



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 			lowerCamelCase__     (				_snake_case ,							unittest.TestCase):




		'''simple docstring'''



		snake_case_      =RoCBertTokenizer
		snake_case_      =None
		snake_case_      =False
		snake_case_      =True
		snake_case_      =filter_non_english



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

						"""simple docstring"""






						super().setUp()

						lowerCAmelCase__	:							Optional[Any]				=	['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''你''', '''好''', '''是''', '''谁''', '''a''', '''b''', '''c''', '''d''']
						lowerCAmelCase__	:							List[Any]				=	{}
						lowerCAmelCase__	:							Optional[Any]				=	{}
						for i, value in enumerate(UpperCamelCase__					):
										lowerCAmelCase__	:							Union[str, Any]				=	i
										lowerCAmelCase__	:							Dict				=	i
						lowerCAmelCase__	:							str				=	os.path.join(self.tmpdirname						,VOCAB_FILES_NAMES['''vocab_file''']					)
						lowerCAmelCase__	:							str				=	os.path.join(self.tmpdirname						,VOCAB_FILES_NAMES['''word_shape_file''']					)
						lowerCAmelCase__	:							str				=	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 						lowerCAmelCase__ (self					)	->     List[Any]:

						"""simple docstring"""






						lowerCAmelCase__	:							Union[str, Any]				=	self.tokenizer_class(self.vocab_file						,self.word_shape_file						,self.word_pronunciation_file					)

						lowerCAmelCase__	:							Optional[int]				=	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 						lowerCAmelCase__ (self					)	->     Dict:

						"""simple docstring"""






						lowerCAmelCase__	:							List[str]				=	RoCBertBasicTokenizer()

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



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

						"""simple docstring"""






						lowerCAmelCase__	:							Tuple				=	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 						lowerCAmelCase__ (self					)	->     Tuple:

						"""simple docstring"""






						lowerCAmelCase__	:							List[str]				=	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 						lowerCAmelCase__ (self					)	->     List[Any]:

						"""simple docstring"""






						lowerCAmelCase__	:							List[Any]				=	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 						lowerCAmelCase__ (self					)	->     Dict:

						"""simple docstring"""






						lowerCAmelCase__	:							str				=	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 						lowerCAmelCase__ (self					)	->     Any:

						"""simple docstring"""






						lowerCAmelCase__	:							int				=	RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__					)

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



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

						"""simple docstring"""






						lowerCAmelCase__	:							List[Any]				=	RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__						,strip_accents=UpperCamelCase__					)

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



		def 						lowerCAmelCase__ (self					)	->     Any:

						"""simple docstring"""






						lowerCAmelCase__	:							int				=	RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__						,strip_accents=UpperCamelCase__					)

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



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

						"""simple docstring"""






						lowerCAmelCase__	:							Tuple				=	RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__						,never_split=['''[UNK]''']					)

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



		def 						lowerCAmelCase__ (self					)	->     Dict:

						"""simple docstring"""






						lowerCAmelCase__	:							int				=	['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

						lowerCAmelCase__	:							List[Any]				=	{}
						for i, token in enumerate(UpperCamelCase__					):
										lowerCAmelCase__	:							int				=	i
						lowerCAmelCase__	:							Optional[Any]				=	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 						lowerCAmelCase__ (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 						lowerCAmelCase__ (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 						lowerCAmelCase__ (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 						lowerCAmelCase__ (self					)	->     int:

						"""simple docstring"""






						lowerCAmelCase__	:							Optional[int]				=	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:
										lowerCAmelCase__	:							Any				=	self.get_rust_tokenizer()
										self.assertListEqual(
										    [rust_tokenizer.tokenize(UpperCamelCase__					) for t in ['''Test''', '''\xad''', '''test''']]						,[['''[UNK]'''], [], ['''[UNK]''']]					)



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

						"""simple docstring"""






						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""					):
														lowerCAmelCase__	:							List[Any]				=	self.rust_tokenizer_class.from_pretrained(UpperCamelCase__						,**UpperCamelCase__					)

														lowerCAmelCase__	:							Optional[int]				=	f"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
														lowerCAmelCase__	:							str				=	tokenizer_r.encode_plus(
														    UpperCamelCase__						,return_attention_mask=UpperCamelCase__						,return_token_type_ids=UpperCamelCase__						,return_offsets_mapping=UpperCamelCase__						,add_special_tokens=UpperCamelCase__						,)

														lowerCAmelCase__	:							List[str]				=	tokenizer_r.do_lower_case if hasattr(UpperCamelCase__						,'''do_lower_case'''					) else False
														lowerCAmelCase__	:							Tuple				=	(
														    [
														        ((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 						lowerCAmelCase__ (self					)	->     Dict:

						"""simple docstring"""






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

														lowerCAmelCase__	:							List[Any]				=	tokenizer_p.encode(UpperCamelCase__						,add_special_tokens=UpperCamelCase__					)
														lowerCAmelCase__	:							Optional[int]				=	tokenizer_r.encode(UpperCamelCase__						,add_special_tokens=UpperCamelCase__					)

														lowerCAmelCase__	:							Dict				=	tokenizer_r.convert_ids_to_tokens(UpperCamelCase__					)
														lowerCAmelCase__	:							List[Any]				=	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__					)

														lowerCAmelCase__	:							List[Any]				=	False
														lowerCAmelCase__	:							str				=	self.rust_tokenizer_class.from_pretrained(UpperCamelCase__						,**UpperCamelCase__					)
														lowerCAmelCase__	:							Tuple				=	self.tokenizer_class.from_pretrained(UpperCamelCase__						,**UpperCamelCase__					)

														lowerCAmelCase__	:							int				=	tokenizer_r.encode(UpperCamelCase__						,add_special_tokens=UpperCamelCase__					)
														lowerCAmelCase__	:							Tuple				=	tokenizer_p.encode(UpperCamelCase__						,add_special_tokens=UpperCamelCase__					)

														lowerCAmelCase__	:							List[Any]				=	tokenizer_r.convert_ids_to_tokens(UpperCamelCase__					)
														lowerCAmelCase__	:							Tuple				=	tokenizer_p.convert_ids_to_tokens(UpperCamelCase__					)

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



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

						"""simple docstring"""






						lowerCAmelCase__	:							List[Any]				=	self.tokenizer_class(self.vocab_file						,self.word_shape_file						,self.word_pronunciation_file					)

						lowerCAmelCase__	:							Any				=	tokenizer.encode('''你好'''						,add_special_tokens=UpperCamelCase__					)
						lowerCAmelCase__	:							List[str]				=	tokenizer.encode('''你是谁'''						,add_special_tokens=UpperCamelCase__					)

						lowerCAmelCase__	:							int				=	tokenizer.build_inputs_with_special_tokens(UpperCamelCase__					)
						lowerCAmelCase__	:							Union[str, Any]				=	tokenizer.build_inputs_with_special_tokens(UpperCamelCase__						,UpperCamelCase__					)

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



		def 						lowerCAmelCase__ (self					)	->     int:

						"""simple docstring"""






						lowerCAmelCase__	:							Optional[Any]				=	self.get_tokenizers(do_lower_case=UpperCamelCase__					)
						for tokenizer in tokenizers:
										with self.subTest(f"""{tokenizer.__class__.__name__}"""					):
														lowerCAmelCase__	:							Dict				=	'''你好，你是谁'''
														lowerCAmelCase__	:							List[Any]				=	tokenizer.tokenize(UpperCamelCase__					)
														lowerCAmelCase__	:							List[str]				=	tokenizer.convert_tokens_to_ids(UpperCamelCase__					)
														lowerCAmelCase__	:							List[str]				=	tokenizer.convert_tokens_to_shape_ids(UpperCamelCase__					)
														lowerCAmelCase__	:							List[str]				=	tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase__					)
														lowerCAmelCase__	:							int				=	tokenizer.prepare_for_model(
														    UpperCamelCase__						,UpperCamelCase__						,UpperCamelCase__						,add_special_tokens=UpperCamelCase__					)

														lowerCAmelCase__	:							Tuple				=	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__					)
