





import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class 							__lowercase       (      lowerCAmelCase__ ,      unittest.TestCase						):







	'''simple docstring'''

	a    :				Optional[int]											=       XLMTokenizer
	a    :				List[Any]											=       False


	def 						_UpperCAmelCase     (self )							->							str:







				'''simple docstring'''





				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				__lowercase										=							[
				    '''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>''',
				]
				__lowercase										=							dict(zip(_lowerCamelCase     ,range(len(_lowerCamelCase ) ) ) )
				__lowercase										=							['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

				__lowercase										=							os.path.join(self.tmpdirname     ,VOCAB_FILES_NAMES['''vocab_file'''] )
				__lowercase										=							os.path.join(self.tmpdirname     ,VOCAB_FILES_NAMES['''merges_file'''] )
				with open(self.vocab_file     ,'''w''' ) as fp:
							fp.write(json.dumps(_lowerCamelCase ) )
				with open(self.merges_file     ,'''w''' ) as fp:
							fp.write('''\n'''.join(_lowerCamelCase ) )


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							List[Any]:







				'''simple docstring'''





				__lowercase										=							'''lower newer'''
				__lowercase										=							'''lower newer'''
				return input_text, output_text


	def 						_UpperCAmelCase     (self )							->							Dict:







				'''simple docstring'''





				__lowercase										=							XLMTokenizer(self.vocab_file     ,self.merges_file )

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

				__lowercase										=							tokens + ['''<unk>''']
				__lowercase										=							[14, 15, 20]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase )     ,_lowerCamelCase )


	@slow
	def 						_UpperCAmelCase     (self )							->							List[Any]:







				'''simple docstring'''





				__lowercase										=							XLMTokenizer.from_pretrained('''xlm-mlm-en-2048''' )

				__lowercase										=							tokenizer.encode('''sequence builders'''     ,add_special_tokens=_lowerCamelCase )
				__lowercase										=							tokenizer.encode('''multi-sequence build'''     ,add_special_tokens=_lowerCamelCase )

				__lowercase										=							tokenizer.build_inputs_with_special_tokens(_lowerCamelCase )
				__lowercase										=							tokenizer.build_inputs_with_special_tokens(_lowerCamelCase     ,_lowerCamelCase )

				assert encoded_sentence == [0] + text + [1]
				assert encoded_pair == [0] + text + [1] + text_a + [1]












'''simple docstring'''



import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


_SCREAMING_SNAKE_CASE					=    logging.get_logger(__name__)






class 							__lowercase       (      lowerCAmelCase__						):







	'''simple docstring'''

	def __init__(self     ,*_lowerCamelCase     ,**_lowerCamelCase )							->							None:







				'''simple docstring'''





				warnings.warn(
				    '''The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
				    ''' use GLPNImageProcessor instead.'''     ,_lowerCamelCase     ,)
				super().__init__(*_lowerCamelCase     ,**_lowerCamelCase )





