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annotate env/lib/python3.7/site-packages/jinja2/optimizer.py @ 3:758bc20232e8 draft

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"planemo upload commit 2a0fe2cc28b09e101d37293e53e82f61762262ec"
author shellac
date Thu, 14 May 2020 16:20:52 -0400
parents 26e78fe6e8c4
children
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1 # -*- coding: utf-8 -*-
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2 """The optimizer tries to constant fold expressions and modify the AST
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3 in place so that it should be faster to evaluate.
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4
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5 Because the AST does not contain all the scoping information and the
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6 compiler has to find that out, we cannot do all the optimizations we
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7 want. For example, loop unrolling doesn't work because unrolled loops
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8 would have a different scope. The solution would be a second syntax tree
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9 that stored the scoping rules.
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10 """
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11 from . import nodes
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12 from .visitor import NodeTransformer
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13
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14
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15 def optimize(node, environment):
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16 """The context hint can be used to perform an static optimization
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17 based on the context given."""
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18 optimizer = Optimizer(environment)
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19 return optimizer.visit(node)
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20
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21
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22 class Optimizer(NodeTransformer):
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23 def __init__(self, environment):
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24 self.environment = environment
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25
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26 def generic_visit(self, node, *args, **kwargs):
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27 node = super(Optimizer, self).generic_visit(node, *args, **kwargs)
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28
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29 # Do constant folding. Some other nodes besides Expr have
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30 # as_const, but folding them causes errors later on.
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31 if isinstance(node, nodes.Expr):
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32 try:
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33 return nodes.Const.from_untrusted(
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34 node.as_const(args[0] if args else None),
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35 lineno=node.lineno,
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36 environment=self.environment,
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37 )
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38 except nodes.Impossible:
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39 pass
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40
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41 return node