





'''simple docstring'''





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 			__A       (      lowerCamelCase__ ,unittest.TestCase  ):




      """simple docstring"""







      UpperCAmelCase__						=      LongformerTokenizer
      UpperCAmelCase__						=      True
      UpperCAmelCase__						=      LongformerTokenizerFast
      UpperCAmelCase__						=      True


      def 				__snake_case			(		self):



             """simple docstring"""





             super().setUp()

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

             _lowerCamelCase							:     List[Any]	=		os.path.join(self.tmpdirname      ,							VOCAB_FILES_NAMES['''vocab_file'''])
             _lowerCamelCase							:     Optional[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(a__) + '''\n''')
             with open(self.merges_file      ,							'''w'''      ,							encoding='''utf-8''') as fp:
                    fp.write('''\n'''.join(a__))


      def 				__snake_case			(		self      ,							**a__):



             """simple docstring"""





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


      def 				__snake_case			(		self      ,							**a__):



             """simple docstring"""





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


      def 				__snake_case			(		self      ,							a__):



             """simple docstring"""





             _lowerCamelCase							:     Any	=		'''lower newer'''
             _lowerCamelCase							:     Dict	=		'''lower newer'''
             return input_text, output_text


      def 				__snake_case			(		self):



             """simple docstring"""





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

             _lowerCamelCase							:     Union[str, Any]	=		tokens + [tokenizer.unk_token]
             _lowerCamelCase							:     List[str]	=		[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(a__)      ,							a__)


      def 				__snake_case			(		self):



             """simple docstring"""





             _lowerCamelCase							:     Dict	=		self.get_tokenizer()

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


      @slow
      def 				__snake_case			(		self):



             """simple docstring"""





             _lowerCamelCase							:     str	=		self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096''')

             _lowerCamelCase							:     Dict	=		tokenizer.encode('''sequence builders'''      ,							add_special_tokens=a__)
             _lowerCamelCase							:     List[str]	=		tokenizer.encode('''multi-sequence build'''      ,							add_special_tokens=a__)

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

             _lowerCamelCase							:     Any	=		tokenizer.build_inputs_with_special_tokens(a__)
             _lowerCamelCase							:     Union[str, Any]	=		tokenizer.build_inputs_with_special_tokens(a__      ,							a__)

             assert encoded_sentence == encoded_text_from_decode
             assert encoded_pair == encoded_pair_from_decode


      def 				__snake_case			(		self):



             """simple docstring"""





             _lowerCamelCase							:     str	=		self.get_tokenizer()

             _lowerCamelCase							:     List[str]	=		'''Encode this sequence.'''
             _lowerCamelCase							:     Optional[int]	=		tokenizer.byte_encoder[''' '''.encode('''utf-8''')[0]]

             # Testing encoder arguments
             _lowerCamelCase							:     List[Any]	=		tokenizer.encode(a__      ,							add_special_tokens=a__      ,							add_prefix_space=a__)
             _lowerCamelCase							:     Tuple	=		tokenizer.convert_ids_to_tokens(encoded[0])[0]
             self.assertNotEqual(a__      ,							a__)

             _lowerCamelCase							:     Dict	=		tokenizer.encode(a__      ,							add_special_tokens=a__      ,							add_prefix_space=a__)
             _lowerCamelCase							:     Dict	=		tokenizer.convert_ids_to_tokens(encoded[0])[0]
             self.assertEqual(a__      ,							a__)

             tokenizer.add_special_tokens({'''bos_token''': '''<s>'''})
             _lowerCamelCase							:     Optional[int]	=		tokenizer.encode(a__      ,							add_special_tokens=a__)
             _lowerCamelCase							:     List[str]	=		tokenizer.convert_ids_to_tokens(encoded[1])[0]
             self.assertNotEqual(a__      ,							a__)

             # Testing spaces after special tokens
             _lowerCamelCase							:     Dict	=		'''<mask>'''
             tokenizer.add_special_tokens(
                 {'''mask_token''': AddedToken(a__      ,							lstrip=a__      ,							rstrip=a__)})  # mask token has a left space
             _lowerCamelCase							:     Union[str, Any]	=		tokenizer.convert_tokens_to_ids(a__)

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

             _lowerCamelCase							:     str	=		tokenizer.encode(a__)
             _lowerCamelCase							:     str	=		encoded.index(a__)
             _lowerCamelCase							:     Union[str, Any]	=		tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
             self.assertEqual(a__      ,							a__)

             _lowerCamelCase							:     List[Any]	=		tokenizer.encode(a__)
             _lowerCamelCase							:     Union[str, Any]	=		encoded.index(a__)
             _lowerCamelCase							:     Tuple	=		tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
             self.assertNotEqual(a__      ,							a__)


      def 				__snake_case			(		self):



             """simple docstring"""





             pass


      def 				__snake_case			(		self):



             """simple docstring"""





             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                    with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
                           _lowerCamelCase							:     str	=		self.rust_tokenizer_class.from_pretrained(a__      ,							**a__)
                           _lowerCamelCase							:     int	=		self.tokenizer_class.from_pretrained(a__      ,							**a__)
                           _lowerCamelCase							:     List[str]	=		'''A, <mask> AllenNLP sentence.'''
                           _lowerCamelCase							:     int	=		tokenizer_r.encode_plus(a__      ,							add_special_tokens=a__      ,							return_token_type_ids=a__)
                           _lowerCamelCase							:     str	=		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							:     Union[str, Any]	=		tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids'''])
                           _lowerCamelCase							:     int	=		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(
                               a__      ,							['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>'''])
                           self.assertSequenceEqual(
                               a__      ,							['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>'''])


      def 				__snake_case			(		self):



             """simple docstring"""





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

                    _lowerCamelCase							:     Any	=		json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__())
                    _lowerCamelCase							:     Optional[Any]	=		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 				__snake_case			(		self):



             """simple docstring"""





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

                           _lowerCamelCase							:     Any	=		self.rust_tokenizer_class.from_pretrained(
                               a__      ,							use_fast=a__      ,							add_prefix_space=a__      ,							trim_offsets=a__)
                           _lowerCamelCase							:     Any	=		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							:     Optional[Any]	=		self.rust_tokenizer_class.from_pretrained(
                               a__      ,							use_fast=a__      ,							add_prefix_space=a__      ,							trim_offsets=a__)
                           _lowerCamelCase							:     Any	=		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							:     Any	=		self.rust_tokenizer_class.from_pretrained(
                               a__      ,							use_fast=a__      ,							add_prefix_space=a__      ,							trim_offsets=a__)
                           _lowerCamelCase							:     Dict	=		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							:     Union[str, Any]	=		self.rust_tokenizer_class.from_pretrained(
                               a__      ,							use_fast=a__      ,							add_prefix_space=a__      ,							trim_offsets=a__)
                           _lowerCamelCase							:     Union[str, Any]	=		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							:     Union[str, 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)),
                           # )

                           _lowerCamelCase							:     str	=		self.rust_tokenizer_class.from_pretrained(
                               a__      ,							use_fast=a__      ,							add_prefix_space=a__      ,							trim_offsets=a__)
                           _lowerCamelCase							:     str	=		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							:     List[str]	=		self.rust_tokenizer_class.from_pretrained(
                               a__      ,							use_fast=a__      ,							add_prefix_space=a__      ,							trim_offsets=a__)
                           _lowerCamelCase							:     Tuple	=		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							:     Optional[int]	=		self.rust_tokenizer_class.from_pretrained(
                               a__      ,							use_fast=a__      ,							add_prefix_space=a__      ,							trim_offsets=a__)
                           _lowerCamelCase							:     List[Any]	=		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__))      ,							)








def    __UpperCAmelCase(      lowercase_      ):
       # if the collection is empty, returns empty
       if collection == []:
              return []

       # get some information about the collection
       _lowerCamelCase							:     Tuple	=		len(lowercase_      )
       _lowerCamelCase							:     List[str]	=		max(lowercase_      )
       _lowerCamelCase							:     Any	=		min(lowercase_      )

       # create the counting array
       _lowerCamelCase							:     str	=		coll_max + 1 - coll_min
       _lowerCamelCase							:     Union[str, Any]	=		[0] * counting_arr_length

       # count how much a number appears in the collection
       for number in collection:
              counting_arr[number - coll_min] += 1

       # sum each position with it's predecessors. now, counting_arr[i] tells
       # us how many elements <= i has in the collection
       for i in range(1 ,    lowercase_      ):
              _lowerCamelCase							:     Union[str, Any]	=		counting_arr[i] + counting_arr[i - 1]

       # create the output collection
       _lowerCamelCase							:     Dict	=		[0] * coll_len

       # place the elements in the output, respecting the original order (stable
       # sort) from end to begin, updating counting_arr
       for i in reversed(range(0 ,    lowercase_      )      ):
              _lowerCamelCase							:     Union[str, Any]	=		collection[i]
              counting_arr[collection[i] - coll_min] -= 1

       return ordered




def    __UpperCAmelCase(      lowercase_      ):
       return "".join([chr(lowercase_      ) for i in counting_sort([ord(lowercase_      ) for c in string]      )]      )


if __name__ == "__main__":
       # Test string sort
       assert counting_sort_string('thisisthestring') == "eghhiiinrsssttt"

       _lowerCamelCase			       =      input('Enter numbers separated by a comma:\n').strip()
       _lowerCamelCase			       =      [int(item) for item in user_input.split(',')]
       print(counting_sort(unsorted))

