




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

_SCREAMING_SNAKE_CASE							:   Optional[Any]      		= {
    "junnyu/roformer_chinese_small": "https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json",
    "junnyu/roformer_chinese_base": "https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json",
    "junnyu/roformer_chinese_char_small": (
        "https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json"
    ),
    "junnyu/roformer_chinese_char_base": (
        "https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json"
    ),
    "junnyu/roformer_small_discriminator": (
        "https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json"
    ),
    "junnyu/roformer_small_generator": (
        "https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json"
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}




class  _snake_case		(	lowercase_							):
			lowerCAmelCase_     :      Dict						       =    "roformer"




			def __init__(					self				,							a__=50_000				,							a__=None				,							a__=768				,							a__=12				,							a__=12				,							a__=3_072				,							a__="gelu"				,							a__=0.1				,							a__=0.1				,							a__=1_536				,							a__=2				,							a__=0.0_2				,							a__=1e-12				,							a__=0				,							a__=False				,							a__=True				,							**a__				,							)				->				Tuple:

										'''simple docstring'''




										super().__init__(pad_token_id=a__				,							**a__							)

										snake_case_						=      vocab_size
										snake_case_						=      hidden_size if embedding_size is None else embedding_size
										snake_case_						=      hidden_size
										snake_case_						=      num_hidden_layers
										snake_case_						=      num_attention_heads
										snake_case_						=      hidden_act
										snake_case_						=      intermediate_size
										snake_case_						=      hidden_dropout_prob
										snake_case_						=      attention_probs_dropout_prob
										snake_case_						=      max_position_embeddings
										snake_case_						=      type_vocab_size
										snake_case_						=      initializer_range
										snake_case_						=      layer_norm_eps
										snake_case_						=      rotary_value
										snake_case_						=      use_cache




class  _snake_case		(	lowercase_							):




			@property
			def    lowerCAmelCase__				(					self							)				->				Mapping[str, Mapping[int, str]]:

										'''simple docstring'''




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











"""simple docstring"""





from __future__ import annotations

__A											=		1.6_021e-19  # units = C
def  __A   (_SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   )					->tuple[str, float]:





  """simple docstring"""


  if (conductivity, electron_conc, mobility).count(0			) != 1:
    raise ValueError('You cannot supply more or less than 2 values'			)
  elif conductivity < 0:
    raise ValueError('Conductivity cannot be negative'			)
  elif electron_conc < 0:
    raise ValueError('Electron concentration cannot be negative'			)
  elif mobility < 0:
    raise ValueError('mobility cannot be negative'			)
  elif conductivity == 0:
    return (
        "conductivity",
        mobility * electron_conc * ELECTRON_CHARGE,
    )
  elif electron_conc == 0:
    return (
        "electron_conc",
        conductivity / (mobility * ELECTRON_CHARGE),
    )
  else:
    return (
        "mobility",
        conductivity / (electron_conc * ELECTRON_CHARGE),
    )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
