
'''simple docstring'''







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


__lowerCAmelCase         =    logging.get_logger(__name__)

__lowerCAmelCase         =    {
    """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_	):





  """simple docstring"""

  __UpperCAmelCase				:				Tuple   =					'''realm'''


  def __init__(		self      :     Any							,_a      :     Union[str, Any]=3_0522							,_a      :     List[str]=768							,_a      :     str=128							,_a      :     Tuple=12							,_a      :     List[Any]=12							,_a      :     List[Any]=8							,_a      :     int=3072							,_a      :     Dict="gelu_new"							,_a      :     Any=0.1							,_a      :     Any=0.1							,_a      :     Tuple=512							,_a      :     List[Any]=2							,_a      :     Optional[int]=0.02							,_a      :     List[str]=1E-12							,_a      :     str=256							,_a      :     List[Any]=10							,_a      :     Union[str, Any]=1E-3							,_a      :     Optional[int]=5							,_a      :     Optional[Any]=320							,_a      :     str=1335_3718							,_a      :     Any=5000							,_a      :     List[Any]=1							,_a      :     Tuple=0							,_a      :     Tuple=2							,**_a      :     str							,):


     '''simple docstring'''






     super().__init__(pad_token_id=_a							,bos_token_id=_a							,eos_token_id=_a							,**_a       )

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

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

     # Retrieval config
     _a				:	Optional[Any]			=   num_block_records
     _a				:	Optional[int]			=   searcher_beam_size





"""simple docstring"""




# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re

from ..utils import cached_file


# docstyle-ignore
_A			:       Optional[int]   		=       """
Human: <<task>>

Assistant: """


_A			:       List[Any]   		=       """huggingface-tools/default-prompts"""
_A			:       Optional[int]   		=       {"""chat""": """chat_prompt_template.txt""", """run""": """run_prompt_template.txt"""}


def   __magic_name__	(      __snake_case				:       int     , __snake_case				:       List[Any]     , __snake_case				:       Dict="run"  ) ->				Union[str, Any]:
       if prompt_or_repo_id is None:
              lowercase    :				List[Any]       		=							DEFAULT_PROMPTS_REPO

       # prompt is considered a repo ID when it does not contain any kind of space
       if re.search("\\s"     , __snake_case  ) is not None:
              return prompt_or_repo_id

       lowercase    :				Optional[int]       		=							cached_file(
           __snake_case     , PROMPT_FILES[mode]     , repo_type="dataset"     , user_agent={"agent": agent_name}  )
       with open(__snake_case     , "r"     , encoding="utf-8"  ) as f:
              return f.read()


