



from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream


class   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					def __init__(  self       :							Tuple					,       _snake_case       :							Callable					,       _snake_case       :							Optional[Features] = None					,       _snake_case       :							str = None					,       _snake_case       :							bool = False					,       _snake_case       :							bool = False					,       _snake_case       :							Optional[dict] = None					,       _snake_case       :							Optional[int] = None					,       **_snake_case       :							Dict					,       ):






								"""simple docstring"""


								super().__init__(
								    features=_snake_case					,       cache_dir=_snake_case					,       keep_in_memory=_snake_case					,       streaming=_snake_case					,       num_proc=_snake_case					,       **_snake_case					,       )
								A__	  =     Generator(
								    cache_dir=_snake_case					,       features=_snake_case					,       generator=_snake_case					,       gen_kwargs=_snake_case					,       **_snake_case					,       )



					def      _a				(  self       :							Optional[int]       ):






								"""simple docstring"""


								if self.streaming:
											A__	  =     self.builder.as_streaming_dataset(split='train'       )
								# Build regular (map-style) dataset
								else:
											A__	  =     None
											A__	  =     None
											A__	  =     None
											A__	  =     None

											self.builder.download_and_prepare(
											    download_config=_snake_case					,       download_mode=_snake_case					,       verification_mode=_snake_case					,       base_path=_snake_case					,       num_proc=self.num_proc					,       )
											A__	  =     self.builder.as_dataset(
											    split='train'					,       verification_mode=_snake_case					,       in_memory=self.keep_in_memory       )
								return dataset









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


a_								=       logging.get_logger(__name__)

a_								=       {
    """google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}



class 			__lowerCAmelCase  (						lowerCAmelCase__ ):
 lowerCAmelCase__							       =	"""canine"""




 def __init__(    self						,					__UpperCAmelCase=768						,					__UpperCAmelCase=12						,					__UpperCAmelCase=12						,					__UpperCAmelCase=3072						,					__UpperCAmelCase="gelu"						,					__UpperCAmelCase=0.1						,					__UpperCAmelCase=0.1						,					__UpperCAmelCase=16384						,					__UpperCAmelCase=16						,					__UpperCAmelCase=0.02						,					__UpperCAmelCase=1E-1_2						,					__UpperCAmelCase=0						,					__UpperCAmelCase=0Xe_000						,					__UpperCAmelCase=0Xe_001						,					__UpperCAmelCase=4						,					__UpperCAmelCase=4						,					__UpperCAmelCase=8						,					__UpperCAmelCase=16384						,					__UpperCAmelCase=128						,					**__UpperCAmelCase						,					):



    '''simple docstring'''
    super().__init__(pad_token_id=__UpperCAmelCase						,					bos_token_id=__UpperCAmelCase						,					eos_token_id=__UpperCAmelCase						,					**__UpperCAmelCase					)

    __lowerCamelCase    				=     max_position_embeddings
    __lowerCamelCase    				=     hidden_size
    __lowerCamelCase    				=     num_hidden_layers
    __lowerCamelCase    				=     num_attention_heads
    __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

    # Character config:
    __lowerCamelCase    				=     downsampling_rate
    __lowerCamelCase    				=     upsampling_kernel_size
    __lowerCamelCase    				=     num_hash_functions
    __lowerCamelCase    				=     num_hash_buckets
    __lowerCamelCase    				=     local_transformer_stride






