


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 _lowerCamelCase(						_a, unittest.TestCase   ):
       lowercase_ :	List[str]     =			RobertaTokenizer
       lowercase_ :	Any     =			RobertaTokenizerFast
       lowercase_ :	Dict     =			True
       lowercase_ :	List[Any]     =			{"""cls_token""": """<s>"""}
       def 			UpperCamelCase     (					self)       ->   int:




           """simple docstring"""

           super().setUp()

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

           _lowercase       :							Union[str, Any]      		=		os.path.join(self.tmpdirname,      VOCAB_FILES_NAMES['vocab_file'])
           _lowercase       :							Union[str, Any]      		=		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(lowerCamelCase) + '\n')
           with open(self.merges_file,      'w',      encoding='utf-8') as fp:
               fp.write('\n'.join(lowerCamelCase))
       def 			UpperCamelCase     (					self,      **lowerCamelCase)       ->   List[Any]:




           """simple docstring"""

           kwargs.update(self.special_tokens_map)
           return self.tokenizer_class.from_pretrained(self.tmpdirname,      **lowerCamelCase)
       def 			UpperCamelCase     (					self,      **lowerCamelCase)       ->   Any:




           """simple docstring"""

           kwargs.update(self.special_tokens_map)
           return RobertaTokenizerFast.from_pretrained(self.tmpdirname,      **lowerCamelCase)
       def 			UpperCamelCase     (					self,      lowerCamelCase)       ->   Union[str, Any]:




           """simple docstring"""

           _lowercase       :							int      		=		'lower newer'
           _lowercase       :							List[str]      		=		'lower newer'
           return input_text, output_text
       def 			UpperCamelCase     (					self)       ->   Optional[int]:




           """simple docstring"""

           _lowercase       :							Optional[int]      		=		self.tokenizer_class(self.vocab_file,      self.merges_file,      **self.special_tokens_map)
           _lowercase       :							Any      		=		'lower newer'
           _lowercase       :							Tuple      		=		['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
           _lowercase       :							Dict      		=		tokenizer.tokenize(lowerCamelCase)  # , add_prefix_space=True)
           self.assertListEqual(lowerCamelCase,      lowerCamelCase)

           _lowercase       :							List[str]      		=		tokens + [tokenizer.unk_token]
           _lowercase       :							Any      		=		[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase),      lowerCamelCase)
       def 			UpperCamelCase     (					self)       ->   Tuple:




           """simple docstring"""

           _lowercase       :							Any      		=		self.get_tokenizer()

           self.assertListEqual(tokenizer.encode('Hello world!',      add_special_tokens=lowerCamelCase),      [0, 3_14_14, 2_32, 3_28, 2])
           self.assertListEqual(
               tokenizer.encode('Hello world! cécé herlolip 418',      add_special_tokens=lowerCamelCase),      [0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2],      )
       @slow
       def 			UpperCamelCase     (					self)       ->   Dict:




           """simple docstring"""

           _lowercase       :							Any      		=		self.tokenizer_class.from_pretrained('roberta-base')

           _lowercase       :							Optional[int]      		=		tokenizer.encode('sequence builders',      add_special_tokens=lowerCamelCase)
           _lowercase       :							int      		=		tokenizer.encode('multi-sequence build',      add_special_tokens=lowerCamelCase)

           _lowercase       :							Optional[Any]      		=		tokenizer.encode(
               'sequence builders',      add_special_tokens=lowerCamelCase,      add_prefix_space=lowerCamelCase)
           _lowercase       :							int      		=		tokenizer.encode(
               'sequence builders',      'multi-sequence build',      add_special_tokens=lowerCamelCase,      add_prefix_space=lowerCamelCase)

           _lowercase       :							Union[str, Any]      		=		tokenizer.build_inputs_with_special_tokens(lowerCamelCase)
           _lowercase       :							str      		=		tokenizer.build_inputs_with_special_tokens(lowerCamelCase,      lowerCamelCase)

           assert encoded_sentence == encoded_text_from_decode
           assert encoded_pair == encoded_pair_from_decode
       def 			UpperCamelCase     (					self)       ->   Tuple:




           """simple docstring"""

           _lowercase       :							Any      		=		self.get_tokenizer()

           _lowercase       :							Any      		=		'Encode this sequence.'
           _lowercase       :							int      		=		tokenizer.byte_encoder[' '.encode('utf-8')[0]]

           # Testing encoder arguments
           _lowercase       :							Optional[int]      		=		tokenizer.encode(lowerCamelCase,      add_special_tokens=lowerCamelCase,      add_prefix_space=lowerCamelCase)
           _lowercase       :							Tuple      		=		tokenizer.convert_ids_to_tokens(encoded[0])[0]
           self.assertNotEqual(lowerCamelCase,      lowerCamelCase)

           _lowercase       :							Union[str, Any]      		=		tokenizer.encode(lowerCamelCase,      add_special_tokens=lowerCamelCase,      add_prefix_space=lowerCamelCase)
           _lowercase       :							Dict      		=		tokenizer.convert_ids_to_tokens(encoded[0])[0]
           self.assertEqual(lowerCamelCase,      lowerCamelCase)

           tokenizer.add_special_tokens({'bos_token': '<s>'})
           _lowercase       :							Dict      		=		tokenizer.encode(lowerCamelCase,      add_special_tokens=lowerCamelCase)
           _lowercase       :							Union[str, Any]      		=		tokenizer.convert_ids_to_tokens(encoded[1])[0]
           self.assertNotEqual(lowerCamelCase,      lowerCamelCase)

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

           _lowercase       :							str      		=		'Encode <mask> sequence'
           _lowercase       :							List[Any]      		=		'Encode <mask>sequence'

           _lowercase       :							Optional[Any]      		=		tokenizer.encode(lowerCamelCase)
           _lowercase       :							Tuple      		=		encoded.index(lowerCamelCase)
           _lowercase       :							Optional[int]      		=		tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
           self.assertEqual(lowerCamelCase,      lowerCamelCase)

           _lowercase       :							Tuple      		=		tokenizer.encode(lowerCamelCase)
           _lowercase       :							List[Any]      		=		encoded.index(lowerCamelCase)
           _lowercase       :							Optional[int]      		=		tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
           self.assertNotEqual(lowerCamelCase,      lowerCamelCase)
       def 			UpperCamelCase     (					self)       ->   Optional[int]:




           """simple docstring"""

           pass
       def 			UpperCamelCase     (					self)       ->   int:




           """simple docstring"""

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

                   # 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       :							List[str]      		=		tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids'])
                   _lowercase       :							List[str]      		=		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(
                       lowerCamelCase,      ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>'])
                   self.assertSequenceEqual(
                       lowerCamelCase,      ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>'])
       def 			UpperCamelCase     (					self)       ->   Union[str, Any]:




           """simple docstring"""

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

               _lowercase       :							int      		=		json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__())
               _lowercase       :							Tuple      		=		json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__())

               self.assertEqual(pre_tokenizer_state['add_prefix_space'],      lowerCamelCase)

               self.assertEqual(post_processor_state['add_prefix_space'],      lowerCamelCase)
               self.assertEqual(post_processor_state['trim_offsets'],      lowerCamelCase)




       def 			UpperCamelCase     (					self)       ->   List[Any]:




           """simple docstring"""

           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
                   _lowercase       :							Optional[int]      		=		'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                   _lowercase       :							List[Any]      		=		F'''{text_of_1_token} {text_of_1_token}'''

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

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

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

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

                   _lowercase       :							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)),
                   # )

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

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

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






from __future__ import annotations



def 				UpperCamelCase_(      lowerCamelCase_ )    ->						bool:
    if len(lowerCamelCase_ ) < 2:
        raise ValueError('Monogons and Digons are not polygons in the Euclidean space' )
    if any(i <= 0 for i in nums ):
        raise ValueError('All values must be greater than 0' )
    _lowercase       :							Tuple      		=		nums.copy()
    copy_nums.sort()
    return copy_nums[-1] < sum(copy_nums[:-1] )


if __name__ == "__main__":
 import doctest

 doctest.testmod()


