




'''simple docstring'''





import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase_						:      List[str]       =						"▁"

UpperCamelCase_						:      Any       =						get_tests_dir('''fixtures/test_sentencepiece.model''')

@require_sentencepiece
@require_tokenizers
class        _a    (						lowerCamelCase__ , unittest.TestCase							):
					SCREAMING_SNAKE_CASE_							:   Optional[int]       =						BigBirdTokenizer
					SCREAMING_SNAKE_CASE_							:   Optional[Any]       =						BigBirdTokenizerFast
					SCREAMING_SNAKE_CASE_							:   List[str]       =						True
					SCREAMING_SNAKE_CASE_							:   Dict       =						True






					def     _lowercase     (			self   )							->      List[Any]:
										super().setUp()

										_snake_case							=				self.tokenizer_class(__A ,keep_accents=__A   )
										tokenizer.save_pretrained(self.tmpdirname   )






					def     _lowercase     (			self   )							->      Dict:
										_snake_case							=				'''<s>'''
										_snake_case							=				1

										self.assertEqual(self.get_tokenizer()._convert_token_to_id(__A   ) ,__A   )
										self.assertEqual(self.get_tokenizer()._convert_id_to_token(__A   ) ,__A   )






					def     _lowercase     (			self   )							->      List[str]:
										_snake_case							=				list(self.get_tokenizer().get_vocab().keys()   )

										self.assertEqual(vocab_keys[0] ,"<unk>"   )
										self.assertEqual(vocab_keys[1] ,"<s>"   )
										self.assertEqual(vocab_keys[-1] ,"[MASK]"   )
										self.assertEqual(len(__A   ) ,1_004   )






					def     _lowercase     (			self   )							->      Any:
										self.assertEqual(self.get_tokenizer().vocab_size ,1_000   )






					def     _lowercase     (			self   )							->      int:
										if not self.test_rust_tokenizer:
															return

										_snake_case							=				self.get_tokenizer()
										_snake_case							=				self.get_rust_tokenizer()

										_snake_case							=				'''I was born in 92000, and this is falsé.'''

										_snake_case							=				tokenizer.tokenize(__A   )
										_snake_case							=				rust_tokenizer.tokenize(__A   )
										self.assertListEqual(__A ,__A   )

										_snake_case							=				tokenizer.encode(__A ,add_special_tokens=__A   )
										_snake_case							=				rust_tokenizer.encode(__A ,add_special_tokens=__A   )
										self.assertListEqual(__A ,__A   )

										_snake_case							=				self.get_rust_tokenizer()
										_snake_case							=				tokenizer.encode(__A   )
										_snake_case							=				rust_tokenizer.encode(__A   )
										self.assertListEqual(__A ,__A   )






					def     _lowercase     (			self   )							->      List[str]:
										_snake_case							=				BigBirdTokenizer(__A ,keep_accents=__A   )

										_snake_case							=				tokenizer.tokenize("This is a test"   )
										self.assertListEqual(__A ,["▁This", "▁is", "▁a", "▁t", "est"]   )

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(__A   ) ,[285, 46, 10, 170, 382] ,)

										_snake_case							=				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",
										        ".",
										    ] ,)
										_snake_case							=				tokenizer.convert_tokens_to_ids(__A   )
										self.assertListEqual(
										    __A ,[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4] ,)

										_snake_case							=				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>",
										        ".",
										    ] ,)






					@cached_property
					def     _lowercase     (			self   )							->      List[Any]:
										return BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"   )






					@slow
					def     _lowercase     (			self   )							->      Optional[Any]:
										_snake_case							=				'''Hello World!'''
										_snake_case							=				[65, 18_536, 2_260, 101, 66]

										self.assertListEqual(__A ,self.big_tokenizer.encode(__A   )   )






					@slow
					def     _lowercase     (			self   )							->      Optional[Any]:
										_snake_case							=				(
										    '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
										    ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
										)
										# fmt: off
										_snake_case							=				[65, 871, 419, 358, 946, 991, 2_521, 452, 358, 1_357, 387, 7_751, 3_536, 112, 985, 456, 126, 865, 938, 5_400, 5_734, 458, 1_368, 467, 786, 2_462, 5_246, 1_159, 633, 865, 4_519, 457, 582, 852, 2_557, 427, 916, 508, 405, 34_324, 497, 391, 408, 11_342, 1_244, 385, 100, 938, 985, 456, 574, 362, 12_597, 3_200, 3_129, 1_172, 66]  # noqa: E231
										# fmt: on
										self.assertListEqual(__A ,self.big_tokenizer.encode(__A   )   )






					@require_torch
					@slow
					def     _lowercase     (			self   )							->      Dict:
										import torch

										from transformers import BigBirdConfig, BigBirdModel

										# Build sequence
										_snake_case							=				list(self.big_tokenizer.get_vocab().keys()   )[:10]
										_snake_case							=				''' '''.join(__A   )
										_snake_case							=				self.big_tokenizer.encode_plus(__A ,return_tensors="pt" ,return_token_type_ids=__A   )
										_snake_case							=				self.big_tokenizer.batch_encode_plus(
										    [sequence + " " + sequence] ,return_tensors="pt" ,return_token_type_ids=__A   )

										_snake_case							=				BigBirdConfig(attention_type="original_full"   )
										_snake_case							=				BigBirdModel(__A   )

										assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

										with torch.no_grad():
															model(**__A   )
															model(**__A   )






					@slow
					def     _lowercase     (			self   )							->      Union[str, Any]:
										_snake_case							=				BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"   )
										_snake_case							=				tokenizer.decode(tokenizer("Paris is the [MASK]."   ).input_ids   )

										self.assertTrue(decoded_text == "[CLS] Paris is the[MASK].[SEP]"   )






					@slow
					def     _lowercase     (			self   )							->      Optional[Any]:
										# fmt: off
										_snake_case							=				{'''input_ids''': [[65, 39_286, 458, 36_335, 2_001, 456, 13_073, 13_266, 455, 113, 7_746, 1_741, 11_157, 391, 13_073, 13_266, 455, 113, 3_967, 35_412, 113, 4_936, 109, 3_870, 2_377, 113, 30_084, 45_720, 458, 134, 17_496, 112, 503, 11_672, 113, 118, 112, 5_665, 13_347, 38_687, 112, 1_496, 31_389, 112, 3_268, 47_264, 134, 962, 112, 16_377, 8_035, 23_130, 430, 12_169, 15_518, 28_592, 458, 146, 41_697, 109, 391, 12_169, 15_518, 16_689, 458, 146, 41_358, 109, 452, 726, 4_034, 111, 763, 35_412, 5_082, 388, 1_903, 111, 9_051, 391, 2_870, 48_918, 1_900, 1_123, 550, 998, 112, 9_586, 15_985, 455, 391, 410, 22_955, 37_636, 114, 66], [65, 448, 17_496, 419, 3_663, 385, 763, 113, 27_533, 2_870, 3_283, 13_043, 1_639, 24_713, 523, 656, 24_013, 18_550, 2_521, 517, 27_014, 21_244, 420, 1_212, 1_465, 391, 927, 4_833, 388, 578, 11_786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2_169, 7_687, 21_932, 18_146, 726, 363, 17_032, 3_391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
										# fmt: on

										self.tokenizer_integration_test_util(
										    expected_encoding=__A ,model_name="google/bigbird-roberta-base" ,revision="215c99f1600e06f83acce68422f2035b2b5c3510" ,)








'''simple docstring'''





from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass

@dataclass
class        _a    :
     SCREAMING_SNAKE_CASE_							:   int
     SCREAMING_SNAKE_CASE_							:   TreeNode | None       =						None
     SCREAMING_SNAKE_CASE_							:   TreeNode | None       =						None







UpperCamelCase_						:      Any       =						namedtuple('''CoinsDistribResult''', '''moves excess''')





def      __a     (       _UpperCamelCase:   TreeNode | None   )						->			int:

     """simple docstring"""




     if root is None:
          return 0

     # Validation
     def count_nodes(_UpperCamelCase:   TreeNode | None   ) -> int:
          if node is None:
               return 0

          return count_nodes(node.left   ) + count_nodes(node.right   ) + 1

     def count_coins(_UpperCamelCase:   TreeNode | None   ) -> int:
          if node is None:
               return 0

          return count_coins(node.left   ) + count_coins(node.right   ) + node.data

     if count_nodes(_UpperCamelCase   ) != count_coins(_UpperCamelCase   ):
          raise ValueError("The nodes number should be same as the number of coins"   )

     # Main calculation
     def get_distrib(_UpperCamelCase:   TreeNode | None   ) -> CoinsDistribResult:

          if node is None:
               return CoinsDistribResult(0 ,						1   )

          _snake_case							, _snake_case							=				get_distrib(node.left   )
          _snake_case							, _snake_case							=				get_distrib(node.right   )

          _snake_case							=				1 - left_distrib_excess
          _snake_case							=				1 - right_distrib_excess

          _snake_case							=				(
              left_distrib_moves
              + right_distrib_moves
              + abs(_UpperCamelCase   )
              + abs(_UpperCamelCase   )
          )
          _snake_case							=				node.data - coins_to_left - coins_to_right

          return CoinsDistribResult(_UpperCamelCase ,						_UpperCamelCase   )

     return get_distrib(_UpperCamelCase   )[0]


if __name__ == "__main__":
   import doctest

   doctest.testmod()


