





"""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,
)


A 			=  pytest.mark.integration

@pytest.mark.parametrize('''path'''   ,       ['''paws''', '''csv'''])
def     __A      (			a_						:List[str]   ,       a_						:List[str])		->		Optional[Any]:
				inspect_dataset(a_   ,       a_)
				__a :						Any			       =  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     __A      (			a_						:str   ,       a_						:Tuple)		->		Optional[Any]:
				inspect_metric(a_   ,       a_)
				__a :						Dict			       =  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     __A      (			a_						:List[str]   ,       a_						:Union[str, Any]   ,       a_						:str)		->		str:
				__a :						List[Any]			       =  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     __A      (			a_						:Any   ,       a_						:Tuple   ,       a_						:Optional[int])		->		str:
				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     __A      (			a_						:str   ,       a_						:List[str])		->		Union[str, Any]:
				__a :						Optional[int]			       =  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     __A      (			a_						:List[Any]   ,       a_						:List[str]   ,       a_						:Dict)		->		str:
				__a :						Dict			       =  get_dataset_infos(a_)
				assert list(infos.keys()) == expected_configs
				__a :						str			       =  expected_configs[0]
				assert expected_config in infos
				__a :						Optional[Any]			       =  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      (			a_						:Optional[Any]   ,       a_						:Any   ,       a_						:Optional[int])		->		Union[str, Any]:
				__a :						int			       =  get_dataset_infos(a_)
				assert expected_config in infos
				__a :						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      (			a_						:Tuple   ,       a_						:Tuple   ,       a_						:Optional[int])		->		Optional[int]:
				with pytest.raises(a_):
								get_dataset_split_names(a_   ,       config_name=a_)






"""simple docstring"""






import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 				__lowercase			(			_UpperCamelCase   ,      unittest.TestCase							):







					'''simple docstring'''




					__lowerCAmelCase  =  OpenAIGPTTokenizer
					__lowerCAmelCase  =  OpenAIGPTTokenizerFast
					__lowerCAmelCase  =  True
					__lowerCAmelCase  =  False







					def  _lowerCamelCase		(						self     ):
									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									__a :						List[str]			       =  [
									    '''l''',
									    '''o''',
									    '''w''',
									    '''e''',
									    '''r''',
									    '''s''',
									    '''t''',
									    '''i''',
									    '''d''',
									    '''n''',
									    '''w</w>''',
									    '''r</w>''',
									    '''t</w>''',
									    '''lo''',
									    '''low''',
									    '''er</w>''',
									    '''low</w>''',
									    '''lowest</w>''',
									    '''newer</w>''',
									    '''wider</w>''',
									    '''<unk>''',
									]
									__a :						str			       =  dict(zip(_UpperCAmelCase	,			range(len(_UpperCAmelCase     )     )     )     )
									__a :						List[Any]			       =  ['''#version: 0.2''', '''l o''', '''lo w''', '''e r</w>''', '''''']

									__a :						Union[str, Any]			       =  os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['''vocab_file''']     )
									__a :						Dict			       =  os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['''merges_file''']     )
									with open(self.vocab_file	,			'''w'''     ) as fp:
													fp.write(json.dumps(_UpperCAmelCase     )     )
									with open(self.merges_file	,			'''w'''     ) as fp:
													fp.write('''\n'''.join(_UpperCAmelCase     )     )







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
									return "lower newer", "lower newer"







					def  _lowerCamelCase		(						self     ):
									__a :						Tuple			       =  OpenAIGPTTokenizer(self.vocab_file	,			self.merges_file     )

									__a :						Tuple			       =  '''lower'''
									__a :						Union[str, Any]			       =  ['''low''', '''er</w>''']
									__a :						str			       =  tokenizer.tokenize(_UpperCAmelCase     )
									self.assertListEqual(_UpperCAmelCase	,			_UpperCAmelCase     )

									__a :						List[Any]			       =  tokens + ['''<unk>''']
									__a :						Tuple			       =  [14, 15, 20]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase     )	,			_UpperCAmelCase     )







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase=15     ):
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""     ):
																	__a :						Any			       =  self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase	,			**_UpperCAmelCase     )

																	# Simple input
																	__a :						str			       =  '''This is a simple input'''
																	__a :						Dict			       =  ['''This is a simple input 1''', '''This is a simple input 2''']
																	__a :						List[Any]			       =  ('''This is a simple input''', '''This is a pair''')
																	__a :						Optional[Any]			       =  [
																	    ('''This is a simple input 1''', '''This is a simple input 2'''),
																	    ('''This is a simple pair 1''', '''This is a simple pair 2'''),
																	]

																	# Simple input tests
																	self.assertRaises(_UpperCAmelCase	,			tokenizer_r.encode	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''     )

																	# Simple input
																	self.assertRaises(_UpperCAmelCase	,			tokenizer_r.encode_plus	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''     )

																	# Simple input
																	self.assertRaises(
																	    _UpperCAmelCase	,			tokenizer_r.batch_encode_plus	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''	,			)

																	# Pair input
																	self.assertRaises(_UpperCAmelCase	,			tokenizer_r.encode	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''     )

																	# Pair input
																	self.assertRaises(_UpperCAmelCase	,			tokenizer_r.encode_plus	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''     )

																	# Pair input
																	self.assertRaises(
																	    _UpperCAmelCase	,			tokenizer_r.batch_encode_plus	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''	,			)







					def  _lowerCamelCase		(						self     ):
									pass






@require_ftfy
@require_spacy
@require_tokenizers
class 				__lowercase			(			_UpperCamelCase							):







					'''simple docstring'''




					pass