
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a   :      Optional[Any]       =				logging.get_logger(__name__)

_a   :      Dict       =				{
    """google/electra-small-generator""": """https://huggingface.co/google/electra-small-generator/resolve/main/config.json""",
    """google/electra-base-generator""": """https://huggingface.co/google/electra-base-generator/resolve/main/config.json""",
    """google/electra-large-generator""": """https://huggingface.co/google/electra-large-generator/resolve/main/config.json""",
    """google/electra-small-discriminator""": (
        """https://huggingface.co/google/electra-small-discriminator/resolve/main/config.json"""
    ),
    """google/electra-base-discriminator""": (
        """https://huggingface.co/google/electra-base-discriminator/resolve/main/config.json"""
    ),
    """google/electra-large-discriminator""": (
        """https://huggingface.co/google/electra-large-discriminator/resolve/main/config.json"""
    ),
}






class   _UpperCAmelCase					(       _snake_case):
    __lowercase				:			Tuple	=       """electra"""
    def __init__(     self    ,     snake_case_=3_05_22    ,     snake_case_=1_28    ,     snake_case_=2_56    ,     snake_case_=12    ,     snake_case_=4    ,     snake_case_=10_24    ,     snake_case_="gelu"    ,     snake_case_=0.1    ,     snake_case_=0.1    ,     snake_case_=5_12    ,     snake_case_=2    ,     snake_case_=0.02    ,     snake_case_=1E-12    ,     snake_case_="first"    ,     snake_case_=True    ,     snake_case_="gelu"    ,     snake_case_=0.1    ,     snake_case_=0    ,     snake_case_="absolute"    ,     snake_case_=True    ,     snake_case_=None    ,     **snake_case_    ,     ):
      super().__init__(pad_token_id=snake_case_    ,     **snake_case_  )

      _snake_case  :    List[Any]            = vocab_size
      _snake_case  :    int            = embedding_size
      _snake_case  :    Optional[int]            = hidden_size
      _snake_case  :    int            = num_hidden_layers
      _snake_case  :    int            = num_attention_heads
      _snake_case  :    Union[str, Any]            = intermediate_size
      _snake_case  :    Tuple            = hidden_act
      _snake_case  :    Tuple            = hidden_dropout_prob
      _snake_case  :    Dict            = attention_probs_dropout_prob
      _snake_case  :    int            = max_position_embeddings
      _snake_case  :    str            = type_vocab_size
      _snake_case  :    Union[str, Any]            = initializer_range
      _snake_case  :    str            = layer_norm_eps

      _snake_case  :    Any            = summary_type
      _snake_case  :    Optional[Any]            = summary_use_proj
      _snake_case  :    List[Any]            = summary_activation
      _snake_case  :    List[str]            = summary_last_dropout
      _snake_case  :    Any            = position_embedding_type
      _snake_case  :    str            = use_cache
      _snake_case  :    Any            = classifier_dropout






class   _UpperCAmelCase					(       _snake_case):
    @property
    def        lowerCamelCase__						(     self  ):
      if self.task == "multiple-choice":
        _snake_case  :    Tuple            = {0: "batch", 1: "choice", 2: "sequence"}
      else:
        _snake_case  :    Tuple            = {0: "batch", 1: "sequence"}
      return OrderedDict(
          [
              ("input_ids", dynamic_axis),
              ("attention_mask", dynamic_axis),
              ("token_type_ids", dynamic_axis),
          ]  )



'''simple docstring'''





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

def   A			(							A_				:       float = np.pi / 2     ,				A_				:       float = np.pi / 2     ,				A_				:       float = np.pi / 2							):
						snake_case							:  List[Any]			=     QuantumRegister(3     ,				'''qr'''							)  # Define the number of quantum bits
						snake_case							:  List[Any]			=     ClassicalRegister(1     ,				'''cr'''							)  # Define the number of classical bits

						snake_case							:  Dict			=     QuantumCircuit(A_     ,				A_							)  # Define the quantum circuit.

						# Build the circuit
						quantum_circuit.u(A_     ,				A_     ,				A_     ,				0							)  # Quantum State to teleport
						quantum_circuit.h(1							)  # add hadamard gate
						quantum_circuit.cx(
						    1     ,				2							)  # add control gate with qubit 1 as control and 2 as target.
						quantum_circuit.cx(0     ,				1							)
						quantum_circuit.h(0							)
						quantum_circuit.cz(0     ,				2							)  # add control z gate.
						quantum_circuit.cx(1     ,				2							)

						quantum_circuit.measure([2]     ,				[0]							)  # measure the qubit.

						# Simulate the circuit using qasm simulator
						snake_case							:  str			=     Aer.get_backend('''aer_simulator'''							)
						snake_case							:  List[str]			=     execute(A_     ,				A_     ,				shots=1000							)

						return job.result().get_counts(A_							)


if __name__ == "__main__":
						print(
						    "Total count for teleported state is: "
						    f'''{quantum_teleportation(np.pi/2, np.pi/2, np.pi/2)}'''
						)

