BREAKING change shape identifers generated when flattening
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@ -546,35 +546,31 @@ class Pattern(LockableImpl, AnnotatableImpl, Mirrorable, metaclass=AutoSlots):
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"""
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Removes all subpatterns and adds equivalent shapes.
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Shape identifiers are changed to represent their original position in the
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Shape/label identifiers are changed to represent their original position in the
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pattern hierarchy:
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`(L1_name (str), L1_index (int), L2_name, L2_index, ..., *original_shape_identifier)`
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where
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`L1_name` is the first-level subpattern's name (e.g. `self.subpatterns[0].pattern.name`),
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`L2_name` is the next-level subpattern's name (e.g.
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`self.subpatterns[0].pattern.subpatterns[0].pattern.name`) and
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`L1_index` is an integer used to differentiate between multiple instance ofi the same
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(or same-named) subpatterns.
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`(L1_sp_index (int), L2_sp_index (int), ..., sh_index (int), *original_shape_identifier)`
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where the original shape can be accessed as e.g.
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`self.subpatterns[L1_sp_index].pattern.subpatterns[L2_sp_index].shapes[L1_sh_index]`
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Returns:
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self
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"""
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subpatterns = copy.deepcopy(self.subpatterns)
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self.subpatterns = []
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shape_counts: Dict[Tuple, int] = {}
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for subpat in subpatterns:
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# Update identifiers so each shape has a unique one
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for ss, shape in enumerate(self.shapes):
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shape.identifier = (ss,) + shape.identifier
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for ll, label in enumerate(self.labels):
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label.identifier = (ll,) + label.identifier
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for pp, subpat in enumerate(subpatterns):
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if subpat.pattern is None:
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continue
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subpat.pattern.flatten()
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p = subpat.as_pattern()
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# Update identifiers so each shape has a unique one
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for shape in p.shapes:
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combined_identifier = (subpat.pattern.name,) + shape.identifier
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shape_count = shape_counts.get(combined_identifier, 0)
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shape.identifier = (subpat.pattern.name, shape_count) + shape.identifier
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shape_counts[combined_identifier] = shape_count + 1
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for item in chain(p.shapes, p.labels):
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item.identifier += (pp,) + item.identifier
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self.append(p)
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return self
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