
"""simple docstring"""



# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


UpperCAmelCase__        =					"""Run commands across TPU VMs for initial setup before running `accelerate launch`."""
def    _UpperCAmelCase (					__lowerCamelCase  :			Dict=None						)	->   Tuple:






  if subparsers is not None:
    _snake_case   	=			subparsers.add_parser('''tpu-config'''					,   description=_description						)
  else:
    _snake_case   	=			argparse.ArgumentParser('''Accelerate tpu-config command'''					,   description=_description						)
  # Core arguments
  _snake_case   	=			parser.add_argument_group(
      '''Config Arguments'''					,   '''Arguments that can be configured through `accelerate config`.'''						)
  config_args.add_argument(
      '''--config_file'''					,   type=SCREAMING_SNAKE_CASE_					,   default=SCREAMING_SNAKE_CASE_					,   help='''Path to the config file to use for accelerate.'''					,   )
  config_args.add_argument(
      '''--tpu_name'''					,   default=SCREAMING_SNAKE_CASE_					,   help='''The name of the TPU to use. If not specified, will use the TPU specified in the config file.'''					,   )
  config_args.add_argument(
      '''--tpu_zone'''					,   default=SCREAMING_SNAKE_CASE_					,   help='''The zone of the TPU to use. If not specified, will use the zone specified in the config file.'''					,   )
  _snake_case   	=			parser.add_argument_group('''TPU Arguments'''					,   '''Arguments for options ran inside the TPU.'''						)
  pod_args.add_argument(
      '''--use_alpha'''					,   action='''store_true'''					,   help='''Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.'''					,   )
  pod_args.add_argument(
      '''--command_file'''					,   default=SCREAMING_SNAKE_CASE_					,   help='''The path to the file containing the commands to run on the pod on startup.'''					,   )
  pod_args.add_argument(
      '''--command'''					,   action='''append'''					,   nargs='''+'''					,   help='''A command to run on the pod. Can be passed multiple times.'''					,   )
  pod_args.add_argument(
      '''--install_accelerate'''					,   action='''store_true'''					,   help='''Whether to install accelerate on the pod. Defaults to False.'''					,   )
  pod_args.add_argument(
      '''--accelerate_version'''					,   default='''latest'''					,   help='''The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify \'dev\' to install from GitHub.'''					,   )
  pod_args.add_argument(
      '''--debug'''					,   action='''store_true'''					,   help='''If set, will print the command that would be run instead of running it.'''						)

  if subparsers is not None:
    parser.set_defaults(func=SCREAMING_SNAKE_CASE_						)
  return parser
def    _UpperCAmelCase (					__lowerCamelCase  :			str						)	->   int:
  _snake_case   	=			None

  # Get the default from the config file if it exists.
  if args.config_file is not None or os.path.isfile(SCREAMING_SNAKE_CASE_						):
    _snake_case   	=			load_config_from_file(args.config_file						)
    if not args.command_file and defaults.command_file is not None and not args.command:
      _snake_case   	=			defaults.command_file
    if not args.command and defaults.commands is not None:
      _snake_case   	=			defaults.commands
    if not args.tpu_name:
      _snake_case   	=			defaults.tpu_name
    if not args.tpu_zone:
      _snake_case   	=			defaults.tpu_zone
  if args.accelerate_version == "dev":
    _snake_case   	=			'''git+https://github.com/huggingface/accelerate.git'''
  elif args.accelerate_version == "latest":
    _snake_case   	=			'''accelerate -U'''
  elif isinstance(parse(args.accelerate_version						)					,   SCREAMING_SNAKE_CASE_						):
    _snake_case   	=			f'''accelerate=={args.accelerate_version}'''

  if not args.command_file and not args.command:
    raise ValueError('''You must specify either a command file or a command to run on the pod.'''						)

  if args.command_file:
    with open(args.command_file					,   '''r'''						) as f:
      _snake_case   	=			[f.read().splitlines()]

    # To turn list of lists into list of strings
  if isinstance(args.command[0]					,   SCREAMING_SNAKE_CASE_						):
    _snake_case   	=			[line for cmd in args.command for line in cmd]
  # Default to the shared folder and install accelerate
  _snake_case   	=			['''cd /usr/share''']
  if args.install_accelerate:
    new_cmd += [f'''pip install {args.accelerate_version}''']
  new_cmd += args.command
  _snake_case   	=			'''; '''.join(SCREAMING_SNAKE_CASE_						)

  # Then send it to gcloud
  # Eventually try to use google-api-core to do this instead of subprocess
  _snake_case   	=			['''gcloud''']
  if args.use_alpha:
    cmd += ["alpha"]
  cmd += [
      "compute",
      "tpus",
      "tpu-vm",
      "ssh",
      args.tpu_name,
      "--zone",
      args.tpu_zone,
      "--command",
      args.command,
      "--worker",
      "all",
  ]
  if args.debug:
    print(f'''Running {' '.join(SCREAMING_SNAKE_CASE_						)}'''						)
    return
  subprocess.run(SCREAMING_SNAKE_CASE_						)
  print('''Successfully setup pod.'''						)

def    _UpperCAmelCase (					)	->   Dict:
  _snake_case   	=			tpu_command_parser()
  _snake_case   	=			parser.parse_args()

  tpu_command_launcher(SCREAMING_SNAKE_CASE_						)






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

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


if is_sentencepiece_available():
 from .tokenization_barthez import BarthezTokenizer
else:
 SCREAMING_SNAKE_CASE		:Optional[Any]						=     None

SCREAMING_SNAKE_CASE		:List[str]						=     logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE		:int						=     {
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json"""
        ),
    },
}

SCREAMING_SNAKE_CASE		:List[str]						=     {
    """moussaKam/mbarthez""": 1024,
    """moussaKam/barthez""": 1024,
    """moussaKam/barthez-orangesum-title""": 1024,
}

SCREAMING_SNAKE_CASE		:Optional[Any]						=     """▁"""






class 						__magic_name__					(							snake_case				):
     UpperCamelCase_	:Dict										=      VOCAB_FILES_NAMES
     UpperCamelCase_	:Optional[int]										=      PRETRAINED_VOCAB_FILES_MAP
     UpperCamelCase_	:Any										=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCamelCase_	:Any										=      ["""input_ids""", """attention_mask"""]
     UpperCamelCase_	:List[Any]										=      BarthezTokenizer






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

         super().__init__(
             _lowercase		,						tokenizer_file=_lowercase		,						bos_token=_lowercase		,						eos_token=_lowercase		,						unk_token=_lowercase		,						sep_token=_lowercase		,						cls_token=_lowercase		,						pad_token=_lowercase		,						mask_token=_lowercase		,						**_lowercase		,						)

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






     def 	UpperCAmelCase_				(				self		,						_lowercase		,						_lowercase = None	)->     List[int]:

         if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         UpperCamelCase_			  =						[self.cls_token_id]
         UpperCamelCase_			  =						[self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep






     def 	UpperCAmelCase_				(				self		,						_lowercase		,						_lowercase = 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		,						_lowercase		,						_lowercase = 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(_lowercase	):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"	)
             return
         UpperCamelCase_			  =						os.path.join(
             _lowercase		,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)

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

         return (out_vocab_file,)
