code: 
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_sentencepiece_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  __lowerCAmelCase				      =					{
      'configuration_open_llama': ['OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OpenLlamaConfig'],
  }
  
  try:
  	if not is_sentencepiece_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	__lowerCAmelCase				      =					['LlamaTokenizer']
  
  try:
  	if not is_tokenizers_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	__lowerCAmelCase				      =					['LlamaTokenizerFast']
  
  try:
  	if not is_torch_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	__lowerCAmelCase				      =					[
  	    'OpenLlamaForCausalLM',
  	    'OpenLlamaModel',
  	    'OpenLlamaPreTrainedModel',
  	    'OpenLlamaForSequenceClassification',
  	]
  
  
  if TYPE_CHECKING:
  	from .configuration_open_llama import OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenLlamaConfig
  
  	try:
  		if not is_sentencepiece_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from transformers import LlamaTokenizer
  
  	try:
  		if not is_tokenizers_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from transformers import LlamaTokenizerFast
  
  	try:
  		if not is_torch_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .modeling_open_llama import (
  		    OpenLlamaForCausalLM,
  		    OpenLlamaForSequenceClassification,
  		    OpenLlamaModel,
  		    OpenLlamaPreTrainedModel,
  		)
  
  
  else:
  	import sys
  
  	__lowerCAmelCase				      =					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
style_context: 
  import json
  
  import requests
  
  from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info
  
  
  def       a			(   a  )    ->Tuple:
  
  
  
  
  			'''simple docstring'''
  
  
  			class 						lowerCamelCase			:
  
  
  
  
  
  
  
  				def __init__(    self			:int      ,    lowercase			:List[str] )		->			None:
  
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  							assert isinstance(lowercase      ,    (bytes, str) )
  							SCREAMING_SNAKE_CASE    	=   content
  
  
  
  
  
  
  
  				def    snake_case__    (    self			:Optional[Any] )		->			Optional[int]:
  
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  							return json.loads(self.content )
  
  			def mock_response(*a		,	**a  ):
  						assert args[0] == AUTHENTICATED_USER_ENDPOINT
  						assert "Authorization" in kwargs["headers"]
  						assert kwargs["headers"]["Authorization"].startswith('''token '''  )
  						assert "Accept" in kwargs["headers"]
  						return FakeResponse(B'''{"login":"test","id":1}'''  )
  
  			monkeypatch.setattr(a		,	'''get'''		,	a  )
  			SCREAMING_SNAKE_CASE    	=   fetch_github_info('''token'''  )
  			assert result["login"] == "test"
  			assert result["id"] == 1