





'''simple docstring'''



import numpy as np

from transformers import Pipeline




def 					snake_case_   (		SCREAMING_SNAKE_CASE__							):







  '''simple docstring'''



  _snake_case  		=					np.max(SCREAMING_SNAKE_CASE__       ,						axis=-1       ,						keepdims=SCREAMING_SNAKE_CASE__							)
  _snake_case  		=					np.exp(outputs - maxes							)
  return shifted_exp / shifted_exp.sum(axis=-1       ,						keepdims=SCREAMING_SNAKE_CASE__							)




class    __SCREAMING_SNAKE_CASE						(    SCREAMING_SNAKE_CASE__      ):



     '''simple docstring'''






     def 						UpperCamelCase(       self    , **lowerCamelCase						):
       _snake_case  		=					{}
       if "second_text" in kwargs:
         _snake_case  		=					kwargs["second_text"]
       return preprocess_kwargs, {}, {}

     def 						UpperCamelCase(       self    , lowerCamelCase    , lowerCamelCase=None						):
       return self.tokenizer(lowerCamelCase    , text_pair=lowerCamelCase    , return_tensors=self.framework						)

     def 						UpperCamelCase(       self    , lowerCamelCase						):
       return self.model(**lowerCamelCase						)






     def 						UpperCamelCase(       self    , lowerCamelCase						):
       _snake_case  		=					model_outputs.logits[0].numpy()
       _snake_case  		=					softmax(lowerCamelCase						)

       _snake_case  		=					np.argmax(lowerCamelCase						)
       _snake_case  		=					self.model.config.idalabel[best_class]
       _snake_case  		=					probabilities[best_class].item()
       _snake_case  		=					logits.tolist()
       return {"label": label, "score": score, "logits": logits}








import qiskit

def lowercase    (  SCREAMING_SNAKE_CASE = 2 )			->							qiskit.result.counts.Counts:


			'''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=10_00 )

			return job.result().get_counts(SCREAMING_SNAKE_CASE )


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