


def 							A     (				__lowerCAmelCase							:       Tuple = 1_0_0     ):
							a__    =  (n * (n + 1) // 2) ** 2
							a__    =  n * (n + 1) * (2 * n + 1) // 6
							return sum_cubes - sum_squares


if __name__ == "__main__":
						print(f"""{solution() = }""")








# 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
snake_case							: Dict      =   '''
Human: <<task>>

Assistant: '''


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






def 							__lowercase     (				__lowerCAmelCase							:       Any      ,					__lowerCAmelCase							:       Union[str, Any]      ,					__lowerCAmelCase							:       Any="run"     ):
							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'      ,					__lowerCAmelCase     ) is not None:
														return prompt_or_repo_id

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




