



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


A__  :  List[Any]								=					parse_flag_from_env('''RUN_SLOW''', default=False)


def 			UpperCamelCase(  __UpperCamelCase							:		List[Any] ):
		return unittest.skip('''Test was skipped''' )(__UpperCamelCase )


def 			UpperCamelCase(  __UpperCamelCase							:		str ):
		return unittest.skipUnless(_run_slow_tests     ,'''test is slow''' )(__UpperCamelCase )


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


def 			UpperCamelCase(  __UpperCamelCase							:		Any ):
		return unittest.skipUnless(torch.cuda.is_available()     ,'''test requires a GPU''' )(__UpperCamelCase )


def 			UpperCamelCase(  __UpperCamelCase							:		str ):
		return unittest.skipUnless(is_xpu_available()     ,'''test requires a XPU''' )(__UpperCamelCase )


def 			UpperCamelCase(  __UpperCamelCase							:		Union[str, Any] ):
		return unittest.skipUnless(is_mps_available()     ,'''test requires a `mps` backend support in `torch`''' )(__UpperCamelCase )


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


def 			UpperCamelCase(  __UpperCamelCase							:		Optional[Any] ):
		return unittest.skipUnless(is_bnb_available()     ,'''test requires the bitsandbytes library''' )(__UpperCamelCase )


def 			UpperCamelCase(  __UpperCamelCase							:		Any ):
		return unittest.skipUnless(is_tpu_available()     ,'''test requires TPU''' )(__UpperCamelCase )


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


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


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


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


def 			UpperCamelCase(  __UpperCamelCase							:		Tuple ):
		return unittest.skipUnless(is_safetensors_available()     ,'''test requires safetensors''' )(__UpperCamelCase )


def 			UpperCamelCase(  __UpperCamelCase							:		str ):
		return unittest.skipUnless(is_deepspeed_available()     ,'''test requires DeepSpeed''' )(__UpperCamelCase )


def 			UpperCamelCase(  __UpperCamelCase							:		Tuple ):
		return unittest.skipUnless(is_torch_version('''>='''     ,'''1.12.0''' )     ,'''test requires torch version >= 1.12.0''' )(__UpperCamelCase )


def 			UpperCamelCase(  __UpperCamelCase							:		Any=None     ,__UpperCamelCase							:		str=None ):
		if test_case is None:
				return partial(__UpperCamelCase     ,version=__UpperCamelCase )
		return unittest.skipUnless(is_torch_version('''>='''     ,__UpperCamelCase )     ,f"""test requires torch version >= {version}""" )(__UpperCamelCase )


def 			UpperCamelCase(  __UpperCamelCase							:		Dict ):
		return unittest.skipUnless(is_tensorboard_available()     ,'''test requires Tensorboard''' )(__UpperCamelCase )


def 			UpperCamelCase(  __UpperCamelCase							:		Tuple ):
		return unittest.skipUnless(is_wandb_available()     ,'''test requires wandb''' )(__UpperCamelCase )


def 			UpperCamelCase(  __UpperCamelCase							:		Tuple ):
		return unittest.skipUnless(is_comet_ml_available()     ,'''test requires comet_ml''' )(__UpperCamelCase )


A__  :  str								=					(
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)


def 			UpperCamelCase(  __UpperCamelCase							:		Optional[Any] ):
		return unittest.skipUnless(
		    _atleast_one_tracker_available     ,'''test requires at least one tracker to be available and for `comet_ml` to not be installed'''     ,)(__UpperCamelCase )



class 				__snake_case						(     unittest.TestCase						):
							_a			      = True




							@classmethod
							def    UpperCAmelCase__			(       cls     :       List[str]):
									lowerCAmelCase_			:     List[str]									= tempfile.mkdtemp()




							@classmethod
							def    UpperCAmelCase__			(       cls     :       List[str]):
									if os.path.exists(cls.tmpdir):
											shutil.rmtree(cls.tmpdir)







							def    UpperCAmelCase__			(       self     :       Tuple):
									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 				__snake_case						(     unittest.TestCase						):




							def    UpperCAmelCase__			(       self     :       Optional[Any]):
									super().tearDown()
									# Reset the state of the AcceleratorState singleton.
									AcceleratorState._reset_state()
									PartialState._reset_state()





class 				__snake_case						(     unittest.TestCase						):




							def    UpperCAmelCase__			(       self     :       Dict				,				A_     :       Union[mock.Mock, List[mock.Mock]]):
									lowerCAmelCase_			:     List[Any]									= mocks if isinstance(A_				,				(tuple, list)) else [mocks]
									for m in self.mocks:
											m.start()
											self.addCleanup(m.stop)





def 			UpperCamelCase(  __UpperCamelCase							:		Dict ):
		lowerCAmelCase_			:     Optional[int]									= AcceleratorState()
		lowerCAmelCase_			:     List[Any]									= tensor[None].clone().to(state.device )
		lowerCAmelCase_			:     Dict									= gather(__UpperCamelCase ).cpu()
		lowerCAmelCase_			:     List[str]									= tensor[0].cpu()
		for i in range(tensors.shape[0] ):
				if not torch.equal(tensors[i]     ,__UpperCamelCase ):
						return False
		return True



class 				__snake_case						:




							def __init__(       self     :       Union[str, Any]				,				A_     :       Union[str, Any]				,				A_     :       int				,				A_     :       Union[str, Any]):
									lowerCAmelCase_			:     str									= returncode
									lowerCAmelCase_			:     List[Any]									= stdout
									lowerCAmelCase_			:     str									= stderr





async def 			UpperCamelCase(  __UpperCamelCase							:		int     ,__UpperCamelCase							:		List[str] ):
		while True:
				lowerCAmelCase_			:     List[str]									= await stream.readline()
				if line:
						callback(__UpperCamelCase )
				else:
						break


async def 			UpperCamelCase(  __UpperCamelCase							:		List[Any]     ,__UpperCamelCase							:		Tuple=None     ,__UpperCamelCase							:		List[str]=None     ,__UpperCamelCase							:		List[str]=None     ,__UpperCamelCase							:		List[str]=False     ,__UpperCamelCase							:		List[Any]=False ):
		if echo:
				print('''\nRunning: '''     ,''' '''.join(__UpperCamelCase ) )

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

		# 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)

		lowerCAmelCase_			:     str									= []
		lowerCAmelCase_			:     List[str]									= []

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

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


def 			UpperCamelCase(  __UpperCamelCase							:		str     ,__UpperCamelCase							:		int=None     ,__UpperCamelCase							:		int=None     ,__UpperCamelCase							:		Tuple=180     ,__UpperCamelCase							:		int=False     ,__UpperCamelCase							:		Optional[int]=True ):
		lowerCAmelCase_			:     List[str]									= asyncio.get_event_loop()
		lowerCAmelCase_			:     Union[str, Any]									= loop.run_until_complete(
		    _stream_subprocess(__UpperCamelCase     ,env=__UpperCamelCase     ,stdin=__UpperCamelCase     ,timeout=__UpperCamelCase     ,quiet=__UpperCamelCase     ,echo=__UpperCamelCase ) )

		lowerCAmelCase_			:     Dict									= ''' '''.join(__UpperCamelCase )
		if result.returncode > 0:
				lowerCAmelCase_			:     List[str]									= '''\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 				__snake_case						(     UpperCamelCase_						):
							pass





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






"""simple docstring"""




import numpy as np
import qiskit





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       int = 8			,_lowerCamelCase						:       int | None = None	)       ->      str:
  _lowerCAmelCase						:       int  			=     np.random.default_rng(seed=_lowerCamelCase	)

  # Roughly 25% of the qubits will contribute to the key.
  # So we take more than we need.
  _lowerCAmelCase						:       Tuple  			=     6 * key_len
  # Measurement basis for Alice's qubits.
  _lowerCAmelCase						:       Dict  			=     rng.integers(2			,size=_lowerCamelCase	)
  # The set of states Alice will prepare.
  _lowerCAmelCase						:       Tuple  			=     rng.integers(2			,size=_lowerCamelCase	)
  # Measurement basis for Bob's qubits.
  _lowerCAmelCase						:       Union[str, Any]  			=     rng.integers(2			,size=_lowerCamelCase	)

  # Quantum Circuit to simulate BB84
  _lowerCAmelCase						:       Dict  			=     qiskit.QuantumCircuit(_lowerCamelCase			,name="""BB84"""	)

  # Alice prepares her qubits according to rules above.
  for index, _ in enumerate(_lowerCamelCase	):
    if alice_state[index] == 1:
      bbaa_circ.x(_lowerCamelCase	)
    if alice_basis[index] == 1:
      bbaa_circ.h(_lowerCamelCase	)
  bbaa_circ.barrier()

  # Bob measures the received qubits according to rules above.
  for index, _ in enumerate(_lowerCamelCase	):
    if bob_basis[index] == 1:
      bbaa_circ.h(_lowerCamelCase	)

  bbaa_circ.barrier()
  bbaa_circ.measure_all()

  # Simulate the quantum circuit.
  _lowerCAmelCase						:       int  			=     qiskit.Aer.get_backend("""aer_simulator"""	)
  # We only need to run one shot because the key is unique.
  # Multiple shots will produce the same key.
  _lowerCAmelCase						:       List[str]  			=     qiskit.execute(_lowerCamelCase			,_lowerCamelCase			,shots=1			,seed_simulator=_lowerCamelCase	)
  # Returns the result of measurement.
  _lowerCAmelCase						:       List[Any]  			=     job.result().get_counts(_lowerCamelCase	).most_frequent()

  # Extracting the generated key from the simulation results.
  # Only keep measurement results where Alice and Bob chose the same basis.
  _lowerCAmelCase						:       str  			=     """""".join(
      [
          result_bit
          for alice_basis_bit, bob_basis_bit, result_bit in zip(
              _lowerCamelCase			,_lowerCamelCase			,_lowerCamelCase	)
          if alice_basis_bit == bob_basis_bit
      ]	)

  # Get final key. Pad with 0 if too short, otherwise truncate.
  _lowerCAmelCase						:       List[Any]  			=     gen_key[:key_len] if len(_lowerCamelCase	) >= key_len else gen_key.ljust(_lowerCamelCase			,"""0"""	)
  return key


if __name__ == "__main__":
     print(F"""The generated key is : {bbaa(8, seed=0)}""")
     from doctest import testmod

     testmod()




