'''simple docstring'''






import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




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



  """simple docstring"""
  __lowerCAmelCase				      =					RobertaTokenizer
  __lowerCAmelCase				      =					RobertaTokenizerFast
  __lowerCAmelCase				      =					True
  __lowerCAmelCase				      =					{"""cls_token""": """<s>"""}







  def    lowercase_  (							self					):

    '''simple docstring'''







    super().setUp()

    # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
    __UpperCAmelCase:					Optional[Any]		= [
        """l""",
        """o""",
        """w""",
        """e""",
        """r""",
        """s""",
        """t""",
        """i""",
        """d""",
        """n""",
        """\u0120""",
        """\u0120l""",
        """\u0120n""",
        """\u0120lo""",
        """\u0120low""",
        """er""",
        """\u0120lowest""",
        """\u0120newer""",
        """\u0120wider""",
        """<unk>""",
    ]
    __UpperCAmelCase:					Optional[int]		= dict(zip(snake_case_   ,    range(len(snake_case_					)					)					)					)
    __UpperCAmelCase:					Optional[int]		= ["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
    __UpperCAmelCase:					int		= {"""unk_token""": """<unk>"""}

    __UpperCAmelCase:					Tuple		= os.path.join(self.tmpdirname   ,    VOCAB_FILES_NAMES["""vocab_file"""]					)
    __UpperCAmelCase:					Tuple		= os.path.join(self.tmpdirname   ,    VOCAB_FILES_NAMES["""merges_file"""]					)
    with open(self.vocab_file   ,    """w"""   ,    encoding="""utf-8"""					) as fp:
      fp.write(json.dumps(snake_case_					) + """\n"""					)
    with open(self.merges_file   ,    """w"""   ,    encoding="""utf-8"""					) as fp:
      fp.write("""\n""".join(snake_case_					)					)







  def    lowercase_  (							self   ,    **snake_case_					):

    '''simple docstring'''







    kwargs.update(self.special_tokens_map					)
    return self.tokenizer_class.from_pretrained(self.tmpdirname   ,    **snake_case_					)







  def    lowercase_  (							self   ,    **snake_case_					):

    '''simple docstring'''







    kwargs.update(self.special_tokens_map					)
    return RobertaTokenizerFast.from_pretrained(self.tmpdirname   ,    **snake_case_					)







  def    lowercase_  (							self   ,    snake_case_					):

    '''simple docstring'''







    __UpperCAmelCase:					Dict		= """lower newer"""
    __UpperCAmelCase:					List[str]		= """lower newer"""
    return input_text, output_text







  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					Dict		= self.tokenizer_class(self.vocab_file   ,    self.merges_file   ,    **self.special_tokens_map					)
    __UpperCAmelCase:					Union[str, Any]		= """lower newer"""
    __UpperCAmelCase:					List[Any]		= ["""l""", """o""", """w""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
    __UpperCAmelCase:					str		= tokenizer.tokenize(snake_case_					)  # , add_prefix_space=True)
    self.assertListEqual(snake_case_   ,    snake_case_					)

    __UpperCAmelCase:					Optional[int]		= tokens + [tokenizer.unk_token]
    __UpperCAmelCase:					str		= [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_					)   ,    snake_case_					)







  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					Optional[int]		= self.get_tokenizer()

    self.assertListEqual(tokenizer.encode("""Hello world!"""   ,    add_special_tokens=snake_case_					)   ,    [0, 3_1414, 232, 328, 2]					)
    self.assertListEqual(
        tokenizer.encode("""Hello world! cécé herlolip 418"""   ,    add_special_tokens=snake_case_					)   ,    [0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]   ,    )







  @slow
  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					Union[str, Any]		= self.tokenizer_class.from_pretrained("""roberta-base"""					)

    __UpperCAmelCase:					str		= tokenizer.encode("""sequence builders"""   ,    add_special_tokens=snake_case_					)
    __UpperCAmelCase:					str		= tokenizer.encode("""multi-sequence build"""   ,    add_special_tokens=snake_case_					)

    __UpperCAmelCase:					List[Any]		= tokenizer.encode(
        """sequence builders"""   ,    add_special_tokens=snake_case_   ,    add_prefix_space=snake_case_					)
    __UpperCAmelCase:					Any		= tokenizer.encode(
        """sequence builders"""   ,    """multi-sequence build"""   ,    add_special_tokens=snake_case_   ,    add_prefix_space=snake_case_					)

    __UpperCAmelCase:					Dict		= tokenizer.build_inputs_with_special_tokens(snake_case_					)
    __UpperCAmelCase:					int		= tokenizer.build_inputs_with_special_tokens(snake_case_   ,    snake_case_					)

    assert encoded_sentence == encoded_text_from_decode
    assert encoded_pair == encoded_pair_from_decode







  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					Optional[Any]		= self.get_tokenizer()

    __UpperCAmelCase:					Tuple		= """Encode this sequence."""
    __UpperCAmelCase:					Optional[Any]		= tokenizer.byte_encoder[""" """.encode("""utf-8"""					)[0]]

    # Testing encoder arguments
    __UpperCAmelCase:					Dict		= tokenizer.encode(snake_case_   ,    add_special_tokens=snake_case_   ,    add_prefix_space=snake_case_					)
    __UpperCAmelCase:					List[str]		= tokenizer.convert_ids_to_tokens(encoded[0]					)[0]
    self.assertNotEqual(snake_case_   ,    snake_case_					)

    __UpperCAmelCase:					Dict		= tokenizer.encode(snake_case_   ,    add_special_tokens=snake_case_   ,    add_prefix_space=snake_case_					)
    __UpperCAmelCase:					Tuple		= tokenizer.convert_ids_to_tokens(encoded[0]					)[0]
    self.assertEqual(snake_case_   ,    snake_case_					)

    tokenizer.add_special_tokens({"""bos_token""": """<s>"""}					)
    __UpperCAmelCase:					str		= tokenizer.encode(snake_case_   ,    add_special_tokens=snake_case_					)
    __UpperCAmelCase:					Dict		= tokenizer.convert_ids_to_tokens(encoded[1]					)[0]
    self.assertNotEqual(snake_case_   ,    snake_case_					)

    # Testing spaces after special tokens
    __UpperCAmelCase:					Dict		= """<mask>"""
    tokenizer.add_special_tokens(
        {"""mask_token""": AddedToken(snake_case_   ,    lstrip=snake_case_   ,    rstrip=snake_case_					)}					)  # mask token has a left space
    __UpperCAmelCase:					Any		= tokenizer.convert_tokens_to_ids(snake_case_					)

    __UpperCAmelCase:					List[Any]		= """Encode <mask> sequence"""
    __UpperCAmelCase:					Dict		= """Encode <mask>sequence"""

    __UpperCAmelCase:					Dict		= tokenizer.encode(snake_case_					)
    __UpperCAmelCase:					List[Any]		= encoded.index(snake_case_					)
    __UpperCAmelCase:					Dict		= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]					)[0]
    self.assertEqual(snake_case_   ,    snake_case_					)

    __UpperCAmelCase:					Any		= tokenizer.encode(snake_case_					)
    __UpperCAmelCase:					List[str]		= encoded.index(snake_case_					)
    __UpperCAmelCase:					List[Any]		= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]					)[0]
    self.assertNotEqual(snake_case_   ,    snake_case_					)







  def    lowercase_  (							self					):

    '''simple docstring'''







    pass







  def    lowercase_  (							self					):

    '''simple docstring'''







    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
      with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''					):
        __UpperCAmelCase:					Optional[Any]		= self.rust_tokenizer_class.from_pretrained(snake_case_   ,    **snake_case_					)
        __UpperCAmelCase:					Optional[int]		= self.tokenizer_class.from_pretrained(snake_case_   ,    **snake_case_					)
        __UpperCAmelCase:					List[Any]		= """A, <mask> AllenNLP sentence."""
        __UpperCAmelCase:					Optional[Any]		= tokenizer_r.encode_plus(snake_case_   ,    add_special_tokens=snake_case_   ,    return_token_type_ids=snake_case_					)
        __UpperCAmelCase:					List[Any]		= tokenizer_p.encode_plus(snake_case_   ,    add_special_tokens=snake_case_   ,    return_token_type_ids=snake_case_					)

        # token_type_ids should put 0 everywhere
        self.assertEqual(sum(tokens_r["""token_type_ids"""]					)   ,    sum(tokens_p["""token_type_ids"""]					)					)

        # attention_mask should put 1 everywhere, so sum over length should be 1
        self.assertEqual(
            sum(tokens_r["""attention_mask"""]					) / len(tokens_r["""attention_mask"""]					)   ,    sum(tokens_p["""attention_mask"""]					) / len(tokens_p["""attention_mask"""]					)   ,    )

        __UpperCAmelCase:					List[str]		= tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""]					)
        __UpperCAmelCase:					Any		= tokenizer_p.convert_ids_to_tokens(tokens_p["""input_ids"""]					)

        # Rust correctly handles the space before the mask while python doesnt
        self.assertSequenceEqual(tokens_p["""input_ids"""]   ,    [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]					)
        self.assertSequenceEqual(tokens_r["""input_ids"""]   ,    [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]					)

        self.assertSequenceEqual(
            snake_case_   ,    ["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]					)
        self.assertSequenceEqual(
            snake_case_   ,    ["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]					)







  def    lowercase_  (							self					):

    '''simple docstring'''







    for trim_offsets, add_prefix_space in itertools.product([True, False]   ,    repeat=2					):
      __UpperCAmelCase:					Optional[Any]		= self.rust_tokenizer_class.from_pretrained(
          self.tmpdirname   ,    use_fast=snake_case_   ,    add_prefix_space=snake_case_   ,    trim_offsets=snake_case_					)

      __UpperCAmelCase:					Tuple		= json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()					)
      __UpperCAmelCase:					Union[str, Any]		= json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()					)

      self.assertEqual(pre_tokenizer_state["""add_prefix_space"""]   ,    snake_case_					)

      self.assertEqual(post_processor_state["""add_prefix_space"""]   ,    snake_case_					)
      self.assertEqual(post_processor_state["""trim_offsets"""]   ,    snake_case_					)







  def    lowercase_  (							self					):

    '''simple docstring'''







    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
      with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''					):
        __UpperCAmelCase:					int		= """hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
        __UpperCAmelCase:					Dict		= F'''{text_of_1_token} {text_of_1_token}'''

        __UpperCAmelCase:					int		= self.rust_tokenizer_class.from_pretrained(
            snake_case_   ,    use_fast=snake_case_   ,    add_prefix_space=snake_case_   ,    trim_offsets=snake_case_					)
        __UpperCAmelCase:					Tuple		= tokenizer_r(snake_case_   ,    return_offsets_mapping=snake_case_   ,    add_special_tokens=snake_case_					)
        self.assertEqual(encoding.offset_mapping[0]   ,    (0, len(snake_case_					))					)
        self.assertEqual(
            encoding.offset_mapping[1]   ,    (len(snake_case_					) + 1, len(snake_case_					) + 1 + len(snake_case_					))   ,    )

        __UpperCAmelCase:					Optional[Any]		= self.rust_tokenizer_class.from_pretrained(
            snake_case_   ,    use_fast=snake_case_   ,    add_prefix_space=snake_case_   ,    trim_offsets=snake_case_					)
        __UpperCAmelCase:					str		= tokenizer_r(snake_case_   ,    return_offsets_mapping=snake_case_   ,    add_special_tokens=snake_case_					)
        self.assertEqual(encoding.offset_mapping[0]   ,    (0, len(snake_case_					))					)
        self.assertEqual(
            encoding.offset_mapping[1]   ,    (len(snake_case_					) + 1, len(snake_case_					) + 1 + len(snake_case_					))   ,    )

        __UpperCAmelCase:					Any		= self.rust_tokenizer_class.from_pretrained(
            snake_case_   ,    use_fast=snake_case_   ,    add_prefix_space=snake_case_   ,    trim_offsets=snake_case_					)
        __UpperCAmelCase:					Dict		= tokenizer_r(snake_case_   ,    return_offsets_mapping=snake_case_   ,    add_special_tokens=snake_case_					)
        self.assertEqual(encoding.offset_mapping[0]   ,    (0, len(snake_case_					))					)
        self.assertEqual(
            encoding.offset_mapping[1]   ,    (len(snake_case_					), len(snake_case_					) + 1 + len(snake_case_					))   ,    )

        __UpperCAmelCase:					int		= self.rust_tokenizer_class.from_pretrained(
            snake_case_   ,    use_fast=snake_case_   ,    add_prefix_space=snake_case_   ,    trim_offsets=snake_case_					)
        __UpperCAmelCase:					Union[str, Any]		= tokenizer_r(snake_case_   ,    return_offsets_mapping=snake_case_   ,    add_special_tokens=snake_case_					)
        self.assertEqual(encoding.offset_mapping[0]   ,    (0, len(snake_case_					))					)
        self.assertEqual(
            encoding.offset_mapping[1]   ,    (len(snake_case_					), len(snake_case_					) + 1 + len(snake_case_					))   ,    )

        __UpperCAmelCase:					Any		= F''' {text}'''

        # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
        #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
        # )
        # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
        # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
        # self.assertEqual(
        #     encoding.offset_mapping[1],
        #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
        # )

        __UpperCAmelCase:					int		= self.rust_tokenizer_class.from_pretrained(
            snake_case_   ,    use_fast=snake_case_   ,    add_prefix_space=snake_case_   ,    trim_offsets=snake_case_					)
        __UpperCAmelCase:					Dict		= tokenizer_r(snake_case_   ,    return_offsets_mapping=snake_case_   ,    add_special_tokens=snake_case_					)
        self.assertEqual(encoding.offset_mapping[0]   ,    (1, 1 + len(snake_case_					))					)
        self.assertEqual(
            encoding.offset_mapping[1]   ,    (1 + len(snake_case_					) + 1, 1 + len(snake_case_					) + 1 + len(snake_case_					))   ,    )

        __UpperCAmelCase:					Optional[int]		= self.rust_tokenizer_class.from_pretrained(
            snake_case_   ,    use_fast=snake_case_   ,    add_prefix_space=snake_case_   ,    trim_offsets=snake_case_					)
        __UpperCAmelCase:					Optional[int]		= tokenizer_r(snake_case_   ,    return_offsets_mapping=snake_case_   ,    add_special_tokens=snake_case_					)
        self.assertEqual(encoding.offset_mapping[0]   ,    (0, 1 + len(snake_case_					))					)
        self.assertEqual(
            encoding.offset_mapping[1]   ,    (1 + len(snake_case_					), 1 + len(snake_case_					) + 1 + len(snake_case_					))   ,    )

        __UpperCAmelCase:					Optional[int]		= self.rust_tokenizer_class.from_pretrained(
            snake_case_   ,    use_fast=snake_case_   ,    add_prefix_space=snake_case_   ,    trim_offsets=snake_case_					)
        __UpperCAmelCase:					Tuple		= tokenizer_r(snake_case_   ,    return_offsets_mapping=snake_case_   ,    add_special_tokens=snake_case_					)
        self.assertEqual(encoding.offset_mapping[0]   ,    (0, 1 + len(snake_case_					))					)
        self.assertEqual(
            encoding.offset_mapping[1]   ,    (1 + len(snake_case_					), 1 + len(snake_case_					) + 1 + len(snake_case_					))   ,    )
'''simple docstring'''






from ....utils import logging


SCREAMING_SNAKE_CASE_	   =			logging.get_logger(__name__)




class    a (       __lowerCAmelCase				):



  """simple docstring"""







  def __init__(							self   ,    snake_case_   ,    snake_case_=None   ,    snake_case_=2048					):

    '''simple docstring'''







    __UpperCAmelCase:					List[str]		= config.__dict__
    __UpperCAmelCase:					str		= modal_hidden_size
    if num_labels:
      __UpperCAmelCase:					int		= num_labels