
import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


lowerCamelCase_						     =					'''__DUMMY_TRANSFORMERS_USER__'''
lowerCamelCase_						     =					'''Dummy User'''
lowerCamelCase_						     =					'''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'''

lowerCamelCase_						     =					'''https://hub-ci.huggingface.co'''
lowerCamelCase_						     =					CI_HUB_ENDPOINT + '''/datasets/{repo_id}/resolve/{revision}/{path}'''
lowerCamelCase_						     =					CI_HUB_ENDPOINT + '''/{repo_id}/resolve/{revision}/{filename}'''
lowerCamelCase_						     =					Path('''~/.huggingface/hub_ci_token''').expanduser()






@pytest.fixture
def 						__magic_name__			(   __a      :	Optional[int]						):



     '''simple docstring'''




     monkeypatch.setattr(
         """huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"""	,		__a						)






@pytest.fixture
def 						__magic_name__			(   __a      :	Union[str, Any]						):



     '''simple docstring'''




     monkeypatch.setattr("""datasets.config.HF_ENDPOINT"""	,		__a						)
     monkeypatch.setattr("""datasets.config.HUB_DATASETS_URL"""	,		__a						)






@pytest.fixture
def 						__magic_name__			(   __a      :	Optional[int]						):



     '''simple docstring'''




     monkeypatch.setattr("""huggingface_hub.hf_api.HfFolder.path_token"""	,		__a						)






@pytest.fixture
def 						__magic_name__			(   __a      :	Union[str, Any]	,		__a      :	Tuple						):



     '''simple docstring'''




     HfFolder.save_token(__a						)
     yield
     HfFolder.delete_token()






@pytest.fixture(scope="""session"""						)
def 						__magic_name__			(   ):



     '''simple docstring'''




     return HfApi(endpoint=__a						)






@pytest.fixture(scope="""session"""						)
def 						__magic_name__			(   __a      :	HfApi						):



     '''simple docstring'''




     UpperCamelCase__				=    HfFolder.get_token()
     HfFolder.save_token(__a						)
     yield CI_HUB_USER_TOKEN
     if previous_token is not None:
          HfFolder.save_token(__a						)






@pytest.fixture
def 						__magic_name__			(   __a      :	List[Any]						):



     '''simple docstring'''




     def _cleanup_repo(__a      :	Any						):
          hf_api.delete_repo(__a	,		token=__a	,		repo_type="""dataset"""						)

     return _cleanup_repo






@pytest.fixture
def 						__magic_name__			(   __a      :	Any						):



     '''simple docstring'''




     @contextmanager
     def _temporary_repo(__a      :	Optional[int]						):
          try:
               yield repo_id
          finally:
               cleanup_repo(__a						)

     return _temporary_repo






@pytest.fixture(scope="""session"""						)
def 						__magic_name__			(   __a      :	HfApi	,		__a      :	str	,		__a      :	int						):



     '''simple docstring'''




     UpperCamelCase__				=    f"repo_txt_data-{int(time.time() * 1_0E3						)}"
     UpperCamelCase__				=    f"{CI_HUB_USER}/{repo_name}"
     hf_api.create_repo(__a	,		token=__a	,		repo_type="""dataset"""	,		private=__a						)
     hf_api.upload_file(
         token=__a	,		path_or_fileobj=str(__a						)	,		path_in_repo="""data/text_data.txt"""	,		repo_id=__a	,		repo_type="""dataset"""	,		)
     yield repo_id
     try:
          hf_api.delete_repo(__a	,		token=__a	,		repo_type="""dataset"""						)
     except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
          pass






@pytest.fixture()
def 						__magic_name__			(   __a      :	Union[str, Any]	,		__a      :	List[Any]	,		__a      :	Dict						):



     '''simple docstring'''




     return hf_private_dataset_repo_txt_data_






@pytest.fixture(scope="""session"""						)
def 						__magic_name__			(   __a      :	HfApi	,		__a      :	List[str]	,		__a      :	Union[str, Any]						):



     '''simple docstring'''




     UpperCamelCase__				=    f"repo_zipped_txt_data-{int(time.time() * 1_0E3						)}"
     UpperCamelCase__				=    f"{CI_HUB_USER}/{repo_name}"
     hf_api.create_repo(__a	,		token=__a	,		repo_type="""dataset"""	,		private=__a						)
     hf_api.upload_file(
         token=__a	,		path_or_fileobj=str(__a						)	,		path_in_repo="""data.zip"""	,		repo_id=__a	,		repo_type="""dataset"""	,		)
     yield repo_id
     try:
          hf_api.delete_repo(__a	,		token=__a	,		repo_type="""dataset"""						)
     except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
          pass






@pytest.fixture()
def 						__magic_name__			(   __a      :	Optional[Any]	,		__a      :	List[Any]	,		__a      :	int						):



     '''simple docstring'''




     return hf_private_dataset_repo_zipped_txt_data_






@pytest.fixture(scope="""session"""						)
def 						__magic_name__			(   __a      :	HfApi	,		__a      :	int	,		__a      :	Optional[int]						):



     '''simple docstring'''




     UpperCamelCase__				=    f"repo_zipped_img_data-{int(time.time() * 1_0E3						)}"
     UpperCamelCase__				=    f"{CI_HUB_USER}/{repo_name}"
     hf_api.create_repo(__a	,		token=__a	,		repo_type="""dataset"""	,		private=__a						)
     hf_api.upload_file(
         token=__a	,		path_or_fileobj=str(__a						)	,		path_in_repo="""data.zip"""	,		repo_id=__a	,		repo_type="""dataset"""	,		)
     yield repo_id
     try:
          hf_api.delete_repo(__a	,		token=__a	,		repo_type="""dataset"""						)
     except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
          pass






@pytest.fixture()
def 						__magic_name__			(   __a      :	int	,		__a      :	Any	,		__a      :	List[Any]						):



     '''simple docstring'''




     return hf_private_dataset_repo_zipped_img_data_







from __future__ import annotations

from collections import Counter
from random import random




class      __A:

  """simple docstring"""







  def __init__(self						):
       UpperCamelCase__				=    {}







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
       UpperCamelCase__				=    {}







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_						):
       if nodea not in self.connections:
            self.add_node(SCREAMING_SNAKE_CASE_						)
       if nodea not in self.connections:
            self.add_node(SCREAMING_SNAKE_CASE_						)
       UpperCamelCase__				=    probability







  def 	UpperCAmelCase_ (self						):
       return list(self.connections						)







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
       UpperCamelCase__				=    0
       UpperCamelCase__				=    random()

       for dest in self.connections[node]:
            current_probability += self.connections[node][dest]
            if current_probability > random_value:
                 return dest
       return ""






def 						__magic_name__			(   __a      :	str	,		__a      :	list[tuple[str, str, float]]	,		__a      :	int						):



     '''simple docstring'''




     UpperCamelCase__				=    MarkovChainGraphUndirectedUnweighted()

     for nodea, nodea, probability in transitions:
          graph.add_transition_probability(__a	,		__a	,		__a						)

     UpperCamelCase__				=    Counter(graph.get_nodes()						)
     UpperCamelCase__				=    start

     for _ in range(__a						):
          UpperCamelCase__				=    graph.transition(__a						)
          visited[node] += 1

     return visited


if __name__ == "__main__":
    import doctest

    doctest.testmod()





