
'''simple docstring'''

import doctest

import projectq
from projectq.ops import H, Measure







def 						snake_case__	(      UpperCamelCase	) ->      int:
		_UpperCamelCase       : Optional[int]    =      quantum_engine.allocate_qubit()
		H | qubit
		Measure | qubit
		return int(UpperCamelCase	)


if __name__ == "__main__":
	doctest.testmod()

	# initialises a new quantum backend
	_UpperCAmelCase   :      Optional[Any] 						=  projectq.MainEngine()

	# Generate a list of 10 random numbers
	_UpperCAmelCase   :      int 						=  [get_random_number(quantum_engine) for _ in range(10)]

	# Flushes the quantum engine from memory
	quantum_engine.flush()

	print("""Random numbers""", random_numbers_list)







'''simple docstring'''

_UpperCAmelCase   :      Optional[int] 						=  """
# Transformers installation
! pip install transformers datasets evaluate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

_UpperCAmelCase   :      Union[str, Any] 						=  [{"""type""": """code""", """content""": INSTALL_CONTENT}]
_UpperCAmelCase   :      Union[str, Any] 						=  {
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}





