




'''simple docstring'''







import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, 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


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


if is_torch_available():
   from transformers.models.mbart.modeling_mbart import shift_tokens_right

A									=25_00_04
A									=25_00_20


@require_sentencepiece
@require_tokenizers
class     _a						(			__lowercase							,							unittest.TestCase				):
       __a       :  int            =      MBartTokenizer
       __a       :  Optional[int]            =      MBartTokenizerFast
       __a       :  Optional[int]            =      True
       __a       :  str            =      True
       def 					A   (			self		:			Tuple       ):



           '''simple docstring'''

           super().setUp()

           # We have a SentencePiece fixture for testing
           UpperCAmelCase     =	MBartTokenizer(__a     ,       keep_accents=__a       )
           tokenizer.save_pretrained(self.tmpdirname       )
       def 					A   (			self		:			List[str]       ):



           '''simple docstring'''

           UpperCAmelCase     =	MBartTokenizer(__a     ,       keep_accents=__a       )

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

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

           UpperCAmelCase     =	tokenizer.tokenize('''I was born in 92000, and this is falsé.'''       )
           self.assertListEqual(
               __a     ,       [
                   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''',
                   '''.''',
               ]     ,       )
           UpperCAmelCase     =	tokenizer.convert_tokens_to_ids(__a       )
           self.assertListEqual(
               __a     ,       [
                   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]
                   #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
               ]     ,       )

           UpperCAmelCase     =	tokenizer.convert_ids_to_tokens(__a       )
           self.assertListEqual(
               __a     ,       [
                   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>''',
                   '''.''',
               ]     ,       )







       def 					A   (			self		:			Optional[Any]       ):



           '''simple docstring'''

           if not self.test_slow_tokenizer:
               # as we don't have a slow version, we can't compare the outputs between slow and fast versions
               return

           UpperCAmelCase     =	(self.rust_tokenizer_class, """hf-internal-testing/tiny-random-mbart""", {})
           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"       ):
                   UpperCAmelCase     =	self.rust_tokenizer_class.from_pretrained(__a     ,       **__a       )
                   UpperCAmelCase     =	self.tokenizer_class.from_pretrained(__a     ,       **__a       )

                   UpperCAmelCase     =	tempfile.mkdtemp()

                   UpperCAmelCase     =	tokenizer_r.save_pretrained(__a       )
                   UpperCAmelCase     =	tokenizer_p.save_pretrained(__a       )

                   # Checks it save with the same files + the tokenizer.json file for the fast one
                   self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files       )       )
                   UpperCAmelCase     =	tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f       )
                   self.assertSequenceEqual(__a     ,       __a       )

                   # Checks everything loads correctly in the same way
                   UpperCAmelCase     =	tokenizer_r.from_pretrained(__a       )
                   UpperCAmelCase     =	tokenizer_p.from_pretrained(__a       )

                   # Check special tokens are set accordingly on Rust and Python
                   for key in tokenizer_pp.special_tokens_map:
                       self.assertTrue(hasattr(__a     ,       __a       )       )
                       # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
                       # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

                   shutil.rmtree(__a       )

                   # Save tokenizer rust, legacy_format=True
                   UpperCAmelCase     =	tempfile.mkdtemp()

                   UpperCAmelCase     =	tokenizer_r.save_pretrained(__a     ,       legacy_format=__a       )
                   UpperCAmelCase     =	tokenizer_p.save_pretrained(__a       )

                   # Checks it save with the same files
                   self.assertSequenceEqual(__a     ,       __a       )

                   # Checks everything loads correctly in the same way
                   UpperCAmelCase     =	tokenizer_r.from_pretrained(__a       )
                   UpperCAmelCase     =	tokenizer_p.from_pretrained(__a       )

                   # Check special tokens are set accordingly on Rust and Python
                   for key in tokenizer_pp.special_tokens_map:
                       self.assertTrue(hasattr(__a     ,       __a       )       )

                   shutil.rmtree(__a       )

                   # Save tokenizer rust, legacy_format=False
                   UpperCAmelCase     =	tempfile.mkdtemp()

                   UpperCAmelCase     =	tokenizer_r.save_pretrained(__a     ,       legacy_format=__a       )
                   UpperCAmelCase     =	tokenizer_p.save_pretrained(__a       )

                   # Checks it saved the tokenizer.json file
                   self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files       )       )

                   # Checks everything loads correctly in the same way
                   UpperCAmelCase     =	tokenizer_r.from_pretrained(__a       )
                   UpperCAmelCase     =	tokenizer_p.from_pretrained(__a       )

                   # Check special tokens are set accordingly on Rust and Python
                   for key in tokenizer_pp.special_tokens_map:
                       self.assertTrue(hasattr(__a     ,       __a       )       )

                   shutil.rmtree(__a       )






@require_torch
@require_sentencepiece
@require_tokenizers
class     _a						(			unittest.TestCase				):
       __a       :  Dict            =      '''facebook/mbart-large-en-ro'''
       __a       :  int            =      [
           ''' UN Chief Says There Is No Military Solution in Syria''',
           ''' Secretary-General Ban Ki-moon says his response to Russia\'s stepped up military support for Syria is that "there is no military solution" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.''',
       ]
       __a       :  Optional[int]            =      [
           '''Şeful ONU declară că nu există o soluţie militară în Siria''',
           '''Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei'''
           ''' pentru Siria este că "nu există o soluţie militară" la conflictul de aproape cinci ani şi că noi arme nu vor'''
           ''' face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.''',
       ]
       __a       :  Optional[int]            =      [8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2, EN_CODE]
       @classmethod
       def 					A   (			cls		:			int       ):



           '''simple docstring'''

           UpperCAmelCase     =	MBartTokenizer.from_pretrained(
               cls.checkpoint_name     ,       src_lang='''en_XX'''     ,       tgt_lang='''ro_RO'''       )
           UpperCAmelCase     =	1
           return cls
       def 					A   (			self		:			Tuple       ):



           '''simple docstring'''

           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ar_AR''']     ,       250_001       )
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''en_EN''']     ,       250_004       )
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ro_RO''']     ,       250_020       )
       def 					A   (			self		:			Dict       ):



           '''simple docstring'''

           UpperCAmelCase     =	self.tokenizer.batch_encode_plus(self.src_text       ).input_ids[0]
           self.assertListEqual(self.expected_src_tokens     ,       __a       )
       def 					A   (			self		:			Optional[int]       ):



           '''simple docstring'''

           self.assertIn(__a     ,       self.tokenizer.all_special_ids       )
           UpperCAmelCase     =	[RO_CODE, 884, 9_019, 96, 9, 916, 86_792, 36, 18_743, 15_596, 5, 2]
           UpperCAmelCase     =	self.tokenizer.decode(__a     ,       skip_special_tokens=__a       )
           UpperCAmelCase     =	self.tokenizer.decode(generated_ids[1:]     ,       skip_special_tokens=__a       )
           self.assertEqual(__a     ,       __a       )
           self.assertNotIn(self.tokenizer.eos_token     ,       __a       )
       def 					A   (			self		:			List[Any]       ):



           '''simple docstring'''

           UpperCAmelCase     =	["""this is gunna be a long sentence """ * 20]
           assert isinstance(src_text[0]     ,       __a       )
           UpperCAmelCase     =	10
           UpperCAmelCase     =	self.tokenizer(__a     ,       max_length=__a     ,       truncation=__a       ).input_ids[0]
           self.assertEqual(ids[-2]     ,       2       )
           self.assertEqual(ids[-1]     ,       __a       )
           self.assertEqual(len(__a       )     ,       __a       )
       def 					A   (			self		:			str       ):



           '''simple docstring'''

           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']       )     ,       [250_026, 250_001]       )
       def 					A   (			self		:			Tuple       ):



           '''simple docstring'''

           UpperCAmelCase     =	tempfile.mkdtemp()
           UpperCAmelCase     =	self.tokenizer.fairseq_tokens_to_ids
           self.tokenizer.save_pretrained(__a       )
           UpperCAmelCase     =	MBartTokenizer.from_pretrained(__a       )
           self.assertDictEqual(new_tok.fairseq_tokens_to_ids     ,       __a       )
       @require_torch
       def 					A   (			self		:			Dict       ):



           '''simple docstring'''

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

           # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
           assert batch.input_ids[1][-2:].tolist() == [2, EN_CODE]
           assert batch.decoder_input_ids[1][0].tolist() == RO_CODE
           assert batch.decoder_input_ids[1][-1] == 2
           assert batch.labels[1][-2:].tolist() == [2, RO_CODE]
       @require_torch
       def 					A   (			self		:			Dict       ):



           '''simple docstring'''

           UpperCAmelCase     =	self.tokenizer(
               self.src_text     ,       text_target=self.tgt_text     ,       padding=__a     ,       truncation=__a     ,       max_length=len(self.expected_src_tokens       )     ,       return_tensors='''pt'''     ,       )

           UpperCAmelCase     =	shift_tokens_right(batch['''labels''']     ,       self.tokenizer.pad_token_id       )

           self.assertIsInstance(__a     ,       __a       )

           self.assertEqual((2, 14)     ,       batch.input_ids.shape       )
           self.assertEqual((2, 14)     ,       batch.attention_mask.shape       )
           UpperCAmelCase     =	batch.input_ids.tolist()[0]
           self.assertListEqual(self.expected_src_tokens     ,       __a       )
           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, EN_CODE]       )
       def 					A   (			self		:			str       ):



           '''simple docstring'''

           UpperCAmelCase     =	self.tokenizer(self.src_text     ,       padding=__a     ,       truncation=__a     ,       max_length=3     ,       return_tensors='''pt'''       )
           UpperCAmelCase     =	self.tokenizer(
               text_target=self.tgt_text     ,       padding=__a     ,       truncation=__a     ,       max_length=10     ,       return_tensors='''pt'''       )
           UpperCAmelCase     =	targets["""input_ids"""]
           UpperCAmelCase     =	shift_tokens_right(__a     ,       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 					A   (			self		:			Any       ):



           '''simple docstring'''

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

           self.assertEqual(
               nested_simplify(__a       )     ,       {
                   # A, test, EOS, en_XX
                   '''input_ids''': [[62, 3_034, 2, 250_004]],
                   '''attention_mask''': [[1, 1, 1, 1]],
                   # ar_AR
                   '''forced_bos_token_id''': 250_001,
               }     ,       )









'''simple docstring'''







from __future__ import annotations

import math


class     _a						:
       def __init__(			self		:			Dict     ,       lowercase		:			int       ):



           '''simple docstring'''

           UpperCAmelCase     =	size
           # approximate the overall size of segment tree with given value
           UpperCAmelCase     =	[0 for i in range(0     ,       4 * size       )]
           # create array to store lazy update
           UpperCAmelCase     =	[0 for i in range(0     ,       4 * size       )]
           UpperCAmelCase     =	[0 for i in range(0     ,       4 * size       )]  # flag for lazy update
       def 					A   (			self		:			List[str]     ,       lowercase		:			int       ):



           '''simple docstring'''

           return idx * 2
       def 					A   (			self		:			Optional[Any]     ,       lowercase		:			int       ):



           '''simple docstring'''

           return idx * 2 + 1
       def 					A   (			self		:			Dict     ,       lowercase		:			int     ,       lowercase		:			int     ,       lowercase		:			int     ,       lowercase		:			list[int]       ):



           '''simple docstring'''

           if left_element == right_element:
               UpperCAmelCase     =	a[left_element - 1]
           else:
               UpperCAmelCase     =	(left_element + right_element) // 2
               self.build(self.left(lowercase       )     ,       lowercase     ,       lowercase     ,       lowercase       )
               self.build(self.right(lowercase       )     ,       mid + 1     ,       lowercase     ,       lowercase       )
               UpperCAmelCase     =	max(
                   self.segment_tree[self.left(lowercase       )]     ,       self.segment_tree[self.right(lowercase       )]       )
       def 					A   (			self		:			Union[str, Any]     ,       lowercase		:			int     ,       lowercase		:			int     ,       lowercase		:			int     ,       lowercase		:			int     ,       lowercase		:			int     ,       lowercase		:			int       ):



           '''simple docstring'''

           if self.flag[idx] is True:
               UpperCAmelCase     =	self.lazy[idx]
               UpperCAmelCase     =	False
               if left_element != right_element:
                   UpperCAmelCase     =	self.lazy[idx]
                   UpperCAmelCase     =	self.lazy[idx]
                   UpperCAmelCase     =	True
                   UpperCAmelCase     =	True

           if right_element < a or left_element > b:
               return True
           if left_element >= a and right_element <= b:
               UpperCAmelCase     =	val
               if left_element != right_element:
                   UpperCAmelCase     =	val
                   UpperCAmelCase     =	val
                   UpperCAmelCase     =	True
                   UpperCAmelCase     =	True
               return True
           UpperCAmelCase     =	(left_element + right_element) // 2
           self.update(self.left(lowercase       )     ,       lowercase     ,       lowercase     ,       lowercase     ,       lowercase     ,       lowercase       )
           self.update(self.right(lowercase       )     ,       mid + 1     ,       lowercase     ,       lowercase     ,       lowercase     ,       lowercase       )
           UpperCAmelCase     =	max(
               self.segment_tree[self.left(lowercase       )]     ,       self.segment_tree[self.right(lowercase       )]       )
           return True
       def 					A   (			self		:			Any     ,       lowercase		:			int     ,       lowercase		:			int     ,       lowercase		:			int     ,       lowercase		:			int     ,       lowercase		:			int       ):



           '''simple docstring'''

           if self.flag[idx] is True:
               UpperCAmelCase     =	self.lazy[idx]
               UpperCAmelCase     =	False
               if left_element != right_element:
                   UpperCAmelCase     =	self.lazy[idx]
                   UpperCAmelCase     =	self.lazy[idx]
                   UpperCAmelCase     =	True
                   UpperCAmelCase     =	True
           if right_element < a or left_element > b:
               return -math.inf
           if left_element >= a and right_element <= b:
               return self.segment_tree[idx]
           UpperCAmelCase     =	(left_element + right_element) // 2
           UpperCAmelCase     =	self.query(self.left(lowercase       )     ,       lowercase     ,       lowercase     ,       lowercase     ,       lowercase       )
           UpperCAmelCase     =	self.query(self.right(lowercase       )     ,       mid + 1     ,       lowercase     ,       lowercase     ,       lowercase       )
           return max(lowercase     ,       lowercase       )







       def __str__(			self		:			Any       ):



           '''simple docstring'''

           return str([self.query(1     ,       1     ,       self.size     ,       lowercase     ,       lowercase       ) for i in range(1     ,       self.size + 1       )]       )


if __name__ == "__main__":
   A									=[1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
   A									=15
   A									=SegmentTree(size)
   segt.build(1, 1, size, A)
   print(segt.query(1, 1, size, 4, 6))
   print(segt.query(1, 1, size, 7, 11))
   print(segt.query(1, 1, size, 7, 12))
   segt.update(1, 1, size, 1, 3, 1_11)
   print(segt.query(1, 1, size, 1, 15))
   segt.update(1, 1, size, 7, 8, 2_35)
   print(segt)




