diff options
Diffstat (limited to 'pip/_vendor/requests/packages/charade/sbcharsetprober.py')
| -rw-r--r-- | pip/_vendor/requests/packages/charade/sbcharsetprober.py | 120 |
1 files changed, 0 insertions, 120 deletions
diff --git a/pip/_vendor/requests/packages/charade/sbcharsetprober.py b/pip/_vendor/requests/packages/charade/sbcharsetprober.py deleted file mode 100644 index 37291bd27..000000000 --- a/pip/_vendor/requests/packages/charade/sbcharsetprober.py +++ /dev/null @@ -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 |