
"""simple docstring"""

import json
import os
import unittest

from transformers import AutoTokenizer, GPTaTokenizer, GPTaTokenizerFast
from transformers.models.gpta.tokenization_gpta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_     ,			unittest.TestCase							):
      __SCREAMING_SNAKE_CASE   :							Optional[int]							      =	GPTaTokenizer
      __SCREAMING_SNAKE_CASE   :							List[str]							      =	GPTaTokenizerFast
      __SCREAMING_SNAKE_CASE   :							Optional[int]							      =	True
      __SCREAMING_SNAKE_CASE   :							Any							      =	{"add_prefix_space": True}
      __SCREAMING_SNAKE_CASE   :							Any							      =	False




      def     a_      (							self							)						->					Optional[int]:
          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>',
              '<|endoftext|>',
          ]
          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_							)						->					List[str]:
          kwargs.update(self.special_tokens_map							)
          return GPTaTokenizer.from_pretrained(self.tmpdirname   ,       **lowercase_							)




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




      def     a_      (							self   ,       lowercase_							)						->					int:
          UpperCAmelCase									=					'lower newer'
          UpperCAmelCase									=					'lower newer'
          return input_text, output_text




      def     a_      (							self							)						->					Optional[int]:
          UpperCAmelCase									=					GPTaTokenizer(self.vocab_file   ,       self.merges_file   ,       **self.special_tokens_map							)
          UpperCAmelCase									=					'lower newer'
          UpperCAmelCase									=					['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
          UpperCAmelCase									=					tokenizer.tokenize(lowercase_   ,       add_prefix_space=lowercase_							)
          self.assertListEqual(lowercase_   ,       lowercase_							)

          UpperCAmelCase									=					tokens + [tokenizer.unk_token]
          UpperCAmelCase									=					[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_							)   ,       lowercase_							)




      def     a_      (							self							)						->					int:
          if not self.test_rust_tokenizer:
              return

          UpperCAmelCase									=					self.get_tokenizer()
          UpperCAmelCase									=					self.get_rust_tokenizer(add_prefix_space=lowercase_							)

          UpperCAmelCase									=					'lower newer'

          # Testing tokenization
          UpperCAmelCase									=					tokenizer.tokenize(lowercase_   ,       add_prefix_space=lowercase_							)
          UpperCAmelCase									=					rust_tokenizer.tokenize(lowercase_							)
          self.assertListEqual(lowercase_   ,       lowercase_							)

          # Testing conversion to ids without special tokens
          UpperCAmelCase									=					tokenizer.encode(lowercase_   ,       add_special_tokens=lowercase_   ,       add_prefix_space=lowercase_							)
          UpperCAmelCase									=					rust_tokenizer.encode(lowercase_   ,       add_special_tokens=lowercase_							)
          self.assertListEqual(lowercase_   ,       lowercase_							)

          # Testing conversion to ids with special tokens
          UpperCAmelCase									=					self.get_rust_tokenizer(add_prefix_space=lowercase_							)
          UpperCAmelCase									=					tokenizer.encode(lowercase_   ,       add_prefix_space=lowercase_							)
          UpperCAmelCase									=					rust_tokenizer.encode(lowercase_							)
          self.assertListEqual(lowercase_   ,       lowercase_							)

          # Testing the unknown token
          UpperCAmelCase									=					tokens + [rust_tokenizer.unk_token]
          UpperCAmelCase									=					[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
          self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(lowercase_							)   ,       lowercase_							)




      def     a_      (							self   ,       *lowercase_   ,       **lowercase_							)						->					int:
          # It's very difficult to mix/test pretokenization with byte-level
          # And get both GPT2 and Roberta to work at the same time (mostly an issue of adding a space before the string)
          pass




      def     a_      (							self   ,       lowercase_=1_5							)						->					Optional[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(lowercase_   ,       **lowercase_							)

                  # Simple input
                  UpperCAmelCase									=					'This is a simple input'
                  UpperCAmelCase									=					['This is a simple input 1', 'This is a simple input 2']
                  UpperCAmelCase									=					('This is a simple input', 'This is a pair')
                  UpperCAmelCase									=					[
                      ('This is a simple input 1', 'This is a simple input 2'),
                      ('This is a simple pair 1', 'This is a simple pair 2'),
                  ]

                  # Simple input tests
                  self.assertRaises(lowercase_   ,       tokenizer_r.encode   ,       lowercase_   ,       max_length=lowercase_   ,       padding='max_length'							)

                  # Simple input
                  self.assertRaises(lowercase_   ,       tokenizer_r.encode_plus   ,       lowercase_   ,       max_length=lowercase_   ,       padding='max_length'							)

                  # Simple input
                  self.assertRaises(
                      lowercase_   ,       tokenizer_r.batch_encode_plus   ,       lowercase_   ,       max_length=lowercase_   ,       padding='max_length'   ,       )

                  # Pair input
                  self.assertRaises(lowercase_   ,       tokenizer_r.encode   ,       lowercase_   ,       max_length=lowercase_   ,       padding='max_length'							)

                  # Pair input
                  self.assertRaises(lowercase_   ,       tokenizer_r.encode_plus   ,       lowercase_   ,       max_length=lowercase_   ,       padding='max_length'							)

                  # Pair input
                  self.assertRaises(
                      lowercase_   ,       tokenizer_r.batch_encode_plus   ,       lowercase_   ,       max_length=lowercase_   ,       padding='max_length'   ,       )




      def     a_      (							self							)						->					List[str]:
          UpperCAmelCase									=					GPTaTokenizer.from_pretrained(self.tmpdirname   ,       pad_token='<pad>'							)

          # Simple input
          UpperCAmelCase									=					'This is a simple input'
          UpperCAmelCase									=					['This is a simple input looooooooong', 'This is a simple input']
          UpperCAmelCase									=					('This is a simple input', 'This is a pair')
          UpperCAmelCase									=					[
              ('This is a simple input loooooong', 'This is a simple input'),
              ('This is a simple pair loooooong', 'This is a simple pair'),
          ]

          UpperCAmelCase									=					tokenizer.pad_token_id

          UpperCAmelCase									=					tokenizer(lowercase_   ,       padding='max_length'   ,       max_length=3_0   ,       return_tensors='np'							)
          UpperCAmelCase									=					tokenizer(lowercase_   ,       padding=lowercase_   ,       truncate=lowercase_   ,       return_tensors='np'							)
          UpperCAmelCase									=					tokenizer(*lowercase_   ,       padding='max_length'   ,       max_length=6_0   ,       return_tensors='np'							)
          UpperCAmelCase									=					tokenizer(lowercase_   ,       padding=lowercase_   ,       truncate=lowercase_   ,       return_tensors='np'							)

          # s
          # test single string max_length padding
          self.assertEqual(out_s['input_ids'].shape[-1]   ,       3_0							)
          self.assertTrue(pad_token_id in out_s['input_ids']							)
          self.assertTrue(0 in out_s['attention_mask']							)

          # s2
          # test automatic padding
          self.assertEqual(out_sa['input_ids'].shape[-1]   ,       3_3							)
          # long slice doesn't have padding
          self.assertFalse(pad_token_id in out_sa['input_ids'][0]							)
          self.assertFalse(0 in out_sa['attention_mask'][0]							)
          # short slice does have padding
          self.assertTrue(pad_token_id in out_sa['input_ids'][1]							)
          self.assertTrue(0 in out_sa['attention_mask'][1]							)

          # p
          # test single pair max_length padding
          self.assertEqual(out_p['input_ids'].shape[-1]   ,       6_0							)
          self.assertTrue(pad_token_id in out_p['input_ids']							)
          self.assertTrue(0 in out_p['attention_mask']							)

          # p2
          # test automatic padding pair
          self.assertEqual(out_pa['input_ids'].shape[-1]   ,       5_2							)
          # long slice pair doesn't have padding
          self.assertFalse(pad_token_id in out_pa['input_ids'][0]							)
          self.assertFalse(0 in out_pa['attention_mask'][0]							)
          # short slice pair does have padding
          self.assertTrue(pad_token_id in out_pa['input_ids'][1]							)
          self.assertTrue(0 in out_pa['attention_mask'][1]							)




      def     a_      (							self							)						->					str:
          UpperCAmelCase									=					'$$$'
          UpperCAmelCase									=					GPTaTokenizer.from_pretrained(self.tmpdirname   ,       bos_token=lowercase_   ,       add_bos_token=lowercase_							)

          UpperCAmelCase									=					'This is a simple input'
          UpperCAmelCase									=					['This is a simple input 1', 'This is a simple input 2']

          UpperCAmelCase									=					tokenizer.bos_token_id

          UpperCAmelCase									=					tokenizer(lowercase_							)
          UpperCAmelCase									=					tokenizer(lowercase_							)

          self.assertEqual(out_s.input_ids[0]   ,       lowercase_							)
          self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids							)							)

          UpperCAmelCase									=					tokenizer.decode(out_s.input_ids							)
          UpperCAmelCase									=					tokenizer.batch_decode(out_sa.input_ids							)

          self.assertEqual(decode_s.split()[0]   ,       lowercase_							)
          self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa							)							)




      def     a_      (							self							)						->					Optional[Any]:
          pass




      def     a_      (							self							)						->					Tuple:
          # TODO: change to self.get_tokenizers() when the fast version is implemented
          UpperCAmelCase									=					[self.get_tokenizer(do_lower_case=lowercase_   ,       add_bos_token=lowercase_							)]
          for tokenizer in tokenizers:
              with self.subTest(F"{tokenizer.__class__.__name__}"							):
                  UpperCAmelCase									=					'Encode this.'
                  UpperCAmelCase									=					'This one too please.'
                  UpperCAmelCase									=					tokenizer.encode(lowercase_   ,       add_special_tokens=lowercase_							)
                  encoded_sequence += tokenizer.encode(lowercase_   ,       add_special_tokens=lowercase_							)
                  UpperCAmelCase									=					tokenizer.encode_plus(
                      lowercase_   ,       lowercase_   ,       add_special_tokens=lowercase_   ,       return_special_tokens_mask=lowercase_   ,       )
                  UpperCAmelCase									=					encoded_sequence_dict['input_ids']
                  UpperCAmelCase									=					encoded_sequence_dict['special_tokens_mask']
                  self.assertEqual(len(lowercase_							)   ,       len(lowercase_							)							)

                  UpperCAmelCase									=					[
                      (x if not special_tokens_mask[i] else None) for i, x in enumerate(lowercase_							)
                  ]
                  UpperCAmelCase									=					[x for x in filtered_sequence if x is not None]
                  self.assertEqual(lowercase_   ,       lowercase_							)

@require_tokenizers
class      _UpperCAmelCase							(		unittest.TestCase							):




      def     a_      (							self							)						->					Tuple:
          # More context:
          # https://huggingface.co/wjmcat/opt-350m-paddle/discussions/1
          # https://huggingface.slack.com/archives/C01N44FJDHT/p1653511495183519
          # https://github.com/huggingface/transformers/pull/17088#discussion_r871246439

          UpperCAmelCase									=					AutoTokenizer.from_pretrained('facebook/opt-350m'   ,       from_slow=lowercase_							)
          UpperCAmelCase									=					'A photo of a cat'

          UpperCAmelCase									=					tokenizer.encode(
              lowercase_   ,       )
          self.assertEqual(lowercase_   ,       [2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]							)
          tokenizer.save_pretrained('test_opt'							)

          UpperCAmelCase									=					AutoTokenizer.from_pretrained('./test_opt'							)
          UpperCAmelCase									=					tokenizer.encode(
              lowercase_   ,       )
          self.assertEqual(lowercase_   ,       [2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]							)




      def     a_      (							self							)						->					Union[str, Any]:
          UpperCAmelCase									=					AutoTokenizer.from_pretrained('facebook/opt-350m'   ,       use_slow=lowercase_							)
          UpperCAmelCase									=					'A photo of a cat'

          UpperCAmelCase									=					tokenizer.encode(
              lowercase_   ,       )
          # Same as above
          self.assertEqual(lowercase_   ,       [2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]							)




      @unittest.skip('This test is failing because of a bug in the fast tokenizer'							)
      def     a_      (							self							)						->					Optional[int]:
          UpperCAmelCase									=					AutoTokenizer.from_pretrained('facebook/opt-350m'   ,       from_slow=lowercase_							)

          UpperCAmelCase									=					'bos'
          UpperCAmelCase									=					tokenizer.get_vocab()['bos']

          UpperCAmelCase									=					'A photo of a cat'
          UpperCAmelCase									=					tokenizer.encode(
              lowercase_   ,       )
          # We changed the bos token
          self.assertEqual(lowercase_   ,       [3_1_9_5_7, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]							)
          tokenizer.save_pretrained('./tok'							)
          UpperCAmelCase									=					AutoTokenizer.from_pretrained('./tok'							)
          self.assertTrue(tokenizer.is_fast							)
          UpperCAmelCase									=					tokenizer.encode(
              lowercase_   ,       )
          self.assertEqual(lowercase_   ,       [3_1_9_5_7, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]							)





"""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()



