

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      snake_case__      (   SCREAMING_SNAKE_CASE_		:   List[str]     ,					SCREAMING_SNAKE_CASE_		:   Dict=False      ):



					'''simple docstring'''





					try:
										lowercase__   :       Union[str, Any]				=	os.environ[key]
					except KeyError:
										# KEY isn't set, default to `default`.
										lowercase__   :       Optional[int]				=	default
					else:
										# KEY is set, convert it to True or False.
										try:
															lowercase__   :       List[str]				=	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


snake_case_        =			parse_flag_from_env('''RUN_SLOW''', default=False)

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[int]      ):



					'''simple docstring'''





					return unittest.skip('Test was skipped'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Dict      ):



					'''simple docstring'''





					return unittest.skipUnless(_run_slow_tests     ,					'test is slow'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Any      ):



					'''simple docstring'''





					return unittest.skipUnless(not torch.cuda.is_available()     ,					'test requires only a CPU'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int      ):



					'''simple docstring'''





					return unittest.skipUnless(torch.cuda.is_available()     ,					'test requires a GPU'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[Any]      ):



					'''simple docstring'''





					return unittest.skipUnless(is_xpu_available()     ,					'test requires a XPU'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int      ):



					'''simple docstring'''





					return unittest.skipUnless(is_mps_available()     ,					'test requires a `mps` backend support in `torch`'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Union[str, Any]      ):



					'''simple docstring'''





					return unittest.skipUnless(
					    is_transformers_available() and is_datasets_available()     ,					'test requires the Hugging Face suite'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Dict      ):



					'''simple docstring'''





					return unittest.skipUnless(is_bnb_available()     ,					'test requires the bitsandbytes library'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Any      ):



					'''simple docstring'''





					return unittest.skipUnless(is_tpu_available()     ,					'test requires TPU'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[Any]      ):



					'''simple docstring'''





					return unittest.skipUnless(torch.cuda.device_count() == 1     ,					'test requires a GPU'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int      ):



					'''simple docstring'''





					return unittest.skipUnless(torch.xpu.device_count() == 1     ,					'test requires a XPU'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Any      ):



					'''simple docstring'''





					return unittest.skipUnless(torch.cuda.device_count() > 1     ,					'test requires multiple GPUs'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[int]      ):



					'''simple docstring'''





					return unittest.skipUnless(torch.xpu.device_count() > 1     ,					'test requires multiple XPUs'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Dict      ):



					'''simple docstring'''





					return unittest.skipUnless(is_safetensors_available()     ,					'test requires safetensors'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   List[str]      ):



					'''simple docstring'''





					return unittest.skipUnless(is_deepspeed_available()     ,					'test requires DeepSpeed'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Union[str, Any]      ):



					'''simple docstring'''





					return unittest.skipUnless(is_torch_version('>='     ,					'1.12.0'      )     ,					'test requires torch version >= 1.12.0'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   List[Any]=None     ,					SCREAMING_SNAKE_CASE_		:   int=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      snake_case__      (   SCREAMING_SNAKE_CASE_		:   List[str]      ):



					'''simple docstring'''





					return unittest.skipUnless(is_tensorboard_available()     ,					'test requires Tensorboard'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[Any]      ):



					'''simple docstring'''





					return unittest.skipUnless(is_wandb_available()     ,					'test requires wandb'      )(lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[int]      ):



					'''simple docstring'''





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


snake_case_        =			(
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   List[Any]      ):



					'''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 				SCREAMING_SNAKE_CASE__ (unittest.TestCase					):
				__lowerCamelCase						:	Optional[Any]														=					True





				@classmethod
				def 				snake_case_    (				cls):
									lowercase__   :       int				=	tempfile.mkdtemp()





				@classmethod
				def 				snake_case_    (				cls):







									if os.path.exists(cls.tmpdir):
														shutil.rmtree(cls.tmpdir)





				def 				snake_case_    (				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 				SCREAMING_SNAKE_CASE__ (unittest.TestCase					):





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



class 				SCREAMING_SNAKE_CASE__ (unittest.TestCase					):





				def 				snake_case_    (				self						,       a):
									lowercase__   :       List[Any]				=	mocks if isinstance(_lowerCamelCase						,       (tuple, list)) else [mocks]
									for m in self.mocks:
														m.start()
														self.addCleanup(m.stop)



def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[Any]      ):



					'''simple docstring'''





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


class 				SCREAMING_SNAKE_CASE__ :





				def __init__(				self						,       a						,       a						,       a):
									lowercase__   :       Any				=	returncode
									lowercase__   :       str				=	stdout
									lowercase__   :       Union[str, Any]				=	stderr



async def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Dict     ,					SCREAMING_SNAKE_CASE_		:   List[Any]      ):



					'''simple docstring'''





					while True:
										lowercase__   :       List[Any]				=	await stream.readline()
										if line:
															callback(lowerCamelCase__      )
										else:
															break

async def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   str     ,					SCREAMING_SNAKE_CASE_		:   Union[str, Any]=None     ,					SCREAMING_SNAKE_CASE_		:   Optional[int]=None     ,					SCREAMING_SNAKE_CASE_		:   Optional[Any]=None     ,					SCREAMING_SNAKE_CASE_		:   int=False     ,					SCREAMING_SNAKE_CASE_		:   str=False      ):



					'''simple docstring'''





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

					lowercase__   :       Union[str, Any]				=	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__   :       Union[str, Any]				=	[]
					lowercase__   :       str				=	[]

					def tee(SCREAMING_SNAKE_CASE_		:   Optional[int]     ,					SCREAMING_SNAKE_CASE_		:   Optional[Any]     ,					SCREAMING_SNAKE_CASE_		:   int     ,					SCREAMING_SNAKE_CASE_		:   Union[str, Any]=""      ):
										lowercase__   :       int				=	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 SCREAMING_SNAKE_CASE_      : tee(lowerCamelCase__     ,					lowerCamelCase__     ,					sys.stdout     ,					label='stdout:'      )      )      ),
					        asyncio.create_task(_read_stream(p.stderr     ,					lambda SCREAMING_SNAKE_CASE_      : tee(lowerCamelCase__     ,					lowerCamelCase__     ,					sys.stderr     ,					label='stderr:'      )      )      ),
					    ]     ,					timeout=lowerCamelCase__     ,					)
					return _RunOutput(await p.wait()     ,					lowerCamelCase__     ,					lowerCamelCase__      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Dict     ,					SCREAMING_SNAKE_CASE_		:   List[str]=None     ,					SCREAMING_SNAKE_CASE_		:   Optional[int]=None     ,					SCREAMING_SNAKE_CASE_		:   str=180     ,					SCREAMING_SNAKE_CASE_		:   Union[str, Any]=False     ,					SCREAMING_SNAKE_CASE_		:   List[str]=True      ):



					'''simple docstring'''





					lowercase__   :       str				=	asyncio.get_event_loop()
					lowercase__   :       Dict				=	loop.run_until_complete(
					    _stream_subprocess(lowerCamelCase__     ,					env=lowerCamelCase__     ,					stdin=lowerCamelCase__     ,					timeout=lowerCamelCase__     ,					quiet=lowerCamelCase__     ,					echo=lowerCamelCase__      )      )

					lowercase__   :       Optional[int]				=	''' '''.join(lowerCamelCase__      )
					if result.returncode > 0:
										lowercase__   :       Tuple				=	'''\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 				SCREAMING_SNAKE_CASE__ (a__					):
				pass



def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   List[str]     ,					SCREAMING_SNAKE_CASE_		:   Optional[Any]=False      ):



					'''simple docstring'''





					try:
										lowercase__   :       List[Any]				=	subprocess.check_output(lowerCamelCase__     ,					stderr=subprocess.STDOUT      )
										if return_stdout:
															if hasattr(lowerCamelCase__     ,					'decode'      ):
																				lowercase__   :       Any				=	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




from __future__ import annotations


class 				SCREAMING_SNAKE_CASE__ :





    def __init__(				self						,       a						,       a):
         lowercase__				,			lowercase__   :       Dict				=	text, pattern
         lowercase__				,			lowercase__   :       Any				=	len(a), len(a)





    def 				snake_case_    (				self						,       a):

         for i in range(self.patLen - 1						,       -1						,       -1):
              if char == self.pattern[i]:
                   return i
         return -1





    def 				snake_case_    (				self						,       a):

         for i in range(self.patLen - 1						,       -1						,       -1):
              if self.pattern[i] != self.text[current_pos + i]:
                   return current_pos + i
         return -1





    def 				snake_case_    (				self):
         # searches pattern in text and returns index positions
         lowercase__   :       Any				=	[]
         for i in range(self.textLen - self.patLen + 1):
              lowercase__   :       Optional[Any]				=	self.mismatch_in_text(a)
              if mismatch_index == -1:
                   positions.append(a)
              else:
                   lowercase__   :       Optional[int]				=	self.match_in_pattern(self.text[mismatch_index])
                   lowercase__   :       Optional[Any]				=	(
                       mismatch_index - match_index
                   )  # shifting index lgtm [py/multiple-definition]
         return positions



snake_case_        =			'''ABAABA'''
snake_case_        =			'''AB'''
snake_case_        =			BoyerMooreSearch(text, pattern)
snake_case_        =			bms.bad_character_heuristic()

if len(positions) == 0:
       print('''No match found''')
else:
       print('''Pattern found in following positions: ''')
       print(positions)

