


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     UpperCamelCase(  _a     ,							unittest.TestCase   ):
					snake_case_		:				Tuple										=	GPTSanJapaneseTokenizer
					snake_case_		:				str										=	False
					snake_case_		:				str										=	{"""do_clean_text""": False, """add_prefix_space""": False}


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Tuple						)			->	Optional[int]:




											'''simple docstring'''

											super().setUp()

											# fmt: off
											__snake_case				=		["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				=		{"emoji": {"\ud83d\ude00": "<|emoji1|>"}, "emoji_inv": {"<|emoji1|>": "\ud83d\ude00"}}  # 😀
											__snake_case				=		{"unk_token": "<unk>"}

											__snake_case				=		os.path.join(self.tmpdirname     ,    VOCAB_FILES_NAMES["vocab_file"]						)
											__snake_case				=		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(SCREAMING_SNAKE_CASE						)						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		List[str]     ,    **SCREAMING_SNAKE_CASE	:		List[str]						)			->	str:




											'''simple docstring'''

											kwargs.update(self.special_tokens_map						)
											return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname     ,    **SCREAMING_SNAKE_CASE						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		List[str]     ,    SCREAMING_SNAKE_CASE	:		Optional[Any]						)			->	int:




											'''simple docstring'''

											__snake_case				=		"こんにちは、世界。 \nこんばんは、㔺界。😀"
											__snake_case				=		"こんにちは、世界。 \nこんばんは、世界。😀"
											return input_text, output_text


					def 							SCREAMING_SNAKE_CASE_  (						self	:		str     ,    SCREAMING_SNAKE_CASE	:		str						)			->	Any:




											'''simple docstring'''

											__snake_case		,					__snake_case				=		self.get_input_output_texts(SCREAMING_SNAKE_CASE						)
											__snake_case				=		tokenizer.encode(SCREAMING_SNAKE_CASE     ,    add_special_tokens=SCREAMING_SNAKE_CASE						)
											__snake_case				=		tokenizer.decode(SCREAMING_SNAKE_CASE     ,    clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE						)
											return text, ids


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Tuple						)			->	int:




											'''simple docstring'''

											pass  # TODO add if relevant


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict						)			->	Optional[int]:




											'''simple docstring'''

											pass  # TODO add if relevant


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




											'''simple docstring'''

											pass  # TODO add if relevant


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




											'''simple docstring'''

											__snake_case				=		self.get_tokenizer()

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

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

											# Testing conversion to ids with special tokens
											__snake_case				=		tokens + [tokenizer.unk_token]
											__snake_case				=		[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
											__snake_case				=		tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE						)
											self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		int						)			->	Dict:




											'''simple docstring'''

											__snake_case				=		self.get_tokenizer()

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


					@slow
					def 							SCREAMING_SNAKE_CASE_  (						self	:		Tuple						)			->	List[str]:




											'''simple docstring'''

											__snake_case				=		self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"						)

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


					@slow
					def 							SCREAMING_SNAKE_CASE_  (						self	:		Tuple						)			->	List[str]:




											'''simple docstring'''

											__snake_case				=		self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"						)

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

											__snake_case				=		len(tokenizer.encode(SCREAMING_SNAKE_CASE						)						) - 2
											__snake_case				=		len(tokenizer.encode(SCREAMING_SNAKE_CASE						)						) - 2

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

											__snake_case				=		tokenizer(prefix_text + input_text						).token_type_ids
											__snake_case				=		tokenizer(""     ,    prefix_text=prefix_text + input_text						).token_type_ids
											__snake_case				=		tokenizer(SCREAMING_SNAKE_CASE     ,    prefix_text=SCREAMING_SNAKE_CASE						).token_type_ids
											self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)
											self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)
											self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)


					@slow
					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict						)			->	List[Any]:




											'''simple docstring'''

											__snake_case				=		self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"						)

											__snake_case				=		tokenizer.encode("あンいワ"						)
											__snake_case				=		tokenizer.encode(""     ,    prefix_text="あンいワ"						)
											__snake_case				=		tokenizer.encode("いワ"     ,    prefix_text="あン"						)

											self.assertEqual(tokenizer.decode(SCREAMING_SNAKE_CASE						)     ,    tokenizer.decode(SCREAMING_SNAKE_CASE						)						)
											self.assertEqual(tokenizer.decode(SCREAMING_SNAKE_CASE						)     ,    tokenizer.decode(SCREAMING_SNAKE_CASE						)						)
											self.assertNotEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)
											self.assertNotEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_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 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[Any]						)			->	List[str]:




											'''simple docstring'''

											__snake_case				=		self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"						)

											__snake_case				=		[["武田信玄", "は、"], ["織田信長", "の配下の、"]]
											__snake_case				=		tokenizer(SCREAMING_SNAKE_CASE     ,    padding=SCREAMING_SNAKE_CASE						)
											__snake_case				=		tokenizer.batch_encode_plus(SCREAMING_SNAKE_CASE     ,    padding=SCREAMING_SNAKE_CASE						)

											# fmt: off
											__snake_case				=		[[3_5_9_9_3, 8_6_4_0, 2_5_9_4_8, 3_5_9_9_8, 3_0_6_4_7, 3_5_6_7_5, 3_5_9_9_9, 3_5_9_9_9], [3_5_9_9_3, 1_0_3_8_2, 9_8_6_8, 3_5_9_9_8, 3_0_6_4_6, 9_4_5_9, 3_0_6_4_6, 3_5_6_7_5]]
											__snake_case				=		[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
											__snake_case				=		[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
											# fmt: on
											self.assertListEqual(x_token.input_ids     ,    SCREAMING_SNAKE_CASE						)
											self.assertListEqual(x_token.token_type_ids     ,    SCREAMING_SNAKE_CASE						)
											self.assertListEqual(x_token.attention_mask     ,    SCREAMING_SNAKE_CASE						)
											self.assertListEqual(x_token_a.input_ids     ,    SCREAMING_SNAKE_CASE						)
											self.assertListEqual(x_token_a.token_type_ids     ,    SCREAMING_SNAKE_CASE						)
											self.assertListEqual(x_token_a.attention_mask     ,    SCREAMING_SNAKE_CASE						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict						)			->	Any:




											'''simple docstring'''

											pass






					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[int]						)			->	Union[str, Any]:




											'''simple docstring'''

											pass









from __future__ import annotations





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	list:


						'''simple docstring'''






						if len(_lowerCAmelCase ) == 0:
												return []
						__snake_case		,					__snake_case				=		min(_lowerCAmelCase ), max(_lowerCAmelCase )
						__snake_case				=		int(max_value - min_value ) + 1
						__snake_case				=		[[] for _ in range(_lowerCAmelCase )]

						for i in my_list:
												buckets[int(i - min_value )].append(_lowerCAmelCase )

						return [v for bucket in buckets for v in sorted(_lowerCAmelCase )]


if __name__ == "__main__":
	from doctest import testmod

	testmod()
	assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
	assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]





