[go: nahoru, domu]

Skip to content

Commit

Permalink
Improve upgrade script to handle list comprehensions as arguments. (t…
Browse files Browse the repository at this point in the history
…ensorflow#7229)

python's ast module does not return the correct location, so we
have to do our best to scan backwards to find where the [ token
that trully started the list comprehension occurs.
  • Loading branch information
aselle authored and rmlarsen committed Feb 3, 2017
1 parent ee770d9 commit 114a462
Show file tree
Hide file tree
Showing 2 changed files with 106 additions and 10 deletions.
103 changes: 93 additions & 10 deletions tensorflow/tools/compatibility/tf_upgrade.py
Original file line number Diff line number Diff line change
Expand Up @@ -347,6 +347,62 @@ def _get_attribute_full_path(self, node):
items.append(curr.id)
return ".".join(reversed(items))

def _find_true_position(self, node):
"""Return correct line number and column offset for a given node.
This is necessary mainly because ListComp's location reporting reports
the next token after the list comprehension list opening.
Args:
node: Node for which we wish to know the lineno and col_offset
"""
import re
find_open = re.compile("^\s*(\\[).*$")
find_string_chars = re.compile("['\"]")

if isinstance(node, ast.ListComp):
# Strangely, ast.ListComp returns the col_offset of the first token
# after the '[' token which appears to be a bug. Workaround by
# explicitly finding the real start of the list comprehension.
line = node.lineno
col = node.col_offset
# loop over lines
while 1:
# Reverse the text to and regular expression search for whitespace
text = self._lines[line-1]
reversed_preceding_text = text[:col][::-1]
# First find if a [ can be found with only whitespace between it and
# col.
m = find_open.match(reversed_preceding_text)
if m:
new_col_offset = col - m.start(1) - 1
return line, new_col_offset
else:
if (reversed_preceding_text=="" or
reversed_preceding_text.isspace()):
line = line - 1
prev_line = self._lines[line - 1]
# TODO(aselle):
# this is poor comment detection, but it is good enough for
# cases where the comment does not contain string literal starting/
# ending characters. If ast gave us start and end locations of the
# ast nodes rather than just start, we could use string literal
# node ranges to filter out spurious #'s that appear in string
# literals.
comment_start = prev_line.find("#")
if comment_start == -1:
col = len(prev_line) -1
elif find_string_chars.search(prev_line[comment_start:]) is None:
col = comment_start
else:
return None, None
else:
return None, None
# Most other nodes return proper locations (with notably does not), but
# it is not possible to use that in an argument.
return node.lineno, node.col_offset


def visit_Call(self, node): # pylint: disable=invalid-name
"""Handle visiting a call node in the AST.
Expand Down Expand Up @@ -376,26 +432,53 @@ def visit_Call(self, node): # pylint: disable=invalid-name
if full_name in function_reorders:
reordered = function_reorders[full_name]
for idx, arg in enumerate(node.args):
keyword_arg = reordered[idx]
if (full_name in function_keyword_renames and
keyword_arg in function_keyword_renames[full_name]):
keyword_arg = function_keyword_renames[full_name][keyword_arg]
self._file_edit.add("Added keyword %r to reordered function %r"
% (reordered[idx], full_name), arg.lineno,
arg.col_offset, "", keyword_arg + "=")
lineno, col_offset = self._find_true_position(arg)
if lineno is None or col_offset is None:
self._file_edit.add(
"Failed to add keyword %r to reordered function %r"
% (reordered[idx], full_name), arg.lineno, arg.col_offset,
"", "",
error="A necessary keyword argument failed to be inserted.")
else:
keyword_arg = reordered[idx]
if (full_name in function_keyword_renames and
keyword_arg in function_keyword_renames[full_name]):
keyword_arg = function_keyword_renames[full_name][keyword_arg]
self._file_edit.add("Added keyword %r to reordered function %r"
% (reordered[idx], full_name), lineno,
col_offset, "", keyword_arg + "=")

# Examine each keyword argument and convert it to the final renamed form
renamed_keywords = ({} if full_name not in function_keyword_renames else
function_keyword_renames[full_name])
for keyword in node.keywords:
argkey = keyword.arg
argval = keyword.value

if argkey in renamed_keywords:
self._file_edit.add("Renamed keyword argument from %r to %r" %
argval_lineno, argval_col_offset = self._find_true_position(argval)
if (argval_lineno is not None and argval_col_offset is not None):
# TODO(aselle): We should scan backward to find the start of the
# keyword key. Unfortunately ast does not give you the location of
# keyword keys, so we are forced to infer it from the keyword arg
# value.
key_start = argval_col_offset - len(argkey) - 1
key_end = key_start + len(argkey) + 1
if self._lines[argval_lineno - 1][key_start:key_end] == argkey + "=":
self._file_edit.add("Renamed keyword argument from %r to %r" %
(argkey, renamed_keywords[argkey]),
argval.lineno,
argval.col_offset - len(argkey) - 1,
argval_lineno,
argval_col_offset - len(argkey) - 1,
argkey + "=", renamed_keywords[argkey] + "=")
continue
self._file_edit.add(
"Failed to rename keyword argument from %r to %r" %
(argkey, renamed_keywords[argkey]),
argval.lineno,
argval.col_offset - len(argkey) - 1,
"", "",
error="Failed to find keyword lexographically. Fix manually.")

ast.NodeVisitor.generic_visit(self, node)

def visit_Attribute(self, node): # pylint: disable=invalid-name
Expand Down
13 changes: 13 additions & 0 deletions tensorflow/tools/compatibility/tf_upgrade_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -113,6 +113,19 @@ def testReverse(self):
self.assertEqual(new_text, new_text)
self.assertEqual(errors, ["test.py:1: tf.reverse requires manual check."])

def testListComprehension(self):
def _test(input, output):
_, unused_report, errors, new_text = self._upgrade(input)
self.assertEqual(new_text, output)
_test("tf.concat(0, \t[x for x in y])\n",
"tf.concat(axis=0, \tvalues=[x for x in y])\n")
_test("tf.concat(0,[x for x in y])\n",
"tf.concat(axis=0,values=[x for x in y])\n")
_test("tf.concat(0,[\nx for x in y])\n",
"tf.concat(axis=0,values=[\nx for x in y])\n")
_test("tf.concat(0,[\n \tx for x in y])\n",
"tf.concat(axis=0,values=[\n \tx for x in y])\n")

# TODO(aselle): Explicitly not testing command line interface and process_tree
# for now, since this is a one off utility.

Expand Down

0 comments on commit 114a462

Please sign in to comment.