'''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   :	List[Any] 							=   "__DUMMY_TRANSFORMERS_USER__"
_a   :	str 							=   "Dummy User"
_a   :	str 							=   "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"

_a   :	Optional[Any] 							=   "https://hub-ci.huggingface.co"
_a   :	List[str] 							=   CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}"
_a   :	List[Any] 							=   CI_HUB_ENDPOINT + "/{repo_id}/resolve/{revision}/{filename}"
_a   :	List[str] 							=   Path("~/.huggingface/hub_ci_token").expanduser()

@pytest.fixture
def _lowercase	(      lowerCamelCase__						)					->       Optional[Any]:





       """simple docstring"""


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

@pytest.fixture
def _lowercase	(      lowerCamelCase__						)					->       int:





       """simple docstring"""


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

@pytest.fixture
def _lowercase	(      lowerCamelCase__						)					->       Optional[Any]:





       """simple docstring"""


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

@pytest.fixture
def _lowercase	(      lowerCamelCase__							,    lowerCamelCase__						)					->       Dict:





       """simple docstring"""


       HfFolder.save_token(lowerCamelCase__						)
       yield
       HfFolder.delete_token()

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





       """simple docstring"""


       return HfApi(endpoint=lowerCamelCase__						)

@pytest.fixture(scope="session"						)
def _lowercase	(      lowerCamelCase__						)					->       Tuple:





       """simple docstring"""


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

@pytest.fixture
def _lowercase	(      lowerCamelCase__						)					->       Optional[int]:





       """simple docstring"""


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

       return _cleanup_repo

@pytest.fixture
def _lowercase	(      lowerCamelCase__						)					->       Optional[int]:





       """simple docstring"""


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

       return _temporary_repo

@pytest.fixture(scope="session"						)
def _lowercase	(      lowerCamelCase__							,    lowerCamelCase__							,    lowerCamelCase__						)					->       Any:





       """simple docstring"""


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

@pytest.fixture()
def _lowercase	(      lowerCamelCase__							,    lowerCamelCase__							,    lowerCamelCase__						)					->       int:





       """simple docstring"""


       return hf_private_dataset_repo_txt_data_

@pytest.fixture(scope="session"						)
def _lowercase	(      lowerCamelCase__							,    lowerCamelCase__							,    lowerCamelCase__						)					->       str:





       """simple docstring"""


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

@pytest.fixture()
def _lowercase	(      lowerCamelCase__							,    lowerCamelCase__							,    lowerCamelCase__						)					->       Any:





       """simple docstring"""


       return hf_private_dataset_repo_zipped_txt_data_

@pytest.fixture(scope="session"						)
def _lowercase	(      lowerCamelCase__							,    lowerCamelCase__							,    lowerCamelCase__						)					->       List[str]:





       """simple docstring"""


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


@pytest.fixture()
def _lowercase	(      lowerCamelCase__							,    lowerCamelCase__							,    lowerCamelCase__						)					->       List[str]:





       """simple docstring"""


       return hf_private_dataset_repo_zipped_img_data_







'''simple docstring'''




import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
   import torch

   from transformers.generation import (
       MaxLengthCriteria,
       MaxNewTokensCriteria,
       MaxTimeCriteria,
       StoppingCriteriaList,
       validate_stopping_criteria,
   )






@require_torch
class 		__A       (unittest.TestCase   ):






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				List[str]       				=		3
              __UpperCAmelCase  :				Tuple       				=		2_50

              __UpperCAmelCase  :				str       				=		ids_tensor((batch_size, length)				,     UpperCamelCase_      )
              __UpperCAmelCase  :				Any       				=		torch.ones((batch_size, length)				,     device=UpperCamelCase_				,     dtype=torch.float      ) / length
              return input_ids, scores






       def 			_snake_case						(      self      ):
              __UpperCAmelCase				, __UpperCAmelCase  :				Tuple       				=		self._get_tensors(5      )

              __UpperCAmelCase  :				Tuple       				=		StoppingCriteriaList(
                  [
                      MaxLengthCriteria(max_length=10      ),
                      MaxTimeCriteria(max_time=0.1      ),
                  ]      )

              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				int       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[int]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				int       				=		MaxLengthCriteria(max_length=10      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Tuple       				=		self._get_tensors(5      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Dict       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[int]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				Optional[Any]       				=		MaxNewTokensCriteria(start_length=5				,     max_new_tokens=5      )

              __UpperCAmelCase				, __UpperCAmelCase  :				List[str]       				=		self._get_tensors(5      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Dict       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[Any]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase  :				Union[str, Any]       				=		StoppingCriteriaList([criteria]      )
              self.assertEqual(criteria_list.max_length				,     10      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[Any]       				=		self._get_tensors(5      )

              __UpperCAmelCase  :				str       				=		MaxTimeCriteria(max_time=0.1      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase  :				str       				=		MaxTimeCriteria(max_time=0.1				,     initial_timestamp=time.time() - 0.2      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )







       def 			_snake_case						(      self      ):
              validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10      )]      )				,     10      )

              with self.assertWarns(UpperCamelCase_      ):
                     validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10      )]      )				,     11      )

              __UpperCAmelCase  :				Optional[int]       				=		validate_stopping_criteria(StoppingCriteriaList()				,     11      )

              self.assertEqual(len(UpperCamelCase_      )				,     1      )






