





'''simple docstring'''

from abc import ABC, abstractmethod
from typing import List, Optional







class __a (   __SCREAMING_SNAKE_CASE			):





   def __init__(					self				:			List[Any]    ):

      '''simple docstring'''

      self.test()





   def      UpperCAmelCase__     (					self				:			List[Any]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       0
      __SCREAMING_SNAKE_CASE      							=       False
      while not completed:
         if counter == 1:
            self.reset()
         __SCREAMING_SNAKE_CASE      							=       self.advance()
         if not self.does_advance(_a    ):
            raise Exception(
                """Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."""    )

         __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.update(_a    )
         counter += 1

         if counter > 1_0000:
            raise Exception("""update() does not fulfill the constraint."""    )

      if self.remaining() != 0:
         raise Exception("""Custom Constraint is not defined correctly."""    )





   @abstractmethod
   def      UpperCAmelCase__     (					self				:			Any    ):

      '''simple docstring'''

      raise NotImplementedError(
          f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""    )





   @abstractmethod
   def      UpperCAmelCase__     (					self				:			List[str]				,lowerCamelCase				:			Tuple    ):

      '''simple docstring'''

      raise NotImplementedError(
          f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""    )





   @abstractmethod
   def      UpperCAmelCase__     (					self				:			Tuple				,lowerCamelCase				:			int    ):

      '''simple docstring'''

      raise NotImplementedError(
          f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""    )





   @abstractmethod
   def      UpperCAmelCase__     (					self				:			Any    ):

      '''simple docstring'''

      raise NotImplementedError(
          f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""    )





   @abstractmethod
   def      UpperCAmelCase__     (					self				:			Optional[Any]    ):

      '''simple docstring'''

      raise NotImplementedError(
          f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""    )





   @abstractmethod
   def      UpperCAmelCase__     (					self				:			Tuple				,lowerCamelCase				:			Dict=False    ):

      '''simple docstring'''

      raise NotImplementedError(
          f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""    )







class __a (   __SCREAMING_SNAKE_CASE			):





   def __init__(					self				:			str				,lowerCamelCase				:			List[str]    ):

      '''simple docstring'''

      super(_a				,self    ).__init__()

      if not isinstance(_a				,_a    ) or len(_a    ) == 0:
         raise ValueError(f"""`token_ids` has to be a non-empty list, but is {token_ids}."""    )
      if any((not isinstance(_a				,_a    ) or token_id < 0) for token_id in token_ids    ):
         raise ValueError(f"""Each list in `token_ids` has to be a list of positive integers, but is {token_ids}."""    )

      __SCREAMING_SNAKE_CASE      							=       token_ids

      __SCREAMING_SNAKE_CASE      							=       len(self.token_ids    )
      __SCREAMING_SNAKE_CASE      							=       -1  # the index of the currently fulfilled step
      __SCREAMING_SNAKE_CASE      							=       False





   def      UpperCAmelCase__     (					self				:			Any    ):

      '''simple docstring'''

      if self.completed:
         return None
      return self.token_ids[self.fulfilled_idx + 1]





   def      UpperCAmelCase__     (					self				:			int				,lowerCamelCase				:			Dict    ):

      '''simple docstring'''

      if not isinstance(_a				,_a    ):
         raise ValueError(f"""`token_id` has to be an `int`, but is {token_id} of type {type(_a    )}"""    )

      if self.completed:
         return False

      return token_id == self.token_ids[self.fulfilled_idx + 1]





   def      UpperCAmelCase__     (					self				:			str				,lowerCamelCase				:			Any    ):

      '''simple docstring'''

      if not isinstance(_a				,_a    ):
         raise ValueError(f"""`token_id` has to be an `int`, but is {token_id} of type {type(_a    )}"""    )

      __SCREAMING_SNAKE_CASE      							=       False
      __SCREAMING_SNAKE_CASE      							=       False
      __SCREAMING_SNAKE_CASE      							=       False

      if self.does_advance(_a    ):
         self.fulfilled_idx += 1
         __SCREAMING_SNAKE_CASE      							=       True
         if self.fulfilled_idx == (self.seqlen - 1):
            __SCREAMING_SNAKE_CASE      							=       True
         __SCREAMING_SNAKE_CASE      							=       completed
      else:
         # failed to make progress.
         __SCREAMING_SNAKE_CASE      							=       True
         self.reset()
      return stepped, completed, reset





   def      UpperCAmelCase__     (					self				:			Any    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       False
      __SCREAMING_SNAKE_CASE      							=       0





   def      UpperCAmelCase__     (					self				:			List[Any]    ):

      '''simple docstring'''

      return self.seqlen - (self.fulfilled_idx + 1)





   def      UpperCAmelCase__     (					self				:			List[str]				,lowerCamelCase				:			Optional[Any]=False    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       PhrasalConstraint(self.token_ids    )

      if stateful:
         __SCREAMING_SNAKE_CASE      							=       self.seqlen
         __SCREAMING_SNAKE_CASE      							=       self.fulfilled_idx
         __SCREAMING_SNAKE_CASE      							=       self.completed

      return new_constraint







class __a :





   def __init__(					self				:			Union[str, Any]				,lowerCamelCase				:			int				,lowerCamelCase				:			Any=True    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       max([len(_a    ) for one in nested_token_ids]    )

      __SCREAMING_SNAKE_CASE      							=       {}
      for token_ids in nested_token_ids:
         __SCREAMING_SNAKE_CASE      							=       root
         for tidx, token_id in enumerate(_a    ):
            if token_id not in level:
               __SCREAMING_SNAKE_CASE      							=       {}

            __SCREAMING_SNAKE_CASE      							=       level[token_id]

      if no_subsets and self.has_subsets(_a				,_a    ):
         raise ValueError(
             """Each list in `nested_token_ids` can\'t be a complete subset of another list, but is"""
             f""" {nested_token_ids}."""    )

      __SCREAMING_SNAKE_CASE      							=       root





   def      UpperCAmelCase__     (					self				:			int				,lowerCamelCase				:			Dict    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       self.trie

      for current_token in current_seq:
         __SCREAMING_SNAKE_CASE      							=       start[current_token]

      __SCREAMING_SNAKE_CASE      							=       list(start.keys()    )

      return next_tokens





   def      UpperCAmelCase__     (					self				:			Dict				,lowerCamelCase				:			List[str]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       self.next_tokens(_a    )

      return len(_a    ) == 0





   def      UpperCAmelCase__     (					self				:			List[str]				,lowerCamelCase				:			str    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       list(root.values()    )
      if len(_a    ) == 0:
         return 1
      else:
         return sum([self.count_leaves(_a    ) for nn in next_nodes]    )





   def      UpperCAmelCase__     (					self				:			str				,lowerCamelCase				:			Any				,lowerCamelCase				:			Optional[int]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       self.count_leaves(_a    )
      return len(_a    ) != leaf_count







class __a (   __SCREAMING_SNAKE_CASE			):





   def __init__(					self				:			Dict				,lowerCamelCase				:			List[str]    ):

      '''simple docstring'''

      super(_a				,self    ).__init__()

      if not isinstance(_a				,_a    ) or len(_a    ) == 0:
         raise ValueError(f"""`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}."""    )
      if any(not isinstance(_a				,_a    ) for token_ids in nested_token_ids    ):
         raise ValueError(f"""`nested_token_ids` has to be a list of lists, but is {nested_token_ids}."""    )
      if any(
          any((not isinstance(_a				,_a    ) or token_id < 0) for token_id in token_ids    )
          for token_ids in nested_token_ids    ):
         raise ValueError(
             f"""Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}."""    )

      __SCREAMING_SNAKE_CASE      							=       DisjunctiveTrie(_a    )
      __SCREAMING_SNAKE_CASE      							=       nested_token_ids

      __SCREAMING_SNAKE_CASE      							=       self.trie.max_height
      __SCREAMING_SNAKE_CASE      							=       []
      __SCREAMING_SNAKE_CASE      							=       False





   def      UpperCAmelCase__     (					self				:			List[Any]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       self.trie.next_tokens(self.current_seq    )

      if len(_a    ) == 0:
         return None
      else:
         return token_list





   def      UpperCAmelCase__     (					self				:			Optional[Any]				,lowerCamelCase				:			int    ):

      '''simple docstring'''

      if not isinstance(_a				,_a    ):
         raise ValueError(f"""`token_id` is supposed to be type `int`, but is {token_id} of type {type(_a    )}"""    )

      __SCREAMING_SNAKE_CASE      							=       self.trie.next_tokens(self.current_seq    )

      return token_id in next_tokens





   def      UpperCAmelCase__     (					self				:			Optional[Any]				,lowerCamelCase				:			int    ):

      '''simple docstring'''

      if not isinstance(_a				,_a    ):
         raise ValueError(f"""`token_id` is supposed to be type `int`, but is {token_id} of type {type(_a    )}"""    )

      __SCREAMING_SNAKE_CASE      							=       False
      __SCREAMING_SNAKE_CASE      							=       False
      __SCREAMING_SNAKE_CASE      							=       False

      if self.does_advance(_a    ):
         self.current_seq.append(_a    )
         __SCREAMING_SNAKE_CASE      							=       True
      else:
         __SCREAMING_SNAKE_CASE      							=       True
         self.reset()

      __SCREAMING_SNAKE_CASE      							=       self.trie.reached_leaf(self.current_seq    )
      __SCREAMING_SNAKE_CASE      							=       completed

      return stepped, completed, reset





   def      UpperCAmelCase__     (					self				:			List[Any]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       False
      __SCREAMING_SNAKE_CASE      							=       []





   def      UpperCAmelCase__     (					self				:			Any    ):

      '''simple docstring'''

      if self.completed:
         # since this can be completed without reaching max height
         return 0
      else:
         return self.seqlen - len(self.current_seq    )





   def      UpperCAmelCase__     (					self				:			Union[str, Any]				,lowerCamelCase				:			Union[str, Any]=False    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       DisjunctiveConstraint(self.token_ids    )

      if stateful:
         __SCREAMING_SNAKE_CASE      							=       self.seqlen
         __SCREAMING_SNAKE_CASE      							=       self.current_seq
         __SCREAMING_SNAKE_CASE      							=       self.completed

      return new_constraint







class __a :





   def __init__(					self				:			Optional[Any]				,lowerCamelCase				:			Tuple    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       constraints

      # max # of steps required to fulfill a given constraint
      __SCREAMING_SNAKE_CASE      							=       max([c.seqlen for c in constraints]    )
      __SCREAMING_SNAKE_CASE      							=       len(_a    )
      __SCREAMING_SNAKE_CASE      							=       False

      self.init_state()





   def      UpperCAmelCase__     (					self				:			Optional[Any]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       []
      __SCREAMING_SNAKE_CASE      							=       None
      __SCREAMING_SNAKE_CASE      							=       [constraint.copy(stateful=_a    ) for constraint in self.constraints]





   def      UpperCAmelCase__     (					self				:			Optional[Any]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       0
      if self.inprogress_constraint:
         # extra points for having a constraint mid-fulfilled
         add += self.max_seqlen - self.inprogress_constraint.remaining()

      return (len(self.complete_constraints    ) * self.max_seqlen) + add





   def      UpperCAmelCase__     (					self				:			Dict    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       []
      if self.inprogress_constraint is None:
         for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
            __SCREAMING_SNAKE_CASE      							=       constraint.advance()
            if isinstance(_a				,_a    ):
               token_list.append(_a    )
            elif isinstance(_a				,_a    ):
               token_list.extend(_a    )
      else:
         __SCREAMING_SNAKE_CASE      							=       self.inprogress_constraint.advance()
         if isinstance(_a				,_a    ):
            token_list.append(_a    )
         elif isinstance(_a				,_a    ):
            token_list.extend(_a    )

      if len(_a    ) == 0:
         return None
      else:
         return token_list





   def      UpperCAmelCase__     (					self				:			int				,lowerCamelCase				:			Optional[Any]    ):

      '''simple docstring'''

      self.init_state()

      if token_ids is not None:
         for token in token_ids:
            # completes or steps **one** constraint
            __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.add(_a    )

            # the entire list of constraints are fulfilled
            if self.completed:
               break





   def      UpperCAmelCase__     (					self				:			int				,lowerCamelCase				:			Tuple    ):

      '''simple docstring'''

      if not isinstance(_a				,_a    ):
         raise ValueError(f"""`token_id` should be an `int`, but is `{token_id}`."""    )

      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       False, False

      if self.completed:
         __SCREAMING_SNAKE_CASE      							=       True
         __SCREAMING_SNAKE_CASE      							=       False
         return complete, stepped

      if self.inprogress_constraint is not None:
         # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
         # job, simply update the state

         __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.inprogress_constraint.update(_a    )
         if reset:
            # 1. If the next token breaks the progress, then we must restart.
            #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

            #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
            #     constraint, not the full list of constraints.

            self.pending_constraints.append(self.inprogress_constraint.copy(stateful=_a    )    )
            __SCREAMING_SNAKE_CASE      							=       None

         if complete:
            # 2. If the next token completes the constraint, move it to completed list, set
            #     inprogress to None. If there are no pending constraints either, then this full list of constraints
            #     is complete.

            self.complete_constraints.append(self.inprogress_constraint    )
            __SCREAMING_SNAKE_CASE      							=       None

            if len(self.pending_constraints    ) == 0:
               # we're done!
               __SCREAMING_SNAKE_CASE      							=       True

      else:
         # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
         # of constraints?

         for cidx, pending_constraint in enumerate(self.pending_constraints    ):
            if pending_constraint.does_advance(_a    ):
               __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       pending_constraint.update(_a    )

               if not stepped:
                  raise Exception(
                      """`constraint.update(token_id)` is not yielding incremental progress, """
                      """even though `constraint.does_advance(token_id)` is true."""    )

               if complete:
                  self.complete_constraints.append(_a    )
                  __SCREAMING_SNAKE_CASE      							=       None

               if not complete and stepped:
                  __SCREAMING_SNAKE_CASE      							=       pending_constraint

               if complete or stepped:
                  # If we made any progress at all, then it's at least not a "pending constraint".

                  __SCREAMING_SNAKE_CASE      							=       (
                      self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
                  )

                  if len(self.pending_constraints    ) == 0 and self.inprogress_constraint is None:
                     # If there's no longer any pending after this and no inprogress either, then we must be
                     # complete.

                     __SCREAMING_SNAKE_CASE      							=       True

                  break  # prevent accidentally stepping through multiple constraints with just one token.

      return complete, stepped





   def      UpperCAmelCase__     (					self				:			int				,lowerCamelCase				:			Optional[Any]=True    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       ConstraintListState(self.constraints    )  # we actually never though self.constraints objects
      # throughout this process. So it's at initialization state.

      if stateful:
         __SCREAMING_SNAKE_CASE      							=       [
             constraint.copy(stateful=_a    ) for constraint in self.complete_constraints
         ]
         if self.inprogress_constraint is not None:
            __SCREAMING_SNAKE_CASE      							=       self.inprogress_constraint.copy(stateful=_a    )
         __SCREAMING_SNAKE_CASE      							=       [constraint.copy() for constraint in self.pending_constraints]

      return new_state












'''simple docstring'''

import time
from contextlib import contextmanager
from pathlib import Path

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


a        =						"__DUMMY_TRANSFORMERS_USER__"
a        =						"Dummy User"
a        =						"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"

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

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase      )						->					int:

   '''simple docstring'''







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

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase      )						->					Optional[Any]:

   '''simple docstring'''







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

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase      )						->					Optional[Any]:

   '''simple docstring'''







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

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   HfFolder.save_token(__UpperCAmelCase      )
   yield
   HfFolder.delete_token()

@pytest.fixture(scope="""session"""      )
def 						__magic_name__       (							)						->					Optional[Any]:

   '''simple docstring'''







   return HfApi(endpoint=__UpperCAmelCase      )

@pytest.fixture(scope="""session"""      )
def 						__magic_name__       (							__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       HfFolder.get_token()
   HfFolder.save_token(__UpperCAmelCase      )
   yield CI_HUB_USER_TOKEN
   if previous_token is not None:
      HfFolder.save_token(__UpperCAmelCase      )

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







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

   return _cleanup_repo

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase      )						->					int:

   '''simple docstring'''







   @contextmanager
   def _temporary_repo(__UpperCAmelCase      ):
      try:
         yield repo_id
      finally:
         cleanup_repo(__UpperCAmelCase      )

   return _temporary_repo

@pytest.fixture(scope="""session"""      )
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       f"""repo_txt_data-{int(time.time() * 1_0e3      )}"""
   __SCREAMING_SNAKE_CASE      							=       f"""{CI_HUB_USER}/{repo_name}"""
   hf_api.create_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""							,	private=__UpperCAmelCase      )
   hf_api.upload_file(
       token=__UpperCAmelCase							,	path_or_fileobj=str(__UpperCAmelCase      )							,	path_in_repo="""data/text_data.txt"""							,	repo_id=__UpperCAmelCase							,	repo_type="""dataset"""							,	)
   yield repo_id
   try:
      hf_api.delete_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""      )
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass

@pytest.fixture()
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Optional[Any]:

   '''simple docstring'''







   return hf_private_dataset_repo_txt_data_

@pytest.fixture(scope="""session"""      )
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       f"""repo_zipped_txt_data-{int(time.time() * 1_0e3      )}"""
   __SCREAMING_SNAKE_CASE      							=       f"""{CI_HUB_USER}/{repo_name}"""
   hf_api.create_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""							,	private=__UpperCAmelCase      )
   hf_api.upload_file(
       token=__UpperCAmelCase							,	path_or_fileobj=str(__UpperCAmelCase      )							,	path_in_repo="""data.zip"""							,	repo_id=__UpperCAmelCase							,	repo_type="""dataset"""							,	)
   yield repo_id
   try:
      hf_api.delete_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""      )
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass

@pytest.fixture()
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Tuple:

   '''simple docstring'''







   return hf_private_dataset_repo_zipped_txt_data_

@pytest.fixture(scope="""session"""      )
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Union[str, Any]:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       f"""repo_zipped_img_data-{int(time.time() * 1_0e3      )}"""
   __SCREAMING_SNAKE_CASE      							=       f"""{CI_HUB_USER}/{repo_name}"""
   hf_api.create_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""							,	private=__UpperCAmelCase      )
   hf_api.upload_file(
       token=__UpperCAmelCase							,	path_or_fileobj=str(__UpperCAmelCase      )							,	path_in_repo="""data.zip"""							,	repo_id=__UpperCAmelCase							,	repo_type="""dataset"""							,	)
   yield repo_id
   try:
      hf_api.delete_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""      )
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass







@pytest.fixture()
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   return hf_private_dataset_repo_zipped_img_data_





