lib-python.2.7.lib2to3.fixes.fix_xrange.py Maven / Gradle / Ivy
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Jython is an implementation of the high-level, dynamic, object-oriented
language Python written in 100% Pure Java, and seamlessly integrated with
the Java platform. It thus allows you to run Python on any Java platform.
# Copyright 2007 Google, Inc. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement.
"""Fixer that changes xrange(...) into range(...)."""
# Local imports
from .. import fixer_base
from ..fixer_util import Name, Call, consuming_calls
from .. import patcomp
class FixXrange(fixer_base.BaseFix):
BM_compatible = True
PATTERN = """
power<
(name='range'|name='xrange') trailer< '(' args=any ')' >
rest=any* >
"""
def start_tree(self, tree, filename):
super(FixXrange, self).start_tree(tree, filename)
self.transformed_xranges = set()
def finish_tree(self, tree, filename):
self.transformed_xranges = None
def transform(self, node, results):
name = results["name"]
if name.value == u"xrange":
return self.transform_xrange(node, results)
elif name.value == u"range":
return self.transform_range(node, results)
else:
raise ValueError(repr(name))
def transform_xrange(self, node, results):
name = results["name"]
name.replace(Name(u"range", prefix=name.prefix))
# This prevents the new range call from being wrapped in a list later.
self.transformed_xranges.add(id(node))
def transform_range(self, node, results):
if (id(node) not in self.transformed_xranges and
not self.in_special_context(node)):
range_call = Call(Name(u"range"), [results["args"].clone()])
# Encase the range call in list().
list_call = Call(Name(u"list"), [range_call],
prefix=node.prefix)
# Put things that were after the range() call after the list call.
for n in results["rest"]:
list_call.append_child(n)
return list_call
P1 = "power< func=NAME trailer< '(' node=any ')' > any* >"
p1 = patcomp.compile_pattern(P1)
P2 = """for_stmt< 'for' any 'in' node=any ':' any* >
| comp_for< 'for' any 'in' node=any any* >
| comparison< any 'in' node=any any*>
"""
p2 = patcomp.compile_pattern(P2)
def in_special_context(self, node):
if node.parent is None:
return False
results = {}
if (node.parent.parent is not None and
self.p1.match(node.parent.parent, results) and
results["node"] is node):
# list(d.keys()) -> list(d.keys()), etc.
return results["func"].value in consuming_calls
# for ... in d.iterkeys() -> for ... in d.keys(), etc.
return self.p2.match(node.parent, results) and results["node"] is node