





"""simple docstring"""


import json
import sys




def   snake_case		(     UpperCamelCase__       :						Any			,				UpperCamelCase__       :						Tuple    )   ->      Tuple:
      with open(UpperCamelCase__			,				encoding="""utf-8"""    ) as f:
            lowerCamelCase					:					str        =	json.load(UpperCamelCase__    )

      lowerCamelCase					:					str        =	["""<details>""", """<summary>Show updated benchmarks!</summary>""", """ """]

      for benchmark_name in sorted(UpperCamelCase__    ):
            lowerCamelCase					:					List[str]        =	results[benchmark_name]

            lowerCamelCase					:					Union[str, Any]        =	benchmark_name.split("""/"""    )[-1]
            output_md.append(F'### Benchmark: {benchmark_file_name}'    )

            lowerCamelCase					:					Any        =	"""| metric |"""
            lowerCamelCase					:					Tuple        =	"""|--------|"""
            lowerCamelCase					:					Any        =	"""| new / old (diff) |"""
            for metric_name in sorted(UpperCamelCase__    ):
                  lowerCamelCase					:					Tuple        =	benchmark_res[metric_name]
                  lowerCamelCase					:					Optional[int]        =	metric_vals["""new"""]
                  lowerCamelCase					:					Dict        =	metric_vals.get("""old"""			,				UpperCamelCase__    )
                  lowerCamelCase					:					Optional[Any]        =	metric_vals.get("""diff"""			,				UpperCamelCase__    )

                  lowerCamelCase					:					Union[str, Any]        =	F' {new_val:f}' if isinstance(UpperCamelCase__			,				(int, float)    ) else """None"""

                  if old_val is not None:
                        val_str += F' / {old_val:f}' if isinstance(UpperCamelCase__			,				(int, float)    ) else "None"
                  if dif_val is not None:
                        val_str += F' ({dif_val:f})' if isinstance(UpperCamelCase__			,				(int, float)    ) else "None"

                  title += " " + metric_name + " |"
                  lines += "---|"
                  value += val_str + " |"

            output_md += [title, lines, value, " "]

      output_md.append("""</details>"""    )

      with open(UpperCamelCase__			,				"""w"""			,				encoding="""utf-8"""    ) as f:
            f.writelines("""\n""".join(UpperCamelCase__    )    )


if __name__ == "__main__":
    __lowerCamelCase      :Dict	    =		sys.argv[1]
    __lowerCamelCase      :List[str]	    =		sys.argv[2]

    format_json_to_md(input_json_file, output_md_file)








"""simple docstring"""


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


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

__lowerCamelCase      :List[str]	    =		{
    '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__	(						__lowercase):


     """simple docstring"""
     snake_case__	:					Optional[Any]													='''realm'''

     def __init__(	self:						Union[str, Any]     ,		__a:						List[Any]=30_522     ,		__a:						List[Any]=768     ,		__a:						List[Any]=128     ,		__a:						Union[str, Any]=12     ,		__a:						Union[str, Any]=12     ,		__a:						Optional[Any]=8     ,		__a:						Dict=3_072     ,		__a:						List[Any]="gelu_new"     ,		__a:						List[Any]=0.1     ,		__a:						Tuple=0.1     ,		__a:						Optional[Any]=512     ,		__a:						Optional[int]=2     ,		__a:						str=0.02     ,		__a:						int=1e-1_2     ,		__a:						Optional[Any]=256     ,		__a:						Any=10     ,		__a:						Dict=1e-3     ,		__a:						Optional[Any]=5     ,		__a:						Dict=320     ,		__a:						Tuple=13_353_718     ,		__a:						List[Any]=5_000     ,		__a:						Dict=1     ,		__a:						int=0     ,		__a:						Dict=2     ,		**__a:						List[str]     ,		)->    Any:
           super().__init__(pad_token_id=__a     ,		bos_token_id=__a     ,		eos_token_id=__a     ,		**__a	)

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

           # Reader config
           lowerCamelCase					:					List[str]        =	span_hidden_size
           lowerCamelCase					:					Dict        =	max_span_width
           lowerCamelCase					:					Optional[Any]        =	reader_layer_norm_eps
           lowerCamelCase					:					Optional[int]        =	reader_beam_size
           lowerCamelCase					:					List[Any]        =	reader_seq_len

           # Retrieval config
           lowerCamelCase					:					int        =	num_block_records
           lowerCamelCase					:					Dict        =	searcher_beam_size




