"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

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


__SCREAMING_SNAKE_CASE								=logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE								={
    "roberta-base": "https://huggingface.co/roberta-base/resolve/main/config.json",
    "roberta-large": "https://huggingface.co/roberta-large/resolve/main/config.json",
    "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/config.json",
    "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/config.json",
    "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json",
    "roberta-large-openai-detector": "https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json",
}







class  UpperCamelCase	(    lowercase_						):
   lowercase							=						'roberta'
   def __init__(    self  ,__UpperCamelCase=5_0265  ,__UpperCamelCase=768  ,__UpperCamelCase=12  ,__UpperCamelCase=12  ,__UpperCamelCase=3072  ,__UpperCamelCase="gelu"  ,__UpperCamelCase=0.1  ,__UpperCamelCase=0.1  ,__UpperCamelCase=512  ,__UpperCamelCase=2  ,__UpperCamelCase=0.02  ,__UpperCamelCase=1e-12  ,__UpperCamelCase=1  ,__UpperCamelCase=0  ,__UpperCamelCase=2  ,__UpperCamelCase="absolute"  ,__UpperCamelCase=True  ,__UpperCamelCase=None  ,**__UpperCamelCase  ,)			->   Dict:


        '''simple docstring'''


        super().__init__(pad_token_id=__UpperCamelCase  ,bos_token_id=__UpperCamelCase  ,eos_token_id=__UpperCamelCase  ,**__UpperCamelCase    )

        lowercase_			:       Tuple									=			vocab_size
        lowercase_			:       int									=			hidden_size
        lowercase_			:       Optional[Any]									=			num_hidden_layers
        lowercase_			:       Optional[int]									=			num_attention_heads
        lowercase_			:       str									=			hidden_act
        lowercase_			:       List[str]									=			intermediate_size
        lowercase_			:       int									=			hidden_dropout_prob
        lowercase_			:       Tuple									=			attention_probs_dropout_prob
        lowercase_			:       Dict									=			max_position_embeddings
        lowercase_			:       Any									=			type_vocab_size
        lowercase_			:       Union[str, Any]									=			initializer_range
        lowercase_			:       List[Any]									=			layer_norm_eps
        lowercase_			:       List[str]									=			position_embedding_type
        lowercase_			:       str									=			use_cache
        lowercase_			:       Union[str, Any]									=			classifier_dropout







class  UpperCamelCase	(    lowercase_						):
   @property
   def     _UpperCAmelCase     (    self    )			->   Mapping[str, Mapping[int, str]]:


        '''simple docstring'''


        if self.task == "multiple-choice":
             lowercase_			:       List[str]									=			{0: 'batch', 1: 'choice', 2: 'sequence'}
        else:
             lowercase_			:       int									=			{0: 'batch', 1: 'sequence'}
        return OrderedDict(
            [
                ('input_ids', dynamic_axis),
                ('attention_mask', dynamic_axis),
            ]    )


"""simple docstring"""







__SCREAMING_SNAKE_CASE								={
    "Pillow": "Pillow",
    "accelerate": "accelerate>=0.11.0",
    "compel": "compel==0.1.8",
    "black": "black~=23.1",
    "datasets": "datasets",
    "filelock": "filelock",
    "flax": "flax>=0.4.1",
    "hf-doc-builder": "hf-doc-builder>=0.3.0",
    "huggingface-hub": "huggingface-hub>=0.13.2",
    "requests-mock": "requests-mock==1.10.0",
    "importlib_metadata": "importlib_metadata",
    "invisible-watermark": "invisible-watermark",
    "isort": "isort>=5.5.4",
    "jax": "jax>=0.2.8,!=0.3.2",
    "jaxlib": "jaxlib>=0.1.65",
    "Jinja2": "Jinja2",
    "k-diffusion": "k-diffusion>=0.0.12",
    "torchsde": "torchsde",
    "note_seq": "note_seq",
    "librosa": "librosa",
    "numpy": "numpy",
    "omegaconf": "omegaconf",
    "parameterized": "parameterized",
    "protobuf": "protobuf>=3.20.3,<4",
    "pytest": "pytest",
    "pytest-timeout": "pytest-timeout",
    "pytest-xdist": "pytest-xdist",
    "ruff": "ruff>=0.0.241",
    "safetensors": "safetensors",
    "sentencepiece": "sentencepiece>=0.1.91,!=0.1.92",
    "scipy": "scipy",
    "onnx": "onnx",
    "regex": "regex!=2019.12.17",
    "requests": "requests",
    "tensorboard": "tensorboard",
    "torch": "torch>=1.4",
    "torchvision": "torchvision",
    "transformers": "transformers>=4.25.1",
    "urllib3": "urllib3<=2.0.0",
}

