




from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


_lowerCamelCase			 =						datasets.utils.logging.get_logger(__name__)



class 			a     (   folder_based_builder.FolderBasedBuilderConfig			):

     '''simple docstring'''





     lowerCAmelCase				:       bool   		=  None
     lowerCAmelCase				:       bool   		=  None



class 			a     (   folder_based_builder.FolderBasedBuilder			):

     '''simple docstring'''





     lowerCAmelCase				:       List[Any]   		=  datasets.Image()
     lowerCAmelCase				:       List[Any]   		=  'image'
     lowerCAmelCase				:       List[Any]   		=  ImageFolderConfig
     lowerCAmelCase				:       List[str]  # definition at the bottom of the script
     lowerCAmelCase				:       Dict   		=  ImageClassification(image_column='image'	,   label_column='label'			)


_lowerCamelCase			 =						[
    '.blp',
    '.bmp',
    '.dib',
    '.bufr',
    '.cur',
    '.pcx',
    '.dcx',
    '.dds',
    '.ps',
    '.eps',
    '.fit',
    '.fits',
    '.fli',
    '.flc',
    '.ftc',
    '.ftu',
    '.gbr',
    '.gif',
    '.grib',
    '.h5',
    '.hdf',
    '.png',
    '.apng',
    '.jp2',
    '.j2k',
    '.jpc',
    '.jpf',
    '.jpx',
    '.j2c',
    '.icns',
    '.ico',
    '.im',
    '.iim',
    '.tif',
    '.tiff',
    '.jfif',
    '.jpe',
    '.jpg',
    '.jpeg',
    '.mpg',
    '.mpeg',
    '.msp',
    '.pcd',
    '.pxr',
    '.pbm',
    '.pgm',
    '.ppm',
    '.pnm',
    '.psd',
    '.bw',
    '.rgb',
    '.rgba',
    '.sgi',
    '.ras',
    '.tga',
    '.icb',
    '.vda',
    '.vst',
    '.webp',
    '.wmf',
    '.emf',
    '.xbm',
    '.xpm',
]
_lowerCamelCase			 =						IMAGE_EXTENSIONS











import math

import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						int = 1       ,     __UpperCamelCase			:						int = 1      )  ->							qiskit.result.counts.Counts:
    if isinstance(__UpperCamelCase       ,     __UpperCamelCase      ) or isinstance(__UpperCamelCase       ,     __UpperCamelCase      ):
        raise TypeError('''inputs must be integers.'''      )
    if (bit_a < 0) or (bit_a < 0):
        raise ValueError('''inputs must be positive.'''      )
    if (math.floor(__UpperCamelCase      ) != bit_a) or (math.floor(__UpperCamelCase      ) != bit_a):
        raise ValueError('''inputs must be exact integers.'''      )
    if (bit_a > 1) or (bit_a > 1):
        raise ValueError('''inputs must be less or equal to 1.'''      )

    # build registers
    UpperCAmelCase_							 =     QuantumRegister(2       ,     '''qr'''      )
    UpperCAmelCase_							 =     ClassicalRegister(2       ,     '''cr'''      )

    UpperCAmelCase_							 =     QuantumCircuit(__UpperCamelCase       ,     __UpperCamelCase      )

    # entanglement the qubits
    quantum_circuit.h(1      )
    quantum_circuit.cx(1       ,     0      )

    # send the information
    UpperCAmelCase_							 =     str(__UpperCamelCase      ) + str(__UpperCamelCase      )

    if c_information == "11":
        quantum_circuit.x(1      )
        quantum_circuit.z(1      )
    elif c_information == "10":
        quantum_circuit.z(1      )
    elif c_information == "01":
        quantum_circuit.x(1      )
    else:
        quantum_circuit.i(1      )

    # unentangled the circuit
    quantum_circuit.cx(1       ,     0      )
    quantum_circuit.h(1      )

    # measure the circuit
    quantum_circuit.measure(__UpperCamelCase       ,     __UpperCamelCase      )

    UpperCAmelCase_							 =     Aer.get_backend('''aer_simulator'''      )
    UpperCAmelCase_							 =     execute(__UpperCamelCase       ,     __UpperCamelCase       ,     shots=1000      )

    return job.result().get_counts(__UpperCamelCase      )


if __name__ == "__main__":
 print(F"Counts for classical state send: {superdense_coding(1,1)}")





