






"""simple docstring"""



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


A_    =							logging.get_logger(__name__)

A_    =							{
    "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 							__SCREAMING_SNAKE_CASE						(				_SCREAMING_SNAKE_CASE		):
							snake_case_     =							"realm"


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





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

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

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

													# Retrieval config
													A__						:  Optional[int]		  =  num_block_records
													A__						:  int		  =  searcher_beam_size














"""simple docstring"""



import os

try:
						from .build_directory_md import good_file_paths
except ImportError:
						from build_directory_md import good_file_paths  # type: ignore

A_    =							list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

A_    =							[file for file in filepaths if file != file.lower()]
if upper_files:
						print(F'{len(upper_files)} files contain uppercase characters:')
						print('''\n'''.join(upper_files) + '''\n''')

A_    =							[file for file in filepaths if ''' ''' in file]
if space_files:
						print(F'{len(space_files)} files contain space characters:')
						print('''\n'''.join(space_files) + '''\n''')

A_    =							[file for file in filepaths if '''-''' in file]
if hyphen_files:
						print(F'{len(hyphen_files)} files contain hyphen characters:')
						print('''\n'''.join(hyphen_files) + '''\n''')

A_    =							[file for file in filepaths if os.sep not in file]
if nodir_files:
						print(F'{len(nodir_files)} files are not in a directory:')
						print('''\n'''.join(nodir_files) + '''\n''')

A_    =							len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
						import sys

						sys.exit(bad_files)






