

'''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 						__magic_name__   (							__SCREAMING_SNAKE_CASE ,				unittest.TestCase ):
 UpperCamelCase__     =       BlenderbotSmallTokenizer
 UpperCamelCase__     =       False







 def 						_A(       self   ):
   super().setUp()

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

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

   lowercase									=os.path.join(self.tmpdirname  , VOCAB_FILES_NAMES['''vocab_file''']   )
   lowercase									=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(snake_case_   ) + '''\n'''   )
   with open(self.merges_file  , '''w'''  , encoding='''utf-8'''   ) as fp:
     fp.write('''\n'''.join(snake_case_   )   )







 def 						_A(       self  , **snake_case_   ):
   kwargs.update(self.special_tokens_map   )
   return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname  , **snake_case_   )







 def 						_A(       self  , snake_case_   ):
   lowercase									='''adapt act apte'''
   lowercase									='''adapt act apte'''
   return input_text, output_text







 def 						_A(       self   ):
   lowercase									=BlenderbotSmallTokenizer(self.vocab_file  , self.merges_file  , **self.special_tokens_map   )
   lowercase									='''adapt act apte'''
   lowercase									=['''adapt''', '''act''', '''ap@@''', '''te''']
   lowercase									=tokenizer.tokenize(snake_case_   )
   self.assertListEqual(snake_case_  , snake_case_   )

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

   lowercase									=[0, 1, 2, 3, 4, 5]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_   )  , snake_case_   )







 def 						_A(       self   ):
   lowercase									=BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''   )
   assert tok('''sam'''   ).input_ids == [13_84]
   lowercase									='''I am a small frog.'''
   lowercase									=tok([src_text]  , padding=snake_case_  , truncation=snake_case_   )['''input_ids''']
   lowercase									=tok.batch_decode(snake_case_  , skip_special_tokens=snake_case_  , clean_up_tokenization_spaces=snake_case_   )[0]
   assert src_text != decoded  # I wish it did!
   assert decoded == "i am a small frog ."







 def 						_A(       self   ):
   lowercase									=BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''   )
   lowercase									='''I am a small frog .'''
   lowercase									='''.'''
   lowercase									=tok(snake_case_   )['''input_ids''']
   lowercase									=tok(snake_case_   )['''input_ids''']

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





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase_													=      logging.get_logger(__name__)

lowercase_													=      {
    '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/config.json''',
    '''distilbert-base-uncased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/config.json''',
    '''distilbert-base-cased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json''',
    '''distilbert-base-multilingual-cased''': (
        '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'''
    ),
    '''distilbert-base-uncased-finetuned-sst-2-english''': (
        '''https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'''
    ),
}






class     __a			(  SCREAMING_SNAKE_CASE					):
	SCREAMING_SNAKE_CASE  	=							"distilbert"
	SCREAMING_SNAKE_CASE  	=							{
	    "hidden_size": "dim",
	    "num_attention_heads": "n_heads",
	    "num_hidden_layers": "n_layers",
	}



	def __init__(    self				:     Optional[Any]					,						snake_case_				:     Tuple=3_05_22					,						snake_case_				:     Any=5_12					,						snake_case_				:     Dict=False					,						snake_case_				:     Tuple=6					,						snake_case_				:     Union[str, Any]=12					,						snake_case_				:     List[str]=7_68					,						snake_case_				:     Optional[Any]=4 * 7_68					,						snake_case_				:     Optional[Any]=0.1					,						snake_case_				:     Dict=0.1					,						snake_case_				:     Union[str, Any]="gelu"					,						snake_case_				:     Any=0.0_2					,						snake_case_				:     Optional[Any]=0.1					,						snake_case_				:     List[Any]=0.2					,						snake_case_				:     Optional[Any]=0					,						**snake_case_				:     List[Any]					,						)->				Tuple:
						__lowerCAmelCase						 =vocab_size
						__lowerCAmelCase						 =max_position_embeddings
						__lowerCAmelCase						 =sinusoidal_pos_embds
						__lowerCAmelCase						 =n_layers
						__lowerCAmelCase						 =n_heads
						__lowerCAmelCase						 =dim
						__lowerCAmelCase						 =hidden_dim
						__lowerCAmelCase						 =dropout
						__lowerCAmelCase						 =attention_dropout
						__lowerCAmelCase						 =activation
						__lowerCAmelCase						 =initializer_range
						__lowerCAmelCase						 =qa_dropout
						__lowerCAmelCase						 =seq_classif_dropout
						super().__init__(**snake_case_					,						pad_token_id=snake_case_)






class     __a			(  SCREAMING_SNAKE_CASE					):



	@property
	def 		UpperCamelCase				(    self				:     Union[str, Any])->				Mapping[str, Mapping[int, str]]:
						if self.task == "multiple-choice":
											__lowerCAmelCase						 ={0: """batch""", 1: """choice""", 2: """sequence"""}
						else:
											__lowerCAmelCase						 ={0: """batch""", 1: """sequence"""}
						return OrderedDict(
						    [
						        ("""input_ids""", dynamic_axis),
						        ("""attention_mask""", dynamic_axis),
						    ])




