





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  ):
      A_						:				Tuple							=    LongformerTokenizer
      A_						:				Any							=    True
      A_						:				Tuple							=    LongformerTokenizerFast
      A_						:				Dict							=    True


      def    a (self       :      Optional[int]      ):





         """simple docstring"""



         super().setUp()

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

         __snake_case							       =   os.path.join(self.tmpdirname				,			VOCAB_FILES_NAMES['''vocab_file''']      )
         __snake_case							       =   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       :      Dict				,			**a__       :      Optional[int]      ):





         """simple docstring"""



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


      def    a (self       :      Any				,			**a__       :      Optional[Any]      ):





         """simple docstring"""



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


      def    a (self       :      Optional[int]				,			a__       :      Dict      ):





         """simple docstring"""



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


      def    a (self       :      Optional[int]      ):





         """simple docstring"""



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

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


      def    a (self       :      Dict      ):





         """simple docstring"""



         __snake_case							       =   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    a (self       :      Any      ):





         """simple docstring"""



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

         __snake_case							       =   tokenizer.encode('''sequence builders'''				,			add_special_tokens=a__      )
         __snake_case							       =   tokenizer.encode('''multi-sequence build'''				,			add_special_tokens=a__      )

         __snake_case							       =   tokenizer.encode(
             '''sequence builders'''				,			add_special_tokens=a__				,			add_prefix_space=a__      )
         __snake_case							       =   tokenizer.encode(
             '''sequence builders'''				,			'''multi-sequence build'''				,			add_special_tokens=a__				,			add_prefix_space=a__      )

         __snake_case							       =   tokenizer.build_inputs_with_special_tokens(a__      )
         __snake_case							       =   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       :      Dict      ):





         """simple docstring"""



         __snake_case							       =   self.get_tokenizer()

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

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

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

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

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

         __snake_case							       =   '''Encode <mask> sequence'''
         __snake_case							       =   '''Encode <mask>sequence'''

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

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


      def    a (self       :      Tuple      ):





         """simple docstring"""



         pass


      def    a (self       :      str      ):





         """simple docstring"""



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

               __snake_case							       =   tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']      )
               __snake_case							       =   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    a (self       :      str      ):





         """simple docstring"""



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

            __snake_case							       =   json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()      )
            __snake_case							       =   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       :      Optional[int]      ):





         """simple docstring"""



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

               __snake_case							       =   self.rust_tokenizer_class.from_pretrained(
                   a__				,			use_fast=a__				,			add_prefix_space=a__				,			trim_offsets=a__      )
               __snake_case							       =   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__      ))				,			)

               __snake_case							       =   self.rust_tokenizer_class.from_pretrained(
                   a__				,			use_fast=a__				,			add_prefix_space=a__				,			trim_offsets=a__      )
               __snake_case							       =   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__      ))				,			)

               __snake_case							       =   self.rust_tokenizer_class.from_pretrained(
                   a__				,			use_fast=a__				,			add_prefix_space=a__				,			trim_offsets=a__      )
               __snake_case							       =   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__      ))				,			)

               __snake_case							       =   self.rust_tokenizer_class.from_pretrained(
                   a__				,			use_fast=a__				,			add_prefix_space=a__				,			trim_offsets=a__      )
               __snake_case							       =   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__      ))				,			)

               __snake_case							       =   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)),
               # )

               __snake_case							       =   self.rust_tokenizer_class.from_pretrained(
                   a__				,			use_fast=a__				,			add_prefix_space=a__				,			trim_offsets=a__      )
               __snake_case							       =   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__      ))				,			)

               __snake_case							       =   self.rust_tokenizer_class.from_pretrained(
                   a__				,			use_fast=a__				,			add_prefix_space=a__				,			trim_offsets=a__      )
               __snake_case							       =   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__      ))				,			)

               __snake_case							       =   self.rust_tokenizer_class.from_pretrained(
                   a__				,			use_fast=a__				,			add_prefix_space=a__				,			trim_offsets=a__      )
               __snake_case							       =   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__      ))				,			)


'''simple docstring'''





import os
from math import logaa





def 	lowerCAmelCase_				(					snake_case_       : str = "base_exp.txt"			)    ->      int:


     '''simple docstring'''




     UpperCAmelCase_           =   0
     UpperCAmelCase_           =   0
     for i, line in enumerate(open(os.path.join(os.path.dirname(snake_case_			)					,    snake_case_			)			)			):
          UpperCAmelCase_    , UpperCAmelCase_           =   list(map(snake_case_					,    line.split(","			)			)			)
          if x * logaa(snake_case_			) > largest:
               UpperCAmelCase_           =   x * logaa(snake_case_			)
               UpperCAmelCase_           =   i + 1
     return result


if __name__ == "__main__":
    print(solution())




