


from torch import nn




class        lowerCamelCase      (     nn.Module   ):


	def __init__(						self							,    lowercase__							,    lowercase__):
							super().__init__()
							__UpperCAmelCase :       str  						=  class_size
							__UpperCAmelCase :       Union[str, Any]  						=  embed_size
							# self.mlp1 = nn.Linear(embed_size, embed_size)
							# self.mlp2 = (nn.Linear(embed_size, class_size))
							__UpperCAmelCase :       List[str]  						=  nn.Linear(lowercase__							,    lowercase__)


	def    A(						self							,    lowercase__):
							# hidden_state = nn.functional.relu(self.mlp1(hidden_state))
							# hidden_state = self.mlp2(hidden_state)
							__UpperCAmelCase :       Union[str, Any]  						=  self.mlp(lowercase__)
							return logits





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]}')

