



'''simple docstring'''




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


UpperCamelCase__ :			Any												=				logging.get_logger(__name__)

UpperCamelCase__ :			Dict												=				{
    '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/config.json''',
    # See all XGLM models at https://huggingface.co/models?filter=xglm
}






class 		_UpperCamelCase						(							lowerCamelCase__					):


			'''simple docstring'''

			_A   :	List[str]    					=	'''xglm'''
			_A   :	Optional[int]    					=	['''past_key_values''']

			_A   :	List[str]    					=	{
			    '''num_attention_heads''': '''attention_heads''',
			    '''hidden_size''': '''d_model''',
			    '''num_hidden_layers''': '''num_layers''',
			}

			def __init__(							self  :				Optional[int]							,  lowerCAmelCase__  :				Optional[int]=2_5_6_0_0_8							,  lowerCAmelCase__  :				Optional[Any]=2_0_4_8							,  lowerCAmelCase__  :				str=1_0_2_4							,  lowerCAmelCase__  :				Tuple=4_0_9_6							,  lowerCAmelCase__  :				Optional[int]=2_4							,  lowerCAmelCase__  :				Dict=1_6							,  lowerCAmelCase__  :				List[str]="gelu"							,  lowerCAmelCase__  :				Dict=0.1							,  lowerCAmelCase__  :				List[str]=0.1							,  lowerCAmelCase__  :				Union[str, Any]=0.0							,  lowerCAmelCase__  :				str=0.0							,  lowerCAmelCase__  :				Union[str, Any]=0.02							,  lowerCAmelCase__  :				Optional[int]=True							,  lowerCAmelCase__  :				str=True							,  lowerCAmelCase__  :				Optional[int]=2							,  lowerCAmelCase__  :				int=1							,  lowerCAmelCase__  :				Tuple=0							,  lowerCAmelCase__  :				List[Any]=2							,  **lowerCAmelCase__  :				Dict							,  ):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	int					 =	vocab_size
					__SCREAMING_SNAKE_CASE :	Dict					 =	max_position_embeddings
					__SCREAMING_SNAKE_CASE :	str					 =	d_model
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	ffn_dim
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	num_layers
					__SCREAMING_SNAKE_CASE :	List[str]					 =	attention_heads
					__SCREAMING_SNAKE_CASE :	int					 =	activation_function
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	dropout
					__SCREAMING_SNAKE_CASE :	Any					 =	attention_dropout
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	activation_dropout
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	layerdrop
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	init_std
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	scale_embedding  # scale factor will be sqrt(d_model) if True
					__SCREAMING_SNAKE_CASE :	int					 =	use_cache

					super().__init__(
					    pad_token_id=lowerCAmelCase__							,  bos_token_id=lowerCAmelCase__							,  eos_token_id=lowerCAmelCase__							,  decoder_start_token_id=lowerCAmelCase__							,  **lowerCAmelCase__							,  )




'''simple docstring'''




import qiskit


def        lowerCAmelCase_     (			_lowerCamelCase:     int = 2      ):
		__SCREAMING_SNAKE_CASE :	Dict					 =	qubits

		# Using Aer's simulator
		__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	qiskit.Aer.get_backend("""aer_simulator"""      )

		# Creating a Quantum Circuit acting on the q register
		__SCREAMING_SNAKE_CASE :	str					 =	qiskit.QuantumCircuit(_lowerCamelCase ,   _lowerCamelCase      )

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

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

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

		# 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 :	str					 =	qiskit.execute(_lowerCamelCase ,   _lowerCamelCase ,   shots=10_00      )

		return job.result().get_counts(_lowerCamelCase      )


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