
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    (							lowerCAmelCase__ ,			lowerCAmelCase__=False		):
					'''simple docstring'''
					try:
										lowercase							=						os.environ[key]
					except KeyError:
										# KEY isn't set, default to `default`.
										lowercase							=						default
					else:
										# KEY is set, convert it to True or False.
										try:
															lowercase							=						strtobool(lowerCAmelCase__		)
										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


lowercase__		:Tuple   =    parse_flag_from_env("RUN_SLOW", default=False)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skip('''Test was skipped'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(_run_slow_tests ,			'''test is slow'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(not torch.cuda.is_available() ,			'''test requires only a CPU'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(torch.cuda.is_available() ,			'''test requires a GPU'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(is_xpu_available() ,			'''test requires a XPU'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(is_mps_available() ,			'''test requires a `mps` backend support in `torch`'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(
					    is_transformers_available() and is_datasets_available() ,			'''test requires the Hugging Face suite'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(is_bnb_available() ,			'''test requires the bitsandbytes library'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(is_tpu_available() ,			'''test requires TPU'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(torch.cuda.device_count() == 1 ,			'''test requires a GPU'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(torch.xpu.device_count() == 1 ,			'''test requires a XPU'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(torch.cuda.device_count() > 1 ,			'''test requires multiple GPUs'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(torch.xpu.device_count() > 1 ,			'''test requires multiple XPUs'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(is_safetensors_available() ,			'''test requires safetensors'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(is_deepspeed_available() ,			'''test requires DeepSpeed'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(is_torch_version('''>=''' ,			'''1.12.0'''		) ,			'''test requires torch version >= 1.12.0'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__=None ,			lowerCAmelCase__=None		):
					'''simple docstring'''
					if test_case is None:
										return partial(lowerCAmelCase__ ,			version=lowerCAmelCase__		)
					return unittest.skipUnless(is_torch_version('''>=''' ,			lowerCAmelCase__		) ,			f'test requires torch version >= {version}'		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(is_tensorboard_available() ,			'''test requires Tensorboard'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(is_wandb_available() ,			'''test requires wandb'''		)(lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					return unittest.skipUnless(is_comet_ml_available() ,			'''test requires comet_ml'''		)(lowerCAmelCase__		)


lowercase__		:Union[str, Any]   =    (
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''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''' ,			)(lowerCAmelCase__		)







class 				lowercase		(					unittest.TestCase		):
							lowercase_       :       Dict       					=True




							@classmethod
							def  A__      (				cls):
												lowercase							=						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(A__)







class 				lowercase		(					unittest.TestCase		):




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







class 				lowercase		(					unittest.TestCase		):




							def  A__      (				self   ,A__):
												lowercase							=						mocks if isinstance(A__   ,(tuple, list)) else [mocks]
												for m in self.mocks:
																	m.start()
																	self.addCleanup(m.stop)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					lowercase							=						AcceleratorState()
					lowercase							=						tensor[None].clone().to(state.device		)
					lowercase							=						gather(lowerCAmelCase__		).cpu()
					lowercase							=						tensor[0].cpu()
					for i in range(tensors.shape[0]		):
										if not torch.equal(tensors[i] ,			lowerCAmelCase__		):
															return False
					return True







class 				lowercase		:




							def __init__(				self   ,A__   ,A__   ,A__):
												lowercase							=						returncode
												lowercase							=						stdout
												lowercase							=						stderr



async def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__		):
					'''simple docstring'''
					while True:
										lowercase							=						await stream.readline()
										if line:
															callback(lowerCAmelCase__		)
										else:
															break



async def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__=None ,			lowerCAmelCase__=None ,			lowerCAmelCase__=None ,			lowerCAmelCase__=False ,			lowerCAmelCase__=False		):
					'''simple docstring'''
					if echo:
										print('''\nRunning: ''' ,			''' '''.join(lowerCAmelCase__		)		)

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

					# 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)

					lowercase							=						[]
					lowercase							=						[]

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

    # XXX: the timeout doesn't seem to make any difference here
					await asyncio.wait(
					    [
					        asyncio.create_task(_read_stream(p.stdout ,			lambda lowerCAmelCase__		: tee(lowerCAmelCase__ ,			lowerCAmelCase__ ,			sys.stdout ,			label='''stdout:'''		)		)		),
					        asyncio.create_task(_read_stream(p.stderr ,			lambda lowerCAmelCase__		: tee(lowerCAmelCase__ ,			lowerCAmelCase__ ,			sys.stderr ,			label='''stderr:'''		)		)		),
					    ] ,			timeout=lowerCAmelCase__ ,			)
					return _RunOutput(await p.wait() ,			lowerCAmelCase__ ,			lowerCAmelCase__		)



def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__=None ,			lowerCAmelCase__=None ,			lowerCAmelCase__=180 ,			lowerCAmelCase__=False ,			lowerCAmelCase__=True		):
					'''simple docstring'''
					lowercase							=						asyncio.get_event_loop()
					lowercase							=						loop.run_until_complete(
					    _stream_subprocess(lowerCAmelCase__ ,			env=lowerCAmelCase__ ,			stdin=lowerCAmelCase__ ,			timeout=lowerCAmelCase__ ,			quiet=lowerCAmelCase__ ,			echo=lowerCAmelCase__		)		)

					lowercase							=						''' '''.join(lowerCAmelCase__		)
					if result.returncode > 0:
										lowercase							=						'''\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 				lowercase		(					SCREAMING_SNAKE_CASE__		):
							pass



def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__=False		):
					'''simple docstring'''
					try:
										lowercase							=						subprocess.check_output(lowerCAmelCase__ ,			stderr=subprocess.STDOUT		)
										if return_stdout:
															if hasattr(lowerCAmelCase__ ,			'''decode'''		):
																				lowercase							=						output.decode('''utf-8'''		)
															return output
					except subprocess.CalledProcessError as e:
										raise SubprocessCallException(
										    f'Command `{" ".join(lowerCAmelCase__		)}` failed with the following error:\n\n{e.output.decode()}'		) from e










import requests
from bsa import BeautifulSoup







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_						)   ->       str:



       """simple docstring"""

       A__       =    BeautifulSoup(requests.get(lowercase_ ,				params=lowercase_						).content ,				'''html.parser'''						)
       A__       =    soup.find('''div''' ,				attrs={'''class''': '''gs_ri'''}						)
       A__       =    div.find('''div''' ,				attrs={'''class''': '''gs_fl'''}						).find_all('''a'''						)
       return anchors[2].get_text()


if __name__ == "__main__":
  _lowerCamelCase	:		Optional[Any]							       =   {
      """title""": (
          """Precisely geometry controlled microsupercapacitors for ultrahigh areal """
          """capacitance, volumetric capacitance, and energy density"""
      ),
      """journal""": """Chem. Mater.""",
      """volume""": 30,
      """pages""": """3979-3990""",
      """year""": 2018,
      """hl""": """en""",
  }
  print(get_citation("""https://scholar.google.com/scholar_lookup""", params=params))


