import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs
class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE				):







							def __init__(				self     :    Union[str, Any]	,					__snake_case     :    Optional[int]	,					__snake_case     :    int=None	,					__snake_case     :    Dict=True	,					__snake_case     :    Tuple=None	,					**__snake_case     :    str		):
										lowerCamelCase						:Any						  =     parent
										lowerCamelCase						:List[str]						  =     config_class
										lowerCamelCase						:Optional[int]						  =     has_text_modality
										lowerCamelCase						:List[str]						  =     kwargs
										lowerCamelCase						:Tuple						  =     common_properties







							def 				snake_case  (				self     :    Dict		):
										lowerCamelCase						:Optional[Any]						  =     self.config_class(**self.inputs_dict		)
										lowerCamelCase						:List[Any]						  =     (
										    ['''hidden_size''', '''num_attention_heads''', '''num_hidden_layers''']
										    if self.common_properties is None
										    else self.common_properties
										)

										# Add common fields for text models
										if self.has_text_modality:
													common_properties.extend(['''vocab_size''']		)

										# Test that config has the common properties as getters
										for prop in common_properties:
													self.parent.assertTrue(hasattr(__snake_case	,					__snake_case		)	,					msg=F"`{prop}` does not exist"		)

										# Test that config has the common properties as setter
										for idx, name in enumerate(__snake_case		):
													try:
																setattr(__snake_case	,					__snake_case	,					__snake_case		)
																self.parent.assertEqual(
																    getattr(__snake_case	,					__snake_case		)	,					__snake_case	,					msg=F"`{name} value {idx} expected, but was {getattr(__snake_case	,					__snake_case		)}"		)
													except NotImplementedError:
																# Some models might not be able to implement setters for common_properties
																# In that case, a NotImplementedError is raised
																pass

        # Test if config class can be called with Config(prop_name=..)
										for idx, name in enumerate(__snake_case		):
													try:
																lowerCamelCase						:List[str]						  =     self.config_class(**{name: idx}		)
																self.parent.assertEqual(
																    getattr(__snake_case	,					__snake_case		)	,					__snake_case	,					msg=F"`{name} value {idx} expected, but was {getattr(__snake_case	,					__snake_case		)}"		)
													except NotImplementedError:
																# Some models might not be able to implement setters for common_properties
																# In that case, a NotImplementedError is raised
																pass







							def 				snake_case  (				self     :    Optional[Any]		):
										lowerCamelCase						:Tuple						  =     self.config_class(**self.inputs_dict		)
										lowerCamelCase						:List[str]						  =     json.loads(config.to_json_string()		)
										for key, value in self.inputs_dict.items():
													self.parent.assertEqual(obj[key]	,					__snake_case		)







							def 				snake_case  (				self     :    Union[str, Any]		):
										lowerCamelCase						:List[Any]						  =     self.config_class(**self.inputs_dict		)

										with tempfile.TemporaryDirectory() as tmpdirname:
													lowerCamelCase						:Tuple						  =     os.path.join(__snake_case	,					'''config.json'''		)
													config_first.to_json_file(__snake_case		)
													lowerCamelCase						:int						  =     self.config_class.from_json_file(__snake_case		)

										self.parent.assertEqual(config_second.to_dict()	,					config_first.to_dict()		)







							def 				snake_case  (				self     :    List[str]		):
										lowerCamelCase						:Dict						  =     self.config_class(**self.inputs_dict		)

										with tempfile.TemporaryDirectory() as tmpdirname:
													config_first.save_pretrained(__snake_case		)
													lowerCamelCase						:Union[str, Any]						  =     self.config_class.from_pretrained(__snake_case		)

										self.parent.assertEqual(config_second.to_dict()	,					config_first.to_dict()		)







							def 				snake_case  (				self     :    Dict		):
										lowerCamelCase						:List[str]						  =     self.config_class(**self.inputs_dict		)

										lowerCamelCase						:Dict						  =     '''test'''
										with tempfile.TemporaryDirectory() as tmpdirname:
													lowerCamelCase						:List[Any]						  =     os.path.join(__snake_case	,					__snake_case		)
													config_first.save_pretrained(__snake_case		)
													lowerCamelCase						:Union[str, Any]						  =     self.config_class.from_pretrained(__snake_case	,					subfolder=__snake_case		)

										self.parent.assertEqual(config_second.to_dict()	,					config_first.to_dict()		)







							def 				snake_case  (				self     :    Union[str, Any]		):
										lowerCamelCase						:Optional[int]						  =     self.config_class(**self.inputs_dict	,					num_labels=5		)
										self.parent.assertEqual(len(config.idalabel		)	,					5		)
										self.parent.assertEqual(len(config.labelaid		)	,					5		)

										lowerCamelCase						:Dict						  =     3
										self.parent.assertEqual(len(config.idalabel		)	,					3		)
										self.parent.assertEqual(len(config.labelaid		)	,					3		)







							def 				snake_case  (				self     :    Optional[Any]		):
										if self.config_class.is_composition:
													return
										lowerCamelCase						:Any						  =     self.config_class()
										self.parent.assertIsNotNone(__snake_case		)







							def 				snake_case  (				self     :    str		):
										lowerCamelCase						:Dict						  =     copy.deepcopy(__snake_case		)
										lowerCamelCase						:Optional[Any]						  =     self.config_class(**__snake_case		)
										lowerCamelCase						:Any						  =     []
										for key, value in config_common_kwargs.items():
													if key == "torch_dtype":
																if not is_torch_available():
																			continue
																else:
																			import torch

																			if config.torch_dtype != torch.floataa:
																						wrong_values.append(('''torch_dtype''', config.torch_dtype, torch.floataa)		)
													elif getattr(__snake_case	,					__snake_case		) != value:
																wrong_values.append((key, getattr(__snake_case	,					__snake_case		), value)		)

										if len(__snake_case		) > 0:
													lowerCamelCase						:Tuple						  =     '''\n'''.join([F"- {v[0]}: got {v[1]} instead of {v[2]}" for v in wrong_values]		)
													raise ValueError(F"The following keys were not properly set in the config:\n{errors}"		)







							def 				snake_case  (				self     :    Optional[int]		):
										self.create_and_test_config_common_properties()
										self.create_and_test_config_to_json_string()
										self.create_and_test_config_to_json_file()
										self.create_and_test_config_from_and_save_pretrained()
										self.create_and_test_config_from_and_save_pretrained_subfolder()
										self.create_and_test_config_with_num_labels()
										self.check_config_can_be_init_without_params()
										self.check_config_arguments_init()




from collections import OrderedDict
from typing import Mapping

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


A__           =							logging.get_logger(__name__)

A__           =							{
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}
class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE				):
							_UpperCAmelCase						    =     'roberta-prelayernorm'







							def __init__(				self     :    str	,					__snake_case     :    List[str]=50265	,					__snake_case     :    Union[str, Any]=768	,					__snake_case     :    Tuple=12	,					__snake_case     :    int=12	,					__snake_case     :    Any=3072	,					__snake_case     :    Optional[int]="gelu"	,					__snake_case     :    List[Any]=0.1	,					__snake_case     :    int=0.1	,					__snake_case     :    Union[str, Any]=512	,					__snake_case     :    Dict=2	,					__snake_case     :    int=0.0_2	,					__snake_case     :    Any=1e-1_2	,					__snake_case     :    Optional[int]=1	,					__snake_case     :    Dict=0	,					__snake_case     :    Optional[int]=2	,					__snake_case     :    Any="absolute"	,					__snake_case     :    Union[str, Any]=True	,					__snake_case     :    List[str]=None	,					**__snake_case     :    Optional[int]	,					):
										super().__init__(pad_token_id=__snake_case	,					bos_token_id=__snake_case	,					eos_token_id=__snake_case	,					**__snake_case		)

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


class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE				):







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



