


"""simple docstring"""




import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 	_a							(      UpperCamelCase__					,     unittest.TestCase      ):
							_lowercase     :      List[Any]  				=			RobertaTokenizer
							_lowercase     :      int  				=			RobertaTokenizerFast
							_lowercase     :      str  				=			True
							_lowercase     :      int  				=			{'''cls_token''': '''<s>'''}

							def 				lowerCamelCase_			(							self:     Any							)      ->       Any:





									"""simple docstring"""







									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									lowercase__						=				[
									    '''l''',
									    '''o''',
									    '''w''',
									    '''e''',
									    '''r''',
									    '''s''',
									    '''t''',
									    '''i''',
									    '''d''',
									    '''n''',
									    '''\u0120''',
									    '''\u0120l''',
									    '''\u0120n''',
									    '''\u0120lo''',
									    '''\u0120low''',
									    '''er''',
									    '''\u0120lowest''',
									    '''\u0120newer''',
									    '''\u0120wider''',
									    '''<unk>''',
									]
									lowercase__						=				dict(zip(UpperCamelCase_   ,						range(len(UpperCamelCase_							)							)							)							)
									lowercase__						=				['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
									lowercase__						=				{'''unk_token''': '''<unk>'''}

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

							def 				lowerCamelCase_			(							self:     Tuple   ,						**UpperCamelCase_:     Optional[Any]							)      ->       int:





									"""simple docstring"""







									kwargs.update(self.special_tokens_map							)
									return self.tokenizer_class.from_pretrained(self.tmpdirname   ,						**UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     str   ,						**UpperCamelCase_:     Optional[int]							)      ->       Tuple:





									"""simple docstring"""







									kwargs.update(self.special_tokens_map							)
									return RobertaTokenizerFast.from_pretrained(self.tmpdirname   ,						**UpperCamelCase_							)

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





									"""simple docstring"""







									lowercase__						=				'''lower newer'''
									lowercase__						=				'''lower newer'''
									return input_text, output_text

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





									"""simple docstring"""







									lowercase__						=				self.tokenizer_class(self.vocab_file   ,						self.merges_file   ,						**self.special_tokens_map							)
									lowercase__						=				'''lower newer'''
									lowercase__						=				['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
									lowercase__						=				tokenizer.tokenize(UpperCamelCase_							)  # , add_prefix_space=True)
									self.assertListEqual(UpperCamelCase_   ,						UpperCamelCase_							)

									lowercase__						=				tokens + [tokenizer.unk_token]
									lowercase__						=				[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_							)   ,						UpperCamelCase_							)

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





									"""simple docstring"""







									lowercase__						=				self.get_tokenizer()

									self.assertListEqual(tokenizer.encode('''Hello world!'''   ,						add_special_tokens=UpperCamelCase_							)   ,						[0, 31_414, 232, 328, 2]							)
									self.assertListEqual(
									    tokenizer.encode('''Hello world! cécé herlolip 418'''   ,						add_special_tokens=UpperCamelCase_							)   ,						[0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]   ,						)

							@slow
							def 				lowerCamelCase_			(							self:     Tuple							)      ->       Union[str, Any]:





									"""simple docstring"""







									lowercase__						=				self.tokenizer_class.from_pretrained('''roberta-base'''							)

									lowercase__						=				tokenizer.encode('''sequence builders'''   ,						add_special_tokens=UpperCamelCase_							)
									lowercase__						=				tokenizer.encode('''multi-sequence build'''   ,						add_special_tokens=UpperCamelCase_							)

									lowercase__						=				tokenizer.encode(
									    '''sequence builders'''   ,						add_special_tokens=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_							)
									lowercase__						=				tokenizer.encode(
									    '''sequence builders'''   ,						'''multi-sequence build'''   ,						add_special_tokens=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_							)

									lowercase__						=				tokenizer.build_inputs_with_special_tokens(UpperCamelCase_							)
									lowercase__						=				tokenizer.build_inputs_with_special_tokens(UpperCamelCase_   ,						UpperCamelCase_							)

									assert encoded_sentence == encoded_text_from_decode
									assert encoded_pair == encoded_pair_from_decode

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





									"""simple docstring"""







									lowercase__						=				self.get_tokenizer()

									lowercase__						=				'''Encode this sequence.'''
									lowercase__						=				tokenizer.byte_encoder[''' '''.encode('''utf-8'''							)[0]]

									# Testing encoder arguments
									lowercase__						=				tokenizer.encode(UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_							)
									lowercase__						=				tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
									self.assertNotEqual(UpperCamelCase_   ,						UpperCamelCase_							)

									lowercase__						=				tokenizer.encode(UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_							)
									lowercase__						=				tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
									self.assertEqual(UpperCamelCase_   ,						UpperCamelCase_							)

									tokenizer.add_special_tokens({'''bos_token''': '''<s>'''}							)
									lowercase__						=				tokenizer.encode(UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_							)
									lowercase__						=				tokenizer.convert_ids_to_tokens(encoded[1]							)[0]
									self.assertNotEqual(UpperCamelCase_   ,						UpperCamelCase_							)

									# Testing spaces after special tokens
									lowercase__						=				'''<mask>'''
									tokenizer.add_special_tokens(
									    {'''mask_token''': AddedToken(UpperCamelCase_   ,						lstrip=UpperCamelCase_   ,						rstrip=UpperCamelCase_							)}							)  # mask token has a left space
									lowercase__						=				tokenizer.convert_tokens_to_ids(UpperCamelCase_							)

									lowercase__						=				'''Encode <mask> sequence'''
									lowercase__						=				'''Encode <mask>sequence'''

									lowercase__						=				tokenizer.encode(UpperCamelCase_							)
									lowercase__						=				encoded.index(UpperCamelCase_							)
									lowercase__						=				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
									self.assertEqual(UpperCamelCase_   ,						UpperCamelCase_							)

									lowercase__						=				tokenizer.encode(UpperCamelCase_							)
									lowercase__						=				encoded.index(UpperCamelCase_							)
									lowercase__						=				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
									self.assertNotEqual(UpperCamelCase_   ,						UpperCamelCase_							)

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





									"""simple docstring"""







									pass

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





									"""simple docstring"""







									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'							):
													lowercase__						=				self.rust_tokenizer_class.from_pretrained(UpperCamelCase_   ,						**UpperCamelCase_							)
													lowercase__						=				self.tokenizer_class.from_pretrained(UpperCamelCase_   ,						**UpperCamelCase_							)
													lowercase__						=				'''A, <mask> AllenNLP sentence.'''
													lowercase__						=				tokenizer_r.encode_plus(UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_   ,						return_token_type_ids=UpperCamelCase_							)
													lowercase__						=				tokenizer_p.encode_plus(UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_   ,						return_token_type_ids=UpperCamelCase_							)

													# token_type_ids should put 0 everywhere
													self.assertEqual(sum(tokens_r['''token_type_ids''']							)   ,						sum(tokens_p['''token_type_ids''']							)							)

													# attention_mask should put 1 everywhere, so sum over length should be 1
													self.assertEqual(
													    sum(tokens_r['''attention_mask''']							) / len(tokens_r['''attention_mask''']							)   ,						sum(tokens_p['''attention_mask''']							) / len(tokens_p['''attention_mask''']							)   ,						)

													lowercase__						=				tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']							)
													lowercase__						=				tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids''']							)

													# Rust correctly handles the space before the mask while python doesnt
													self.assertSequenceEqual(tokens_p['''input_ids''']   ,						[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]							)
													self.assertSequenceEqual(tokens_r['''input_ids''']   ,						[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]							)

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

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





									"""simple docstring"""







									for trim_offsets, add_prefix_space in itertools.product([True, False]   ,						repeat=2							):
											lowercase__						=				self.rust_tokenizer_class.from_pretrained(
											    self.tmpdirname   ,						use_fast=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_   ,						trim_offsets=UpperCamelCase_							)

											lowercase__						=				json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()							)
											lowercase__						=				json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()							)

											self.assertEqual(pre_tokenizer_state['''add_prefix_space''']   ,						UpperCamelCase_							)

											self.assertEqual(post_processor_state['''add_prefix_space''']   ,						UpperCamelCase_							)
											self.assertEqual(post_processor_state['''trim_offsets''']   ,						UpperCamelCase_							)


							def 				lowerCamelCase_			(							self:     int							)      ->       int:





									"""simple docstring"""







									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'							):
													lowercase__						=				'''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
													lowercase__						=				f'{text_of_1_token} {text_of_1_token}'

													lowercase__						=				self.rust_tokenizer_class.from_pretrained(
													    UpperCamelCase_   ,						use_fast=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_   ,						trim_offsets=UpperCamelCase_							)
													lowercase__						=				tokenizer_r(UpperCamelCase_   ,						return_offsets_mapping=UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_							)
													self.assertEqual(encoding.offset_mapping[0]   ,						(0, len(UpperCamelCase_							))							)
													self.assertEqual(
													    encoding.offset_mapping[1]   ,						(len(UpperCamelCase_							) + 1, len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))   ,						)

													lowercase__						=				self.rust_tokenizer_class.from_pretrained(
													    UpperCamelCase_   ,						use_fast=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_   ,						trim_offsets=UpperCamelCase_							)
													lowercase__						=				tokenizer_r(UpperCamelCase_   ,						return_offsets_mapping=UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_							)
													self.assertEqual(encoding.offset_mapping[0]   ,						(0, len(UpperCamelCase_							))							)
													self.assertEqual(
													    encoding.offset_mapping[1]   ,						(len(UpperCamelCase_							) + 1, len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))   ,						)

													lowercase__						=				self.rust_tokenizer_class.from_pretrained(
													    UpperCamelCase_   ,						use_fast=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_   ,						trim_offsets=UpperCamelCase_							)
													lowercase__						=				tokenizer_r(UpperCamelCase_   ,						return_offsets_mapping=UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_							)
													self.assertEqual(encoding.offset_mapping[0]   ,						(0, len(UpperCamelCase_							))							)
													self.assertEqual(
													    encoding.offset_mapping[1]   ,						(len(UpperCamelCase_							), len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))   ,						)

													lowercase__						=				self.rust_tokenizer_class.from_pretrained(
													    UpperCamelCase_   ,						use_fast=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_   ,						trim_offsets=UpperCamelCase_							)
													lowercase__						=				tokenizer_r(UpperCamelCase_   ,						return_offsets_mapping=UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_							)
													self.assertEqual(encoding.offset_mapping[0]   ,						(0, len(UpperCamelCase_							))							)
													self.assertEqual(
													    encoding.offset_mapping[1]   ,						(len(UpperCamelCase_							), len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))   ,						)

													lowercase__						=				f' {text}'

													# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
													#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
													# )
													# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
													# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
													# self.assertEqual(
													#     encoding.offset_mapping[1],
													#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
													# )

													lowercase__						=				self.rust_tokenizer_class.from_pretrained(
													    UpperCamelCase_   ,						use_fast=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_   ,						trim_offsets=UpperCamelCase_							)
													lowercase__						=				tokenizer_r(UpperCamelCase_   ,						return_offsets_mapping=UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_							)
													self.assertEqual(encoding.offset_mapping[0]   ,						(1, 1 + len(UpperCamelCase_							))							)
													self.assertEqual(
													    encoding.offset_mapping[1]   ,						(1 + len(UpperCamelCase_							) + 1, 1 + len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))   ,						)

													lowercase__						=				self.rust_tokenizer_class.from_pretrained(
													    UpperCamelCase_   ,						use_fast=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_   ,						trim_offsets=UpperCamelCase_							)
													lowercase__						=				tokenizer_r(UpperCamelCase_   ,						return_offsets_mapping=UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_							)
													self.assertEqual(encoding.offset_mapping[0]   ,						(0, 1 + len(UpperCamelCase_							))							)
													self.assertEqual(
													    encoding.offset_mapping[1]   ,						(1 + len(UpperCamelCase_							), 1 + len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))   ,						)

													lowercase__						=				self.rust_tokenizer_class.from_pretrained(
													    UpperCamelCase_   ,						use_fast=UpperCamelCase_   ,						add_prefix_space=UpperCamelCase_   ,						trim_offsets=UpperCamelCase_							)
													lowercase__						=				tokenizer_r(UpperCamelCase_   ,						return_offsets_mapping=UpperCamelCase_   ,						add_special_tokens=UpperCamelCase_							)
													self.assertEqual(encoding.offset_mapping[0]   ,						(0, 1 + len(UpperCamelCase_							))							)
													self.assertEqual(
													    encoding.offset_mapping[1]   ,						(1 + len(UpperCamelCase_							), 1 + len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))   ,						)






from collections.abc import Sequence
from queue import Queue


class 	_a							:

							def __init__(							self:     Tuple   ,						UpperCamelCase_:     Optional[int]   ,						UpperCamelCase_:     int   ,						UpperCamelCase_:     Optional[Any]   ,						UpperCamelCase_:     Union[str, Any]=None   ,						UpperCamelCase_:     Dict=None							)      ->       Tuple:





									"""simple docstring"""







									lowercase__						=				start
									lowercase__						=				end
									lowercase__						=				val
									lowercase__						=				(start + end) // 2
									lowercase__						=				left
									lowercase__						=				right


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





									"""simple docstring"""







									return f'SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'


class 	_a							:

							def __init__(							self:     Any   ,						UpperCamelCase_:     Sequence   ,						UpperCamelCase_:     Any							)      ->       List[str]:





									"""simple docstring"""







									lowercase__						=				collection
									lowercase__						=				function
									if self.collection:
											lowercase__						=				self._build_tree(0   ,						len(UpperCamelCase_							) - 1							)

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





									"""simple docstring"""







									self._update_tree(self.root   ,						UpperCamelCase_   ,						UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     str   ,						UpperCamelCase_:     int   ,						UpperCamelCase_:     List[str]							)      ->       Optional[Any]:





									"""simple docstring"""







									return self._query_range(self.root   ,						UpperCamelCase_   ,						UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     List[str]   ,						UpperCamelCase_:     Tuple   ,						UpperCamelCase_:     Dict							)      ->       str:





									"""simple docstring"""







									if start == end:
											return SegmentTreeNode(UpperCamelCase_   ,						UpperCamelCase_   ,						self.collection[start]							)
									lowercase__						=				(start + end) // 2
									lowercase__						=				self._build_tree(UpperCamelCase_   ,						UpperCamelCase_							)
									lowercase__						=				self._build_tree(mid + 1   ,						UpperCamelCase_							)
									return SegmentTreeNode(UpperCamelCase_   ,						UpperCamelCase_   ,						self.fn(left.val   ,						right.val							)   ,						UpperCamelCase_   ,						UpperCamelCase_							)

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





									"""simple docstring"""







									if node.start == i and node.end == i:
											lowercase__						=				val
											return
									if i <= node.mid:
											self._update_tree(node.left   ,						UpperCamelCase_   ,						UpperCamelCase_							)
									else:
											self._update_tree(node.right   ,						UpperCamelCase_   ,						UpperCamelCase_							)
									lowercase__						=				self.fn(node.left.val   ,						node.right.val							)

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





									"""simple docstring"""







									if node.start == i and node.end == j:
											return node.val

									if i <= node.mid:
											if j <= node.mid:
													# range in left child tree
													return self._query_range(node.left   ,						UpperCamelCase_   ,						UpperCamelCase_							)
											else:
													# range in left child tree and right child tree
													return self.fn(
													    self._query_range(node.left   ,						UpperCamelCase_   ,						node.mid							)   ,						self._query_range(node.right   ,						node.mid + 1   ,						UpperCamelCase_							)   ,						)
									else:
											# range in right child tree
											return self._query_range(node.right   ,						UpperCamelCase_   ,						UpperCamelCase_							)


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





									"""simple docstring"""







									if self.root is not None:
											lowercase__						=				Queue()
											queue.put(self.root							)
											while not queue.empty():
													lowercase__						=				queue.get()
													yield node

													if node.left is not None:
															queue.put(node.left							)

													if node.right is not None:
															queue.put(node.right							)


if __name__ == "__main__":
			import operator

			for fn in [operator.add, max, min]:
						print('*' * 50)
						lowerCAmelCase	=							SegmentTree([2, 1, 5, 3, 4], fn)
						for node in arr.traverse():
									print(node)
						print()

						arr.update(1, 5)
						for node in arr.traverse():
									print(node)
						print()

						print(arr.query_range(3, 4))  # 7
						print(arr.query_range(2, 2))  # 5
						print(arr.query_range(1, 3))  # 13
						print()


