






"""simple docstring"""





import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin


class      _lowercase (     lowerCAmelCase		,  unittest.TestCase ):
      _a   :     Optional[int]								=   ProphetNetTokenizer
      _a   :     Dict								=   False


      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







            super().setUp()

            __snake_case      :    Any  			=[
                '''[UNK]''',
                '''[CLS]''',
                '''[SEP]''',
                '''[PAD]''',
                '''[MASK]''',
                '''want''',
                '''##want''',
                '''##ed''',
                '''wa''',
                '''un''',
                '''runn''',
                '''##ing''',
                ''',''',
                '''low''',
                '''lowest''',
            ]
            __snake_case      :    Tuple  			=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				:	Tuple							,   a				:	List[str]						):





            """simple docstring"""







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


      def _UpperCamelCase						(    self				:	Optional[int]						):





            """simple docstring"""







            __snake_case      :    Optional[Any]  			=self.tokenizer_class(self.vocab_file						)

            __snake_case      :    Dict  			=tokenizer.tokenize('''UNwant\u00E9d,running'''						)
            self.assertListEqual(a							,   ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']						)
            self.assertListEqual(tokenizer.convert_tokens_to_ids(a						)							,   [9, 6, 7, 1_2, 1_0, 1_1]						)


      def _UpperCamelCase						(    self				:	List[str]						):





            """simple docstring"""







            __snake_case      :    Union[str, Any]  			=BasicTokenizer()

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


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





            """simple docstring"""







            __snake_case      :    Optional[int]  			=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 _UpperCamelCase						(    self				:	List[Any]						):





            """simple docstring"""







            __snake_case      :    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 _UpperCamelCase						(    self				:	Tuple						):





            """simple docstring"""







            __snake_case      :    str  			=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 _UpperCamelCase						(    self				:	Optional[int]						):





            """simple docstring"""







            __snake_case      :    Any  			=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 _UpperCamelCase						(    self				:	str						):





            """simple docstring"""







            __snake_case      :    List[Any]  			=BasicTokenizer(do_lower_case=a						)

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


      def _UpperCamelCase						(    self				:	Tuple						):





            """simple docstring"""







            __snake_case      :    Union[str, Any]  			=BasicTokenizer(do_lower_case=a							,   strip_accents=a						)

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


      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







            __snake_case      :    str  			=BasicTokenizer(do_lower_case=a							,   strip_accents=a						)

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


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





            """simple docstring"""







            __snake_case      :    Tuple  			=BasicTokenizer(do_lower_case=a							,   never_split=['''[UNK]''']						)

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


      def _UpperCamelCase						(    self				:	Optional[Any]						):





            """simple docstring"""







            __snake_case      :    Optional[Any]  			=['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

            __snake_case      :    Tuple  			={}
            for i, token in enumerate(a						):
                  __snake_case      :    Optional[int]  			=i
            __snake_case      :    str  			=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''']						)


      @require_torch
      def _UpperCamelCase						(    self				:	str						):





            """simple docstring"""







            __snake_case      :    Optional[Any]  			=self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''						)

            __snake_case      :    int  			=['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
            __snake_case      :    Dict  			=[1_0_3_7, 2_1_4_6, 2_0_4_2_3, 2_0_0_5, 7_6_8_0, 7_8_4_9, 3_9_8_9, 1_0_1_2, 1_0_2]
            __snake_case      :    List[Any]  			=tokenizer(a							,   padding=a							,   return_tensors='''pt'''						)
            self.assertIsInstance(a							,   a						)
            __snake_case      :    Optional[Any]  			=list(batch.input_ids.numpy()[0]						)
            self.assertListEqual(a							,   a						)

            self.assertEqual((2, 9)							,   batch.input_ids.shape						)
            self.assertEqual((2, 9)							,   batch.attention_mask.shape						)


      def _UpperCamelCase						(    self				:	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 _UpperCamelCase						(    self				:	int						):





            """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 _UpperCamelCase						(    self				:	int						):





            """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(''' '''						)						)







      @slow
      def _UpperCamelCase						(    self				:	int						):





            """simple docstring"""







            __snake_case      :    Union[str, Any]  			=self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''						)

            __snake_case      :    Any  			=tokenizer.encode('''sequence builders'''							,   add_special_tokens=a						)
            __snake_case      :    Union[str, Any]  			=tokenizer.encode('''multi-sequence build'''							,   add_special_tokens=a						)

            __snake_case      :    List[str]  			=tokenizer.build_inputs_with_special_tokens(a						)
            __snake_case      :    List[Any]  			=tokenizer.build_inputs_with_special_tokens(a							,   a						)

            assert encoded_sentence == text + [1_0_2]
            assert encoded_pair == text + [1_0_2] + text_a + [1_0_2]










"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_	:				Any										= {"""configuration_reformer""": ["""REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ReformerConfig"""]}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_	:				List[str]										= ["""ReformerTokenizer"""]

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_	:				List[str]										= ["""ReformerTokenizerFast"""]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_	:				Optional[int]										= [
        """REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """ReformerAttention""",
        """ReformerForMaskedLM""",
        """ReformerForQuestionAnswering""",
        """ReformerForSequenceClassification""",
        """ReformerLayer""",
        """ReformerModel""",
        """ReformerModelWithLMHead""",
        """ReformerPreTrainedModel""",
    ]


if TYPE_CHECKING:
    from .configuration_reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_reformer import ReformerTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_reformer_fast import ReformerTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_reformer import (
            REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ReformerAttention,
            ReformerForMaskedLM,
            ReformerForQuestionAnswering,
            ReformerForSequenceClassification,
            ReformerLayer,
            ReformerModel,
            ReformerModelWithLMHead,
            ReformerPreTrainedModel,
        )

else:
    import sys

    UpperCamelCase_	:				Tuple										= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


