


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__					(    lowercase_       ,					unittest.TestCase	):







    """simple docstring"""

    __magic_name__			  =		BlenderbotSmallTokenizer
    __magic_name__			  =		False
    def 		a_			(       self    ):
         super().setUp()

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

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

         snake_case		 =				os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES['''vocab_file''']    )
         snake_case		 =				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 		a_			(       self			,					**__snake_case    ):
         kwargs.update(self.special_tokens_map    )
         return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname			,					**__UpperCamelCase    )
    def 		a_			(       self			,					__snake_case    ):
         snake_case		 =				'''adapt act apte'''
         snake_case		 =				'''adapt act apte'''
         return input_text, output_text
    def 		a_			(       self    ):
         snake_case		 =				BlenderbotSmallTokenizer(self.vocab_file			,					self.merges_file			,					**self.special_tokens_map    )
         snake_case		 =				'''adapt act apte'''
         snake_case		 =				['''adapt''', '''act''', '''ap@@''', '''te''']
         snake_case		 =				tokenizer.tokenize(__UpperCamelCase    )
         self.assertListEqual(__UpperCamelCase			,					__UpperCamelCase    )

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

         snake_case		 =				[0, 1, 2, 3, 4, 5]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase    )			,					__UpperCamelCase    )
    def 		a_			(       self    ):
         snake_case		 =				BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''    )
         assert tok('''sam'''    ).input_ids == [1_3_8_4]
         snake_case		 =				'''I am a small frog.'''
         snake_case		 =				tok([src_text]			,					padding=__UpperCamelCase			,					truncation=__UpperCamelCase    )['''input_ids''']
         snake_case		 =				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 		a_			(       self    ):
         snake_case		 =				BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''    )
         snake_case		 =				'''I am a small frog .'''
         snake_case		 =				'''.'''
         snake_case		 =				tok(__UpperCamelCase    )['''input_ids''']
         snake_case		 =				tok(__UpperCamelCase    )['''input_ids''']

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











"""simple docstring"""
import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format






class 					_UpperCAmelCase   :
					UpperCamelCase      =							None


					def 	lowerCamelCase       (					self			:List[Any]		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)
												A		=  json.loads(feat_extract.to_json_string()		)
												for key, value in self.feat_extract_dict.items():
																			self.assertEqual(obj[key]     ,       __UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)

												with tempfile.TemporaryDirectory() as tmpdirname:
																			A		=  os.path.join(__UpperCamelCase     ,       "feat_extract.json"		)
																			feat_extract_first.to_json_file(__UpperCamelCase		)
																			A		=  self.feature_extraction_class.from_json_file(__UpperCamelCase		)

												self.assertEqual(feat_extract_second.to_dict()     ,       feat_extract_first.to_dict()		)


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)

												with tempfile.TemporaryDirectory() as tmpdirname:
																			A		=  feat_extract_first.save_pretrained(__UpperCamelCase		)[0]
																			check_json_file_has_correct_format(__UpperCamelCase		)
																			A		=  self.feature_extraction_class.from_pretrained(__UpperCamelCase		)

												self.assertEqual(feat_extract_second.to_dict()     ,       feat_extract_first.to_dict()		)


					def 	lowerCamelCase       (					self			:Tuple		):
												A		=  self.feature_extraction_class()
												self.assertIsNotNone(__UpperCamelCase		)


