






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 						lowerCamelCase_				(      lowerCamelCase			,				unittest.TestCase ):
				a__					       =  LEDTokenizer
				a__					       =  LEDTokenizerFast
				a__					       =  True







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

								__magic_name__		:Union[str, Any]        =      os.path.join(self.tmpdirname       ,					VOCAB_FILES_NAMES['''vocab_file''']     )
								__magic_name__		:List[Any]        =      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 			A	(						self       ,					**__lowerCAmelCase     ):
								"""simple docstring"""
								kwargs.update(self.special_tokens_map     )
								return self.tokenizer_class.from_pretrained(self.tmpdirname       ,					**__lowerCAmelCase     )







				def 			A	(						self       ,					**__lowerCAmelCase     ):
								"""simple docstring"""
								kwargs.update(self.special_tokens_map     )
								return self.rust_tokenizer_class.from_pretrained(self.tmpdirname       ,					**__lowerCAmelCase     )







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								return "lower newer", "lower newer"







				@cached_property
				def 			A	(						self     ):
								"""simple docstring"""
								return LEDTokenizer.from_pretrained('''allenai/led-base-16384'''     )







				@cached_property
				def 			A	(						self     ):
								"""simple docstring"""
								return LEDTokenizerFast.from_pretrained('''allenai/led-base-16384'''     )







				@require_torch
				def 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:str        =      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
								__magic_name__		:Tuple        =      [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]:
												__magic_name__		: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     )
												__magic_name__		:str        =      batch.input_ids.tolist()[0]
												self.assertListEqual(__lowerCAmelCase       ,					__lowerCAmelCase     )







				@require_torch
				def 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:List[Any]        =      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
								for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
												__magic_name__		:Dict        =      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 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:Optional[Any]        =      [
								    '''Summary of the text.''',
								    '''Another summary.''',
								]
								for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
												__magic_name__		:Optional[Any]        =      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 			A	(						self     ):
								"""simple docstring"""
								for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
												__magic_name__		:Union[str, Any]        =      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 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:List[Any]        =      ['''A long paragraph for summarization.''']
								__magic_name__		:Optional[Any]        =      [
								    '''Summary of the text.''',
								]
								for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
												__magic_name__		:Any        =      tokenizer(__lowerCAmelCase       ,					return_tensors='''pt'''     )
												__magic_name__		:str        =      tokenizer(text_target=__lowerCAmelCase       ,					return_tensors='''pt'''     )
												__magic_name__		:int        =      inputs['''input_ids''']
												__magic_name__		: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 			A	(						self     ):
								"""simple docstring"""
								for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
												__magic_name__		:Tuple        =      ['''Summary of the text.''', '''Another summary.''']
												__magic_name__		:int        =      [[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, -1]]

												__magic_name__		:List[Any]        =      tokenizer(__lowerCAmelCase       ,					padding=__lowerCAmelCase     )
												__magic_name__		:List[str]        =      [[0] * len(__lowerCAmelCase     ) for x in encoded_output['''input_ids''']]
												__magic_name__		:Union[str, Any]        =      tokenizer.pad(__lowerCAmelCase     )
												self.assertSequenceEqual(outputs['''global_attention_mask''']       ,					__lowerCAmelCase     )







				def 			A	(						self     ):
								"""simple docstring"""
								pass







				def 			A	(						self     ):
								"""simple docstring"""
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
																__magic_name__		:List[Any]        =      self.rust_tokenizer_class.from_pretrained(__lowerCAmelCase       ,					**__lowerCAmelCase     )
																__magic_name__		:List[Any]        =      self.tokenizer_class.from_pretrained(__lowerCAmelCase       ,					**__lowerCAmelCase     )
																__magic_name__		:Tuple        =      '''A, <mask> AllenNLP sentence.'''
																__magic_name__		:Union[str, Any]        =      tokenizer_r.encode_plus(__lowerCAmelCase       ,					add_special_tokens=__lowerCAmelCase       ,					return_token_type_ids=__lowerCAmelCase     )
																__magic_name__		: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''']     )       ,					)

																__magic_name__		:Optional[int]        =      tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']     )
																__magic_name__		:Union[str, Any]        =      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>''']     )














from __future__ import annotations

from typing import Any
class 						lowerCamelCase_				:







				def __init__(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase       ,					__lowerCAmelCase = 0     ):
								"""simple docstring"""
								__magic_name__     ,				__magic_name__		:Any        =      row, column
								__magic_name__		:Union[str, Any]        =      [[default_value for c in range(__lowerCAmelCase     )] for r in range(__lowerCAmelCase     )]







				def __str__(						self     ):
								"""simple docstring"""
								__magic_name__		:str        =      F'''Matrix consist of {self.row} rows and {self.column} columns\n'''

								# Make string identifier
								__magic_name__		:Dict        =      0
								for row_vector in self.array:
												for obj in row_vector:
																__magic_name__		:Dict        =      max(__lowerCAmelCase       ,					len(str(__lowerCAmelCase     )     )     )
								__magic_name__		:List[str]        =      F'''%{max_element_length}s'''

								# Make string and return
								def single_line(__lowerCAmelCase     ) -> str:
												nonlocal string_format_identifier
												__magic_name__		:int        =      '''['''
												line += ", ".join(string_format_identifier % (obj,) for obj in row_vector     )
												line += "]"
												return line

								s += "\n".join(single_line(__lowerCAmelCase     ) for row_vector in self.array     )
								return s







				def __repr__(						self     ):
								"""simple docstring"""
								return str(self     )







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								if not (isinstance(__lowerCAmelCase       ,					(list, tuple)     ) and len(__lowerCAmelCase     ) == 2):
												return False
								elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
												return False
								else:
												return True







				def __getitem__(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								assert self.validate_indicies(__lowerCAmelCase     )
								return self.array[loc[0]][loc[1]]







				def __setitem__(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								assert self.validate_indicies(__lowerCAmelCase     )
								__magic_name__		:List[Any]        =      value







				def __add__(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								assert isinstance(__lowerCAmelCase       ,					__lowerCAmelCase     )
								assert self.row == another.row and self.column == another.column

								# Add
								__magic_name__		:List[Any]        =      Matrix(self.row       ,					self.column     )
								for r in range(self.row     ):
												for c in range(self.column     ):
																__magic_name__		:Any        =      self[r, c] + another[r, c]
								return result







				def __neg__(						self     ):
								"""simple docstring"""
								__magic_name__		:Dict        =      Matrix(self.row       ,					self.column     )
								for r in range(self.row     ):
												for c in range(self.column     ):
																__magic_name__		:Any        =      -self[r, c]
								return result







				def __sub__(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								return self + (-another)







				def __mul__(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""

								if isinstance(__lowerCAmelCase       ,					(int, float)     ):  # Scalar multiplication
												__magic_name__		:List[str]        =      Matrix(self.row       ,					self.column     )
												for r in range(self.row     ):
																for c in range(self.column     ):
																				__magic_name__		:Tuple        =      self[r, c] * another
												return result
								elif isinstance(__lowerCAmelCase       ,					__lowerCAmelCase     ):  # Matrix multiplication
												assert self.column == another.row
												__magic_name__		:List[Any]        =      Matrix(self.row       ,					another.column     )
												for r in range(self.row     ):
																for c in range(another.column     ):
																				for i in range(self.column     ):
																								result[r, c] += self[r, i] * another[i, c]
												return result
								else:
												__magic_name__		:List[str]        =      F'''Unsupported type given for another ({type(__lowerCAmelCase     )})'''
												raise TypeError(__lowerCAmelCase     )







				def 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:int        =      Matrix(self.column       ,					self.row     )
								for r in range(self.row     ):
												for c in range(self.column     ):
																__magic_name__		:List[str]        =      self[r, c]
								return result







				def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								assert isinstance(__lowerCAmelCase       ,					__lowerCAmelCase     ) and isinstance(__lowerCAmelCase       ,					__lowerCAmelCase     )
								assert self.row == self.column == u.row == v.row  # u, v should be column vector
								assert u.column == v.column == 1  # u, v should be column vector

								# Calculate
								__magic_name__		:int        =      v.transpose()
								__magic_name__		:str        =      (v_t * self * u)[0, 0] + 1
								if numerator_factor == 0:
												return None  # It's not invertable
								return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":

					def      __lowercase					( ):







									"""simple docstring"""






									__magic_name__		:Optional[int]        =      Matrix(3,  3,  0 )
									for i in range(3 ):
													__magic_name__		:Tuple        =      1
									print(f'''a^(-1) is {ainv}''' )
									# u, v
									__magic_name__		:Optional[int]        =      Matrix(3,  1,  0 )
									__magic_name__     ,				__magic_name__     ,				__magic_name__		:Optional[int]        =      1, 2, -3
									__magic_name__		:int        =      Matrix(3,  1,  0 )
									__magic_name__     ,				__magic_name__     ,				__magic_name__		:str        =      4, -2, 5
									print(f'''u is {u}''' )
									print(f'''v is {v}''' )
									print(f'''uv^T is {u * v.transpose()}''' )
									# Sherman Morrison
									print(f'''(a + uv^T)^(-1) is {ainv.sherman_morrison(snake_case,  snake_case )}''' )

					def      __lowercase					( ):







									"""simple docstring"""






									import doctest

									doctest.testmod()

					testa()






