





'''simple docstring'''




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   A_	(  lowerCAmelCase_							,						unittest.TestCase			):
 _lowerCamelCase  : Optional[Any]           =							RobertaTokenizer
 _lowerCamelCase  : List[str]           =							RobertaTokenizerFast
 _lowerCamelCase  : Any           =							True
 _lowerCamelCase  : int           =							{"""cls_token""": """<s>"""}




 def      lowercase	(					self       :    List[Any]    ):
      super().setUp()

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

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




 def      lowercase	(					self       :    Optional[Any]	,			**snake_case_       :    Dict    ):
      kwargs.update(self.special_tokens_map    )
      return self.tokenizer_class.from_pretrained(self.tmpdirname	,			**snake_case_    )




 def      lowercase	(					self       :    Optional[int]	,			**snake_case_       :    Any    ):
      kwargs.update(self.special_tokens_map    )
      return RobertaTokenizerFast.from_pretrained(self.tmpdirname	,			**snake_case_    )




 def      lowercase	(					self       :    int	,			snake_case_       :    Dict    ):
      _UpperCAmelCase     							=   "lower newer"
      _UpperCAmelCase     							=   "lower newer"
      return input_text, output_text




 def      lowercase	(					self       :    Dict    ):
      _UpperCAmelCase     							=   self.tokenizer_class(self.vocab_file	,			self.merges_file	,			**self.special_tokens_map    )
      _UpperCAmelCase     							=   "lower newer"
      _UpperCAmelCase     							=   ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
      _UpperCAmelCase     							=   tokenizer.tokenize(snake_case_    )  # , add_prefix_space=True)
      self.assertListEqual(snake_case_	,			snake_case_    )

      _UpperCAmelCase     							=   tokens + [tokenizer.unk_token]
      _UpperCAmelCase     							=   [0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_    )	,			snake_case_    )




 def      lowercase	(					self       :    Tuple    ):
      _UpperCAmelCase     							=   self.get_tokenizer()

      self.assertListEqual(tokenizer.encode("Hello world!"	,			add_special_tokens=snake_case_    )	,			[0, 3_1_4_1_4, 2_3_2, 3_2_8, 2]    )
      self.assertListEqual(
          tokenizer.encode("Hello world! cécé herlolip 418"	,			add_special_tokens=snake_case_    )	,			[0, 3_1_4_1_4, 2_3_2, 3_2_8, 7_4_0, 1_1_4_0, 1_2_6_9_5, 6_9, 4_6_0_7_8, 1_5_8_8, 2]	,			)




 @slow
 def      lowercase	(					self       :    str    ):
      _UpperCAmelCase     							=   self.tokenizer_class.from_pretrained("roberta-base"    )

      _UpperCAmelCase     							=   tokenizer.encode("sequence builders"	,			add_special_tokens=snake_case_    )
      _UpperCAmelCase     							=   tokenizer.encode("multi-sequence build"	,			add_special_tokens=snake_case_    )

      _UpperCAmelCase     							=   tokenizer.encode(
          "sequence builders"	,			add_special_tokens=snake_case_	,			add_prefix_space=snake_case_    )
      _UpperCAmelCase     							=   tokenizer.encode(
          "sequence builders"	,			"multi-sequence build"	,			add_special_tokens=snake_case_	,			add_prefix_space=snake_case_    )

      _UpperCAmelCase     							=   tokenizer.build_inputs_with_special_tokens(snake_case_    )
      _UpperCAmelCase     							=   tokenizer.build_inputs_with_special_tokens(snake_case_	,			snake_case_    )

      assert encoded_sentence == encoded_text_from_decode
      assert encoded_pair == encoded_pair_from_decode




 def      lowercase	(					self       :    Optional[int]    ):
      _UpperCAmelCase     							=   self.get_tokenizer()

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

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

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

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

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

      _UpperCAmelCase     							=   "Encode <mask> sequence"
      _UpperCAmelCase     							=   "Encode <mask>sequence"

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

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




 def      lowercase	(					self       :    Dict    ):
      pass




 def      lowercase	(					self       :    Union[str, Any]    ):
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'    ):
                _UpperCAmelCase     							=   self.rust_tokenizer_class.from_pretrained(snake_case_	,			**snake_case_    )
                _UpperCAmelCase     							=   self.tokenizer_class.from_pretrained(snake_case_	,			**snake_case_    )
                _UpperCAmelCase     							=   "A, <mask> AllenNLP sentence."
                _UpperCAmelCase     							=   tokenizer_r.encode_plus(snake_case_	,			add_special_tokens=snake_case_	,			return_token_type_ids=snake_case_    )
                _UpperCAmelCase     							=   tokenizer_p.encode_plus(snake_case_	,			add_special_tokens=snake_case_	,			return_token_type_ids=snake_case_    )

                # 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"]    )	,			)

                _UpperCAmelCase     							=   tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]    )
                _UpperCAmelCase     							=   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_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]    )
                self.assertSequenceEqual(tokens_r["input_ids"]	,			[0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]    )

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




 def      lowercase	(					self       :    Dict    ):
      for trim_offsets, add_prefix_space in itertools.product([True, False]	,			repeat=2    ):
           _UpperCAmelCase     							=   self.rust_tokenizer_class.from_pretrained(
               self.tmpdirname	,			use_fast=snake_case_	,			add_prefix_space=snake_case_	,			trim_offsets=snake_case_    )

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

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

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




 def      lowercase	(					self       :    List[Any]    ):
      # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
      # `trim_offsets`
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'    ):
                _UpperCAmelCase     							=   "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
                _UpperCAmelCase     							=   f'{text_of_1_token} {text_of_1_token}'

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

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

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

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

                _UpperCAmelCase     							=   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)),
                # )

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

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

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











'''simple docstring'''




def 	UpperCAmelCase_							(					__lowercase							:      int       )		->       int:


     '''simple docstring'''



     if not isinstance(__lowercase			,     __lowercase       ) or number < 0:
          raise ValueError("Input must be a non-negative integer"       )

     _UpperCAmelCase     							=   0
     while number:
          # This way we arrive at next set bit (next 1) instead of looping
          # through each bit and checking for 1s hence the
          # loop won't run 32 times it will only run the number of `1` times
          number &= number - 1
          count += 1
     return count


if __name__ == "__main__":
  import doctest

  doctest.testmod()




