

'''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  UpperCAmelCase (							UpperCAmelCase__  , unittest.TestCase    ):

		'''simple docstring'''






		SCREAMING_SNAKE_CASE_           =					OpenAIGPTTokenizer
		SCREAMING_SNAKE_CASE_           =					OpenAIGPTTokenizerFast
		SCREAMING_SNAKE_CASE_           =					True
		SCREAMING_SNAKE_CASE_           =					False
		def 			UpperCamelCase(					self		)  ->     List[str]:






							'''simple docstring'''



							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							lowerCamelCase_  				=      [
							    '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>',
							]
							lowerCamelCase_  				=      dict(zip(SCREAMING_SNAKE_CASE_   ,			range(len(SCREAMING_SNAKE_CASE_		)		)		)		)
							lowerCamelCase_  				=      ['#version: 0.2', 'l o', 'lo w', 'e r</w>', '']

							lowerCamelCase_  				=      os.path.join(self.tmpdirname   ,			VOCAB_FILES_NAMES['vocab_file']		)
							lowerCamelCase_  				=      os.path.join(self.tmpdirname   ,			VOCAB_FILES_NAMES['merges_file']		)
							with open(self.vocab_file   ,			'w'		) as fp:
												fp.write(json.dumps(SCREAMING_SNAKE_CASE_		)		)
							with open(self.merges_file   ,			'w'		) as fp:
												fp.write('\n'.join(SCREAMING_SNAKE_CASE_		)		)
		def 			UpperCamelCase(					self   ,			SCREAMING_SNAKE_CASE_		)  ->     Dict:






							'''simple docstring'''



							return "lower newer", "lower newer"
		def 			UpperCamelCase(					self		)  ->     str:






							'''simple docstring'''



							lowerCamelCase_  				=      OpenAIGPTTokenizer(self.vocab_file   ,			self.merges_file		)

							lowerCamelCase_  				=      'lower'
							lowerCamelCase_  				=      ['low', 'er</w>']
							lowerCamelCase_  				=      tokenizer.tokenize(SCREAMING_SNAKE_CASE_		)
							self.assertListEqual(SCREAMING_SNAKE_CASE_   ,			SCREAMING_SNAKE_CASE_		)

							lowerCamelCase_  				=      tokens + ['<unk>']
							lowerCamelCase_  				=      [14, 15, 20]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_		)   ,			SCREAMING_SNAKE_CASE_		)
		def 			UpperCamelCase(					self   ,			SCREAMING_SNAKE_CASE_=15		)  ->     Union[str, Any]:






							'''simple docstring'''



							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
																	lowerCamelCase_  				=      self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_   ,			**SCREAMING_SNAKE_CASE_		)

																	# Simple input
																	lowerCamelCase_  				=      'This is a simple input'
																	lowerCamelCase_  				=      ['This is a simple input 1', 'This is a simple input 2']
																	lowerCamelCase_  				=      ('This is a simple input', 'This is a pair')
																	lowerCamelCase_  				=      [
																	    ('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(SCREAMING_SNAKE_CASE_   ,			tokenizer_r.encode   ,			SCREAMING_SNAKE_CASE_   ,			max_length=SCREAMING_SNAKE_CASE_   ,			padding='max_length'		)

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

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

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

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

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






		def 			UpperCamelCase(					self		)  ->     int:






							'''simple docstring'''



							pass


@require_ftfy
@require_spacy
@require_tokenizers
class  UpperCAmelCase (							UpperCAmelCase__    ):

		'''simple docstring'''






		pass










'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


__UpperCamelCase					    =	logging.get_logger(__name__)




class  _A (					__lowercase		):

		def __init__(   self					:   int  ,      *__magic_name__					:   Optional[Any]  ,      **__magic_name__					:   Any			)					->    None:


					"""simple docstring"""

					warnings.warn(
					    """The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
					    """ use OwlViTImageProcessor instead."""  ,      __magic_name__  ,      )
					super().__init__(*__magic_name__  ,      **__magic_name__			)


