






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


snake_case__      :	Any       	=      logging.get_logger(__name__)

snake_case__      :	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 						_a       (  _UpperCAmelCase    ):






  """simple docstring"""





  A_						=   """realm"""




  def __init__(     self		,		_UpperCAmelCase=30522		,		_UpperCAmelCase=768		,		_UpperCAmelCase=128		,		_UpperCAmelCase=12		,		_UpperCAmelCase=12		,		_UpperCAmelCase=8		,		_UpperCAmelCase=3072		,		_UpperCAmelCase="gelu_new"		,		_UpperCAmelCase=0.1		,		_UpperCAmelCase=0.1		,		_UpperCAmelCase=512		,		_UpperCAmelCase=2		,		_UpperCAmelCase=0.0_2		,		_UpperCAmelCase=1e-12		,		_UpperCAmelCase=256		,		_UpperCAmelCase=10		,		_UpperCAmelCase=1e-3		,		_UpperCAmelCase=5		,		_UpperCAmelCase=320		,		_UpperCAmelCase=13353718		,		_UpperCAmelCase=5000		,		_UpperCAmelCase=1		,		_UpperCAmelCase=0		,		_UpperCAmelCase=2		,		**_UpperCAmelCase		,		)			-> Union[str, Any]:
     super().__init__(pad_token_id=lowercase__		,		bos_token_id=lowercase__		,		eos_token_id=lowercase__		,		**lowercase__ )

     # Common config
     UpperCamelCase_									=     vocab_size
     UpperCamelCase_									=     max_position_embeddings
     UpperCamelCase_									=     hidden_size
     UpperCamelCase_									=     retriever_proj_size
     UpperCamelCase_									=     num_hidden_layers
     UpperCamelCase_									=     num_attention_heads
     UpperCamelCase_									=     num_candidates
     UpperCamelCase_									=     intermediate_size
     UpperCamelCase_									=     hidden_act
     UpperCamelCase_									=     hidden_dropout_prob
     UpperCamelCase_									=     attention_probs_dropout_prob
     UpperCamelCase_									=     initializer_range
     UpperCamelCase_									=     type_vocab_size
     UpperCamelCase_									=     layer_norm_eps

     # Reader config
     UpperCamelCase_									=     span_hidden_size
     UpperCamelCase_									=     max_span_width
     UpperCamelCase_									=     reader_layer_norm_eps
     UpperCamelCase_									=     reader_beam_size
     UpperCamelCase_									=     reader_seq_len

     # Retrieval config
     UpperCamelCase_									=     num_block_records
     UpperCamelCase_									=     searcher_beam_size













snake_case__      :	List[Any]       	=      """Tobias Carryer"""

from time import time


class 						_a       :






  """simple docstring"""





  def __init__(     self		,		_UpperCAmelCase		,		_UpperCAmelCase		,		_UpperCAmelCase		,		_UpperCAmelCase=int(time() ) )			-> Tuple:  # noqa: B008
     UpperCamelCase_									=     multiplier
     UpperCamelCase_									=     increment
     UpperCamelCase_									=     modulo
     UpperCamelCase_									=     seed




  def    _UpperCAmelCase     (     self )			-> Any:
     UpperCamelCase_									=     (self.multiplier * self.seed + self.increment) % self.modulo
     return self.seed


if __name__ == "__main__":
 # Show the LCG in action.
 snake_case__      :	List[Any]       	=      LinearCongruentialGenerator(1_6_6_4_5_2_5, 1_0_1_3_9_0_4_2_2_3, 2 << 3_1)
 while True:
  print(lcg.next_number())





