Merge pull request #63 from brenda-br/Fix-35HEADmaster

Restructure Project and Deployment

1 files changed, 0 insertions, 292 deletions

diff --git a/venv/Lib/site-packages/pip-19.0.3-py3.7.egg/pip/_vendor/chardet/hebrewprober.py b/venv/Lib/site-packages/pip-19.0.3-py3.7.egg/pip/_vendor/chardet/hebrewprober.py
deleted file mode 100644
index b0e1bf4..0000000
--- a/venv/Lib/site-packages/pip-19.0.3-py3.7.egg/pip/_vendor/chardet/hebrewprober.py
+++ /dev/null
@@ -1,292 +0,0 @@
-######################## BEGIN LICENSE BLOCK ########################
-# The Original Code is Mozilla Universal charset detector code.
-#
-# The Initial Developer of the Original Code is
-#          Shy Shalom
-# Portions created by the Initial Developer are Copyright (C) 2005
-# the Initial Developer. All Rights Reserved.
-#
-# Contributor(s):
-#   Mark Pilgrim - port to Python
-#
-# 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 #########################
-
-from .charsetprober import CharSetProber
-from .enums import ProbingState
-
-# This prober doesn't actually recognize a language or a charset.
-# It is a helper prober for the use of the Hebrew model probers
-
-### General ideas of the Hebrew charset recognition ###
-#
-# Four main charsets exist in Hebrew:
-# "ISO-8859-8" - Visual Hebrew
-# "windows-1255" - Logical Hebrew
-# "ISO-8859-8-I" - Logical Hebrew
-# "x-mac-hebrew" - ?? Logical Hebrew ??
-#
-# Both "ISO" charsets use a completely identical set of code points, whereas
-# "windows-1255" and "x-mac-hebrew" are two different proper supersets of
-# these code points. windows-1255 defines additional characters in the range
-# 0x80-0x9F as some misc punctuation marks as well as some Hebrew-specific
-# diacritics and additional 'Yiddish' ligature letters in the range 0xc0-0xd6.
-# x-mac-hebrew defines similar additional code points but with a different
-# mapping.
-#
-# As far as an average Hebrew text with no diacritics is concerned, all four
-# charsets are identical with respect to code points. Meaning that for the
-# main Hebrew alphabet, all four map the same values to all 27 Hebrew letters
-# (including final letters).
-#
-# The dominant difference between these charsets is their directionality.
-# "Visual" directionality means that the text is ordered as if the renderer is
-# not aware of a BIDI rendering algorithm. The renderer sees the text and
-# draws it from left to right. The text itself when ordered naturally is read
-# backwards. A buffer of Visual Hebrew generally looks like so:
-# "[last word of first line spelled backwards] [whole line ordered backwards
-# and spelled backwards] [first word of first line spelled backwards]
-# [end of line] [last word of second line] ... etc' "
-# adding punctuation marks, numbers and English text to visual text is
-# naturally also "visual" and from left to right.
-#
-# "Logical" directionality means the text is ordered "naturally" according to
-# the order it is read. It is the responsibility of the renderer to display
-# the text from right to left. A BIDI algorithm is used to place general
-# punctuation marks, numbers and English text in the text.
-#
-# Texts in x-mac-hebrew are almost impossible to find on the Internet. From
-# what little evidence I could find, it seems that its general directionality
-# is Logical.
-#
-# To sum up all of the above, the Hebrew probing mechanism knows about two
-# charsets:
-# Visual Hebrew - "ISO-8859-8" - backwards text - Words and sentences are
-#    backwards while line order is natural. For charset recognition purposes
-#    the line order is unimportant (In fact, for this implementation, even
-#    word order is unimportant).
-# Logical Hebrew - "windows-1255" - normal, naturally ordered text.
-#
-# "ISO-8859-8-I" is a subset of windows-1255 and doesn't need to be
-#    specifically identified.
-# "x-mac-hebrew" is also identified as windows-1255. A text in x-mac-hebrew
-#    that contain special punctuation marks or diacritics is displayed with
-#    some unconverted characters showing as question marks. This problem might
-#    be corrected using another model prober for x-mac-hebrew. Due to the fact
-#    that x-mac-hebrew texts are so rare, writing another model prober isn't
-#    worth the effort and performance hit.
-#
-#### The Prober ####
-#
-# The prober is divided between two SBCharSetProbers and a HebrewProber,
-# all of which are managed, created, fed data, inquired and deleted by the
-# SBCSGroupProber. The two SBCharSetProbers identify that the text is in
-# fact some kind of Hebrew, Logical or Visual. The final decision about which
-# one is it is made by the HebrewProber by combining final-letter scores
-# with the scores of the two SBCharSetProbers to produce a final answer.
-#
-# The SBCSGroupProber is responsible for stripping the original text of HTML
-# tags, English characters, numbers, low-ASCII punctuation characters, spaces
-# and new lines. It reduces any sequence of such characters to a single space.
-# The buffer fed to each prober in the SBCS group prober is pure text in
-# high-ASCII.
-# The two SBCharSetProbers (model probers) share the same language model:
-# Win1255Model.
-# The first SBCharSetProber uses the model normally as any other
-# SBCharSetProber does, to recognize windows-1255, upon which this model was
-# built. The second SBCharSetProber is told to make the pair-of-letter
-# lookup in the language model backwards. This in practice exactly simulates
-# a visual Hebrew model using the windows-1255 logical Hebrew model.
-#
-# The HebrewProber is not using any language model. All it does is look for
-# final-letter evidence suggesting the text is either logical Hebrew or visual
-# Hebrew. Disjointed from the model probers, the results of the HebrewProber
-# alone are meaningless. HebrewProber always returns 0.00 as confidence
-# since it never identifies a charset by itself. Instead, the pointer to the
-# HebrewProber is passed to the model probers as a helper "Name Prober".
-# When the Group prober receives a positive identification from any prober,
-# it asks for the name of the charset identified. If the prober queried is a
-# Hebrew model prober, the model prober forwards the call to the
-# HebrewProber to make the final decision. In the HebrewProber, the
-# decision is made according to the final-letters scores maintained and Both
-# model probers scores. The answer is returned in the form of the name of the
-# charset identified, either "windows-1255" or "ISO-8859-8".
-
-class HebrewProber(CharSetProber):
-    # windows-1255 / ISO-8859-8 code points of interest
-    FINAL_KAF = 0xea
-    NORMAL_KAF = 0xeb
-    FINAL_MEM = 0xed
-    NORMAL_MEM = 0xee
-    FINAL_NUN = 0xef
-    NORMAL_NUN = 0xf0
-    FINAL_PE = 0xf3
-    NORMAL_PE = 0xf4
-    FINAL_TSADI = 0xf5
-    NORMAL_TSADI = 0xf6
-
-    # Minimum Visual vs Logical final letter score difference.
-    # If the difference is below this, don't rely solely on the final letter score
-    # distance.
-    MIN_FINAL_CHAR_DISTANCE = 5
-
-    # Minimum Visual vs Logical model score difference.
-    # If the difference is below this, don't rely at all on the model score
-    # distance.
-    MIN_MODEL_DISTANCE = 0.01
-
-    VISUAL_HEBREW_NAME = "ISO-8859-8"
-    LOGICAL_HEBREW_NAME = "windows-1255"
-
-    def __init__(self):
-        super(HebrewProber, self).__init__()
-        self._final_char_logical_score = None
-        self._final_char_visual_score = None
-        self._prev = None
-        self._before_prev = None
-        self._logical_prober = None
-        self._visual_prober = None
-        self.reset()
-
-    def reset(self):
-        self._final_char_logical_score = 0
-        self._final_char_visual_score = 0
-        # The two last characters seen in the previous buffer,
-        # mPrev and mBeforePrev are initialized to space in order to simulate
-        # a word delimiter at the beginning of the data
-        self._prev = ' '
-        self._before_prev = ' '
-        # These probers are owned by the group prober.
-
-    def set_model_probers(self, logicalProber, visualProber):
-        self._logical_prober = logicalProber
-        self._visual_prober = visualProber
-
-    def is_final(self, c):
-        return c in [self.FINAL_KAF, self.FINAL_MEM, self.FINAL_NUN,
-                     self.FINAL_PE, self.FINAL_TSADI]
-
-    def is_non_final(self, c):
-        # The normal Tsadi is not a good Non-Final letter due to words like
-        # 'lechotet' (to chat) containing an apostrophe after the tsadi. This
-        # apostrophe is converted to a space in FilterWithoutEnglishLetters
-        # causing the Non-Final tsadi to appear at an end of a word even
-        # though this is not the case in the original text.
-        # The letters Pe and Kaf rarely display a related behavior of not being
-        # a good Non-Final letter. Words like 'Pop', 'Winamp' and 'Mubarak'
-        # for example legally end with a Non-Final Pe or Kaf. However, the
-        # benefit of these letters as Non-Final letters outweighs the damage
-        # since these words are quite rare.
-        return c in [self.NORMAL_KAF, self.NORMAL_MEM,
-                     self.NORMAL_NUN, self.NORMAL_PE]
-
-    def feed(self, byte_str):
-        # Final letter analysis for logical-visual decision.
-        # Look for evidence that the received buffer is either logical Hebrew
-        # or visual Hebrew.
-        # The following cases are checked:
-        # 1) A word longer than 1 letter, ending with a final letter. This is
-        #    an indication that the text is laid out "naturally" since the
-        #    final letter really appears at the end. +1 for logical score.
-        # 2) A word longer than 1 letter, ending with a Non-Final letter. In
-        #    normal Hebrew, words ending with Kaf, Mem, Nun, Pe or Tsadi,
-        #    should not end with the Non-Final form of that letter. Exceptions
-        #    to this rule are mentioned above in isNonFinal(). This is an
-        #    indication that the text is laid out backwards. +1 for visual
-        #    score
-        # 3) A word longer than 1 letter, starting with a final letter. Final
-        #    letters should not appear at the beginning of a word. This is an
-        #    indication that the text is laid out backwards. +1 for visual
-        #    score.
-        #
-        # The visual score and logical score are accumulated throughout the
-        # text and are finally checked against each other in GetCharSetName().
-        # No checking for final letters in the middle of words is done since
-        # that case is not an indication for either Logical or Visual text.
-        #
-        # We automatically filter out all 7-bit characters (replace them with
-        # spaces) so the word boundary detection works properly. [MAP]
-
-        if self.state == ProbingState.NOT_ME:
-            # Both model probers say it's not them. No reason to continue.
-            return ProbingState.NOT_ME
-
-        byte_str = self.filter_high_byte_only(byte_str)
-
-        for cur in byte_str:
-            if cur == ' ':
-                # We stand on a space - a word just ended
-                if self._before_prev != ' ':
-                    # next-to-last char was not a space so self._prev is not a
-                    # 1 letter word
-                    if self.is_final(self._prev):
-                        # case (1) [-2:not space][-1:final letter][cur:space]
-                        self._final_char_logical_score += 1
-                    elif self.is_non_final(self._prev):
-                        # case (2) [-2:not space][-1:Non-Final letter][
-                        #  cur:space]
-                        self._final_char_visual_score += 1
-            else:
-                # Not standing on a space
-                if ((self._before_prev == ' ') and
-                        (self.is_final(self._prev)) and (cur != ' ')):
-                    # case (3) [-2:space][-1:final letter][cur:not space]
-                    self._final_char_visual_score += 1
-            self._before_prev = self._prev
-            self._prev = cur
-
-        # Forever detecting, till the end or until both model probers return
-        # ProbingState.NOT_ME (handled above)
-        return ProbingState.DETECTING
-
-    @property
-    def charset_name(self):
-        # Make the decision: is it Logical or Visual?
-        # If the final letter score distance is dominant enough, rely on it.
-        finalsub = self._final_char_logical_score - self._final_char_visual_score
-        if finalsub >= self.MIN_FINAL_CHAR_DISTANCE:
-            return self.LOGICAL_HEBREW_NAME
-        if finalsub <= -self.MIN_FINAL_CHAR_DISTANCE:
-            return self.VISUAL_HEBREW_NAME
-
-        # It's not dominant enough, try to rely on the model scores instead.
-        modelsub = (self._logical_prober.get_confidence()
-                    - self._visual_prober.get_confidence())
-        if modelsub > self.MIN_MODEL_DISTANCE:
-            return self.LOGICAL_HEBREW_NAME
-        if modelsub < -self.MIN_MODEL_DISTANCE:
-            return self.VISUAL_HEBREW_NAME
-
-        # Still no good, back to final letter distance, maybe it'll save the
-        # day.
-        if finalsub < 0.0:
-            return self.VISUAL_HEBREW_NAME
-
-        # (finalsub > 0 - Logical) or (don't know what to do) default to
-        # Logical.
-        return self.LOGICAL_HEBREW_NAME
-
-    @property
-    def language(self):
-        return 'Hebrew'
-
-    @property
-    def state(self):
-        # Remain active as long as any of the model probers are active.
-        if (self._logical_prober.state == ProbingState.NOT_ME) and \
-           (self._visual_prober.state == ProbingState.NOT_ME):
-            return ProbingState.NOT_ME
-        return ProbingState.DETECTING