


'''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_    :							Optional[int]         =					get_logger(__name__)





class 	snake_case       :





  """simple docstring"""




  _lowerCamelCase						       =    "dummy_data"
  _lowerCamelCase						       =    "datasets"
  _lowerCamelCase						       =    False






  def __init__(       self     ,    UpperCamelCase     ,    UpperCamelCase     ,    UpperCamelCase     ,    UpperCamelCase = None     ,    UpperCamelCase = False     ,    UpperCamelCase = True     ,    UpperCamelCase = None     ,    ):







   """simple docstring"""
   lowerCamelCase_						=    0
   lowerCamelCase_						=    dataset_name
   lowerCamelCase_						=    cache_dir
   lowerCamelCase_						=    use_local_dummy_data
   lowerCamelCase_						=    config
   # download_callbacks take a single url as input
   lowerCamelCase_						=    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
   lowerCamelCase_						=    load_existing_dummy_data

   # TODO(PVP, QL) might need to make this more general
   lowerCamelCase_						=    str(_UpperCamelCase	)
   # to be downloaded
   lowerCamelCase_						=    None
   lowerCamelCase_						=    None






  @property
  def     snake_case						(       self	):







   """simple docstring"""


   if self._dummy_file is None:
    lowerCamelCase_						=    self.download_dummy_data()
   return self._dummy_file






  @property
  def     snake_case						(       self	):







   """simple docstring"""


   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     snake_case						(       self	):







   """simple docstring"""
   return os.path.join(self.dummy_data_folder     ,    "dummy_data.zip"	)






  def     snake_case						(       self	):







   """simple docstring"""
   lowerCamelCase_						=    (
       self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
   )

   lowerCamelCase_						=    cached_path(
       _UpperCamelCase     ,    cache_dir=self.cache_dir     ,    extract_compressed_file=_UpperCamelCase     ,    force_extract=_UpperCamelCase	)

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






  @property
  def     snake_case						(       self	):







   """simple docstring"""
   return os.path.join(self.datasets_scripts_dir     ,    self.dataset_name     ,    self.dummy_zip_file	)






  @property
  def     snake_case						(       self	):







   """simple docstring"""


   if self._bucket_url is None:
    lowerCamelCase_						=    hf_github_url(self.dataset_name     ,    self.dummy_zip_file.replace(os.sep     ,    "/"	)	)
   return self._bucket_url






  @property
  def     snake_case						(       self	):







   """simple docstring"""


   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     snake_case						(       self     ,    UpperCamelCase     ,    *UpperCamelCase	):







   """simple docstring"""


   if self.load_existing_dummy_data:
    # dummy data is downloaded and tested
    lowerCamelCase_						=    self.dummy_file
   else:
    # dummy data cannot be downloaded and only the path to dummy file is returned
    lowerCamelCase_						=    self.dummy_file_name

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






  def     snake_case						(       self     ,    UpperCamelCase     ,    *UpperCamelCase	):







   """simple docstring"""
   return self.download_and_extract(_UpperCamelCase	)






  def     snake_case						(       self     ,    UpperCamelCase     ,    UpperCamelCase	):







   """simple docstring"""
   return self.download_and_extract(_UpperCamelCase	)






  def     snake_case						(       self     ,    UpperCamelCase     ,    *UpperCamelCase     ,    **UpperCamelCase	):







   """simple docstring"""
   return path






  def     snake_case						(       self	):







   """simple docstring"""
   return {}






  def     snake_case						(       self     ,    UpperCamelCase     ,    UpperCamelCase	):







   """simple docstring"""
   lowerCamelCase_						=    {}
   for key, single_urls in data_url.items():
    for download_callback in self.download_callbacks:
     if isinstance(_UpperCamelCase     ,    _UpperCamelCase	):
      for single_url in single_urls:
       download_callback(_UpperCamelCase	)
     else:
      lowerCamelCase_						=    single_urls
      download_callback(_UpperCamelCase	)
            # 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(_UpperCamelCase     ,    _UpperCamelCase	):
     lowerCamelCase_						=    [os.path.join(_UpperCamelCase     ,    urllib.parse.quote_plus(Path(_UpperCamelCase	).name	)	) for x in single_urls]
    else:
     lowerCamelCase_						=    single_urls
     lowerCamelCase_						=    os.path.join(_UpperCamelCase     ,    urllib.parse.quote_plus(Path(_UpperCamelCase	).name	)	)
    lowerCamelCase_						=    value

   # make sure that values are unique
   if all(isinstance(_UpperCamelCase     ,    _UpperCamelCase	) 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
    lowerCamelCase_						=    {key: value + key for key, value in dummy_data_dict.items()}

   return dummy_data_dict






  def     snake_case						(       self     ,    UpperCamelCase     ,    UpperCamelCase	):







   """simple docstring"""
   lowerCamelCase_						=    []
   # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
   lowerCamelCase_						=    all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"     ,    _UpperCamelCase	)	) for url in data_url	)
   lowerCamelCase_						=    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):
    lowerCamelCase_						=    [data_url[0]] * len(_UpperCamelCase	)
   for single_url in data_url:
    for download_callback in self.download_callbacks:
     download_callback(_UpperCamelCase	)
    # 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
    lowerCamelCase_						=    os.path.join(_UpperCamelCase     ,    urllib.parse.quote_plus(single_url.split("/"	)[-1]	)	)
    dummy_data_list.append(_UpperCamelCase	)
   return dummy_data_list






  def     snake_case						(       self     ,    UpperCamelCase     ,    UpperCamelCase	):







   """simple docstring"""


   for download_callback in self.download_callbacks:
    download_callback(_UpperCamelCase	)
   # 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
   lowerCamelCase_						=    os.path.join(_UpperCamelCase     ,    urllib.parse.quote_plus(data_url.split("/"	)[-1]	)	)
   if os.path.exists(_UpperCamelCase	) 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     snake_case						(       self	):







   """simple docstring"""
   pass






  def     snake_case						(       self	):







   """simple docstring"""
   pass






  def     snake_case						(       self     ,    UpperCamelCase	):







   """simple docstring"""


   def _iter_archive_members(UpperCamelCase	):
    # this preserves the order of the members inside the ZIP archive
    lowerCamelCase_						=    Path(self.dummy_file	).parent
    lowerCamelCase_						=    path.relative_to(_UpperCamelCase	)
    with ZipFile(self.local_path_to_dummy_data	) as zip_file:
     lowerCamelCase_						=    zip_file.namelist()
    for member in members:
     if member.startswith(relative_path.as_posix()	):
      yield dummy_parent_path.joinpath(_UpperCamelCase	)

   lowerCamelCase_						=    Path(_UpperCamelCase	)
   lowerCamelCase_						=    _iter_archive_members(_UpperCamelCase	) 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(_UpperCamelCase	).as_posix(), file_path.open("rb"	)







  def     snake_case						(       self     ,    UpperCamelCase	):







   """simple docstring"""


   if not isinstance(_UpperCamelCase     ,    _UpperCamelCase	):
    lowerCamelCase_						=    [paths]
   for path in paths:
    if os.path.isfile(_UpperCamelCase	):
     if os.path.basename(_UpperCamelCase	).startswith((".", "__")	):
      return
     yield path
    else:
     for dirpath, dirnames, filenames in os.walk(_UpperCamelCase	):
      if os.path.basename(_UpperCamelCase	).startswith((".", "__")	):
       continue
      dirnames.sort()
      for filename in sorted(_UpperCamelCase	):
       if filename.startswith((".", "__")	):
        continue
       yield os.path.join(_UpperCamelCase     ,    _UpperCamelCase	)






from __future__ import annotations







def 						lowerCamelCase__      ( __A    :list[float]	,__A    :Union[str, Any]		):


       """simple docstring"""




       print(F'Vertex\tShortest Distance from vertex {src}'		)
       for i, d in enumerate(__A		):
              print(F'{i}\t\t{d}'		)







def 						lowerCamelCase__      ( __A    :list[dict[str, int]]	,__A    :list[float]	,__A    :int		):


       """simple docstring"""




       for j in range(__A		):
              __snake_case	,    __snake_case	,    __snake_case       	=							(graph[j][k] for k in ["""src""", """dst""", """weight"""])
              if distance[u] != float("""inf"""		) and distance[u] + w < distance[v]:
                     return True
       return False







def 						lowerCamelCase__      ( __A    :list[dict[str, int]]	,__A    :int	,__A    :int	,__A    :int		):


       """simple docstring"""




       __snake_case       	=							[float("""inf"""		)] * vertex_count
       __snake_case       	=							0.0

       for _ in range(vertex_count - 1		):
              for j in range(__A		):
                     __snake_case	,    __snake_case	,    __snake_case       	=							(graph[j][k] for k in ["""src""", """dst""", """weight"""])

                     if distance[u] != float("""inf"""		) and distance[u] + w < distance[v]:
                            __snake_case       	=							distance[u] + w

       __snake_case       	=							check_negative_cycle(__A	,__A	,__A		)
       if negative_cycle_exists:
              raise Exception("""Negative cycle found"""		)

       return distance


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    UpperCamelCase__		 =     int(input('''Enter number of vertices: ''').strip())
    UpperCamelCase__		 =     int(input('''Enter number of edges: ''').strip())

    UpperCamelCase__		 =     [{} for _ in range(E)]

    for i in range(E):
        print('''Edge ''', i + 1)
        UpperCamelCase__ ,UpperCamelCase__ ,UpperCamelCase__		 =     (
            int(x)
            for x in input('''Enter source, destination, weight: ''').strip().split(''' ''')
        )
        UpperCamelCase__		 =     {'''src''': src, '''dst''': dest, '''weight''': weight}

    UpperCamelCase__		 =     int(input('''\nEnter shortest path source:''').strip())
    UpperCamelCase__		 =     bellman_ford(graph, V, E, source)
    print_distance(shortest_distance, 0)

