

'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase__    :							Union[str, Any]					    =    logging.get_logger(__name__)

lowerCAmelCase__    :							Any					    =    {
    '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      a      (					_a							):






						"""simple docstring"""




						__UpperCAmelCase        =     """roberta"""







						def __init__(				self       :   Union[str, Any]      ,      snake_case_       :   int=5_0_2_6_5      ,      snake_case_       :   int=7_6_8      ,      snake_case_       :   List[str]=1_2      ,      snake_case_       :   int=1_2      ,      snake_case_       :   List[Any]=3_0_7_2      ,      snake_case_       :   List[Any]="gelu"      ,      snake_case_       :   Tuple=0.1      ,      snake_case_       :   str=0.1      ,      snake_case_       :   str=5_1_2      ,      snake_case_       :   Optional[int]=2      ,      snake_case_       :   List[str]=0.0_2      ,      snake_case_       :   str=1e-12      ,      snake_case_       :   Dict=1      ,      snake_case_       :   Dict=0      ,      snake_case_       :   Tuple=2      ,      snake_case_       :   Any="absolute"      ,      snake_case_       :   List[str]=True      ,      snake_case_       :   Dict=None      ,      **snake_case_       :   Optional[Any]      ,      ):



								'''simple docstring'''



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

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





class      a      (					_a							):






						"""simple docstring"""




						@property
						def    __magic_name__				(				self       :   Any	):



								'''simple docstring'''



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







import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


A				:       List[str]      =  pytest.mark.integration





@pytest.mark.parametrize("path"   ,						["paws", "csv"]			)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase			)    ->						Any:


						'''simple docstring'''






						inspect_dataset(_lowerCAmelCase   ,						_lowerCAmelCase			)
						__snake_case				=		path + ".py"
						assert script_name in os.listdir(_lowerCAmelCase			)
						assert "__pycache__" not in os.listdir(_lowerCAmelCase			)





@pytest.mark.filterwarnings("ignore:inspect_metric is deprecated:FutureWarning"			)
@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"			)
@pytest.mark.parametrize("path"   ,						["accuracy"]			)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase			)    ->						List[str]:


						'''simple docstring'''






						inspect_metric(_lowerCAmelCase   ,						_lowerCAmelCase			)
						__snake_case				=		path + ".py"
						assert script_name in os.listdir(_lowerCAmelCase			)
						assert "__pycache__" not in os.listdir(_lowerCAmelCase			)





@pytest.mark.parametrize(
    "path, config_name, expected_splits"   ,						[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase			)    ->						List[Any]:


						'''simple docstring'''






						__snake_case				=		get_dataset_config_info(_lowerCAmelCase   ,						config_name=_lowerCAmelCase			)
						assert info.config_name == config_name
						assert list(info.splits.keys()			) == expected_splits





@pytest.mark.parametrize(
    "path, config_name, expected_exception"   ,						[
        ("paws", None, ValueError),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase			)    ->						Tuple:


						'''simple docstring'''






						with pytest.raises(_lowerCAmelCase			):
												get_dataset_config_info(_lowerCAmelCase   ,						config_name=_lowerCAmelCase			)





@pytest.mark.parametrize(
    "path, expected"   ,						[
        ("squad", "plain_text"),
        ("acronym_identification", "default"),
        ("lhoestq/squad", "plain_text"),
        ("lhoestq/test", "default"),
        ("lhoestq/demo1", "lhoestq--demo1"),
        ("dalle-mini/wit", "dalle-mini--wit"),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase			)    ->						Tuple:


						'''simple docstring'''






						__snake_case				=		get_dataset_config_names(_lowerCAmelCase			)
						assert expected in config_names





@pytest.mark.parametrize(
    "path, expected_configs, expected_splits_in_first_config"   ,						[
        ("squad", ["plain_text"], ["train", "validation"]),
        ("dalle-mini/wit", ["dalle-mini--wit"], ["train"]),
        ("paws", ["labeled_final", "labeled_swap", "unlabeled_final"], ["train", "test", "validation"]),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase			)    ->						Any:


						'''simple docstring'''






						__snake_case				=		get_dataset_infos(_lowerCAmelCase			)
						assert list(infos.keys()			) == expected_configs
						__snake_case				=		expected_configs[0]
						assert expected_config in infos
						__snake_case				=		infos[expected_config]
						assert info.config_name == expected_config
						assert list(info.splits.keys()			) == expected_splits_in_first_config





@pytest.mark.parametrize(
    "path, expected_config, expected_splits"   ,						[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase			)    ->						int:


						'''simple docstring'''






						__snake_case				=		get_dataset_infos(_lowerCAmelCase			)
						assert expected_config in infos
						__snake_case				=		infos[expected_config]
						assert info.config_name == expected_config
						assert list(info.splits.keys()			) == expected_splits





@pytest.mark.parametrize(
    "path, config_name, expected_exception"   ,						[
        ("paws", None, ValueError),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase			)    ->						str:


						'''simple docstring'''






						with pytest.raises(_lowerCAmelCase			):
												get_dataset_split_names(_lowerCAmelCase   ,						config_name=_lowerCAmelCase			)





