Delete swarm_client.

swarm_client/third_party/requests/packages/charade/sbcharsetprober.py

Index: swarm_client/third_party/requests/packages/charade/sbcharsetprober.py
===================================================================
--- swarm_client/third_party/requests/packages/charade/sbcharsetprober.py	(revision 235167)
+++ swarm_client/third_party/requests/packages/charade/sbcharsetprober.py	(working copy)
@@ -1,120 +0,0 @@
-######################## BEGIN LICENSE BLOCK ########################
-# The Original Code is Mozilla Universal charset detector code.
-#
-# The Initial Developer of the Original Code is
-# Netscape Communications Corporation.
-# Portions created by the Initial Developer are Copyright (C) 2001
-# the Initial Developer. All Rights Reserved.
-#
-# Contributor(s):
-#   Mark Pilgrim - port to Python
-#   Shy Shalom - original C code
-#
-# This library is free software; you can redistribute it and/or
-# modify it under the terms of the GNU Lesser General Public
-# License as published by the Free Software Foundation; either
-# version 2.1 of the License, or (at your option) any later version.
-#
-# This library is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
-# Lesser General Public License for more details.
-#
-# You should have received a copy of the GNU Lesser General Public
-# License along with this library; if not, write to the Free Software
-# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
-# 02110-1301  USA
-######################### END LICENSE BLOCK #########################
-
-import sys
-from . import constants
-from .charsetprober import CharSetProber
-from .compat import wrap_ord
-
-SAMPLE_SIZE = 64
-SB_ENOUGH_REL_THRESHOLD = 1024
-POSITIVE_SHORTCUT_THRESHOLD = 0.95
-NEGATIVE_SHORTCUT_THRESHOLD = 0.05
-SYMBOL_CAT_ORDER = 250
-NUMBER_OF_SEQ_CAT = 4
-POSITIVE_CAT = NUMBER_OF_SEQ_CAT - 1
-#NEGATIVE_CAT = 0
-
-
-class SingleByteCharSetProber(CharSetProber):
-    def __init__(self, model, reversed=False, nameProber=None):
-        CharSetProber.__init__(self)
-        self._mModel = model
-        # TRUE if we need to reverse every pair in the model lookup
-        self._mReversed = reversed
-        # Optional auxiliary prober for name decision
-        self._mNameProber = nameProber
-        self.reset()
-
-    def reset(self):
-        CharSetProber.reset(self)
-        # char order of last character
-        self._mLastOrder = 255
-        self._mSeqCounters = [0] * NUMBER_OF_SEQ_CAT
-        self._mTotalSeqs = 0
-        self._mTotalChar = 0
-        # characters that fall in our sampling range
-        self._mFreqChar = 0
-
-    def get_charset_name(self):
-        if self._mNameProber:
-            return self._mNameProber.get_charset_name()
-        else:
-            return self._mModel['charsetName']
-
-    def feed(self, aBuf):
-        if not self._mModel['keepEnglishLetter']:
-            aBuf = self.filter_without_english_letters(aBuf)
-        aLen = len(aBuf)
-        if not aLen:
-            return self.get_state()
-        for c in aBuf:
-            order = self._mModel['charToOrderMap'][wrap_ord(c)]
-            if order < SYMBOL_CAT_ORDER:
-                self._mTotalChar += 1
-            if order < SAMPLE_SIZE:
-                self._mFreqChar += 1
-                if self._mLastOrder < SAMPLE_SIZE:
-                    self._mTotalSeqs += 1
-                    if not self._mReversed:
-                        i = (self._mLastOrder * SAMPLE_SIZE) + order
-                        model = self._mModel['precedenceMatrix'][i]
-                    else:  # reverse the order of the letters in the lookup
-                        i = (order * SAMPLE_SIZE) + self._mLastOrder
-                        model = self._mModel['precedenceMatrix'][i]
-                    self._mSeqCounters[model] += 1
-            self._mLastOrder = order
-
-        if self.get_state() == constants.eDetecting:
-            if self._mTotalSeqs > SB_ENOUGH_REL_THRESHOLD:
-                cf = self.get_confidence()
-                if cf > POSITIVE_SHORTCUT_THRESHOLD:
-                    if constants._debug:
-                        sys.stderr.write('%s confidence = %s, we have a'
-                                         'winner\n' %
-                                         (self._mModel['charsetName'], cf))
-                    self._mState = constants.eFoundIt
-                elif cf < NEGATIVE_SHORTCUT_THRESHOLD:
-                    if constants._debug:
-                        sys.stderr.write('%s confidence = %s, below negative'
-                                         'shortcut threshhold %s\n' %
-                                         (self._mModel['charsetName'], cf,
-                                          NEGATIVE_SHORTCUT_THRESHOLD))
-                    self._mState = constants.eNotMe
-
-        return self.get_state()
-
-    def get_confidence(self):
-        r = 0.01
-        if self._mTotalSeqs > 0:
-            r = ((1.0 * self._mSeqCounters[POSITIVE_CAT]) / self._mTotalSeqs
-                 / self._mModel['mTypicalPositiveRatio'])
-            r = r * self._mFreqChar / self._mTotalChar
-            if r >= 1.0:
-                r = 0.99
-        return r