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https://github.com/Sei-Lisa/LSL-PyOptimizer
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Fix the obnoxious issue with globals propagation in full expressions.
Fixed by backtracking in the parser, and keeping a copy of the original expression if it's a simple_expr, which is used for output in place of the folded one. There's still the potential issue that if a global is optimized away, then it will "come back" during output and cause an error because the definition is missing.
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3 changed files with 43 additions and 10 deletions
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@ -46,6 +46,16 @@ class optimizer(object):
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return value
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return {'nt':'CAST', 't':newtype, 'ch':[value]}
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def CopyNode(self, node):
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# This is mainly for simple_expr so not a big deal.
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ret = node.copy()
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if 'ch' in ret:
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new = []
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for subnode in ret['ch']:
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new.append(self.CopyNode(subnode))
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ret['ch'] = new
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return ret
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def FoldTree(self, parent, index):
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"""Recursively traverse the tree to fold constants, changing it in
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place.
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@ -512,10 +522,14 @@ class optimizer(object):
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if nt == 'DECL':
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if child:
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# TODO: Decide if child is a simple_expr.
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# If it is, then we should keep the original
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# attached to the folded node and use it in the output.
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self.FoldTree(child, 0)
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# Check if child is a simple_expr. If it is, then we keep the
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# original attached to the folded node and use it in the output.
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if child[0].pop('Simple', False):
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orig = self.CopyNode(child[0])
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self.FoldTree(child, 0)
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child[0]['orig'] = orig
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else:
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self.FoldTree(child, 0)
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# Remove assignment if integer zero.
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if node['t'] == 'integer' and child[0]['nt'] == 'CONST' \
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and not child[0]['value']:
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@ -569,7 +583,7 @@ class optimizer(object):
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self.FoldTree(tree, idx)
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self.globalmode = False
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if not self.IsValidGlobalConstant(tree[idx]):
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warning('WARNING: Expression does not collapse to a single constant.')
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warning('WARNING: Expression does not resolve to a single constant.')
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else:
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self.FoldTree(tree, idx)
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