






from collections import OrderedDict
from typing import Mapping

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


__UpperCAmelCase      =				logging.get_logger(__name__)

__UpperCAmelCase      =				{
    "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 	a_(		lowercase__	):



     """simple docstring"""



     __snake_case		:				List[Any]  					='''electra'''





     def __init__(		self					:	int  ,  lowerCAmelCase__					:	Any=3_0_5_2_2  ,  lowerCAmelCase__					:	List[str]=1_2_8  ,  lowerCAmelCase__					:	Optional[int]=2_5_6  ,  lowerCAmelCase__					:	List[str]=1_2  ,  lowerCAmelCase__					:	Dict=4  ,  lowerCAmelCase__					:	List[Any]=1_0_2_4  ,  lowerCAmelCase__					:	List[Any]="gelu"  ,  lowerCAmelCase__					:	Union[str, Any]=0.1  ,  lowerCAmelCase__					:	List[str]=0.1  ,  lowerCAmelCase__					:	Tuple=5_1_2  ,  lowerCAmelCase__					:	int=2  ,  lowerCAmelCase__					:	int=0.02  ,  lowerCAmelCase__					:	str=1e-12  ,  lowerCAmelCase__					:	List[str]="first"  ,  lowerCAmelCase__					:	Any=True  ,  lowerCAmelCase__					:	List[Any]="gelu"  ,  lowerCAmelCase__					:	Optional[Any]=0.1  ,  lowerCAmelCase__					:	List[Any]=0  ,  lowerCAmelCase__					:	List[str]="absolute"  ,  lowerCAmelCase__					:	Tuple=True  ,  lowerCAmelCase__					:	List[str]=None  ,  **lowerCAmelCase__					:	int  ,  )							->	List[str]:

      """simple docstring"""
      super().__init__(pad_token_id=lowerCAmelCase__  ,  **lowerCAmelCase__)

      SCREAMING_SNAKE_CASE				    =		vocab_size
      SCREAMING_SNAKE_CASE				    =		embedding_size
      SCREAMING_SNAKE_CASE				    =		hidden_size
      SCREAMING_SNAKE_CASE				    =		num_hidden_layers
      SCREAMING_SNAKE_CASE				    =		num_attention_heads
      SCREAMING_SNAKE_CASE				    =		intermediate_size
      SCREAMING_SNAKE_CASE				    =		hidden_act
      SCREAMING_SNAKE_CASE				    =		hidden_dropout_prob
      SCREAMING_SNAKE_CASE				    =		attention_probs_dropout_prob
      SCREAMING_SNAKE_CASE				    =		max_position_embeddings
      SCREAMING_SNAKE_CASE				    =		type_vocab_size
      SCREAMING_SNAKE_CASE				    =		initializer_range
      SCREAMING_SNAKE_CASE				    =		layer_norm_eps

      SCREAMING_SNAKE_CASE				    =		summary_type
      SCREAMING_SNAKE_CASE				    =		summary_use_proj
      SCREAMING_SNAKE_CASE				    =		summary_activation
      SCREAMING_SNAKE_CASE				    =		summary_last_dropout
      SCREAMING_SNAKE_CASE				    =		position_embedding_type
      SCREAMING_SNAKE_CASE				    =		use_cache
      SCREAMING_SNAKE_CASE				    =		classifier_dropout

class 	a_(		lowercase__	):



     """simple docstring"""



     @property
     def     __UpperCamelCase						(		self					:	List[str])							->	Mapping[str, Mapping[int, str]]:

      """simple docstring"""
      if self.task == "multiple-choice":
       SCREAMING_SNAKE_CASE				    =		{0: 'batch', 1: 'choice', 2: 'sequence'}
      else:
       SCREAMING_SNAKE_CASE				    =		{0: 'batch', 1: 'sequence'}
      return OrderedDict(
          [
              ('input_ids', dynamic_axis),
              ('attention_mask', dynamic_axis),
              ('token_type_ids', dynamic_axis),
          ])






import numpy as np
import qiskit






def     lowerCamelCase__				(   a						,						a ) ->  qiskit.QuantumCircuit:
   _A:    List[Any]						     =			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:
      _A:    Any						     =			np.random.randint(1						,						2**num_qubits )
      # Next, format 'b' as a binary string of length 'n', padded with zeros:
      _A:    int						     =			format(a						,						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(a ):
         if bit == "1":
            oracle_qc.x(a )
        # Do the controlled-NOT gates for each qubit, using the output qubit
        # as the target:
      for index in range(a ):
         oracle_qc.cx(a						,						a )
      # Next, place the final X-gates
      for index, bit in enumerate(a ):
         if bit == "1":
            oracle_qc.x(a )

    # 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)
      _A:    int						     =			np.random.randint(2 )
      if output == 1:
         oracle_qc.x(a )

   _A:    int						     =			oracle_qc.to_gate()
   _A:    str						     =			'''Oracle'''  # To show when we display the circuit
   return oracle_gate






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

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

   return dj_circuit






def     lowerCamelCase__				(   a						,						a ) ->  qiskit.result.counts.Counts:
   _A:    int						     =			qiskit.Aer.get_backend('''aer_simulator''' )

   _A:    Optional[Any]						     =			dj_oracle(a						,						a )
   _A:    int						     =			dj_algorithm(a						,						a )

   # Execute the circuit on the simulator
   _A:    int						     =			qiskit.execute(a						,						a						,						shots=10_00 )

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


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



