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authorTerry Reedy <tjreedy@udel.edu>2010-12-03 22:29:40 +0000
committerTerry Reedy <tjreedy@udel.edu>2010-12-03 22:29:40 +0000
commitbcd8988a12d2a5ff9d67e4faf64fc7cc945d4375 (patch)
tree8888ba218cf81b38dac82284d6226a6d63ef5431 /Lib/difflib.py
parent%s -> %r correction after review by Éric Araujo (diff)
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Issue 10534 deprecate isbjunk and isbpopular methods.
Will add gone in 3.3 test later.
Diffstat (limited to 'Lib/difflib.py')
-rw-r--r--Lib/difflib.py33
1 files changed, 16 insertions, 17 deletions
diff --git a/Lib/difflib.py b/Lib/difflib.py
index e31259abf96..a1c5ec0421c 100644
--- a/Lib/difflib.py
+++ b/Lib/difflib.py
@@ -32,6 +32,7 @@ __all__ = ['get_close_matches', 'ndiff', 'restore', 'SequenceMatcher',
'Differ','IS_CHARACTER_JUNK', 'IS_LINE_JUNK', 'context_diff',
'unified_diff', 'HtmlDiff', 'Match']
+import warnings
import heapq
from collections import namedtuple as _namedtuple
@@ -182,7 +183,7 @@ class SequenceMatcher:
# we need to do to 'a' to change it into 'b'?"
# b2j
# for x in b, b2j[x] is a list of the indices (into b)
- # at which x appears; junk elements do not appear
+ # at which x appears; junk and popular elements do not appear
# fullbcount
# for x in b, fullbcount[x] == the number of times x
# appears in b; only materialized if really needed (used
@@ -204,15 +205,6 @@ class SequenceMatcher:
# subtle but helpful effects on the algorithm, which I'll
# get around to writing up someday <0.9 wink>.
# DON'T USE! Only __chain_b uses this. Use isbjunk.
- # isbjunk
- # for x in b, isbjunk(x) == isjunk(x) but much faster;
- # it's really the __contains__ method of a hidden dict.
- # DOES NOT WORK for x in a!
- # isbpopular
- # for x in b, isbpopular(x) is true iff b is reasonably long
- # (at least 200 elements) and x accounts for more than 1 + 1% of
- # its elements (when autojunk is enabled).
- # DOES NOT WORK for x in a!
# bjunk
# the items in b for which isjunk is True.
# bpopular
@@ -343,12 +335,19 @@ class SequenceMatcher:
popular.add(elt)
del b2j[elt]
- # Now for x in b, isjunk(x) == x in junk, but the latter is much faster.
- # Since the number of *unique* junk elements is probably small, the
- # memory burden of keeping this set alive is likely trivial compared to
- # the size of b2j.
- self.isbjunk = junk.__contains__
- self.isbpopular = popular.__contains__
+ def isbjunk(self, item):
+ "Deprecated; use 'item in SequenceMatcher().bjunk'."
+ warnings.warn("'SequenceMatcher().isbjunk(item)' is deprecated;\n"
+ "use 'item in SMinstance.bjunk' instead.",
+ DeprecationWarning, 2)
+ return item in self.bjunk
+
+ def isbpopular(self, item):
+ "Deprecated; use 'item in SequenceMatcher().bpopular'."
+ warnings.warn("'SequenceMatcher().isbpopular(item)' is deprecated;\n"
+ "use 'item in SMinstance.bpopular' instead.",
+ DeprecationWarning, 2)
+ return item in self.bpopular
def find_longest_match(self, alo, ahi, blo, bhi):
"""Find longest matching block in a[alo:ahi] and b[blo:bhi].
@@ -406,7 +405,7 @@ class SequenceMatcher:
# Windiff ends up at the same place as diff, but by pairing up
# the unique 'b's and then matching the first two 'a's.
- a, b, b2j, isbjunk = self.a, self.b, self.b2j, self.isbjunk
+ a, b, b2j, isbjunk = self.a, self.b, self.b2j, self.bjunk.__contains__
besti, bestj, bestsize = alo, blo, 0
# find longest junk-free match
# during an iteration of the loop, j2len[j] = length of longest