





'''simple docstring'''


import os
import pickle
import unittest

from transformers import AutoTokenizer
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.models.bert_japanese.tokenization_bert_japanese import (
    VOCAB_FILES_NAMES,
    BertJapaneseTokenizer,
    CharacterTokenizer,
    JumanppTokenizer,
    MecabTokenizer,
    SudachiTokenizer,
    WordpieceTokenizer,
)
from transformers.testing_utils import custom_tokenizers, require_jumanpp, require_sudachi

from ...test_tokenization_common import TokenizerTesterMixin

@custom_tokenizers
class  lowerCAmelCase_		(		__magic_name__    ,unittest.TestCase		):
 __lowerCamelCase    :				Union[str, Any]								=       BertJapaneseTokenizer
 __lowerCamelCase    :				List[Any]								=       False
 __lowerCamelCase    :				Any								=       True




 def 				_snake_case (						self		)     ->				List[Any]:
     super().setUp()

     _lowerCAmelCase						      =   [
         "[UNK]",
         "[CLS]",
         "[SEP]",
         "こんにちは",
         "こん",
         "にちは",
         "ばんは",
         "##こん",
         "##にちは",
         "##ばんは",
         "世界",
         "##世界",
         "、",
         "##、",
         "。",
         "##。",
     ]

     _lowerCAmelCase						      =   os.path.join(self.tmpdirname      ,  VOCAB_FILES_NAMES["vocab_file"]		)
     with open(self.vocab_file      ,  "w"      ,  encoding="utf-8"		) as vocab_writer:
         vocab_writer.write("".join([x + "\n" for x in vocab_tokens]		)		)




 def 				_snake_case (						self      ,  _lowerCAmelCase		)     ->				int:
     _lowerCAmelCase						      =   "こんにちは、世界。 \nこんばんは、世界。"
     _lowerCAmelCase						      =   "こんにちは 、 世界 。 こんばんは 、 世界 。"
     return input_text, output_text




 def 				_snake_case (						self      ,  _lowerCAmelCase		)     ->				List[str]:
     _lowerCAmelCase      ,      _lowerCAmelCase						      =   self.get_input_output_texts(_lowerCAmelCase		)
     _lowerCAmelCase						      =   tokenizer.encode(_lowerCAmelCase      ,  add_special_tokens=_lowerCAmelCase		)
     _lowerCAmelCase						      =   tokenizer.decode(_lowerCAmelCase      ,  clean_up_tokenization_spaces=_lowerCAmelCase		)
     return text, ids




 def 				_snake_case (						self		)     ->				Tuple:
     pass  # TODO add if relevant




 def 				_snake_case (						self		)     ->				Optional[int]:
     pass  # TODO add if relevant




 def 				_snake_case (						self		)     ->				int:
     pass  # TODO add if relevant




 def 				_snake_case (						self		)     ->				Optional[int]:
     _lowerCAmelCase						      =   self.tokenizer_class(self.vocab_file		)

     _lowerCAmelCase						      =   tokenizer.tokenize("こんにちは、世界。\nこんばんは、世界。"		)
     self.assertListEqual(_lowerCAmelCase      ,  ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]		)
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase		)      ,  [3, 12, 10, 14, 4, 9, 12, 10, 14]		)




 def 				_snake_case (						self		)     ->				int:
     _lowerCAmelCase						      =   self.tokenizer_class(self.vocab_file      ,  word_tokenizer_type="mecab"		)
     self.assertIsNotNone(_lowerCAmelCase		)

     _lowerCAmelCase						      =   "こんにちは、世界。\nこんばんは、世界。"
     _lowerCAmelCase						      =   tokenizer.tokenize(_lowerCAmelCase		)
     self.assertListEqual(_lowerCAmelCase      ,  ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]		)
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase		)      ,  [3, 12, 10, 14, 4, 9, 12, 10, 14]		)

     _lowerCAmelCase						      =   os.path.join(self.tmpdirname      ,  "tokenizer.bin"		)
     with open(_lowerCAmelCase      ,  "wb"		) as handle:
         pickle.dump(_lowerCAmelCase      ,  _lowerCAmelCase		)

     with open(_lowerCAmelCase      ,  "rb"		) as handle:
         _lowerCAmelCase						      =   pickle.load(_lowerCAmelCase		)

     _lowerCAmelCase						      =   tokenizer_new.tokenize(_lowerCAmelCase		)

     self.assertListEqual(_lowerCAmelCase      ,  _lowerCAmelCase		)




 def 				_snake_case (						self		)     ->				Union[str, Any]:
     _lowerCAmelCase						      =   MecabTokenizer(mecab_dic="ipadic"		)

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["アップルストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"]      ,  )




 def 				_snake_case (						self		)     ->				Dict:
     try:
         _lowerCAmelCase						      =   MecabTokenizer(mecab_dic="unidic_lite"		)
     except ModuleNotFoundError:
         return

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"]      ,  )




 def 				_snake_case (						self		)     ->				Dict:
     try:
         _lowerCAmelCase						      =   MecabTokenizer(mecab_dic="unidic"		)
     except ModuleNotFoundError:
         return

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"]      ,  )




 def 				_snake_case (						self		)     ->				int:
     _lowerCAmelCase						      =   MecabTokenizer(do_lower_case=_lowerCAmelCase      ,  mecab_dic="ipadic"		)

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["アップルストア", "で", "iphone", "8", "が", "発売", "さ", "れ", "た", "。"]      ,  )




 def 				_snake_case (						self		)     ->				int:
     try:
         _lowerCAmelCase						      =   MecabTokenizer(
             do_lower_case=_lowerCAmelCase      ,  normalize_text=_lowerCAmelCase      ,  mecab_option="-d /usr/local/lib/mecab/dic/jumandic"		)
     except RuntimeError:
         # if dict doesn't exist in the system, previous code raises this error.
         return

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["ｱｯﾌﾟﾙストア", "で", "iPhone", "８", "が", "発売", "さ", "れた", "\u3000", "。"]      ,  )




 def 				_snake_case (						self		)     ->				int:
     _lowerCAmelCase						      =   MecabTokenizer(normalize_text=_lowerCAmelCase      ,  mecab_dic="ipadic"		)

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["ｱｯﾌﾟﾙストア", "で", "iPhone", "８", "が", "発売", "さ", "れ", "た", "　", "。"]      ,  )




 @require_sudachi
 def 				_snake_case (						self		)     ->				Union[str, Any]:
     _lowerCAmelCase						      =   self.tokenizer_class(self.vocab_file      ,  word_tokenizer_type="sudachi"		)
     self.assertIsNotNone(_lowerCAmelCase		)

     _lowerCAmelCase						      =   "こんにちは、世界。\nこんばんは、世界。"
     _lowerCAmelCase						      =   tokenizer.tokenize(_lowerCAmelCase		)
     self.assertListEqual(_lowerCAmelCase      ,  ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]		)
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase		)      ,  [3, 12, 10, 14, 4, 9, 12, 10, 14]		)

     _lowerCAmelCase						      =   os.path.join(self.tmpdirname      ,  "tokenizer.bin"		)
     with open(_lowerCAmelCase      ,  "wb"		) as handle:
         pickle.dump(_lowerCAmelCase      ,  _lowerCAmelCase		)

     with open(_lowerCAmelCase      ,  "rb"		) as handle:
         _lowerCAmelCase						      =   pickle.load(_lowerCAmelCase		)

     _lowerCAmelCase						      =   tokenizer_new.tokenize(_lowerCAmelCase		)

     self.assertListEqual(_lowerCAmelCase      ,  _lowerCAmelCase		)




 @require_sudachi
 def 				_snake_case (						self		)     ->				str:
     _lowerCAmelCase						      =   SudachiTokenizer(sudachi_dict_type="core"		)

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  [" ", "\t", "アップル", "ストア", "で", "iPhone", "8", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", " ", "。", " ", " "]      ,  )




 @require_sudachi
 def 				_snake_case (						self		)     ->				Dict:
     _lowerCAmelCase						      =   SudachiTokenizer(sudachi_dict_type="core"      ,  sudachi_split_mode="A"		)

     self.assertListEqual(tokenizer.tokenize("外国人参政権"		)      ,  ["外国", "人", "参政", "権"]		)




 @require_sudachi
 def 				_snake_case (						self		)     ->				str:
     _lowerCAmelCase						      =   SudachiTokenizer(sudachi_dict_type="core"      ,  sudachi_split_mode="B"		)

     self.assertListEqual(tokenizer.tokenize("外国人参政権"		)      ,  ["外国人", "参政権"]		)




 @require_sudachi
 def 				_snake_case (						self		)     ->				List[Any]:
     _lowerCAmelCase						      =   SudachiTokenizer(sudachi_dict_type="core"      ,  sudachi_split_mode="C"		)

     self.assertListEqual(tokenizer.tokenize("外国人参政権"		)      ,  ["外国人参政権"]		)




 @require_sudachi
 def 				_snake_case (						self		)     ->				Any:
     _lowerCAmelCase						      =   SudachiTokenizer(do_lower_case=_lowerCAmelCase      ,  sudachi_dict_type="core"		)

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  [" ", "\t", "アップル", "ストア", "で", "iphone", "8", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", " ", "。", " ", " "]      ,  )




 @require_sudachi
 def 				_snake_case (						self		)     ->				Optional[int]:
     _lowerCAmelCase						      =   SudachiTokenizer(normalize_text=_lowerCAmelCase      ,  sudachi_dict_type="core"		)

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  [" ", "\t", "ｱｯﾌﾟﾙ", "ストア", "で", "iPhone", "８", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", "\u3000", "。", " ", " "]      ,  )




 @require_sudachi
 def 				_snake_case (						self		)     ->				List[str]:
     _lowerCAmelCase						      =   SudachiTokenizer(trim_whitespace=_lowerCAmelCase      ,  sudachi_dict_type="core"		)

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"]      ,  )




 @require_jumanpp
 def 				_snake_case (						self		)     ->				Any:
     _lowerCAmelCase						      =   self.tokenizer_class(self.vocab_file      ,  word_tokenizer_type="jumanpp"		)
     self.assertIsNotNone(_lowerCAmelCase		)

     _lowerCAmelCase						      =   "こんにちは、世界。\nこんばんは、世界。"
     _lowerCAmelCase						      =   tokenizer.tokenize(_lowerCAmelCase		)
     self.assertListEqual(_lowerCAmelCase      ,  ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]		)
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase		)      ,  [3, 12, 10, 14, 4, 9, 12, 10, 14]		)

     _lowerCAmelCase						      =   os.path.join(self.tmpdirname      ,  "tokenizer.bin"		)
     with open(_lowerCAmelCase      ,  "wb"		) as handle:
         pickle.dump(_lowerCAmelCase      ,  _lowerCAmelCase		)

     with open(_lowerCAmelCase      ,  "rb"		) as handle:
         _lowerCAmelCase						      =   pickle.load(_lowerCAmelCase		)

     _lowerCAmelCase						      =   tokenizer_new.tokenize(_lowerCAmelCase		)

     self.assertListEqual(_lowerCAmelCase      ,  _lowerCAmelCase		)




 @require_jumanpp
 def 				_snake_case (						self		)     ->				Optional[int]:
     _lowerCAmelCase						      =   JumanppTokenizer()

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["アップル", "ストア", "で", "iPhone", "8", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]      ,  )




 @require_jumanpp
 def 				_snake_case (						self		)     ->				str:
     _lowerCAmelCase						      =   JumanppTokenizer(do_lower_case=_lowerCAmelCase		)

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["アップル", "ストア", "で", "iphone", "8", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]      ,  )




 @require_jumanpp
 def 				_snake_case (						self		)     ->				Tuple:
     _lowerCAmelCase						      =   JumanppTokenizer(normalize_text=_lowerCAmelCase		)

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["ｱ", "ｯ", "ﾌ", "ﾟ", "ﾙ", "ストア", "で", "iPhone", "８", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]      ,  )




 @require_jumanpp
 def 				_snake_case (						self		)     ->				Optional[Any]:
     _lowerCAmelCase						      =   JumanppTokenizer(trim_whitespace=_lowerCAmelCase		)

     self.assertListEqual(
         tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "		)      ,  ["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れた", "。"]      ,  )




 @require_jumanpp
 def 				_snake_case (						self		)     ->				Union[str, Any]:
     _lowerCAmelCase						      =   JumanppTokenizer()

     self.assertListEqual(
         tokenizer.tokenize("ありがとうございますm(_ _)ｍ見つけるのが大変です。"		)      ,  ["ありがとう", "ございます", "m(_ _)m", "見つける", "の", "が", "大変です", "。"]      ,  )




 def 				_snake_case (						self		)     ->				Union[str, Any]:
     _lowerCAmelCase						      =   ["[UNK]", "[CLS]", "[SEP]", "こんにちは", "こん", "にちは", "ばんは", "##こん", "##にちは", "##ばんは"]

     _lowerCAmelCase						      =   {}
     for i, token in enumerate(_lowerCAmelCase		):
         _lowerCAmelCase						      =   i
     _lowerCAmelCase						      =   WordpieceTokenizer(vocab=_lowerCAmelCase      ,  unk_token="[UNK]"		)

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

     self.assertListEqual(tokenizer.tokenize("こんにちは"		)      ,  ["こんにちは"]		)

     self.assertListEqual(tokenizer.tokenize("こんばんは"		)      ,  ["こん", "##ばんは"]		)

     self.assertListEqual(tokenizer.tokenize("こんばんは こんばんにちは こんにちは"		)      ,  ["こん", "##ばんは", "[UNK]", "こんにちは"]		)




 def 				_snake_case (						self		)     ->				Optional[Any]:
     _lowerCAmelCase						      =   BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp"		)
     _lowerCAmelCase						      =   tokenizer.subword_tokenizer

     _lowerCAmelCase						      =   subword_tokenizer.tokenize("国境 の 長い トンネル を 抜ける と 雪国 であった 。"		)
     self.assertListEqual(_lowerCAmelCase      ,  ["▁国境", "▁の", "▁長い", "▁トンネル", "▁を", "▁抜ける", "▁と", "▁雪", "国", "▁であった", "▁。"]		)

     _lowerCAmelCase						      =   subword_tokenizer.tokenize("こんばんは こんばん にち は こんにちは"		)
     self.assertListEqual(_lowerCAmelCase      ,  ["▁こん", "ばん", "は", "▁こん", "ばん", "▁に", "ち", "▁は", "▁こんにちは"]		)





 def 				_snake_case (						self		)     ->				List[Any]:
     _lowerCAmelCase						      =   self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese"		)

     _lowerCAmelCase						      =   tokenizer.encode("ありがとう。"      ,  add_special_tokens=_lowerCAmelCase		)
     _lowerCAmelCase						      =   tokenizer.encode("どういたしまして。"      ,  add_special_tokens=_lowerCAmelCase		)

     _lowerCAmelCase						      =   tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase		)
     _lowerCAmelCase						      =   tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase      ,  _lowerCAmelCase		)

     # 2 is for "[CLS]", 3 is for "[SEP]"
     assert encoded_sentence == [2] + text + [3]
     assert encoded_pair == [2] + text + [3] + text_a + [3]







@custom_tokenizers
class  lowerCAmelCase_		(		__magic_name__    ,unittest.TestCase		):
 __lowerCamelCase    :				Dict								=       BertJapaneseTokenizer
 __lowerCamelCase    :				Optional[int]								=       False




 def 				_snake_case (						self		)     ->				str:
     super().setUp()

     _lowerCAmelCase						      =   ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

     _lowerCAmelCase						      =   os.path.join(self.tmpdirname      ,  VOCAB_FILES_NAMES["vocab_file"]		)
     with open(self.vocab_file      ,  "w"      ,  encoding="utf-8"		) as vocab_writer:
         vocab_writer.write("".join([x + "\n" for x in vocab_tokens]		)		)




 def 				_snake_case (						self      ,  **_lowerCAmelCase		)     ->				List[Any]:
     return BertJapaneseTokenizer.from_pretrained(self.tmpdirname      ,  subword_tokenizer_type="character"      ,  **_lowerCAmelCase		)




 def 				_snake_case (						self      ,  _lowerCAmelCase		)     ->				Optional[Any]:
     _lowerCAmelCase						      =   "こんにちは、世界。 \nこんばんは、世界。"
     _lowerCAmelCase						      =   "こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"
     return input_text, output_text




 def 				_snake_case (						self		)     ->				int:
     pass  # TODO add if relevant




 def 				_snake_case (						self		)     ->				List[str]:
     pass  # TODO add if relevant




 def 				_snake_case (						self		)     ->				Optional[int]:
     pass  # TODO add if relevant




 def 				_snake_case (						self		)     ->				Any:
     _lowerCAmelCase						      =   self.tokenizer_class(self.vocab_file      ,  subword_tokenizer_type="character"		)

     _lowerCAmelCase						      =   tokenizer.tokenize("こんにちは、世界。 \nこんばんは、世界。"		)
     self.assertListEqual(
         _lowerCAmelCase      ,  ["こ", "ん", "に", "ち", "は", "、", "世", "界", "。", "こ", "ん", "ば", "ん", "は", "、", "世", "界", "。"]		)
     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(_lowerCAmelCase		)      ,  [3, 4, 5, 6, 7, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12]		)




 def 				_snake_case (						self		)     ->				Optional[Any]:
     _lowerCAmelCase						      =   ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

     _lowerCAmelCase						      =   {}
     for i, token in enumerate(_lowerCAmelCase		):
         _lowerCAmelCase						      =   i
     _lowerCAmelCase						      =   CharacterTokenizer(vocab=_lowerCAmelCase      ,  unk_token="[UNK]"		)

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

     self.assertListEqual(tokenizer.tokenize("こんにちは"		)      ,  ["こ", "ん", "に", "ち", "は"]		)

     self.assertListEqual(tokenizer.tokenize("こんにちほ"		)      ,  ["こ", "ん", "に", "ち", "[UNK]"]		)





 def 				_snake_case (						self		)     ->				Tuple:
     _lowerCAmelCase						      =   self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char"		)

     _lowerCAmelCase						      =   tokenizer.encode("ありがとう。"      ,  add_special_tokens=_lowerCAmelCase		)
     _lowerCAmelCase						      =   tokenizer.encode("どういたしまして。"      ,  add_special_tokens=_lowerCAmelCase		)

     _lowerCAmelCase						      =   tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase		)
     _lowerCAmelCase						      =   tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase      ,  _lowerCAmelCase		)

     # 2 is for "[CLS]", 3 is for "[SEP]"
     assert encoded_sentence == [2] + text + [3]
     assert encoded_pair == [2] + text + [3] + text_a + [3]







@custom_tokenizers
class  lowerCAmelCase_		(		unittest.TestCase		):




 def 				_snake_case (						self		)     ->				Union[str, Any]:
     _lowerCAmelCase						      =   "cl-tohoku/bert-base-japanese"
     _lowerCAmelCase						      =   AutoTokenizer.from_pretrained(_lowerCAmelCase		)
     self.assertIsInstance(_lowerCAmelCase      ,  _lowerCAmelCase		)







class  lowerCAmelCase_		(		unittest.TestCase		):




 def 				_snake_case (						self		)     ->				List[Any]:
     _lowerCAmelCase						      =   "cl-tohoku/bert-base-japanese"
     with self.assertLogs("transformers"      ,  level="WARNING"		) as cm:
         BertTokenizer.from_pretrained(_lowerCAmelCase		)
         self.assertTrue(
             cm.records[0].message.startswith(
                 "The tokenizer class you load from this checkpoint is not the same type as the class this function"
                 " is called from."		)		)
     _lowerCAmelCase						      =   "bert-base-cased"
     with self.assertLogs("transformers"      ,  level="WARNING"		) as cm:
         BertJapaneseTokenizer.from_pretrained(_lowerCAmelCase		)
         self.assertTrue(
             cm.records[0].message.startswith(
                 "The tokenizer class you load from this checkpoint is not the same type as the class this function"
                 " is called from."		)		)




import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp

def  __snake_case							(	):







				'''simple docstring'''


				lowercase         =      ArgumentParser(
				    description=(
				        "PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes"
				    )						)

				# Optional arguments for the launch helper
				parser.add_argument("--num_cores"		,    type=__magic_name__		,    default=1		,    help="Number of TPU cores to use (1 or 8)."						)

				# positional
				parser.add_argument(
				    "training_script"		,    type=__magic_name__		,    help=(
				        "The full path to the single TPU training "
				        "program/script to be launched in parallel, "
				        "followed by all the arguments for the "
				        "training script"
				    )		,    )

				# rest from the training program
				parser.add_argument("training_script_args"		,    nargs=__magic_name__						)

				return parser.parse_args()

def  __snake_case							(	):







				'''simple docstring'''


				lowercase         =      parse_args()

				# Import training_script as a module.
				lowercase         =      Path(args.training_script						)
				sys.path.append(str(script_fpath.parent.resolve()						)						)
				lowercase         =      script_fpath.stem
				lowercase         =      importlib.import_module(__magic_name__						)

				# Patch sys.argv
				lowercase         =      [args.training_script] + args.training_script_args + ["--tpu_num_cores", str(args.num_cores						)]

				xmp.spawn(mod._mp_fn		,    args=()		,    nprocs=args.num_cores						)


if __name__ == "__main__":
						main()
