





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     SCREAMING_SNAKE_CASE       (UpperCAmelCase      ,     unittest.TestCase				):
   _UpperCamelCase   :		Union[str, Any]			 =	LongformerTokenizer
   _UpperCamelCase   :		Union[str, Any]			 =	True
   _UpperCamelCase   :		Any			 =	LongformerTokenizerFast
   _UpperCamelCase   :		List[Any]			 =	True


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





     """simple docstring"""







     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     lowercase__           =  [
         'l',
         'o',
         'w',
         'e',
         'r',
         's',
         't',
         'i',
         'd',
         'n',
         '\u0120',
         '\u0120l',
         '\u0120n',
         '\u0120lo',
         '\u0120low',
         'er',
         '\u0120lowest',
         '\u0120newer',
         '\u0120wider',
         '<unk>',
     ]
     lowercase__           =  dict(zip(a      ,					range(len(a	)	)	)	)
     lowercase__           =  ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
     lowercase__           =  {'unk_token': '<unk>'}

     lowercase__           =  os.path.join(self.tmpdirname      ,					VOCAB_FILES_NAMES['vocab_file']	)
     lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    str      ,					**a      :    Dict	)->       int:





     """simple docstring"""







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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Tuple      ,					**a      :    Union[str, Any]	)->       List[str]:





     """simple docstring"""







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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[Any]      ,					a      :    Tuple	)->       Any:





     """simple docstring"""







     lowercase__           =  'lower newer'
     lowercase__           =  'lower newer'
     return input_text, output_text


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[int]	)->       Dict:





     """simple docstring"""







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

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


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





     """simple docstring"""







     lowercase__           =  self.get_tokenizer()

     self.assertListEqual(tokenizer.encode('Hello world!'      ,					add_special_tokens=a	)      ,					[0, 31_414, 232, 328, 2]	)
     self.assertListEqual(
         tokenizer.encode('Hello world! cécé herlolip 418'      ,					add_special_tokens=a	)      ,					[0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]      ,					)


   @slow
   def 	SCREAMING_SNAKE_CASE_							(   self      :    int	)->       str:





     """simple docstring"""







     lowercase__           =  self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'	)

     lowercase__           =  tokenizer.encode('sequence builders'      ,					add_special_tokens=a	)
     lowercase__           =  tokenizer.encode('multi-sequence build'      ,					add_special_tokens=a	)

     lowercase__           =  tokenizer.encode(
         'sequence builders'      ,					add_special_tokens=a      ,					add_prefix_space=a	)
     lowercase__           =  tokenizer.encode(
         'sequence builders'      ,					'multi-sequence build'      ,					add_special_tokens=a      ,					add_prefix_space=a	)

     lowercase__           =  tokenizer.build_inputs_with_special_tokens(a	)
     lowercase__           =  tokenizer.build_inputs_with_special_tokens(a      ,					a	)

     assert encoded_sentence == encoded_text_from_decode
     assert encoded_pair == encoded_pair_from_decode


   def 	SCREAMING_SNAKE_CASE_							(   self      :    str	)->       List[Any]:





     """simple docstring"""







     lowercase__           =  self.get_tokenizer()

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

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

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

     tokenizer.add_special_tokens({'bos_token': '<s>'}	)
     lowercase__           =  tokenizer.encode(a      ,					add_special_tokens=a	)
     lowercase__           =  tokenizer.convert_ids_to_tokens(encoded[1]	)[0]
     self.assertNotEqual(a      ,					a	)

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

     lowercase__           =  'Encode <mask> sequence'
     lowercase__           =  'Encode <mask>sequence'

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

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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    int	)->       Dict:





     """simple docstring"""







     pass


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Tuple	)->       Optional[Any]:





     """simple docstring"""







     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
         lowercase__           =  self.rust_tokenizer_class.from_pretrained(a      ,					**a	)
         lowercase__           =  self.tokenizer_class.from_pretrained(a      ,					**a	)
         lowercase__           =  'A, <mask> AllenNLP sentence.'
         lowercase__           =  tokenizer_r.encode_plus(a      ,					add_special_tokens=a      ,					return_token_type_ids=a	)
         lowercase__           =  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']	)      ,					)

         lowercase__           =  tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']	)
         lowercase__           =  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, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]	)
         self.assertSequenceEqual(tokens_r['input_ids']      ,					[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 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 	SCREAMING_SNAKE_CASE_							(   self      :    Union[str, Any]	)->       Optional[Any]:





     """simple docstring"""







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

       lowercase__           =  json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()	)
       lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    str	)->       Optional[Any]:





     """simple docstring"""







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

         lowercase__           =  self.rust_tokenizer_class.from_pretrained(
             a      ,					use_fast=a      ,					add_prefix_space=a      ,					trim_offsets=a	)
         lowercase__           =  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	))      ,					)

         lowercase__           =  self.rust_tokenizer_class.from_pretrained(
             a      ,					use_fast=a      ,					add_prefix_space=a      ,					trim_offsets=a	)
         lowercase__           =  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	))      ,					)

         lowercase__           =  self.rust_tokenizer_class.from_pretrained(
             a      ,					use_fast=a      ,					add_prefix_space=a      ,					trim_offsets=a	)
         lowercase__           =  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	))      ,					)

         lowercase__           =  self.rust_tokenizer_class.from_pretrained(
             a      ,					use_fast=a      ,					add_prefix_space=a      ,					trim_offsets=a	)
         lowercase__           =  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	))      ,					)

         lowercase__           =  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)),
         # )

         lowercase__           =  self.rust_tokenizer_class.from_pretrained(
             a      ,					use_fast=a      ,					add_prefix_space=a      ,					trim_offsets=a	)
         lowercase__           =  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	))      ,					)

         lowercase__           =  self.rust_tokenizer_class.from_pretrained(
             a      ,					use_fast=a      ,					add_prefix_space=a      ,					trim_offsets=a	)
         lowercase__           =  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	))      ,					)

         lowercase__           =  self.rust_tokenizer_class.from_pretrained(
             a      ,					use_fast=a      ,					add_prefix_space=a      ,					trim_offsets=a	)
         lowercase__           =  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 typing import TYPE_CHECKING

from ..utils import _LazyModule


lowercase_          =		{
    """config""": [
        """EXTERNAL_DATA_FORMAT_SIZE_LIMIT""",
        """OnnxConfig""",
        """OnnxConfigWithPast""",
        """OnnxSeq2SeqConfigWithPast""",
        """PatchingSpec""",
    ],
    """convert""": ["""export""", """validate_model_outputs"""],
    """features""": ["""FeaturesManager"""],
    """utils""": ["""ParameterFormat""", """compute_serialized_parameters_size"""],
}


if TYPE_CHECKING:
      from .config import (
          EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
          OnnxConfig,
          OnnxConfigWithPast,
          OnnxSeqaSeqConfigWithPast,
          PatchingSpec,
      )
      from .convert import export, validate_model_outputs
      from .features import FeaturesManager
      from .utils import ParameterFormat, compute_serialized_parameters_size

else:
      import sys

      lowercase_          =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


