



import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class  lowerCamelCase__	(    UpperCAmelCase_							,     unittest.TestCase):
     """simple docstring"""



     _A      =      LongformerTokenizer
     _A      =      True
     _A      =      LongformerTokenizerFast
     _A      =      True







     def     _a   (self     ):






           '''simple docstring'''



           super().setUp()

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

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







     def     _a   (self					,      **__a     ):






           '''simple docstring'''



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







     def     _a   (self					,      **__a     ):






           '''simple docstring'''



           kwargs.update(self.special_tokens_map     )
           return self.rust_tokenizer_class.from_pretrained(self.tmpdirname					,      **__a     )







     def     _a   (self					,      __a     ):






           '''simple docstring'''



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







     def     _a   (self     ):






           '''simple docstring'''



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

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







     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		self.get_tokenizer()

           self.assertListEqual(tokenizer.encode("Hello world!"					,      add_special_tokens=__a     )					,      [0, 3_14_14, 2_32, 3_28, 2]     )
           self.assertListEqual(
               tokenizer.encode("Hello world! cécé herlolip 418"					,      add_special_tokens=__a     )					,      [0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]					,      )







     @slow
     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"     )

           lowerCamelCase             =		tokenizer.encode("sequence builders"					,      add_special_tokens=__a     )
           lowerCamelCase             =		tokenizer.encode("multi-sequence build"					,      add_special_tokens=__a     )

           lowerCamelCase             =		tokenizer.encode(
               "sequence builders"					,      add_special_tokens=__a					,      add_prefix_space=__a     )
           lowerCamelCase             =		tokenizer.encode(
               "sequence builders"					,      "multi-sequence build"					,      add_special_tokens=__a					,      add_prefix_space=__a     )

           lowerCamelCase             =		tokenizer.build_inputs_with_special_tokens(__a     )
           lowerCamelCase             =		tokenizer.build_inputs_with_special_tokens(__a					,      __a     )

           assert encoded_sentence == encoded_text_from_decode
           assert encoded_pair == encoded_pair_from_decode







     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		self.get_tokenizer()

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

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

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

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

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

           lowerCamelCase             =		"Encode <mask> sequence"
           lowerCamelCase             =		"Encode <mask>sequence"

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

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







     def     _a   (self     ):






           '''simple docstring'''



           pass







     def     _a   (self     ):






           '''simple docstring'''



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

                       # 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"]     )					,      )

                       lowerCamelCase             =		tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]     )
                       lowerCamelCase             =		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, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]     )
                       self.assertSequenceEqual(tokens_r["input_ids"]					,      [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]     )

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







     def     _a   (self     ):






           '''simple docstring'''



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

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

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

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







     def     _a   (self     ):






           '''simple docstring'''



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

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

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

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

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

                       lowerCamelCase             =		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)),
                       # )

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

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

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




from ..utils import DummyObject, requires_backends





class  lowerCamelCase__	(    metaclass=UpperCAmelCase_):
     """simple docstring"""



     _A      =      ['transformers', 'torch', 'note_seq']







     def __init__(self					,      *__a					,      **__a     ):






           '''simple docstring'''



           requires_backends(self					,      ["transformers", "torch", "note_seq"]     )







     @classmethod
     def     _a   (cls					,      *__a					,      **__a     ):






           '''simple docstring'''



           requires_backends(cls					,      ["transformers", "torch", "note_seq"]     )







     @classmethod
     def     _a   (cls					,      *__a					,      **__a     ):






           '''simple docstring'''



           requires_backends(cls					,      ["transformers", "torch", "note_seq"]     )