

'''simple docstring'''







import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class        A__   (   _snake_case    ,    unittest.TestCase      ):
    lowercase						       =		RoCBertTokenizer
    lowercase						       =		None
    lowercase						       =		False
    lowercase						       =		True
    lowercase						       =		filter_non_english



    def        snake_case_      (       self							)    ->   Optional[int]:





           '''simple docstring'''
           super().setUp()

           A_						       =   ["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
           A_						       =   {}
           A_						       =   {}
           for i, value in enumerate(UpperCamelCase__							):
                  A_						       =   i
                  A_						       =   i
           A_						       =   os.path.join(self.tmpdirname		,					VOCAB_FILES_NAMES["""vocab_file"""]							)
           A_						       =   os.path.join(self.tmpdirname		,					VOCAB_FILES_NAMES["""word_shape_file"""]							)
           A_						       =   os.path.join(self.tmpdirname		,					VOCAB_FILES_NAMES["""word_pronunciation_file"""]							)
           with open(self.vocab_file		,					"""w"""		,					encoding="""utf-8"""							) as vocab_writer:
                  vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]							)							)
           with open(self.word_shape_file		,					"""w"""		,					encoding="""utf-8"""							) as word_shape_writer:
                  json.dump(UpperCamelCase__		,					UpperCamelCase__		,					ensure_ascii=UpperCamelCase__							)
           with open(self.word_pronunciation_file		,					"""w"""		,					encoding="""utf-8"""							) as word_pronunciation_writer:
                  json.dump(UpperCamelCase__		,					UpperCamelCase__		,					ensure_ascii=UpperCamelCase__							)



    def        snake_case_      (       self							)    ->   List[Any]:





           '''simple docstring'''
           A_						       =   self.tokenizer_class(self.vocab_file		,					self.word_shape_file		,					self.word_pronunciation_file							)

           A_						       =   tokenizer.tokenize("""你好[SEP]你是谁"""							)
           self.assertListEqual(UpperCamelCase__		,					["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""]							)
           self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__							)		,					[5, 6, 2, 5, 7, 8]							)
           self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(UpperCamelCase__							)		,					[5, 6, 2, 5, 7, 8]							)
           self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase__							)		,					[5, 6, 2, 5, 7, 8]							)



    def        snake_case_      (       self							)    ->   Dict:





           '''simple docstring'''
           A_						       =   RoCBertBasicTokenizer()

           self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""							)		,					["""ah""", """\u535A""", """\u63A8""", """zz"""]							)



    def        snake_case_      (       self							)    ->   List[str]:





           '''simple docstring'''
           A_						       =   RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__							)

           self.assertListEqual(
               tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """							)		,					["""hello""", """!""", """how""", """are""", """you""", """?"""]							)
           self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)		,					["""hello"""]							)



    def        snake_case_      (       self							)    ->   Tuple:





           '''simple docstring'''
           A_						       =   RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__		,					strip_accents=UpperCamelCase__							)

           self.assertListEqual(
               tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)		,					["""hällo""", """!""", """how""", """are""", """you""", """?"""]							)
           self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)		,					["""h\u00E9llo"""]							)



    def        snake_case_      (       self							)    ->   List[Any]:





           '''simple docstring'''
           A_						       =   RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__		,					strip_accents=UpperCamelCase__							)

           self.assertListEqual(
               tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)		,					["""hallo""", """!""", """how""", """are""", """you""", """?"""]							)
           self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)		,					["""hello"""]							)



    def        snake_case_      (       self							)    ->   Dict:





           '''simple docstring'''
           A_						       =   RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__							)

           self.assertListEqual(
               tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)		,					["""hallo""", """!""", """how""", """are""", """you""", """?"""]							)
           self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)		,					["""hello"""]							)



    def        snake_case_      (       self							)    ->   Any:





           '''simple docstring'''
           A_						       =   RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__							)

           self.assertListEqual(
               tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """							)		,					["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)



    def        snake_case_      (       self							)    ->   List[str]:





           '''simple docstring'''
           A_						       =   RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__		,					strip_accents=UpperCamelCase__							)

           self.assertListEqual(
               tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)		,					["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)



    def        snake_case_      (       self							)    ->   Any:





           '''simple docstring'''
           A_						       =   RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__		,					strip_accents=UpperCamelCase__							)

           self.assertListEqual(
               tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)		,					["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)



    def        snake_case_      (       self							)    ->   Optional[int]:





           '''simple docstring'''
           A_						       =   RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__		,					never_split=["""[UNK]"""]							)

           self.assertListEqual(
               tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""							)		,					["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]							)



    def        snake_case_      (       self							)    ->   Dict:





           '''simple docstring'''
           A_						       =   ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

           A_						       =   {}
           for i, token in enumerate(UpperCamelCase__							):
                  A_						       =   i
           A_						       =   RoCBertWordpieceTokenizer(vocab=UpperCamelCase__		,					unk_token="""[UNK]"""							)

           self.assertListEqual(tokenizer.tokenize(""""""							)		,					[]							)

           self.assertListEqual(tokenizer.tokenize("""unwanted running"""							)		,					["""un""", """##want""", """##ed""", """runn""", """##ing"""]							)

           self.assertListEqual(tokenizer.tokenize("""unwantedX running"""							)		,					["""[UNK]""", """runn""", """##ing"""]							)



    def        snake_case_      (       self							)    ->   Any:





           '''simple docstring'''
           self.assertTrue(_is_whitespace(""" """							)							)
           self.assertTrue(_is_whitespace("""\t"""							)							)
           self.assertTrue(_is_whitespace("""\r"""							)							)
           self.assertTrue(_is_whitespace("""\n"""							)							)
           self.assertTrue(_is_whitespace("""\u00A0"""							)							)

           self.assertFalse(_is_whitespace("""A"""							)							)
           self.assertFalse(_is_whitespace("""-"""							)							)



    def        snake_case_      (       self							)    ->   str:





           '''simple docstring'''
           self.assertTrue(_is_control("""\u0005"""							)							)

           self.assertFalse(_is_control("""A"""							)							)
           self.assertFalse(_is_control(""" """							)							)
           self.assertFalse(_is_control("""\t"""							)							)
           self.assertFalse(_is_control("""\r"""							)							)



    def        snake_case_      (       self							)    ->   int:





           '''simple docstring'''
           self.assertTrue(_is_punctuation("""-"""							)							)
           self.assertTrue(_is_punctuation("""$"""							)							)
           self.assertTrue(_is_punctuation("""`"""							)							)
           self.assertTrue(_is_punctuation("""."""							)							)

           self.assertFalse(_is_punctuation("""A"""							)							)
           self.assertFalse(_is_punctuation(""" """							)							)



    def        snake_case_      (       self							)    ->   int:





           '''simple docstring'''
           A_						       =   self.get_tokenizer()

           # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
           self.assertListEqual([tokenizer.tokenize(UpperCamelCase__							) for t in ["""Test""", """\xad""", """test"""]]		,					[["""[UNK]"""], [], ["""[UNK]"""]]							)

           if self.test_rust_tokenizer:
                  A_						       =   self.get_rust_tokenizer()
                  self.assertListEqual(
                      [rust_tokenizer.tokenize(UpperCamelCase__							) for t in ["""Test""", """\xad""", """test"""]]		,					[["""[UNK]"""], [], ["""[UNK]"""]]							)



    def        snake_case_      (       self							)    ->   Union[str, Any]:





           '''simple docstring'''
           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
                         A_						       =   self.rust_tokenizer_class.from_pretrained(UpperCamelCase__		,					**UpperCamelCase__							)

                         A_						       =   f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
                         A_						       =   tokenizer_r.encode_plus(
                             UpperCamelCase__		,					return_attention_mask=UpperCamelCase__		,					return_token_type_ids=UpperCamelCase__		,					return_offsets_mapping=UpperCamelCase__		,					add_special_tokens=UpperCamelCase__		,					)

                         A_						       =   tokenizer_r.do_lower_case if hasattr(UpperCamelCase__		,					"""do_lower_case"""							) else False
                         A_						       =   (
                             [
                                 ((0, 0), tokenizer_r.cls_token),
                                 ((0, 1), """A"""),
                                 ((1, 2), ""","""),
                                 ((3, 5), """na"""),
                                 ((5, 6), """##ï"""),
                                 ((6, 8), """##ve"""),
                                 ((9, 15), tokenizer_r.mask_token),
                                 ((16, 21), """Allen"""),
                                 ((21, 23), """##NL"""),
                                 ((23, 24), """##P"""),
                                 ((25, 33), """sentence"""),
                                 ((33, 34), """."""),
                                 ((0, 0), tokenizer_r.sep_token),
                             ]
                             if not do_lower_case
                             else [
                                 ((0, 0), tokenizer_r.cls_token),
                                 ((0, 1), """a"""),
                                 ((1, 2), ""","""),
                                 ((3, 8), """naive"""),
                                 ((9, 15), tokenizer_r.mask_token),
                                 ((16, 21), """allen"""),
                                 ((21, 23), """##nl"""),
                                 ((23, 24), """##p"""),
                                 ((25, 33), """sentence"""),
                                 ((33, 34), """."""),
                                 ((0, 0), tokenizer_r.sep_token),
                             ]
                         )

                         self.assertEqual(
                             [e[1] for e in expected_results]		,					tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]							)							)
                         self.assertEqual([e[0] for e in expected_results]		,					tokens["""offset_mapping"""]							)



    def        snake_case_      (       self							)    ->   Dict:





           '''simple docstring'''
           A_						       =   ["""的""", """人""", """有"""]
           A_						       =   """""".join(UpperCamelCase__							)
           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
                         A_						       =   True
                         A_						       =   self.tokenizer_class.from_pretrained(UpperCamelCase__		,					**UpperCamelCase__							)
                         A_						       =   self.rust_tokenizer_class.from_pretrained(UpperCamelCase__		,					**UpperCamelCase__							)

                         A_						       =   tokenizer_p.encode(UpperCamelCase__		,					add_special_tokens=UpperCamelCase__							)
                         A_						       =   tokenizer_r.encode(UpperCamelCase__		,					add_special_tokens=UpperCamelCase__							)

                         A_						       =   tokenizer_r.convert_ids_to_tokens(UpperCamelCase__							)
                         A_						       =   tokenizer_p.convert_ids_to_tokens(UpperCamelCase__							)

                         # it is expected that each Chinese character is not preceded by "##"
                         self.assertListEqual(UpperCamelCase__		,					UpperCamelCase__							)
                         self.assertListEqual(UpperCamelCase__		,					UpperCamelCase__							)

                         A_						       =   False
                         A_						       =   self.rust_tokenizer_class.from_pretrained(UpperCamelCase__		,					**UpperCamelCase__							)
                         A_						       =   self.tokenizer_class.from_pretrained(UpperCamelCase__		,					**UpperCamelCase__							)

                         A_						       =   tokenizer_r.encode(UpperCamelCase__		,					add_special_tokens=UpperCamelCase__							)
                         A_						       =   tokenizer_p.encode(UpperCamelCase__		,					add_special_tokens=UpperCamelCase__							)

                         A_						       =   tokenizer_r.convert_ids_to_tokens(UpperCamelCase__							)
                         A_						       =   tokenizer_p.convert_ids_to_tokens(UpperCamelCase__							)

                         # it is expected that only the first Chinese character is not preceded by "##".
                         A_						       =   [
                             f'''##{token}''' if idx != 0 else token for idx, token in enumerate(UpperCamelCase__							)
                         ]
                         self.assertListEqual(UpperCamelCase__		,					UpperCamelCase__							)
                         self.assertListEqual(UpperCamelCase__		,					UpperCamelCase__							)



    @slow
    def        snake_case_      (       self							)    ->   Union[str, Any]:





           '''simple docstring'''
           A_						       =   self.tokenizer_class(self.vocab_file		,					self.word_shape_file		,					self.word_pronunciation_file							)

           A_						       =   tokenizer.encode("""你好"""		,					add_special_tokens=UpperCamelCase__							)
           A_						       =   tokenizer.encode("""你是谁"""		,					add_special_tokens=UpperCamelCase__							)

           A_						       =   tokenizer.build_inputs_with_special_tokens(UpperCamelCase__							)
           A_						       =   tokenizer.build_inputs_with_special_tokens(UpperCamelCase__		,					UpperCamelCase__							)

           assert encoded_sentence == [1] + text + [2]
           assert encoded_pair == [1] + text + [2] + text_a + [2]







    def        snake_case_      (       self							)    ->   int:





           '''simple docstring'''
           A_						       =   self.get_tokenizers(do_lower_case=UpperCamelCase__							)
           for tokenizer in tokenizers:
                  with self.subTest(f'''{tokenizer.__class__.__name__}'''							):
                         A_						       =   """你好，你是谁"""
                         A_						       =   tokenizer.tokenize(UpperCamelCase__							)
                         A_						       =   tokenizer.convert_tokens_to_ids(UpperCamelCase__							)
                         A_						       =   tokenizer.convert_tokens_to_shape_ids(UpperCamelCase__							)
                         A_						       =   tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase__							)
                         A_						       =   tokenizer.prepare_for_model(
                             UpperCamelCase__		,					UpperCamelCase__		,					UpperCamelCase__		,					add_special_tokens=UpperCamelCase__							)

                         A_						       =   tokenizer.encode_plus(UpperCamelCase__		,					add_special_tokens=UpperCamelCase__							)

                         self.assertEqual(UpperCamelCase__		,					UpperCamelCase__							)



'''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__					)
