
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      _UpperCAmelCase							(		snake_case_     ,			unittest.TestCase							):
      __SCREAMING_SNAKE_CASE   :							int							      =	RobertaTokenizer
      __SCREAMING_SNAKE_CASE   :							Optional[int]							      =	RobertaTokenizerFast
      __SCREAMING_SNAKE_CASE   :							Optional[int]							      =	True
      __SCREAMING_SNAKE_CASE   :							Optional[Any]							      =	{"""cls_token""": """<s>"""}




      def     a_      (							self							)						->					Tuple:
          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(lowercase_   ,       range(len(lowercase_							)							)							)							)
          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(lowercase_							) + '\n'							)
          with open(self.merges_file   ,       'w'   ,       encoding='utf-8'							) as fp:
              fp.write('\n'.join(lowercase_							)							)




      def     a_      (							self   ,       **lowercase_							)						->					Optional[Any]:
          kwargs.update(self.special_tokens_map							)
          return self.tokenizer_class.from_pretrained(self.tmpdirname   ,       **lowercase_							)




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




      def     a_      (							self   ,       lowercase_							)						->					List[Any]:
          UpperCAmelCase									=					'lower newer'
          UpperCAmelCase									=					'lower newer'
          return input_text, output_text




      def     a_      (							self							)						->					Union[str, Any]:
          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(lowercase_							)  # , add_prefix_space=True)
          self.assertListEqual(lowercase_   ,       lowercase_							)

          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(lowercase_							)   ,       lowercase_							)




      def     a_      (							self							)						->					Dict:
          UpperCAmelCase									=					self.get_tokenizer()

          self.assertListEqual(tokenizer.encode('Hello world!'   ,       add_special_tokens=lowercase_							)   ,       [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=lowercase_							)   ,       [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     a_      (							self							)						->					List[Any]:
          UpperCAmelCase									=					self.tokenizer_class.from_pretrained('roberta-base'							)

          UpperCAmelCase									=					tokenizer.encode('sequence builders'   ,       add_special_tokens=lowercase_							)
          UpperCAmelCase									=					tokenizer.encode('multi-sequence build'   ,       add_special_tokens=lowercase_							)

          UpperCAmelCase									=					tokenizer.encode(
              'sequence builders'   ,       add_special_tokens=lowercase_   ,       add_prefix_space=lowercase_							)
          UpperCAmelCase									=					tokenizer.encode(
              'sequence builders'   ,       'multi-sequence build'   ,       add_special_tokens=lowercase_   ,       add_prefix_space=lowercase_							)

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

          assert encoded_sentence == encoded_text_from_decode
          assert encoded_pair == encoded_pair_from_decode




      def     a_      (							self							)						->					Optional[Any]:
          UpperCAmelCase									=					self.get_tokenizer()

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

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

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

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

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

          UpperCAmelCase									=					'Encode <mask> sequence'
          UpperCAmelCase									=					'Encode <mask>sequence'

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

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




      def     a_      (							self							)						->					int:
          pass




      def     a_      (							self							)						->					int:
          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(lowercase_   ,       **lowercase_							)
                  UpperCAmelCase									=					self.tokenizer_class.from_pretrained(lowercase_   ,       **lowercase_							)
                  UpperCAmelCase									=					'A, <mask> AllenNLP sentence.'
                  UpperCAmelCase									=					tokenizer_r.encode_plus(lowercase_   ,       add_special_tokens=lowercase_   ,       return_token_type_ids=lowercase_							)
                  UpperCAmelCase									=					tokenizer_p.encode_plus(lowercase_   ,       add_special_tokens=lowercase_   ,       return_token_type_ids=lowercase_							)

                  # 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(
                      lowercase_   ,       ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']							)
                  self.assertSequenceEqual(
                      lowercase_   ,       ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']							)




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

              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']   ,       lowercase_							)

              self.assertEqual(post_processor_state['add_prefix_space']   ,       lowercase_							)
              self.assertEqual(post_processor_state['trim_offsets']   ,       lowercase_							)




      def     a_      (							self							)						->					Tuple:
          # 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(
                      lowercase_   ,       use_fast=lowercase_   ,       add_prefix_space=lowercase_   ,       trim_offsets=lowercase_							)
                  UpperCAmelCase									=					tokenizer_r(lowercase_   ,       return_offsets_mapping=lowercase_   ,       add_special_tokens=lowercase_							)
                  self.assertEqual(encoding.offset_mapping[0]   ,       (0, len(lowercase_							))							)
                  self.assertEqual(
                      encoding.offset_mapping[1]   ,       (len(lowercase_							) + 1, len(lowercase_							) + 1 + len(lowercase_							))   ,       )

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

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

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

                  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(
                      lowercase_   ,       use_fast=lowercase_   ,       add_prefix_space=lowercase_   ,       trim_offsets=lowercase_							)
                  UpperCAmelCase									=					tokenizer_r(lowercase_   ,       return_offsets_mapping=lowercase_   ,       add_special_tokens=lowercase_							)
                  self.assertEqual(encoding.offset_mapping[0]   ,       (1, 1 + len(lowercase_							))							)
                  self.assertEqual(
                      encoding.offset_mapping[1]   ,       (1 + len(lowercase_							) + 1, 1 + len(lowercase_							) + 1 + len(lowercase_							))   ,       )

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

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





"""simple docstring"""

from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
SCREAMING_SNAKE_CASE_    					=						Lock()




def     lowercase__						(					lowerCAmelCase				:					Dict ,				lowerCAmelCase				:					Dict ,				lowerCAmelCase				:					Union[str, Any] ,				lowerCAmelCase				:					Optional[Any] ,				lowerCAmelCase				:					str ,				lowerCAmelCase				:					Optional[int] ,				lowerCAmelCase				:					Optional[Any] ) ->      Optional[int]:






    """simple docstring"""




    global process_lock

    # we perform n swaps since after n swaps we know we are sorted
    # we *could* stop early if we are sorted already, but it takes as long to
    # find out we are sorted as it does to sort the list with this algorithm
    for i in range(0 ,				10 ):
        if (i + position) % 2 == 0 and r_send is not None:
            # send your value to your right neighbor
            process_lock.acquire()
            r_send[1].send(lowerCAmelCase )
            process_lock.release()

            # receive your right neighbor's value
            process_lock.acquire()
            UpperCAmelCase									=					rr_cv[0].recv()
            process_lock.release()

            # take the lower value since you are on the left
            UpperCAmelCase									=					min(lowerCAmelCase ,				lowerCAmelCase )
        elif (i + position) % 2 != 0 and l_send is not None:
            # send your value to your left neighbor
            process_lock.acquire()
            l_send[1].send(lowerCAmelCase )
            process_lock.release()

            # receive your left neighbor's value
            process_lock.acquire()
            UpperCAmelCase									=					lr_cv[0].recv()
            process_lock.release()

            # take the higher value since you are on the right
            UpperCAmelCase									=					max(lowerCAmelCase ,				lowerCAmelCase )
    # after all swaps are performed, send the values back to main
    result_pipe[1].send(lowerCAmelCase )




def     lowercase__						(					lowerCAmelCase				:					Union[str, Any] ) ->      List[str]:






    """simple docstring"""




    UpperCAmelCase									=					[]
    UpperCAmelCase									=					[]
    # initialize the list of pipes where the values will be retrieved
    for _ in arr:
        result_pipe.append(Pipe() )
    # creates the processes
    # the first and last process only have one neighbor so they are made outside
    # of the loop
    UpperCAmelCase									=					Pipe()
    UpperCAmelCase									=					Pipe()
    process_array_.append(
        Process(
            target=lowerCAmelCase ,				args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0]) ,				) )
    UpperCAmelCase									=					temp_rs
    UpperCAmelCase									=					temp_rr

    for i in range(1 ,				len(lowerCAmelCase ) - 1 ):
        UpperCAmelCase									=					Pipe()
        UpperCAmelCase									=					Pipe()
        process_array_.append(
            Process(
                target=lowerCAmelCase ,				args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i]) ,				) )
        UpperCAmelCase									=					temp_rs
        UpperCAmelCase									=					temp_rr

    process_array_.append(
        Process(
            target=lowerCAmelCase ,				args=(
                len(lowerCAmelCase ) - 1,
                arr[len(lowerCAmelCase ) - 1],
                temp_ls,
                None,
                temp_lr,
                None,
                result_pipe[len(lowerCAmelCase ) - 1],
            ) ,				) )

    # start the processes
    for p in process_array_:
        p.start()

    # wait for the processes to end and write their values to the list
    for p in range(0 ,				len(lowerCAmelCase ) ):
        UpperCAmelCase									=					result_pipe[p][0].recv()
        process_array_[p].join()
    return arr




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






    """simple docstring"""




    UpperCAmelCase									=					list(range(10 ,				0 ,				-1 ) )
    print('Initial List' )
    print(*lowerCAmelCase )
    UpperCAmelCase									=					odd_even_transposition(lowerCAmelCase )
    print('Sorted List\n' )
    print(*lowerCAmelCase )


if __name__ == "__main__":
   main()



