


import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, PLBartTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase			=				get_tests_dir('fixtures/test_sentencepiece.model')


if is_torch_available():
			from transformers.models.plbart.modeling_plbart import shift_tokens_right

lowerCAmelCase			=				5_0003
lowerCAmelCase			=				5_0002


@require_sentencepiece
@require_tokenizers
class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     int     =					PLBartTokenizer
							_lowercase      :     Optional[Any]     =					None
							_lowercase      :     int     =					False

							def  lowerCamelCase_					(				self:      Tuple				)     ->  Any:





									"""simple docstring"""







									super().setUp()

									# We have a SentencePiece fixture for testing
									lowercase__				= PLBartTokenizer(UpperCamelCase_       ,		language_codes='''base'''       ,		keep_accents=UpperCamelCase_				)
									tokenizer.save_pretrained(self.tmpdirname				)

							def  lowerCamelCase_					(				self:      int				)     ->  Tuple:





									"""simple docstring"""







									lowercase__				= PLBartTokenizer(UpperCamelCase_       ,		language_codes='''base'''       ,		keep_accents=UpperCamelCase_				)

									lowercase__				= tokenizer.tokenize('''This is a test'''				)
									self.assertListEqual(UpperCamelCase_       ,		['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']				)

									self.assertListEqual(
									    tokenizer.convert_tokens_to_ids(UpperCamelCase_				)       ,		[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]       ,		)

									lowercase__				= tokenizer.tokenize('''I was born in 92000, and this is falsé.'''				)
									self.assertListEqual(
									    UpperCamelCase_       ,		[
									        SPIECE_UNDERLINE + '''I''',
									        SPIECE_UNDERLINE + '''was''',
									        SPIECE_UNDERLINE + '''b''',
									        '''or''',
									        '''n''',
									        SPIECE_UNDERLINE + '''in''',
									        SPIECE_UNDERLINE + '''''',
									        '''9''',
									        '''2''',
									        '''0''',
									        '''0''',
									        '''0''',
									        ''',''',
									        SPIECE_UNDERLINE + '''and''',
									        SPIECE_UNDERLINE + '''this''',
									        SPIECE_UNDERLINE + '''is''',
									        SPIECE_UNDERLINE + '''f''',
									        '''al''',
									        '''s''',
									        '''é''',
									        '''.''',
									    ]       ,		)
									lowercase__				= tokenizer.convert_tokens_to_ids(UpperCamelCase_				)
									self.assertListEqual(
									    UpperCamelCase_       ,		[
									        value + tokenizer.fairseq_offset
									        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
									    ]       ,		)

									lowercase__				= tokenizer.convert_ids_to_tokens(UpperCamelCase_				)
									self.assertListEqual(
									    UpperCamelCase_       ,		[
									        SPIECE_UNDERLINE + '''I''',
									        SPIECE_UNDERLINE + '''was''',
									        SPIECE_UNDERLINE + '''b''',
									        '''or''',
									        '''n''',
									        SPIECE_UNDERLINE + '''in''',
									        SPIECE_UNDERLINE + '''''',
									        '''<unk>''',
									        '''2''',
									        '''0''',
									        '''0''',
									        '''0''',
									        ''',''',
									        SPIECE_UNDERLINE + '''and''',
									        SPIECE_UNDERLINE + '''this''',
									        SPIECE_UNDERLINE + '''is''',
									        SPIECE_UNDERLINE + '''f''',
									        '''al''',
									        '''s''',
									        '''<unk>''',
									        '''.''',
									    ]       ,		)

									lowercase__				= tokenizer.vocab_size
									lowercase__				= [tokenizer.convert_ids_to_tokens(UpperCamelCase_				) for x in range(end - 4       ,		UpperCamelCase_				)]

									self.assertListEqual(UpperCamelCase_       ,		['''__java__''', '''__python__''', '''__en_XX__''', '''<mask>''']				)

									lowercase__				= '''java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'''
									lowercase__				= tokenizer(UpperCamelCase_				).input_ids
									self.assertEqual(
									    tokenizer.decode(UpperCamelCase_       ,		skip_special_tokens=UpperCamelCase_       ,		clean_up_tokenization_spaces=UpperCamelCase_				)       ,		UpperCamelCase_       ,		)


							def  lowerCamelCase_					(				self:      int				)     ->  str:





									"""simple docstring"""







									lowercase__				= PLBartTokenizer(UpperCamelCase_       ,		language_codes='''multi'''       ,		keep_accents=UpperCamelCase_				)

									lowercase__				= tokenizer.tokenize('''This is a test'''				)
									self.assertListEqual(UpperCamelCase_       ,		['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']				)

									self.assertListEqual(
									    tokenizer.convert_tokens_to_ids(UpperCamelCase_				)       ,		[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]       ,		)

									lowercase__				= tokenizer.tokenize('''I was born in 92000, and this is falsé.'''				)
									self.assertListEqual(
									    UpperCamelCase_       ,		[
									        SPIECE_UNDERLINE + '''I''',
									        SPIECE_UNDERLINE + '''was''',
									        SPIECE_UNDERLINE + '''b''',
									        '''or''',
									        '''n''',
									        SPIECE_UNDERLINE + '''in''',
									        SPIECE_UNDERLINE + '''''',
									        '''9''',
									        '''2''',
									        '''0''',
									        '''0''',
									        '''0''',
									        ''',''',
									        SPIECE_UNDERLINE + '''and''',
									        SPIECE_UNDERLINE + '''this''',
									        SPIECE_UNDERLINE + '''is''',
									        SPIECE_UNDERLINE + '''f''',
									        '''al''',
									        '''s''',
									        '''é''',
									        '''.''',
									    ]       ,		)
									lowercase__				= tokenizer.convert_tokens_to_ids(UpperCamelCase_				)
									self.assertListEqual(
									    UpperCamelCase_       ,		[
									        value + tokenizer.fairseq_offset
									        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
									    ]       ,		)

									lowercase__				= tokenizer.convert_ids_to_tokens(UpperCamelCase_				)
									self.assertListEqual(
									    UpperCamelCase_       ,		[
									        SPIECE_UNDERLINE + '''I''',
									        SPIECE_UNDERLINE + '''was''',
									        SPIECE_UNDERLINE + '''b''',
									        '''or''',
									        '''n''',
									        SPIECE_UNDERLINE + '''in''',
									        SPIECE_UNDERLINE + '''''',
									        '''<unk>''',
									        '''2''',
									        '''0''',
									        '''0''',
									        '''0''',
									        ''',''',
									        SPIECE_UNDERLINE + '''and''',
									        SPIECE_UNDERLINE + '''this''',
									        SPIECE_UNDERLINE + '''is''',
									        SPIECE_UNDERLINE + '''f''',
									        '''al''',
									        '''s''',
									        '''<unk>''',
									        '''.''',
									    ]       ,		)
									lowercase__				= tokenizer.vocab_size
									lowercase__				= [tokenizer.convert_ids_to_tokens(UpperCamelCase_				) for x in range(end - 7       ,		UpperCamelCase_				)]

									self.assertListEqual(
									    UpperCamelCase_       ,		['''__java__''', '''__python__''', '''__en_XX__''', '''__javascript__''', '''__php__''', '''__ruby__''', '''__go__''']				)
									lowercase__				= '''java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'''
									lowercase__				= tokenizer(UpperCamelCase_				).input_ids
									self.assertEqual(
									    tokenizer.decode(UpperCamelCase_       ,		skip_special_tokens=UpperCamelCase_       ,		clean_up_tokenization_spaces=UpperCamelCase_				)       ,		UpperCamelCase_       ,		)


@require_torch
@require_sentencepiece
@require_tokenizers
class 			_a				(     unittest.TestCase     ):
							_lowercase      :     Union[str, Any]     =					'''uclanlp/plbart-python-en_XX'''
							_lowercase      :     Any     =					[
							    '''def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])''',
							    '''def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])''',
							]
							_lowercase      :     Union[str, Any]     =					[
							    '''Returns the maximum value of a b c.''',
							    '''Sums the values of a b c.''',
							]
							_lowercase      :     Tuple     =					[
							    134,
							    5452,
							    33460,
							    33441,
							    33463,
							    33465,
							    33463,
							    33449,
							    988,
							    20,
							    33456,
							    19,
							    33456,
							    771,
							    39,
							    4258,
							    889,
							    3318,
							    33441,
							    33463,
							    33465,
							    33463,
							    33449,
							    2471,
							    2,
							    PYTHON_CODE,
							]

							@classmethod
							def  lowerCamelCase_					(				cls:      List[str]				)     ->  Optional[int]:





									"""simple docstring"""







									lowercase__				= PLBartTokenizer.from_pretrained(
									    cls.checkpoint_name       ,		language_codes='''base'''       ,		src_lang='''python'''       ,		tgt_lang='''en_XX'''				)
									lowercase__				= 1
									return cls

							def  lowerCamelCase_					(				self:      Optional[int]				)     ->  Optional[Any]:





									"""simple docstring"""







									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__java__''']       ,		50_001				)
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__python__''']       ,		50_002				)
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__en_XX__''']       ,		50_003				)

							def  lowerCamelCase_					(				self:      Any				)     ->  Optional[Any]:





									"""simple docstring"""







									lowercase__				= self.tokenizer.batch_encode_plus(self.src_text				).input_ids[0]
									self.assertListEqual(self.expected_src_tokens       ,		UpperCamelCase_				)

							def  lowerCamelCase_					(				self:      Union[str, Any]				)     ->  Dict:





									"""simple docstring"""







									self.assertIn(UpperCamelCase_       ,		self.tokenizer.all_special_ids				)
									lowercase__				= [EN_CODE, 9_037, 33_442, 57, 752, 153, 14, 56, 18, 9, 2]
									lowercase__				= self.tokenizer.decode(UpperCamelCase_       ,		skip_special_tokens=UpperCamelCase_				)
									lowercase__				= self.tokenizer.decode(generated_ids[1:]       ,		skip_special_tokens=UpperCamelCase_				)
									self.assertEqual(UpperCamelCase_       ,		UpperCamelCase_				)
									self.assertNotIn(self.tokenizer.eos_token       ,		UpperCamelCase_				)

							def  lowerCamelCase_					(				self:      Tuple				)     ->  Any:





									"""simple docstring"""







									lowercase__				= ['''def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])''' * 20]
									self.assertIsInstance(src_text[0]       ,		UpperCamelCase_				)
									lowercase__				= 10
									lowercase__				= self.tokenizer(UpperCamelCase_       ,		max_length=UpperCamelCase_       ,		truncation=UpperCamelCase_				).input_ids[0]
									self.assertEqual(ids[-2]       ,		2				)
									self.assertEqual(ids[-1]       ,		UpperCamelCase_				)
									self.assertEqual(len(UpperCamelCase_				)       ,		UpperCamelCase_				)

							def  lowerCamelCase_					(				self:      int				)     ->  List[Any]:





									"""simple docstring"""







									self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''__java__''']				)       ,		[50_004, 50_001]				)

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





									"""simple docstring"""







									lowercase__				= tempfile.mkdtemp()
									lowercase__				= self.tokenizer.fairseq_tokens_to_ids
									self.tokenizer.save_pretrained(UpperCamelCase_				)
									lowercase__				= PLBartTokenizer.from_pretrained(UpperCamelCase_				)
									self.assertDictEqual(new_tok.fairseq_tokens_to_ids       ,		UpperCamelCase_				)

							@require_torch
							def  lowerCamelCase_					(				self:      str				)     ->  Optional[int]:





									"""simple docstring"""







									lowercase__				= self.tokenizer(self.src_text       ,		text_target=self.tgt_text       ,		padding=UpperCamelCase_       ,		return_tensors='''pt'''				)
									lowercase__				= shift_tokens_right(batch['''labels''']       ,		self.tokenizer.pad_token_id				)

									# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
									self.assertEqual(batch.input_ids[1][-2:].tolist()       ,		[2, PYTHON_CODE]				)
									self.assertEqual(batch.decoder_input_ids[1][0]       ,		UpperCamelCase_				)
									self.assertEqual(batch.decoder_input_ids[1][-1]       ,		2				)
									self.assertEqual(batch.labels[1][-2:].tolist()       ,		[2, EN_CODE]				)

							@require_torch
							def  lowerCamelCase_					(				self:      List[Any]				)     ->  Dict:





									"""simple docstring"""







									lowercase__				= self.tokenizer(
									    self.src_text       ,		text_target=self.tgt_text       ,		padding=UpperCamelCase_       ,		truncation=UpperCamelCase_       ,		max_length=len(self.expected_src_tokens				)       ,		return_tensors='''pt'''       ,		)
									lowercase__				= shift_tokens_right(batch['''labels''']       ,		self.tokenizer.pad_token_id				)

									self.assertIsInstance(UpperCamelCase_       ,		UpperCamelCase_				)

									self.assertEqual((2, 26)       ,		batch.input_ids.shape				)
									self.assertEqual((2, 26)       ,		batch.attention_mask.shape				)
									lowercase__				= batch.input_ids.tolist()[0]
									self.assertListEqual(self.expected_src_tokens       ,		UpperCamelCase_				)
									self.assertEqual(2       ,		batch.decoder_input_ids[0, -1]				)  # EOS
									# Test that special tokens are reset
									self.assertEqual(self.tokenizer.prefix_tokens       ,		[]				)
									self.assertEqual(self.tokenizer.suffix_tokens       ,		[self.tokenizer.eos_token_id, PYTHON_CODE]				)

							def  lowerCamelCase_					(				self:      Optional[int]				)     ->  Optional[int]:





									"""simple docstring"""







									lowercase__				= self.tokenizer(self.src_text       ,		padding=UpperCamelCase_       ,		truncation=UpperCamelCase_       ,		max_length=3       ,		return_tensors='''pt'''				)
									lowercase__				= self.tokenizer(
									    text_target=self.tgt_text       ,		padding=UpperCamelCase_       ,		truncation=UpperCamelCase_       ,		max_length=10       ,		return_tensors='''pt'''				)
									lowercase__				= targets['''input_ids''']
									lowercase__				= shift_tokens_right(UpperCamelCase_       ,		self.tokenizer.pad_token_id				)

									self.assertEqual(batch.input_ids.shape[1]       ,		3				)
									self.assertEqual(batch.decoder_input_ids.shape[1]       ,		10				)


							@require_torch
							def  lowerCamelCase_					(				self:      Union[str, Any]				)     ->  int:





									"""simple docstring"""







									lowercase__				= self.tokenizer._build_translation_inputs(
									    '''A test'''       ,		return_tensors='''pt'''       ,		src_lang='''en_XX'''       ,		tgt_lang='''java'''				)

									self.assertEqual(
									    nested_simplify(UpperCamelCase_				)       ,		{
									        # A, test, EOS, en_XX
									        '''input_ids''': [[150, 242, 2, 50_003]],
									        '''attention_mask''': [[1, 1, 1, 1]],
									        # java
									        '''forced_bos_token_id''': 50_001,
									    }       ,		)








from math import sqrt

import numpy as np
from sympy import symbols

# Coefficient
# Speed of light (m/s)
SCREAMING_SNAKE_CASE:     Optional[int]									= 2_9_9_7_9_2_4_5_8

# Symbols
SCREAMING_SNAKE_CASE				,					SCREAMING_SNAKE_CASE				,					SCREAMING_SNAKE_CASE				,					SCREAMING_SNAKE_CASE:     Tuple									= symbols('''ct x y z''')


def 					_a							(					lowerCAmelCase )->	float:
		if velocity > c:
				raise ValueError('Speed must not exceed light speed 299,792,458 [m/s]!' )
		elif velocity < 1:
				# Usually the speed should be much higher than 1 (c order of magnitude)
				raise ValueError('Speed must be greater than or equal to 1!' )

		return velocity / c


def 					_a							(					lowerCAmelCase )->	float:
		return 1 / sqrt(1 - beta(lowerCAmelCase ) ** 2 )


def 					_a							(					lowerCAmelCase )->	np.ndarray:
		return np.array(
		    [
		        [gamma(lowerCAmelCase ), -gamma(lowerCAmelCase ) * beta(lowerCAmelCase ), 0, 0],
		        [-gamma(lowerCAmelCase ) * beta(lowerCAmelCase ), gamma(lowerCAmelCase ), 0, 0],
		        [0, 0, 1, 0],
		        [0, 0, 0, 1],
		    ] )


def 					_a							(					lowerCAmelCase    ,						lowerCAmelCase = None )->	np.ndarray:
		# Ensure event is not empty
		if event is None:
				SCREAMING_SNAKE_CASE_					      =							np.array([ct, x, y, z] )  # Symbolic four vector
		else:
				event[0] *= c  # x0 is ct (speed of light * time)

		return transformation_matrix(lowerCAmelCase ) @ event


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						# Example of symbolic vector:
						SCREAMING_SNAKE_CASE:     int									= transform(2_9_9_7_9_2_4_5)
						print('''Example of four vector: ''')
						print(f"""ct' = {four_vector[0]}""")
						print(f"""x' = {four_vector[1]}""")
						print(f"""y' = {four_vector[2]}""")
						print(f"""z' = {four_vector[3]}""")

						# Substitute symbols with numerical values
						SCREAMING_SNAKE_CASE:     List[Any]									= {ct: c, x: 1, y: 1, z: 1}
						SCREAMING_SNAKE_CASE:     Optional[Any]									= [four_vector[i].subs(sub_dict) for i in range(4)]

						print(f"""\n{numerical_vector}""")