


"""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 				UpperCamelCase_			(				UpperCamelCase    ,						unittest.TestCase):

	"""simple docstring"""





	snake_case__       :						Optional[int]					      =    FunnelTokenizer
	snake_case__       :						Optional[Any]					      =    FunnelTokenizerFast
	snake_case__       :						str					      =    True
	snake_case__       :						Union[str, Any]					      =    True




	def 						UpperCAmelCase_   (				self    :       List[Any]     ) ->			List[Any]:
						super().setUp()

						__SCREAMING_SNAKE_CASE		     =       [
						    "<unk>",
						    "<cls>",
						    "<sep>",
						    "want",
						    "##want",
						    "##ed",
						    "wa",
						    "un",
						    "runn",
						    "##ing",
						    ",",
						    "low",
						    "lowest",
						]
						__SCREAMING_SNAKE_CASE		     =       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 						UpperCAmelCase_   (				self    :       Optional[int]    ,    **UpperCAmelCase__    :       Optional[int]     ) ->			Optional[Any]:
						return FunnelTokenizer.from_pretrained(self.tmpdirname    ,    **UpperCAmelCase__     )




	def 						UpperCAmelCase_   (				self    :       List[str]    ,    **UpperCAmelCase__    :       Optional[int]     ) ->			Any:
						return FunnelTokenizerFast.from_pretrained(self.tmpdirname    ,    **UpperCAmelCase__     )




	def 						UpperCAmelCase_   (				self    :       List[str]    ,    UpperCAmelCase__    :       Dict     ) ->			Any:
						__SCREAMING_SNAKE_CASE		     =       "UNwant\u00E9d,running"
						__SCREAMING_SNAKE_CASE		     =       "unwanted, running"
						return input_text, output_text




	def 						UpperCAmelCase_   (				self    :       Any     ) ->			Union[str, Any]:
						__SCREAMING_SNAKE_CASE		     =       self.tokenizer_class(self.vocab_file     )

						__SCREAMING_SNAKE_CASE		     =       tokenizer.tokenize("UNwant\u00E9d,running"     )
						self.assertListEqual(UpperCAmelCase__    ,    ["un", "##want", "##ed", ",", "runn", "##ing"]     )
						self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__     )    ,    [7, 4, 5, 1_0, 8, 9]     )




	def 						UpperCAmelCase_   (				self    :       Union[str, Any]     ) ->			str:
						__SCREAMING_SNAKE_CASE		     =       self.get_tokenizers(do_lower_case=UpperCAmelCase__     )
						for tokenizer in tokenizers:
											__SCREAMING_SNAKE_CASE		     =       tokenizer("UNwant\u00E9d,running"     )
											__SCREAMING_SNAKE_CASE		     =       len(inputs["input_ids"]     ) - 1
											self.assertListEqual(inputs["token_type_ids"]    ,    [2] + [0] * sentence_len     )

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




"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a__       :							Optional[Any]        =  {
    '''configuration_jukebox''': [
        '''JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''JukeboxConfig''',
        '''JukeboxPriorConfig''',
        '''JukeboxVQVAEConfig''',
    ],
    '''tokenization_jukebox''': ['''JukeboxTokenizer'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a__       :							int        =  [
		    '''JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''JukeboxModel''',
		    '''JukeboxPreTrainedModel''',
		    '''JukeboxVQVAE''',
		    '''JukeboxPrior''',
		]

if TYPE_CHECKING:
		from .configuration_jukebox import (
		    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    JukeboxConfig,
		    JukeboxPriorConfig,
		    JukeboxVQVAEConfig,
		)
		from .tokenization_jukebox import JukeboxTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_jukebox import (
				    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
				    JukeboxModel,
				    JukeboxPreTrainedModel,
				    JukeboxPrior,
				    JukeboxVQVAE,
				)

else:
		import sys

		a__       :							Union[str, Any]        =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
