


"""simple docstring"""


import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin



class   _a      (      snake_case__		,		unittest.TestCase ):

    '''simple docstring'''





    a_    :				List[Any]             =    BlenderbotSmallTokenizer
    a_    :				Union[str, Any]             =    False
    def      _UpperCamelCase       ( self							:					Union[str, Any]				):
          super().setUp()

          lowerCamelCase__           =		['__start__', 'adapt', 'act', 'ap@@', 'te', '__end__', '__unk__']
          lowerCamelCase__           =		dict(zip(UpperCAmelCase_							,					range(len(UpperCAmelCase_				)				)				)				)

          lowerCamelCase__           =		['#version: 0.2', 'a p', 't e</w>', 'ap t</w>', 'a d', 'ad apt</w>', 'a c', 'ac t</w>', '']
          lowerCamelCase__           =		{'unk_token': '__unk__', 'bos_token': '__start__', 'eos_token': '__end__'}

          lowerCamelCase__           =		os.path.join(self.tmpdirname							,					VOCAB_FILES_NAMES['vocab_file']				)
          lowerCamelCase__           =		os.path.join(self.tmpdirname							,					VOCAB_FILES_NAMES['merges_file']				)
          with open(self.vocab_file							,					'w'							,					encoding='utf-8'				) as fp:
                fp.write(json.dumps(UpperCAmelCase_				) + '\n'				)
          with open(self.merges_file							,					'w'							,					encoding='utf-8'				) as fp:
                fp.write('\n'.join(UpperCAmelCase_				)				)
    def      _UpperCamelCase       ( self							:					List[str]							,					**SCREAMING_SNAKE_CASE__							:					List[Any]				):
          kwargs.update(self.special_tokens_map				)
          return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname							,					**UpperCAmelCase_				)
    def      _UpperCamelCase       ( self							:					Optional[int]							,					SCREAMING_SNAKE_CASE__							:					Optional[Any]				):
          lowerCamelCase__           =		'adapt act apte'
          lowerCamelCase__           =		'adapt act apte'
          return input_text, output_text
    def      _UpperCamelCase       ( self							:					List[str]				):
          lowerCamelCase__           =		BlenderbotSmallTokenizer(self.vocab_file							,					self.merges_file							,					**self.special_tokens_map				)
          lowerCamelCase__           =		'adapt act apte'
          lowerCamelCase__           =		['adapt', 'act', 'ap@@', 'te']
          lowerCamelCase__           =		tokenizer.tokenize(UpperCAmelCase_				)
          self.assertListEqual(UpperCAmelCase_							,					UpperCAmelCase_				)

          lowerCamelCase__           =		[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

          lowerCamelCase__           =		[0, 1, 2, 3, 4, 5]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_				)							,					UpperCAmelCase_				)
    def      _UpperCamelCase       ( self							:					List[Any]				):
          lowerCamelCase__           =		BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M'				)
          assert tok('sam'				).input_ids == [13_84]
          lowerCamelCase__           =		'I am a small frog.'
          lowerCamelCase__           =		tok([src_text]							,					padding=UpperCAmelCase_							,					truncation=UpperCAmelCase_				)['input_ids']
          lowerCamelCase__           =		tok.batch_decode(UpperCAmelCase_							,					skip_special_tokens=UpperCAmelCase_							,					clean_up_tokenization_spaces=UpperCAmelCase_				)[0]
          assert src_text != decoded  # I wish it did!
          assert decoded == "i am a small frog ."


    def      _UpperCamelCase       ( self							:					int				):
          lowerCamelCase__           =		BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M'				)
          lowerCamelCase__           =		'I am a small frog .'
          lowerCamelCase__           =		'.'
          lowerCamelCase__           =		tok(UpperCAmelCase_				)['input_ids']
          lowerCamelCase__           =		tok(UpperCAmelCase_				)['input_ids']

          assert encoded[-1] == encoded_dot[0]







"""simple docstring"""


def   snake_case						(				_a:     list[list[float]]							)->		list[list[float]]:
      '''simple docstring'''


      lowerCamelCase__           =		[]
      for data in source_data:
            for i, el in enumerate(_a							):
                  if len(_a							) < i + 1:
                        data_lists.append([]							)
                  data_lists[i].append(float(_a							)							)
      return data_lists



def   snake_case						(				_a:     list[list[float]]		,   _a:     list[int]							)->		list[list[float]]:
      '''simple docstring'''


      lowerCamelCase__           =		[]
      for dlist, weight in zip(_a		,   _a							):
            lowerCamelCase__           =		min(_a							)
            lowerCamelCase__           =		max(_a							)

            lowerCamelCase__           =		[]
            # for weight 0 score is 1 - actual score
            if weight == 0:
                  for item in dlist:
                        try:
                              score.append(1 - ((item - mind) / (maxd - mind))							)
                        except ZeroDivisionError:
                              score.append(1							)

            elif weight == 1:
                  for item in dlist:
                        try:
                              score.append((item - mind) / (maxd - mind)							)
                        except ZeroDivisionError:
                              score.append(0							)

        # weight not 0 or 1
            else:
                  lowerCamelCase__           =		F'Invalid weight of {weight:f} provided'
                  raise ValueError(_a							)

            score_lists.append(_a							)

      return score_lists



def   snake_case						(				_a:     list[list[float]]							)->		list[float]:
      '''simple docstring'''


      lowerCamelCase__           =		[0 for i in range(len(score_lists[0]							)							)]

      for slist in score_lists:
            for j, ele in enumerate(_a							):
                  lowerCamelCase__           =		final_scores[j] + ele

      return final_scores






def   snake_case						(				_a:     list[list[float]]		,   _a:     list[int]							)->		list[list[float]]:
      '''simple docstring'''


      lowerCamelCase__           =		get_data(_a							)
      lowerCamelCase__           =		calculate_each_score(_a		,   _a							)
      lowerCamelCase__           =		generate_final_scores(_a							)

      # append scores to source data
      for i, ele in enumerate(_a							):
            source_data[i].append(_a							)

      return source_data



