Normalization-related fixes
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@ -307,9 +307,9 @@ class Arc(Shape):
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rotation %= 2 * pi
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width = self.width
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return (type(self), radii, angles, width, self.layer), \
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return (type(self), radii, angles, width/norm_value, self.layer), \
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(self.offset, scale/norm_value, rotation, self.dose), \
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lambda: Arc(radii=radii*norm_value, angles=angles, width=width, layer=self.layer)
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lambda: Arc(radii=radii*norm_value, angles=angles, width=width*norm_value, layer=self.layer)
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def get_cap_edges(self) -> numpy.ndarray:
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'''
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@ -94,16 +94,16 @@ class Shape(metaclass=ABCMeta):
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Writes the shape in a standardized notation, with offset, scale, rotation, and dose
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information separated out from the remaining values.
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:param norm_value: This value is used to normalize lengths intrinsic to teh shape;
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eg. for a circle, the returned magnitude value will be (radius / norm_value), and
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:param norm_value: This value is used to normalize lengths intrinsic to the shape;
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eg. for a circle, the returned intrinsic radius value will be (radius / norm_value), and
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the returned callable will create a Circle(radius=norm_value, ...). This is useful
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when you find it important for quantities to remain in a certain range, eg. for
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GDSII where vertex locations are stored as integers.
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:return: The returned information takes the form of a 3-element tuple,
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(intrinsic, extrinsic, constructor). These are further broken down as:
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extrinsic: ([x_offset, y_offset], scale, rotation, dose)
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intrinsic: A tuple of basic types containing all information about the instance that
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is not contained in 'extrinsic'. Usually, intrinsic[0] == type(self).
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extrinsic: ([x_offset, y_offset], scale, rotation, dose)
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constructor: A callable (no arguments) which returns an instance of type(self) with
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internal state equivalent to 'intrinsic'.
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"""
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