


"""simple docstring"""


import time
from contextlib import contextmanager
from pathlib import Path

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


UpperCamelCase						:				List[str]             =      "__DUMMY_TRANSFORMERS_USER__"
UpperCamelCase						:				Optional[int]             =      "Dummy User"
UpperCamelCase						:				Union[str, Any]             =      "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"

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







@pytest.fixture
def  __snake_case       (   UpperCamelCase__	)      ->		Optional[int]:







		"""simple docstring"""





		monkeypatch.setattr(
		    'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE' ,			UpperCamelCase__	)







@pytest.fixture
def  __snake_case       (   UpperCamelCase__	)      ->		str:







		"""simple docstring"""





		monkeypatch.setattr('datasets.config.HF_ENDPOINT' ,			UpperCamelCase__	)
		monkeypatch.setattr('datasets.config.HUB_DATASETS_URL' ,			UpperCamelCase__	)







@pytest.fixture
def  __snake_case       (   UpperCamelCase__	)      ->		Dict:







		"""simple docstring"""





		monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token' ,			UpperCamelCase__	)







@pytest.fixture
def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__	)      ->		int:







		"""simple docstring"""





		HfFolder.save_token(UpperCamelCase__	)
		yield
		HfFolder.delete_token()







@pytest.fixture(scope='session'	)
def  __snake_case       (   )      ->		Optional[int]:







		"""simple docstring"""





		return HfApi(endpoint=UpperCamelCase__	)







@pytest.fixture(scope='session'	)
def  __snake_case       (   UpperCamelCase__	)      ->		Union[str, Any]:







		"""simple docstring"""





		A					       = 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  __snake_case       (   UpperCamelCase__	)      ->		Tuple:







		"""simple docstring"""





		def _cleanup_repo(UpperCamelCase__	):
				hf_api.delete_repo(UpperCamelCase__ ,			token=UpperCamelCase__ ,			repo_type='dataset'	)

		return _cleanup_repo







@pytest.fixture
def  __snake_case       (   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  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__	)      ->		List[Any]:







		"""simple docstring"""





		A					       = f'repo_txt_data-{int(time.time() * 10E3	)}'
		A					       = 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  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__	)      ->		List[Any]:







		"""simple docstring"""





		return hf_private_dataset_repo_txt_data_







@pytest.fixture(scope='session'	)
def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__	)      ->		Tuple:







		"""simple docstring"""





		A					       = f'repo_zipped_txt_data-{int(time.time() * 10E3	)}'
		A					       = 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  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__	)      ->		List[str]:







		"""simple docstring"""





		return hf_private_dataset_repo_zipped_txt_data_







@pytest.fixture(scope='session'	)
def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__	)      ->		Union[str, Any]:







		"""simple docstring"""





		A					       = f'repo_zipped_img_data-{int(time.time() * 10E3	)}'
		A					       = 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  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__	)      ->		Tuple:







		"""simple docstring"""





		return hf_private_dataset_repo_zipped_img_data_









"""simple docstring"""


from math import factorial







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__	)      ->		float:







		"""simple docstring"""





		if successes > trials:
				raise ValueError('successes must be lower or equal to trials'	)
		if trials < 0 or successes < 0:
				raise ValueError('the function is defined for non-negative integers'	)
		if not isinstance(UpperCamelCase__ ,			UpperCamelCase__	) or not isinstance(UpperCamelCase__ ,			UpperCamelCase__	):
				raise ValueError('the function is defined for non-negative integers'	)
		if not 0 < prob < 1:
				raise ValueError('prob has to be in range of 1 - 0'	)
		A					       = (prob**successes) * ((1 - prob) ** (trials - successes))
		# Calculate the binomial coefficient: n! / k!(n-k)!
		A					       = float(factorial(UpperCamelCase__	)	)
		coefficient /= factorial(UpperCamelCase__	) * factorial(trials - successes	)
		return probability * coefficient


if __name__ == "__main__":
	from doctest import testmod

	testmod()
	print("Probability of 2 successes out of 4 trails")
	print("with probability of 0.75 is:", end=" ")
	print(binomial_distribution(2, 4, 0.75))





