"""simple docstring"""





from math import factorial, radians





def 							a_	( _lowerCAmelCase    :					float  ,					_lowerCAmelCase    :					int = 18  ,					_lowerCAmelCase    :					int = 10	):





       '''simple docstring'''

       lowercase__     :						Optional[int]         =      angle_in_degrees - ((angle_in_degrees // 3_6_0.0) * 3_6_0.0)

       # Converting from degrees to radians
       lowercase__     :						Dict         =      radians(__A	)

       lowercase__     :						Any         =      angle_in_radians
       lowercase__     :						Union[str, Any]         =      3
       lowercase__     :						List[str]         =      -1

       for _ in range(__A	):
              result += (b * (angle_in_radians**a)) / factorial(__A	)

              lowercase__     :						Any         =      -b  # One positive term and the next will be negative and so on...
              a += 2  # Increased by 2 for every term.

       return round(__A  ,					__A	)


if __name__ == "__main__":
       __import__("doctest").testmod()




# 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()


