"""simple docstring"""





from ..utils import DummyObject, requires_backends


class 	UpperCAmelCase_      (       metaclass=_a):
      lowerCamelCase__						:       List[Any]					    =    ["transformers", "torch", "note_seq"]


      def __init__(  self						,     *a						,     **a				)			->   List[str]:
             requires_backends(self						,     ['transformers', 'torch', 'note_seq']				)


      @classmethod
      def 						_UpperCAmelCase			(  cls						,     *a						,     **a				)			->   Union[str, Any]:
             requires_backends(cls						,     ['transformers', 'torch', 'note_seq']				)


      @classmethod
      def 						_UpperCAmelCase			(  cls						,     *a						,     **a				)			->   str:
             requires_backends(cls						,     ['transformers', 'torch', 'note_seq']				)




# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re

from ..utils import cached_file


# docstyle-ignore
_lowerCamelCase      :					Optional[int]					    =      '''
Human: <<task>>

Assistant: '''


_lowerCamelCase      :					str					    =      '''huggingface-tools/default-prompts'''
_lowerCamelCase      :					Optional[int]					    =      {'''chat''': '''chat_prompt_template.txt''', '''run''': '''run_prompt_template.txt'''}





def      A__					(			__A  :						Dict     ,				__A  :						Dict     ,				__A  :						Optional[Any]="run"			)					->Any:
      if prompt_or_repo_id is None:
            __A    =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

      __A    =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()


