


'''simple docstring'''







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


__lowerCAmelCase       		=      logging.get_logger(__name__)

__lowerCAmelCase       		=      {
    '''RWKV/rwkv-4-169m-pile''': '''https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-430m-pile''': '''https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-1b5-pile''': '''https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-3b-pile''': '''https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-7b-pile''': '''https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-14b-pile''': '''https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-raven-1b5''': '''https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json''',
    '''RWKV/rwkv-raven-3b''': '''https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-7b''': '''https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-14b''': '''https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json''',
}





class 	SCREAMING_SNAKE_CASE					(					UpperCAmelCase__       ):
			snake_case__  =				"rwkv"
			snake_case__  =				{"max_position_embeddings": "context_length"}






			def __init__( self      :			List[str]  ,						__SCREAMING_SNAKE_CASE      :			Union[str, Any]=5_0277  ,						__SCREAMING_SNAKE_CASE      :			str=1024  ,						__SCREAMING_SNAKE_CASE      :			Union[str, Any]=4096  ,						__SCREAMING_SNAKE_CASE      :			Optional[int]=32  ,						__SCREAMING_SNAKE_CASE      :			Optional[int]=None  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]=None  ,						__SCREAMING_SNAKE_CASE      :			List[Any]=1e-5  ,						__SCREAMING_SNAKE_CASE      :			Union[str, Any]=0  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]=0  ,						__SCREAMING_SNAKE_CASE      :			Dict=6  ,						__SCREAMING_SNAKE_CASE      :			int=False  ,						__SCREAMING_SNAKE_CASE      :			Tuple=True  ,						**__SCREAMING_SNAKE_CASE      :			List[str]  ,						)			->			List[Any]:
							a_		:  int											=      vocab_size
							a_		:  Tuple											=      context_length
							a_		:  str											=      hidden_size
							a_		:  str											=      num_hidden_layers
							a_		:  int											=      attention_hidden_size if attention_hidden_size is not None else hidden_size
							a_		:  List[Any]											=      intermediate_size if intermediate_size is not None else 4 * hidden_size
							a_		:  Any											=      layer_norm_epsilon
							a_		:  List[str]											=      rescale_every
							a_		:  int											=      use_cache

							a_		:  Optional[Any]											=      bos_token_id
							a_		:  Union[str, Any]											=      eos_token_id

							super().__init__(
							    tie_word_embeddings=__lowerCAmelCase  ,						bos_token_id=__lowerCAmelCase  ,						eos_token_id=__lowerCAmelCase  ,						**__lowerCAmelCase					)












'''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=SCREAMING_SNAKE_CASE_       )
class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):
			snake_case__  =				field(default="image-classification"	,   metadata={"include_in_asdict_even_if_is_default": True}       )
			snake_case__  =				Features({"image": Image()}       )
			snake_case__  =				Features({"labels": ClassLabel}       )
			snake_case__  =				"image"
			snake_case__  =				"labels"






			def 			SCREAMING_SNAKE_CASE      ( self      :			List[str]  ,						__SCREAMING_SNAKE_CASE      :			List[Any]					)			->			Any:
							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]  ,						__SCREAMING_SNAKE_CASE					):
											raise ValueError(f'Column {self.label_column} is not a ClassLabel.'					)
							a_		:  Optional[int]											=      copy.deepcopy(self					)
							a_		:  int											=      self.label_schema.copy()
							a_		:  Tuple											=      features[self.label_column]
							a_		:  str											=      label_schema
							return task_template







			@property
			def 			SCREAMING_SNAKE_CASE      ( self      :			Tuple					)			->			Dict[str, str]:
							return {
							    self.image_column: "image",
							    self.label_column: "labels",
							}




