
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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase_						     =					{
    '''configuration_git''': ['''GIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GitConfig''', '''GitVisionConfig'''],
    '''processing_git''': ['''GitProcessor'''],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_						     =					[
        '''GIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''GitForCausalLM''',
        '''GitModel''',
        '''GitPreTrainedModel''',
        '''GitVisionModel''',
    ]

if TYPE_CHECKING:
    from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
    from .processing_git import GitProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_git import (
            GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GitForCausalLM,
            GitModel,
            GitPreTrainedModel,
            GitVisionModel,
        )

else:
    import sys

    lowerCamelCase_						     =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





