



'''simple docstring'''





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
  from ..models.auto import AutoTokenizer






class __A     :



 '''simple docstring'''







 def    a__    (self					,  A			)       ->	Optional[int]:


      """simple docstring"""



      raise NotImplementedError()



 def    a__    (self			)       ->	Any:


      """simple docstring"""



      raise NotImplementedError()






class __A     (    A		):



 '''simple docstring'''







 def __init__(self					,  A					,  A = False					,  **A			)       ->	Dict:


      """simple docstring"""



      _a           =    tokenizer
      _a           =    skip_prompt
      _a           =    decode_kwargs

      # variables used in the streaming process
      _a           =    []
      _a           =    0
      _a           =    True



 def    a__    (self					,  A			)       ->	List[Any]:


      """simple docstring"""



      if len(value.shape			) > 1 and value.shape[0] > 1:
           raise ValueError('''TextStreamer only supports batch size 1'''			)
      elif len(value.shape			) > 1:
           _a           =    value[0]

      if self.skip_prompt and self.next_tokens_are_prompt:
           _a           =    False
           return

      # Add the new token to the cache and decodes the entire thing.
      self.token_cache.extend(value.tolist()			)
      _a           =    self.tokenizer.decode(self.token_cache					,  **self.decode_kwargs			)

      # After the symbol for a new line, we flush the cache.
      if text.endswith('''\n'''			):
           _a           =    text[self.print_len :]
           _a           =    []
           _a           =    0
      # If the last token is a CJK character, we print the characters.
      elif len(A			) > 0 and self._is_chinese_char(ord(text[-1]			)			):
           _a           =    text[self.print_len :]
           self.print_len += len(A			)
      # Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
      # which may change with the subsequent token -- there are probably smarter ways to do this!)
      else:
           _a           =    text[self.print_len : text.rfind(''' '''			) + 1]
           self.print_len += len(A			)

      self.on_finalized_text(A			)



 def    a__    (self			)       ->	Optional[Any]:


      """simple docstring"""



      if len(self.token_cache			) > 0:
           _a           =    self.tokenizer.decode(self.token_cache					,  **self.decode_kwargs			)
           _a           =    text[self.print_len :]
           _a           =    []
           _a           =    0
      else:
           _a           =    ''''''

      _a           =    True
      self.on_finalized_text(A					,  stream_end=A			)



 def    a__    (self					,  A					,  A = False			)       ->	Any:


      """simple docstring"""



      print(A					,  flush=A					,  end='''''' if not stream_end else None			)



 def    a__    (self					,  A			)       ->	int:


      """simple docstring"""



      if (
          (cp >= 0x4_E00 and cp <= 0x9_FFF)
          or (cp >= 0x3_400 and cp <= 0x4_DBF)  #
          or (cp >= 0x20_000 and cp <= 0x2A_6DF)  #
          or (cp >= 0x2A_700 and cp <= 0x2B_73F)  #
          or (cp >= 0x2B_740 and cp <= 0x2B_81F)  #
          or (cp >= 0x2B_820 and cp <= 0x2C_EAF)  #
          or (cp >= 0xF_900 and cp <= 0xF_AFF)
          or (cp >= 0x2F_800 and cp <= 0x2F_A1F)  #
      ):  #
           return True

      return False






class __A     (    A		):



 '''simple docstring'''







 def __init__(self					,  A					,  A = False					,  A = None					,  **A			)       ->	Tuple:


      """simple docstring"""



      super().__init__(A					,  A					,  **A			)
      _a           =    Queue()
      _a           =    None
      _a           =    timeout



 def    a__    (self					,  A					,  A = False			)       ->	Optional[int]:


      """simple docstring"""



      self.text_queue.put(A					,  timeout=self.timeout			)
      if stream_end:
           self.text_queue.put(self.stop_signal					,  timeout=self.timeout			)



 def __iter__(self			)       ->	Union[str, Any]:


      """simple docstring"""



      return self



 def    a__    (self			)       ->	List[str]:


      """simple docstring"""



      _a           =    self.text_queue.get(timeout=self.timeout			)
      if value == self.stop_signal:
           raise StopIteration()
      else:
           return value











import os
import sys
import unittest


__a:     Optional[int]   					=					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,
)


__a:     Dict   					=					os.path.join('''tests''', '''models''', '''bert''', '''test_modeling_bert.py''')
__a:     Union[str, Any]   					=					os.path.join('''tests''', '''models''', '''blip''', '''test_modeling_blip.py''')
class 		SCREAMING_SNAKE_CASE__	(  unittest.TestCase     ):

  '''simple docstring'''







  def  lowerCamelCase       (      self		:			str							)						->	Dict:


         """simple docstring"""
         _UpperCAmelCase							=    get_test_to_tester_mapping(lowerCamelCase							)
         _UpperCAmelCase							=    get_test_to_tester_mapping(lowerCamelCase							)

         _UpperCAmelCase							=    {"""BertModelTest""": """BertModelTester"""}

         _UpperCAmelCase							=    {
             """BlipModelTest""": """BlipModelTester""",
             """BlipTextImageModelTest""": """BlipTextImageModelsModelTester""",
             """BlipTextModelTest""": """BlipTextModelTester""",
             """BlipTextRetrievalModelTest""": """BlipTextRetrievalModelTester""",
             """BlipVQAModelTest""": """BlipVQAModelTester""",
             """BlipVisionModelTest""": """BlipVisionModelTester""",
         }

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


  def  lowerCamelCase       (      self		:			Optional[int]							)						->	str:


         """simple docstring"""
         _UpperCAmelCase							=    get_model_to_test_mapping(lowerCamelCase							)
         _UpperCAmelCase							=    get_model_to_test_mapping(lowerCamelCase							)

         _UpperCAmelCase							=    {
             """BertForMaskedLM""": ["""BertModelTest"""],
             """BertForMultipleChoice""": ["""BertModelTest"""],
             """BertForNextSentencePrediction""": ["""BertModelTest"""],
             """BertForPreTraining""": ["""BertModelTest"""],
             """BertForQuestionAnswering""": ["""BertModelTest"""],
             """BertForSequenceClassification""": ["""BertModelTest"""],
             """BertForTokenClassification""": ["""BertModelTest"""],
             """BertLMHeadModel""": ["""BertModelTest"""],
             """BertModel""": ["""BertModelTest"""],
         }

         _UpperCAmelCase							=    {
             """BlipForConditionalGeneration""": ["""BlipTextImageModelTest"""],
             """BlipForImageTextRetrieval""": ["""BlipTextRetrievalModelTest"""],
             """BlipForQuestionAnswering""": ["""BlipVQAModelTest"""],
             """BlipModel""": ["""BlipModelTest"""],
             """BlipTextModel""": ["""BlipTextModelTest"""],
             """BlipVisionModel""": ["""BlipVisionModelTest"""],
         }

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





  def  lowerCamelCase       (      self		:			int							)						->	Any:


         """simple docstring"""
         _UpperCAmelCase							=    get_model_to_tester_mapping(lowerCamelCase							)
         _UpperCAmelCase							=    get_model_to_tester_mapping(lowerCamelCase							)

         _UpperCAmelCase							=    {
             """BertForMaskedLM""": ["""BertModelTester"""],
             """BertForMultipleChoice""": ["""BertModelTester"""],
             """BertForNextSentencePrediction""": ["""BertModelTester"""],
             """BertForPreTraining""": ["""BertModelTester"""],
             """BertForQuestionAnswering""": ["""BertModelTester"""],
             """BertForSequenceClassification""": ["""BertModelTester"""],
             """BertForTokenClassification""": ["""BertModelTester"""],
             """BertLMHeadModel""": ["""BertModelTester"""],
             """BertModel""": ["""BertModelTester"""],
         }

         _UpperCAmelCase							=    {
             """BlipForConditionalGeneration""": ["""BlipTextImageModelsModelTester"""],
             """BlipForImageTextRetrieval""": ["""BlipTextRetrievalModelTester"""],
             """BlipForQuestionAnswering""": ["""BlipVQAModelTester"""],
             """BlipModel""": ["""BlipModelTester"""],
             """BlipTextModel""": ["""BlipTextModelTester"""],
             """BlipVisionModel""": ["""BlipVisionModelTester"""],
         }

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