






'''simple docstring'''

import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_    ,   unittest.TestCase  ):
       snake_case__    :     Tuple   		=			BertTokenizer
       snake_case__    :     Dict   		=			BertTokenizerFast
       snake_case__    :     int   		=			True
       snake_case__    :     List[Any]   		=			True
       snake_case__    :     List[str]   		=			filter_non_english




       def 					a_					(					self      : int					):


            """simple docstring"""







            super().setUp()

            __lowerCamelCase						:       Optional[int]				   =				[
                """[UNK]""",
                """[CLS]""",
                """[SEP]""",
                """[PAD]""",
                """[MASK]""",
                """want""",
                """##want""",
                """##ed""",
                """wa""",
                """un""",
                """runn""",
                """##ing""",
                """,""",
                """low""",
                """lowest""",
            ]
            __lowerCamelCase						:       List[Any]				   =				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 					a_					(					self      : int	,    A__      : Dict					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[int]				   =				"""UNwant\u00E9d,running"""
            __lowerCamelCase						:       Any				   =				"""unwanted, running"""
            return input_text, output_text




       def 					a_					(					self      : Optional[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       str				   =				self.tokenizer_class(self.vocab_file					)

            __lowerCamelCase						:       List[Any]				   =				tokenizer.tokenize("""UNwant\u00E9d,running"""					)
            self.assertListEqual(A__	,    ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]					)
            self.assertListEqual(tokenizer.convert_tokens_to_ids(A__					)	,    [9, 6, 7, 12, 10, 11]					)




       def 					a_					(					self      : Optional[Any]					):


            """simple docstring"""







            if not self.test_rust_tokenizer:
                 return

            __lowerCamelCase						:       str				   =				self.get_tokenizer()
            __lowerCamelCase						:       Dict				   =				self.get_rust_tokenizer()

            __lowerCamelCase						:       str				   =				"""UNwant\u00E9d,running"""

            __lowerCamelCase						:       Optional[Any]				   =				tokenizer.tokenize(A__					)
            __lowerCamelCase						:       Dict				   =				rust_tokenizer.tokenize(A__					)
            self.assertListEqual(A__	,    A__					)

            __lowerCamelCase						:       Any				   =				tokenizer.encode(A__	,    add_special_tokens=A__					)
            __lowerCamelCase						:       Tuple				   =				rust_tokenizer.encode(A__	,    add_special_tokens=A__					)
            self.assertListEqual(A__	,    A__					)

            __lowerCamelCase						:       List[str]				   =				self.get_rust_tokenizer()
            __lowerCamelCase						:       Union[str, Any]				   =				tokenizer.encode(A__					)
            __lowerCamelCase						:       str				   =				rust_tokenizer.encode(A__					)
            self.assertListEqual(A__	,    A__					)

            # With lower casing
            __lowerCamelCase						:       Optional[Any]				   =				self.get_tokenizer(do_lower_case=A__					)
            __lowerCamelCase						:       Any				   =				self.get_rust_tokenizer(do_lower_case=A__					)

            __lowerCamelCase						:       Union[str, Any]				   =				"""UNwant\u00E9d,running"""

            __lowerCamelCase						:       Optional[Any]				   =				tokenizer.tokenize(A__					)
            __lowerCamelCase						:       List[Any]				   =				rust_tokenizer.tokenize(A__					)
            self.assertListEqual(A__	,    A__					)

            __lowerCamelCase						:       str				   =				tokenizer.encode(A__	,    add_special_tokens=A__					)
            __lowerCamelCase						:       List[str]				   =				rust_tokenizer.encode(A__	,    add_special_tokens=A__					)
            self.assertListEqual(A__	,    A__					)

            __lowerCamelCase						:       List[str]				   =				self.get_rust_tokenizer()
            __lowerCamelCase						:       List[str]				   =				tokenizer.encode(A__					)
            __lowerCamelCase						:       Union[str, Any]				   =				rust_tokenizer.encode(A__					)
            self.assertListEqual(A__	,    A__					)




       def 					a_					(					self      : Union[str, Any]					):


            """simple docstring"""







            __lowerCamelCase						:       List[Any]				   =				BasicTokenizer()

            self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""					)	,    ["""ah""", """\u535A""", """\u63A8""", """zz"""]					)




       def 					a_					(					self      : Union[str, Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Tuple				   =				BasicTokenizer(do_lower_case=A__					)

            self.assertListEqual(
                tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """					)	,    ["""hello""", """!""", """how""", """are""", """you""", """?"""]					)
            self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""					)	,    ["""hello"""]					)




       def 					a_					(					self      : str					):


            """simple docstring"""







            __lowerCamelCase						:       List[str]				   =				BasicTokenizer(do_lower_case=A__	,    strip_accents=A__					)

            self.assertListEqual(
                tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """					)	,    ["""hällo""", """!""", """how""", """are""", """you""", """?"""]					)
            self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""					)	,    ["""h\u00E9llo"""]					)




       def 					a_					(					self      : Any					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[Any]				   =				BasicTokenizer(do_lower_case=A__	,    strip_accents=A__					)

            self.assertListEqual(
                tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """					)	,    ["""hallo""", """!""", """how""", """are""", """you""", """?"""]					)
            self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""					)	,    ["""hello"""]					)




       def 					a_					(					self      : Tuple					):


            """simple docstring"""







            __lowerCamelCase						:       str				   =				BasicTokenizer(do_lower_case=A__					)

            self.assertListEqual(
                tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """					)	,    ["""hallo""", """!""", """how""", """are""", """you""", """?"""]					)
            self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""					)	,    ["""hello"""]					)




       def 					a_					(					self      : List[str]					):


            """simple docstring"""







            __lowerCamelCase						:       Union[str, Any]				   =				BasicTokenizer(do_lower_case=A__					)

            self.assertListEqual(
                tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """					)	,    ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]					)




       def 					a_					(					self      : Optional[int]					):


            """simple docstring"""







            __lowerCamelCase						:       List[str]				   =				BasicTokenizer(do_lower_case=A__	,    strip_accents=A__					)

            self.assertListEqual(
                tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """					)	,    ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]					)




       def 					a_					(					self      : Optional[int]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[int]				   =				BasicTokenizer(do_lower_case=A__	,    strip_accents=A__					)

            self.assertListEqual(
                tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """					)	,    ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]					)




       def 					a_					(					self      : int					):


            """simple docstring"""







            __lowerCamelCase						:       Union[str, Any]				   =				BasicTokenizer(do_lower_case=A__	,    never_split=["""[UNK]"""]					)

            self.assertListEqual(
                tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""					)	,    ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]					)




       def 					a_					(					self      : List[str]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[Any]				   =				BasicTokenizer()
            __lowerCamelCase						:       Dict				   =				"""a\n'll !!to?'d of, can't."""
            __lowerCamelCase						:       List[str]				   =				["""a""", """'""", """ll""", """!""", """!""", """to""", """?""", """'""", """d""", """of""", """,""", """can""", """'""", """t""", """."""]
            self.assertListEqual(tokenizer.tokenize(A__					)	,    A__					)




       def 					a_					(					self      : List[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[int]				   =				["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

            __lowerCamelCase						:       Any				   =				{}
            for i, token in enumerate(A__					):
                 __lowerCamelCase						:       Any				   =				i
            __lowerCamelCase						:       Any				   =				WordpieceTokenizer(vocab=A__	,    unk_token="""[UNK]"""					)

            self.assertListEqual(tokenizer.tokenize(""""""					)	,    []					)

            self.assertListEqual(tokenizer.tokenize("""unwanted running"""					)	,    ["""un""", """##want""", """##ed""", """runn""", """##ing"""]					)

            self.assertListEqual(tokenizer.tokenize("""unwantedX running"""					)	,    ["""[UNK]""", """runn""", """##ing"""]					)




       def 					a_					(					self      : List[str]					):


            """simple docstring"""







            self.assertTrue(_is_whitespace(""" """					)					)
            self.assertTrue(_is_whitespace("""\t"""					)					)
            self.assertTrue(_is_whitespace("""\r"""					)					)
            self.assertTrue(_is_whitespace("""\n"""					)					)
            self.assertTrue(_is_whitespace("""\u00A0"""					)					)

            self.assertFalse(_is_whitespace("""A"""					)					)
            self.assertFalse(_is_whitespace("""-"""					)					)




       def 					a_					(					self      : List[Any]					):


            """simple docstring"""







            self.assertTrue(_is_control("""\u0005"""					)					)

            self.assertFalse(_is_control("""A"""					)					)
            self.assertFalse(_is_control(""" """					)					)
            self.assertFalse(_is_control("""\t"""					)					)
            self.assertFalse(_is_control("""\r"""					)					)




       def 					a_					(					self      : Tuple					):


            """simple docstring"""







            self.assertTrue(_is_punctuation("""-"""					)					)
            self.assertTrue(_is_punctuation("""$"""					)					)
            self.assertTrue(_is_punctuation("""`"""					)					)
            self.assertTrue(_is_punctuation("""."""					)					)

            self.assertFalse(_is_punctuation("""A"""					)					)
            self.assertFalse(_is_punctuation(""" """					)					)




       def 					a_					(					self      : int					):


            """simple docstring"""







            __lowerCamelCase						:       Tuple				   =				self.get_tokenizer()
            __lowerCamelCase						:       Tuple				   =				self.get_rust_tokenizer()

            # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
            self.assertListEqual([tokenizer.tokenize(A__					) for t in ["""Test""", """\xad""", """test"""]]	,    [["""[UNK]"""], [], ["""[UNK]"""]]					)

            self.assertListEqual(
                [rust_tokenizer.tokenize(A__					) for t in ["""Test""", """\xad""", """test"""]]	,    [["""[UNK]"""], [], ["""[UNK]"""]]					)




       @slow
       def 					a_					(					self      : List[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Union[str, Any]				   =				self.tokenizer_class.from_pretrained("""bert-base-uncased"""					)

            __lowerCamelCase						:       Dict				   =				tokenizer.encode("""sequence builders"""	,    add_special_tokens=A__					)
            __lowerCamelCase						:       str				   =				tokenizer.encode("""multi-sequence build"""	,    add_special_tokens=A__					)

            __lowerCamelCase						:       Any				   =				tokenizer.build_inputs_with_special_tokens(A__					)
            __lowerCamelCase						:       Union[str, Any]				   =				tokenizer.build_inputs_with_special_tokens(A__	,    A__					)

            assert encoded_sentence == [101] + text + [102]
            assert encoded_pair == [101] + text + [102] + text_a + [102]




       def 					a_					(					self      : Tuple					):


            """simple docstring"""







            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"					):
                      __lowerCamelCase						:       Any				   =				self.rust_tokenizer_class.from_pretrained(A__	,    **A__					)

                      __lowerCamelCase						:       Union[str, Any]				   =				f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
                      __lowerCamelCase						:       Any				   =				tokenizer_r.encode_plus(
                          A__	,    return_attention_mask=A__	,    return_token_type_ids=A__	,    return_offsets_mapping=A__	,    add_special_tokens=A__	,    )

                      __lowerCamelCase						:       List[str]				   =				tokenizer_r.do_lower_case if hasattr(A__	,    """do_lower_case"""					) else False
                      __lowerCamelCase						:       Tuple				   =				(
                          [
                              ((0, 0), tokenizer_r.cls_token),
                              ((0, 1), """A"""),
                              ((1, 2), ""","""),
                              ((3, 5), """na"""),
                              ((5, 6), """##ï"""),
                              ((6, 8), """##ve"""),
                              ((9, 15), tokenizer_r.mask_token),
                              ((16, 21), """Allen"""),
                              ((21, 23), """##NL"""),
                              ((23, 24), """##P"""),
                              ((25, 33), """sentence"""),
                              ((33, 34), """."""),
                              ((0, 0), tokenizer_r.sep_token),
                          ]
                          if not do_lower_case
                          else [
                              ((0, 0), tokenizer_r.cls_token),
                              ((0, 1), """a"""),
                              ((1, 2), ""","""),
                              ((3, 8), """naive"""),
                              ((9, 15), tokenizer_r.mask_token),
                              ((16, 21), """allen"""),
                              ((21, 23), """##nl"""),
                              ((23, 24), """##p"""),
                              ((25, 33), """sentence"""),
                              ((33, 34), """."""),
                              ((0, 0), tokenizer_r.sep_token),
                          ]
                      )

                      self.assertEqual(
                          [e[1] for e in expected_results]	,    tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]					)					)
                      self.assertEqual([e[0] for e in expected_results]	,    tokens["""offset_mapping"""]					)




       def 					a_					(					self      : Optional[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[int]				   =				["""的""", """人""", """有"""]
            __lowerCamelCase						:       Optional[int]				   =				"""""".join(A__					)
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"					):
                      __lowerCamelCase						:       List[Any]				   =				True
                      __lowerCamelCase						:       Dict				   =				self.tokenizer_class.from_pretrained(A__	,    **A__					)
                      __lowerCamelCase						:       Any				   =				self.rust_tokenizer_class.from_pretrained(A__	,    **A__					)

                      __lowerCamelCase						:       int				   =				tokenizer_p.encode(A__	,    add_special_tokens=A__					)
                      __lowerCamelCase						:       str				   =				tokenizer_r.encode(A__	,    add_special_tokens=A__					)

                      __lowerCamelCase						:       List[str]				   =				tokenizer_r.convert_ids_to_tokens(A__					)
                      __lowerCamelCase						:       str				   =				tokenizer_p.convert_ids_to_tokens(A__					)

                      # it is expected that each Chinese character is not preceded by "##"
                      self.assertListEqual(A__	,    A__					)
                      self.assertListEqual(A__	,    A__					)

                      __lowerCamelCase						:       List[str]				   =				False
                      __lowerCamelCase						:       List[str]				   =				self.rust_tokenizer_class.from_pretrained(A__	,    **A__					)
                      __lowerCamelCase						:       Tuple				   =				self.tokenizer_class.from_pretrained(A__	,    **A__					)

                      __lowerCamelCase						:       List[Any]				   =				tokenizer_r.encode(A__	,    add_special_tokens=A__					)
                      __lowerCamelCase						:       int				   =				tokenizer_p.encode(A__	,    add_special_tokens=A__					)

                      __lowerCamelCase						:       Union[str, Any]				   =				tokenizer_r.convert_ids_to_tokens(A__					)
                      __lowerCamelCase						:       Dict				   =				tokenizer_p.convert_ids_to_tokens(A__					)

                      # it is expected that only the first Chinese character is not preceded by "##".
                      __lowerCamelCase						:       Dict				   =				[
                          f"##{token}" if idx != 0 else token for idx, token in enumerate(A__					)
                      ]
                      self.assertListEqual(A__	,    A__					)
                      self.assertListEqual(A__	,    A__					)











'''simple docstring'''

import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list







@require_torchaudio
@require_sentencepiece
class 	SCREAMING_SNAKE_CASE	(      unittest.TestCase  ):




       def 					a_					(					self      : str					):


            """simple docstring"""







            __lowerCamelCase						:       Any				   =				"""laion/clap-htsat-unfused"""
            __lowerCamelCase						:       List[Any]				   =				tempfile.mkdtemp()




       def 					a_					(					self      : Optional[int]	,    **A__      : Union[str, Any]					):


            """simple docstring"""







            return RobertaTokenizer.from_pretrained(self.checkpoint	,    **A__					)




       def 					a_					(					self      : str	,    **A__      : Any					):


            """simple docstring"""







            return ClapFeatureExtractor.from_pretrained(self.checkpoint	,    **A__					)




       def 					a_					(					self      : List[str]					):


            """simple docstring"""







            shutil.rmtree(self.tmpdirname					)




       def 					a_					(					self      : str					):


            """simple docstring"""







            __lowerCamelCase						:       Dict				   =				self.get_tokenizer()
            __lowerCamelCase						:       Union[str, Any]				   =				self.get_feature_extractor()

            __lowerCamelCase						:       Dict				   =				ClapProcessor(tokenizer=A__	,    feature_extractor=A__					)

            processor.save_pretrained(self.tmpdirname					)
            __lowerCamelCase						:       Optional[Any]				   =				ClapProcessor.from_pretrained(self.tmpdirname					)

            self.assertEqual(processor.tokenizer.get_vocab()	,    tokenizer.get_vocab()					)
            self.assertIsInstance(processor.tokenizer	,    A__					)

            self.assertEqual(processor.feature_extractor.to_json_string()	,    feature_extractor.to_json_string()					)
            self.assertIsInstance(processor.feature_extractor	,    A__					)




       def 					a_					(					self      : str					):


            """simple docstring"""







            __lowerCamelCase						:       str				   =				ClapProcessor(tokenizer=self.get_tokenizer()	,    feature_extractor=self.get_feature_extractor()					)
            processor.save_pretrained(self.tmpdirname					)

            __lowerCamelCase						:       Tuple				   =				self.get_tokenizer(bos_token="""(BOS)"""	,    eos_token="""(EOS)"""					)
            __lowerCamelCase						:       Any				   =				self.get_feature_extractor(do_normalize=A__	,    padding_value=1.0					)

            __lowerCamelCase						:       List[Any]				   =				ClapProcessor.from_pretrained(
                self.tmpdirname	,    bos_token="""(BOS)"""	,    eos_token="""(EOS)"""	,    do_normalize=A__	,    padding_value=1.0					)

            self.assertEqual(processor.tokenizer.get_vocab()	,    tokenizer_add_kwargs.get_vocab()					)
            self.assertIsInstance(processor.tokenizer	,    A__					)

            self.assertEqual(processor.feature_extractor.to_json_string()	,    feature_extractor_add_kwargs.to_json_string()					)
            self.assertIsInstance(processor.feature_extractor	,    A__					)




       def 					a_					(					self      : Optional[int]					):


            """simple docstring"""







            __lowerCamelCase						:       Dict				   =				self.get_feature_extractor()
            __lowerCamelCase						:       Tuple				   =				self.get_tokenizer()

            __lowerCamelCase						:       Optional[int]				   =				ClapProcessor(tokenizer=A__	,    feature_extractor=A__					)

            __lowerCamelCase						:       Dict				   =				floats_list((3, 1000)					)

            __lowerCamelCase						:       str				   =				feature_extractor(A__	,    return_tensors="""np"""					)
            __lowerCamelCase						:       Any				   =				processor(audios=A__	,    return_tensors="""np"""					)

            for key in input_feat_extract.keys():
                 self.assertAlmostEqual(input_feat_extract[key].sum()	,    input_processor[key].sum()	,    delta=1e-2					)




       def 					a_					(					self      : Any					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[Any]				   =				self.get_feature_extractor()
            __lowerCamelCase						:       int				   =				self.get_tokenizer()

            __lowerCamelCase						:       str				   =				ClapProcessor(tokenizer=A__	,    feature_extractor=A__					)

            __lowerCamelCase						:       int				   =				"""This is a test string"""

            __lowerCamelCase						:       Any				   =				processor(text=A__					)

            __lowerCamelCase						:       Any				   =				tokenizer(A__					)

            for key in encoded_tok.keys():
                 self.assertListEqual(encoded_tok[key]	,    encoded_processor[key]					)




       def 					a_					(					self      : List[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[int]				   =				self.get_feature_extractor()
            __lowerCamelCase						:       List[str]				   =				self.get_tokenizer()

            __lowerCamelCase						:       int				   =				ClapProcessor(tokenizer=A__	,    feature_extractor=A__					)

            __lowerCamelCase						:       Union[str, Any]				   =				[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

            __lowerCamelCase						:       int				   =				processor.batch_decode(A__					)
            __lowerCamelCase						:       List[Any]				   =				tokenizer.batch_decode(A__					)

            self.assertListEqual(A__	,    A__					)




       def 					a_					(					self      : str					):


            """simple docstring"""







            __lowerCamelCase						:       Any				   =				self.get_feature_extractor()
            __lowerCamelCase						:       List[Any]				   =				self.get_tokenizer()

            __lowerCamelCase						:       Any				   =				ClapProcessor(tokenizer=A__	,    feature_extractor=A__					)

            self.assertListEqual(
                processor.model_input_names[2:]	,    feature_extractor.model_input_names	,    msg="""`processor` and `feature_extractor` model input names do not match"""	,    )



