code: 
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  SCREAMING_SNAKE_CASE__    :    Optional[int]								=					{
      "configuration_prophetnet": ["PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ProphetNetConfig"],
      "tokenization_prophetnet": ["ProphetNetTokenizer"],
  }
  
  try:
  				if not is_torch_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				SCREAMING_SNAKE_CASE__    :    Optional[int]								=					[
  				    "PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
  				    "ProphetNetDecoder",
  				    "ProphetNetEncoder",
  				    "ProphetNetForCausalLM",
  				    "ProphetNetForConditionalGeneration",
  				    "ProphetNetModel",
  				    "ProphetNetPreTrainedModel",
  				]
  
  
  if TYPE_CHECKING:
  				from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
  				from .tokenization_prophetnet import ProphetNetTokenizer
  
  				try:
  								if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .modeling_prophetnet import (
  								    PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
  								    ProphetNetDecoder,
  								    ProphetNetEncoder,
  								    ProphetNetForCausalLM,
  								    ProphetNetForConditionalGeneration,
  								    ProphetNetModel,
  								    ProphetNetPreTrainedModel,
  								)
  
  else:
  				import sys
  
  				SCREAMING_SNAKE_CASE__    :    Optional[Any]								=					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
style_context: 
  
  
  
  
  SCREAMING_SNAKE_CASE__    :    List[str]								=					"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"
  
  SCREAMING_SNAKE_CASE__    :    List[str]								=					[{"type": "code", "content": INSTALL_CONTENT}]
  SCREAMING_SNAKE_CASE__    :    List[Any]								=					{
      "{processor_class}": "FakeProcessorClass",
      "{model_class}": "FakeModelClass",
      "{object_class}": "FakeObjectClass",
  }
  