'''simple docstring'''





import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict





@pytest.mark.parametrize(
    "split_dict"   ,       [
        SplitDict(),
        SplitDict({"train": SplitInfo(name="train"   ,       num_bytes=13_37   ,       num_examples=42   ,       dataset_name="my_dataset"     )}     ),
        SplitDict({"train": SplitInfo(name="train"   ,       num_bytes=13_37   ,       num_examples=42     )}     ),
        SplitDict({"train": SplitInfo()}     ),
    ]   ,       )
def       lowerCAmelCase_							(   snake_case_			:					SplitDict     )       -> Optional[Any]:


     '''simple docstring'''




     UpperCAmelCase_			       =  split_dict._to_yaml_list()
     assert len(snake_case_     ) == len(snake_case_     )
     UpperCAmelCase_			       =  SplitDict._from_yaml_list(snake_case_     )
     for split_name, split_info in split_dict.items():
          # dataset_name field is deprecated, and is therefore not part of the YAML dump
          UpperCAmelCase_			       =  None
          # the split name of split_dict takes over the name of the split info object
          UpperCAmelCase_			       =  split_name
     assert split_dict == reloaded






@pytest.mark.parametrize(
    "split_info"   ,       [SplitInfo(), SplitInfo(dataset_name=snake_case_     ), SplitInfo(dataset_name="my_dataset"     )]     )
def       lowerCAmelCase_							(   snake_case_			:					Optional[int]     )       -> List[str]:


     '''simple docstring'''




     UpperCAmelCase_			       =  asdict(SplitDict({"train": split_info}     )     )
     assert "dataset_name" in split_dict_asdict["train"]
     assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name












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


_UpperCamelCase			:	Optional[int]								=logging.get_logger(__name__)

_UpperCamelCase			:	Tuple								={
    '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 						UpperCAmelCase__ (							__snake_case							):
		__snake_case      :       Any     =   "canine"







		def __init__(					self       ,A__=768       ,A__=12       ,A__=12       ,A__=3072       ,A__="gelu"       ,A__=0.1       ,A__=0.1       ,A__=16384       ,A__=16       ,A__=0.02       ,A__=1E-12       ,A__=0       ,A__=0xE_000       ,A__=0xE_001       ,A__=4       ,A__=4       ,A__=8       ,A__=16384       ,A__=128       ,**A__       ,):
						super().__init__(pad_token_id=A__       ,bos_token_id=A__       ,eos_token_id=A__       ,**A__		)

						_A	:				int   =      max_position_embeddings
						_A	:				Dict   =      hidden_size
						_A	:				List[str]   =      num_hidden_layers
						_A	:				Optional[Any]   =      num_attention_heads
						_A	:				Optional[Any]   =      intermediate_size
						_A	:				Optional[Any]   =      hidden_act
						_A	:				str   =      hidden_dropout_prob
						_A	:				Optional[int]   =      attention_probs_dropout_prob
						_A	:				Union[str, Any]   =      initializer_range
						_A	:				Dict   =      type_vocab_size
						_A	:				Optional[Any]   =      layer_norm_eps

						# Character config:
						_A	:				Union[str, Any]   =      downsampling_rate
						_A	:				List[str]   =      upsampling_kernel_size
						_A	:				str   =      num_hash_functions
						_A	:				Optional[Any]   =      num_hash_buckets
						_A	:				Optional[Any]   =      local_transformer_stride



