
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


A__      :	Any          =    get_tests_dir("""fixtures/test_sentencepiece.model""")


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

A__      :	Optional[int]          =    250_004
A__      :	Tuple          =    250_020







@require_sentencepiece
@require_tokenizers
class   _lowercase						(       lowerCAmelCase_	,   unittest.TestCase				):


     '''simple docstring'''





     _A								=							MBartTokenizer
     _A								=							MBartTokenizerFast
     _A								=							True
     _A								=							True



     def  lowerCAmelCase__       (      self  )->					Any:
          super().setUp()

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



     def  lowerCAmelCase__       (      self  )->					List[Any]:
          UpperCAmelCase__							: Any 							=						MBartTokenizer(__UpperCamelCase ,			keep_accents=__UpperCamelCase  )

          UpperCAmelCase__							: Optional[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_85, 46, 10, 1_70, 3_82]] ,			)

          UpperCAmelCase__							: List[Any] 							=						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",
                  ".",
              ] ,			)
          UpperCAmelCase__							: int 							=						tokenizer.convert_tokens_to_ids(__UpperCamelCase  )
          self.assertListEqual(
              __UpperCamelCase ,			[
                  value + tokenizer.fairseq_offset
                  for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
                  #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
              ] ,			)

          UpperCAmelCase__							: str 							=						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  )->					Optional[Any]:
          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

          UpperCAmelCase__							: str 							=						(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})"  ):
                    UpperCAmelCase__							: Any 							=						self.rust_tokenizer_class.from_pretrained(__UpperCamelCase ,			**__UpperCamelCase  )
                    UpperCAmelCase__							: int 							=						self.tokenizer_class.from_pretrained(__UpperCamelCase ,			**__UpperCamelCase  )

                    UpperCAmelCase__							: int 							=						tempfile.mkdtemp()

                    UpperCAmelCase__							: str 							=						tokenizer_r.save_pretrained(__UpperCamelCase  )
                    UpperCAmelCase__							: List[Any] 							=						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  )  )
                    UpperCAmelCase__							: int 							=						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
                    UpperCAmelCase__							: int 							=						tokenizer_r.from_pretrained(__UpperCamelCase  )
                    UpperCAmelCase__							: str 							=						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
                    UpperCAmelCase__							: Optional[Any] 							=						tempfile.mkdtemp()

                    UpperCAmelCase__							: Any 							=						tokenizer_r.save_pretrained(__UpperCamelCase ,			legacy_format=__UpperCamelCase  )
                    UpperCAmelCase__							: Tuple 							=						tokenizer_p.save_pretrained(__UpperCamelCase  )

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

                    # Checks everything loads correctly in the same way
                    UpperCAmelCase__							: Optional[Any] 							=						tokenizer_r.from_pretrained(__UpperCamelCase  )
                    UpperCAmelCase__							: 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  )

                    # Save tokenizer rust, legacy_format=False
                    UpperCAmelCase__							: Any 							=						tempfile.mkdtemp()

                    UpperCAmelCase__							: Union[str, Any] 							=						tokenizer_r.save_pretrained(__UpperCamelCase ,			legacy_format=__UpperCamelCase  )
                    UpperCAmelCase__							: List[str] 							=						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
                    UpperCAmelCase__							: List[str] 							=						tokenizer_r.from_pretrained(__UpperCamelCase  )
                    UpperCAmelCase__							: 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  )  )

                    shutil.rmtree(__UpperCamelCase  )







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


     '''simple docstring'''





     _A								=							'facebook/mbart-large-en-ro'
     _A								=							[
         ' 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.',
     ]
     _A								=							[
         '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.',
     ]
     _A								=							[8274, 12_7873, 2_5916, 7, 8622, 2071, 438, 6_7485, 53, 18_7895, 23, 5_1712, 2, EN_CODE]



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



     def  lowerCAmelCase__       (      self  )->					Dict:
          self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"] ,			25_00_01  )
          self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"] ,			25_00_04  )
          self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"] ,			25_00_20  )



     def  lowerCAmelCase__       (      self  )->					Any:
          UpperCAmelCase__							: Tuple 							=						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  )
          UpperCAmelCase__							: Dict 							=						[RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
          UpperCAmelCase__							: List[str] 							=						self.tokenizer.decode(__UpperCamelCase ,			skip_special_tokens=__UpperCamelCase  )
          UpperCAmelCase__							: List[str] 							=						self.tokenizer.decode(generated_ids[1:] ,			skip_special_tokens=__UpperCamelCase  )
          self.assertEqual(__UpperCamelCase ,			__UpperCamelCase  )
          self.assertNotIn(self.tokenizer.eos_token ,			__UpperCamelCase  )



     def  lowerCAmelCase__       (      self  )->					int:
          UpperCAmelCase__							: Optional[Any] 							=						["this is gunna be a long sentence " * 20]
          assert isinstance(src_text[0] ,			__UpperCamelCase  )
          UpperCAmelCase__							: Optional[int] 							=						10
          UpperCAmelCase__							: Optional[Any] 							=						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  )->					str:
          self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]  ) ,			[25_00_26, 25_00_01]  )



     def  lowerCAmelCase__       (      self  )->					List[Any]:
          UpperCAmelCase__							: List[Any] 							=						tempfile.mkdtemp()
          UpperCAmelCase__							: Union[str, Any] 							=						self.tokenizer.fairseq_tokens_to_ids
          self.tokenizer.save_pretrained(__UpperCamelCase  )
          UpperCAmelCase__							: Tuple 							=						MBartTokenizer.from_pretrained(__UpperCamelCase  )
          self.assertDictEqual(new_tok.fairseq_tokens_to_ids ,			__UpperCamelCase  )



     @require_torch
     def  lowerCAmelCase__       (      self  )->					int:
          UpperCAmelCase__							: Optional[int] 							=						self.tokenizer(self.src_text ,			text_target=self.tgt_text ,			padding=__UpperCamelCase ,			return_tensors="pt"  )
          UpperCAmelCase__							: Tuple 							=						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:
          UpperCAmelCase__							: List[str] 							=						self.tokenizer(
              self.src_text ,			text_target=self.tgt_text ,			padding=__UpperCamelCase ,			truncation=__UpperCamelCase ,			max_length=len(self.expected_src_tokens  ) ,			return_tensors="pt" ,			)

          UpperCAmelCase__							: Any 							=						shift_tokens_right(batch["labels"] ,			self.tokenizer.pad_token_id  )

          self.assertIsInstance(__UpperCamelCase ,			__UpperCamelCase  )

          self.assertEqual((2, 14) ,			batch.input_ids.shape  )
          self.assertEqual((2, 14) ,			batch.attention_mask.shape  )
          UpperCAmelCase__							: str 							=						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  )->					Union[str, Any]:
          UpperCAmelCase__							: Dict 							=						self.tokenizer(self.src_text ,			padding=__UpperCamelCase ,			truncation=__UpperCamelCase ,			max_length=3 ,			return_tensors="pt"  )
          UpperCAmelCase__							: Dict 							=						self.tokenizer(
              text_target=self.tgt_text ,			padding=__UpperCamelCase ,			truncation=__UpperCamelCase ,			max_length=10 ,			return_tensors="pt"  )
          UpperCAmelCase__							: Dict 							=						targets["input_ids"]
          UpperCAmelCase__							: List[Any] 							=						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] ,			10  )



     @require_torch
     def  lowerCAmelCase__       (      self  )->					str:
          UpperCAmelCase__							: List[Any] 							=						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": [[62, 30_34, 2, 25_00_04]],
                  "attention_mask": [[1, 1, 1, 1]],
                  # ar_AR
                  "forced_bos_token_id": 25_00_01,
              } ,			)





"""simple docstring"""




from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url







class   _lowercase						(       lowerCAmelCase_				):


     '''simple docstring'''





     _A								=							''
     _A								=							'hf-legacy'  # "hf://"" is reserved for hffs



     def __init__(      self ,			__UpperCamelCase = None ,			__UpperCamelCase = None ,			**__UpperCamelCase ,			)->					str:
          super().__init__(self ,			**__UpperCamelCase  )
          UpperCAmelCase__							: int 							=						repo_info
          UpperCAmelCase__							: Optional[int] 							=						token
          UpperCAmelCase__							: Optional[Any] 							=						None



     def  lowerCAmelCase__       (      self  )->					Optional[Any]:
          if self.dir_cache is None:
               UpperCAmelCase__							: str 							=						{}
               for hf_file in self.repo_info.siblings:
                    # TODO(QL): add sizes
                    UpperCAmelCase__							: str 							=						{
                        "name": hf_file.rfilename,
                        "size": None,
                        "type": "file",
                    }
                    self.dir_cache.update(
                        {
                            str(__UpperCamelCase  ): {"name": str(__UpperCamelCase  ), "size": None, "type": "directory"}
                            for d in list(PurePosixPath(hf_file.rfilename  ).parents  )[:-1]
                        }  )



     def  lowerCAmelCase__       (      self ,			__UpperCamelCase ,			__UpperCamelCase = "rb" ,			**__UpperCamelCase ,			)->					List[Any]:
          if not isinstance(self.repo_info ,			__UpperCamelCase  ):
               raise NotImplementedError(F"Open is only implemented for dataset repositories, but got {self.repo_info}"  )
          UpperCAmelCase__							: Union[str, Any] 							=						hf_hub_url(self.repo_info.id ,			__UpperCamelCase ,			revision=self.repo_info.sha  )
          return fsspec.open(
              __UpperCamelCase ,			mode=__UpperCamelCase ,			headers=get_authentication_headers_for_url(__UpperCamelCase ,			use_auth_token=self.token  ) ,			client_kwargs={"trust_env": True} ,			).open()



     def  lowerCAmelCase__       (      self ,			__UpperCamelCase ,			**__UpperCamelCase  )->					List[str]:
          self._get_dirs()
          UpperCAmelCase__							: Union[str, Any] 							=						self._strip_protocol(__UpperCamelCase  )
          if path in self.dir_cache:
               return self.dir_cache[path]
          else:
               raise FileNotFoundError(__UpperCamelCase  )



     def  lowerCAmelCase__       (      self ,			__UpperCamelCase ,			__UpperCamelCase=False ,			**__UpperCamelCase  )->					str:
          self._get_dirs()
          UpperCAmelCase__							: str 							=						PurePosixPath(path.strip("/"  )  )
          UpperCAmelCase__							: Optional[Any] 							=						{}
          for p, f in self.dir_cache.items():
               UpperCAmelCase__							: Optional[int] 							=						PurePosixPath(p.strip("/"  )  )
               UpperCAmelCase__							: Dict 							=						p.parent
               if root == path:
                    UpperCAmelCase__							: Tuple 							=						f
          UpperCAmelCase__							: List[Any] 							=						list(paths.values()  )
          if detail:
               return out
          else:
               return sorted(f["name"] for f in out  )



