




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


SCREAMING_SNAKE_CASE__     :     Optional[Any]		    =       logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__     :     int		    =       {
    "microsoft/markuplm-base": "https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json",
    "microsoft/markuplm-large": "https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json",
}



class       a_       (     SCREAMING_SNAKE_CASE__     ):
	A    							= '''markuplm'''





	def __init__(							self      ,     SCREAMING_SNAKE_CASE=3_0522      ,     SCREAMING_SNAKE_CASE=768      ,     SCREAMING_SNAKE_CASE=12      ,     SCREAMING_SNAKE_CASE=12      ,     SCREAMING_SNAKE_CASE=3072      ,     SCREAMING_SNAKE_CASE="gelu"      ,     SCREAMING_SNAKE_CASE=0.1      ,     SCREAMING_SNAKE_CASE=0.1      ,     SCREAMING_SNAKE_CASE=512      ,     SCREAMING_SNAKE_CASE=2      ,     SCREAMING_SNAKE_CASE=0.0_2      ,     SCREAMING_SNAKE_CASE=1e-12      ,     SCREAMING_SNAKE_CASE=0      ,     SCREAMING_SNAKE_CASE=0      ,     SCREAMING_SNAKE_CASE=2      ,     SCREAMING_SNAKE_CASE=256      ,     SCREAMING_SNAKE_CASE=1024      ,     SCREAMING_SNAKE_CASE=216      ,     SCREAMING_SNAKE_CASE=1001      ,     SCREAMING_SNAKE_CASE=32      ,     SCREAMING_SNAKE_CASE=50      ,     SCREAMING_SNAKE_CASE="absolute"      ,     SCREAMING_SNAKE_CASE=True      ,     SCREAMING_SNAKE_CASE=None      ,     **SCREAMING_SNAKE_CASE      ,     )  ->					List[Any]:




				"""simple docstring"""



				super().__init__(
				    pad_token_id=SCREAMING_SNAKE_CASE      ,     bos_token_id=SCREAMING_SNAKE_CASE      ,     eos_token_id=SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      ,     )
				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_								=						position_embedding_type
				SCREAMING_SNAKE_CASE_								=						use_cache
				SCREAMING_SNAKE_CASE_								=						classifier_dropout
				# additional properties
				SCREAMING_SNAKE_CASE_								=						max_depth
				SCREAMING_SNAKE_CASE_								=						max_xpath_tag_unit_embeddings
				SCREAMING_SNAKE_CASE_								=						max_xpath_subs_unit_embeddings
				SCREAMING_SNAKE_CASE_								=						tag_pad_id
				SCREAMING_SNAKE_CASE_								=						subs_pad_id
				SCREAMING_SNAKE_CASE_								=						xpath_unit_hidden_size






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)}""")
