

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)}')





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


UpperCamelCase__  :      int			=    "\nHugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]\n"



class       __snake_case  (    unittest.TestCase     , lowerCAmelCase__       ):

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						load_tool('text-question-answering')
      self.tool.setup()
      SCREAMING_SNAKE_CASE_									=						load_tool('text-question-answering'						,		remote=_A)

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						self.tool(_A						,		'What did Hugging Face do in April 2021?')
      self.assertEqual(_A						,		'launched the BigScience Research Workshop')

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						self.remote_tool(_A						,		'What did Hugging Face do in April 2021?')
      self.assertEqual(_A						,		'launched the BigScience Research Workshop')

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						self.tool(text=_A						,		question='What did Hugging Face do in April 2021?')
      self.assertEqual(_A						,		'launched the BigScience Research Workshop')


  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						self.remote_tool(text=_A						,		question='What did Hugging Face do in April 2021?')
      self.assertEqual(_A						,		'launched the BigScience Research Workshop')


