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try:
import unittest2 as unittest
except:
import unittest
import numpy as np
from pyrr import vector4
class test_vector4(unittest.TestCase):
def test_import(self):
import pyrr
pyrr.vector4
from pyrr import vector4
def test_create(self):
result = vector4.create()
np.testing.assert_almost_equal(result, [0.,0.,0.,0.], decimal=5)
self.assertTrue(result.dtype == np.float64)
def test_create_values(self):
result = vector4.create(1.,2.,3.,4., dtype=np.float32)
np.testing.assert_almost_equal(result, [1.,2.,3.,4.], decimal=5)
self.assertTrue(result.dtype == np.float32)
def test_create_list(self):
with self.assertRaises(ValueError):
vector4.create([1., 2., 3., 4.])
def test_create_unit_length_x(self):
result = vector4.create_unit_length_x()
np.testing.assert_almost_equal(result, [1.,0.,0.,0.], decimal=5)
self.assertTrue(result.dtype == np.float64)
def test_create_unit_length_x_dtype(self):
result = vector4.create_unit_length_x(dtype=np.float32)
np.testing.assert_almost_equal(result, [1.,0.,0.,0.], decimal=5)
self.assertTrue(result.dtype == np.float32)
def test_create_unit_length_y(self):
result = vector4.create_unit_length_y()
np.testing.assert_almost_equal(result, [0.,1.,0.,0.], decimal=5)
self.assertTrue(result.dtype == np.float64)
def test_create_unit_length_y_dtype(self):
result = vector4.create_unit_length_y(dtype=np.float32)
np.testing.assert_almost_equal(result, [0.,1.,0.,0.], decimal=5)
self.assertTrue(result.dtype == np.float32)
def test_create_unit_length_z(self):
result = vector4.create_unit_length_z()
np.testing.assert_almost_equal(result, [0.,0.,1.,0.], decimal=5)
self.assertTrue(result.dtype == np.float64)
def test_create_unit_length_z_dtype(self):
result = vector4.create_unit_length_z(dtype=np.float32)
np.testing.assert_almost_equal(result, [0.,0.,1.,0.], decimal=5)
self.assertTrue(result.dtype == np.float32)
def test_create_unit_length_w(self):
result = vector4.create_unit_length_w()
np.testing.assert_almost_equal(result, [0.,0.,0.,1.], decimal=5)
self.assertTrue(result.dtype == np.float64)
def test_create_unit_length_w_dtype(self):
result = vector4.create_unit_length_w(dtype=np.float32)
np.testing.assert_almost_equal(result, [0.,0.,0.,1.], decimal=5)
self.assertTrue(result.dtype == np.float32)
def test_create_from_matrix44_translation(self):
mat = np.array([
[1.,2.,3.,4.,],
[5.,6.,7.,8.,],
[9.,10.,11.,12.,],
[13.,14.,15.,16.,],
])
result = vector4.create_from_matrix44_translation(mat)
np.testing.assert_almost_equal(result, [13.,14.,15.,16.], decimal=5)
self.assertTrue(result.dtype == np.float64)
def test_create_from_matrix44_translation_dtype_matches(self):
mat = np.array([
[1.,2.,3.,4.,],
[5.,6.,7.,8.,],
[9.,10.,11.,12.,],
[13.,14.,15.,16.,],
], dtype=np.float32)
result = vector4.create_from_matrix44_translation(mat)
np.testing.assert_almost_equal(result, [13.,14.,15.,16.], decimal=5)
self.assertTrue(result.dtype == np.float32)
def test_normalize_single_vector(self):
result = vector4.normalize([1.,1.,1.,1.])
np.testing.assert_almost_equal(result, [0.5, 0.5, 0.5, 0.5], decimal=5)
def test_normalize_batch(self):
result = vector4.normalize([
[1.,1.,1.,1.],
[-1.,-1.,-1.,1.],
[0.,2.,7.,1.],
])
expected = [
[0.5, 0.5, 0.5, 0.5],
[-0.5,-0.5,-0.5, 0.5],
[0., 0.27216553, 0.95257934, 0.13608276],
]
np.testing.assert_almost_equal(result, expected, decimal=5)
def test_squared_length_single_vector(self):
result = vector4.squared_length([1.,1.,1.,1.])
np.testing.assert_almost_equal(result, 4., decimal=5)
def test_squared_length_batch(self):
result = vector4.squared_length([
[1.,1.,1.,1.],
[-1.,-1.,-1.,1.],
[0.,2.,7.,1.],
])
expected = [
4.,
4.,
54.,
]
np.testing.assert_almost_equal(result, expected, decimal=5)
def test_length(self):
result = vector4.length([1.,1.,1.,1.])
np.testing.assert_almost_equal(result, 2., decimal=5)
def test_length_batch(self):
result = vector4.length([
[1.,1.,1.,1.],
[-1.,-1.,-1.,1.],
[0.,2.,7.,1.],
])
expected = [
2.,
2.,
7.34846923,
]
np.testing.assert_almost_equal(result, expected, decimal=5)
def test_set_length(self):
result = vector4.set_length([1.,1.,1.,1.],3.)
expected = [1.5,1.5,1.5,1.5]
np.testing.assert_almost_equal(result, expected, decimal=5)
def test_set_length_batch_vector(self):
result = vector4.set_length([
[1.,1.,1.,1.],
[-1.,-1.,-1.,1.],
[0.,2.,7.,1.],
], 2.0)
expected = [
[1.,1.,1.,1.],
[-1.,-1.,-1.,1.],
[0., 0.54433105, 1.90515869, 0.27216553],
]
np.testing.assert_almost_equal(result, expected, decimal=5)
def test_dot_adjacent(self):
result = vector4.dot([1.,0.,0.,1.], [0.,1.,0.,1.])
np.testing.assert_almost_equal(result, 1.0, decimal=5)
def test_dot_parallel(self):
result = vector4.dot([0.,1.,0.,1.], [0.,1.,0.,1.])
np.testing.assert_almost_equal(result, 2.0, decimal=5)
def test_dot_angle(self):
result = vector4.dot([.2,.2,0.,1.], [2.,-.2,0.,1.])
np.testing.assert_almost_equal(result, 1.359999, decimal=5)
def test_dot_batch(self):
result = vector4.dot([
[1.,0.,0.,1.],
[0.,1.,0.,1.],
[.2,.2,0.,1.]
],[
[0.,1.,0.,1.],
[0.,1.,0.,1.],
[2.,-.2,0.,1.]
])
expected = [
1.,
2.,
1.36
]
np.testing.assert_almost_equal(result, expected, decimal=5)
if __name__ == '__main__':
unittest.main()
|
