



"""simple docstring"""





import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 			lowercase__			(      A,					unittest.TestCase    ):
							'''simple docstring'''







							_UpperCAmelCase      				=					GPTSanJapaneseTokenizer
							_UpperCAmelCase      				=					False
							_UpperCAmelCase      				=					{'''do_clean_text''': False, '''add_prefix_space''': False}






							def        lowerCamelCase_   (  self						)			->							List[str]:
									super().setUp()

									# fmt: off
									_UpperCAmelCase							 =		['こん', 'こんに', 'にちは', 'ばんは', '世界,㔺界', '、', '。', '<BR>', '<SP>', '<TAB>', '<URL>', '<EMAIL>', '<TEL>', '<DATE>', '<PRICE>', '<BLOCK>', '<KIGOU>', '<U2000U2BFF>', '<|emoji1|>', '<unk>', '<|bagoftoken|>', '<|endoftext|>']
									# fmt: on
									_UpperCAmelCase							 =		{'emoji': {'\ud83d\ude00': '<|emoji1|>'}, 'emoji_inv': {'<|emoji1|>': '\ud83d\ude00'}}  # 😀
									_UpperCAmelCase							 =		{'unk_token': '<unk>'}

									_UpperCAmelCase							 =		os.path.join(self.tmpdirname	,       VOCAB_FILES_NAMES['vocab_file']						)
									_UpperCAmelCase							 =		os.path.join(self.tmpdirname	,       VOCAB_FILES_NAMES['emoji_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.emoji_file	,       'w'						) as emoji_writer:
											emoji_writer.write(json.dumps(snake_case						)						)






							def        lowerCamelCase_   (  self	,       **snake_case						)			->							Tuple:
									kwargs.update(self.special_tokens_map						)
									return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname	,       **snake_case						)






							def        lowerCamelCase_   (  self	,       snake_case						)			->							List[Any]:
									_UpperCAmelCase							 =		'こんにちは、世界。 \nこんばんは、㔺界。😀'
									_UpperCAmelCase							 =		'こんにちは、世界。 \nこんばんは、世界。😀'
									return input_text, output_text






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






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






							def        lowerCamelCase_   (  self						)			->							Dict:
									pass  # TODO add if relevant






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






							def        lowerCamelCase_   (  self						)			->							List[str]:
									_UpperCAmelCase							 =		self.get_tokenizer()

									# Testing tokenization
									_UpperCAmelCase							 =		'こんにちは、世界。　こんばんは、㔺界。'
									_UpperCAmelCase							 =		['こん', 'にちは', '、', '世界', '。', '<SP>', 'こん', 'ばんは', '、', '㔺界', '。']
									_UpperCAmelCase							 =		tokenizer.tokenize(snake_case						)
									self.assertListEqual(snake_case	,       snake_case						)

									# Testing conversion to ids without special tokens
									_UpperCAmelCase							 =		[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
									_UpperCAmelCase							 =		tokenizer.convert_tokens_to_ids(snake_case						)
									self.assertListEqual(snake_case	,       snake_case						)

									# Testing conversion to ids with special tokens
									_UpperCAmelCase							 =		tokens + [tokenizer.unk_token]
									_UpperCAmelCase							 =		[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
									_UpperCAmelCase							 =		tokenizer.convert_tokens_to_ids(snake_case						)
									self.assertListEqual(snake_case	,       snake_case						)






							def        lowerCamelCase_   (  self						)			->							Optional[int]:
									_UpperCAmelCase							 =		self.get_tokenizer()

									# Testing tokenization
									_UpperCAmelCase							 =		'こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。'
									_UpperCAmelCase							 =		'こんにちは、、、、世界。こんばんは、、、、世界。'
									_UpperCAmelCase							 =		tokenizer.encode(snake_case						)
									_UpperCAmelCase							 =		tokenizer.decode(snake_case						)
									self.assertEqual(snake_case	,       snake_case						)






							@slow
							def        lowerCamelCase_   (  self						)			->							str:
									_UpperCAmelCase							 =		self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'						)

									# Testing tokenization
									_UpperCAmelCase							 =		'こんにちは、世界。'
									_UpperCAmelCase							 =		'こんばんは、㔺界。😀'
									_UpperCAmelCase							 =		'こんにちは、世界。こんばんは、世界。😀'
									_UpperCAmelCase							 =		tokenizer.encode(prefix_text + input_text						)
									_UpperCAmelCase							 =		tokenizer.encode(''	,       prefix_text=prefix_text + input_text						)
									_UpperCAmelCase							 =		tokenizer.encode(snake_case	,       prefix_text=snake_case						)
									_UpperCAmelCase							 =		tokenizer.decode(snake_case						)
									_UpperCAmelCase							 =		tokenizer.decode(snake_case						)
									_UpperCAmelCase							 =		tokenizer.decode(snake_case						)
									self.assertEqual(snake_case	,       snake_case						)
									self.assertEqual(snake_case	,       snake_case						)
									self.assertEqual(snake_case	,       snake_case						)






							@slow
							def        lowerCamelCase_   (  self						)			->							Any:
									_UpperCAmelCase							 =		self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'						)

									# Testing tokenization
									_UpperCAmelCase							 =		'こんにちは、世界。'
									_UpperCAmelCase							 =		'こんばんは、㔺界。😀'

									_UpperCAmelCase							 =		len(tokenizer.encode(snake_case						)						) - 2
									_UpperCAmelCase							 =		len(tokenizer.encode(snake_case						)						) - 2

									_UpperCAmelCase							 =		[1] + [0] * (len_prefix + len_text + 1)
									_UpperCAmelCase							 =		[1] * (len_prefix + len_text + 1) + [0]
									_UpperCAmelCase							 =		[1] + [1] * (len_prefix) + [0] * (len_text + 1)

									_UpperCAmelCase							 =		tokenizer(prefix_text + input_text						).token_type_ids
									_UpperCAmelCase							 =		tokenizer(''	,       prefix_text=prefix_text + input_text						).token_type_ids
									_UpperCAmelCase							 =		tokenizer(snake_case	,       prefix_text=snake_case						).token_type_ids
									self.assertListEqual(snake_case	,       snake_case						)
									self.assertListEqual(snake_case	,       snake_case						)
									self.assertListEqual(snake_case	,       snake_case						)






							@slow
							def        lowerCamelCase_   (  self						)			->							Optional[int]:
									_UpperCAmelCase							 =		self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'						)

									_UpperCAmelCase							 =		tokenizer.encode('あンいワ'						)
									_UpperCAmelCase							 =		tokenizer.encode(''	,       prefix_text='あンいワ'						)
									_UpperCAmelCase							 =		tokenizer.encode('いワ'	,       prefix_text='あン'						)

									self.assertEqual(tokenizer.decode(snake_case						)	,       tokenizer.decode(snake_case						)						)
									self.assertEqual(tokenizer.decode(snake_case						)	,       tokenizer.decode(snake_case						)						)
									self.assertNotEqual(snake_case	,       snake_case						)
									self.assertNotEqual(snake_case	,       snake_case						)
									self.assertEqual(x_token_a[1]	,       x_token_a[-1]						)  # SEG token
									self.assertEqual(x_token_a[1]	,       x_token_a[3]						)  # SEG token






							@slow
							def        lowerCamelCase_   (  self						)			->							int:
									_UpperCAmelCase							 =		self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'						)

									_UpperCAmelCase							 =		[['武田信玄', 'は、'], ['織田信長', 'の配下の、']]
									_UpperCAmelCase							 =		tokenizer(snake_case	,       padding=snake_case						)
									_UpperCAmelCase							 =		tokenizer.batch_encode_plus(snake_case	,       padding=snake_case						)

									# fmt: off
									_UpperCAmelCase							 =		[[35993, 8640, 25948, 35998, 30647, 35675, 35999, 35999], [35993, 10382, 9868, 35998, 30646, 9459, 30646, 35675]]
									_UpperCAmelCase							 =		[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
									_UpperCAmelCase							 =		[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
									# fmt: on
									self.assertListEqual(x_token.input_ids	,       snake_case						)
									self.assertListEqual(x_token.token_type_ids	,       snake_case						)
									self.assertListEqual(x_token.attention_mask	,       snake_case						)
									self.assertListEqual(x_token_a.input_ids	,       snake_case						)
									self.assertListEqual(x_token_a.token_type_ids	,       snake_case						)
									self.assertListEqual(x_token_a.attention_mask	,       snake_case						)






							def        lowerCamelCase_   (  self						)			->							List[str]:
									# Intentionally convert some words to accommodate character fluctuations unique to Japanese
									pass






							def        lowerCamelCase_   (  self						)			->							List[str]:
									# tokenizer has no padding token
									pass







"""simple docstring"""





import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
lowercase  							=					logging.getLogger(__name__)

if __name__ == "__main__":
					lowercase  							=					argparse.ArgumentParser(
					    description='''Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)'''
					)
					parser.add_argument(
					    '''--data_file''', type=str, default='''data/dump.bert-base-uncased.pickle''', help='''The binarized dataset.'''
					)
					parser.add_argument(
					    '''--token_counts_dump''', type=str, default='''data/token_counts.bert-base-uncased.pickle''', help='''The dump file.'''
					)
					parser.add_argument('''--vocab_size''', default=3_05_22, type=int)
					lowercase  							=					parser.parse_args()

					logger.info(F'''Loading data from {args.data_file}''')
					with open(args.data_file, '''rb''') as fp:
										lowercase  							=					pickle.load(fp)

					logger.info('''Counting occurrences for MLM.''')
					lowercase  							=					Counter()
					for tk_ids in data:
										counter.update(tk_ids)
					lowercase  							=					[0] * args.vocab_size
					for k, v in counter.items():
										lowercase  							=					v

					logger.info(F'''Dump to {args.token_counts_dump}''')
					with open(args.token_counts_dump, '''wb''') as handle:
										pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)


