





import time
from contextlib import contextmanager
from pathlib import Path

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


UpperCamelCase__  			='__DUMMY_TRANSFORMERS_USER__'
UpperCamelCase__  			='Dummy User'
UpperCamelCase__  			='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'

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






@pytest.fixture
def      lowerCamelCase__      (__lowerCamelCase						):
     monkeypatch.setattr(
         "huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE",							A__						)






@pytest.fixture
def      lowerCamelCase__      (__lowerCamelCase						):
     monkeypatch.setattr("datasets.config.HF_ENDPOINT",							A__						)
     monkeypatch.setattr("datasets.config.HUB_DATASETS_URL",							A__						)






@pytest.fixture
def      lowerCamelCase__      (__lowerCamelCase						):
     monkeypatch.setattr("huggingface_hub.hf_api.HfFolder.path_token",							A__						)






@pytest.fixture
def      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase						):
     HfFolder.save_token(A__						)
     yield
     HfFolder.delete_token()






@pytest.fixture(scope="session"						)
def      lowerCamelCase__      ():
     return HfApi(endpoint=A__						)






@pytest.fixture(scope="session"						)
def      lowerCamelCase__      (__lowerCamelCase						):
     _SCREAMING_SNAKE_CASE							:						Optional[Any]         =				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      lowerCamelCase__      (__lowerCamelCase						):
     def _cleanup_repo(__lowerCamelCase						):
          hf_api.delete_repo(A__,							token=A__,							repo_type="dataset"						)

     return _cleanup_repo






@pytest.fixture
def      lowerCamelCase__      (__lowerCamelCase						):
     @contextmanager
     def _temporary_repo(__lowerCamelCase						):
          try:
               yield repo_id
          finally:
               cleanup_repo(A__						)

     return _temporary_repo






@pytest.fixture(scope="session"						)
def      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     _SCREAMING_SNAKE_CASE							:						Dict         =				f"""repo_txt_data-{int(time.time() * 10e3						)}"""
     _SCREAMING_SNAKE_CASE							:						Optional[Any]         =				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      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     return hf_private_dataset_repo_txt_data_






@pytest.fixture(scope="session"						)
def      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     _SCREAMING_SNAKE_CASE							:						List[Any]         =				f"""repo_zipped_txt_data-{int(time.time() * 10e3						)}"""
     _SCREAMING_SNAKE_CASE							:						int         =				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      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     return hf_private_dataset_repo_zipped_txt_data_






@pytest.fixture(scope="session"						)
def      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     _SCREAMING_SNAKE_CASE							:						Tuple         =				f"""repo_zipped_img_data-{int(time.time() * 10e3						)}"""
     _SCREAMING_SNAKE_CASE							:						Dict         =				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      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     return hf_private_dataset_repo_zipped_img_data_

'''simple docstring'''
from math import log

from scipy.constants import Boltzmann, physical_constants

lowercase__											=3_00  # TEMPERATURE (unit = K)






def      UpperCamelCase_				(      A__  ,      A__  ,      A__  ,      ):

	if donor_conc <= 0:
		raise ValueError("""Donor concentration should be positive"""						)
	elif acceptor_conc <= 0:
		raise ValueError("""Acceptor concentration should be positive"""						)
	elif intrinsic_conc <= 0:
		raise ValueError("""Intrinsic concentration should be positive"""						)
	elif donor_conc <= intrinsic_conc:
		raise ValueError(
		    """Donor concentration should be greater than intrinsic concentration"""						)
	elif acceptor_conc <= intrinsic_conc:
		raise ValueError(
		    """Acceptor concentration should be greater than intrinsic concentration"""						)
	else:
		return (
		    Boltzmann
		    * T
		    * log((donor_conc * acceptor_conc) / intrinsic_conc**2						)
		    / physical_constants["electron volt"][0]
		)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
