

import qiskit


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		int = 2       ):





				"""simple docstring"""


				SCREAMING_SNAKE_CASE_									=						qubits

				# Using Aer's simulator
				SCREAMING_SNAKE_CASE_									=						qiskit.Aer.get_backend('aer_simulator'       )

				# Creating a Quantum Circuit acting on the q register
				SCREAMING_SNAKE_CASE_									=						qiskit.QuantumCircuit(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )

				# Adding a H gate on qubit 0 (now q0 in superposition)
				circuit.h(0       )

				for i in range(1 ,   _SCREAMING_SNAKE_CASE       ):
								# Adding CX (CNOT) gate
								circuit.cx(i - 1 ,   _SCREAMING_SNAKE_CASE       )

				# Mapping the quantum measurement to the classical bits
				circuit.measure(list(range(_SCREAMING_SNAKE_CASE       )       ) ,   list(range(_SCREAMING_SNAKE_CASE       )       )       )

				# Now measuring any one qubit would affect other qubits to collapse
				# their super position and have same state as the measured one.

				# Executing the circuit on the simulator
				SCREAMING_SNAKE_CASE_									=						qiskit.execute(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE ,   shots=1_000       )

				return job.result().get_counts(_SCREAMING_SNAKE_CASE       )


if __name__ == "__main__":
							print(F'Total count for various states are: {quantum_entanglement(3)}')





from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__  :      str			=    logging.get_logger(__name__)

UpperCamelCase__  :      Optional[int]			=    {
    "facebook/dpr-ctx_encoder-single-nq-base": (
        "https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"
    ),
    "facebook/dpr-question_encoder-single-nq-base": (
        "https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"
    ),
    "facebook/dpr-reader-single-nq-base": (
        "https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"
    ),
    "facebook/dpr-ctx_encoder-multiset-base": (
        "https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"
    ),
    "facebook/dpr-question_encoder-multiset-base": (
        "https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"
    ),
    "facebook/dpr-reader-multiset-base": (
        "https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"
    ),
}



class       __snake_case  (    lowerCAmelCase__       ):
  __lowerCAmelCase     :	Optional[int]						 =  'dpr'

  def __init__(					self						,		_A=30522						,		_A=768						,		_A=12						,		_A=12						,		_A=3072						,		_A="gelu"						,		_A=0.1						,		_A=0.1						,		_A=512						,		_A=2						,		_A=0.0_2						,		_A=1E-12						,		_A=0						,		_A="absolute"						,		_A = 0						,		**_A						,		):
      super().__init__(pad_token_id=_A						,		**_A)

      SCREAMING_SNAKE_CASE_									=						vocab_size
      SCREAMING_SNAKE_CASE_									=						hidden_size
      SCREAMING_SNAKE_CASE_									=						num_hidden_layers
      SCREAMING_SNAKE_CASE_									=						num_attention_heads
      SCREAMING_SNAKE_CASE_									=						hidden_act
      SCREAMING_SNAKE_CASE_									=						intermediate_size
      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_									=						projection_dim
      SCREAMING_SNAKE_CASE_									=						position_embedding_type


