

'''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  UpperCAmelCase (							UpperCAmelCase__    ):

		'''simple docstring'''






		SCREAMING_SNAKE_CASE_           =					'realm'
		def __init__(					self   ,			SCREAMING_SNAKE_CASE_=30522   ,			SCREAMING_SNAKE_CASE_=768   ,			SCREAMING_SNAKE_CASE_=128   ,			SCREAMING_SNAKE_CASE_=12   ,			SCREAMING_SNAKE_CASE_=12   ,			SCREAMING_SNAKE_CASE_=8   ,			SCREAMING_SNAKE_CASE_=3072   ,			SCREAMING_SNAKE_CASE_="gelu_new"   ,			SCREAMING_SNAKE_CASE_=0.1   ,			SCREAMING_SNAKE_CASE_=0.1   ,			SCREAMING_SNAKE_CASE_=512   ,			SCREAMING_SNAKE_CASE_=2   ,			SCREAMING_SNAKE_CASE_=0.02   ,			SCREAMING_SNAKE_CASE_=1E-12   ,			SCREAMING_SNAKE_CASE_=256   ,			SCREAMING_SNAKE_CASE_=10   ,			SCREAMING_SNAKE_CASE_=1E-3   ,			SCREAMING_SNAKE_CASE_=5   ,			SCREAMING_SNAKE_CASE_=320   ,			SCREAMING_SNAKE_CASE_=13353718   ,			SCREAMING_SNAKE_CASE_=5000   ,			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
							lowerCamelCase_  				=      vocab_size
							lowerCamelCase_  				=      max_position_embeddings
							lowerCamelCase_  				=      hidden_size
							lowerCamelCase_  				=      retriever_proj_size
							lowerCamelCase_  				=      num_hidden_layers
							lowerCamelCase_  				=      num_attention_heads
							lowerCamelCase_  				=      num_candidates
							lowerCamelCase_  				=      intermediate_size
							lowerCamelCase_  				=      hidden_act
							lowerCamelCase_  				=      hidden_dropout_prob
							lowerCamelCase_  				=      attention_probs_dropout_prob
							lowerCamelCase_  				=      initializer_range
							lowerCamelCase_  				=      type_vocab_size
							lowerCamelCase_  				=      layer_norm_eps

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

							# Retrieval config
							lowerCamelCase_  				=      num_block_records
							lowerCamelCase_  				=      searcher_beam_size







"""simple docstring"""


import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate
@dataclass(frozen=lowerCAmelCase__						)
class     _UpperCamelCase    (  lowerCAmelCase__						):
							'''simple docstring'''







							__UpperCAmelCase		:       str							 =field(default="""image-classification"""			,metadata={"""include_in_asdict_even_if_is_default""": True}						)
							__UpperCAmelCase		:       ClassVar[Features]							 =Features({"""image""": Image()}						)
							__UpperCAmelCase		:       ClassVar[Features]							 =Features({"""labels""": ClassLabel}						)
							__UpperCAmelCase		:       str							 ="image"
							__UpperCAmelCase		:       str							 ="labels"

							def      snake_case							(	self       ,  __a      ):
										if self.label_column not in features:
													raise ValueError(f"Column {self.label_column} is not present in features."      )
										if not isinstance(features[self.label_column]       ,  __a      ):
													raise ValueError(f"Column {self.label_column} is not a ClassLabel."      )
										__lowerCAmelCase							       =     copy.deepcopy(self      )
										__lowerCAmelCase							       =     self.label_schema.copy()
										__lowerCAmelCase							       =     features[self.label_column]
										__lowerCAmelCase							       =     label_schema
										return task_template



							@property
							def      snake_case							(	self      ):
										return {
										    self.image_column: "image",
										    self.label_column: "labels",
										}




