def feed()

in aliyun-python-sdk-core/aliyunsdkcore/vendored/requests/packages/chardet/sbcharsetprober.py [0:0]
37 lines of code
15 McCabe index (conditional complexity)

    def feed(self, byte_str):
        if not self._model['keep_english_letter']:
            byte_str = self.filter_international_words(byte_str)
        if not byte_str:
            return self.state
        char_to_order_map = self._model['char_to_order_map']
        for i, c in enumerate(byte_str):
            # XXX: Order is in range 1-64, so one would think we want 0-63 here,
            #      but that leads to 27 more test failures than before.
            order = char_to_order_map[c]
            # XXX: This was SYMBOL_CAT_ORDER before, with a value of 250, but
            #      CharacterCategory.SYMBOL is actually 253, so we use CONTROL
            #      to make it closer to the original intent. The only difference
            #      is whether or not we count digits and control characters for
            #      _total_char purposes.
            if order < CharacterCategory.CONTROL:
                self._total_char += 1
            if order < self.SAMPLE_SIZE:
                self._freq_char += 1
                if self._last_order < self.SAMPLE_SIZE:
                    self._total_seqs += 1
                    if not self._reversed:
                        i = (self._last_order * self.SAMPLE_SIZE) + order
                        model = self._model['precedence_matrix'][i]
                    else:  # reverse the order of the letters in the lookup
                        i = (order * self.SAMPLE_SIZE) + self._last_order
                        model = self._model['precedence_matrix'][i]
                    self._seq_counters[model] += 1
            self._last_order = order

        charset_name = self._model['charset_name']
        if self.state == ProbingState.DETECTING:
            if self._total_seqs > self.SB_ENOUGH_REL_THRESHOLD:
                confidence = self.get_confidence()
                if confidence > self.POSITIVE_SHORTCUT_THRESHOLD:
                    self.logger.debug('%s confidence = %s, we have a winner',
                                      charset_name, confidence)
                    self._state = ProbingState.FOUND_IT
                elif confidence < self.NEGATIVE_SHORTCUT_THRESHOLD:
                    self.logger.debug('%s confidence = %s, below negative '
                                      'shortcut threshhold %s', charset_name,
                                      confidence,
                                      self.NEGATIVE_SHORTCUT_THRESHOLD)
                    self._state = ProbingState.NOT_ME

        return self.state