





'''simple docstring'''






# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


A_		:  Tuple		 =						get_logger(__name__)
class 					__snake_case  :






   '''simple docstring'''





   lowerCamelCase__    							=      '''dummy_data'''
   lowerCamelCase__    							=      '''datasets'''
   lowerCamelCase__    							=      False

   def __init__(							self	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE = None	,		__SCREAMING_SNAKE_CASE = False	,		__SCREAMING_SNAKE_CASE = True	,		__SCREAMING_SNAKE_CASE = None	,		):
    snake_case__     :					List[Any]    =  0
    snake_case__     :					Union[str, Any]    =  dataset_name
    snake_case__     :					Optional[int]    =  cache_dir
    snake_case__     :					Union[str, Any]    =  use_local_dummy_data
    snake_case__     :					int    =  config
    # download_callbacks take a single url as input
    snake_case__     :					List[Callable]    =  download_callbacks or []
    # if False, it doesn't load existing files and it returns the paths of the dummy files relative
    # to the dummy_data zip file root
    snake_case__     :					Union[str, Any]    =  load_existing_dummy_data

    # TODO(PVP, QL) might need to make this more general
    snake_case__     :					Union[str, Any]    =  str(__SCREAMING_SNAKE_CASE       )
    # to be downloaded
    snake_case__     :					List[str]    =  None
    snake_case__     :					List[str]    =  None

   @property
   def 		__UpperCamelCase						(							self       ):
    if self._dummy_file is None:
     snake_case__     :					List[str]    =  self.download_dummy_data()
    return self._dummy_file

   @property
   def 		__UpperCamelCase						(							self       ):
    if self.config is not None:
     # structure is dummy / config_name / version_name
     return os.path.join("""dummy"""	,		self.config.name	,		self.version_name       )
    # structure is dummy / version_name
    return os.path.join("""dummy"""	,		self.version_name       )

   @property
   def 		__UpperCamelCase						(							self       ):
    return os.path.join(self.dummy_data_folder	,		"""dummy_data.zip"""       )

   def 		__UpperCamelCase						(							self       ):
    snake_case__     :					Optional[Any]    =  (
        self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
    )

    snake_case__     :					Optional[int]    =  cached_path(
        __SCREAMING_SNAKE_CASE	,		cache_dir=self.cache_dir	,		extract_compressed_file=__SCREAMING_SNAKE_CASE	,		force_extract=__SCREAMING_SNAKE_CASE       )

    return os.path.join(__SCREAMING_SNAKE_CASE	,		self.dummy_file_name       )

   @property
   def 		__UpperCamelCase						(							self       ):
    return os.path.join(self.datasets_scripts_dir	,		self.dataset_name	,		self.dummy_zip_file       )

   @property
   def 		__UpperCamelCase						(							self       ):
    if self._bucket_url is None:
     snake_case__     :					List[str]    =  hf_github_url(self.dataset_name	,		self.dummy_zip_file.replace(os.sep	,		"""/"""       )       )
    return self._bucket_url

   @property
   def 		__UpperCamelCase						(							self       ):
    # return full path if its a dir
    if os.path.isdir(self.dummy_file       ):
     return self.dummy_file
    # else cut off path to file -> example `xsum`.
    return "/".join(self.dummy_file.replace(os.sep	,		"""/"""       ).split("""/"""       )[:-1]       )

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE	,		*__SCREAMING_SNAKE_CASE       ):
    if self.load_existing_dummy_data:
     # dummy data is downloaded and tested
     snake_case__     :					List[Any]    =  self.dummy_file
    else:
     # dummy data cannot be downloaded and only the path to dummy file is returned
     snake_case__     :					List[Any]    =  self.dummy_file_name

    # special case when data_url is a dict
    if isinstance(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):
     return self.create_dummy_data_dict(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       )
    elif isinstance(__SCREAMING_SNAKE_CASE	,		(list, tuple)       ):
     return self.create_dummy_data_list(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       )
    else:
     return self.create_dummy_data_single(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       )

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE	,		*__SCREAMING_SNAKE_CASE       ):
    return self.download_and_extract(__SCREAMING_SNAKE_CASE       )

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):
    return self.download_and_extract(__SCREAMING_SNAKE_CASE       )

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE	,		*__SCREAMING_SNAKE_CASE	,		**__SCREAMING_SNAKE_CASE       ):
    return path

   def 		__UpperCamelCase						(							self       ):
    return {}

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):
    snake_case__     :					int    =  {}
    for key, single_urls in data_url.items():
     for download_callback in self.download_callbacks:
      if isinstance(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):
       for single_url in single_urls:
        download_callback(__SCREAMING_SNAKE_CASE       )
      else:
       snake_case__     :					List[str]    =  single_urls
       download_callback(__SCREAMING_SNAKE_CASE       )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
     if isinstance(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):
      snake_case__     :					Tuple    =  [os.path.join(__SCREAMING_SNAKE_CASE	,		urllib.parse.quote_plus(Path(__SCREAMING_SNAKE_CASE       ).name       )       ) for x in single_urls]
     else:
      snake_case__     :					List[Any]    =  single_urls
      snake_case__     :					Tuple    =  os.path.join(__SCREAMING_SNAKE_CASE	,		urllib.parse.quote_plus(Path(__SCREAMING_SNAKE_CASE       ).name       )       )
     snake_case__     :					Optional[int]    =  value

    # make sure that values are unique
    if all(isinstance(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ) for i in dummy_data_dict.values()       ) and len(set(dummy_data_dict.values()       )       ) < len(
        dummy_data_dict.values()       ):
     # append key to value to make its name unique
     snake_case__     :					List[Any]    =  {key: value + key for key, value in dummy_data_dict.items()}

    return dummy_data_dict

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):
    snake_case__     :					Dict    =  []
    # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
    snake_case__     :					Tuple    =  all(bool(re.findall("""[0-9]{3,}-of-[0-9]{3,}"""	,		__SCREAMING_SNAKE_CASE       )       ) for url in data_url       )
    snake_case__     :					List[Any]    =  all(
        url.startswith("""https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed"""       ) for url in data_url       )
    if data_url and (is_tf_records or is_pubmed_records):
     snake_case__     :					List[str]    =  [data_url[0]] * len(__SCREAMING_SNAKE_CASE       )
    for single_url in data_url:
     for download_callback in self.download_callbacks:
      download_callback(__SCREAMING_SNAKE_CASE       )
     # we force the name of each key to be the last file / folder name of the url path
     # if the url has arguments, we need to encode them with urllib.parse.quote_plus
     snake_case__     :					List[Any]    =  os.path.join(__SCREAMING_SNAKE_CASE	,		urllib.parse.quote_plus(single_url.split("""/"""       )[-1]       )       )
     dummy_data_list.append(__SCREAMING_SNAKE_CASE       )
    return dummy_data_list

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):
    for download_callback in self.download_callbacks:
     download_callback(__SCREAMING_SNAKE_CASE       )
    # we force the name of each key to be the last file / folder name of the url path
    # if the url has arguments, we need to encode them with urllib.parse.quote_plus
    snake_case__     :					Any    =  os.path.join(__SCREAMING_SNAKE_CASE	,		urllib.parse.quote_plus(data_url.split("""/"""       )[-1]       )       )
    if os.path.exists(__SCREAMING_SNAKE_CASE       ) or not self.load_existing_dummy_data:
     return value
    else:
     # Backward compatibility, maybe deprecate at one point.
     # For many datasets with single url calls to dl_manager.download_and_extract,
     # the dummy_data.zip file is actually the zipped downloaded file
     # while now we expected the dummy_data.zip file to be a directory containing
     # the downloaded file.
     return path_to_dummy_data

   def 		__UpperCamelCase						(							self       ):
    pass

   def 		__UpperCamelCase						(							self       ):
    pass

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE       ):
    def _iter_archive_members(__SCREAMING_SNAKE_CASE       ):
     # this preserves the order of the members inside the ZIP archive
     snake_case__     :					List[str]    =  Path(self.dummy_file       ).parent
     snake_case__     :					Dict    =  path.relative_to(__SCREAMING_SNAKE_CASE       )
     with ZipFile(self.local_path_to_dummy_data       ) as zip_file:
      snake_case__     :					Optional[int]    =  zip_file.namelist()
     for member in members:
      if member.startswith(relative_path.as_posix()       ):
       yield dummy_parent_path.joinpath(__SCREAMING_SNAKE_CASE       )

    snake_case__     :					Any    =  Path(__SCREAMING_SNAKE_CASE       )
    snake_case__     :					int    =  _iter_archive_members(__SCREAMING_SNAKE_CASE       ) if self.use_local_dummy_data else path.rglob("""*"""       )
    for file_path in file_paths:
     if file_path.is_file() and not file_path.name.startswith((""".""", """__""")       ):
      yield file_path.relative_to(__SCREAMING_SNAKE_CASE       ).as_posix(), file_path.open("""rb"""       )


   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE       ):
    if not isinstance(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):
     snake_case__     :					Optional[int]    =  [paths]
    for path in paths:
     if os.path.isfile(__SCREAMING_SNAKE_CASE       ):
      if os.path.basename(__SCREAMING_SNAKE_CASE       ).startswith((""".""", """__""")       ):
       return
      yield path
     else:
      for dirpath, dirnames, filenames in os.walk(__SCREAMING_SNAKE_CASE       ):
       if os.path.basename(__SCREAMING_SNAKE_CASE       ).startswith((""".""", """__""")       ):
        continue
       dirnames.sort()
       for filename in sorted(__SCREAMING_SNAKE_CASE       ):
        if filename.startswith((""".""", """__""")       ):
         continue
        yield os.path.join(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       )







def 			_A	(      SCREAMING_SNAKE_CASE      ):  # noqa: E741
	UpperCAmelCase__:	int									= len(SCREAMING_SNAKE_CASE      )
	UpperCAmelCase__:	Dict									= 0
	UpperCAmelCase__:	Optional[int]									= [0] * n
	UpperCAmelCase__:	List[str]									= [False] * n
	UpperCAmelCase__:	List[str]									= [False] * n

	def dfs(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE      ):
		if parent == root:
			out_edge_count += 1
		UpperCAmelCase__:	List[str]									= True
		UpperCAmelCase__:	List[Any]									= at

		for to in l[at]:
			if to == parent:
				pass
			elif not visited[to]:
				UpperCAmelCase__:	str									= dfs(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE      )
				UpperCAmelCase__:	Optional[Any]									= min(low[at]	,low[to]      )

				# AP found via bridge
				if at < low[to]:
					UpperCAmelCase__:	List[Any]									= True
				# AP found via cycle
				if at == low[to]:
					UpperCAmelCase__:	str									= True
			else:
				UpperCAmelCase__:	Union[str, Any]									= min(low[at]	,SCREAMING_SNAKE_CASE      )
		return out_edge_count

	for i in range(SCREAMING_SNAKE_CASE      ):
		if not visited[i]:
			UpperCAmelCase__:	Optional[Any]									= 0
			UpperCAmelCase__:	Union[str, Any]									= dfs(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,-1	,SCREAMING_SNAKE_CASE      )
			UpperCAmelCase__:	Tuple									= 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
_lowerCAmelCase  :      Any			 ={
    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)