




"""simple docstring"""

import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class     lowercase_	(					__lowerCAmelCase      ,     unittest.TestCase							):



 '''simple docstring'''
 UpperCAmelCase   :					Dict				  =     FunnelTokenizer
 UpperCAmelCase   :					Union[str, Any]				  =     FunnelTokenizerFast
 UpperCAmelCase   :					List[str]				  =     True
 UpperCAmelCase   :					Dict				  =     True

 def       lowerCAmelCase_							(			self	:	str		):
       super().setUp()

       _A        =       [
           '<unk>',
           '<cls>',
           '<sep>',
           'want',
           '##want',
           '##ed',
           'wa',
           'un',
           'runn',
           '##ing',
           ',',
           'low',
           'lowest',
       ]
       _A        =       os.path.join(self.tmpdirname   ,							VOCAB_FILES_NAMES['vocab_file']		)
       with open(self.vocab_file   ,							'w'   ,							encoding='utf-8'		) as vocab_writer:
             vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]		)		)

 def       lowerCAmelCase_							(			self	:	Any   ,							**_UpperCAmelCase	:	Any		):
       return FunnelTokenizer.from_pretrained(self.tmpdirname   ,							**_UpperCAmelCase		)

 def       lowerCAmelCase_							(			self	:	Any   ,							**_UpperCAmelCase	:	Dict		):
       return FunnelTokenizerFast.from_pretrained(self.tmpdirname   ,							**_UpperCAmelCase		)

 def       lowerCAmelCase_							(			self	:	Union[str, Any]   ,							_UpperCAmelCase	:	Union[str, Any]		):
       _A        =       'UNwant\u00E9d,running'
       _A        =       'unwanted, running'
       return input_text, output_text

 def       lowerCAmelCase_							(			self	:	Optional[int]		):
       _A        =       self.tokenizer_class(self.vocab_file		)

       _A        =       tokenizer.tokenize('UNwant\u00E9d,running'		)
       self.assertListEqual(_UpperCAmelCase   ,							['un', '##want', '##ed', ',', 'runn', '##ing']		)
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase		)   ,							[7, 4, 5, 10, 8, 9]		)



 def       lowerCAmelCase_							(			self	:	Tuple		):
       _A        =       self.get_tokenizers(do_lower_case=_UpperCAmelCase		)
       for tokenizer in tokenizers:
             _A        =       tokenizer('UNwant\u00E9d,running'		)
             _A        =       len(inputs['input_ids']		) - 1
             self.assertListEqual(inputs['token_type_ids']   ,							[2] + [0] * sentence_len		)

             _A        =       tokenizer('UNwant\u00E9d,running'   ,							'UNwant\u00E9d,running'		)
             self.assertListEqual(inputs['token_type_ids']   ,							[2] + [0] * sentence_len + [1] * sentence_len		)







"""simple docstring"""

import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


a         =      HUGGINGFACE_HUB_CACHE


a         =      '''config.json'''
a         =      '''diffusion_pytorch_model.bin'''
a         =      '''diffusion_flax_model.msgpack'''
a         =      '''model.onnx'''
a         =      '''diffusion_pytorch_model.safetensors'''
a         =      '''weights.pb'''
a         =      '''https://huggingface.co'''
a         =      default_cache_path
a         =      '''diffusers_modules'''
a         =      os.getenv('''HF_MODULES_CACHE''', os.path.join(hf_cache_home, '''modules'''))
a         =      ['''fp16''', '''non-ema''']
a         =      '''.self_attn'''

