



"""simple docstring"""






import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import MaMaaaTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)
from transformers.utils import is_sentencepiece_available


if is_sentencepiece_available():
		from transformers.models.mam_aaa.tokenization_mam_aaa import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


if is_sentencepiece_available():
		_lowercase				:				Union[str, Any]   		=		get_tests_dir("fixtures/test_sentencepiece.model")


if is_torch_available():
		from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

_lowercase				:				int   		=		1_2_8_0_2_2
_lowercase				:				List[str]   		=		1_2_8_0_2_8

@require_sentencepiece
class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_	,     unittest.TestCase     ):


					'''simple docstring'''





					_a         =							MaMaaaTokenizer
					_a         =							False
					_a         =							False
					_a         =							True



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

								lowerCamelCase__	:	str				=['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
								lowerCamelCase__	:	List[str]				=dict(zip(lowerCamelCase,						range(len(lowerCamelCase  )  )  )  )
								lowerCamelCase__	:	Tuple				=Path(self.tmpdirname  )
								save_json(lowerCamelCase,						save_dir / VOCAB_FILES_NAMES['''vocab_file''']  )
								if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
											copyfile(lowerCamelCase,						save_dir / VOCAB_FILES_NAMES['''spm_file''']  )

								lowerCamelCase__	:	str				=MaMaaaTokenizer.from_pretrained(self.tmpdirname  )
								tokenizer.save_pretrained(self.tmpdirname  )



					def 	snake_case ( self							:						List[Any],						**lowerCamelCase							:						Union[str, Any]  )->      Optional[int]:
								return MaMaaaTokenizer.from_pretrained(self.tmpdirname,						**lowerCamelCase  )



					def 	snake_case ( self							:						List[str],						lowerCamelCase							:						Optional[int]  )->      Union[str, Any]:
								return (
								    "This is a test",
								    "This is a test",
								)



					def 	snake_case ( self							:						Tuple  )->      List[str]:
								lowerCamelCase__	:	Tuple				='''</s>'''
								lowerCamelCase__	:	Dict				=0

								self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCamelCase  ),						lowerCamelCase  )
								self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCamelCase  ),						lowerCamelCase  )



					def 	snake_case ( self							:						Optional[Any]  )->      Optional[Any]:
								lowerCamelCase__	:	List[Any]				=self.get_tokenizer()
								lowerCamelCase__	:	str				=list(tokenizer.get_vocab().keys()  )

								self.assertEqual(vocab_keys[0],						'''</s>'''  )
								self.assertEqual(vocab_keys[1],						'''<unk>'''  )
								self.assertEqual(vocab_keys[-1],						'''<s>'''  )
								self.assertEqual(len(lowerCamelCase  ),						tokenizer.vocab_size + len(tokenizer.get_added_vocab()  )  )



					@unittest.skip('''Skip this test while all models are still to be uploaded.'''  )
					def 	snake_case ( self							:						str  )->      Any:
								pass



					def 	snake_case ( self							:						Tuple  )->      Optional[Any]:
								lowerCamelCase__	:	Dict				=self.get_tokenizer()

								lowerCamelCase__	:	Any				=tokenizer.tokenize('''This is a test'''  )
								self.assertListEqual(lowerCamelCase,						['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']  )

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(lowerCamelCase  ),						[2, 3, 4, 5, 6],						)

								lowerCamelCase__	:	Any				=tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]  )
								self.assertListEqual(lowerCamelCase,						['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']  )

								lowerCamelCase__	:	Optional[int]				=tokenizer.convert_tokens_to_string(lowerCamelCase  )
								self.assertEqual(lowerCamelCase,						'''This is a test'''  )




					@slow
					def 	snake_case ( self							:						str  )->      Tuple:
								# fmt: off
								lowerCamelCase__	:	Any				={'''input_ids''': [[12_8022, 11_0108, 397, 11, 3_8272, 2247, 12_4811, 285, 1_8105, 1586, 207, 7, 3_9534, 4428, 397, 1019, 1_8105, 1586, 207, 7, 4_1337, 1_6786, 241, 7, 2_0214, 17, 12_5690, 1_0398, 7, 4_4378, 5_8069, 6_8342, 7798, 7343, 11, 299, 3_3310, 4, 158, 3_7350, 9_4077, 4569, 299, 3_3310, 90, 4, 5_2840, 290, 4, 3_1270, 112, 299, 682, 4, 5_2840, 3_9953, 1_4079, 193, 5_2519, 9_0894, 1_7894, 12_0697, 11, 4_0445, 551, 17, 1019, 5_2519, 9_0894, 1_7756, 963, 11, 4_0445, 480, 17, 9792, 1120, 5173, 1393, 6240, 1_6786, 241, 12_0996, 28, 1245, 1393, 11_8240, 1_1123, 1019, 9_3612, 2691, 1_0618, 9_8058, 12_0409, 1928, 279, 4, 4_0683, 367, 178, 207, 1019, 103, 10_3121, 506, 6_5296, 5, 2], [12_8022, 2_1217, 367, 117, 12_5450, 128, 719, 7, 7308, 40, 9_3612, 1_2669, 1116, 1_6704, 71, 1_7785, 3699, 1_5592, 35, 144, 9584, 241, 1_1943, 713, 950, 799, 2247, 8_8427, 150, 149, 11_8813, 12_0706, 1019, 10_6906, 8_1518, 28, 1224, 2_2799, 397, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [12_8022, 1658, 12_3311, 5155, 5578, 4722, 279, 1_4947, 2366, 1120, 1197, 14, 1348, 9232, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
								# fmt: on

								self.tokenizer_integration_test_util(
								    expected_encoding=lowerCamelCase,						model_name='''facebook/m2m100_418M''',						revision='''c168bae485c864188cf9aa0e4108b0b6934dc91e''',						)





@require_torch
@require_sentencepiece
@require_tokenizers
class  __SCREAMING_SNAKE_CASE			(   unittest.TestCase     ):


					'''simple docstring'''





					_a         =							'facebook/m2m100_418M'
					_a         =							[
					    'In my opinion, there are two levels of response from the French government.',
					    'NSA Affair Emphasizes Complete Lack of Debate on Intelligence',
					]
					_a         =							[
					    'Selon moi, il y a deux niveaux de réponse de la part du gouvernement français.',
					    'L\'affaire NSA souligne l\'absence totale de débat sur le renseignement',
					]

					# fmt: off
					_a         =							[EN_CODE, 5_9_3, 1_9_4_9, 1_1_5_7_8_1, 4, 7_1_5_8_6, 4_2_3_4, 6_0_6_3_3, 1_2_6_2_3_3, 4_3_2, 1_2_3_8_0_8, 1_5_5_9_2, 1_1_9_7, 1_1_7_1_3_2, 1_2_0_6_1_8, 5, 2]



					@classmethod
					def 	snake_case ( cls							:						Optional[Any]  )->      Optional[int]:
								lowerCamelCase__	:	MaMaaaTokenizer				=MaMaaaTokenizer.from_pretrained(
								    cls.checkpoint_name,						src_lang='''en''',						tgt_lang='''fr'''  )
								lowerCamelCase__	:	str				=1
								return cls



					def 	snake_case ( self							:						int  )->      Optional[int]:
								self.assertEqual(self.tokenizer.get_lang_id('''ar'''  ),						12_8006  )
								self.assertEqual(self.tokenizer.get_lang_id('''en'''  ),						12_8022  )
								self.assertEqual(self.tokenizer.get_lang_id('''ro'''  ),						12_8076  )
								self.assertEqual(self.tokenizer.get_lang_id('''mr'''  ),						12_8063  )



					def 	snake_case ( self							:						int  )->      Optional[Any]:
								lowerCamelCase__	:	Any				=self.tokenizer.get_vocab()
								self.assertEqual(len(lowerCamelCase  ),						self.tokenizer.vocab_size  )
								self.assertEqual(vocab['''<unk>'''],						3  )
								self.assertIn(self.tokenizer.get_lang_token('''en'''  ),						lowerCamelCase  )



					def 	snake_case ( self							:						Any  )->      List[Any]:
								lowerCamelCase__	:	Tuple				='''en'''
								lowerCamelCase__	:	Union[str, Any]				=self.tokenizer.batch_encode_plus(self.src_text  ).input_ids[0]
								self.assertListEqual(self.expected_src_tokens,						lowerCamelCase  )



					def 	snake_case ( self							:						int  )->      Tuple:
								self.assertIn(lowerCamelCase,						self.tokenizer.all_special_ids  )
								# fmt: off
								lowerCamelCase__	:	Tuple				=[FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 1_4028, 136, 3286, 9706, 6, 9_0797, 6, 14_4012, 162, 8_8128, 3_0061, 5, 2]
								# fmt: on
								lowerCamelCase__	:	Any				=self.tokenizer.decode(lowerCamelCase,						skip_special_tokens=lowerCamelCase  )
								lowerCamelCase__	:	Optional[Any]				=self.tokenizer.decode(generated_ids[1:],						skip_special_tokens=lowerCamelCase  )
								self.assertEqual(lowerCamelCase,						lowerCamelCase  )
								self.assertNotIn(self.tokenizer.eos_token,						lowerCamelCase  )



					def 	snake_case ( self							:						Union[str, Any]  )->      str:
								lowerCamelCase__	:	Union[str, Any]				=tempfile.mkdtemp()
								lowerCamelCase__	:	Optional[Any]				=self.tokenizer.lang_token_to_id
								self.tokenizer.save_pretrained(lowerCamelCase  )
								lowerCamelCase__	:	List[str]				=MaMaaaTokenizer.from_pretrained(lowerCamelCase  )
								self.assertDictEqual(new_tok.lang_token_to_id,						lowerCamelCase  )



					@require_torch
					def 	snake_case ( self							:						List[Any]  )->      Optional[int]:
								lowerCamelCase__	:	Dict				='''en'''
								lowerCamelCase__	:	Tuple				='''fr'''

								lowerCamelCase__	:	Union[str, Any]				=self.tokenizer(self.src_text,						text_target=self.tgt_text,						padding=lowerCamelCase,						return_tensors='''pt'''  )

								lowerCamelCase__	:	Dict				=shift_tokens_right(
								    batch['''labels'''],						self.tokenizer.pad_token_id,						self.tokenizer.eos_token_id  )

								for k in batch:
											lowerCamelCase__	:	List[str]				=batch[k].tolist()
								# batch = {k: v.tolist() for k,v in batch.items()}
								# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
								# batch.decoder_inputs_ids[0][0] ==
								assert batch.input_ids[1][0] == EN_CODE
								assert batch.input_ids[1][-1] == 2
								assert batch.labels[1][0] == FR_CODE
								assert batch.labels[1][-1] == 2
								assert batch.decoder_input_ids[1][:2] == [2, FR_CODE]



					@require_torch
					def 	snake_case ( self							:						Optional[int]  )->      Optional[Any]:
								lowerCamelCase__	:	List[str]				='''mr'''
								self.assertListEqual(self.tokenizer.prefix_tokens,						[self.tokenizer.get_lang_id('''mr'''  )]  )
								self.assertListEqual(self.tokenizer.suffix_tokens,						[self.tokenizer.eos_token_id]  )

								lowerCamelCase__	:	Optional[int]				='''zh'''
								self.assertListEqual(self.tokenizer.prefix_tokens,						[self.tokenizer.get_lang_id('''zh'''  )]  )
								self.assertListEqual(self.tokenizer.suffix_tokens,						[self.tokenizer.eos_token_id]  )



					@require_torch
					def 	snake_case ( self							:						Dict  )->      str:
								lowerCamelCase__	:	str				='''mr'''
								self.tokenizer._switch_to_target_mode()
								self.assertListEqual(self.tokenizer.prefix_tokens,						[self.tokenizer.get_lang_id('''mr'''  )]  )
								self.assertListEqual(self.tokenizer.suffix_tokens,						[self.tokenizer.eos_token_id]  )
								self.tokenizer._switch_to_input_mode()
								self.assertListEqual(self.tokenizer.prefix_tokens,						[self.tokenizer.get_lang_id(self.tokenizer.src_lang  )]  )

								lowerCamelCase__	:	Dict				='''zh'''
								self.tokenizer._switch_to_target_mode()
								self.assertListEqual(self.tokenizer.prefix_tokens,						[self.tokenizer.get_lang_id('''zh'''  )]  )
								self.assertListEqual(self.tokenizer.suffix_tokens,						[self.tokenizer.eos_token_id]  )
								self.tokenizer._switch_to_input_mode()
								self.assertListEqual(self.tokenizer.prefix_tokens,						[self.tokenizer.get_lang_id(self.tokenizer.src_lang  )]  )




					@require_torch
					def 	snake_case ( self							:						Any  )->      str:
								lowerCamelCase__	:	Any				=self.tokenizer._build_translation_inputs('''A test''',						return_tensors='''pt''',						src_lang='''en''',						tgt_lang='''ar'''  )

								self.assertEqual(
								    nested_simplify(lowerCamelCase  ),						{
								        # en_XX, A, test, EOS
								        '''input_ids''': [[12_8022, 58, 4183, 2]],
								        '''attention_mask''': [[1, 1, 1, 1]],
								        # ar_AR
								        '''forced_bos_token_id''': 12_8006,
								    },						)









"""simple docstring"""






import colorsys

from PIL import Image  # type: ignore






def   snake_case__     (	__lowerCamelCase       :					float							,	__lowerCamelCase       :					float							,	__lowerCamelCase       :					int			):
			"""simple docstring"""
			lowerCamelCase__	:	Optional[Any]				=x
			lowerCamelCase__	:	Any				=y
			for step in range(__lowerCamelCase			):  # noqa: B007
						lowerCamelCase__	:	List[Any]				=a * a - b * b + x
						lowerCamelCase__	:	Optional[int]				=2 * a * b + y
						lowerCamelCase__	:	Union[str, Any]				=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   snake_case__     (	__lowerCamelCase       :					float			):
			"""simple docstring"""
			if distance == 1:
						return (0, 0, 0)
			else:
						return (255, 255, 255)






def   snake_case__     (	__lowerCamelCase       :					float			):
			"""simple docstring"""
			if distance == 1:
						return (0, 0, 0)
			else:
						return tuple(round(i * 255			) for i in colorsys.hsv_to_rgb(__lowerCamelCase							,	1							,	1			)			)






def   snake_case__     (	__lowerCamelCase       :					int = 800							,	__lowerCamelCase       :					int = 600							,	__lowerCamelCase       :					float = -0.6							,	__lowerCamelCase       :					float = 0							,	__lowerCamelCase       :					float = 3.2							,	__lowerCamelCase       :					int = 50							,	__lowerCamelCase       :					bool = True							,	):
			"""simple docstring"""
			lowerCamelCase__	:	Optional[Any]				=Image.new('''RGB'''							,	(image_width, image_height)			)
			lowerCamelCase__	:	Optional[int]				=img.load()

			# loop through the image-coordinates
			for image_x in range(__lowerCamelCase			):
						for image_y in range(__lowerCamelCase			):
									# determine the figure-coordinates based on the image-coordinates
									lowerCamelCase__	:	Optional[Any]				=figure_width / image_width * image_height
									lowerCamelCase__	:	Dict				=figure_center_x + (image_x / image_width - 0.5) * figure_width
									lowerCamelCase__	:	Optional[int]				=figure_center_y + (image_y / image_height - 0.5) * figure_height

									lowerCamelCase__	:	Any				=get_distance(__lowerCamelCase							,	__lowerCamelCase							,	__lowerCamelCase			)

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

			return img


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		# colored version, full figure
		_lowercase				:				Optional[Any]   		=		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()




