




'''simple docstring'''


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 						SCREAMING_SNAKE_CASE       (      a_	:							List[Any]				,					a_	:							str=False			):
  try:
    __a			=					os.environ[key]
  except KeyError:
    # KEY isn't set, default to `default`.
    __a			=					default
  else:
    # KEY is set, convert it to True or False.
    try:
      __a			=					strtobool(a_			)
    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


UpperCAmelCase_ 		=      parse_flag_from_env("RUN_SLOW", default=False)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Union[str, Any]			):
  return unittest.skip('Test was skipped'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							int			):
  return unittest.skipUnless(_run_slow_tests				,					'test is slow'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]			):
  return unittest.skipUnless(not torch.cuda.is_available()				,					'test requires only a CPU'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple			):
  return unittest.skipUnless(torch.cuda.is_available()				,					'test requires a GPU'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple			):
  return unittest.skipUnless(is_xpu_available()				,					'test requires a XPU'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple			):
  return unittest.skipUnless(is_mps_available()				,					'test requires a `mps` backend support in `torch`'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							str			):
  return unittest.skipUnless(
      is_transformers_available() and is_datasets_available()				,					'test requires the Hugging Face suite'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[Any]			):
  return unittest.skipUnless(is_bnb_available()				,					'test requires the bitsandbytes library'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]			):
  return unittest.skipUnless(is_tpu_available()				,					'test requires TPU'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							int			):
  return unittest.skipUnless(torch.cuda.device_count() == 1				,					'test requires a GPU'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]			):
  return unittest.skipUnless(torch.xpu.device_count() == 1				,					'test requires a XPU'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Any			):
  return unittest.skipUnless(torch.cuda.device_count() > 1				,					'test requires multiple GPUs'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Union[str, Any]			):
  return unittest.skipUnless(torch.xpu.device_count() > 1				,					'test requires multiple XPUs'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple			):
  return unittest.skipUnless(is_safetensors_available()				,					'test requires safetensors'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Optional[int]			):
  return unittest.skipUnless(is_deepspeed_available()				,					'test requires DeepSpeed'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]			):
  return unittest.skipUnless(is_torch_version('>='				,					'1.12.0'			)				,					'test requires torch version >= 1.12.0'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Union[str, Any]=None				,					a_	:							List[Any]=None			):
  if test_case is None:
    return partial(a_				,					version=a_			)
  return unittest.skipUnless(is_torch_version('>='				,					a_			)				,					f"test requires torch version >= {version}"			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple			):
  return unittest.skipUnless(is_tensorboard_available()				,					'test requires Tensorboard'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							int			):
  return unittest.skipUnless(is_wandb_available()				,					'test requires wandb'			)(a_			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Optional[int]			):
  return unittest.skipUnless(is_comet_ml_available()				,					'test requires comet_ml'			)(a_			)


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


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





class    __lowercase						(  unittest.TestCase ):
   _a							=      True







   @classmethod
   def 		UpperCamelCase__			(	cls      )				->    str:
     __a			=					tempfile.mkdtemp()







   @classmethod
   def 		UpperCamelCase__			(	cls      )				->    Tuple:
     if os.path.exists(cls.tmpdir      ):
       shutil.rmtree(cls.tmpdir      )







   def 		UpperCamelCase__			(	self      )				->    Optional[Any]:
     if self.clear_on_setup:
       for path in Path(self.tmpdir      ).glob('**/*'      ):
         if path.is_file():
           path.unlink()
         elif path.is_dir():
           shutil.rmtree(UpperCamelCase      )





class    __lowercase						(  unittest.TestCase ):







   def 		UpperCamelCase__			(	self      )				->    Dict:
     super().tearDown()
     # Reset the state of the AcceleratorState singleton.
     AcceleratorState._reset_state()
     PartialState._reset_state()





class    __lowercase						(  unittest.TestCase ):







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase      )				->    Union[str, Any]:
     __a			=					mocks if isinstance(UpperCamelCase      ,							(tuple, list)      ) else [mocks]
     for m in self.mocks:
       m.start()
       self.addCleanup(m.stop      )


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





class    __lowercase						:







   def __init__(	self      ,							UpperCamelCase      ,							UpperCamelCase      ,							UpperCamelCase      )				->    List[str]:
     __a			=					returncode
     __a			=					stdout
     __a			=					stderr


async def 						SCREAMING_SNAKE_CASE       (      a_	:							str				,					a_	:							Union[str, Any]			):
  while True:
    __a			=					await stream.readline()
    if line:
      callback(a_			)
    else:
      break


async def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple				,					a_	:							Optional[Any]=None				,					a_	:							List[Any]=None				,					a_	:							int=None				,					a_	:							List[Any]=False				,					a_	:							Tuple=False			):
  if echo:
    print('\nRunning: '				,					' '.join(a_			)			)

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

  # 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)

  __a			=					[]
  __a			=					[]

  def tee(a_	:							Optional[int]				,					a_	:							Dict				,					a_	:							List[Any]				,					a_	:							str=""			):
    __a			=					line.decode('utf-8'			).rstrip()
    sink.append(a_			)
    if not quiet:
      print(a_				,					a_				,					file=a_			)

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


def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple				,					a_	:							str=None				,					a_	:							Optional[int]=None				,					a_	:							Dict=180				,					a_	:							int=False				,					a_	:							Dict=True			):
  __a			=					asyncio.get_event_loop()
  __a			=					loop.run_until_complete(
      _stream_subprocess(a_				,					env=a_				,					stdin=a_				,					timeout=a_				,					quiet=a_				,					echo=a_			)			)

  __a			=					' '.join(a_			)
  if result.returncode > 0:
    __a			=					'\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						(  __magic_name__ ):
   pass


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]				,					a_	:							List[str]=False			):
  try:
    __a			=					subprocess.check_output(a_				,					stderr=subprocess.STDOUT			)
    if return_stdout:
      if hasattr(a_				,					'decode'			):
        __a			=					output.decode('utf-8'			)
      return output
  except subprocess.CalledProcessError as e:
    raise SubprocessCallException(
        f"Command `{' '.join(a_			)}` failed with the following error:\n\n{e.output.decode()}"			) from e









'''simple docstring'''


def 						SCREAMING_SNAKE_CASE       (      a_	:							str			):
  __a			=					''
  for ch in key:
    if ch == " " or ch not in key_no_dups and ch.isalpha():
      key_no_dups += ch
  return key_no_dups


def 						SCREAMING_SNAKE_CASE       (      a_	:							str			):
  __a			=					[chr(i + 65			) for i in range(26			)]
  # Remove duplicate characters from key
  __a			=					remove_duplicates(key.upper()			)
  __a			=					len(a_			)
  # First fill cipher with key characters
  __a			=					{alphabet[i]: char for i, char in enumerate(a_			)}
  # Then map remaining characters in alphabet to
  # the alphabet from the beginning
  for i in range(len(a_			)				,					26			):
    __a			=					alphabet[i - offset]
    # Ensure we are not mapping letters to letters previously mapped
    while char in key:
      offset -= 1
      __a			=					alphabet[i - offset]
    __a			=					char
  return cipher_alphabet


def 						SCREAMING_SNAKE_CASE       (      a_	:							str				,					a_	:							dict[str, str]			):
  return "".join(cipher_map.get(a_				,					a_			) for ch in message.upper()			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							str				,					a_	:							dict[str, str]			):
  __a			=					{v: k for k, v in cipher_map.items()}
  return "".join(rev_cipher_map.get(a_				,					a_			) for ch in message.upper()			)


def 						SCREAMING_SNAKE_CASE       (      ):
  __a			=					input('Enter message to encode or decode: '			).strip()
  __a			=					input('Enter keyword: '			).strip()
  __a			=					input('Encipher or decipher? E/D:'			).strip()[0].lower()
  try:
    __a			=					{'e': encipher, 'd': decipher}[option]
  except KeyError:
    raise KeyError('invalid input option'			)
  __a			=					create_cipher_map(a_			)
  print(func(a_				,					a_			)			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()



