

'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

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


_lowerCamelCase	 =			logging.get_logger(__name__)

_lowerCamelCase	 =			{
    """google/electra-small-generator""": """https://huggingface.co/google/electra-small-generator/resolve/main/config.json""",
    """google/electra-base-generator""": """https://huggingface.co/google/electra-base-generator/resolve/main/config.json""",
    """google/electra-large-generator""": """https://huggingface.co/google/electra-large-generator/resolve/main/config.json""",
    """google/electra-small-discriminator""": (
        """https://huggingface.co/google/electra-small-discriminator/resolve/main/config.json"""
    ),
    """google/electra-base-discriminator""": (
        """https://huggingface.co/google/electra-base-discriminator/resolve/main/config.json"""
    ),
    """google/electra-large-discriminator""": (
        """https://huggingface.co/google/electra-large-discriminator/resolve/main/config.json"""
    ),
}
class  _snake_case						(__SCREAMING_SNAKE_CASE):
			__A   :     Optional[int]          ="electra"






			def __init__(   self       ,_snake_case=3_05_22       ,_snake_case=1_28       ,_snake_case=2_56       ,_snake_case=12       ,_snake_case=4       ,_snake_case=10_24       ,_snake_case="gelu"       ,_snake_case=0.1       ,_snake_case=0.1       ,_snake_case=5_12       ,_snake_case=2       ,_snake_case=0.02       ,_snake_case=1E-12       ,_snake_case="first"       ,_snake_case=True       ,_snake_case="gelu"       ,_snake_case=0.1       ,_snake_case=0       ,_snake_case="absolute"       ,_snake_case=True       ,_snake_case=None       ,**_snake_case       ,):
				super().__init__(pad_token_id=_snake_case       ,**_snake_case			)

				UpperCAmelCase_			:	List[Any]      =   vocab_size
				UpperCAmelCase_			:	Union[str, Any]      =   embedding_size
				UpperCAmelCase_			:	Optional[Any]      =   hidden_size
				UpperCAmelCase_			:	Tuple      =   num_hidden_layers
				UpperCAmelCase_			:	List[str]      =   num_attention_heads
				UpperCAmelCase_			:	Optional[Any]      =   intermediate_size
				UpperCAmelCase_			:	Tuple      =   hidden_act
				UpperCAmelCase_			:	List[str]      =   hidden_dropout_prob
				UpperCAmelCase_			:	List[str]      =   attention_probs_dropout_prob
				UpperCAmelCase_			:	Optional[int]      =   max_position_embeddings
				UpperCAmelCase_			:	int      =   type_vocab_size
				UpperCAmelCase_			:	List[Any]      =   initializer_range
				UpperCAmelCase_			:	Any      =   layer_norm_eps

				UpperCAmelCase_			:	str      =   summary_type
				UpperCAmelCase_			:	Tuple      =   summary_use_proj
				UpperCAmelCase_			:	List[str]      =   summary_activation
				UpperCAmelCase_			:	List[Any]      =   summary_last_dropout
				UpperCAmelCase_			:	List[str]      =   position_embedding_type
				UpperCAmelCase_			:	Optional[int]      =   use_cache
				UpperCAmelCase_			:	Optional[int]      =   classifier_dropout




class  _snake_case						(__SCREAMING_SNAKE_CASE):






			@property
			def 						UpperCamelCase__				(   self			):
				if self.task == "multiple-choice":
					UpperCAmelCase_			:	List[Any]      =   {0: "batch", 1: "choice", 2: "sequence"}
				else:
					UpperCAmelCase_			:	Optional[int]      =   {0: "batch", 1: "sequence"}
				return OrderedDict(
				    [
				        ("input_ids", dynamic_axis),
				        ("attention_mask", dynamic_axis),
				        ("token_type_ids", dynamic_axis),
				    ]			)







'''simple docstring'''
import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

_lowerCamelCase	 =			[(1,)]


def       a__    (  )			-> str:


	"""simple docstring"""





	UpperCAmelCase_			:	Optional[int]      =   bool(os.getenv("RUN_SLOW"     ,							0							)							)
	if run_slow:
		assert True
	else:
		assert False, "should have been skipped"


def       a__    (  )			-> str:


	"""simple docstring"""





	UpperCAmelCase_			:	Optional[Any]      =   bool(os.getenv("RUN_SLOW"     ,							0							)							)
	if run_slow and torch_device == "cuda":
		assert True
	else:
		assert False, "should have been skipped"
@require_torch
class  _snake_case						(unittest.TestCase):






			@slow
			@require_torch_gpu
			def 						UpperCamelCase__				(   self			):
				check_slow_torch_cuda()






			@require_torch_gpu
			@slow
			def 						UpperCamelCase__				(   self			):
				check_slow_torch_cuda()






			@parameterized.expand(_snake_case			)
			@slow
			def 						UpperCamelCase__				(   self       ,_snake_case=None			):
				check_slow()




@slow
@require_torch_gpu
def       a__    (  )			-> List[Any]:


	"""simple docstring"""





	check_slow_torch_cuda()


@require_torch_gpu
@slow
def       a__    (  )			-> List[str]:


	"""simple docstring"""





	check_slow_torch_cuda()


@slow
@pytest.mark.parametrize("param"     ,							[1]							)
def       a__    (  _SCREAMING_SNAKE_CASE					:    int							)			-> List[Any]:


	"""simple docstring"""





	check_slow()





@pytest.mark.parametrize("param"     ,							[1]							)
@slow
def       a__    (  _SCREAMING_SNAKE_CASE					:    List[str]							)			-> Any:


	"""simple docstring"""





	check_slow()




