





"""simple docstring"""


import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


__magic_name__       :					List[str]						=			get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")






class 							lowercase__			(   __SCREAMING_SNAKE_CASE					,     unittest.TestCase	):

			"""simple docstring"""
			__lowerCAmelCase     :				Union[str, Any]										=  BartphoTokenizer
			__lowerCAmelCase     :				str										=  False
			__lowerCAmelCase     :				Optional[Any]										=  True







			def   _a      (      self    ):






									'''simple docstring'''







									super().setUp()

									UpperCamelCase				:		Optional[int]				   =			["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]
									UpperCamelCase				:		int				   =			dict(zip(_A						,   range(len(_A    )    )    )    )
									UpperCamelCase				:		Optional[int]				   =			{"""unk_token""": """<unk>"""}

									UpperCamelCase				:		Optional[int]				   =			os.path.join(self.tmpdirname						,   VOCAB_FILES_NAMES["""monolingual_vocab_file"""]    )
									with open(self.monolingual_vocab_file						,   """w"""						,   encoding="""utf-8"""    ) as fp:
															for token in vocab_tokens:
																					fp.write(f"""{token} {vocab_tokens[token]}\n"""    )

									UpperCamelCase				:		Any				   =			BartphoTokenizer(_A						,   self.monolingual_vocab_file						,   **self.special_tokens_map    )
									tokenizer.save_pretrained(self.tmpdirname    )







			def   _a      (      self						,   **_A    ):






									'''simple docstring'''







									kwargs.update(self.special_tokens_map    )
									return BartphoTokenizer.from_pretrained(self.tmpdirname						,   **_A    )







			def   _a      (      self						,   _A    ):






									'''simple docstring'''







									UpperCamelCase				:		Optional[int]				   =			"""This is a là test"""
									UpperCamelCase				:		str				   =			"""This is a<unk><unk> test"""
									return input_text, output_text







			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		str				   =			BartphoTokenizer(_A						,   self.monolingual_vocab_file						,   **self.special_tokens_map    )
									UpperCamelCase				:		Tuple				   =			"""This is a là test"""
									UpperCamelCase				:		Tuple				   =			"""▁This ▁is ▁a ▁l à ▁t est""".split()
									UpperCamelCase				:		Any				   =			tokenizer.tokenize(_A    )
									self.assertListEqual(_A						,   _A    )

									UpperCamelCase				:		List[Any]				   =			tokens + [tokenizer.unk_token]
									UpperCamelCase				:		List[Any]				   =			[4, 5, 6, 3, 3, 7, 8, 3]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_A    )						,   _A    )










"""simple docstring"""


import colorsys

from PIL import Image  # type: ignore

def      UpperCamelCase							(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     ):
						UpperCamelCase				:		Optional[int]				   =			x
						UpperCamelCase				:		str				   =			y
						for step in range(SCREAMING_SNAKE_CASE     ):  # noqa: B007
												UpperCamelCase				:		str				   =			a * a - b * b + x
												UpperCamelCase				:		Any				   =			2 * a * b + y
												UpperCamelCase				:		List[str]				   =			a_new

												# divergence happens for all complex number with an absolute value
												# greater than 4
												if a * a + b * b > 4:
																		break
						return step / (max_step - 1)

def      UpperCamelCase							(SCREAMING_SNAKE_CASE     ):
						if distance == 1:
												return (0, 0, 0)
						else:
												return (255, 255, 255)

def      UpperCamelCase							(SCREAMING_SNAKE_CASE     ):
						if distance == 1:
												return (0, 0, 0)
						else:
												return tuple(round(i * 255     ) for i in colorsys.hsv_to_rgb(SCREAMING_SNAKE_CASE							,     1							,     1     )     )

def      UpperCamelCase							(SCREAMING_SNAKE_CASE = 800							,     SCREAMING_SNAKE_CASE = 600							,     SCREAMING_SNAKE_CASE = -0.6							,     SCREAMING_SNAKE_CASE = 0							,     SCREAMING_SNAKE_CASE = 3.2							,     SCREAMING_SNAKE_CASE = 50							,     SCREAMING_SNAKE_CASE = True							,     ):
						UpperCamelCase				:		Tuple				   =			Image.new("""RGB"""							,     (image_width, image_height)     )
						UpperCamelCase				:		Dict				   =			img.load()

						# loop through the image-coordinates
						for image_x in range(SCREAMING_SNAKE_CASE     ):
												for image_y in range(SCREAMING_SNAKE_CASE     ):
																		# determine the figure-coordinates based on the image-coordinates
																		UpperCamelCase				:		Dict				   =			figure_width / image_width * image_height
																		UpperCamelCase				:		Tuple				   =			figure_center_x + (image_x / image_width - 0.5) * figure_width
																		UpperCamelCase				:		Dict				   =			figure_center_y + (image_y / image_height - 0.5) * figure_height

																		UpperCamelCase				:		Union[str, Any]				   =			get_distance(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     )

																		# color the corresponding pixel based on the selected coloring-function
																		if use_distance_color_coding:
																								UpperCamelCase				:		int				   =			get_color_coded_rgb(SCREAMING_SNAKE_CASE     )
																		else:
																								UpperCamelCase				:		Optional[int]				   =			get_black_and_white_rgb(SCREAMING_SNAKE_CASE     )

						return img


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		# colored version, full figure
		__magic_name__       :					int						=			get_image()

		# uncomment for colored version, different section, zoomed in
		# img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
		# figure_width = 0.8)

		# uncomment for black and white version, full figure
		# img = get_image(use_distance_color_coding = False)

		# uncomment to save the image
		# img.save("mandelbrot.png")

		img.show()



