


"""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        __A       (_lowercase  ,						unittest.TestCase):
							__lowercase:						int							 =      FunnelTokenizer
							__lowercase:						Optional[Any]							 =      FunnelTokenizerFast
							__lowercase:						Optional[int]							 =      True
							__lowercase:						Optional[int]							 =      True



							def 						lowerCAmelCase    (			self							: int    )   ->List[str]:



														"""simple docstring"""



														super().setUp()

														snake_case_          =						[
														    """<unk>""",
														    """<cls>""",
														    """<sep>""",
														    """want""",
														    """##want""",
														    """##ed""",
														    """wa""",
														    """un""",
														    """runn""",
														    """##ing""",
														    """,""",
														    """low""",
														    """lowest""",
														]
														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 						lowerCAmelCase    (			self							: Union[str, Any]						,    **UpperCAmelCase_							: Dict    )   ->int:



														"""simple docstring"""



														return FunnelTokenizer.from_pretrained(self.tmpdirname						,    **__UpperCamelCase    )



							def 						lowerCAmelCase    (			self							: Tuple						,    **UpperCAmelCase_							: str    )   ->Union[str, Any]:



														"""simple docstring"""



														return FunnelTokenizerFast.from_pretrained(self.tmpdirname						,    **__UpperCamelCase    )



							def 						lowerCAmelCase    (			self							: int						,    UpperCAmelCase_							: int    )   ->List[Any]:



														"""simple docstring"""



														snake_case_          =						"""UNwant\u00E9d,running"""
														snake_case_          =						"""unwanted, running"""
														return input_text, output_text



							def 						lowerCAmelCase    (			self							: List[Any]    )   ->str:



														"""simple docstring"""



														snake_case_          =						self.tokenizer_class(self.vocab_file    )

														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, 10, 8, 9]    )



							def 						lowerCAmelCase    (			self							: Dict    )   ->str:



														"""simple docstring"""



														snake_case_          =						self.get_tokenizers(do_lower_case=__UpperCamelCase    )
														for tokenizer in tokenizers:
																					snake_case_          =						tokenizer("""UNwant\u00E9d,running"""    )
																					snake_case_          =						len(inputs["""input_ids"""]    ) - 1
																					self.assertListEqual(inputs["""token_type_ids"""]						,    [2] + [0] * sentence_len    )

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







"""simple docstring"""
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from ...utils import deprecate
from ..controlnet.pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline  # noqa: F401


deprecate(
    'stable diffusion controlnet',
    '0.22.0',
    'Importing `FlaxStableDiffusionControlNetPipeline` from diffusers.pipelines.stable_diffusion.flax_pipeline_stable_diffusion_controlnet is deprecated. Please import `from diffusers import FlaxStableDiffusionControlNetPipeline` instead.',
    standard_warn=False,
    stacklevel=3,
)



