
'''simple docstring'''
def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							Union[str, Any]:  # noqa: E741


		'''simple docstring'''


		snake_case  :       Any     			=						len(SCREAMING_SNAKE_CASE__			)
		snake_case  :       Any     			=						0
		snake_case  :       Tuple     			=						[0] * n
		snake_case  :       List[Any]     			=						[False] * n
		snake_case  :       Union[str, Any]     			=						[False] * n

		def dfs(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			):
				if parent == root:
						out_edge_count += 1
				snake_case  :       Dict     			=						True
				snake_case  :       str     			=						at

				for to in l[at]:
						if to == parent:
								pass
						elif not visited[to]:
								snake_case  :       str     			=						dfs(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)
								snake_case  :       Dict     			=						min(low[at] ,       low[to]			)

								# AP found via bridge
								if at < low[to]:
										snake_case  :       Dict     			=						True
								# AP found via cycle
								if at == low[to]:
										snake_case  :       Tuple     			=						True
						else:
								snake_case  :       Union[str, Any]     			=						min(low[at] ,       SCREAMING_SNAKE_CASE__			)
				return out_edge_count

		for i in range(SCREAMING_SNAKE_CASE__			):
				if not visited[i]:
						snake_case  :       Any     			=						0
						snake_case  :       Optional[int]     			=						dfs(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       -1 ,       SCREAMING_SNAKE_CASE__			)
						snake_case  :       int     			=						out_edge_count > 1

		for x in range(len(SCREAMING_SNAKE_CASE__			)			):
				if is_art[x] is True:
						print(SCREAMING_SNAKE_CASE__			)


# Adjacency list of graph
lowercase__						       =      {
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}




compute_ap(data)




'''simple docstring'''
# 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
lowercase__						       =      "\nHuman: <<task>>\n\nAssistant: "


lowercase__						       =      "huggingface-tools/default-prompts"
lowercase__						       =      {"chat": "chat_prompt_template.txt", "run": "run_prompt_template.txt"}




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__="run"			)  ->							Dict:


		'''simple docstring'''


		if prompt_or_repo_id is None:
				snake_case  :       Union[str, Any]     			=						DEFAULT_PROMPTS_REPO

		# prompt is considered a repo ID when it does not contain any kind of space
		if re.search('''\\s''' ,       SCREAMING_SNAKE_CASE__			) is not None:
				return prompt_or_repo_id

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


