--- a/env/lib/python3.7/site-packages/chardet/chardistribution.py	Thu May 14 16:47:39 2020 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,233 +0,0 @@
-######################## BEGIN LICENSE BLOCK ########################
-# The Original Code is Mozilla Communicator client code.
-#
-# The Initial Developer of the Original Code is
-# Netscape Communications Corporation.
-# Portions created by the Initial Developer are Copyright (C) 1998
-# 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 .euctwfreq import (EUCTW_CHAR_TO_FREQ_ORDER, EUCTW_TABLE_SIZE,
-                        EUCTW_TYPICAL_DISTRIBUTION_RATIO)
-from .euckrfreq import (EUCKR_CHAR_TO_FREQ_ORDER, EUCKR_TABLE_SIZE,
-                        EUCKR_TYPICAL_DISTRIBUTION_RATIO)
-from .gb2312freq import (GB2312_CHAR_TO_FREQ_ORDER, GB2312_TABLE_SIZE,
-                         GB2312_TYPICAL_DISTRIBUTION_RATIO)
-from .big5freq import (BIG5_CHAR_TO_FREQ_ORDER, BIG5_TABLE_SIZE,
-                       BIG5_TYPICAL_DISTRIBUTION_RATIO)
-from .jisfreq import (JIS_CHAR_TO_FREQ_ORDER, JIS_TABLE_SIZE,
-                      JIS_TYPICAL_DISTRIBUTION_RATIO)
-
-
-class CharDistributionAnalysis(object):
-    ENOUGH_DATA_THRESHOLD = 1024
-    SURE_YES = 0.99
-    SURE_NO = 0.01
-    MINIMUM_DATA_THRESHOLD = 3
-
-    def __init__(self):
-        # Mapping table to get frequency order from char order (get from
-        # GetOrder())
-        self._char_to_freq_order = None
-        self._table_size = None  # Size of above table
-        # This is a constant value which varies from language to language,
-        # used in calculating confidence.  See
-        # http://www.mozilla.org/projects/intl/UniversalCharsetDetection.html
-        # for further detail.
-        self.typical_distribution_ratio = None
-        self._done = None
-        self._total_chars = None
-        self._freq_chars = None
-        self.reset()
-
-    def reset(self):
-        """reset analyser, clear any state"""
-        # If this flag is set to True, detection is done and conclusion has
-        # been made
-        self._done = False
-        self._total_chars = 0  # Total characters encountered
-        # The number of characters whose frequency order is less than 512
-        self._freq_chars = 0
-
-    def feed(self, char, char_len):
-        """feed a character with known length"""
-        if char_len == 2:
-            # we only care about 2-bytes character in our distribution analysis
-            order = self.get_order(char)
-        else:
-            order = -1
-        if order >= 0:
-            self._total_chars += 1
-            # order is valid
-            if order < self._table_size:
-                if 512 > self._char_to_freq_order[order]:
-                    self._freq_chars += 1
-
-    def get_confidence(self):
-        """return confidence based on existing data"""
-        # if we didn't receive any character in our consideration range,
-        # return negative answer
-        if self._total_chars <= 0 or self._freq_chars <= self.MINIMUM_DATA_THRESHOLD:
-            return self.SURE_NO
-
-        if self._total_chars != self._freq_chars:
-            r = (self._freq_chars / ((self._total_chars - self._freq_chars)
-                 * self.typical_distribution_ratio))
-            if r < self.SURE_YES:
-                return r
-
-        # normalize confidence (we don't want to be 100% sure)
-        return self.SURE_YES
-
-    def got_enough_data(self):
-        # It is not necessary to receive all data to draw conclusion.
-        # For charset detection, certain amount of data is enough
-        return self._total_chars > self.ENOUGH_DATA_THRESHOLD
-
-    def get_order(self, byte_str):
-        # We do not handle characters based on the original encoding string,
-        # but convert this encoding string to a number, here called order.
-        # This allows multiple encodings of a language to share one frequency
-        # table.
-        return -1
-
-
-class EUCTWDistributionAnalysis(CharDistributionAnalysis):
-    def __init__(self):
-        super(EUCTWDistributionAnalysis, self).__init__()
-        self._char_to_freq_order = EUCTW_CHAR_TO_FREQ_ORDER
-        self._table_size = EUCTW_TABLE_SIZE
-        self.typical_distribution_ratio = EUCTW_TYPICAL_DISTRIBUTION_RATIO
-
-    def get_order(self, byte_str):
-        # for euc-TW encoding, we are interested
-        #   first  byte range: 0xc4 -- 0xfe
-        #   second byte range: 0xa1 -- 0xfe
-        # no validation needed here. State machine has done that
-        first_char = byte_str[0]
-        if first_char >= 0xC4:
-            return 94 * (first_char - 0xC4) + byte_str[1] - 0xA1
-        else:
-            return -1
-
-
-class EUCKRDistributionAnalysis(CharDistributionAnalysis):
-    def __init__(self):
-        super(EUCKRDistributionAnalysis, self).__init__()
-        self._char_to_freq_order = EUCKR_CHAR_TO_FREQ_ORDER
-        self._table_size = EUCKR_TABLE_SIZE
-        self.typical_distribution_ratio = EUCKR_TYPICAL_DISTRIBUTION_RATIO
-
-    def get_order(self, byte_str):
-        # for euc-KR encoding, we are interested
-        #   first  byte range: 0xb0 -- 0xfe
-        #   second byte range: 0xa1 -- 0xfe
-        # no validation needed here. State machine has done that
-        first_char = byte_str[0]
-        if first_char >= 0xB0:
-            return 94 * (first_char - 0xB0) + byte_str[1] - 0xA1
-        else:
-            return -1
-
-
-class GB2312DistributionAnalysis(CharDistributionAnalysis):
-    def __init__(self):
-        super(GB2312DistributionAnalysis, self).__init__()
-        self._char_to_freq_order = GB2312_CHAR_TO_FREQ_ORDER
-        self._table_size = GB2312_TABLE_SIZE
-        self.typical_distribution_ratio = GB2312_TYPICAL_DISTRIBUTION_RATIO
-
-    def get_order(self, byte_str):
-        # for GB2312 encoding, we are interested
-        #  first  byte range: 0xb0 -- 0xfe
-        #  second byte range: 0xa1 -- 0xfe
-        # no validation needed here. State machine has done that
-        first_char, second_char = byte_str[0], byte_str[1]
-        if (first_char >= 0xB0) and (second_char >= 0xA1):
-            return 94 * (first_char - 0xB0) + second_char - 0xA1
-        else:
-            return -1
-
-
-class Big5DistributionAnalysis(CharDistributionAnalysis):
-    def __init__(self):
-        super(Big5DistributionAnalysis, self).__init__()
-        self._char_to_freq_order = BIG5_CHAR_TO_FREQ_ORDER
-        self._table_size = BIG5_TABLE_SIZE
-        self.typical_distribution_ratio = BIG5_TYPICAL_DISTRIBUTION_RATIO
-
-    def get_order(self, byte_str):
-        # for big5 encoding, we are interested
-        #   first  byte range: 0xa4 -- 0xfe
-        #   second byte range: 0x40 -- 0x7e , 0xa1 -- 0xfe
-        # no validation needed here. State machine has done that
-        first_char, second_char = byte_str[0], byte_str[1]
-        if first_char >= 0xA4:
-            if second_char >= 0xA1:
-                return 157 * (first_char - 0xA4) + second_char - 0xA1 + 63
-            else:
-                return 157 * (first_char - 0xA4) + second_char - 0x40
-        else:
-            return -1
-
-
-class SJISDistributionAnalysis(CharDistributionAnalysis):
-    def __init__(self):
-        super(SJISDistributionAnalysis, self).__init__()
-        self._char_to_freq_order = JIS_CHAR_TO_FREQ_ORDER
-        self._table_size = JIS_TABLE_SIZE
-        self.typical_distribution_ratio = JIS_TYPICAL_DISTRIBUTION_RATIO
-
-    def get_order(self, byte_str):
-        # for sjis encoding, we are interested
-        #   first  byte range: 0x81 -- 0x9f , 0xe0 -- 0xfe
-        #   second byte range: 0x40 -- 0x7e,  0x81 -- oxfe
-        # no validation needed here. State machine has done that
-        first_char, second_char = byte_str[0], byte_str[1]
-        if (first_char >= 0x81) and (first_char <= 0x9F):
-            order = 188 * (first_char - 0x81)
-        elif (first_char >= 0xE0) and (first_char <= 0xEF):
-            order = 188 * (first_char - 0xE0 + 31)
-        else:
-            return -1
-        order = order + second_char - 0x40
-        if second_char > 0x7F:
-            order = -1
-        return order
-
-
-class EUCJPDistributionAnalysis(CharDistributionAnalysis):
-    def __init__(self):
-        super(EUCJPDistributionAnalysis, self).__init__()
-        self._char_to_freq_order = JIS_CHAR_TO_FREQ_ORDER
-        self._table_size = JIS_TABLE_SIZE
-        self.typical_distribution_ratio = JIS_TYPICAL_DISTRIBUTION_RATIO
-
-    def get_order(self, byte_str):
-        # for euc-JP encoding, we are interested
-        #   first  byte range: 0xa0 -- 0xfe
-        #   second byte range: 0xa1 -- 0xfe
-        # no validation needed here. State machine has done that
-        char = byte_str[0]
-        if char >= 0xA0:
-            return 94 * (char - 0xA1) + byte_str[1] - 0xa1
-        else:
-            return -1