


'''simple docstring'''

import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


lowerCamelCase							:   Tuple  						=	'http://www.mocksite.com/file1.txt'
lowerCamelCase							:   Union[str, Any]  						=	'"text": ["foo", "foo"]'
lowerCamelCase							:   Dict  						=	'6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'
class   __lowerCAmelCase						:





      '''simple docstring'''






      lowerCAmelCase__					:     Union[str, Any]  					=							200
      lowerCAmelCase__					:     str  					=							{"""Content-Length""": """100"""}
      lowerCAmelCase__					:     Optional[Any]  					=							{}



      def       UpperCamelCase__		(self    :    Tuple   ,						**UpperCamelCase    :    int ):

             '''simple docstring'''







             return [bytes(UpperCamelCase   ,						'''utf-8''' )]






def _SCREAMING_SNAKE_CASE      (*A  , **A       )       ->       str:






       """simple docstring"""







       return MockResponse()

@pytest.mark.parametrize('''urls_type'''  , [str, list, dict]       )
def _SCREAMING_SNAKE_CASE      (A  , A  , A       )       ->       List[str]:






       """simple docstring"""







       import requests

       monkeypatch.setattr(A  , '''request'''  , A       )

       lowercase__      			= URL
       if issubclass(A  , A       ):
              lowercase__      			= url
       elif issubclass(A  , A       ):
              lowercase__      			= [url]
       elif issubclass(A  , A       ):
              lowercase__      			= {'''train''': url}
       lowercase__      			= '''dummy'''
       lowercase__      			= '''downloads'''
       lowercase__      			= tmp_path
       lowercase__      			= DownloadConfig(
           cache_dir=os.path.join(A  , A       )  , use_etag=A  , )
       lowercase__      			= DownloadManager(dataset_name=A  , download_config=A       )
       lowercase__      			= dl_manager.download(A       )
       lowercase__      			= urls
       for downloaded_paths in [downloaded_paths]:
              if isinstance(A  , A       ):
                     lowercase__      			= [downloaded_paths]
                     lowercase__      			= [urls]
              elif isinstance(A  , A       ):
                     assert "train" in downloaded_paths.keys()
                     lowercase__      			= downloaded_paths.values()
                     lowercase__      			= urls.values()
              assert downloaded_paths
              for downloaded_path, input_url in zip(A  , A       ):
                     assert downloaded_path == dl_manager.downloaded_paths[input_url]
                     lowercase__      			= Path(A       )
                     lowercase__      			= downloaded_path.parts
                     assert parts[-1] == HASH
                     assert parts[-2] == cache_subdir
                     assert downloaded_path.exists()
                     lowercase__      			= downloaded_path.read_text()
                     assert content == CONTENT
                     lowercase__      			= downloaded_path.with_suffix('''.json'''       )
                     assert metadata_downloaded_path.exists()
                     lowercase__      			= json.loads(metadata_downloaded_path.read_text()       )
                     assert metadata_content == {"url": URL, "etag": None}

@pytest.mark.parametrize('''paths_type'''  , [str, list, dict]       )
def _SCREAMING_SNAKE_CASE      (A  , A  , A       )       ->       List[str]:






       """simple docstring"""







       lowercase__      			= str(A       )
       if issubclass(A  , A       ):
              lowercase__      			= filename
       elif issubclass(A  , A       ):
              lowercase__      			= [filename]
       elif issubclass(A  , A       ):
              lowercase__      			= {'''train''': filename}
       lowercase__      			= '''dummy'''
       lowercase__      			= xz_file.parent
       lowercase__      			= '''extracted'''
       lowercase__      			= DownloadConfig(
           cache_dir=A  , use_etag=A  , )
       lowercase__      			= DownloadManager(dataset_name=A  , download_config=A       )
       lowercase__      			= dl_manager.extract(A       )
       lowercase__      			= paths
       for extracted_paths in [extracted_paths]:
              if isinstance(A  , A       ):
                     lowercase__      			= [extracted_paths]
                     lowercase__      			= [paths]
              elif isinstance(A  , A       ):
                     assert "train" in extracted_paths.keys()
                     lowercase__      			= extracted_paths.values()
                     lowercase__      			= paths.values()
              assert extracted_paths
              for extracted_path, input_path in zip(A  , A       ):
                     assert extracted_path == dl_manager.extracted_paths[input_path]
                     lowercase__      			= Path(A       )
                     lowercase__      			= extracted_path.parts
                     assert parts[-1] == hash_url_to_filename(A  , etag=A       )
                     assert parts[-2] == extracted_subdir
                     assert extracted_path.exists()
                     lowercase__      			= extracted_path.read_text()
                     lowercase__      			= text_file.read_text()
                     assert extracted_file_content == expected_file_content

def _SCREAMING_SNAKE_CASE      (A  , A       )       ->       Any:






       """simple docstring"""







       assert path.endswith('''.jsonl'''       )
       for num_items, line in enumerate(A  , start=1       ):
              lowercase__      			= json.loads(line.decode('''utf-8'''       )       )
              assert item.keys() == {"col_1", "col_2", "col_3"}
       assert num_items == 4

@pytest.mark.parametrize('''archive_jsonl'''  , ['''tar_jsonl_path''', '''zip_jsonl_path''']       )
def _SCREAMING_SNAKE_CASE      (A  , A       )       ->       Any:






       """simple docstring"""







       lowercase__      			= request.getfixturevalue(A       )
       lowercase__      			= DownloadManager()
       for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(A       )  , start=1       ):
              _test_jsonl(A  , A       )
       assert num_jsonl == 2

@pytest.mark.parametrize('''archive_nested_jsonl'''  , ['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']       )
def _SCREAMING_SNAKE_CASE      (A  , A       )       ->       int:






       """simple docstring"""







       lowercase__      			= request.getfixturevalue(A       )
       lowercase__      			= DownloadManager()
       for num_tar, (path, file) in enumerate(dl_manager.iter_archive(A       )  , start=1       ):
              for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(A       )  , start=1       ):
                     _test_jsonl(A  , A       )
       assert num_tar == 1
       assert num_jsonl == 2

def _SCREAMING_SNAKE_CASE      (A       )       ->       Tuple:






       """simple docstring"""







       lowercase__      			= DownloadManager()
       for num_file, file in enumerate(dl_manager.iter_files(A       )  , start=1       ):
              assert os.path.basename(A       ) == ("test.txt" if num_file == 1 else "train.txt")
       assert num_file == 2






def 						UpperCAmelCase			(	a_						)		->	Optional[int]:







				"""simple docstring"""



				__A   			= [0] * len(a_						)
				__A   			= []
				__A   			= [1] * len(a_						)

				for values in graph.values():
								for i in values:
												indegree[i] += 1

				for i in range(len(a_						)						):
								if indegree[i] == 0:
												queue.append(a_						)

				while queue:
								__A   			= queue.pop(0						)
								for x in graph[vertex]:
												indegree[x] -= 1

												if long_dist[vertex] + 1 > long_dist[x]:
																__A   			= long_dist[vertex] + 1

												if indegree[x] == 0:
																queue.append(a_						)

				print(max(a_						)						)


# Adjacency list of Graph
SCREAMING_SNAKE_CASE							:List[Any]							 =				{0: [2, 3, 4], 1: [2, 7], 2: [5], 3: [5, 7], 4: [7], 5: [6], 6: [7], 7: []}
longest_distance(graph)
