






'''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


UpperCamelCase							=get_logger(__name__)




class     A    :






 """simple docstring"""





 __a			:						List[str]      =						'''dummy_data'''
 __a			:						str      =						'''datasets'''
 __a			:						int      =						False
 def __init__(							self			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase = None			,     __lowerCAmelCase = False			,     __lowerCAmelCase = True			,     __lowerCAmelCase = None			,     ):
       UpperCamelCase_				:   Optional[int]					    =							0
       UpperCamelCase_				:   str					    =							dataset_name
       UpperCamelCase_				:   str					    =							cache_dir
       UpperCamelCase_				:   Any					    =							use_local_dummy_data
       UpperCamelCase_				:   str					    =							config
       # download_callbacks take a single url as input
       UpperCamelCase_				:   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
       UpperCamelCase_				:   str					    =							load_existing_dummy_data

       # TODO(PVP, QL) might need to make this more general
       UpperCamelCase_				:   int					    =							str(__lowerCAmelCase )
       # to be downloaded
       UpperCamelCase_				:   Optional[int]					    =							None
       UpperCamelCase_				:   Union[str, Any]					    =							None
 @property
 def   _UpperCAmelCase       (							self ):
       if self._dummy_file is None:
             UpperCamelCase_				:   Tuple					    =							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 ):
       UpperCamelCase_				:   List[Any]					    =							(
           self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
       )

       UpperCamelCase_				:   List[Any]					    =							cached_path(
           __lowerCAmelCase			,     cache_dir=self.cache_dir			,     extract_compressed_file=__lowerCAmelCase			,     force_extract=__lowerCAmelCase )

       return os.path.join(__lowerCAmelCase			,     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:
             UpperCamelCase_				:   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			,     __lowerCAmelCase			,     *__lowerCAmelCase ):
       if self.load_existing_dummy_data:
             # dummy data is downloaded and tested
             UpperCamelCase_				:   Tuple					    =							self.dummy_file
       else:
             # dummy data cannot be downloaded and only the path to dummy file is returned
             UpperCamelCase_				:   Dict					    =							self.dummy_file_name

       # special case when data_url is a dict
       if isinstance(__lowerCAmelCase			,     __lowerCAmelCase ):
             return self.create_dummy_data_dict(__lowerCAmelCase			,     __lowerCAmelCase )
       elif isinstance(__lowerCAmelCase			,     (list, tuple) ):
             return self.create_dummy_data_list(__lowerCAmelCase			,     __lowerCAmelCase )
       else:
             return self.create_dummy_data_single(__lowerCAmelCase			,     __lowerCAmelCase )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     *__lowerCAmelCase ):
       return self.download_and_extract(__lowerCAmelCase )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase ):
       return self.download_and_extract(__lowerCAmelCase )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     *__lowerCAmelCase			,     **__lowerCAmelCase ):
       return path
 def   _UpperCAmelCase       (							self ):
       return {}
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase ):
       UpperCamelCase_				:   Dict					    =							{}
       for key, single_urls in data_url.items():
             for download_callback in self.download_callbacks:
                   if isinstance(__lowerCAmelCase			,     __lowerCAmelCase ):
                         for single_url in single_urls:
                               download_callback(__lowerCAmelCase )
                   else:
                         UpperCamelCase_				:   List[Any]					    =							single_urls
                         download_callback(__lowerCAmelCase )
            # 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(__lowerCAmelCase			,     __lowerCAmelCase ):
                   UpperCamelCase_				:   List[Any]					    =							[os.path.join(__lowerCAmelCase			,     urllib.parse.quote_plus(Path(__lowerCAmelCase ).name ) ) for x in single_urls]
             else:
                   UpperCamelCase_				:   Dict					    =							single_urls
                   UpperCamelCase_				:   Optional[Any]					    =							os.path.join(__lowerCAmelCase			,     urllib.parse.quote_plus(Path(__lowerCAmelCase ).name ) )
             UpperCamelCase_				:   str					    =							value

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

       return dummy_data_dict
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase ):
       UpperCamelCase_				:   Optional[Any]					    =							[]
       # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
       UpperCamelCase_				:   Union[str, Any]					    =							all(bool(re.findall("""[0-9]{3,}-of-[0-9]{3,}"""			,     __lowerCAmelCase ) ) for url in data_url )
       UpperCamelCase_				:   List[str]					    =							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):
             UpperCamelCase_				:   Union[str, Any]					    =							[data_url[0]] * len(__lowerCAmelCase )
       for single_url in data_url:
             for download_callback in self.download_callbacks:
                   download_callback(__lowerCAmelCase )
             # 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
             UpperCamelCase_				:   Dict					    =							os.path.join(__lowerCAmelCase			,     urllib.parse.quote_plus(single_url.split("""/""" )[-1] ) )
             dummy_data_list.append(__lowerCAmelCase )
       return dummy_data_list
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase ):
       for download_callback in self.download_callbacks:
             download_callback(__lowerCAmelCase )
       # 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
       UpperCamelCase_				:   Any					    =							os.path.join(__lowerCAmelCase			,     urllib.parse.quote_plus(data_url.split("""/""" )[-1] ) )
       if os.path.exists(__lowerCAmelCase ) 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			,     __lowerCAmelCase ):
       def _iter_archive_members(__lowerCAmelCase ):
             # this preserves the order of the members inside the ZIP archive
             UpperCamelCase_				:   Union[str, Any]					    =							Path(self.dummy_file ).parent
             UpperCamelCase_				:   int					    =							path.relative_to(__lowerCAmelCase )
             with ZipFile(self.local_path_to_dummy_data ) as zip_file:
                   UpperCamelCase_				:   List[Any]					    =							zip_file.namelist()
             for member in members:
                   if member.startswith(relative_path.as_posix() ):
                         yield dummy_parent_path.joinpath(__lowerCAmelCase )

       UpperCamelCase_				:   List[Any]					    =							Path(__lowerCAmelCase )
       UpperCamelCase_				:   List[str]					    =							_iter_archive_members(__lowerCAmelCase ) 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(__lowerCAmelCase ).as_posix(), file_path.open("""rb""" )





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














'''simple docstring'''

import random



def 							snake_case					(     a_							: int    ,   a_							: float    ,   a_							: bool = False	)       ->				dict:





      """simple docstring"""

      UpperCamelCase_				:   dict					    =							{i: [] for i in range(a_	)}

      # if probability is greater or equal than 1, then generate a complete graph
      if probability >= 1:
            return complete_graph(a_	)
      # if probability is lower or equal than 0, then return a graph without edges
      if probability <= 0:
            return graph

      # for each couple of nodes, add an edge from u to v
      # if the number randomly generated is greater than probability probability
      for i in range(a_	):
            for j in range(i + 1    ,   a_	):
                  if random.random() < probability:
                        graph[i].append(a_	)
                        if not directed:
                              # if the graph is undirected, add an edge in from j to i, either
                              graph[j].append(a_	)
      return graph



def 							snake_case					(     a_							: int	)       ->				dict:





      """simple docstring"""

      return {
          i: [j for j in range(a_	) if i != j] for i in range(a_	)
      }


if __name__ == "__main__":
      import doctest

      doctest.testmod()






