
import json
import sys


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ ,		UpperCamelCase__		):
      with open(UpperCamelCase__ ,		encoding='''utf-8'''		) as f:
            UpperCamelCase__    :   List[Any]					=				json.load(UpperCamelCase__		)

      UpperCamelCase__    :   Optional[Any]					=				['''<details>''', '''<summary>Show updated benchmarks!</summary>''', ''' ''']

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

            UpperCamelCase__    :   Optional[int]					=				benchmark_name.split('''/'''		)[-1]
            output_md.append(f'''### Benchmark: {benchmark_file_name}'''		)

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

                  UpperCamelCase__    :   str					=				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      =sys.argv[1]
    lowerCamelCase      =sys.argv[2]

    format_json_to_md(input_json_file, output_md_file)




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 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		   =  '''realm'''






     def __init__(							self						,						__SCREAMING_SNAKE_CASE=3_0_5_2_2						,						__SCREAMING_SNAKE_CASE=7_6_8						,						__SCREAMING_SNAKE_CASE=1_2_8						,						__SCREAMING_SNAKE_CASE=1_2						,						__SCREAMING_SNAKE_CASE=1_2						,						__SCREAMING_SNAKE_CASE=8						,						__SCREAMING_SNAKE_CASE=3_0_7_2						,						__SCREAMING_SNAKE_CASE="gelu_new"						,						__SCREAMING_SNAKE_CASE=0.1						,						__SCREAMING_SNAKE_CASE=0.1						,						__SCREAMING_SNAKE_CASE=5_1_2						,						__SCREAMING_SNAKE_CASE=2						,						__SCREAMING_SNAKE_CASE=0.02						,						__SCREAMING_SNAKE_CASE=1e-12						,						__SCREAMING_SNAKE_CASE=2_5_6						,						__SCREAMING_SNAKE_CASE=1_0						,						__SCREAMING_SNAKE_CASE=1e-3						,						__SCREAMING_SNAKE_CASE=5						,						__SCREAMING_SNAKE_CASE=3_2_0						,						__SCREAMING_SNAKE_CASE=1_3_3_5_3_7_1_8						,						__SCREAMING_SNAKE_CASE=5_0_0_0						,						__SCREAMING_SNAKE_CASE=1						,						__SCREAMING_SNAKE_CASE=0						,						__SCREAMING_SNAKE_CASE=2						,						**__SCREAMING_SNAKE_CASE						,						)  ->   List[str]:




           """simple docstring"""







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

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

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

           # Retrieval config
           UpperCamelCase__    :   List[str]					=				num_block_records
           UpperCamelCase__    :   Union[str, Any]					=				searcher_beam_size


