code: 
  
  
  '''simple docstring'''
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_sentencepiece_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  __lowercase  :      int      		=				{
      """configuration_open_llama""": ["""OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """OpenLlamaConfig"""],
  }
  
  try:
      if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      __lowercase  :      str      		=				["""LlamaTokenizer"""]
  
  try:
      if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      __lowercase  :      List[Any]      		=				["""LlamaTokenizerFast"""]
  
  try:
      if not is_torch_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      __lowercase  :      Any      		=				[
          """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
  
      __lowercase  :      Optional[Any]      		=				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  
  
  
  # tests directory-specific settings - this file is run automatically
  # by pytest before any tests are run
  
  import sys
  import warnings
  from os.path import abspath, dirname, join
  
  
  # allow having multiple repository checkouts and not needing to remember to rerun
  # 'pip install -e .[dev]' when switching between checkouts and running tests.
  __lowercase  :      Tuple      		=				abspath(join(dirname(dirname(dirname(__file__))), """src"""))
  sys.path.insert(1, git_repo_path)
  
  
  # silence FutureWarning warnings in tests since often we can't act on them until
  # they become normal warnings - i.e. the tests still need to test the current functionality
  warnings.simplefilter(action="""ignore""", category=FutureWarning)
  
  
  
  
  
  def 							a_       (						lowercase    )			->Any:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				from diffusers.utils.testing_utils import pytest_addoption_shared
  
  				pytest_addoption_shared(lowercase    )
  
  
  
  
  
  def 							a_       (						lowercase    )			->str:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				from diffusers.utils.testing_utils import pytest_terminal_summary_main
  
  				__lowerCamelCase		:      Union[str, Any]											=					terminalreporter.config.getoption("--make-reports"    )
  				if make_reports:
  								pytest_terminal_summary_main(lowercase							,						id=lowercase    )
  
  
  
  
  
  