


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





     def  a_       (    self					:				Union[str, Any]							):
        super().setUp()

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

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





     def  a_       (    self					:				List[str]    ,	**SCREAMING_SNAKE_CASE_					:				Optional[Any]							):
        kwargs.update(self.special_tokens_map							)
        return self.tokenizer_class.from_pretrained(self.tmpdirname    ,	**SCREAMING_SNAKE_CASE_							)





     def  a_       (    self					:				List[Any]    ,	**SCREAMING_SNAKE_CASE_					:				Any							):
        kwargs.update(self.special_tokens_map							)
        return RobertaTokenizerFast.from_pretrained(self.tmpdirname    ,	**SCREAMING_SNAKE_CASE_							)





     def  a_       (    self					:				Union[str, Any]    ,	SCREAMING_SNAKE_CASE_					:				List[Any]							):
        __lowerCamelCase:				Union[str, Any]     =	"""lower newer"""
        __lowerCamelCase:				Optional[int]     =	"""lower newer"""
        return input_text, output_text





     def  a_       (    self					:				Optional[Any]							):
        __lowerCamelCase:				Any     =	self.tokenizer_class(self.vocab_file    ,	self.merges_file    ,	**self.special_tokens_map							)
        __lowerCamelCase:				int     =	"""lower newer"""
        __lowerCamelCase:				Union[str, Any]     =	["""l""", """o""", """w""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
        __lowerCamelCase:				List[Any]     =	tokenizer.tokenize(SCREAMING_SNAKE_CASE_							)  # , add_prefix_space=True)
        self.assertListEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				Dict     =	tokens + [tokenizer.unk_token]
        __lowerCamelCase:				List[str]     =	[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_							)    ,	SCREAMING_SNAKE_CASE_							)





     def  a_       (    self					:				int							):
        __lowerCamelCase:				int     =	self.get_tokenizer()

        self.assertListEqual(tokenizer.encode("""Hello world!"""    ,	add_special_tokens=SCREAMING_SNAKE_CASE_							)    ,	[0, 31414, 232, 328, 2]							)
        self.assertListEqual(
            tokenizer.encode("""Hello world! cécé herlolip 418"""    ,	add_special_tokens=SCREAMING_SNAKE_CASE_							)    ,	[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]    ,	)





     @slow
     def  a_       (    self					:				Tuple							):
        __lowerCamelCase:				Optional[int]     =	self.tokenizer_class.from_pretrained("""roberta-base"""							)

        __lowerCamelCase:				Optional[Any]     =	tokenizer.encode("""sequence builders"""    ,	add_special_tokens=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Any     =	tokenizer.encode("""multi-sequence build"""    ,	add_special_tokens=SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				int     =	tokenizer.encode(
            """sequence builders"""    ,	add_special_tokens=SCREAMING_SNAKE_CASE_    ,	add_prefix_space=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Union[str, Any]     =	tokenizer.encode(
            """sequence builders"""    ,	"""multi-sequence build"""    ,	add_special_tokens=SCREAMING_SNAKE_CASE_    ,	add_prefix_space=SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				int     =	tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				List[Any]     =	tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

        assert encoded_sentence == encoded_text_from_decode
        assert encoded_pair == encoded_pair_from_decode





     def  a_       (    self					:				Any							):
        __lowerCamelCase:				Any     =	self.get_tokenizer()

        __lowerCamelCase:				Optional[int]     =	"""Encode this sequence."""
        __lowerCamelCase:				int     =	tokenizer.byte_encoder[""" """.encode("""utf-8"""							)[0]]

        # Testing encoder arguments
        __lowerCamelCase:				Dict     =	tokenizer.encode(SCREAMING_SNAKE_CASE_    ,	add_special_tokens=SCREAMING_SNAKE_CASE_    ,	add_prefix_space=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Dict     =	tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
        self.assertNotEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				str     =	tokenizer.encode(SCREAMING_SNAKE_CASE_    ,	add_special_tokens=SCREAMING_SNAKE_CASE_    ,	add_prefix_space=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				List[str]     =	tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
        self.assertEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

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

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

        __lowerCamelCase:				Tuple     =	"""Encode <mask> sequence"""
        __lowerCamelCase:				str     =	"""Encode <mask>sequence"""

        __lowerCamelCase:				int     =	tokenizer.encode(SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Union[str, Any]     =	encoded.index(SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Tuple     =	tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
        self.assertEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				List[Any]     =	tokenizer.encode(SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Optional[Any]     =	encoded.index(SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Dict     =	tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
        self.assertNotEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)





     def  a_       (    self					:				Tuple							):
        pass





     def  a_       (    self					:				str							):
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'							):
              __lowerCamelCase:				Union[str, Any]     =	self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_    ,	**SCREAMING_SNAKE_CASE_							)
              __lowerCamelCase:				int     =	self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_    ,	**SCREAMING_SNAKE_CASE_							)
              __lowerCamelCase:				Optional[int]     =	"""A, <mask> AllenNLP sentence."""
              __lowerCamelCase:				Optional[int]     =	tokenizer_r.encode_plus(SCREAMING_SNAKE_CASE_    ,	add_special_tokens=SCREAMING_SNAKE_CASE_    ,	return_token_type_ids=SCREAMING_SNAKE_CASE_							)
              __lowerCamelCase:				Any     =	tokenizer_p.encode_plus(SCREAMING_SNAKE_CASE_    ,	add_special_tokens=SCREAMING_SNAKE_CASE_    ,	return_token_type_ids=SCREAMING_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"""]							)    ,	)

              __lowerCamelCase:				Any     =	tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""]							)
              __lowerCamelCase:				Optional[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, 50264, 3823, 487, 21992, 3645, 4, 2]							)
              self.assertSequenceEqual(tokens_r["""input_ids"""]    ,	[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]							)

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





     def  a_       (    self					:				Dict							):
        for trim_offsets, add_prefix_space in itertools.product([True, False]    ,	repeat=2							):
           __lowerCamelCase:				Union[str, Any]     =	self.rust_tokenizer_class.from_pretrained(
               self.tmpdirname    ,	use_fast=SCREAMING_SNAKE_CASE_    ,	add_prefix_space=SCREAMING_SNAKE_CASE_    ,	trim_offsets=SCREAMING_SNAKE_CASE_							)

           __lowerCamelCase:				int     =	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"""]    ,	SCREAMING_SNAKE_CASE_							)

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







     def  a_       (    self					:				str							):
        # 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})'							):
              __lowerCamelCase:				Union[str, Any]     =	"""hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
              __lowerCamelCase:				List[Any]     =	F'{text_of_1_token} {text_of_1_token}'

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

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

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

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

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

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

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






def     __lowerCAmelCase						(							snake_case	:    int = 1000000 )       ->							int:
   __lowerCamelCase:				Union[str, Any]     =	set(range(3						,      snake_case						,      2 ) )
   primes.add(2 )
   for p in range(3						,      snake_case						,      2 ):
      if p not in primes:
         continue
      primes.difference_update(set(range(p * p						,      snake_case						,      snake_case ) ) )

   __lowerCamelCase:				Any     =	[float(snake_case ) for n in range(limit + 1 )]

   for p in primes:
      for n in range(snake_case						,      limit + 1						,      snake_case ):
         phi[n] *= 1 - 1 / p

   return int(sum(phi[2:] ) )


if __name__ == "__main__":
   print(F"""{solution() = }""")


