


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     a		(_lowerCAmelCase					,    unittest.TestCase				):




							"""simple docstring"""


							__UpperCAmelCase   :							List[str]					  =  GPTSanJapaneseTokenizer
							__UpperCAmelCase   :							Dict					  =  False
							__UpperCAmelCase   :							int					  =  {"do_clean_text": False, "add_prefix_space": False}

							def    __snake_case (							self	:  Optional[int]    )     ->   Optional[Any]:
														super().setUp()

														# fmt: off
														__snake_case		:      List[str]										=       ["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
														__snake_case		:      Optional[int]										=       {"emoji": {"\ud83d\ude00": "<|emoji1|>"}, "emoji_inv": {"<|emoji1|>": "\ud83d\ude00"}}  # 😀
														__snake_case		:      Dict										=       {"unk_token": "<unk>"}

														__snake_case		:      Any										=       os.path.join(self.tmpdirname   ,     VOCAB_FILES_NAMES["vocab_file"]    )
														__snake_case		:      Tuple										=       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(lowerCamelCase    )    )

							def    __snake_case (							self	:  Optional[int]   ,     **lowerCamelCase	:  Optional[Any]    )     ->   int:
														kwargs.update(self.special_tokens_map    )
														return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname   ,     **lowerCamelCase    )

							def    __snake_case (							self	:  List[Any]   ,     lowerCamelCase	:  Union[str, Any]    )     ->   Union[str, Any]:
														__snake_case		:      int										=       "こんにちは、世界。 \nこんばんは、㔺界。😀"
														__snake_case		:      str										=       "こんにちは、世界。 \nこんばんは、世界。😀"
														return input_text, output_text

							def    __snake_case (							self	:  Optional[int]   ,     lowerCamelCase	:  Optional[int]    )     ->   List[str]:
														__snake_case			,      __snake_case		:      List[str]										=       self.get_input_output_texts(lowerCamelCase    )
														__snake_case		:      str										=       tokenizer.encode(lowerCamelCase   ,     add_special_tokens=lowerCamelCase    )
														__snake_case		:      List[Any]										=       tokenizer.decode(lowerCamelCase   ,     clean_up_tokenization_spaces=lowerCamelCase    )
														return text, ids

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

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

							def    __snake_case (							self	:  Union[str, Any]    )     ->   Union[str, Any]:
														pass  # TODO add if relevant

							def    __snake_case (							self	:  Union[str, Any]    )     ->   Dict:
														__snake_case		:      Optional[Any]										=       self.get_tokenizer()

														# Testing tokenization
														__snake_case		:      str										=       "こんにちは、世界。　こんばんは、㔺界。"
														__snake_case		:      Tuple										=       ["こん", "にちは", "、", "世界", "。", "<SP>", "こん", "ばんは", "、", "㔺界", "。"]
														__snake_case		:      Optional[Any]										=       tokenizer.tokenize(lowerCamelCase    )
														self.assertListEqual(lowerCamelCase   ,     lowerCamelCase    )

														# Testing conversion to ids without special tokens
														__snake_case		:      Tuple										=       [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
														__snake_case		:      int										=       tokenizer.convert_tokens_to_ids(lowerCamelCase    )
														self.assertListEqual(lowerCamelCase   ,     lowerCamelCase    )

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

							def    __snake_case (							self	:  Optional[Any]    )     ->   List[Any]:
														__snake_case		:      Dict										=       self.get_tokenizer()

														# Testing tokenization
														__snake_case		:      int										=       "こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"
														__snake_case		:      Optional[Any]										=       "こんにちは、、、、世界。こんばんは、、、、世界。"
														__snake_case		:      str										=       tokenizer.encode(lowerCamelCase    )
														__snake_case		:      Optional[Any]										=       tokenizer.decode(lowerCamelCase    )
														self.assertEqual(lowerCamelCase   ,     lowerCamelCase    )

							@slow
							def    __snake_case (							self	:  Dict    )     ->   List[Any]:
														__snake_case		:      Union[str, Any]										=       self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"    )

														# Testing tokenization
														__snake_case		:      List[Any]										=       "こんにちは、世界。"
														__snake_case		:      Optional[Any]										=       "こんばんは、㔺界。😀"
														__snake_case		:      Union[str, Any]										=       "こんにちは、世界。こんばんは、世界。😀"
														__snake_case		:      Any										=       tokenizer.encode(prefix_text + input_text    )
														__snake_case		:      Any										=       tokenizer.encode(""   ,     prefix_text=prefix_text + input_text    )
														__snake_case		:      List[str]										=       tokenizer.encode(lowerCamelCase   ,     prefix_text=lowerCamelCase    )
														__snake_case		:      Optional[int]										=       tokenizer.decode(lowerCamelCase    )
														__snake_case		:      List[Any]										=       tokenizer.decode(lowerCamelCase    )
														__snake_case		:      List[Any]										=       tokenizer.decode(lowerCamelCase    )
														self.assertEqual(lowerCamelCase   ,     lowerCamelCase    )
														self.assertEqual(lowerCamelCase   ,     lowerCamelCase    )
														self.assertEqual(lowerCamelCase   ,     lowerCamelCase    )

							@slow
							def    __snake_case (							self	:  Tuple    )     ->   int:
														__snake_case		:      Optional[int]										=       self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"    )

														# Testing tokenization
														__snake_case		:      int										=       "こんにちは、世界。"
														__snake_case		:      List[Any]										=       "こんばんは、㔺界。😀"

														__snake_case		:      Any										=       len(tokenizer.encode(lowerCamelCase    )    ) - 2
														__snake_case		:      int										=       len(tokenizer.encode(lowerCamelCase    )    ) - 2

														__snake_case		:      str										=       [1] + [0] * (len_prefix + len_text + 1)
														__snake_case		:      List[str]										=       [1] * (len_prefix + len_text + 1) + [0]
														__snake_case		:      Optional[Any]										=       [1] + [1] * (len_prefix) + [0] * (len_text + 1)

														__snake_case		:      Optional[Any]										=       tokenizer(prefix_text + input_text    ).token_type_ids
														__snake_case		:      str										=       tokenizer(""   ,     prefix_text=prefix_text + input_text    ).token_type_ids
														__snake_case		:      int										=       tokenizer(lowerCamelCase   ,     prefix_text=lowerCamelCase    ).token_type_ids
														self.assertListEqual(lowerCamelCase   ,     lowerCamelCase    )
														self.assertListEqual(lowerCamelCase   ,     lowerCamelCase    )
														self.assertListEqual(lowerCamelCase   ,     lowerCamelCase    )

							@slow
							def    __snake_case (							self	:  Tuple    )     ->   List[str]:
														__snake_case		:      List[str]										=       self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"    )

														__snake_case		:      Dict										=       tokenizer.encode("あンいワ"    )
														__snake_case		:      Union[str, Any]										=       tokenizer.encode(""   ,     prefix_text="あンいワ"    )
														__snake_case		:      Any										=       tokenizer.encode("いワ"   ,     prefix_text="あン"    )

														self.assertEqual(tokenizer.decode(lowerCamelCase    )   ,     tokenizer.decode(lowerCamelCase    )    )
														self.assertEqual(tokenizer.decode(lowerCamelCase    )   ,     tokenizer.decode(lowerCamelCase    )    )
														self.assertNotEqual(lowerCamelCase   ,     lowerCamelCase    )
														self.assertNotEqual(lowerCamelCase   ,     lowerCamelCase    )
														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    __snake_case (							self	:  int    )     ->   List[Any]:
														__snake_case		:      Union[str, Any]										=       self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"    )

														__snake_case		:      Optional[int]										=       [["武田信玄", "は、"], ["織田信長", "の配下の、"]]
														__snake_case		:      Dict										=       tokenizer(lowerCamelCase   ,     padding=lowerCamelCase    )
														__snake_case		:      str										=       tokenizer.batch_encode_plus(lowerCamelCase   ,     padding=lowerCamelCase    )

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

							def    __snake_case (							self	:  Tuple    )     ->   Dict:
														# Intentionally convert some words to accommodate character fluctuations unique to Japanese
														pass






							def    __snake_case (							self	:  Tuple    )     ->   Optional[int]:
														# tokenizer has no padding token
														pass





def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase     ):
							return x if y == 0 else greatest_common_divisor(__lowerCamelCase							,     x % y     )







def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase     ):
							return (x * y) // greatest_common_divisor(__lowerCamelCase							,     __lowerCamelCase     )







def     lowerCAmelCase_					( __lowerCamelCase = 2_0     ):
							__snake_case		:      Optional[Any]										=       1
							for i in range(1							,     n + 1     ):
														__snake_case		:      Any										=       lcm(__lowerCamelCase							,     __lowerCamelCase     )
							return g


if __name__ == "__main__":
			print(f'''{solution() = }''')

