





"""simple docstring"""




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


a		:				Optional[int]  			=    logging.get_logger(__name__)

a		:				Tuple  			=    {
    '''google/realm-cc-news-pretrained-embedder''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-encoder''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-scorer''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-openqa''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json'''
    ),
    '''google/realm-orqa-nq-openqa''': '''https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json''',
    '''google/realm-orqa-nq-reader''': '''https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json''',
    '''google/realm-orqa-wq-openqa''': '''https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json''',
    '''google/realm-orqa-wq-reader''': '''https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json''',
    # See all REALM models at https://huggingface.co/models?filter=realm
}


class  __UpperCamelCase       (		a__		):
							lowerCamelCase     :      Dict         ="""realm"""






							def __init__(     self   ,      lowerCAmelCase__=3_0522   ,      lowerCAmelCase__=768   ,      lowerCAmelCase__=128   ,      lowerCAmelCase__=12   ,      lowerCAmelCase__=12   ,      lowerCAmelCase__=8   ,      lowerCAmelCase__=3072   ,      lowerCAmelCase__="gelu_new"   ,      lowerCAmelCase__=0.1   ,      lowerCAmelCase__=0.1   ,      lowerCAmelCase__=512   ,      lowerCAmelCase__=2   ,      lowerCAmelCase__=0.02   ,      lowerCAmelCase__=1E-12   ,      lowerCAmelCase__=256   ,      lowerCAmelCase__=10   ,      lowerCAmelCase__=1E-3   ,      lowerCAmelCase__=5   ,      lowerCAmelCase__=320   ,      lowerCAmelCase__=1335_3718   ,      lowerCAmelCase__=5000   ,      lowerCAmelCase__=1   ,      lowerCAmelCase__=0   ,      lowerCAmelCase__=2   ,      **lowerCAmelCase__   ,      )			->				Optional[Any]:
								super().__init__(pad_token_id=lowerCAmelCase__   ,      bos_token_id=lowerCAmelCase__   ,      eos_token_id=lowerCAmelCase__   ,      **lowerCAmelCase__   )

								# Common config
								a   :	str			=       vocab_size
								a   :	int			=       max_position_embeddings
								a   :	Any			=       hidden_size
								a   :	List[Any]			=       retriever_proj_size
								a   :	Tuple			=       num_hidden_layers
								a   :	List[str]			=       num_attention_heads
								a   :	List[str]			=       num_candidates
								a   :	Union[str, Any]			=       intermediate_size
								a   :	str			=       hidden_act
								a   :	List[str]			=       hidden_dropout_prob
								a   :	List[str]			=       attention_probs_dropout_prob
								a   :	List[str]			=       initializer_range
								a   :	Tuple			=       type_vocab_size
								a   :	str			=       layer_norm_eps

								# Reader config
								a   :	Any			=       span_hidden_size
								a   :	Dict			=       max_span_width
								a   :	Tuple			=       reader_layer_norm_eps
								a   :	Union[str, Any]			=       reader_beam_size
								a   :	int			=       reader_seq_len

								# Retrieval config
								a   :	List[str]			=       num_block_records
								a   :	int			=       searcher_beam_size









"""simple docstring"""




import qiskit






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					int					, _lowercase		:					int      )				->qiskit.result.counts.Counts:






	'''simple docstring'''






	a   :	Union[str, Any]			=       qiskit.Aer.get_backend("aer_simulator"      )

	# Create a Quantum Circuit acting on the q register
	a   :	Optional[Any]			=       qiskit.QuantumCircuit(_lowercase					, _lowercase      )

	# Map the quantum measurement to the classical bits
	circuit.measure([0]					, [0]      )

	# Execute the circuit on the simulator
	a   :	Optional[int]			=       qiskit.execute(_lowercase					, _lowercase					, shots=1000      )

	# Return the histogram data of the results of the experiment.
	return job.result().get_counts(_lowercase      )


if __name__ == "__main__":
		print(F'''Total count for various states are: {single_qubit_measure(1, 1)}''')


