




"""simple docstring"""






import qiskit







def   _snake_case    (       lowercase__ = 2	):
				_lowerCamelCase  :    List[str]					=					qubits

				# Using Aer's simulator
				_lowerCamelCase  :    str					=					qiskit.Aer.get_backend('aer_simulator'	)

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

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

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

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

				# 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
				_lowerCamelCase  :    Optional[Any]					=					qiskit.execute(lowercase__							,					lowercase__							,					shots=1000	)

				return job.result().get_counts(lowercase__	)


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





"""simple docstring"""






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


lowercase__  		=		logging.get_logger(__name__)

lowercase__  		=		{
    """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 lowerCAmelCase__			(  lowercase		):






			'''simple docstring'''



			lowerCamelCase__   =    """realm"""
			def __init__(						self						,   lowercase=30522						,   lowercase=768						,   lowercase=128						,   lowercase=12						,   lowercase=12						,   lowercase=8						,   lowercase=3072						,   lowercase="gelu_new"						,   lowercase=0.1						,   lowercase=0.1						,   lowercase=512						,   lowercase=2						,   lowercase=0.02						,   lowercase=1E-12						,   lowercase=256						,   lowercase=10						,   lowercase=1E-3						,   lowercase=5						,   lowercase=320						,   lowercase=13353718						,   lowercase=5000						,   lowercase=1						,   lowercase=0						,   lowercase=2						,   **lowercase						,   ):
							super().__init__(pad_token_id=lowercase						,   bos_token_id=lowercase						,   eos_token_id=lowercase						,   **lowercase						)

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

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

							# Retrieval config
							_lowerCamelCase  :    Optional[Any]					=					num_block_records
							_lowerCamelCase  :    str					=					searcher_beam_size