
'''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 						__UpperCAmelCase      (					_lowerCamelCase						,   unittest.TestCase						):
							__lowercase      		=       BertJapaneseTokenizer
							__lowercase      		=       False
							__lowercase      		=       True


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								super().setUp()

								_snake_case   						=		[
								    '[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',
								    '、',
								    '##、',
								    '。',
								    '##。',
								]

								_snake_case   						=		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  lowerCamelCase				(       self    ,   lowerCAmelCase_  ):





								"""simple docstring"""






								_snake_case   						=		'こんにちは、世界。 \nこんばんは、世界。'
								_snake_case   						=		'こんにちは 、 世界 。 こんばんは 、 世界 。'
								return input_text, output_text


							def  lowerCamelCase				(       self    ,   lowerCAmelCase_  ):





								"""simple docstring"""






								_snake_case						, _snake_case   						=		self.get_input_output_texts(lowerCAmelCase_  )
								_snake_case   						=		tokenizer.encode(lowerCAmelCase_    ,   add_special_tokens=lowerCAmelCase_  )
								_snake_case   						=		tokenizer.decode(lowerCAmelCase_    ,   clean_up_tokenization_spaces=lowerCAmelCase_  )
								return text, ids


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								pass  # TODO add if relevant


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								pass  # TODO add if relevant


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								pass  # TODO add if relevant


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer_class(self.vocab_file  )

								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer_class(self.vocab_file    ,   word_tokenizer_type='mecab'  )
								self.assertIsNotNone(lowerCAmelCase_  )

								_snake_case   						=		'こんにちは、世界。\nこんばんは、世界。'
								_snake_case   						=		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]  )

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

								with open(lowerCAmelCase_    ,   'rb'  ) as handle:
									_snake_case   						=		pickle.load(lowerCAmelCase_  )

								_snake_case   						=		tokenizer_new.tokenize(lowerCAmelCase_  )

								self.assertListEqual(lowerCAmelCase_    ,   lowerCAmelCase_  )


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								try:
									_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								try:
									_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								try:
									_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer_class(self.vocab_file    ,   word_tokenizer_type='sudachi'  )
								self.assertIsNotNone(lowerCAmelCase_  )

								_snake_case   						=		'こんにちは、世界。\nこんばんは、世界。'
								_snake_case   						=		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]  )

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

								with open(lowerCAmelCase_    ,   'rb'  ) as handle:
									_snake_case   						=		pickle.load(lowerCAmelCase_  )

								_snake_case   						=		tokenizer_new.tokenize(lowerCAmelCase_  )

								self.assertListEqual(lowerCAmelCase_    ,   lowerCAmelCase_  )


							@require_sudachi
							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer_class(self.vocab_file    ,   word_tokenizer_type='jumanpp'  )
								self.assertIsNotNone(lowerCAmelCase_  )

								_snake_case   						=		'こんにちは、世界。\nこんばんは、世界。'
								_snake_case   						=		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]  )

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

								with open(lowerCAmelCase_    ,   'rb'  ) as handle:
									_snake_case   						=		pickle.load(lowerCAmelCase_  )

								_snake_case   						=		tokenizer_new.tokenize(lowerCAmelCase_  )

								self.assertListEqual(lowerCAmelCase_    ,   lowerCAmelCase_  )


							@require_jumanpp
							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		['[UNK]', '[CLS]', '[SEP]', 'こんにちは', 'こん', 'にちは', 'ばんは', '##こん', '##にちは', '##ばんは']

								_snake_case   						=		{}
								for i, token in enumerate(lowerCAmelCase_  ):
									_snake_case   						=		i
								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		BertJapaneseTokenizer.from_pretrained('nlp-waseda/roberta-base-japanese-with-auto-jumanpp'  )
								_snake_case   						=		tokenizer.subword_tokenizer

								_snake_case   						=		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', '▁。']  )

								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese'  )

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

								_snake_case   						=		tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_  )
								_snake_case   						=		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 						__UpperCAmelCase      (					_lowerCamelCase						,   unittest.TestCase						):
							__lowercase      		=       BertJapaneseTokenizer
							__lowercase      		=       False


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								super().setUp()

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

								_snake_case   						=		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  lowerCamelCase				(       self    ,   **lowerCAmelCase_  ):





								"""simple docstring"""






								return BertJapaneseTokenizer.from_pretrained(self.tmpdirname    ,   subword_tokenizer_type='character'    ,   **lowerCAmelCase_  )


							def  lowerCamelCase				(       self    ,   lowerCAmelCase_  ):





								"""simple docstring"""






								_snake_case   						=		'こんにちは、世界。 \nこんばんは、世界。'
								_snake_case   						=		'こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。'
								return input_text, output_text


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								pass  # TODO add if relevant


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								pass  # TODO add if relevant


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								pass  # TODO add if relevant


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer_class(self.vocab_file    ,   subword_tokenizer_type='character'  )

								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






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

								_snake_case   						=		{}
								for i, token in enumerate(lowerCAmelCase_  ):
									_snake_case   						=		i
								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese-char'  )

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

								_snake_case   						=		tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_  )
								_snake_case   						=		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 						__UpperCAmelCase      (					unittest.TestCase						):


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		'cl-tohoku/bert-base-japanese'
								_snake_case   						=		AutoTokenizer.from_pretrained(lowerCAmelCase_  )
								self.assertIsInstance(lowerCAmelCase_    ,   lowerCAmelCase_  )


class 						__UpperCAmelCase      (					unittest.TestCase						):


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		'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.'  )  )
								_snake_case   						=		'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 			UpperCamelCase(  ):
		lowerCAmelCase_			:     List[str]									= 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=__UpperCamelCase     ,default=1     ,help='''Number of TPU cores to use (1 or 8).''' )

		# positional
		parser.add_argument(
		    '''training_script'''     ,type=__UpperCamelCase     ,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=__UpperCamelCase )

		return parser.parse_args()


def 			UpperCamelCase(  ):
		lowerCAmelCase_			:     str									= parse_args()

		# Import training_script as a module.
		lowerCAmelCase_			:     str									= Path(args.training_script )
		sys.path.append(str(script_fpath.parent.resolve() ) )
		lowerCAmelCase_			:     Tuple									= script_fpath.stem
		lowerCAmelCase_			:     Union[str, Any]									= importlib.import_module(__UpperCamelCase )

		# Patch sys.argv
		lowerCAmelCase_			:     Optional[int]									= [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()





