
import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation


lowercase__          =logging.get_logger(__name__)

lowercase__          ={'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

lowercase__          ={
    'tokenizer_file': {
        'EleutherAI/gpt-neox-20b': 'https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json',
    },
}

lowercase__          ={
    'gpt-neox-20b': 2048,
}



class 		UpperCamelCase__  (	__lowercase   ):
   _SCREAMING_SNAKE_CASE				:							List[Any]     	=				VOCAB_FILES_NAMES
   _SCREAMING_SNAKE_CASE				:							str     	=				PRETRAINED_VOCAB_FILES_MAP
   _SCREAMING_SNAKE_CASE				:							Tuple     	=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _SCREAMING_SNAKE_CASE				:							Dict     	=				["input_ids", "attention_mask"]
   def __init__(self			: List[Any] ,    snake_case_			: int=None ,    snake_case_			: int=None ,    snake_case_			: str=None ,    snake_case_			: Any="<|endoftext|>" ,    snake_case_			: List[Any]="<|endoftext|>" ,    snake_case_			: Union[str, Any]="<|endoftext|>" ,    snake_case_			: str=False ,    **snake_case_			: Any ,    ):
    super().__init__(
        snake_case_ ,    snake_case_ ,    tokenizer_file=snake_case_ ,    unk_token=snake_case_ ,    bos_token=snake_case_ ,    eos_token=snake_case_ ,    add_prefix_space=snake_case_ ,    **snake_case_ ,    )

    __a			:  int		    =  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
    if pre_tok_state.get('''add_prefix_space''' ,    snake_case_       ) != add_prefix_space:
     __a			:  Dict		    =  getattr(snake_case_ ,    pre_tok_state.pop('''type'''       )       )
     __a			:  Optional[int]		    =  add_prefix_space
     __a			:  int		    =  pre_tok_class(**snake_case_       )

    __a			:  Optional[int]		    =  add_prefix_space
   def 				lowerCAmelCase      (self			: str ,    snake_case_			: str ,    snake_case_			: Optional[str] = None       ):
    __a			:  List[Any]		    =  self._tokenizer.model.save(snake_case_ ,    name=snake_case_       )
    return tuple(snake_case_       )







   def 				lowerCAmelCase      (self			: Optional[int] ,    snake_case_			: "Conversation"       ):
    __a			:  int		    =  []
    for is_user, text in conversation.iter_texts():
     input_ids.extend(self.encode(snake_case_ ,    add_special_tokens=snake_case_       ) + [self.eos_token_id]       )

    if len(snake_case_       ) > self.model_max_length:
     __a			:  Dict		    =  input_ids[-self.model_max_length :]
    return input_ids


import os
import sys
import unittest


lowercase__          =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


lowercase__          =os.path.join('tests', 'models', 'bert', 'test_modeling_bert.py')
lowercase__          =os.path.join('tests', 'models', 'blip', 'test_modeling_blip.py')



class 		UpperCamelCase__  (	unittest.TestCase   ):
   def 				lowerCAmelCase      (self			: List[Any]       ):
    __a			:  str		    =  get_test_to_tester_mapping(snake_case_       )
    __a			:  Tuple		    =  get_test_to_tester_mapping(snake_case_       )

    __a			:  Union[str, Any]		    =  {'''BertModelTest''': '''BertModelTester'''}

    __a			:  Tuple		    =  {
        '''BlipModelTest''': '''BlipModelTester''',
        '''BlipTextImageModelTest''': '''BlipTextImageModelsModelTester''',
        '''BlipTextModelTest''': '''BlipTextModelTester''',
        '''BlipTextRetrievalModelTest''': '''BlipTextRetrievalModelTester''',
        '''BlipVQAModelTest''': '''BlipVQAModelTester''',
        '''BlipVisionModelTest''': '''BlipVisionModelTester''',
    }

    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )
    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )
   def 				lowerCAmelCase      (self			: str       ):
    __a			:  Optional[int]		    =  get_model_to_test_mapping(snake_case_       )
    __a			:  Any		    =  get_model_to_test_mapping(snake_case_       )

    __a			:  List[Any]		    =  {
        '''BertForMaskedLM''': ['''BertModelTest'''],
        '''BertForMultipleChoice''': ['''BertModelTest'''],
        '''BertForNextSentencePrediction''': ['''BertModelTest'''],
        '''BertForPreTraining''': ['''BertModelTest'''],
        '''BertForQuestionAnswering''': ['''BertModelTest'''],
        '''BertForSequenceClassification''': ['''BertModelTest'''],
        '''BertForTokenClassification''': ['''BertModelTest'''],
        '''BertLMHeadModel''': ['''BertModelTest'''],
        '''BertModel''': ['''BertModelTest'''],
    }

    __a			:  Dict		    =  {
        '''BlipForConditionalGeneration''': ['''BlipTextImageModelTest'''],
        '''BlipForImageTextRetrieval''': ['''BlipTextRetrievalModelTest'''],
        '''BlipForQuestionAnswering''': ['''BlipVQAModelTest'''],
        '''BlipModel''': ['''BlipModelTest'''],
        '''BlipTextModel''': ['''BlipTextModelTest'''],
        '''BlipVisionModel''': ['''BlipVisionModelTest'''],
    }

    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )
    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )







   def 				lowerCAmelCase      (self			: int       ):
    __a			:  Any		    =  get_model_to_tester_mapping(snake_case_       )
    __a			:  List[str]		    =  get_model_to_tester_mapping(snake_case_       )

    __a			:  Any		    =  {
        '''BertForMaskedLM''': ['''BertModelTester'''],
        '''BertForMultipleChoice''': ['''BertModelTester'''],
        '''BertForNextSentencePrediction''': ['''BertModelTester'''],
        '''BertForPreTraining''': ['''BertModelTester'''],
        '''BertForQuestionAnswering''': ['''BertModelTester'''],
        '''BertForSequenceClassification''': ['''BertModelTester'''],
        '''BertForTokenClassification''': ['''BertModelTester'''],
        '''BertLMHeadModel''': ['''BertModelTester'''],
        '''BertModel''': ['''BertModelTester'''],
    }

    __a			:  int		    =  {
        '''BlipForConditionalGeneration''': ['''BlipTextImageModelsModelTester'''],
        '''BlipForImageTextRetrieval''': ['''BlipTextRetrievalModelTester'''],
        '''BlipForQuestionAnswering''': ['''BlipVQAModelTester'''],
        '''BlipModel''': ['''BlipModelTester'''],
        '''BlipTextModel''': ['''BlipTextModelTester'''],
        '''BlipVisionModel''': ['''BlipVisionModelTester'''],
    }

    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )
    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )
