


import asyncio
import os
import shutil
import subprocess
import sys
import tempfile
import unittest
from distutils.util import strtobool
from functools import partial
from pathlib import Path
from typing import List, Union
from unittest import mock

import torch

from ..state import AcceleratorState, PartialState
from ..utils import (
    gather,
    is_bnb_available,
    is_comet_ml_available,
    is_datasets_available,
    is_deepspeed_available,
    is_mps_available,
    is_safetensors_available,
    is_tensorboard_available,
    is_torch_version,
    is_tpu_available,
    is_transformers_available,
    is_wandb_available,
    is_xpu_available,
)
def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_=False    ):



     """simple docstring"""






     try:
          snake_case					=    os.environ[key]
     except KeyError:
          # KEY isn't set, default to `default`.
          snake_case					=    default
     else:
          # KEY is set, convert it to True or False.
          try:
               snake_case					=    strtobool(lowercase_    )
          except ValueError:
               # More values are supported, but let's keep the message simple.
               raise ValueError(F'''If set, {key} must be yes or no.'''    )
     return _value


_SCREAMING_SNAKE_CASE      :			Optional[Any]      				=   parse_flag_from_env("RUN_SLOW", default=False)
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skip('''Test was skipped'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(_run_slow_tests							,'''test is slow'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(not torch.cuda.is_available()							,'''test requires only a CPU'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(torch.cuda.is_available()							,'''test requires a GPU'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(is_xpu_available()							,'''test requires a XPU'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(is_mps_available()							,'''test requires a `mps` backend support in `torch`'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(
         is_transformers_available() and is_datasets_available()							,'''test requires the Hugging Face suite'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(is_bnb_available()							,'''test requires the bitsandbytes library'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(is_tpu_available()							,'''test requires TPU'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(torch.cuda.device_count() == 1							,'''test requires a GPU'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(torch.xpu.device_count() == 1							,'''test requires a XPU'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(torch.cuda.device_count() > 1							,'''test requires multiple GPUs'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(torch.xpu.device_count() > 1							,'''test requires multiple XPUs'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(is_safetensors_available()							,'''test requires safetensors'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(is_deepspeed_available()							,'''test requires DeepSpeed'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(is_torch_version('''>='''							,'''1.12.0'''    )							,'''test requires torch version >= 1.12.0'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_=None							,UpperCamelCase_=None    ):



     """simple docstring"""






     if test_case is None:
          return partial(lowercase_							,version=lowercase_    )
     return unittest.skipUnless(is_torch_version('''>='''							,lowercase_    )							,F'''test requires torch version >= {version}'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(is_tensorboard_available()							,'''test requires Tensorboard'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(is_wandb_available()							,'''test requires wandb'''    )(lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(is_comet_ml_available()							,'''test requires comet_ml'''    )(lowercase_    )


_SCREAMING_SNAKE_CASE      :			Tuple      				=   (
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return unittest.skipUnless(
         _atleast_one_tracker_available							,'''test requires at least one tracker to be available and for `comet_ml` to not be installed'''							,)(lowercase_    )

class   A__ (   unittest.TestCase     ):







    """simple docstring"""

    __magic_name__        =		True
    @classmethod
    def 		a_      (	cls   ):
         snake_case					=    tempfile.mkdtemp()
    @classmethod
    def 		a_      (	cls   ):
         if os.path.exists(cls.tmpdir   ):
              shutil.rmtree(cls.tmpdir   )




    def 		a_      (	self   ):
         if self.clear_on_setup:
              for path in Path(self.tmpdir   ).glob('''**/*'''   ):
                   if path.is_file():
                        path.unlink()
                   elif path.is_dir():
                        shutil.rmtree(lowerCamelCase__   )






class   A__ (   unittest.TestCase     ):







    """simple docstring"""

    def 		a_      (	self   ):
         super().tearDown()
         # Reset the state of the AcceleratorState singleton.
         AcceleratorState._reset_state()
         PartialState._reset_state()






class   A__ (   unittest.TestCase     ):







    """simple docstring"""

    def 		a_      (	self      , __snake_case   ):
         snake_case					=    mocks if isinstance(lowerCamelCase__      , (tuple, list)   ) else [mocks]
         for m in self.mocks:
              m.start()
              self.addCleanup(m.stop   )






def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     snake_case					=    AcceleratorState()
     snake_case					=    tensor[None].clone().to(state.device    )
     snake_case					=    gather(lowercase_    ).cpu()
     snake_case					=    tensor[0].cpu()
     for i in range(tensors.shape[0]    ):
          if not torch.equal(tensors[i]							,lowercase_    ):
               return False
     return True

class   A__ :







    """simple docstring"""

    def __init__(	self      , __snake_case      , __snake_case      , __snake_case   ):
         snake_case					=    returncode
         snake_case					=    stdout
         snake_case					=    stderr






async def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_    ):



     """simple docstring"""






     while True:
          snake_case					=    await stream.readline()
          if line:
               callback(lowercase_    )
          else:
               break
async def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_=None							,UpperCamelCase_=None							,UpperCamelCase_=None							,UpperCamelCase_=False							,UpperCamelCase_=False    ):



     """simple docstring"""






     if echo:
          print('''\nRunning: '''							,''' '''.join(lowercase_    )    )

     snake_case					=    await asyncio.create_subprocess_exec(
         cmd[0]							,*cmd[1:]							,stdin=lowercase_							,stdout=asyncio.subprocess.PIPE							,stderr=asyncio.subprocess.PIPE							,env=lowercase_							,)

     # note: there is a warning for a possible deadlock when using `wait` with huge amounts of data in the pipe
     # https://docs.python.org/3/library/asyncio-subprocess.html#asyncio.asyncio.subprocess.Process.wait
     #
     # If it starts hanging, will need to switch to the following code. The problem is that no data
     # will be seen until it's done and if it hangs for example there will be no debug info.
     # out, err = await p.communicate()
     # return _RunOutput(p.returncode, out, err)

     snake_case					=    []
     snake_case					=    []

     def tee(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_=""    ):
          snake_case					=    line.decode('''utf-8'''    ).rstrip()
          sink.append(lowercase_    )
          if not quiet:
               print(lowercase_							,lowercase_							,file=lowercase_    )

    # XXX: the timeout doesn't seem to make any difference here
     await asyncio.wait(
         [
             asyncio.create_task(_read_stream(p.stdout							,lambda UpperCamelCase_    : tee(lowercase_							,lowercase_							,sys.stdout							,label='''stdout:'''    )    )    ),
             asyncio.create_task(_read_stream(p.stderr							,lambda UpperCamelCase_    : tee(lowercase_							,lowercase_							,sys.stderr							,label='''stderr:'''    )    )    ),
         ]							,timeout=lowercase_							,)
     return _RunOutput(await p.wait()							,lowercase_							,lowercase_    )
def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_=None							,UpperCamelCase_=None							,UpperCamelCase_=1_80							,UpperCamelCase_=False							,UpperCamelCase_=True    ):



     """simple docstring"""






     snake_case					=    asyncio.get_event_loop()
     snake_case					=    loop.run_until_complete(
         _stream_subprocess(lowercase_							,env=lowercase_							,stdin=lowercase_							,timeout=lowercase_							,quiet=lowercase_							,echo=lowercase_    )    )

     snake_case					=    ''' '''.join(lowercase_    )
     if result.returncode > 0:
          snake_case					=    '''\n'''.join(result.stderr    )
          raise RuntimeError(
              F'''\'{cmd_str}\' failed with returncode {result.returncode}\n\n'''
              F'''The combined stderr from workers follows:\n{stderr}'''    )

     return result

class   A__ (   A__     ):







    """simple docstring"""

    pass






def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_=False    ):



     """simple docstring"""






     try:
          snake_case					=    subprocess.check_output(lowercase_							,stderr=subprocess.STDOUT    )
          if return_stdout:
               if hasattr(lowercase_							,'''decode'''    ):
                    snake_case					=    output.decode('''utf-8'''    )
               return output
     except subprocess.CalledProcessError as e:
          raise SubprocessCallException(
              F'''Command `{" ".join(lowercase_    )}` failed with the following error:\n\n{e.output.decode()}'''    ) from e








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]}''')




