




import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class 		UpperCAmelCase       (    UpperCAmelCase__	,       unittest.TestCase      ):







						'''simple docstring'''





						lowerCAmelCase_							=       BertweetTokenizer
						lowerCAmelCase_							=       False






						def 	snake_case__						(						self							:					str						):






							"""simple docstring"""






							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							snake_case_		   =					["I", "m", "V@@", "R@@", "r", "e@@"]
							snake_case_		   =					dict(zip(__lowercase	,     range(len(__lowercase						)						)						)						)
							snake_case_		   =					["#version: 0.2", "a m</w>"]
							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["merges_file"]						)
							with open(self.vocab_file	,     "w"	,     encoding="utf-8"						) as fp:
								for token in vocab_tokens:
									fp.write(f"{token} {vocab_tokens[token]}\n"						)
							with open(self.merges_file	,     "w"	,     encoding="utf-8"						) as fp:
								fp.write("\n".join(__lowercase						)						)






						def 	snake_case__						(						self							:					str	,     **__lowercase							:					Tuple						):






							"""simple docstring"""






							kwargs.update(self.special_tokens_map						)
							return BertweetTokenizer.from_pretrained(self.tmpdirname	,     **__lowercase						)






						def 	snake_case__						(						self							:					Tuple	,     __lowercase							:					Dict						):






							"""simple docstring"""






							snake_case_		   =					"I am VinAI Research"
							snake_case_		   =					"I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
							return input_text, output_text






						def 	snake_case__						(						self							:					int						):






							"""simple docstring"""






							snake_case_		   =					BertweetTokenizer(self.vocab_file	,     self.merges_file	,     **self.special_tokens_map						)
							snake_case_		   =					"I am VinAI Research"
							snake_case_		   =					"I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
							snake_case_		   =					tokenizer.tokenize(__lowercase						)
							self.assertListEqual(__lowercase	,     __lowercase						)

							snake_case_		   =					tokens + [tokenizer.unk_token]

							snake_case_		   =					[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase						)	,     __lowercase						)






def 						lowerCamelCase__   (		_A					,     _A					,     _A							):







	'''simple docstring'''





	if right <= left:
		return
	snake_case_		   =					snake_case_		   =					left
	snake_case_		   =					right
	snake_case_		   =					sorting[left]
	while i <= b:
		if sorting[i] < pivot:
			snake_case_   ,				snake_case_		   =					sorting[i], sorting[a]
			a += 1
			i += 1
		elif sorting[i] > pivot:
			snake_case_   ,				snake_case_		   =					sorting[i], sorting[b]
			b -= 1
		else:
			i += 1
	quick_sort_apartition(_A					,     _A					,     a - 1							)
	quick_sort_apartition(_A					,     b + 1					,     _A							)


def 						lowerCamelCase__   (		_A					,     _A					,     _A							):







	'''simple docstring'''





	if left < right:
		snake_case_		   =					lomuto_partition(_A					,     _A					,     _A							)
		quick_sort_lomuto_partition(_A					,     _A					,     pivot_index - 1							)
		quick_sort_lomuto_partition(_A					,     pivot_index + 1					,     _A							)


def 						lowerCamelCase__   (		_A					,     _A					,     _A							):







	'''simple docstring'''





	snake_case_		   =					sorting[right]
	snake_case_		   =					left
	for i in range(_A					,     _A							):
		if sorting[i] < pivot:
			snake_case_   ,				snake_case_		   =					sorting[i], sorting[store_index]
			store_index += 1
	snake_case_   ,				snake_case_		   =					sorting[store_index], sorting[right]
	return store_index


def 						lowerCamelCase__   (		_A							):







	'''simple docstring'''





	if len(_A							) <= 1:
		return sorting
	return (
	    three_way_radix_quicksort([i for i in sorting if i < sorting[0]]							)
	    + [i for i in sorting if i == sorting[0]]
	    + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]							)
	)


if __name__ == "__main__":
		import doctest

		doctest.testmod(verbose=True)

		lowercase__    :					Tuple					=						input("Enter numbers separated by a comma:\n").strip()
		lowercase__    :					int					=						[int(item) for item in user_input.split(",")]
		quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
		print(unsorted)
