



import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin





class    lowerCamelCase__  (						UpperCAmelCase_       ,    unittest.TestCase):
     """simple docstring"""



     _A       =			BlenderbotSmallTokenizer
     _A       =			False







     def 						_a      (self    ):






           '''simple docstring'''



           super().setUp()

           lowerCamelCase								=		["__start__", "adapt", "act", "ap@@", "te", "__end__", "__unk__"]
           lowerCamelCase								=		dict(zip(__a				,			range(len(__a    )    )    )    )

           lowerCamelCase								=		["#version: 0.2", "a p", "t e</w>", "ap t</w>", "a d", "ad apt</w>", "a c", "ac t</w>", ""]
           lowerCamelCase								=		{"unk_token": "__unk__", "bos_token": "__start__", "eos_token": "__end__"}

           lowerCamelCase								=		os.path.join(self.tmpdirname				,			VOCAB_FILES_NAMES["vocab_file"]    )
           lowerCamelCase								=		os.path.join(self.tmpdirname				,			VOCAB_FILES_NAMES["merges_file"]    )
           with open(self.vocab_file				,			"w"				,			encoding="utf-8"    ) as fp:
                 fp.write(json.dumps(__a    ) + "\n"    )
           with open(self.merges_file				,			"w"				,			encoding="utf-8"    ) as fp:
                 fp.write("\n".join(__a    )    )







     def 						_a      (self				,			**__a    ):






           '''simple docstring'''



           kwargs.update(self.special_tokens_map    )
           return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname				,			**__a    )







     def 						_a      (self				,			__a    ):






           '''simple docstring'''



           lowerCamelCase								=		"adapt act apte"
           lowerCamelCase								=		"adapt act apte"
           return input_text, output_text







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		BlenderbotSmallTokenizer(self.vocab_file				,			self.merges_file				,			**self.special_tokens_map    )
           lowerCamelCase								=		"adapt act apte"
           lowerCamelCase								=		["adapt", "act", "ap@@", "te"]
           lowerCamelCase								=		tokenizer.tokenize(__a    )
           self.assertListEqual(__a				,			__a    )

           lowerCamelCase								=		[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

           lowerCamelCase								=		[0, 1, 2, 3, 4, 5]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(__a    )				,			__a    )







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"    )
           assert tok("sam"    ).input_ids == [13_84]
           lowerCamelCase								=		"I am a small frog."
           lowerCamelCase								=		tok([src_text]				,			padding=__a				,			truncation=__a    )["input_ids"]
           lowerCamelCase								=		tok.batch_decode(__a				,			skip_special_tokens=__a				,			clean_up_tokenization_spaces=__a    )[0]
           assert src_text != decoded  # I wish it did!
           assert decoded == "i am a small frog ."







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"    )
           lowerCamelCase								=		"I am a small frog ."
           lowerCamelCase								=		"."
           lowerCamelCase								=		tok(__a    )["input_ids"]
           lowerCamelCase								=		tok(__a    )["input_ids"]

           assert encoded[-1] == encoded_dot[0]




from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

a_						:     int	     =		'https://www.indeed.co.in/jobs?q=mobile+app+development&l='

def     __lowercase(	UpperCAmelCase__ = "mumbai" ):


      """simple docstring"""



      lowerCamelCase								=		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"} ):
            lowerCamelCase								=		job.find("a"   ,   attrs={"data-tn-element": "jobTitle"} ).text.strip()
            lowerCamelCase								=		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]}""")