



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:
							__snake_case							:						Union[str, Any]      =None

__snake_case							:						List[Any]      =logging.get_logger(__name__)

__snake_case							:						Union[str, Any]      ={'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

__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'
        ),
    },
}

__snake_case							:						str      ={
    'moussaKam/mbarthez': 1_0_2_4,
    'moussaKam/barthez': 1_0_2_4,
    'moussaKam/barthez-orangesum-title': 1_0_2_4,
}

__snake_case							:						Any      ='▁'



class 			lowerCamelCase__     (				_snake_case):




		'''simple docstring'''



		snake_case_      =VOCAB_FILES_NAMES
		snake_case_      =PRETRAINED_VOCAB_FILES_MAP
		snake_case_      =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		snake_case_      =["""input_ids""", """attention_mask"""]
		snake_case_      =BarthezTokenizer



		def __init__(self						,__lowerCamelCase=None						,__lowerCamelCase=None						,__lowerCamelCase="<s>"						,__lowerCamelCase="</s>"						,__lowerCamelCase="</s>"						,__lowerCamelCase="<s>"						,__lowerCamelCase="<unk>"						,__lowerCamelCase="<pad>"						,__lowerCamelCase="<mask>"						,**__lowerCamelCase						,)	->     Any:

						"""simple docstring"""






						lowerCAmelCase__	:							Optional[Any]				=	AddedToken(UpperCamelCase__						,lstrip=UpperCamelCase__						,rstrip=UpperCamelCase__					) if isinstance(UpperCamelCase__						,UpperCamelCase__					) else mask_token

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

						lowerCAmelCase__	:							List[str]				=	vocab_file
						lowerCAmelCase__	:							List[Any]				=	False if not self.vocab_file else True



		def 						lowerCAmelCase__ (self						,__lowerCamelCase						,__lowerCamelCase = None					)	->     List[int]:

						"""simple docstring"""






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



		def 						lowerCAmelCase__ (self						,__lowerCamelCase						,__lowerCamelCase = None					)	->     List[int]:

						"""simple docstring"""






						lowerCAmelCase__	:							List[Any]				=	[self.sep_token_id]
						lowerCAmelCase__	:							Optional[Any]				=	[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 						lowerCAmelCase__ (self						,__lowerCamelCase						,__lowerCamelCase = None					)	->     Tuple[str]:

						"""simple docstring"""






						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
						lowerCAmelCase__	:							Dict				=	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,)




'''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


__lowerCamelCase									=     '''Run commands across TPU VMs for initial setup before running `accelerate launch`.'''
def    UpperCAmelCase__     (   UpperCAmelCase__=None					)      ->      List[str]:
       if subparsers is not None:
              A_						       =   subparsers.add_parser("""tpu-config""",							description=_description					)
       else:
              A_						       =   argparse.ArgumentParser("""Accelerate tpu-config command""",							description=_description					)
       # Core arguments
       A_						       =   parser.add_argument_group(
           """Config Arguments""",							"""Arguments that can be configured through `accelerate config`."""					)
       config_args.add_argument(
           """--config_file""",							type=UpperCAmelCase__,							default=UpperCAmelCase__,							help="""Path to the config file to use for accelerate.""",							)
       config_args.add_argument(
           """--tpu_name""",							default=UpperCAmelCase__,							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=UpperCAmelCase__,							help="""The zone of the TPU to use. If not specified, will use the zone specified in the config file.""",							)
       A_						       =   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=UpperCAmelCase__,							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=UpperCAmelCase__					)
       return parser
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      List[Any]:
       A_						       =   None

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

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

       # Then send it to gcloud
       # Eventually try to use google-api-core to do this instead of subprocess
       A_						       =   ["""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(UpperCAmelCase__					)}'''					)
              return
       subprocess.run(UpperCAmelCase__					)
       print("""Successfully setup pod."""					)







def    UpperCAmelCase__     (   )      ->      int:
       A_						       =   tpu_command_parser()
       A_						       =   parser.parse_args()

       tpu_command_launcher(UpperCAmelCase__					)
