[DecomposedTransform] Document and implement always skewY == 0
Spotted by Cosimo. I convinced myself he is right, since a and b are zero in that branch.
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@ -437,8 +437,20 @@ class DecomposedTransform:
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@classmethod
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def fromTransform(self, transform):
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"""Return a DecomposedTransform() equivalent of this transformation.
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The returned solution always has skewY = 0, and angle in the (-180, 180].
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:Example:
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>>> DecomposedTransform.fromTransform(Transform(3, 0, 0, 2, 0, 0))
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DecomposedTransform(translateX=0, translateY=0, rotation=0.0, scaleX=3.0, scaleY=2.0, skewX=0.0, skewY=0.0, tCenterX=0, tCenterY=0)
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>>> DecomposedTransform.fromTransform(Transform(0, 0, 0, 1, 0, 0))
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DecomposedTransform(translateX=0, translateY=0, rotation=0.0, scaleX=0.0, scaleY=1.0, skewX=0.0, skewY=0.0, tCenterX=0, tCenterY=0)
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>>> DecomposedTransform.fromTransform(Transform(0, 0, 1, 1, 0, 0))
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DecomposedTransform(translateX=0, translateY=0, rotation=-45.0, scaleX=0.0, scaleY=1.4142135623730951, skewX=0.0, skewY=0.0, tCenterX=0, tCenterY=0)
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"""
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# Adapted from an answer on
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# https://math.stackexchange.com/questions/13150/extracting-rotation-scale-values-from-2d-transformation-matrix
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a, b, c, d, x, y = transform
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sx = math.copysign(1, a)
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@ -450,21 +462,20 @@ class DecomposedTransform:
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rotation = 0
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scaleX = scaleY = 0
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skewX = skewY = 0
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skewX = 0
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# Apply the QR-like decomposition.
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if a != 0 or b != 0:
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r = math.sqrt(a * a + b * b)
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rotation = math.acos(a / r) if b >= 0 else -math.acos(a / r)
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scaleX, scaleY = (r, delta / r)
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skewX, skewY = (math.atan((a * c + b * d) / (r * r)), 0)
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skewX = math.atan((a * c + b * d) / (r * r))
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elif c != 0 or d != 0:
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s = math.sqrt(c * c + d * d)
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rotation = math.pi / 2 - (
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math.acos(-c / s) if d >= 0 else -math.acos(c / s)
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)
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scaleX, scaleY = (delta / s, s)
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skewX, skewY = (0, math.atan((a * c + b * d) / (s * s)))
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else:
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# a = b = c = d = 0
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pass
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@ -476,7 +487,7 @@ class DecomposedTransform:
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scaleX * sx,
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scaleY,
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math.degrees(skewX) * sx,
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math.degrees(skewY),
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0.0,
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0,
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0,
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)
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