






"""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_       			=   {
    '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/config.json''',
    '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/config.json''',
    '''xlm-roberta-large-finetuned-conll02-dutch''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll02-spanish''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll03-english''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll03-german''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json'''
    ),
}







class     UpperCamelCase_ (__A  ):
	__magic_name__			   =       '''xlm-roberta'''





	def __init__(   self      :				Optional[int]			,			lowerCAmelCase_      :				Union[str, Any]=30_522			,			lowerCAmelCase_      :				Tuple=768			,			lowerCAmelCase_      :				Tuple=12			,			lowerCAmelCase_      :				List[Any]=12			,			lowerCAmelCase_      :				List[Any]=3_072			,			lowerCAmelCase_      :				Dict="gelu"			,			lowerCAmelCase_      :				Tuple=0.1			,			lowerCAmelCase_      :				Optional[Any]=0.1			,			lowerCAmelCase_      :				Optional[int]=512			,			lowerCAmelCase_      :				Tuple=2			,			lowerCAmelCase_      :				Union[str, Any]=0.0_2			,			lowerCAmelCase_      :				Dict=1e-12			,			lowerCAmelCase_      :				Any=1			,			lowerCAmelCase_      :				int=0			,			lowerCAmelCase_      :				Union[str, Any]=2			,			lowerCAmelCase_      :				Tuple="absolute"			,			lowerCAmelCase_      :				Any=True			,			lowerCAmelCase_      :				List[Any]=None			,			**lowerCAmelCase_      :				Optional[Any]			,			)		->    Optional[int]:
				super().__init__(pad_token_id=lowerCAmelCase_			,			bos_token_id=lowerCAmelCase_			,			eos_token_id=lowerCAmelCase_			,			**lowerCAmelCase_		)

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







class     UpperCamelCase_ (__A  ):





	@property
	def   _SCREAMING_SNAKE_CASE   (   self      :				List[Any]		)		->    Mapping[str, Mapping[int, str]]:
				if self.task == "multiple-choice":
							UpperCAmelCase_  :				Union[str, Any]      =      {0: "batch", 1: "choice", 2: "sequence"}
				else:
							UpperCAmelCase_  :				Tuple      =      {0: "batch", 1: "sequence"}
				return OrderedDict(
				    [
				        ("input_ids", dynamic_axis),
				        ("attention_mask", dynamic_axis),
				    ]		)











"""simple docstring"""
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,
)


lowerCamelCase_       			=   pytest.mark.integration

@pytest.mark.parametrize("path"			,["paws", "csv"]		)
def        snake_case   (     A__			,A__		):
			inspect_dataset(A__			,A__		)
			UpperCAmelCase_  :				Tuple      =      path + ".py"
			assert script_name in os.listdir(A__		)
			assert "__pycache__" not in os.listdir(A__		)

@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        snake_case   (     A__			,A__		):
			inspect_metric(A__			,A__		)
			UpperCAmelCase_  :				List[str]      =      path + ".py"
			assert script_name in os.listdir(A__		)
			assert "__pycache__" not in os.listdir(A__		)

@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        snake_case   (     A__			,A__			,A__		):
			UpperCAmelCase_  :				Dict      =      get_dataset_config_info(A__			,config_name=A__		)
			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        snake_case   (     A__			,A__			,A__		):
			with pytest.raises(A__		):
						get_dataset_config_info(A__			,config_name=A__		)

@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        snake_case   (     A__			,A__		):
			UpperCAmelCase_  :				str      =      get_dataset_config_names(A__		)
			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        snake_case   (     A__			,A__			,A__		):
			UpperCAmelCase_  :				List[str]      =      get_dataset_infos(A__		)
			assert list(infos.keys()		) == expected_configs
			UpperCAmelCase_  :				List[str]      =      expected_configs[0]
			assert expected_config in infos
			UpperCAmelCase_  :				int      =      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        snake_case   (     A__			,A__			,A__		):
			UpperCAmelCase_  :				Optional[Any]      =      get_dataset_infos(A__		)
			assert expected_config in infos
			UpperCAmelCase_  :				Union[str, Any]      =      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        snake_case   (     A__			,A__			,A__		):
			with pytest.raises(A__		):
						get_dataset_split_names(A__			,config_name=A__		)



