
"""simple docstring"""



import re

from ..utils import cached_file


# docstyle-ignore
a					:	Dict							=		'''
Human: <<task>>

Assistant: '''


a					:	List[str]							=		'''huggingface-tools/default-prompts'''
a					:	Union[str, Any]							=		{'''chat''': '''chat_prompt_template.txt''', '''run''': '''run_prompt_template.txt'''}


def  _UpperCamelCase	(						_A					,      _A					,      _A="run"      )    ->  List[str]:





    """simple docstring"""

    if prompt_or_repo_id is None:
        _UpperCAmelCase          =   DEFAULT_PROMPTS_REPO

    # prompt is considered a repo ID when it does not contain any kind of space
    if re.search("""\\s"""					,      _A      ) is not None:
        return prompt_or_repo_id

    _UpperCAmelCase          =   cached_file(
        _A					,      PROMPT_FILES[mode]					,      repo_type="""dataset"""					,      user_agent={"""agent""": agent_name}      )
    with open(_A					,      """r"""					,      encoding="""utf-8"""      ) as f:
        return f.read()

"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a					:	Tuple							=		{
    '''configuration_pegasus_x''': ['''PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PegasusXConfig'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a					:	List[str]							=		[
     '''PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''PegasusXForConditionalGeneration''',
     '''PegasusXModel''',
     '''PegasusXPreTrainedModel''',
 ]


if TYPE_CHECKING:
 from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_pegasus_x import (
      PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
      PegasusXForConditionalGeneration,
      PegasusXModel,
      PegasusXPreTrainedModel,
  )


else:
 import sys

 a					:	Dict							=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)