float]
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]"""
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)
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def test_range_cardinality(slotarray_schemaview):
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cls = slotarray_schemaview.get_class("RangeCardinality")
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array = cls.attributes["temp"]
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annotation = SlotNDArray.make(array)
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assert (
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annotation
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== """Union[
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NDArray[Shape["2 x"], Float],
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NDArray[Shape["3 x"], Float],
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NDArray[Shape["4 x"], Float]
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]"""
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)
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def test_exclusive_axes(slotarray_schemaview):
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cls = slotarray_schemaview.get_class("ExclusiveAxes")
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array = cls.attributes["temp"]
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annotation = SlotNDArray.make(array)
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assert (
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annotation
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== """Union[
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NDArray[Shape["* x, * y, 3 rgb"], Float],
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NDArray[Shape["* x, * y, 4 rgba"], Float]
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]"""
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)
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# def test_generate_schema(patch_slotarray):
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# schema = DATA_DIR / "slotarray.yaml"
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# generator = PydanticGenerator(schema)
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# serialized = generator.serialize()
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# pdb.set_trace()
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# def test_optional_axes(slotarray_schemaview):
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# cls = slotarray_schemaview.get_class("OptionalAxes")
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# array = cls.attributes["temp"]
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# annotation = SlotNDArray.make(array)
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# # assert annotation == ""
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#
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#
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# def test_mixed_named_unnamed_dimensions(slotarray_schemaview):
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# cls = slotarray_schemaview.get_class("MixedNamedUnnamed")
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# array = cls.attributes["temp"]
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# annotation = SlotNDArray.make(array)
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# # assert annotation == ""
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