





'''simple docstring'''

from typing import Callable, Optional

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






class   UpperCAmelCase      (			UpperCamelCase__							):
 def __init__(							self :int		,			lowercase_ :Callable		,			lowercase_ :Optional[Features] = None		,			lowercase_ :str = None		,			lowercase_ :bool = False		,			lowercase_ :bool = False		,			lowercase_ :Optional[dict] = None		,			lowercase_ :Optional[int] = None		,			**lowercase_ :int		,			)->				List[Any]:
     super().__init__(
         features=lowercase_		,			cache_dir=lowercase_		,			keep_in_memory=lowercase_		,			streaming=lowercase_		,			num_proc=lowercase_		,			**lowercase_		,			)
     A__							=     Generator(
         cache_dir=lowercase_		,			features=lowercase_		,			generator=lowercase_		,			gen_kwargs=lowercase_		,			**lowercase_		,			)



 def 	UpperCAmelCase_				(							self :Tuple				)->				int:
     # Build iterable dataset
     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=lowercase_		,			download_mode=lowercase_		,			verification_mode=lowercase_		,			base_path=lowercase_		,			num_proc=self.num_proc		,			)
         A__							=     self.builder.as_dataset(
             split="train"		,			verification_mode=lowercase_		,			in_memory=self.keep_in_memory				)
     return dataset










'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCAmelCase				:      Optional[Any]						      =logging.get_logger(__name__)

__lowerCAmelCase				:      str						      ={
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}






class   UpperCAmelCase      (			UpperCamelCase__							):
 __lowercase  						=							"""distilbert"""
 __lowercase  						=							{
     """hidden_size""": """dim""",
     """num_attention_heads""": """n_heads""",
     """num_hidden_layers""": """n_layers""",
 }
 def __init__(							self :Tuple		,			lowercase_ :List[str]=3_05_22		,			lowercase_ :Tuple=5_12		,			lowercase_ :List[str]=False		,			lowercase_ :int=6		,			lowercase_ :Optional[int]=12		,			lowercase_ :Optional[int]=7_68		,			lowercase_ :str=4 * 7_68		,			lowercase_ :List[Any]=0.1		,			lowercase_ :str=0.1		,			lowercase_ :Optional[int]="gelu"		,			lowercase_ :Optional[Any]=0.0_2		,			lowercase_ :Optional[Any]=0.1		,			lowercase_ :List[Any]=0.2		,			lowercase_ :str=0		,			**lowercase_ :Union[str, Any]		,			)->				str:
     A__							=     vocab_size
     A__							=     max_position_embeddings
     A__							=     sinusoidal_pos_embds
     A__							=     n_layers
     A__							=     n_heads
     A__							=     dim
     A__							=     hidden_dim
     A__							=     dropout
     A__							=     attention_dropout
     A__							=     activation
     A__							=     initializer_range
     A__							=     qa_dropout
     A__							=     seq_classif_dropout
     super().__init__(**lowercase_		,			pad_token_id=lowercase_				)






class   UpperCAmelCase      (			UpperCamelCase__							):
 @property
 def 	UpperCAmelCase_				(							self :List[str]				)->				Mapping[str, Mapping[int, str]]:
     if self.task == "multiple-choice":
         A__							=     {0: "batch", 1: "choice", 2: "sequence"}
     else:
         A__							=     {0: "batch", 1: "sequence"}
     return OrderedDict(
         [
             ("input_ids", dynamic_axis),
             ("attention_mask", dynamic_axis),
         ]				)



