

"""simple docstring"""




from collections import defaultdict





def       lowercase__						(       snake_case_   :int    ):
	__UpperCAmelCase      		= 1
	__UpperCAmelCase      		= True
	for v in tree[start]:
		if v not in visited:
			ret += dfs(snake_case_    )
	if ret % 2 == 0:
		cuts.append(snake_case_    )
	return ret





def       lowercase__						(       ):
	dfs(1    )


if __name__ == "__main__":
				_lowercase					,_lowercase   :	Union[str, Any]												=						10, 9
				_lowercase   :	Union[str, Any]												=						defaultdict(list)
				_lowercase   :	dict[int, bool]												=						{}
				_lowercase   :	list[int]												=						[]
				_lowercase   :	Tuple												=						0
				_lowercase   :	Optional[Any]												=						[(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (10, 8)]
				for u, v in edges:
								tree[u].append(v)
								tree[v].append(u)
				even_tree()
				print(len(cuts) - 1)



# 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()


