


"""simple docstring"""





import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


snake_case__		:     Tuple    				=				get_tests_dir('''fixtures/test_sentencepiece.model''')


if is_torch_available():
 from transformers.models.mbart.modeling_mbart import shift_tokens_right

snake_case__		:     Dict    				=				250_004
snake_case__		:     List[Any]    				=				250_020



@require_sentencepiece
@require_tokenizers
class 		snake_case_(       a__							,					unittest.TestCase			):
     __UpperCamelCase  =					MBartTokenizer
     __UpperCamelCase  =					MBartTokenizerFast
     __UpperCamelCase  =					True
     __UpperCamelCase  =					True






     def      lowerCamelCase__     (	self  :					int				):
           super().setUp()

           # We have a SentencePiece fixture for testing
           lowerCAmelCase					:	Tuple       =   MBartTokenizer(UpperCamelCase_					,				keep_accents=UpperCamelCase_				)
           tokenizer.save_pretrained(self.tmpdirname				)






     def      lowerCamelCase__     (	self  :					Optional[Any]				):
           lowerCAmelCase					:	int       =   MBartTokenizer(UpperCamelCase_					,				keep_accents=UpperCamelCase_				)

           lowerCAmelCase					:	int       =   tokenizer.tokenize('''This is a test'''				)
           self.assertListEqual(UpperCamelCase_					,				['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']				)

           self.assertListEqual(
               tokenizer.convert_tokens_to_ids(UpperCamelCase_				)					,				[value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]					,				)

           lowerCAmelCase					:	Optional[int]       =   tokenizer.tokenize('''I was born in 92000, and this is falsé.'''				)
           self.assertListEqual(
               UpperCamelCase_					,				[
                   SPIECE_UNDERLINE + '''I''',
                   SPIECE_UNDERLINE + '''was''',
                   SPIECE_UNDERLINE + '''b''',
                   '''or''',
                   '''n''',
                   SPIECE_UNDERLINE + '''in''',
                   SPIECE_UNDERLINE + '''''',
                   '''9''',
                   '''2''',
                   '''0''',
                   '''0''',
                   '''0''',
                   ''',''',
                   SPIECE_UNDERLINE + '''and''',
                   SPIECE_UNDERLINE + '''this''',
                   SPIECE_UNDERLINE + '''is''',
                   SPIECE_UNDERLINE + '''f''',
                   '''al''',
                   '''s''',
                   '''é''',
                   '''.''',
               ]					,				)
           lowerCAmelCase					:	Tuple       =   tokenizer.convert_tokens_to_ids(UpperCamelCase_				)
           self.assertListEqual(
               UpperCamelCase_					,				[
                   value + tokenizer.fairseq_offset
                   for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
                   #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
               ]					,				)

           lowerCAmelCase					:	Tuple       =   tokenizer.convert_ids_to_tokens(UpperCamelCase_				)
           self.assertListEqual(
               UpperCamelCase_					,				[
                   SPIECE_UNDERLINE + '''I''',
                   SPIECE_UNDERLINE + '''was''',
                   SPIECE_UNDERLINE + '''b''',
                   '''or''',
                   '''n''',
                   SPIECE_UNDERLINE + '''in''',
                   SPIECE_UNDERLINE + '''''',
                   '''<unk>''',
                   '''2''',
                   '''0''',
                   '''0''',
                   '''0''',
                   ''',''',
                   SPIECE_UNDERLINE + '''and''',
                   SPIECE_UNDERLINE + '''this''',
                   SPIECE_UNDERLINE + '''is''',
                   SPIECE_UNDERLINE + '''f''',
                   '''al''',
                   '''s''',
                   '''<unk>''',
                   '''.''',
               ]					,				)






     def      lowerCamelCase__     (	self  :					int				):
           if not self.test_slow_tokenizer:
                 # as we don't have a slow version, we can't compare the outputs between slow and fast versions
                 return

           lowerCAmelCase					:	Optional[int]       =   (self.rust_tokenizer_class, '''hf-internal-testing/tiny-random-mbart''', {})
           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''				):
                       lowerCAmelCase					:	Tuple       =   self.rust_tokenizer_class.from_pretrained(UpperCamelCase_					,				**UpperCamelCase_				)
                       lowerCAmelCase					:	List[Any]       =   self.tokenizer_class.from_pretrained(UpperCamelCase_					,				**UpperCamelCase_				)

                       lowerCAmelCase					:	str       =   tempfile.mkdtemp()

                       lowerCAmelCase					:	Optional[int]       =   tokenizer_r.save_pretrained(UpperCamelCase_				)
                       lowerCAmelCase					:	int       =   tokenizer_p.save_pretrained(UpperCamelCase_				)

                       # Checks it save with the same files + the tokenizer.json file for the fast one
                       self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files				)				)
                       lowerCAmelCase					:	Optional[Any]       =   tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f				)
                       self.assertSequenceEqual(UpperCamelCase_					,				UpperCamelCase_				)

                       # Checks everything loads correctly in the same way
                       lowerCAmelCase					:	List[Any]       =   tokenizer_r.from_pretrained(UpperCamelCase_				)
                       lowerCAmelCase					:	Optional[Any]       =   tokenizer_p.from_pretrained(UpperCamelCase_				)

                       # Check special tokens are set accordingly on Rust and Python
                       for key in tokenizer_pp.special_tokens_map:
                             self.assertTrue(hasattr(UpperCamelCase_					,				UpperCamelCase_				)				)
                             # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
                             # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

                       shutil.rmtree(UpperCamelCase_				)

                       # Save tokenizer rust, legacy_format=True
                       lowerCAmelCase					:	Any       =   tempfile.mkdtemp()

                       lowerCAmelCase					:	Dict       =   tokenizer_r.save_pretrained(UpperCamelCase_					,				legacy_format=UpperCamelCase_				)
                       lowerCAmelCase					:	List[Any]       =   tokenizer_p.save_pretrained(UpperCamelCase_				)

                       # Checks it save with the same files
                       self.assertSequenceEqual(UpperCamelCase_					,				UpperCamelCase_				)

                       # Checks everything loads correctly in the same way
                       lowerCAmelCase					:	str       =   tokenizer_r.from_pretrained(UpperCamelCase_				)
                       lowerCAmelCase					:	Dict       =   tokenizer_p.from_pretrained(UpperCamelCase_				)

                       # Check special tokens are set accordingly on Rust and Python
                       for key in tokenizer_pp.special_tokens_map:
                             self.assertTrue(hasattr(UpperCamelCase_					,				UpperCamelCase_				)				)

                       shutil.rmtree(UpperCamelCase_				)

                       # Save tokenizer rust, legacy_format=False
                       lowerCAmelCase					:	Optional[Any]       =   tempfile.mkdtemp()

                       lowerCAmelCase					:	Optional[int]       =   tokenizer_r.save_pretrained(UpperCamelCase_					,				legacy_format=UpperCamelCase_				)
                       lowerCAmelCase					:	List[Any]       =   tokenizer_p.save_pretrained(UpperCamelCase_				)

                       # Checks it saved the tokenizer.json file
                       self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files				)				)

                       # Checks everything loads correctly in the same way
                       lowerCAmelCase					:	Optional[Any]       =   tokenizer_r.from_pretrained(UpperCamelCase_				)
                       lowerCAmelCase					:	Optional[int]       =   tokenizer_p.from_pretrained(UpperCamelCase_				)

                       # Check special tokens are set accordingly on Rust and Python
                       for key in tokenizer_pp.special_tokens_map:
                             self.assertTrue(hasattr(UpperCamelCase_					,				UpperCamelCase_				)				)

                       shutil.rmtree(UpperCamelCase_				)



@require_torch
@require_sentencepiece
@require_tokenizers
class 		snake_case_(       unittest.TestCase			):
     __UpperCamelCase  =					'''facebook/mbart-large-en-ro'''
     __UpperCamelCase  =					[
         ''' UN Chief Says There Is No Military Solution in Syria''',
         ''' Secretary-General Ban Ki-moon says his response to Russia\'s stepped up military support for Syria is that "there is no military solution" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.''',
     ]
     __UpperCamelCase  =					[
         '''Şeful ONU declară că nu există o soluţie militară în Siria''',
         '''Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei'''
         ''' pentru Siria este că "nu există o soluţie militară" la conflictul de aproape cinci ani şi că noi arme nu vor'''
         ''' face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.''',
     ]
     __UpperCamelCase  =					[8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2, EN_CODE]






     @classmethod
     def      lowerCamelCase__     (	cls  :					Optional[Any]				):
           lowerCAmelCase					:	MBartTokenizer       =   MBartTokenizer.from_pretrained(
               cls.checkpoint_name					,				src_lang='''en_XX'''					,				tgt_lang='''ro_RO'''				)
           lowerCAmelCase					:	List[Any]       =   1
           return cls






     def      lowerCamelCase__     (	self  :					Union[str, Any]				):
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ar_AR''']					,				2_5_0_0_0_1				)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''en_EN''']					,				2_5_0_0_0_4				)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ro_RO''']					,				2_5_0_0_2_0				)






     def      lowerCamelCase__     (	self  :					str				):
           lowerCAmelCase					:	List[Any]       =   self.tokenizer.batch_encode_plus(self.src_text				).input_ids[0]
           self.assertListEqual(self.expected_src_tokens					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Tuple				):
           self.assertIn(UpperCamelCase_					,				self.tokenizer.all_special_ids				)
           lowerCAmelCase					:	Union[str, Any]       =   [RO_CODE, 8_8_4, 9_0_1_9, 9_6, 9, 9_1_6, 8_6_7_9_2, 3_6, 1_8_7_4_3, 1_5_5_9_6, 5, 2]
           lowerCAmelCase					:	Optional[Any]       =   self.tokenizer.decode(UpperCamelCase_					,				skip_special_tokens=UpperCamelCase_				)
           lowerCAmelCase					:	Any       =   self.tokenizer.decode(generated_ids[1:]					,				skip_special_tokens=UpperCamelCase_				)
           self.assertEqual(UpperCamelCase_					,				UpperCamelCase_				)
           self.assertNotIn(self.tokenizer.eos_token					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Tuple				):
           lowerCAmelCase					:	List[Any]       =   ['''this is gunna be a long sentence ''' * 2_0]
           assert isinstance(src_text[0]					,				UpperCamelCase_				)
           lowerCAmelCase					:	Dict       =   1_0
           lowerCAmelCase					:	List[str]       =   self.tokenizer(UpperCamelCase_					,				max_length=UpperCamelCase_					,				truncation=UpperCamelCase_				).input_ids[0]
           self.assertEqual(ids[-2]					,				2				)
           self.assertEqual(ids[-1]					,				UpperCamelCase_				)
           self.assertEqual(len(UpperCamelCase_				)					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					int				):
           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']				)					,				[2_5_0_0_2_6, 2_5_0_0_0_1]				)






     def      lowerCamelCase__     (	self  :					Union[str, Any]				):
           lowerCAmelCase					:	Tuple       =   tempfile.mkdtemp()
           lowerCAmelCase					:	Optional[int]       =   self.tokenizer.fairseq_tokens_to_ids
           self.tokenizer.save_pretrained(UpperCamelCase_				)
           lowerCAmelCase					:	Union[str, Any]       =   MBartTokenizer.from_pretrained(UpperCamelCase_				)
           self.assertDictEqual(new_tok.fairseq_tokens_to_ids					,				UpperCamelCase_				)






     @require_torch
     def      lowerCamelCase__     (	self  :					List[str]				):
           lowerCAmelCase					:	List[Any]       =   self.tokenizer(self.src_text					,				text_target=self.tgt_text					,				padding=UpperCamelCase_					,				return_tensors='''pt'''				)
           lowerCAmelCase					:	str       =   shift_tokens_right(batch['''labels''']					,				self.tokenizer.pad_token_id				)

           # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
           assert batch.input_ids[1][-2:].tolist() == [2, EN_CODE]
           assert batch.decoder_input_ids[1][0].tolist() == RO_CODE
           assert batch.decoder_input_ids[1][-1] == 2
           assert batch.labels[1][-2:].tolist() == [2, RO_CODE]






     @require_torch
     def      lowerCamelCase__     (	self  :					Tuple				):
           lowerCAmelCase					:	Dict       =   self.tokenizer(
               self.src_text					,				text_target=self.tgt_text					,				padding=UpperCamelCase_					,				truncation=UpperCamelCase_					,				max_length=len(self.expected_src_tokens				)					,				return_tensors='''pt'''					,				)

           lowerCAmelCase					:	List[str]       =   shift_tokens_right(batch['''labels''']					,				self.tokenizer.pad_token_id				)

           self.assertIsInstance(UpperCamelCase_					,				UpperCamelCase_				)

           self.assertEqual((2, 1_4)					,				batch.input_ids.shape				)
           self.assertEqual((2, 1_4)					,				batch.attention_mask.shape				)
           lowerCAmelCase					:	List[Any]       =   batch.input_ids.tolist()[0]
           self.assertListEqual(self.expected_src_tokens					,				UpperCamelCase_				)
           self.assertEqual(2					,				batch.decoder_input_ids[0, -1]				)  # EOS
           # Test that special tokens are reset
           self.assertEqual(self.tokenizer.prefix_tokens					,				[]				)
           self.assertEqual(self.tokenizer.suffix_tokens					,				[self.tokenizer.eos_token_id, EN_CODE]				)






     def      lowerCamelCase__     (	self  :					str				):
           lowerCAmelCase					:	str       =   self.tokenizer(self.src_text					,				padding=UpperCamelCase_					,				truncation=UpperCamelCase_					,				max_length=3					,				return_tensors='''pt'''				)
           lowerCAmelCase					:	Union[str, Any]       =   self.tokenizer(
               text_target=self.tgt_text					,				padding=UpperCamelCase_					,				truncation=UpperCamelCase_					,				max_length=1_0					,				return_tensors='''pt'''				)
           lowerCAmelCase					:	str       =   targets['''input_ids''']
           lowerCAmelCase					:	int       =   shift_tokens_right(UpperCamelCase_					,				self.tokenizer.pad_token_id				)

           self.assertEqual(batch.input_ids.shape[1]					,				3				)
           self.assertEqual(batch.decoder_input_ids.shape[1]					,				1_0				)






     @require_torch
     def      lowerCamelCase__     (	self  :					List[Any]				):
           lowerCAmelCase					:	str       =   self.tokenizer._build_translation_inputs(
               '''A test'''					,				return_tensors='''pt'''					,				src_lang='''en_XX'''					,				tgt_lang='''ar_AR'''				)

           self.assertEqual(
               nested_simplify(UpperCamelCase_				)					,				{
                   # A, test, EOS, en_XX
                   '''input_ids''': [[6_2, 3_0_3_4, 2, 2_5_0_0_0_4]],
                   '''attention_mask''': [[1, 1, 1, 1]],
                   # ar_AR
                   '''forced_bos_token_id''': 2_5_0_0_0_1,
               }					,				)






"""simple docstring"""





# using dfs for finding eulerian path traversal


def      _snake_case						(						_snake_case				:			Optional[Any] ,   _snake_case				:			List[Any] ,   _snake_case				:			str ,   _snake_case				:			List[Any]=None			):
      lowerCAmelCase					:	Any       =   (path or []) + [u]
      for v in graph[u]:
            if visited_edge[u][v] is False:
                  lowerCAmelCase,      lowerCAmelCase					:	Union[str, Any]       =   True, True
                  lowerCAmelCase					:	int       =   dfs(_snake_case ,   _snake_case ,   _snake_case ,   _snake_case			)
      return path


def      _snake_case						(						_snake_case				:			Optional[int] ,   _snake_case				:			Dict			):
      lowerCAmelCase					:	Tuple       =   0
      lowerCAmelCase					:	Optional[Any]       =   -1
      for i in range(_snake_case			):
            if i not in graph.keys():
                  continue
            if len(graph[i]			) % 2 == 1:
                  odd_degree_nodes += 1
                  lowerCAmelCase					:	Optional[Any]       =   i
      if odd_degree_nodes == 0:
            return 1, odd_node
      if odd_degree_nodes == 2:
            return 2, odd_node
      return 3, odd_node


def      _snake_case						(						_snake_case				:			Tuple ,   _snake_case				:			List[Any]			):
      lowerCAmelCase					:	Any       =   [[False for _ in range(max_node + 1			)] for _ in range(max_node + 1			)]
      lowerCAmelCase,      lowerCAmelCase					:	Optional[int]       =   check_circuit_or_path(_snake_case ,   _snake_case			)
      if check == 3:
            print('''graph is not Eulerian'''			)
            print('''no path'''			)
            return
      lowerCAmelCase					:	Dict       =   1
      if check == 2:
            lowerCAmelCase					:	int       =   odd_node
            print('''graph has a Euler path'''			)
      if check == 1:
            print('''graph has a Euler cycle'''			)
      lowerCAmelCase					:	List[str]       =   dfs(_snake_case ,   _snake_case ,   _snake_case			)
      print(_snake_case			)


def      _snake_case						(						):
      lowerCAmelCase					:	Optional[Any]       =   {1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
      lowerCAmelCase					:	Union[str, Any]       =   {1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
      lowerCAmelCase					:	List[Any]       =   {1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
      lowerCAmelCase					:	Optional[Any]       =   {1: [2, 3], 2: [1, 3], 3: [1, 2]}
      lowerCAmelCase					:	Any       =   {
          1: [],
          2: []
          # all degree is zero
      }
      lowerCAmelCase					:	List[str]       =   10
      check_euler(_snake_case ,   _snake_case			)
      check_euler(_snake_case ,   _snake_case			)
      check_euler(_snake_case ,   _snake_case			)
      check_euler(_snake_case ,   _snake_case			)
      check_euler(_snake_case ,   _snake_case			)


if __name__ == "__main__":
 main()


