

import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 				lowercase       ( lowercase_			,						unittest.TestCase    ):
				__SCREAMING_SNAKE_CASE      :				int     =    LongformerTokenizer
				__SCREAMING_SNAKE_CASE      :				Dict     =    True
				__SCREAMING_SNAKE_CASE      :				Union[str, Any]     =    LongformerTokenizerFast
				__SCREAMING_SNAKE_CASE      :				Optional[Any]     =    True




				def 					a							(      self ):
											super().setUp()

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

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




				def 					a							(      self   ,     **snake_case ):
											kwargs.update(self.special_tokens_map )
											return self.tokenizer_class.from_pretrained(self.tmpdirname   ,     **snake_case )




				def 					a							(      self   ,     **snake_case ):
											kwargs.update(self.special_tokens_map )
											return self.rust_tokenizer_class.from_pretrained(self.tmpdirname   ,     **snake_case )




				def 					a							(      self   ,     snake_case ):
											snake_case_           =					'lower newer'
											snake_case_           =					'lower newer'
											return input_text, output_text




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

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




				def 					a							(      self ):
											snake_case_           =					self.get_tokenizer()

											self.assertListEqual(tokenizer.encode('Hello world!'   ,     add_special_tokens=snake_case )   ,     [0, 3_1414, 232, 328, 2] )
											self.assertListEqual(
											    tokenizer.encode('Hello world! cécé herlolip 418'   ,     add_special_tokens=snake_case )   ,     [0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]   ,     )




				@slow
				def 					a							(      self ):
											snake_case_           =					self.tokenizer_class.from_pretrained('allenai/longformer-base-4096' )

											snake_case_           =					tokenizer.encode('sequence builders'   ,     add_special_tokens=snake_case )
											snake_case_           =					tokenizer.encode('multi-sequence build'   ,     add_special_tokens=snake_case )

											snake_case_           =					tokenizer.encode(
											    'sequence builders'   ,     add_special_tokens=snake_case   ,     add_prefix_space=snake_case )
											snake_case_           =					tokenizer.encode(
											    'sequence builders'   ,     'multi-sequence build'   ,     add_special_tokens=snake_case   ,     add_prefix_space=snake_case )

											snake_case_           =					tokenizer.build_inputs_with_special_tokens(snake_case )
											snake_case_           =					tokenizer.build_inputs_with_special_tokens(snake_case   ,     snake_case )

											assert encoded_sentence == encoded_text_from_decode
											assert encoded_pair == encoded_pair_from_decode




				def 					a							(      self ):
											snake_case_           =					self.get_tokenizer()

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

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

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

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

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

											snake_case_           =					'Encode <mask> sequence'
											snake_case_           =					'Encode <mask>sequence'

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

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




				def 					a							(      self ):
											pass




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

																									# 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'] )   ,     )

																									snake_case_           =					tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids'] )
																									snake_case_           =					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, 5_0264, 3823, 487, 2_1992, 3645, 4, 2] )
																									self.assertSequenceEqual(tokens_r['input_ids']   ,     [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2] )

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




				def 					a							(      self ):
											for trim_offsets, add_prefix_space in itertools.product([True, False]   ,     repeat=2 ):
																		snake_case_           =					self.rust_tokenizer_class.from_pretrained(
																		    self.tmpdirname   ,     use_fast=snake_case   ,     add_prefix_space=snake_case   ,     trim_offsets=snake_case )

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

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

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




				def 					a							(      self ):
											# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
											# `trim_offsets`
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
																									snake_case_           =					'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
																									snake_case_           =					F'''{text_of_1_token} {text_of_1_token}'''

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

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

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

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

																									snake_case_           =					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)),
																									# )

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

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

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







from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any







@dataclass
class 				lowercase       :
				__SCREAMING_SNAKE_CASE      :				int
				__SCREAMING_SNAKE_CASE      :				Node | None     =    None
				__SCREAMING_SNAKE_CASE      :				Node | None     =    None





def       __lowerCamelCase			(				):







							'''simple docstring'''






							snake_case_           =					Node(1   )
							snake_case_           =					Node(2   )
							snake_case_           =					Node(3   )
							snake_case_           =					Node(4   )
							snake_case_           =					Node(5   )
							return tree





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							return [root.data, *preorder(root.left   ), *preorder(root.right   )] if root else []





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							return postorder(root.left   ) + postorder(root.right   ) + [root.data] if root else []





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							return [*inorder(root.left   ), root.data, *inorder(root.right   )] if root else []





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							return (max(height(root.left   )     ,							height(root.right   )   ) + 1) if root else 0





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					[]

							if root is None:
														return output

							snake_case_           =					deque([root]   )

							while process_queue:
														snake_case_           =					process_queue.popleft()
														output.append(node.data   )

														if node.left:
																					process_queue.append(node.left   )
														if node.right:
																					process_queue.append(node.right   )
							return output





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					[]

							def populate_output(UpperCamelCase__     ,							UpperCamelCase__   ) -> None:
														if not root:
																					return
														if level == 1:
																					output.append(root.data   )
														elif level > 1:
																					populate_output(root.left     ,							level - 1   )
																					populate_output(root.right     ,							level - 1   )

							populate_output(UpperCamelCase__     ,							UpperCamelCase__   )
							return output





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					[]

							def populate_output(UpperCamelCase__     ,							UpperCamelCase__   ) -> None:
														if root is None:
																					return
														if level == 1:
																					output.append(root.data   )
														elif level > 1:
																					populate_output(root.right     ,							level - 1   )
																					populate_output(root.left     ,							level - 1   )

							populate_output(UpperCamelCase__     ,							UpperCamelCase__   )
							return output





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							if root is None:
														return []

							snake_case_           =					[]

							snake_case_           =					0
							snake_case_           =					height(UpperCamelCase__   )

							for h in range(1     ,							height_tree + 1   ):
														if not flag:
																					output.append(get_nodes_from_left_to_right(UpperCamelCase__     ,							UpperCamelCase__   )   )
																					snake_case_           =					1
														else:
																					output.append(get_nodes_from_right_to_left(UpperCamelCase__     ,							UpperCamelCase__   )   )
																					snake_case_           =					0

							return output





def       __lowerCamelCase			(				):  # Main function for testing.







							'''simple docstring'''






							snake_case_           =					make_tree()
							print(F'''In-order Traversal: {inorder(UpperCamelCase__   )}'''   )
							print(F'''Pre-order Traversal: {preorder(UpperCamelCase__   )}'''   )
							print(F'''Post-order Traversal: {postorder(UpperCamelCase__   )}'''     ,							'\n'   )

							print(F'''Height of Tree: {height(UpperCamelCase__   )}'''     ,							'\n'   )

							print('Complete Level Order Traversal: '   )
							print(level_order(UpperCamelCase__   )     ,							'\n'   )

							print('Level-wise order Traversal: '   )

							for level in range(1     ,							height(UpperCamelCase__   ) + 1   ):
														print(F'''Level {level}:'''     ,							get_nodes_from_left_to_right(UpperCamelCase__     ,							level=UpperCamelCase__   )   )

							print('\nZigZag order Traversal: '   )
							print(zigzag(UpperCamelCase__   )   )


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()




