


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       (					lowercase_			)		->    Tuple:




						'''simple docstring'''







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




@pytest.fixture
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    List[Any]:




						'''simple docstring'''







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




@pytest.fixture
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    Any:




						'''simple docstring'''







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




@pytest.fixture
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			)		->    Dict:




						'''simple docstring'''







						HfFolder.save_token(lowercase_			)
						yield
						HfFolder.delete_token()




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




						'''simple docstring'''







						return HfApi(endpoint=lowercase_			)




@pytest.fixture(scope='''session'''			)
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    int:




						'''simple docstring'''







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




@pytest.fixture
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    Union[str, Any]:




						'''simple docstring'''







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

						return _cleanup_repo




@pytest.fixture
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    Dict:




						'''simple docstring'''







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

						return _temporary_repo




@pytest.fixture(scope='''session'''			)
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			,					lowercase_			)		->    List[str]:




						'''simple docstring'''







						__UpperCAmelCase :       List[str]  						=  f"repo_txt_data-{int(time.time() * 10e3			)}"
						__UpperCAmelCase :       Dict  						=  f"{CI_HUB_USER}/{repo_name}"
						hf_api.create_repo(lowercase_			,					token=lowercase_			,					repo_type='''dataset'''			,					private=lowercase_			)
						hf_api.upload_file(
						    token=lowercase_			,					path_or_fileobj=str(lowercase_			)			,					path_in_repo='''data/text_data.txt'''			,					repo_id=lowercase_			,					repo_type='''dataset'''			,					)
						yield repo_id
						try:
												hf_api.delete_repo(lowercase_			,					token=lowercase_			,					repo_type='''dataset'''			)
						except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
												pass




@pytest.fixture()
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			,					lowercase_			)		->    List[str]:




						'''simple docstring'''







						return hf_private_dataset_repo_txt_data_




@pytest.fixture(scope='''session'''			)
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			,					lowercase_			)		->    Dict:




						'''simple docstring'''







						__UpperCAmelCase :       Any  						=  f"repo_zipped_txt_data-{int(time.time() * 10e3			)}"
						__UpperCAmelCase :       Tuple  						=  f"{CI_HUB_USER}/{repo_name}"
						hf_api.create_repo(lowercase_			,					token=lowercase_			,					repo_type='''dataset'''			,					private=lowercase_			)
						hf_api.upload_file(
						    token=lowercase_			,					path_or_fileobj=str(lowercase_			)			,					path_in_repo='''data.zip'''			,					repo_id=lowercase_			,					repo_type='''dataset'''			,					)
						yield repo_id
						try:
												hf_api.delete_repo(lowercase_			,					token=lowercase_			,					repo_type='''dataset'''			)
						except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
												pass




@pytest.fixture()
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			,					lowercase_			)		->    int:




						'''simple docstring'''







						return hf_private_dataset_repo_zipped_txt_data_




@pytest.fixture(scope='''session'''			)
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			,					lowercase_			)		->    Optional[Any]:




						'''simple docstring'''







						__UpperCAmelCase :       int  						=  f"repo_zipped_img_data-{int(time.time() * 10e3			)}"
						__UpperCAmelCase :       Dict  						=  f"{CI_HUB_USER}/{repo_name}"
						hf_api.create_repo(lowercase_			,					token=lowercase_			,					repo_type='''dataset'''			,					private=lowercase_			)
						hf_api.upload_file(
						    token=lowercase_			,					path_or_fileobj=str(lowercase_			)			,					path_in_repo='''data.zip'''			,					repo_id=lowercase_			,					repo_type='''dataset'''			,					)
						yield repo_id
						try:
												hf_api.delete_repo(lowercase_			,					token=lowercase_			,					repo_type='''dataset'''			)
						except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
												pass





@pytest.fixture()
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			,					lowercase_			)		->    Any:




						'''simple docstring'''







						return hf_private_dataset_repo_zipped_img_data_





from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

lowerCAmelCase							=						"""https://www.indeed.co.in/jobs?q=mobile+app+development&l="""




def 						__SCREAMING_SNAKE_CASE       (					lowercase_ = "mumbai"			)		->    Generator[tuple[str, str], None, None]:




						'''simple docstring'''







						__UpperCAmelCase :       List[Any]  						=  BeautifulSoup(requests.get(url + location			).content			,					'''html.parser'''			)
						# This attribute finds out all the specifics listed in a job
						for job in soup.find_all('''div'''			,					attrs={'''data-tn-component''': '''organicJob'''}			):
												__UpperCAmelCase :       str  						=  job.find('''a'''			,					attrs={'''data-tn-element''': '''jobTitle'''}			).text.strip()
												__UpperCAmelCase :       List[str]  						=  job.find('''span'''			,					{'''class''': '''company'''}			).text.strip()
												yield job_title, company_name


if __name__ == "__main__":
				for i, job in enumerate(fetch_jobs("""Bangalore"""), 1):
								print(F'Job {i:>2} is {job[0]} at {job[1]}')

