


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   __lowercase				(  __snake_case ,					unittest.TestCase  ):
      UpperCamelCase								=       RobertaTokenizer
      UpperCamelCase								=       RobertaTokenizerFast
      UpperCamelCase								=       True
      UpperCamelCase								=       {'''cls_token''': '''<s>'''}





      def        _lowercase				(		self						:					Optional[Any]       )    ->   Dict:






         """simple docstring"""







         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(__lowerCamelCase					,       range(len(__lowerCamelCase       )       )       )       )
         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(__lowerCamelCase       ) + """\n"""       )
         with open(self.merges_file					,       """w"""					,       encoding="""utf-8"""       ) as fp:
            fp.write("""\n""".join(__lowerCamelCase       )       )





      def        _lowercase				(		self						:					List[str]					,       **__lowerCamelCase						:					Any       )    ->   Dict:






         """simple docstring"""







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





      def        _lowercase				(		self						:					int					,       **__lowerCamelCase						:					Any       )    ->   List[Any]:






         """simple docstring"""







         kwargs.update(self.special_tokens_map       )
         return RobertaTokenizerFast.from_pretrained(self.tmpdirname					,       **__lowerCamelCase       )





      def        _lowercase				(		self						:					Tuple					,       __lowerCamelCase						:					Optional[Any]       )    ->   Optional[int]:






         """simple docstring"""







         UpperCAmelCase							=     """lower newer"""
         UpperCAmelCase							=     """lower newer"""
         return input_text, output_text





      def        _lowercase				(		self						:					str       )    ->   List[Any]:






         """simple docstring"""







         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(__lowerCamelCase       )  # , add_prefix_space=True)
         self.assertListEqual(__lowerCamelCase					,       __lowerCamelCase       )

         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(__lowerCamelCase       )					,       __lowerCamelCase       )





      def        _lowercase				(		self						:					Any       )    ->   Union[str, Any]:






         """simple docstring"""







         UpperCAmelCase							=     self.get_tokenizer()

         self.assertListEqual(tokenizer.encode("""Hello world!"""					,       add_special_tokens=__lowerCamelCase       )					,       [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=__lowerCamelCase       )					,       [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						:					Union[str, Any]       )    ->   Any:






         """simple docstring"""







         UpperCAmelCase							=     self.tokenizer_class.from_pretrained("""roberta-base"""       )

         UpperCAmelCase							=     tokenizer.encode("""sequence builders"""					,       add_special_tokens=__lowerCamelCase       )
         UpperCAmelCase							=     tokenizer.encode("""multi-sequence build"""					,       add_special_tokens=__lowerCamelCase       )

         UpperCAmelCase							=     tokenizer.encode(
             """sequence builders"""					,       add_special_tokens=__lowerCamelCase					,       add_prefix_space=__lowerCamelCase       )
         UpperCAmelCase							=     tokenizer.encode(
             """sequence builders"""					,       """multi-sequence build"""					,       add_special_tokens=__lowerCamelCase					,       add_prefix_space=__lowerCamelCase       )

         UpperCAmelCase							=     tokenizer.build_inputs_with_special_tokens(__lowerCamelCase       )
         UpperCAmelCase							=     tokenizer.build_inputs_with_special_tokens(__lowerCamelCase					,       __lowerCamelCase       )

         assert encoded_sentence == encoded_text_from_decode
         assert encoded_pair == encoded_pair_from_decode





      def        _lowercase				(		self						:					Dict       )    ->   int:






         """simple docstring"""







         UpperCAmelCase							=     self.get_tokenizer()

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

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

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

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

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

         UpperCAmelCase							=     """Encode <mask> sequence"""
         UpperCAmelCase							=     """Encode <mask>sequence"""

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

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





      def        _lowercase				(		self						:					str       )    ->   Union[str, Any]:






         """simple docstring"""







         pass





      def        _lowercase				(		self						:					List[str]       )    ->   Dict:






         """simple docstring"""







         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(__lowerCamelCase					,       **__lowerCamelCase       )
               UpperCAmelCase							=     self.tokenizer_class.from_pretrained(__lowerCamelCase					,       **__lowerCamelCase       )
               UpperCAmelCase							=     """A, <mask> AllenNLP sentence."""
               UpperCAmelCase							=     tokenizer_r.encode_plus(__lowerCamelCase					,       add_special_tokens=__lowerCamelCase					,       return_token_type_ids=__lowerCamelCase       )
               UpperCAmelCase							=     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"""]       )					,       )

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





      def        _lowercase				(		self						:					Optional[int]       )    ->   Optional[int]:






         """simple docstring"""







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

            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"""]					,       __lowerCamelCase       )

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





      def        _lowercase				(		self						:					Union[str, Any]       )    ->   Dict:






         """simple docstring"""







         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(
                   __lowerCamelCase					,       use_fast=__lowerCamelCase					,       add_prefix_space=__lowerCamelCase					,       trim_offsets=__lowerCamelCase       )
               UpperCAmelCase							=     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       ))					,       )

               UpperCAmelCase							=     self.rust_tokenizer_class.from_pretrained(
                   __lowerCamelCase					,       use_fast=__lowerCamelCase					,       add_prefix_space=__lowerCamelCase					,       trim_offsets=__lowerCamelCase       )
               UpperCAmelCase							=     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       ))					,       )

               UpperCAmelCase							=     self.rust_tokenizer_class.from_pretrained(
                   __lowerCamelCase					,       use_fast=__lowerCamelCase					,       add_prefix_space=__lowerCamelCase					,       trim_offsets=__lowerCamelCase       )
               UpperCAmelCase							=     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       ))					,       )

               UpperCAmelCase							=     self.rust_tokenizer_class.from_pretrained(
                   __lowerCamelCase					,       use_fast=__lowerCamelCase					,       add_prefix_space=__lowerCamelCase					,       trim_offsets=__lowerCamelCase       )
               UpperCAmelCase							=     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       ))					,       )

               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(
                   __lowerCamelCase					,       use_fast=__lowerCamelCase					,       add_prefix_space=__lowerCamelCase					,       trim_offsets=__lowerCamelCase       )
               UpperCAmelCase							=     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       ))					,       )

               UpperCAmelCase							=     self.rust_tokenizer_class.from_pretrained(
                   __lowerCamelCase					,       use_fast=__lowerCamelCase					,       add_prefix_space=__lowerCamelCase					,       trim_offsets=__lowerCamelCase       )
               UpperCAmelCase							=     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       ))					,       )

               UpperCAmelCase							=     self.rust_tokenizer_class.from_pretrained(
                   __lowerCamelCase					,       use_fast=__lowerCamelCase					,       add_prefix_space=__lowerCamelCase					,       trim_offsets=__lowerCamelCase       )
               UpperCAmelCase							=     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_   )						->None:
   create_state_space_tree(lowerCAmelCase_  ,						[]  ,						0  ,						[0 for i in range(len(lowerCAmelCase_   )   )]   )
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						)						->None:

   if index == len(lowerCAmelCase_   ):
      print(lowerCAmelCase_   )
      return

   for i in range(len(lowerCAmelCase_   )   ):
      if not index_used[i]:
         current_sequence.append(sequence[i]   )
         UpperCAmelCase							=     True
         create_state_space_tree(lowerCAmelCase_  ,						lowerCAmelCase_  ,						index + 1  ,						lowerCAmelCase_   )
         current_sequence.pop()
         UpperCAmelCase							=     False
__a     =			[3, 1, 2, 4]
generate_all_permutations(sequence)

__a     =			["A", "B", "C"]







generate_all_permutations(sequence_a)



