
'''simple docstring'''




import math

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







def 						lowerCAmelCase_							(  snake_case__ = 3		):




    '''simple docstring'''



    if isinstance(A__						,							A__		):
        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(A__		) != 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).'''		)

    A			:  int   =		QuantumRegister(A__						,							'''qr'''		)
    A			:  int   =		ClassicalRegister(A__						,							'''cr'''		)

    A			:  Optional[Any]   =		QuantumCircuit(A__						,							A__		)

    A			:  Any   =		number_of_qubits

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

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

    # measure all the qubits
    quantum_circuit.measure(A__						,							A__		)
    # simulate with 10000 shots
    A			:  Optional[int]   =		Aer.get_backend('''qasm_simulator'''		)
    A			:  Dict   =		execute(A__						,							A__						,							shots=1_0000		)

    return job.result().get_counts(A__		)


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









from argparse import ArgumentParser

from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_to_tf import PTtoTFCommand
from .run import RunCommand
from .serving import ServeCommand
from .user import UserCommands

def 	_lowerCAmelCase (    ):
      lowercase__  =	ArgumentParser('Transformers CLI tool'    ,	usage='transformers-cli <command> [<args>]'						)
      lowercase__  =	parser.add_subparsers(help='transformers-cli command helpers'						)

      # Register commands
      ConvertCommand.register_subcommand(A__						)
      DownloadCommand.register_subcommand(A__						)
      EnvironmentCommand.register_subcommand(A__						)
      RunCommand.register_subcommand(A__						)
      ServeCommand.register_subcommand(A__						)
      UserCommands.register_subcommand(A__						)
      AddNewModelCommand.register_subcommand(A__						)
      AddNewModelLikeCommand.register_subcommand(A__						)
      LfsCommands.register_subcommand(A__						)
      PTtoTFCommand.register_subcommand(A__						)

      # Let's go
      lowercase__  =	parser.parse_args()

      if not hasattr(A__    ,	'func'						):
            parser.print_help()
            exit(1						)

      # Run
      lowercase__  =	args.func(A__						)
      service.run()


if __name__ == "__main__":
       main()
