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# -*- coding: utf-8 -*-
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
import numpy as np
from numpy.testing import assert_allclose
import pytest
import vispy.visuals.transforms as tr
from vispy.geometry import Rect
from vispy.testing import run_tests_if_main
NT = tr.NullTransform
ST = tr.STTransform
AT = tr.MatrixTransform
RT = tr.MatrixTransform
PT = tr.PolarTransform
LT = tr.LogTransform
CT = tr.ChainTransform
def assert_chain_types(chain, types):
assert list(map(type, chain.transforms)) == types
def assert_chain_objects(chain1, chain2):
assert chain1.transforms == chain2.transforms
def test_multiplication():
n = NT()
s = ST()
a = AT()
p = PT()
log_trans = LT()
c1 = CT([s, a, p])
assert c1
c2 = CT([s, a, s])
assert isinstance(n * n, NT)
assert isinstance(n * s, ST)
assert isinstance(s * s, ST)
assert isinstance(a * s, AT)
assert isinstance(a * a, AT)
assert isinstance(s * a, AT)
assert isinstance(n * p, PT)
assert isinstance(s * p, CT)
assert isinstance(a * p, CT)
assert isinstance(p * a, CT)
assert isinstance(p * s, CT)
assert_chain_types(p * a, [PT, AT])
assert_chain_types(p * s, [PT, ST])
assert_chain_types(s * p, [ST, PT])
assert_chain_types(s * p * a, [ST, PT, AT])
assert_chain_types(s * a * p, [AT, PT])
assert_chain_types(p * s * a, [PT, ST, AT])
assert_chain_types(s * p * s, [ST, PT, ST])
assert_chain_types(s * a * p * s * a, [AT, PT, ST, AT])
assert_chain_types(c2 * a, [ST, AT, ST, AT])
assert_chain_types(p * log_trans * s, [PT, LT, ST])
def test_transform_chain():
# Make dummy classes for easier distinguishing the transforms
class DummyTrans(tr.BaseTransform):
glsl_map = "vec4 trans(vec4 pos) {return pos;}"
glsl_imap = "vec4 trans(vec4 pos) {return pos;}"
class TransA(DummyTrans):
pass
class TransB(DummyTrans):
pass
class TransC(DummyTrans):
pass
# Create test transforms
a, b, c = TransA(), TransB(), TransC()
# Test Chain creation
assert tr.ChainTransform().transforms == []
assert tr.ChainTransform(a).transforms == [a]
assert tr.ChainTransform(a, b).transforms == [a, b]
assert tr.ChainTransform(a, b, c, a).transforms == [a, b, c, a]
# Test composition by multiplication
assert_chain_objects(a * b, tr.ChainTransform(a, b))
assert_chain_objects(a * b * c, tr.ChainTransform(a, b, c))
assert_chain_objects(a * b * c * a, tr.ChainTransform(a, b, c, a))
# Test adding/prepending to transform
chain = tr.ChainTransform()
chain.append(a)
assert chain.transforms == [a]
chain.append(b)
assert chain.transforms == [a, b]
chain.append(c)
assert chain.transforms == [a, b, c]
chain.prepend(b)
assert chain.transforms == [b, a, b, c]
chain.prepend(c)
assert chain.transforms == [c, b, a, b, c]
# Test simplifying
t1 = tr.STTransform(scale=(2, 3))
t2 = tr.STTransform(translate=(3, 4))
t3 = tr.STTransform(translate=(3, 4))
# Create multiplied versions
t123 = t1*t2*t3
t321 = t3*t2*t1
c123 = tr.ChainTransform(t1, t2, t3)
c321 = tr.ChainTransform(t3, t2, t1)
c123s = c123.simplified
c321s = c321.simplified
#
assert isinstance(t123, tr.STTransform) # or the test is useless
assert isinstance(t321, tr.STTransform) # or the test is useless
assert isinstance(c123s, tr.ChainTransform) # or the test is useless
assert isinstance(c321s, tr.ChainTransform) # or the test is useless
# Test Mapping
t1 = tr.STTransform(scale=(2, 3))
t2 = tr.STTransform(translate=(3, 4))
chain1 = tr.ChainTransform(t1, t2)
chain2 = tr.ChainTransform(t2, t1)
#
assert chain1.transforms == [t1, t2] # or the test is useless
assert chain2.transforms == [t2, t1] # or the test is useless
#
m12 = (t1*t2).map((1, 1)).tolist()
m21 = (t2*t1).map((1, 1)).tolist()
m12_ = chain1.map((1, 1)).tolist()
m21_ = chain2.map((1, 1)).tolist()
#
#print(m12, m21, m12_, m21_)
assert m12 != m21
assert m12 == m12_
assert m21 == m21_
# Test shader map
t1 = tr.STTransform(scale=(2, 3))
t2 = tr.STTransform(translate=(3, 4))
chain = tr.ChainTransform(t1, t2)
#
funcs = chain.shader_map().dependencies()
funcsi = chain.shader_imap().dependencies()
#
assert t1.shader_map() in funcs
assert t2.shader_map() in funcs
assert t1.shader_imap() in funcsi
assert t2.shader_imap() in funcsi
def test_map_rect():
r = Rect((2, 7), (13, 19))
r1 = ST(scale=(2, 2), translate=(-10, 10)).map(r)
assert r1 == Rect((-6, 24), (26, 38))
def test_st_transform():
# Check that STTransform maps exactly like MatrixTransform
pts = np.random.normal(size=(10, 4))
scale = (1, 7.5, -4e-8)
translate = (1e6, 0.2, 0)
st = tr.STTransform(scale=scale, translate=translate)
at = tr.MatrixTransform()
at.scale(scale)
at.translate(translate)
assert np.allclose(st.map(pts), at.map(pts))
assert np.allclose(st.inverse.map(pts), at.inverse.map(pts))
def test_st_mapping():
p1 = [[5., 7.], [23., 8.]]
p2 = [[-1.3, -1.4], [1.1, 1.2]]
t = tr.STTransform()
t.set_mapping(p1, p2)
assert np.allclose(t.map(p1)[:, :len(p2)], p2)
def test_affine_mapping():
t = tr.MatrixTransform()
p1 = np.array([[0, 0, 0],
[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
# test pure translation
p2 = p1 + 5.5
t.set_mapping(p1, p2)
assert np.allclose(t.map(p1)[:, :p2.shape[1]], p2)
# test pure scaling
p2 = p1 * 5.5
t.set_mapping(p1, p2)
assert np.allclose(t.map(p1)[:, :p2.shape[1]], p2)
# test scale + translate
p2 = (p1 * 5.5) + 3.5
t.set_mapping(p1, p2)
assert np.allclose(t.map(p1)[:, :p2.shape[1]], p2)
# test SRT
p2 = np.array([[10, 5, 3],
[10, 15, 3],
[30, 5, 3],
[10, 5, 3.5]])
t.set_mapping(p1, p2)
assert np.allclose(t.map(p1)[:, :p2.shape[1]], p2)
m = np.random.RandomState(0).normal(size=(4, 4))
transforms = [
NT(),
ST(scale=(1e-4, 2e5), translate=(10, -6e9)),
AT(m),
RT(m),
]
@pytest.mark.parametrize('trn', transforms)
def test_inverse(trn):
rng = np.random.RandomState(0)
N = 20
x = rng.normal(size=(N, 3))
pw = rng.normal(size=(N, 3), scale=3)
pos = x * 10 ** pw
assert_allclose(pos, trn.inverse.map(trn.map(pos))[:, :3], atol=1e-7)
# log transform only works on positive values
#abs_pos = np.abs(pos)
#tr = LT(base=(2, 4.5, 0))
#assert np.allclose(abs_pos, tr.inverse.map(tr.map(abs_pos))[:,:3])
run_tests_if_main()
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