

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     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						monkeypatch.setattr(
						    '''huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'''    ,						SCREAMING_SNAKE_CASE__			)


@pytest.fixture
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						monkeypatch.setattr('''datasets.config.HF_ENDPOINT'''    ,						SCREAMING_SNAKE_CASE__			)
						monkeypatch.setattr('''datasets.config.HUB_DATASETS_URL'''    ,						SCREAMING_SNAKE_CASE__			)


@pytest.fixture
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						monkeypatch.setattr('''huggingface_hub.hf_api.HfFolder.path_token'''    ,						SCREAMING_SNAKE_CASE__			)


@pytest.fixture
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						HfFolder.save_token(SCREAMING_SNAKE_CASE__			)
						yield
						HfFolder.delete_token()


@pytest.fixture(scope='''session'''			)
def     __SCREAMING_SNAKE_CASE   ():
						return HfApi(endpoint=SCREAMING_SNAKE_CASE__			)


@pytest.fixture(scope='''session'''			)
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						snake_case_  =      HfFolder.get_token()
						HfFolder.save_token(SCREAMING_SNAKE_CASE__			)
						yield CI_HUB_USER_TOKEN
						if previous_token is not None:
												HfFolder.save_token(SCREAMING_SNAKE_CASE__			)


@pytest.fixture
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						def _cleanup_repo(SCREAMING_SNAKE_CASE__			):
												hf_api.delete_repo(SCREAMING_SNAKE_CASE__    ,						token=SCREAMING_SNAKE_CASE__    ,						repo_type='''dataset'''			)

						return _cleanup_repo


@pytest.fixture
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						@contextmanager
						def _temporary_repo(SCREAMING_SNAKE_CASE__			):
												try:
																		yield repo_id
												finally:
																		cleanup_repo(SCREAMING_SNAKE_CASE__			)

						return _temporary_repo


@pytest.fixture(scope='''session'''			)
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						snake_case_  =      F'''repo_txt_data-{int(time.time() * 10E3			)}'''
						snake_case_  =      F'''{CI_HUB_USER}/{repo_name}'''
						hf_api.create_repo(SCREAMING_SNAKE_CASE__    ,						token=SCREAMING_SNAKE_CASE__    ,						repo_type='''dataset'''    ,						private=SCREAMING_SNAKE_CASE__			)
						hf_api.upload_file(
						    token=SCREAMING_SNAKE_CASE__    ,						path_or_fileobj=str(SCREAMING_SNAKE_CASE__			)    ,						path_in_repo='''data/text_data.txt'''    ,						repo_id=SCREAMING_SNAKE_CASE__    ,						repo_type='''dataset'''    ,						)
						yield repo_id
						try:
												hf_api.delete_repo(SCREAMING_SNAKE_CASE__    ,						token=SCREAMING_SNAKE_CASE__    ,						repo_type='''dataset'''			)
						except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
												pass


@pytest.fixture()
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						return hf_private_dataset_repo_txt_data_


@pytest.fixture(scope='''session'''			)
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						snake_case_  =      F'''repo_zipped_txt_data-{int(time.time() * 10E3			)}'''
						snake_case_  =      F'''{CI_HUB_USER}/{repo_name}'''
						hf_api.create_repo(SCREAMING_SNAKE_CASE__    ,						token=SCREAMING_SNAKE_CASE__    ,						repo_type='''dataset'''    ,						private=SCREAMING_SNAKE_CASE__			)
						hf_api.upload_file(
						    token=SCREAMING_SNAKE_CASE__    ,						path_or_fileobj=str(SCREAMING_SNAKE_CASE__			)    ,						path_in_repo='''data.zip'''    ,						repo_id=SCREAMING_SNAKE_CASE__    ,						repo_type='''dataset'''    ,						)
						yield repo_id
						try:
												hf_api.delete_repo(SCREAMING_SNAKE_CASE__    ,						token=SCREAMING_SNAKE_CASE__    ,						repo_type='''dataset'''			)
						except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
												pass


@pytest.fixture()
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						return hf_private_dataset_repo_zipped_txt_data_


@pytest.fixture(scope='''session'''			)
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						snake_case_  =      F'''repo_zipped_img_data-{int(time.time() * 10E3			)}'''
						snake_case_  =      F'''{CI_HUB_USER}/{repo_name}'''
						hf_api.create_repo(SCREAMING_SNAKE_CASE__    ,						token=SCREAMING_SNAKE_CASE__    ,						repo_type='''dataset'''    ,						private=SCREAMING_SNAKE_CASE__			)
						hf_api.upload_file(
						    token=SCREAMING_SNAKE_CASE__    ,						path_or_fileobj=str(SCREAMING_SNAKE_CASE__			)    ,						path_in_repo='''data.zip'''    ,						repo_id=SCREAMING_SNAKE_CASE__    ,						repo_type='''dataset'''    ,						)
						yield repo_id
						try:
												hf_api.delete_repo(SCREAMING_SNAKE_CASE__    ,						token=SCREAMING_SNAKE_CASE__    ,						repo_type='''dataset'''			)
						except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
												pass


@pytest.fixture()
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						return hf_private_dataset_repo_zipped_img_data_

lowerCamelCase__     :		List[str]        = """
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

lowerCamelCase__     :		List[Any]        = [{"""type""": """code""", """content""": INSTALL_CONTENT}]
lowerCamelCase__     :		int        = {
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}






