






"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case   :   List[Any]    		=		logging.get_logger(__name__)

snake_case   :   Optional[Any]    		=		{
    """MCG-NJU/videomae-base""": """https://huggingface.co/MCG-NJU/videomae-base/resolve/main/config.json""",
}



class 					UpperCamelCase__   (							a_):







    """simple docstring"""
    __UpperCAmelCase											=   """videomae"""







    def __init__(		self   :  List[str]							,						UpperCamelCase_   :  List[str]=2_2_4							,						UpperCamelCase_   :  int=1_6							,						UpperCamelCase_   :  int=3							,						UpperCamelCase_   :  int=1_6							,						UpperCamelCase_   :  Dict=2							,						UpperCamelCase_   :  Dict=7_6_8							,						UpperCamelCase_   :  int=1_2							,						UpperCamelCase_   :  str=1_2							,						UpperCamelCase_   :  List[str]=3_0_7_2							,						UpperCamelCase_   :  Any="gelu"							,						UpperCamelCase_   :  Dict=0.0							,						UpperCamelCase_   :  List[Any]=0.0							,						UpperCamelCase_   :  List[str]=0.02							,						UpperCamelCase_   :  int=1e-1_2							,						UpperCamelCase_   :  Tuple=True							,						UpperCamelCase_   :  List[Any]=True							,						UpperCamelCase_   :  int=6							,						UpperCamelCase_   :  List[Any]=3_8_4							,						UpperCamelCase_   :  Any=4							,						UpperCamelCase_   :  str=1_5_3_6							,						UpperCamelCase_   :  str=True							,						**UpperCamelCase_   :  List[str]							,						):





           '''simple docstring'''

           super().__init__(**UpperCamelCase_   )

           __magic_name__										=						image_size
           __magic_name__										=						patch_size
           __magic_name__										=						num_channels
           __magic_name__										=						num_frames
           __magic_name__										=						tubelet_size

           __magic_name__										=						hidden_size
           __magic_name__										=						num_hidden_layers
           __magic_name__										=						num_attention_heads
           __magic_name__										=						intermediate_size
           __magic_name__										=						hidden_act
           __magic_name__										=						hidden_dropout_prob
           __magic_name__										=						attention_probs_dropout_prob
           __magic_name__										=						initializer_range
           __magic_name__										=						layer_norm_eps
           __magic_name__										=						qkv_bias
           __magic_name__										=						use_mean_pooling

           __magic_name__										=						decoder_num_attention_heads
           __magic_name__										=						decoder_hidden_size
           __magic_name__										=						decoder_num_hidden_layers
           __magic_name__										=						decoder_intermediate_size
           __magic_name__										=						norm_pix_loss







"""simple docstring"""
import numpy as np
import qiskit


def        A	(							__snake_case:   str   ,    __snake_case:   int     )						->		qiskit.QuantumCircuit:

       """simple docstring"""





       __magic_name__										=						qiskit.QuantumCircuit(num_qubits + 1     )

       # First, let's deal with the case in which oracle is balanced
       if case == "balanced":
              # First generate a random number that tells us which CNOTs to
              # wrap in X-gates:
              __magic_name__										=						np.random.randint(1   ,    2**num_qubits     )
              # Next, format 'b' as a binary string of length 'n', padded with zeros:
              __magic_name__										=						format(__snake_case   ,    F"""0{num_qubits}b"""     )
              # Next, we place the first X-gates. Each digit in our binary string
              # corresponds to a qubit, if the digit is 0, we do nothing, if it's 1
              # we apply an X-gate to that qubit:
              for index, bit in enumerate(__snake_case     ):
                     if bit == "1":
                            oracle_qc.x(__snake_case     )
        # Do the controlled-NOT gates for each qubit, using the output qubit
        # as the target:
              for index in range(__snake_case     ):
                     oracle_qc.cx(__snake_case   ,    __snake_case     )
              # Next, place the final X-gates
              for index, bit in enumerate(__snake_case     ):
                     if bit == "1":
                            oracle_qc.x(__snake_case     )

    # Case in which oracle is constant
       if case == "constant":
              # First decide what the fixed output of the oracle will be
              # (either always 0 or always 1)
              __magic_name__										=						np.random.randint(2     )
              if output == 1:
                     oracle_qc.x(__snake_case     )

       __magic_name__										=						oracle_qc.to_gate()
       __magic_name__										=						'Oracle'  # To show when we display the circuit
       return oracle_gate


def        A	(							__snake_case:   qiskit.QuantumCircuit   ,    __snake_case:   int     )						->		qiskit.QuantumCircuit:

       """simple docstring"""





       __magic_name__										=						qiskit.QuantumCircuit(num_qubits + 1   ,    __snake_case     )
       # Set up the output qubit:
       dj_circuit.x(__snake_case     )
       dj_circuit.h(__snake_case     )
       # And set up the input register:
       for qubit in range(__snake_case     ):
              dj_circuit.h(__snake_case     )
       # Let's append the oracle gate to our circuit:
       dj_circuit.append(__snake_case   ,    range(num_qubits + 1     )     )
       # Finally, perform the H-gates again and measure:
       for qubit in range(__snake_case     ):
              dj_circuit.h(__snake_case     )

       for i in range(__snake_case     ):
              dj_circuit.measure(__snake_case   ,    __snake_case     )

       return dj_circuit


def        A	(							__snake_case:   str   ,    __snake_case:   int     )						->		qiskit.result.counts.Counts:

       """simple docstring"""





       __magic_name__										=						qiskit.Aer.get_backend('aer_simulator'     )

       __magic_name__										=						dj_oracle(__snake_case   ,    __snake_case     )
       __magic_name__										=						dj_algorithm(__snake_case   ,    __snake_case     )

       # Execute the circuit on the simulator
       __magic_name__										=						qiskit.execute(__snake_case   ,    __snake_case   ,    shots=1_0_0_0     )

       # Return the histogram data of the results of the experiment.
       return job.result().get_counts(__snake_case     )


if __name__ == "__main__":
 print(f"""Deutsch Jozsa - Constant Oracle: {deutsch_jozsa('constant', 3)}""")
 print(f"""Deutsch Jozsa - Balanced Oracle: {deutsch_jozsa('balanced', 3)}""")