'''simple docstring'''
import json
import os
import unittest

from transformers import BatchEncoding, LEDTokenizer, LEDTokenizerFast
from transformers.models.led.tokenization_led import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 			__lowercase		(						_lowerCamelCase			,							unittest.TestCase						):







     """simple docstring"""






     SCREAMING_SNAKE_CASE__		   =						LEDTokenizer
     SCREAMING_SNAKE_CASE__		   =						LEDTokenizerFast
     SCREAMING_SNAKE_CASE__		   =						True







     def lowerCAmelCase     (		self    ):
         super().setUp()
         __UpperCamelCase	:	Dict		    =  [
             'l',
             'o',
             'w',
             'e',
             'r',
             's',
             't',
             'i',
             'd',
             'n',
             '\u0120',
             '\u0120l',
             '\u0120n',
             '\u0120lo',
             '\u0120low',
             'er',
             '\u0120lowest',
             '\u0120newer',
             '\u0120wider',
             '<unk>',
         ]
         __UpperCamelCase	:	Dict		    =  dict(zip(_lowerCamelCase     ,			range(len(_lowerCamelCase    )    )    )    )
         __UpperCamelCase	:	str		    =  ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
         __UpperCamelCase	:	List[Any]		    =  {'unk_token': '<unk>'}

         __UpperCamelCase	:	int		    =  os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES['vocab_file']    )
         __UpperCamelCase	:	int		    =  os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES['merges_file']    )
         with open(self.vocab_file     ,			'w'     ,			encoding='utf-8'    ) as fp:
             fp.write(json.dumps(_lowerCamelCase    ) + '\n'    )
         with open(self.merges_file     ,			'w'     ,			encoding='utf-8'    ) as fp:
             fp.write('\n'.join(_lowerCamelCase    )    )







     def lowerCAmelCase     (		self     ,			**_lowerCamelCase    ):
         kwargs.update(self.special_tokens_map    )
         return self.tokenizer_class.from_pretrained(self.tmpdirname     ,			**_lowerCamelCase    )







     def lowerCAmelCase     (		self     ,			**_lowerCamelCase    ):
         kwargs.update(self.special_tokens_map    )
         return self.rust_tokenizer_class.from_pretrained(self.tmpdirname     ,			**_lowerCamelCase    )







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
         return "lower newer", "lower newer"







     @cached_property
     def lowerCAmelCase     (		self    ):
         return LEDTokenizer.from_pretrained('allenai/led-base-16384'    )







     @cached_property
     def lowerCAmelCase     (		self    ):
         return LEDTokenizerFast.from_pretrained('allenai/led-base-16384'    )







     @require_torch
     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Dict		    =  ['A long paragraph for summarization.', 'Another paragraph for summarization.']
         __UpperCamelCase	:	Optional[int]		    =  [0, 2_5_0, 2_5_1, 1_7_8_1_8, 1_3, 3_9_1_8_6, 1_9_3_8, 4, 2]

         for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
             __UpperCamelCase	:	List[Any]		    =  tokenizer(_lowerCamelCase     ,			max_length=len(_lowerCamelCase    )     ,			padding=_lowerCamelCase     ,			return_tensors='pt'    )
             self.assertIsInstance(_lowerCamelCase     ,			_lowerCamelCase    )

             self.assertEqual((2, 9)     ,			batch.input_ids.shape    )
             self.assertEqual((2, 9)     ,			batch.attention_mask.shape    )
             __UpperCamelCase	:	Union[str, Any]		    =  batch.input_ids.tolist()[0]
             self.assertListEqual(_lowerCamelCase     ,			_lowerCamelCase    )







     @require_torch
     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Tuple		    =  ['A long paragraph for summarization.', 'Another paragraph for summarization.']
         for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
             __UpperCamelCase	:	Optional[Any]		    =  tokenizer(_lowerCamelCase     ,			padding=_lowerCamelCase     ,			return_tensors='pt'    )
             self.assertIn('input_ids'     ,			_lowerCamelCase    )
             self.assertIn('attention_mask'     ,			_lowerCamelCase    )
             self.assertNotIn('labels'     ,			_lowerCamelCase    )
             self.assertNotIn('decoder_attention_mask'     ,			_lowerCamelCase    )







     @require_torch
     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Any		    =  [
             'Summary of the text.',
             'Another summary.',
         ]
         for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
             __UpperCamelCase	:	int		    =  tokenizer(text_target=_lowerCamelCase     ,			max_length=3_2     ,			padding='max_length'     ,			return_tensors='pt'    )
             self.assertEqual(3_2     ,			targets['input_ids'].shape[1]    )







     @require_torch
     def lowerCAmelCase     (		self    ):
         for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
             __UpperCamelCase	:	Tuple		    =  tokenizer(
                 ['I am a small frog' * 1_0_2_4, 'I am a small frog']     ,			padding=_lowerCamelCase     ,			truncation=_lowerCamelCase     ,			return_tensors='pt'    )
             self.assertIsInstance(_lowerCamelCase     ,			_lowerCamelCase    )
             self.assertEqual(batch.input_ids.shape     ,			(2, 5_1_2_2)    )







     @require_torch
     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Any		    =  ['A long paragraph for summarization.']
         __UpperCamelCase	:	str		    =  [
             'Summary of the text.',
         ]
         for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
             __UpperCamelCase	:	Tuple		    =  tokenizer(_lowerCamelCase     ,			return_tensors='pt'    )
             __UpperCamelCase	:	Dict		    =  tokenizer(text_target=_lowerCamelCase     ,			return_tensors='pt'    )
             __UpperCamelCase	:	Dict		    =  inputs['input_ids']
             __UpperCamelCase	:	Any		    =  targets['input_ids']
             self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item()    )
             self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item()    )
             self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item()    )
             self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item()    )







     @require_torch
     def lowerCAmelCase     (		self    ):
         for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
             __UpperCamelCase	:	Optional[int]		    =  ['Summary of the text.', 'Another summary.']
             __UpperCamelCase	:	str		    =  [[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, -1]]

             __UpperCamelCase	:	Optional[int]		    =  tokenizer(_lowerCamelCase     ,			padding=_lowerCamelCase    )
             __UpperCamelCase	:	Any		    =  [[0] * len(_lowerCamelCase    ) for x in encoded_output['input_ids']]
             __UpperCamelCase	:	Any		    =  tokenizer.pad(_lowerCamelCase    )
             self.assertSequenceEqual(outputs['global_attention_mask']     ,			_lowerCamelCase    )







     def lowerCAmelCase     (		self    ):
         pass







     def lowerCAmelCase     (		self    ):
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
                 __UpperCamelCase	:	Dict		    =  self.rust_tokenizer_class.from_pretrained(_lowerCamelCase     ,			**_lowerCamelCase    )
                 __UpperCamelCase	:	List[Any]		    =  self.tokenizer_class.from_pretrained(_lowerCamelCase     ,			**_lowerCamelCase    )
                 __UpperCamelCase	:	List[str]		    =  'A, <mask> AllenNLP sentence.'
                 __UpperCamelCase	:	Union[str, Any]		    =  tokenizer_r.encode_plus(_lowerCamelCase     ,			add_special_tokens=_lowerCamelCase     ,			return_token_type_ids=_lowerCamelCase    )
                 __UpperCamelCase	:	Any		    =  tokenizer_p.encode_plus(_lowerCamelCase     ,			add_special_tokens=_lowerCamelCase     ,			return_token_type_ids=_lowerCamelCase    )
                 self.assertEqual(sum(tokens_r['token_type_ids']    )     ,			sum(tokens_p['token_type_ids']    )    )
                 self.assertEqual(
                     sum(tokens_r['attention_mask']    ) / len(tokens_r['attention_mask']    )     ,			sum(tokens_p['attention_mask']    ) / len(tokens_p['attention_mask']    )     ,			)

                 __UpperCamelCase	:	Any		    =  tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']    )
                 __UpperCamelCase	:	Optional[int]		    =  tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']    )
                 self.assertSequenceEqual(tokens_p['input_ids']     ,			[0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]    )
                 self.assertSequenceEqual(tokens_r['input_ids']     ,			[0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]    )

                 self.assertSequenceEqual(
                     _lowerCamelCase     ,			['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']    )
                 self.assertSequenceEqual(
                     _lowerCamelCase     ,			['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']    )




'''simple docstring'''
import unittest

from .lib import (
    Matrix,
    Vector,
    axpy,
    square_zero_matrix,
    unit_basis_vector,
    zero_vector,
)






class 			__lowercase		(						unittest.TestCase						):







     """simple docstring"""






     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Dict		    =  Vector([1, 2, 3]    )
         self.assertEqual(x.component(0    )     ,			1    )
         self.assertEqual(x.component(2    )     ,			3    )
         __UpperCamelCase	:	Dict		    =  Vector()







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	str		    =  Vector([0, 0, 0, 0, 0, 1]    )
         self.assertEqual(str(_lowerCamelCase    )     ,			'(0,0,0,0,0,1)'    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Dict		    =  Vector([1, 2, 3, 4]    )
         self.assertEqual(len(_lowerCamelCase    )     ,			4    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Any		    =  Vector([1, 2]    )
         __UpperCamelCase	:	Optional[int]		    =  Vector([1, 2, 3, 4, 5]    )
         __UpperCamelCase	:	Optional[Any]		    =  Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]    )
         __UpperCamelCase	:	List[str]		    =  Vector([1, -1, 1, -1, 2, -3, 4, -5]    )
         self.assertAlmostEqual(x.euclidean_length()     ,			2.2_3_6     ,			3    )
         self.assertAlmostEqual(y.euclidean_length()     ,			7.4_1_6     ,			3    )
         self.assertEqual(z.euclidean_length()     ,			0    )
         self.assertAlmostEqual(w.euclidean_length()     ,			7.6_1_6     ,			3    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	int		    =  Vector([1, 2, 3]    )
         __UpperCamelCase	:	List[str]		    =  Vector([1, 1, 1]    )
         self.assertEqual((x + y).component(0    )     ,			2    )
         self.assertEqual((x + y).component(1    )     ,			3    )
         self.assertEqual((x + y).component(2    )     ,			4    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Optional[Any]		    =  Vector([1, 2, 3]    )
         __UpperCamelCase	:	Dict		    =  Vector([1, 1, 1]    )
         self.assertEqual((x - y).component(0    )     ,			0    )
         self.assertEqual((x - y).component(1    )     ,			1    )
         self.assertEqual((x - y).component(2    )     ,			2    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Dict		    =  Vector([1, 2, 3]    )
         __UpperCamelCase	:	int		    =  Vector([2, -1, 4]    )  # for test of dot product
         __UpperCamelCase	:	int		    =  Vector([1, -2, -1]    )
         self.assertEqual(str(x * 3.0    )     ,			'(3.0,6.0,9.0)'    )
         self.assertEqual((a * b)     ,			0    )







     def lowerCAmelCase     (		self    ):
         self.assertEqual(str(zero_vector(1_0    )    ).count('0'    )     ,			1_0    )







     def lowerCAmelCase     (		self    ):
         self.assertEqual(str(unit_basis_vector(3     ,			1    )    )     ,			'(0,1,0)'    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Optional[int]		    =  Vector([1, 2, 3]    )
         __UpperCamelCase	:	Union[str, Any]		    =  Vector([1, 0, 1]    )
         self.assertEqual(str(axpy(2     ,			_lowerCamelCase     ,			_lowerCamelCase    )    )     ,			'(3,4,7)'    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	List[str]		    =  Vector([1, 0, 0, 0, 0, 0]    )
         __UpperCamelCase	:	Optional[Any]		    =  x.copy()
         self.assertEqual(str(_lowerCamelCase    )     ,			str(_lowerCamelCase    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	List[str]		    =  Vector([1, 0, 0]    )
         x.change_component(0     ,			0    )
         x.change_component(1     ,			1    )
         self.assertEqual(str(_lowerCamelCase    )     ,			'(0,1,0)'    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Tuple		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         self.assertEqual('|1,2,3|\n|2,4,5|\n|6,7,8|\n'     ,			str(_lowerCamelCase    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Optional[int]		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         __UpperCamelCase	:	List[str]		    =  [[-3, -1_4, -1_0], [-5, -1_0, -5], [-2, -1, 0]]
         for x in range(a.height()    ):
             for y in range(a.width()    ):
                 self.assertEqual(minors[x][y]     ,			a.minor(_lowerCamelCase     ,			_lowerCamelCase    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	int		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         __UpperCamelCase	:	List[str]		    =  [[-3, 1_4, -1_0], [5, -1_0, 5], [-2, 1, 0]]
         for x in range(a.height()    ):
             for y in range(a.width()    ):
                 self.assertEqual(cofactors[x][y]     ,			a.cofactor(_lowerCamelCase     ,			_lowerCamelCase    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Any		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         self.assertEqual(-5     ,			a.determinant()    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	int		    =  Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]     ,			3     ,			3    )
         __UpperCamelCase	:	Union[str, Any]		    =  Vector([1, 2, 3]    )
         self.assertEqual('(14,32,50)'     ,			str(a * x    )    )
         self.assertEqual('|2,4,6|\n|8,10,12|\n|14,16,18|\n'     ,			str(a * 2    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Union[str, Any]		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         a.change_component(0     ,			2     ,			5    )
         self.assertEqual('|1,2,5|\n|2,4,5|\n|6,7,8|\n'     ,			str(_lowerCamelCase    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	int		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         self.assertEqual(7     ,			a.component(2     ,			1    )     ,			0.0_1    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	List[str]		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         __UpperCamelCase	:	Optional[Any]		    =  Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 1_0]]     ,			3     ,			3    )
         self.assertEqual('|2,4,10|\n|4,8,10|\n|12,14,18|\n'     ,			str(a + b    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Optional[int]		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         __UpperCamelCase	:	Optional[int]		    =  Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 1_0]]     ,			3     ,			3    )
         self.assertEqual('|0,0,-4|\n|0,0,0|\n|0,0,-2|\n'     ,			str(a - b    )    )







     def lowerCAmelCase     (		self    ):
         self.assertEqual(
             '|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n'     ,			str(square_zero_matrix(5    )    )     ,			)


if __name__ == "__main__":
  unittest.main()



