


import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin

class   A__ (   __lowerCAmelCase	, unittest.TestCase     ):







    """simple docstring"""

    __magic_name__        =		ProphetNetTokenizer
    __magic_name__        =		False
    def 		a_      (	self   ):
         super().setUp()

         snake_case					=    [
             '''[UNK]''',
             '''[CLS]''',
             '''[SEP]''',
             '''[PAD]''',
             '''[MASK]''',
             '''want''',
             '''##want''',
             '''##ed''',
             '''wa''',
             '''un''',
             '''runn''',
             '''##ing''',
             ''',''',
             '''low''',
             '''lowest''',
         ]
         snake_case					=    os.path.join(self.tmpdirname      , VOCAB_FILES_NAMES['''vocab_file''']   )
         with open(self.vocab_file      , '''w'''      , encoding='''utf-8'''   ) as vocab_writer:
              vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]   )   )
    def 		a_      (	self      , __snake_case   ):
         snake_case					=    '''UNwant\u00E9d,running'''
         snake_case					=    '''unwanted, running'''
         return input_text, output_text
    def 		a_      (	self   ):
         snake_case					=    self.tokenizer_class(self.vocab_file   )

         snake_case					=    tokenizer.tokenize('''UNwant\u00E9d,running'''   )
         self.assertListEqual(lowerCamelCase__      , ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']   )
         self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__   )      , [9, 6, 7, 1_2, 1_0, 1_1]   )
    def 		a_      (	self   ):
         snake_case					=    BasicTokenizer()

         self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''   )      , ['''ah''', '''\u535A''', '''\u63A8''', '''zz''']   )
    def 		a_      (	self   ):
         snake_case					=    BasicTokenizer(do_lower_case=lowerCamelCase__   )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''   )      , ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']   )
         self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''   )      , ['''hello''']   )
    def 		a_      (	self   ):
         snake_case					=    BasicTokenizer(do_lower_case=lowerCamelCase__      , strip_accents=lowerCamelCase__   )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''   )      , ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']   )
         self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''   )      , ['''h\u00E9llo''']   )
    def 		a_      (	self   ):
         snake_case					=    BasicTokenizer(do_lower_case=lowerCamelCase__      , strip_accents=lowerCamelCase__   )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''   )      , ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']   )
         self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''   )      , ['''hello''']   )
    def 		a_      (	self   ):
         snake_case					=    BasicTokenizer(do_lower_case=lowerCamelCase__   )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''   )      , ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']   )
         self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''   )      , ['''hello''']   )
    def 		a_      (	self   ):
         snake_case					=    BasicTokenizer(do_lower_case=lowerCamelCase__   )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''   )      , ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']   )
    def 		a_      (	self   ):
         snake_case					=    BasicTokenizer(do_lower_case=lowerCamelCase__      , strip_accents=lowerCamelCase__   )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''   )      , ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']   )
    def 		a_      (	self   ):
         snake_case					=    BasicTokenizer(do_lower_case=lowerCamelCase__      , strip_accents=lowerCamelCase__   )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''   )      , ['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']   )
    def 		a_      (	self   ):
         snake_case					=    BasicTokenizer(do_lower_case=lowerCamelCase__      , never_split=['''[UNK]''']   )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''   )      , ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']   )
    def 		a_      (	self   ):
         snake_case					=    ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

         snake_case					=    {}
         for i, token in enumerate(lowerCamelCase__   ):
              snake_case					=    i
         snake_case					=    WordpieceTokenizer(vocab=lowerCamelCase__      , unk_token='''[UNK]'''   )

         self.assertListEqual(tokenizer.tokenize(''''''   )      , []   )

         self.assertListEqual(tokenizer.tokenize('''unwanted running'''   )      , ['''un''', '''##want''', '''##ed''', '''runn''', '''##ing''']   )

         self.assertListEqual(tokenizer.tokenize('''unwantedX running'''   )      , ['''[UNK]''', '''runn''', '''##ing''']   )
    @require_torch
    def 		a_      (	self   ):
         snake_case					=    self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''   )

         snake_case					=    ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
         snake_case					=    [1_0_3_7, 2_1_4_6, 2_0_4_2_3, 2_0_0_5, 7_6_8_0, 7_8_4_9, 3_9_8_9, 1_0_1_2, 1_0_2]
         snake_case					=    tokenizer(lowerCamelCase__      , padding=lowerCamelCase__      , return_tensors='''pt'''   )
         self.assertIsInstance(lowerCamelCase__      , lowerCamelCase__   )
         snake_case					=    list(batch.input_ids.numpy()[0]   )
         self.assertListEqual(lowerCamelCase__      , lowerCamelCase__   )

         self.assertEqual((2, 9)      , batch.input_ids.shape   )
         self.assertEqual((2, 9)      , batch.attention_mask.shape   )
    def 		a_      (	self   ):
         self.assertTrue(_is_whitespace(''' '''   )   )
         self.assertTrue(_is_whitespace('''\t'''   )   )
         self.assertTrue(_is_whitespace('''\r'''   )   )
         self.assertTrue(_is_whitespace('''\n'''   )   )
         self.assertTrue(_is_whitespace('''\u00A0'''   )   )

         self.assertFalse(_is_whitespace('''A'''   )   )
         self.assertFalse(_is_whitespace('''-'''   )   )
    def 		a_      (	self   ):
         self.assertTrue(_is_control('''\u0005'''   )   )

         self.assertFalse(_is_control('''A'''   )   )
         self.assertFalse(_is_control(''' '''   )   )
         self.assertFalse(_is_control('''\t'''   )   )
         self.assertFalse(_is_control('''\r'''   )   )
    def 		a_      (	self   ):
         self.assertTrue(_is_punctuation('''-'''   )   )
         self.assertTrue(_is_punctuation('''$'''   )   )
         self.assertTrue(_is_punctuation('''`'''   )   )
         self.assertTrue(_is_punctuation('''.'''   )   )

         self.assertFalse(_is_punctuation('''A'''   )   )
         self.assertFalse(_is_punctuation(''' '''   )   )




    @slow
    def 		a_      (	self   ):
         snake_case					=    self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''   )

         snake_case					=    tokenizer.encode('''sequence builders'''      , add_special_tokens=lowerCamelCase__   )
         snake_case					=    tokenizer.encode('''multi-sequence build'''      , add_special_tokens=lowerCamelCase__   )

         snake_case					=    tokenizer.build_inputs_with_special_tokens(lowerCamelCase__   )
         snake_case					=    tokenizer.build_inputs_with_special_tokens(lowerCamelCase__      , lowerCamelCase__   )

         assert encoded_sentence == text + [1_0_2]
         assert encoded_pair == text + [1_0_2] + text_a + [1_0_2]








from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

_SCREAMING_SNAKE_CASE      :			str      				=   "https://www.indeed.co.in/jobs?q=mobile+app+development&l="
def       UpperCAmelCase__						(UpperCamelCase_ = "mumbai"    ):



     """simple docstring"""






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




