






from math import factorial, radians



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      float      ,					__lowercase :      int = 1_8      ,					__lowercase :      int = 1_0     )    ->   float:





    """simple docstring"""

    __A       =						angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)

    # Converting from degrees to radians
    __A       =						radians(__lowercase     )

    __A       =						angle_in_radians
    __A       =						3
    __A       =						-1

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

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

    return round(__lowercase      ,					__lowercase     )


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
__a   :							Tuple						= "\nHuman: <<task>>\n\nAssistant: "


__a   :							Union[str, Any]						= "huggingface-tools/default-prompts"
__a   :							Optional[int]						= {"chat": "chat_prompt_template.txt", "run": "run_prompt_template.txt"}



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      Tuple      ,					__lowercase :      Optional[Any]      ,					__lowercase :      List[Any]="run"     )    ->   Optional[int]:





    """simple docstring"""

    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"""      ,					__lowercase     ) is not None:
        return prompt_or_repo_id

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




