






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
 from .tokenization_mbart import MBartTokenizer
else:
 snake_case__      :	Any       	=      None


snake_case__      :	int       	=      logging.get_logger(__name__)


snake_case__      :	Optional[int]       	=      {"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

snake_case__      :	List[Any]       	=      {
    """vocab_file""": {
        """facebook/mbart-large-en-ro""": (
            """https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model"""
        ),
        """facebook/mbart-large-cc25""": (
            """https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """facebook/mbart-large-en-ro""": """https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json""",
        """facebook/mbart-large-cc25""": """https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json""",
    },
}

snake_case__      :	Optional[int]       	=      {
    """facebook/mbart-large-en-ro""": 1_0_2_4,
    """facebook/mbart-large-cc25""": 1_0_2_4,
}

# fmt: off
snake_case__      :	Union[str, Any]       	=      ["""ar_AR""", """cs_CZ""", """de_DE""", """en_XX""", """es_XX""", """et_EE""", """fi_FI""", """fr_XX""", """gu_IN""", """hi_IN""", """it_IT""", """ja_XX""", """kk_KZ""", """ko_KR""", """lt_LT""", """lv_LV""", """my_MM""", """ne_NP""", """nl_XX""", """ro_RO""", """ru_RU""", """si_LK""", """tr_TR""", """vi_VN""", """zh_CN"""]


class 						_a       (  UpperCAmelCase__    ):






  """simple docstring"""





  A_						=   VOCAB_FILES_NAMES
  A_						=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A_						=   PRETRAINED_VOCAB_FILES_MAP
  A_						=   ["""input_ids""", """attention_mask"""]
  A_						=   MBartTokenizer

  A_						=   []
  A_						=   []




  def __init__(     self		,		_UpperCAmelCase=None		,		_UpperCAmelCase=None		,		_UpperCAmelCase="<s>"		,		_UpperCAmelCase="</s>"		,		_UpperCAmelCase="</s>"		,		_UpperCAmelCase="<s>"		,		_UpperCAmelCase="<unk>"		,		_UpperCAmelCase="<pad>"		,		_UpperCAmelCase="<mask>"		,		_UpperCAmelCase=None		,		_UpperCAmelCase=None		,		_UpperCAmelCase=None		,		**_UpperCAmelCase		,		)			-> Any:
     # Mask token behave like a normal word, i.e. include the space before it
     UpperCamelCase_									=     AddedToken(_UpperCAmelCase		,		lstrip=_UpperCAmelCase		,		rstrip=_UpperCAmelCase ) if isinstance(_UpperCAmelCase		,		_UpperCAmelCase ) else mask_token

     super().__init__(
         vocab_file=_UpperCAmelCase		,		tokenizer_file=_UpperCAmelCase		,		bos_token=_UpperCAmelCase		,		eos_token=_UpperCAmelCase		,		sep_token=_UpperCAmelCase		,		cls_token=_UpperCAmelCase		,		unk_token=_UpperCAmelCase		,		pad_token=_UpperCAmelCase		,		mask_token=_UpperCAmelCase		,		src_lang=_UpperCAmelCase		,		tgt_lang=_UpperCAmelCase		,		additional_special_tokens=_UpperCAmelCase		,		**_UpperCAmelCase		,		)

     UpperCamelCase_									=     vocab_file
     UpperCamelCase_									=     False if not self.vocab_file else True

     UpperCamelCase_									=     FAIRSEQ_LANGUAGE_CODES.copy()

     if additional_special_tokens is not None:
        # Only add those special tokens if they are not already there.
        _additional_special_tokens.extend(
            [t for t in additional_special_tokens if t not in _additional_special_tokens] )

     self.add_special_tokens({'additional_special_tokens': _additional_special_tokens} )
     UpperCamelCase_									=     {
         lang_code: self.convert_tokens_to_ids(_UpperCAmelCase ) for lang_code in FAIRSEQ_LANGUAGE_CODES
     }

     UpperCamelCase_									=     src_lang if src_lang is not None else 'en_XX'
     UpperCamelCase_									=     self.convert_tokens_to_ids(self._src_lang )
     UpperCamelCase_									=     tgt_lang
     self.set_src_lang_special_tokens(self._src_lang )




  @property
  def    _UpperCAmelCase     (     self )			-> str:
     return self._src_lang




  @src_lang.setter
  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> None:
     UpperCamelCase_									=     new_src_lang
     self.set_src_lang_special_tokens(self._src_lang )




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase		,		_UpperCAmelCase = None )			-> List[int]:
     if token_ids_a is None:
        return self.prefix_tokens + token_ids_a + self.suffix_tokens
     # We don't expect to process pairs, but leave the pair logic for API consistency
     return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase		,		_UpperCAmelCase = None )			-> List[int]:
     UpperCamelCase_									=     [self.sep_token_id]
     UpperCamelCase_									=     [self.cls_token_id]

     if token_ids_a is None:
        return len(cls + token_ids_a + sep ) * [0]
     return len(cls + token_ids_a + sep + sep + token_ids_a + sep ) * [0]




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase		,		_UpperCAmelCase		,		_UpperCAmelCase		,		_UpperCAmelCase		,		**_UpperCAmelCase )			-> List[str]:
     if src_lang is None or tgt_lang is None:
        raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model' )
     UpperCamelCase_									=     src_lang
     UpperCamelCase_									=     self(_UpperCAmelCase		,		add_special_tokens=_UpperCAmelCase		,		return_tensors=_UpperCAmelCase		,		**_UpperCAmelCase )
     UpperCamelCase_									=     self.convert_tokens_to_ids(_UpperCAmelCase )
     UpperCamelCase_									=     tgt_lang_id
     return inputs




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase		,		_UpperCAmelCase = "en_XX"		,		_UpperCAmelCase = None		,		_UpperCAmelCase = "ro_RO"		,		**_UpperCAmelCase		,		)			-> BatchEncoding:
     UpperCamelCase_									=     src_lang
     UpperCamelCase_									=     tgt_lang
     return super().prepare_seqaseq_batch(_UpperCAmelCase		,		_UpperCAmelCase		,		**_UpperCAmelCase )




  def    _UpperCAmelCase     (     self )			-> Any:
     return self.set_src_lang_special_tokens(self.src_lang )




  def    _UpperCAmelCase     (     self )			-> str:
     return self.set_tgt_lang_special_tokens(self.tgt_lang )




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> None:
     UpperCamelCase_									=     self.convert_tokens_to_ids(_UpperCAmelCase )
     UpperCamelCase_									=     []
     UpperCamelCase_									=     [self.eos_token_id, self.cur_lang_code]

     UpperCamelCase_									=     self.convert_ids_to_tokens(self.prefix_tokens )
     UpperCamelCase_									=     self.convert_ids_to_tokens(self.suffix_tokens )

     UpperCamelCase_									=     processors.TemplateProcessing(
         single=prefix_tokens_str + ['$A'] + suffix_tokens_str		,		pair=prefix_tokens_str + ['$A', '$B'] + suffix_tokens_str		,		special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str		,		self.prefix_tokens + self.suffix_tokens ) )		,		)




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> None:
     UpperCamelCase_									=     self.convert_tokens_to_ids(_UpperCAmelCase )
     UpperCamelCase_									=     []
     UpperCamelCase_									=     [self.eos_token_id, self.cur_lang_code]

     UpperCamelCase_									=     self.convert_ids_to_tokens(self.prefix_tokens )
     UpperCamelCase_									=     self.convert_ids_to_tokens(self.suffix_tokens )

     UpperCamelCase_									=     processors.TemplateProcessing(
         single=prefix_tokens_str + ['$A'] + suffix_tokens_str		,		pair=prefix_tokens_str + ['$A', '$B'] + suffix_tokens_str		,		special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str		,		self.prefix_tokens + self.suffix_tokens ) )		,		)




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase		,		_UpperCAmelCase = None )			-> Tuple[str]:
     if not self.can_save_slow_tokenizer:
        raise ValueError(
            'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
            'tokenizer.' )

     if not os.path.isdir(_UpperCAmelCase ):
        logger.error(f"""Vocabulary path ({save_directory}) should be a directory.""" )
        return
     UpperCamelCase_									=     os.path.join(
         _UpperCAmelCase		,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )

     if os.path.abspath(self.vocab_file ) != os.path.abspath(_UpperCAmelCase ):
        copyfile(self.vocab_file		,		_UpperCAmelCase )

     return (out_vocab_file,)













import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command


class 						_a       (  unittest.TestCase    ):






  """simple docstring"""





  A_						=   inspect.getfile(accelerate.test_utils    )
  A_						=   os.path.sep.join(mod_file.split(os.path.sep    )[:-1] + ["""scripts""", """test_cli.py"""]    )

  A_						=   ["""accelerate""", """launch"""]
  A_						=   Path.home() / """.cache/huggingface/accelerate"""
  A_						=   """default_config.yaml"""
  A_						=   config_folder / config_file
  A_						=   config_folder / """_default_config.yaml"""

  A_						=   Path("""tests/test_configs"""    )




  @classmethod
  def    _UpperCAmelCase     (     cls )			-> Union[str, Any]:
     if cls.config_path.is_file():
        cls.config_path.rename(cls.changed_path )




  @classmethod
  def    _UpperCAmelCase     (     cls )			-> List[str]:
     if cls.changed_path.is_file():
        cls.changed_path.rename(cls.config_path )




  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     UpperCamelCase_									=     self.base_cmd
     if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
        cmd += ["--multi_gpu"]
     execute_subprocess_async(cmd + [self.test_file_path]		,		env=os.environ.copy() )




  def    _UpperCAmelCase     (     self )			-> Optional[int]:
     for config in sorted(self.test_config_path.glob('**/*.yaml' ) ):
        with self.subTest(config_file=_UpperCAmelCase ):
           execute_subprocess_async(
               self.base_cmd + ['--config_file', str(_UpperCAmelCase ), self.test_file_path]		,		env=os.environ.copy() )




  def    _UpperCAmelCase     (     self )			-> Tuple:
     execute_subprocess_async(['accelerate', 'test']		,		env=os.environ.copy() )




class 						_a       (  unittest.TestCase    ):






  """simple docstring"""





  A_						=   """test-tpu"""
  A_						=   """us-central1-a"""
  A_						=   """ls"""
  A_						=   ["""accelerate""", """tpu-config"""]
  A_						=   """cd /usr/share"""
  A_						=   """tests/test_samples/test_command_file.sh"""
  A_						=   """Running gcloud compute tpus tpu-vm ssh"""




  def    _UpperCAmelCase     (     self )			-> Any:
     UpperCamelCase_									=     run_command(
         self.cmd
         + ['--command', self.command, '--tpu_zone', self.tpu_zone, '--tpu_name', self.tpu_name, '--debug']		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Any:
     UpperCamelCase_									=     run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/0_12_0.yaml',
             '--command',
             self.command,
             '--tpu_zone',
             self.tpu_zone,
             '--tpu_name',
             self.tpu_name,
             '--debug',
         ]		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Any:
     UpperCamelCase_									=     run_command(
         self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--debug']		,		return_stdout=_UpperCAmelCase )
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Tuple:
     UpperCamelCase_									=     run_command(
         self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--command', self.command, '--debug']		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     UpperCamelCase_									=     run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/latest.yaml',
             '--command',
             self.command,
             '--command',
             'echo "Hello World"',
             '--debug',
         ]		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo \"Hello World\" --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Dict:
     UpperCamelCase_									=     run_command(
         self.cmd
         + ['--config_file', 'tests/test_configs/latest.yaml', '--command_file', self.command_file, '--debug']		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Dict:
     UpperCamelCase_									=     run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/0_12_0.yaml',
             '--command_file',
             self.command_file,
             '--tpu_zone',
             self.tpu_zone,
             '--tpu_name',
             self.tpu_name,
             '--debug',
         ]		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> List[Any]:
     UpperCamelCase_									=     run_command(
         self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--install_accelerate', '--debug']		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo \"hello world\"; echo \"this is a second command\" --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     UpperCamelCase_									=     run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/latest.yaml',
             '--install_accelerate',
             '--accelerate_version',
             '12.0.0',
             '--debug',
         ]		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo \"hello world\"; echo \"this is a second command\" --worker all"""		,		_UpperCAmelCase		,		)





