


import os
import sys
import unittest


lowerCAmelCase							=						os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
lowerCAmelCase							=						os.path.join(git_repo_path, """src""", """transformers""")

lowerCAmelCase							=						"""
{0} = None
"""

lowerCAmelCase							=						"""
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
"""


lowerCAmelCase							=						"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""




class        lowerCamelCase      (     unittest.TestCase   ):


	def    A(						self):
							__UpperCAmelCase :       Any  						=  find_backend('''    _import_structure["models.albert"].append("AlbertTokenizerFast")''')
							self.assertIsNone(lowercase__)

							__UpperCAmelCase :       Any  						=  find_backend('''    if not is_tokenizers_available():''')
							self.assertEqual(lowercase__							,    '''tokenizers''')

							__UpperCAmelCase :       Dict  						=  find_backend('''    if not is_tensorflow_text_available():''')
							self.assertEqual(lowercase__							,    '''tensorflow_text''')

							__UpperCAmelCase :       Optional[Any]  						=  find_backend('''    if not (is_sentencepiece_available() and is_tokenizers_available()):''')
							self.assertEqual(lowercase__							,    '''sentencepiece_and_tokenizers''')

							__UpperCAmelCase :       Optional[int]  						=  find_backend(
							    '''    if not (is_sentencepiece_available() and is_tensorflow_text_available()):''')
							self.assertEqual(lowercase__							,    '''sentencepiece_and_tensorflow_text''')

							__UpperCAmelCase :       List[Any]  						=  find_backend(
							    '''    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):''')
							self.assertEqual(lowercase__							,    '''sentencepiece_and_tokenizers_and_vision''')


	def    A(						self):
							__UpperCAmelCase :       Optional[Any]  						=  read_init()
							# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
							self.assertIn('''torch'''							,    lowercase__)
							self.assertIn('''tensorflow_text'''							,    lowercase__)
							self.assertIn('''sentencepiece_and_tokenizers'''							,    lowercase__)

							# Likewise, we can't assert on the exact content of a key
							self.assertIn('''BertModel'''							,    objects['''torch'''])
							self.assertIn('''TFBertModel'''							,    objects['''tf'''])
							self.assertIn('''FlaxBertModel'''							,    objects['''flax'''])
							self.assertIn('''BertModel'''							,    objects['''torch'''])
							self.assertIn('''TFBertTokenizer'''							,    objects['''tensorflow_text'''])
							self.assertIn('''convert_slow_tokenizer'''							,    objects['''sentencepiece_and_tokenizers'''])


	def    A(						self):
							__UpperCAmelCase :       int  						=  create_dummy_object('''CONSTANT'''							,    '''\'torch\'''')
							self.assertEqual(lowercase__							,    '''\nCONSTANT = None\n''')

							__UpperCAmelCase :       List[str]  						=  create_dummy_object('''function'''							,    '''\'torch\'''')
							self.assertEqual(
							    lowercase__							,    '''\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n''')

							__UpperCAmelCase :       str  						=  '''
class FakeClass(metaclass=DummyObject):
    _backends = \'torch\'

    def __init__(self, *args, **kwargs):
        requires_backends(self, \'torch\')
'''
							__UpperCAmelCase :       Dict  						=  create_dummy_object('''FakeClass'''							,    '''\'torch\'''')
							self.assertEqual(lowercase__							,    lowercase__)


	def    A(						self):
							__UpperCAmelCase :       List[Any]  						=  '''# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends


CONSTANT = None


def function(*args, **kwargs):
    requires_backends(function, ["torch"])


class FakeClass(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])
'''
							__UpperCAmelCase :       Union[str, Any]  						=  create_dummy_files({'''torch''': ['''CONSTANT''', '''function''', '''FakeClass''']})
							self.assertEqual(dummy_files['''torch''']							,    lowercase__)





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]}')

