

'''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


UpperCAmelCase :       List[str]			   =     get_tests_dir('fixtures/test_sentencepiece.model')


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

UpperCAmelCase :       str			   =     2_5_0_0_0_4
UpperCAmelCase :       Any			   =     2_5_0_0_2_0







@require_sentencepiece
@require_tokenizers
class 						lowerCAmelCase__   (      A__ ,					unittest.TestCase					):



 """simple docstring"""



 lowerCAmelCase__  					=      MBartTokenizer
 lowerCAmelCase__  					=      MBartTokenizerFast
 lowerCAmelCase__  					=      True
 lowerCAmelCase__  					=      True
 def       UpperCAmelCase__		(		self					:       List[str]			)  -> str:


      """simple docstring"""




      super().setUp()

      # We have a SentencePiece fixture for testing
      __SCREAMING_SNAKE_CASE     =      MBartTokenizer(lowerCAmelCase__					,							keep_accents=lowerCAmelCase__			)
      tokenizer.save_pretrained(self.tmpdirname			)
 def       UpperCAmelCase__		(		self					:       Any			)  -> Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      MBartTokenizer(lowerCAmelCase__					,							keep_accents=lowerCAmelCase__			)

      __SCREAMING_SNAKE_CASE     =      tokenizer.tokenize("""This is a test"""			)
      self.assertListEqual(lowerCAmelCase__					,							["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]			)

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(lowerCAmelCase__			)					,							[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]					,							)

      __SCREAMING_SNAKE_CASE     =      tokenizer.tokenize("""I was born in 92000, and this is falsé."""			)
      self.assertListEqual(
          lowerCAmelCase__					,							[
              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""",
              """.""",
          ]					,							)
      __SCREAMING_SNAKE_CASE     =      tokenizer.convert_tokens_to_ids(lowerCAmelCase__			)
      self.assertListEqual(
          lowerCAmelCase__					,							[
              value + tokenizer.fairseq_offset
              for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
              #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
          ]					,							)

      __SCREAMING_SNAKE_CASE     =      tokenizer.convert_ids_to_tokens(lowerCAmelCase__			)
      self.assertListEqual(
          lowerCAmelCase__					,							[
              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       UpperCAmelCase__		(		self					:       Dict			)  -> Union[str, Any]:


      """simple docstring"""




      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

      __SCREAMING_SNAKE_CASE     =      (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})'			):
                __SCREAMING_SNAKE_CASE     =      self.rust_tokenizer_class.from_pretrained(lowerCAmelCase__					,							**lowerCAmelCase__			)
                __SCREAMING_SNAKE_CASE     =      self.tokenizer_class.from_pretrained(lowerCAmelCase__					,							**lowerCAmelCase__			)

                __SCREAMING_SNAKE_CASE     =      tempfile.mkdtemp()

                __SCREAMING_SNAKE_CASE     =      tokenizer_r.save_pretrained(lowerCAmelCase__			)
                __SCREAMING_SNAKE_CASE     =      tokenizer_p.save_pretrained(lowerCAmelCase__			)

                # 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			)			)
                __SCREAMING_SNAKE_CASE     =      tuple(f for f in tokenizer_r_files if """tokenizer.json""" not in f			)
                self.assertSequenceEqual(lowerCAmelCase__					,							lowerCAmelCase__			)

                # Checks everything loads correctly in the same way
                __SCREAMING_SNAKE_CASE     =      tokenizer_r.from_pretrained(lowerCAmelCase__			)
                __SCREAMING_SNAKE_CASE     =      tokenizer_p.from_pretrained(lowerCAmelCase__			)

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

                shutil.rmtree(lowerCAmelCase__			)

                # Save tokenizer rust, legacy_format=True
                __SCREAMING_SNAKE_CASE     =      tempfile.mkdtemp()

                __SCREAMING_SNAKE_CASE     =      tokenizer_r.save_pretrained(lowerCAmelCase__					,							legacy_format=lowerCAmelCase__			)
                __SCREAMING_SNAKE_CASE     =      tokenizer_p.save_pretrained(lowerCAmelCase__			)

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

                # Checks everything loads correctly in the same way
                __SCREAMING_SNAKE_CASE     =      tokenizer_r.from_pretrained(lowerCAmelCase__			)
                __SCREAMING_SNAKE_CASE     =      tokenizer_p.from_pretrained(lowerCAmelCase__			)

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

                shutil.rmtree(lowerCAmelCase__			)

                # Save tokenizer rust, legacy_format=False
                __SCREAMING_SNAKE_CASE     =      tempfile.mkdtemp()

                __SCREAMING_SNAKE_CASE     =      tokenizer_r.save_pretrained(lowerCAmelCase__					,							legacy_format=lowerCAmelCase__			)
                __SCREAMING_SNAKE_CASE     =      tokenizer_p.save_pretrained(lowerCAmelCase__			)

                # 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
                __SCREAMING_SNAKE_CASE     =      tokenizer_r.from_pretrained(lowerCAmelCase__			)
                __SCREAMING_SNAKE_CASE     =      tokenizer_p.from_pretrained(lowerCAmelCase__			)

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

                shutil.rmtree(lowerCAmelCase__			)







@require_torch
@require_sentencepiece
@require_tokenizers
class 						lowerCAmelCase__   (      unittest.TestCase					):



 """simple docstring"""



 lowerCAmelCase__  					=      '''facebook/mbart-large-en-ro'''
 lowerCAmelCase__  					=      [
     ''' 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.''',
 ]
 lowerCAmelCase__  					=      [
     '''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.''',
 ]
 lowerCAmelCase__  					=      [8274, 127873, 25916, 7, 8622, 2071, 438, 67485, 53, 187895, 23, 51712, 2, EN_CODE]
 @classmethod
 def       UpperCAmelCase__		(		cls					:       str			)  -> int:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      MBartTokenizer.from_pretrained(
          cls.checkpoint_name					,							src_lang="""en_XX"""					,							tgt_lang="""ro_RO"""			)
      __SCREAMING_SNAKE_CASE     =      1
      return cls
 def       UpperCAmelCase__		(		self					:       Optional[Any]			)  -> Dict:


      """simple docstring"""




      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""ar_AR"""]					,							250_001			)
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""en_EN"""]					,							250_004			)
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""ro_RO"""]					,							250_020			)
 def       UpperCAmelCase__		(		self					:       Any			)  -> Union[str, Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.tokenizer.batch_encode_plus(self.src_text			).input_ids[0]
      self.assertListEqual(self.expected_src_tokens					,							lowerCAmelCase__			)
 def       UpperCAmelCase__		(		self					:       List[Any]			)  -> Tuple:


      """simple docstring"""




      self.assertIn(lowerCAmelCase__					,							self.tokenizer.all_special_ids			)
      __SCREAMING_SNAKE_CASE     =      [RO_CODE, 884, 9_019, 96, 9, 916, 86_792, 36, 18_743, 15_596, 5, 2]
      __SCREAMING_SNAKE_CASE     =      self.tokenizer.decode(lowerCAmelCase__					,							skip_special_tokens=lowerCAmelCase__			)
      __SCREAMING_SNAKE_CASE     =      self.tokenizer.decode(generated_ids[1:]					,							skip_special_tokens=lowerCAmelCase__			)
      self.assertEqual(lowerCAmelCase__					,							lowerCAmelCase__			)
      self.assertNotIn(self.tokenizer.eos_token					,							lowerCAmelCase__			)
 def       UpperCAmelCase__		(		self					:       List[str]			)  -> List[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      ['''this is gunna be a long sentence ''' * 20]
      assert isinstance(src_text[0]					,							lowerCAmelCase__			)
      __SCREAMING_SNAKE_CASE     =      10
      __SCREAMING_SNAKE_CASE     =      self.tokenizer(lowerCAmelCase__					,							max_length=lowerCAmelCase__					,							truncation=lowerCAmelCase__			).input_ids[0]
      self.assertEqual(ids[-2]					,							2			)
      self.assertEqual(ids[-1]					,							lowerCAmelCase__			)
      self.assertEqual(len(lowerCAmelCase__			)					,							lowerCAmelCase__			)
 def       UpperCAmelCase__		(		self					:       Any			)  -> List[str]:


      """simple docstring"""




      self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """ar_AR"""]			)					,							[250_026, 250_001]			)
 def       UpperCAmelCase__		(		self					:       List[str]			)  -> List[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      tempfile.mkdtemp()
      __SCREAMING_SNAKE_CASE     =      self.tokenizer.fairseq_tokens_to_ids
      self.tokenizer.save_pretrained(lowerCAmelCase__			)
      __SCREAMING_SNAKE_CASE     =      MBartTokenizer.from_pretrained(lowerCAmelCase__			)
      self.assertDictEqual(new_tok.fairseq_tokens_to_ids					,							lowerCAmelCase__			)
 @require_torch
 def       UpperCAmelCase__		(		self					:       Dict			)  -> List[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.tokenizer(self.src_text					,							text_target=self.tgt_text					,							padding=lowerCAmelCase__					,							return_tensors="""pt"""			)
      __SCREAMING_SNAKE_CASE     =      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       UpperCAmelCase__		(		self					:       Union[str, Any]			)  -> Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.tokenizer(
          self.src_text					,							text_target=self.tgt_text					,							padding=lowerCAmelCase__					,							truncation=lowerCAmelCase__					,							max_length=len(self.expected_src_tokens			)					,							return_tensors="""pt"""					,							)

      __SCREAMING_SNAKE_CASE     =      shift_tokens_right(batch["""labels"""]					,							self.tokenizer.pad_token_id			)

      self.assertIsInstance(lowerCAmelCase__					,							lowerCAmelCase__			)

      self.assertEqual((2, 14)					,							batch.input_ids.shape			)
      self.assertEqual((2, 14)					,							batch.attention_mask.shape			)
      __SCREAMING_SNAKE_CASE     =      batch.input_ids.tolist()[0]
      self.assertListEqual(self.expected_src_tokens					,							lowerCAmelCase__			)
      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       UpperCAmelCase__		(		self					:       Optional[Any]			)  -> Optional[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.tokenizer(self.src_text					,							padding=lowerCAmelCase__					,							truncation=lowerCAmelCase__					,							max_length=3					,							return_tensors="""pt"""			)
      __SCREAMING_SNAKE_CASE     =      self.tokenizer(
          text_target=self.tgt_text					,							padding=lowerCAmelCase__					,							truncation=lowerCAmelCase__					,							max_length=10					,							return_tensors="""pt"""			)
      __SCREAMING_SNAKE_CASE     =      targets['''input_ids''']
      __SCREAMING_SNAKE_CASE     =      shift_tokens_right(lowerCAmelCase__					,							self.tokenizer.pad_token_id			)

      self.assertEqual(batch.input_ids.shape[1]					,							3			)
      self.assertEqual(batch.decoder_input_ids.shape[1]					,							10			)


 @require_torch
 def       UpperCAmelCase__		(		self					:       Optional[int]			)  -> Dict:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.tokenizer._build_translation_inputs(
          """A test"""					,							return_tensors="""pt"""					,							src_lang="""en_XX"""					,							tgt_lang="""ar_AR"""			)

      self.assertEqual(
          nested_simplify(lowerCAmelCase__			)					,							{
              # A, test, EOS, en_XX
              """input_ids""": [[62, 3_034, 2, 250_004]],
              """attention_mask""": [[1, 1, 1, 1]],
              # ar_AR
              """forced_bos_token_id""": 250_001,
          }					,							)










from __future__ import annotations


def        _UpperCamelCase							(      lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     Dict					=		0.00
						__SCREAMING_SNAKE_CASE						:     List[str]					=		0
						for resistor in resistors:
												if resistor <= 0:
																		__SCREAMING_SNAKE_CASE						:     Any					=		F'''Resistor at index {index} has a negative or zero value!'''
																		raise ValueError(lowercase__      )
												first_sum += 1 / float(lowercase__      )
												index += 1
						return 1 / first_sum


def        _UpperCamelCase							(      lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     Tuple					=		0.00
						__SCREAMING_SNAKE_CASE						:     int					=		0
						for resistor in resistors:
												sum_r += resistor
												if resistor < 0:
																		__SCREAMING_SNAKE_CASE						:     Tuple					=		F'''Resistor at index {index} has a negative value!'''
																		raise ValueError(lowercase__      )
												index += 1
						return sum_r


if __name__ == "__main__":
						import doctest

						doctest.testmod()
