






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


lowerCamelCase			:					List[Any]         =	get_tests_dir('''fixtures/test_sentencepiece.model''')


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

lowerCamelCase			:					str         =	250004
lowerCamelCase			:					Union[str, Any]         =	250020



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


      def  __UpperCAmelCase		(	self	)->	Optional[Any]:
           super().setUp()

           # We have a SentencePiece fixture for testing
           __lowerCAmelCase								=					MBartTokenizer(__UpperCamelCase					,						keep_accents=__UpperCamelCase	)
           tokenizer.save_pretrained(self.tmpdirname	)


      def  __UpperCAmelCase		(	self	)->	Optional[int]:
           __lowerCAmelCase								=					MBartTokenizer(__UpperCamelCase					,						keep_accents=__UpperCamelCase	)

           __lowerCAmelCase								=					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								=					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								=					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								=					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  __UpperCAmelCase		(	self	)->	Optional[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								=					(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								=					self.rust_tokenizer_class.from_pretrained(__UpperCamelCase					,						**__UpperCamelCase	)
                     __lowerCAmelCase								=					self.tokenizer_class.from_pretrained(__UpperCamelCase					,						**__UpperCamelCase	)

                     __lowerCAmelCase								=					tempfile.mkdtemp()

                     __lowerCAmelCase								=					tokenizer_r.save_pretrained(__UpperCamelCase	)
                     __lowerCAmelCase								=					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								=					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								=					tokenizer_r.from_pretrained(__UpperCamelCase	)
                     __lowerCAmelCase								=					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								=					tempfile.mkdtemp()

                     __lowerCAmelCase								=					tokenizer_r.save_pretrained(__UpperCamelCase					,						legacy_format=__UpperCamelCase	)
                     __lowerCAmelCase								=					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								=					tokenizer_r.from_pretrained(__UpperCamelCase	)
                     __lowerCAmelCase								=					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								=					tempfile.mkdtemp()

                     __lowerCAmelCase								=					tokenizer_r.save_pretrained(__UpperCamelCase					,						legacy_format=__UpperCamelCase	)
                     __lowerCAmelCase								=					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								=					tokenizer_r.from_pretrained(__UpperCamelCase	)
                     __lowerCAmelCase								=					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 							_UpperCamelCase			(unittest.TestCase			):
      snake_case_  =							"""facebook/mbart-large-en-ro"""
      snake_case_  =							[
          """ 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.""",
      ]
      snake_case_  =							[
          """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.""",
      ]
      snake_case_  =							[8274, 127873, 25916, 7, 8622, 2071, 438, 67485, 53, 187895, 23, 51712, 2, EN_CODE]


      @classmethod
      def  __UpperCAmelCase		(	cls	)->	List[str]:
           __lowerCAmelCase								=					MBartTokenizer.from_pretrained(
               cls.checkpoint_name					,						src_lang="en_XX"					,						tgt_lang="ro_RO"	)
           __lowerCAmelCase								=					1
           return cls


      def  __UpperCAmelCase		(	self	)->	Optional[int]:
           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  __UpperCAmelCase		(	self	)->	Optional[int]:
           __lowerCAmelCase								=					self.tokenizer.batch_encode_plus(self.src_text	).input_ids[0]
           self.assertListEqual(self.expected_src_tokens					,						__UpperCamelCase	)


      def  __UpperCAmelCase		(	self	)->	Any:
           self.assertIn(__UpperCamelCase					,						self.tokenizer.all_special_ids	)
           __lowerCAmelCase								=					[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								=					self.tokenizer.decode(__UpperCamelCase					,						skip_special_tokens=__UpperCamelCase	)
           __lowerCAmelCase								=					self.tokenizer.decode(generated_ids[1:]					,						skip_special_tokens=__UpperCamelCase	)
           self.assertEqual(__UpperCamelCase					,						__UpperCamelCase	)
           self.assertNotIn(self.tokenizer.eos_token					,						__UpperCamelCase	)


      def  __UpperCAmelCase		(	self	)->	List[Any]:
           __lowerCAmelCase								=					["this is gunna be a long sentence " * 2_0]
           assert isinstance(src_text[0]					,						__UpperCamelCase	)
           __lowerCAmelCase								=					1_0
           __lowerCAmelCase								=					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  __UpperCAmelCase		(	self	)->	Union[str, Any]:
           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]	)					,						[2_5_0_0_2_6, 2_5_0_0_0_1]	)


      def  __UpperCAmelCase		(	self	)->	Any:
           __lowerCAmelCase								=					tempfile.mkdtemp()
           __lowerCAmelCase								=					self.tokenizer.fairseq_tokens_to_ids
           self.tokenizer.save_pretrained(__UpperCamelCase	)
           __lowerCAmelCase								=					MBartTokenizer.from_pretrained(__UpperCamelCase	)
           self.assertDictEqual(new_tok.fairseq_tokens_to_ids					,						__UpperCamelCase	)


      @require_torch
      def  __UpperCAmelCase		(	self	)->	Tuple:
           __lowerCAmelCase								=					self.tokenizer(self.src_text					,						text_target=self.tgt_text					,						padding=__UpperCamelCase					,						return_tensors="pt"	)
           __lowerCAmelCase								=					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	)->	List[Any]:
           __lowerCAmelCase								=					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								=					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								=					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  __UpperCAmelCase		(	self	)->	int:
           __lowerCAmelCase								=					self.tokenizer(self.src_text					,						padding=__UpperCamelCase					,						truncation=__UpperCamelCase					,						max_length=3					,						return_tensors="pt"	)
           __lowerCAmelCase								=					self.tokenizer(
               text_target=self.tgt_text					,						padding=__UpperCamelCase					,						truncation=__UpperCamelCase					,						max_length=1_0					,						return_tensors="pt"	)
           __lowerCAmelCase								=					targets["input_ids"]
           __lowerCAmelCase								=					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  __UpperCAmelCase		(	self	)->	Tuple:
           __lowerCAmelCase								=					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,
               }					,						)














def       __lowerCAmelCase      (						__snake_case					, __snake_case       ):
     if not isinstance(__snake_case					, __snake_case       ):
          raise ValueError("iterations must be defined as integers"       )
     if not isinstance(__snake_case					, __snake_case       ) or not number >= 1:
          raise ValueError(
              "starting number must be\n                         and integer and be more than 0"       )
     if not iterations >= 1:
          raise ValueError("Iterations must be done more than 0 times to play FizzBuzz"       )

     __lowerCAmelCase								=					""
     while number <= iterations:
          if number % 3 == 0:
               out += "Fizz"
          if number % 5 == 0:
               out += "Buzz"
          if 0 not in (number % 3, number % 5):
               out += str(__snake_case       )

          # print(out)
          number += 1
          out += " "
     return out


if __name__ == "__main__":
 import doctest

 doctest.testmod()






