




"""simple docstring"""







import math

import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute





def 							lowercase					(snake_case__   : int = 3 )     ->  qiskit.result.counts.Counts:


				'''simple docstring'''






				if isinstance(snake_case__      ,       snake_case__ ):
								raise TypeError("""number of qubits must be a integer.""" )
				if number_of_qubits <= 0:
								raise ValueError("""number of qubits must be > 0.""" )
				if math.floor(snake_case__ ) != number_of_qubits:
								raise ValueError("""number of qubits must be exact integer.""" )
				if number_of_qubits > 10:
								raise ValueError("""number of qubits too large to simulate(>10).""" )

				lowerCAmelCase  =				QuantumRegister(snake_case__      ,       """qr""" )
				lowerCAmelCase  =				ClassicalRegister(snake_case__      ,       """cr""" )

				lowerCAmelCase  =				QuantumCircuit(snake_case__      ,       snake_case__ )

				lowerCAmelCase  =				number_of_qubits

				for i in range(snake_case__ ):
								quantum_circuit.h(number_of_qubits - i - 1 )
								counter -= 1
								for j in range(snake_case__ ):
												quantum_circuit.cp(np.pi / 2 ** (counter - j)      ,       snake_case__      ,       snake_case__ )

				for k in range(number_of_qubits // 2 ):
								quantum_circuit.swap(snake_case__      ,       number_of_qubits - k - 1 )

				# measure all the qubits
				quantum_circuit.measure(snake_case__      ,       snake_case__ )
				# simulate with 10000 shots
				lowerCAmelCase  =				Aer.get_backend("""qasm_simulator""" )
				lowerCAmelCase  =				execute(snake_case__      ,       snake_case__      ,       shots=10_000 )

				return job.result().get_counts(snake_case__ )


if __name__ == "__main__":
		print(
		    f"""Total count for quantum fourier transform state is: \
    {quantum_fourier_transform(3)}"""
		)











"""simple docstring"""







# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


a      =							'Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine'





def 							lowercase					()     ->  Optional[Any]:


				'''simple docstring'''






				lowerCAmelCase  =				_ask_options(
				    """In which compute environment are you running?"""      ,       ["""This machine""", """AWS (Amazon SageMaker)"""]      ,       _convert_compute_environment      ,       )
				if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
								lowerCAmelCase  =				get_sagemaker_input()
				else:
								lowerCAmelCase  =				get_cluster_input()
				return config





def 							lowercase					(snake_case__   : List[str]=None )     ->  int:


				'''simple docstring'''






				if subparsers is not None:
								lowerCAmelCase  =				subparsers.add_parser("""config"""      ,       description=snake_case__ )
				else:
								lowerCAmelCase  =				argparse.ArgumentParser("""Accelerate config command"""      ,       description=snake_case__ )

				parser.add_argument(
				    """--config_file"""      ,       default=snake_case__      ,       help=(
				        """The path to use to store the config file. Will default to a file named default_config.yaml in the cache """
				        """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
				        """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
				        """with 'huggingface'."""
				    )      ,       )

				if subparsers is not None:
								parser.set_defaults(func=snake_case__ )
				return parser





def 							lowercase					(snake_case__   : str )     ->  Optional[Any]:


				'''simple docstring'''






				lowerCAmelCase  =				get_user_input()
				if args.config_file is not None:
								lowerCAmelCase  =				args.config_file
				else:
								if not os.path.isdir(snake_case__ ):
												os.makedirs(snake_case__ )
								lowerCAmelCase  =				default_yaml_config_file

				if config_file.endswith(""".json""" ):
								config.to_json_file(snake_case__ )
				else:
								config.to_yaml_file(snake_case__ )
				print(f'''accelerate configuration saved at {config_file}''' )





def 							lowercase					()     ->  Optional[int]:


				'''simple docstring'''






				lowerCAmelCase  =				config_command_parser()
				lowerCAmelCase  =				parser.parse_args()
				config_command(snake_case__ )


if __name__ == "__main__":
		main()





