





from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_		:				int				=						logging.get_logger(__name__)

lowercase_		:				Optional[int]				=						{
    '''transfo-xl-wt103''': '''https://huggingface.co/transfo-xl-wt103/resolve/main/config.json''',
}


class 			lowercase				(							a_     ):



						"""simple docstring"""

						_UpperCamelCase  :	Dict								=	"transfo-xl"
						_UpperCamelCase  :	Dict								=	["mems"]
						_UpperCamelCase  :	Union[str, Any]								=	{
						    "n_token": "vocab_size",
						    "hidden_size": "d_model",
						    "num_attention_heads": "n_head",
						    "num_hidden_layers": "n_layer",
						}







						def __init__(    self			:		int ,				lowerCamelCase_			:		List[str]=26_77_35 ,				lowerCamelCase_			:		List[str]=[2_00_00, 4_00_00, 20_00_00] ,				lowerCamelCase_			:		List[Any]=10_24 ,				lowerCamelCase_			:		Dict=10_24 ,				lowerCamelCase_			:		Union[str, Any]=16 ,				lowerCamelCase_			:		int=64 ,				lowerCamelCase_			:		List[Any]=40_96 ,				lowerCamelCase_			:		str=4 ,				lowerCamelCase_			:		Optional[Any]=False ,				lowerCamelCase_			:		Optional[int]=18 ,				lowerCamelCase_			:		List[Any]=16_00 ,				lowerCamelCase_			:		Dict=10_00 ,				lowerCamelCase_			:		int=True ,				lowerCamelCase_			:		Tuple=True ,				lowerCamelCase_			:		Any=0 ,				lowerCamelCase_			:		str=-1 ,				lowerCamelCase_			:		List[Any]=True ,				lowerCamelCase_			:		int=0.1 ,				lowerCamelCase_			:		Optional[int]=0.0 ,				lowerCamelCase_			:		Any=True ,				lowerCamelCase_			:		List[str]="normal" ,				lowerCamelCase_			:		Union[str, Any]=0.01 ,				lowerCamelCase_			:		Optional[int]=0.01 ,				lowerCamelCase_			:		int=0.02 ,				lowerCamelCase_			:		Optional[int]=1e-5 ,				lowerCamelCase_			:		int=0 ,				**lowerCamelCase_			:		List[Any] ,				):





										'''simple docstring'''







										_snake_case :			Union[str, Any]  						=   vocab_size
										_snake_case :			Any  						=   []
										self.cutoffs.extend(lowerCamelCase_					)
										if proj_share_all_but_first:
														_snake_case :			Any  						=   [False] + [True] * len(self.cutoffs					)
										else:
														_snake_case :			Union[str, Any]  						=   [False] + [False] * len(self.cutoffs					)
										_snake_case :			Any  						=   d_model
										_snake_case :			Tuple  						=   d_embed
										_snake_case :			Any  						=   d_head
										_snake_case :			int  						=   d_inner
										_snake_case :			Optional[Any]  						=   div_val
										_snake_case :			Dict  						=   pre_lnorm
										_snake_case :			Optional[Any]  						=   n_layer
										_snake_case :			Optional[int]  						=   n_head
										_snake_case :			Optional[Any]  						=   mem_len
										_snake_case :			Union[str, Any]  						=   same_length
										_snake_case :			str  						=   attn_type
										_snake_case :			str  						=   clamp_len
										_snake_case :			str  						=   sample_softmax
										_snake_case :			str  						=   adaptive
										_snake_case :			int  						=   dropout
										_snake_case :			Optional[Any]  						=   dropatt
										_snake_case :			str  						=   untie_r
										_snake_case :			Dict  						=   init
										_snake_case :			str  						=   init_range
										_snake_case :			Optional[Any]  						=   proj_init_std
										_snake_case :			Optional[Any]  						=   init_std
										_snake_case :			Any  						=   layer_norm_epsilon
										super().__init__(eos_token_id=lowerCamelCase_ ,				**lowerCamelCase_					)







						@property
						def 		__UpperCAmelCase       (    self			:		Union[str, Any]					):





										'''simple docstring'''







										logger.info(f'''The model {self.model_type} is one of the few models that has no sequence length limit.'''					)
										return -1







						@max_position_embeddings.setter
						def 		__UpperCAmelCase       (    self			:		str ,				lowerCamelCase_			:		Union[str, Any]					):





										'''simple docstring'''







										raise NotImplementedError(
										    f'''The model {self.model_type} is one of the few models that has no sequence length limit.'''					)













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,
)


lowercase_		:				Optional[Any]				=						pytest.mark.integration

@pytest.mark.parametrize('path'	,			['paws', 'csv'] )
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				inspect_dataset(__lowerCAmelCase	,			__lowerCAmelCase )
				_snake_case :			str  						=   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       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				inspect_metric(__lowerCAmelCase	,			__lowerCAmelCase )
				_snake_case :			Tuple  						=   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       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Union[str, Any]  						=   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       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				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       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Optional[Any]  						=   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       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			List[Any]  						=   get_dataset_infos(__lowerCAmelCase )
				assert list(infos.keys() ) == expected_configs
				_snake_case :			Any  						=   expected_configs[0]
				assert expected_config in infos
				_snake_case :			str  						=   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       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Any  						=   get_dataset_infos(__lowerCAmelCase )
				assert expected_config in infos
				_snake_case :			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       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				with pytest.raises(__lowerCAmelCase ):
								get_dataset_split_names(__lowerCAmelCase	,			config_name=__lowerCAmelCase )






