



"""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 				lowercase__       (   _UpperCAmelCase    , unittest.TestCase				):







       '''simple docstring'''


       UpperCamelCase						=					RobertaTokenizer
       UpperCamelCase						=					RobertaTokenizerFast
       UpperCamelCase						=					True
       UpperCamelCase						=					{'''cls_token''': '''<s>'''}



       def 					lowercase__    (							self      :  List[str]   )			->						Tuple:


             '''simple docstring'''




             super().setUp()

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

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



       def 					lowercase__    (							self      :  str		,    **_UpperCAmelCase      :  int   )			->						Tuple:


             '''simple docstring'''




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



       def 					lowercase__    (							self      :  Union[str, Any]		,    **_UpperCAmelCase      :  int   )			->						Dict:


             '''simple docstring'''




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



       def 					lowercase__    (							self      :  str		,    _UpperCAmelCase      :  Optional[Any]   )			->						Dict:


             '''simple docstring'''




             UpperCAmelCase_      			=							"""lower newer"""
             UpperCAmelCase_      			=							"""lower newer"""
             return input_text, output_text



       def 					lowercase__    (							self      :  Dict   )			->						List[str]:


             '''simple docstring'''




             UpperCAmelCase_      			=							self.tokenizer_class(self.vocab_file		,    self.merges_file		,    **self.special_tokens_map   )
             UpperCAmelCase_      			=							"""lower newer"""
             UpperCAmelCase_      			=							["""l""", """o""", """w""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
             UpperCAmelCase_      			=							tokenizer.tokenize(lowercase_   )  # , add_prefix_space=True)
             self.assertListEqual(lowercase_		,    lowercase_   )

             UpperCAmelCase_      			=							tokens + [tokenizer.unk_token]
             UpperCAmelCase_      			=							[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_   )		,    lowercase_   )



       def 					lowercase__    (							self      :  Dict   )			->						Dict:


             '''simple docstring'''




             UpperCAmelCase_      			=							self.get_tokenizer()

             self.assertListEqual(tokenizer.encode("Hello world!"		,    add_special_tokens=lowercase_   )		,    [0, 31414, 232, 328, 2]   )
             self.assertListEqual(
                 tokenizer.encode("Hello world! cécé herlolip 418"		,    add_special_tokens=lowercase_   )		,    [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]		,    )



       @slow
       def 					lowercase__    (							self      :  Tuple   )			->						List[Any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							self.tokenizer_class.from_pretrained("roberta-base"   )

             UpperCAmelCase_      			=							tokenizer.encode("sequence builders"		,    add_special_tokens=lowercase_   )
             UpperCAmelCase_      			=							tokenizer.encode("multi-sequence build"		,    add_special_tokens=lowercase_   )

             UpperCAmelCase_      			=							tokenizer.encode(
                 "sequence builders"		,    add_special_tokens=lowercase_		,    add_prefix_space=lowercase_   )
             UpperCAmelCase_      			=							tokenizer.encode(
                 "sequence builders"		,    "multi-sequence build"		,    add_special_tokens=lowercase_		,    add_prefix_space=lowercase_   )

             UpperCAmelCase_      			=							tokenizer.build_inputs_with_special_tokens(lowercase_   )
             UpperCAmelCase_      			=							tokenizer.build_inputs_with_special_tokens(lowercase_		,    lowercase_   )

             assert encoded_sentence == encoded_text_from_decode
             assert encoded_pair == encoded_pair_from_decode



       def 					lowercase__    (							self      :  Tuple   )			->						Dict:


             '''simple docstring'''




             UpperCAmelCase_      			=							self.get_tokenizer()

             UpperCAmelCase_      			=							"""Encode this sequence."""
             UpperCAmelCase_      			=							tokenizer.byte_encoder[""" """.encode("utf-8"   )[0]]

             # Testing encoder arguments
             UpperCAmelCase_      			=							tokenizer.encode(lowercase_		,    add_special_tokens=lowercase_		,    add_prefix_space=lowercase_   )
             UpperCAmelCase_      			=							tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
             self.assertNotEqual(lowercase_		,    lowercase_   )

             UpperCAmelCase_      			=							tokenizer.encode(lowercase_		,    add_special_tokens=lowercase_		,    add_prefix_space=lowercase_   )
             UpperCAmelCase_      			=							tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
             self.assertEqual(lowercase_		,    lowercase_   )

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

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

             UpperCAmelCase_      			=							"""Encode <mask> sequence"""
             UpperCAmelCase_      			=							"""Encode <mask>sequence"""

             UpperCAmelCase_      			=							tokenizer.encode(lowercase_   )
             UpperCAmelCase_      			=							encoded.index(lowercase_   )
             UpperCAmelCase_      			=							tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
             self.assertEqual(lowercase_		,    lowercase_   )

             UpperCAmelCase_      			=							tokenizer.encode(lowercase_   )
             UpperCAmelCase_      			=							encoded.index(lowercase_   )
             UpperCAmelCase_      			=							tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
             self.assertNotEqual(lowercase_		,    lowercase_   )



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


             '''simple docstring'''




             pass



       def 					lowercase__    (							self      :  Union[str, Any]   )			->						List[Any]:


             '''simple docstring'''




             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""   ):
                         UpperCAmelCase_      			=							self.rust_tokenizer_class.from_pretrained(lowercase_		,    **lowercase_   )
                         UpperCAmelCase_      			=							self.tokenizer_class.from_pretrained(lowercase_		,    **lowercase_   )
                         UpperCAmelCase_      			=							"""A, <mask> AllenNLP sentence."""
                         UpperCAmelCase_      			=							tokenizer_r.encode_plus(lowercase_		,    add_special_tokens=lowercase_		,    return_token_type_ids=lowercase_   )
                         UpperCAmelCase_      			=							tokenizer_p.encode_plus(lowercase_		,    add_special_tokens=lowercase_		,    return_token_type_ids=lowercase_   )

                         # 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_      			=							tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]   )
                         UpperCAmelCase_      			=							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, 50264, 3823, 487, 21992, 3645, 4, 2]   )
                         self.assertSequenceEqual(tokens_r["input_ids"]		,    [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]   )

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



       def 					lowercase__    (							self      :  Tuple   )			->						List[Any]:


             '''simple docstring'''




             for trim_offsets, add_prefix_space in itertools.product([True, False]		,    repeat=2   ):
                   UpperCAmelCase_      			=							self.rust_tokenizer_class.from_pretrained(
                       self.tmpdirname		,    use_fast=lowercase_		,    add_prefix_space=lowercase_		,    trim_offsets=lowercase_   )

                   UpperCAmelCase_      			=							json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()   )
                   UpperCAmelCase_      			=							json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()   )

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

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







       def 					lowercase__    (							self      :  Any   )			->						Union[str, Any]:


             '''simple docstring'''




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

                         UpperCAmelCase_      			=							self.rust_tokenizer_class.from_pretrained(
                             lowercase_		,    use_fast=lowercase_		,    add_prefix_space=lowercase_		,    trim_offsets=lowercase_   )
                         UpperCAmelCase_      			=							tokenizer_r(lowercase_		,    return_offsets_mapping=lowercase_		,    add_special_tokens=lowercase_   )
                         self.assertEqual(encoding.offset_mapping[0]		,    (0, len(lowercase_   ))   )
                         self.assertEqual(
                             encoding.offset_mapping[1]		,    (len(lowercase_   ) + 1, len(lowercase_   ) + 1 + len(lowercase_   ))		,    )

                         UpperCAmelCase_      			=							self.rust_tokenizer_class.from_pretrained(
                             lowercase_		,    use_fast=lowercase_		,    add_prefix_space=lowercase_		,    trim_offsets=lowercase_   )
                         UpperCAmelCase_      			=							tokenizer_r(lowercase_		,    return_offsets_mapping=lowercase_		,    add_special_tokens=lowercase_   )
                         self.assertEqual(encoding.offset_mapping[0]		,    (0, len(lowercase_   ))   )
                         self.assertEqual(
                             encoding.offset_mapping[1]		,    (len(lowercase_   ) + 1, len(lowercase_   ) + 1 + len(lowercase_   ))		,    )

                         UpperCAmelCase_      			=							self.rust_tokenizer_class.from_pretrained(
                             lowercase_		,    use_fast=lowercase_		,    add_prefix_space=lowercase_		,    trim_offsets=lowercase_   )
                         UpperCAmelCase_      			=							tokenizer_r(lowercase_		,    return_offsets_mapping=lowercase_		,    add_special_tokens=lowercase_   )
                         self.assertEqual(encoding.offset_mapping[0]		,    (0, len(lowercase_   ))   )
                         self.assertEqual(
                             encoding.offset_mapping[1]		,    (len(lowercase_   ), len(lowercase_   ) + 1 + len(lowercase_   ))		,    )

                         UpperCAmelCase_      			=							self.rust_tokenizer_class.from_pretrained(
                             lowercase_		,    use_fast=lowercase_		,    add_prefix_space=lowercase_		,    trim_offsets=lowercase_   )
                         UpperCAmelCase_      			=							tokenizer_r(lowercase_		,    return_offsets_mapping=lowercase_		,    add_special_tokens=lowercase_   )
                         self.assertEqual(encoding.offset_mapping[0]		,    (0, len(lowercase_   ))   )
                         self.assertEqual(
                             encoding.offset_mapping[1]		,    (len(lowercase_   ), len(lowercase_   ) + 1 + len(lowercase_   ))		,    )

                         UpperCAmelCase_      			=							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_      			=							self.rust_tokenizer_class.from_pretrained(
                             lowercase_		,    use_fast=lowercase_		,    add_prefix_space=lowercase_		,    trim_offsets=lowercase_   )
                         UpperCAmelCase_      			=							tokenizer_r(lowercase_		,    return_offsets_mapping=lowercase_		,    add_special_tokens=lowercase_   )
                         self.assertEqual(encoding.offset_mapping[0]		,    (1, 1 + len(lowercase_   ))   )
                         self.assertEqual(
                             encoding.offset_mapping[1]		,    (1 + len(lowercase_   ) + 1, 1 + len(lowercase_   ) + 1 + len(lowercase_   ))		,    )

                         UpperCAmelCase_      			=							self.rust_tokenizer_class.from_pretrained(
                             lowercase_		,    use_fast=lowercase_		,    add_prefix_space=lowercase_		,    trim_offsets=lowercase_   )
                         UpperCAmelCase_      			=							tokenizer_r(lowercase_		,    return_offsets_mapping=lowercase_		,    add_special_tokens=lowercase_   )
                         self.assertEqual(encoding.offset_mapping[0]		,    (0, 1 + len(lowercase_   ))   )
                         self.assertEqual(
                             encoding.offset_mapping[1]		,    (1 + len(lowercase_   ), 1 + len(lowercase_   ) + 1 + len(lowercase_   ))		,    )

                         UpperCAmelCase_      			=							self.rust_tokenizer_class.from_pretrained(
                             lowercase_		,    use_fast=lowercase_		,    add_prefix_space=lowercase_		,    trim_offsets=lowercase_   )
                         UpperCAmelCase_      			=							tokenizer_r(lowercase_		,    return_offsets_mapping=lowercase_		,    add_special_tokens=lowercase_   )
                         self.assertEqual(encoding.offset_mapping[0]		,    (0, 1 + len(lowercase_   ))   )
                         self.assertEqual(
                             encoding.offset_mapping[1]		,    (1 + len(lowercase_   ), 1 + len(lowercase_   ) + 1 + len(lowercase_   ))		,    )









"""simple docstring"""





from collections.abc import Iterable
from typing import Generic, TypeVar

lowerCamelCase       	=						TypeVar("""_T""")
class 				lowercase__       (   Generic[_T]				):







       '''simple docstring'''


       def __init__(							self      :  int		,    _UpperCAmelCase      :  Iterable[_T] | None = None   )			->						None:


             '''simple docstring'''




             UpperCAmelCase_      			=							list(iterable or []   )
             UpperCAmelCase_      			=							[]



       def __len__(							self      :  Optional[int]   )			->						int:


             '''simple docstring'''




             return len(self._stacka   ) + len(self._stacka   )



       def __repr__(							self      :  Optional[Any]   )			->						str:


             '''simple docstring'''




             return F"""Queue({tuple(self._stacka[::-1] + self._stacka   )})"""



       def 					lowercase__    (							self      :  Optional[Any]		,    _UpperCAmelCase      :  _T   )			->						None:


             '''simple docstring'''




             self._stacka.append(_UpperCAmelCase   )







       def 					lowercase__    (							self      :  Dict   )			->						_T:


             '''simple docstring'''




             UpperCAmelCase_      			=							self._stacka.pop
             UpperCAmelCase_      			=							self._stacka.append

             if not self._stacka:
                   while self._stacka:
                         stacka_append(stacka_pop()   )

             if not self._stacka:
                   raise IndexError("Queue is empty"   )
             return self._stacka.pop()


if __name__ == "__main__":
  from doctest import testmod

  testmod()




