274 lines
8.5 KiB
Python
274 lines
8.5 KiB
Python
# SPDX-FileCopyrightText: 2020-2023 Blender Authors
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#
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# SPDX-License-Identifier: Apache-2.0
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# ./blender.bin --background -noaudio --python tests/python/bl_pyapi_prop_array.py -- --verbose
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import bpy
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from bpy.props import (
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BoolVectorProperty,
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FloatVectorProperty,
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IntVectorProperty,
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)
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import unittest
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import numpy as np
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id_inst = bpy.context.scene
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id_type = bpy.types.Scene
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# -----------------------------------------------------------------------------
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# Utility Functions
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def seq_items_xform(data, xform_fn):
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"""
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Recursively expand items using `xform_fn`.
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"""
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if hasattr(data, "__len__"):
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return tuple(seq_items_xform(v, xform_fn) for v in data)
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return xform_fn(data)
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def seq_items_as_tuple(data):
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"""
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Return nested sequences as a nested tuple.
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Useful when comparing different kinds of nested sequences.
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"""
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return seq_items_xform(data, lambda v: v)
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def seq_items_as_dims(data):
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"""
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Nested length calculation, extracting the length from each sequence.
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Where a 4x4 matrix returns ``(4, 4)`` for example.
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"""
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return ((len(data),) + seq_items_as_dims(data[0])) if hasattr(data, "__len__") else ()
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# -----------------------------------------------------------------------------
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# Tests
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class TestPropArray(unittest.TestCase):
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def setUp(self):
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id_type.test_array_f = FloatVectorProperty(size=10)
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id_type.test_array_i = IntVectorProperty(size=10)
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scene = bpy.context.scene
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self.array_f = scene.test_array_f
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self.array_i = scene.test_array_i
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def tearDown(self):
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del id_type.test_array_f
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del id_type.test_array_i
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def test_foreach_getset_i(self):
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with self.assertRaises(TypeError):
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self.array_i.foreach_set(range(5))
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self.array_i.foreach_set(range(5, 15))
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with self.assertRaises(TypeError):
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self.array_i.foreach_set(np.arange(5, dtype=np.int32))
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with self.assertRaises(TypeError):
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self.array_i.foreach_set(np.arange(10, dtype=np.int64))
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with self.assertRaises(TypeError):
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self.array_i.foreach_get(np.arange(10, dtype=np.float32))
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a = np.arange(10, dtype=np.int32)
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self.array_i.foreach_set(a)
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with self.assertRaises(TypeError):
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self.array_i.foreach_set(a[:5])
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for v1, v2 in zip(a, self.array_i[:]):
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self.assertEqual(v1, v2)
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b = np.empty(10, dtype=np.int32)
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self.array_i.foreach_get(b)
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for v1, v2 in zip(a, b):
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self.assertEqual(v1, v2)
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b = [None] * 10
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self.array_f.foreach_get(b)
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for v1, v2 in zip(a, b):
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self.assertEqual(v1, v2)
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def test_foreach_getset_f(self):
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with self.assertRaises(TypeError):
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self.array_i.foreach_set(range(5))
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self.array_f.foreach_set(range(5, 15))
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with self.assertRaises(TypeError):
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self.array_f.foreach_set(np.arange(5, dtype=np.float32))
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with self.assertRaises(TypeError):
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self.array_f.foreach_set(np.arange(10, dtype=np.int32))
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with self.assertRaises(TypeError):
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self.array_f.foreach_get(np.arange(10, dtype=np.float64))
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a = np.arange(10, dtype=np.float32)
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self.array_f.foreach_set(a)
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for v1, v2 in zip(a, self.array_f[:]):
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self.assertEqual(v1, v2)
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b = np.empty(10, dtype=np.float32)
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self.array_f.foreach_get(b)
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for v1, v2 in zip(a, b):
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self.assertEqual(v1, v2)
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b = [None] * 10
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self.array_f.foreach_get(b)
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for v1, v2 in zip(a, b):
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self.assertEqual(v1, v2)
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class TestPropArrayMultiDimensional(unittest.TestCase):
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def setUp(self):
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self._initial_dir = set(dir(id_type))
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def tearDown(self):
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for member in (set(dir(id_type)) - self._initial_dir):
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delattr(id_type, member)
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def test_defaults(self):
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# The data is in int format, converted into float & bool to avoid duplication.
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default_data = (
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# 1D.
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(1,),
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(1, 2),
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(1, 2, 3),
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(1, 2, 3, 4),
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# 2D.
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((1,),),
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((1,), (11,)),
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((1, 2), (11, 22)),
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((1, 2, 3), (11, 22, 33)),
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((1, 2, 3, 4), (11, 22, 33, 44)),
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# 3D.
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(((1,),),),
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((1,), (11,), (111,)),
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((1, 2), (11, 22), (111, 222),),
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((1, 2, 3), (11, 22, 33), (111, 222, 333)),
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((1, 2, 3, 4), (11, 22, 33, 44), (111, 222, 333, 444)),
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)
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for data in default_data:
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for (vector_prop_fn, xform_fn) in (
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(BoolVectorProperty, lambda v: bool(v % 2)),
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(FloatVectorProperty, lambda v: float(v)),
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(IntVectorProperty, lambda v: v),
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):
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data_native = seq_items_xform(data, xform_fn)
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size = seq_items_as_dims(data)
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id_type.temp = vector_prop_fn(size=size, default=data_native)
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data_as_tuple = seq_items_as_tuple(id_inst.temp)
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self.assertEqual(data_as_tuple, data_native)
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del id_type.temp
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def test_matrix(self):
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data = ((1, 2, 3, 4), (11, 22, 33, 44), (111, 222, 333, 444), (1111, 2222, 3333, 4444),)
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data_native = seq_items_xform(data, lambda v: float(v))
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id_type.temp = FloatVectorProperty(size=(4, 4), subtype='MATRIX', default=data_native)
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data_as_tuple = seq_items_as_tuple(id_inst.temp)
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self.assertEqual(data_as_tuple, data_native)
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del id_type.temp
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def test_matrix_with_callbacks(self):
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# """
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# Internally matrices have rows/columns swapped,
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# This test ensures this is being done properly.
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# """
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data = ((1, 2, 3, 4), (11, 22, 33, 44), (111, 222, 333, 444), (1111, 2222, 3333, 4444),)
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data_native = seq_items_xform(data, lambda v: float(v))
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local_data = {"array": data}
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def get_fn(id_arg):
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return local_data["array"]
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def set_fn(id_arg, value):
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local_data["array"] = value
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id_type.temp = FloatVectorProperty(size=(4, 4), subtype='MATRIX', get=get_fn, set=set_fn)
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id_inst.temp = data_native
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data_as_tuple = seq_items_as_tuple(id_inst.temp)
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self.assertEqual(data_as_tuple, data_native)
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del id_type.temp
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class TestPropArrayDynamicAssign(unittest.TestCase):
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"""
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Pixels are dynamic in the sense the size can change however the assignment does not define the size.
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"""
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dims = 12
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def setUp(self):
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self.image = bpy.data.images.new("", self.dims, self.dims)
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def tearDown(self):
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bpy.data.images.remove(self.image)
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self.image = None
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def test_assign_fixed_under_1px(self):
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image = self.image
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with self.assertRaises(ValueError):
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image.pixels = [1.0, 1.0, 1.0, 1.0]
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def test_assign_fixed_under_0px(self):
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image = self.image
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with self.assertRaises(ValueError):
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image.pixels = []
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def test_assign_fixed_over_by_1px(self):
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image = self.image
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with self.assertRaises(ValueError):
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image.pixels = ([1.0, 1.0, 1.0, 1.0] * (self.dims * self.dims)) + [1.0]
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def test_assign_fixed(self):
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# Valid assignment, ensure it works as intended.
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image = self.image
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values = [1.0, 0.0, 1.0, 0.0] * (self.dims * self.dims)
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image.pixels = values
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self.assertEqual(tuple(values), tuple(image.pixels))
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class TestPropArrayDynamicArg(unittest.TestCase):
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"""
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Index array, a dynamic array argument which defines its own length.
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"""
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dims = 8
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def setUp(self):
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self.me = bpy.data.meshes.new("")
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self.me.vertices.add(self.dims)
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self.ob = bpy.data.objects.new("", self.me)
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def tearDown(self):
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bpy.data.objects.remove(self.ob)
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bpy.data.meshes.remove(self.me)
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self.me = None
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self.ob = None
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def test_param_dynamic(self):
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ob = self.ob
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vg = ob.vertex_groups.new(name="")
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# Add none.
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vg.add(index=(), weight=1.0, type='REPLACE')
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for i in range(self.dims):
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with self.assertRaises(RuntimeError):
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vg.weight(i)
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# Add all.
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vg.add(index=range(self.dims), weight=1.0, type='REPLACE')
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self.assertEqual(tuple([1.0] * self.dims), tuple([vg.weight(i) for i in range(self.dims)]))
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if __name__ == '__main__':
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import sys
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sys.argv = [__file__] + (sys.argv[sys.argv.index("--") + 1:] if "--" in sys.argv else [])
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unittest.main()
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