"""simple docstring"""





import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
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


A :    Optional[Any]										=      get_tests_dir('fixtures/test_sentencepiece.model')




@require_sentencepiece
@require_tokenizers
class     lowerCAmelCase	(	UpperCAmelCase__	,							unittest.TestCase    ):

     '''simple docstring'''







     A 							=			ReformerTokenizer
     A 							=			ReformerTokenizerFast
     A 							=			True
     A 							=			False
     A 							=			True







     def     lowerCamelCase__     (			self  :List[str]     )			->      List[str]:




           """simple docstring"""



           super().setUp()

           UpperCamelCase__										=			ReformerTokenizer(__lowercase				,      keep_accents=__lowercase     )
           tokenizer.save_pretrained(self.tmpdirname     )







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




           """simple docstring"""



           UpperCamelCase__										=			"<s>"
           UpperCamelCase__										=			1

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







     def     lowerCamelCase__     (			self  :Dict     )			->      Optional[Any]:




           """simple docstring"""



           UpperCamelCase__										=			list(self.get_tokenizer().get_vocab().keys()     )

           self.assertEqual(vocab_keys[0]				,      "<unk>"     )
           self.assertEqual(vocab_keys[1]				,      "<s>"     )
           self.assertEqual(vocab_keys[-1]				,      "j"     )
           self.assertEqual(len(__lowercase     )				,      1_0_0_0     )







     def     lowerCamelCase__     (			self  :Optional[Any]     )			->      Optional[Any]:




           """simple docstring"""



           self.assertEqual(self.get_tokenizer().vocab_size				,      1_0_0_0     )







     def     lowerCamelCase__     (			self  :int     )			->      List[str]:




           """simple docstring"""



           if not self.test_rust_tokenizer:
                 return

           UpperCamelCase__										=			self.get_tokenizer()
           UpperCamelCase__										=			self.get_rust_tokenizer()

           UpperCamelCase__										=			"I was born in 92000, and this is falsé."

           UpperCamelCase__										=			tokenizer.tokenize(__lowercase     )
           UpperCamelCase__										=			rust_tokenizer.tokenize(__lowercase     )
           self.assertListEqual(__lowercase				,      __lowercase     )

           UpperCamelCase__										=			tokenizer.encode(__lowercase				,      add_special_tokens=__lowercase     )
           UpperCamelCase__										=			rust_tokenizer.encode(__lowercase				,      add_special_tokens=__lowercase     )
           self.assertListEqual(__lowercase				,      __lowercase     )

           UpperCamelCase__										=			self.get_rust_tokenizer()
           UpperCamelCase__										=			tokenizer.encode(__lowercase     )
           UpperCamelCase__										=			rust_tokenizer.encode(__lowercase     )
           self.assertListEqual(__lowercase				,      __lowercase     )







     def     lowerCamelCase__     (			self  :int				,      lowerCamelCase_  :Optional[Any]=1_5     )			->      int:




           """simple docstring"""



           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(__lowercase				,      **__lowercase     )

                       # Simple input
                       UpperCamelCase__										=			"This is a simple input"
                       UpperCamelCase__										=			["This is a simple input 1", "This is a simple input 2"]
                       UpperCamelCase__										=			("This is a simple input", "This is a pair")
                       UpperCamelCase__										=			[
                           ("This is a simple input 1", "This is a simple input 2"),
                           ("This is a simple pair 1", "This is a simple pair 2"),
                       ]

                       # Simple input tests
                       self.assertRaises(__lowercase				,      tokenizer_r.encode				,      __lowercase				,      max_length=__lowercase				,      padding="max_length"     )

                       # Simple input
                       self.assertRaises(__lowercase				,      tokenizer_r.encode_plus				,      __lowercase				,      max_length=__lowercase				,      padding="max_length"     )

                       # Simple input
                       self.assertRaises(
                           __lowercase				,      tokenizer_r.batch_encode_plus				,      __lowercase				,      max_length=__lowercase				,      padding="max_length"				,      )

                       # Pair input
                       self.assertRaises(__lowercase				,      tokenizer_r.encode				,      __lowercase				,      max_length=__lowercase				,      padding="max_length"     )

                       # Pair input
                       self.assertRaises(__lowercase				,      tokenizer_r.encode_plus				,      __lowercase				,      max_length=__lowercase				,      padding="max_length"     )

                       # Pair input
                       self.assertRaises(
                           __lowercase				,      tokenizer_r.batch_encode_plus				,      __lowercase				,      max_length=__lowercase				,      padding="max_length"				,      )







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




           """simple docstring"""



           pass







     def     lowerCamelCase__     (			self  :Dict     )			->      List[str]:




           """simple docstring"""



           UpperCamelCase__										=			ReformerTokenizer(__lowercase				,      keep_accents=__lowercase     )

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

           self.assertListEqual(
               tokenizer.convert_tokens_to_ids(__lowercase     )				,      [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]				,      )

           UpperCamelCase__										=			tokenizer.tokenize("I was born in 92000, and this is falsé."     )
           self.assertListEqual(
               __lowercase				,      [
                   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(__lowercase     )
           self.assertListEqual(
               __lowercase				,      [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4]				,      )

           UpperCamelCase__										=			tokenizer.convert_ids_to_tokens(__lowercase     )
           self.assertListEqual(
               __lowercase				,      [
                   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     lowerCamelCase__     (			self  :str     )			->      List[str]:




           """simple docstring"""



           return ReformerTokenizer.from_pretrained("google/reformer-crime-and-punishment"     )







     @slow
     def     lowerCamelCase__     (			self  :Dict     )			->      Dict:




           """simple docstring"""



           UpperCamelCase__										=			"Hello World!"
           UpperCamelCase__										=			[1_2_6, 3_2, 2_6_2, 1_5_2, 3_8, 7_2, 2_8_7]

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







     @slow
     def     lowerCamelCase__     (			self  :Optional[Any]     )			->      Union[str, Any]:




           """simple docstring"""



           UpperCamelCase__										=			(
               "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"
           )
           UpperCamelCase__										=			[
               1_0_8,
               2_6_5,
               2_4,
               1_1_1,
               4,
               2_5_8,
               1_5_6,
               3_5,
               2_8,
               2_7_5,
               3,
               2_5_9,
               2_9_7,
               2_6_0,
               8_4,
               4,
               3_5,
               1_1_0,
               4_4,
               8,
               2_5_9,
               9_1,
               2_6_8,
               2_1,
               1_1,
               2_0_9,
               2_7_4,
               1_0_9,
               2_6_6,
               2_7_7,
               1_1_7,
               8_6,
               9_3,
               3_1_5,
               2_5_8,
               2_7_8,
               2_5_8,
               2_7_7,
               2_5_8,
               0,
               2_5_8,
               2_8_8,
               2_5_8,
               3_1_9,
               2_5_8,
               0,
               2_5_8,
               0,
               2_5_8,
               0,
               2_5_8,
               0,
               2_5_8,
               2_8_7,
               2_5_8,
               3_1_5,
               2_5_8,
               2_8_9,
               2_5_8,
               2_7_8,
               9_9,
               2_6_9,
               2_6_6,
               2_6_2,
               8,
               2_5_9,
               2_4_1,
               4,
               2_1_7,
               2_3_0,
               2_6_8,
               2_6_6,
               5_5,
               1_6_8,
               1_0_6,
               7_5,
               1_9_3,
               2_6_6,
               2_2_3,
               2_7,
               4_9,
               2_6,
               2_8_2,
               2_5,
               2_6_4,
               2_9_9,
               1_9,
               2_6,
               0,
               2_5_8,
               2_7_7,
               1_1_7,
               8_6,
               9_3,
               1_7_6,
               1_8_3,
               2_7_0,
               1_1,
               2_6_2,
               4_2,
               6_1,
               2_6_5,
           ]

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







     @require_torch
     @slow
     def     lowerCamelCase__     (			self  :Any     )			->      Tuple:




           """simple docstring"""



           import torch

           from transformers import ReformerConfig, ReformerModel

           # Build sequence
           UpperCamelCase__										=			list(self.big_tokenizer.get_vocab().keys()     )[:1_0]
           UpperCamelCase__										=			" ".join(__lowercase     )
           UpperCamelCase__										=			self.big_tokenizer.encode_plus(__lowercase				,      return_tensors="pt"     )
           UpperCamelCase__										=			self.big_tokenizer.batch_encode_plus([sequence, sequence]				,      return_tensors="pt"     )

           UpperCamelCase__										=			ReformerConfig()
           # The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
           UpperCamelCase__										=			encoded_sequence["input_ids"].shape
           UpperCamelCase__										=			ReformerModel(__lowercase     )

           # Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
           assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

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







     @slow
     def     lowerCamelCase__     (			self  :List[Any]     )			->      Optional[int]:




           """simple docstring"""



           UpperCamelCase__										=			{"input_ids": [[1_0_8, 2_6_5, 2_4, 1_1_1, 4, 2_5_8, 1_5_6, 7, 5_1, 2_7_9, 5_8, 7, 7_6, 2_5, 6_9, 2_7_8], [1_4_0, 2_4_3, 2_6_4, 1_3_4, 1_7, 2_6_7, 7_7, 2_6_3, 2_2, 2_6_2, 2_9_7, 2_5_8, 3_0_4, 1_7_7, 2_7_9, 2_6_6, 1_4, 8_9, 1_3, 3_5, 2_6_1, 2_9_9, 2_7_2, 1_3_7, 2_7_5, 2_7_8]], "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]]}  # noqa: E501
           # fmt: on

           # This tokenizer does not know some characters like ")".
           # That is the reason why we use very simple texts here.
           # Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
           UpperCamelCase__										=			[
               "This is a very simple sentence.",
               "The quick brown fox jumps over the lazy dog.",
           ]

           self.tokenizer_integration_test_util(
               expected_encoding=__lowercase				,      model_name="google/reformer-crime-and-punishment"				,      revision="0e6c3decb8211d49bf881013425dc8b0448b3f5a"				,      padding=__lowercase				,      sequences=__lowercase				,      )





from __future__ import annotations

from dataclasses import dataclass
@dataclass
class 						UpperCAmelCase  :







						'''simple docstring'''





						lowerCAmelCase_							=  42
						lowerCAmelCase_							=  None
						lowerCAmelCase_							=  None







def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	def is_valid_tree(_A				) -> bool:
		if node is None:
			return True

		if not isinstance(_A	,      _A				):
			return False

		try:
			float(node.data				)
		except (TypeError, ValueError):
			return False

		return is_valid_tree(node.left				) and is_valid_tree(node.right				)

	if not is_valid_tree(_A				):
		raise ValueError(
		    "Each node should be type of TreeNode and data should be float."				)

	def is_binary_search_tree_recursive_check(
	    _A	,      _A	,      _A				) -> bool:

		if node is None:
			return True

		return (
		    left_bound < node.data < right_bound
		    and is_binary_search_tree_recursive_check(node.left	,      _A	,      node.data				)
		    and is_binary_search_tree_recursive_check(
		        node.right	,      node.data	,      _A				)
		)

	return is_binary_search_tree_recursive_check(_A	,      -float("inf"				)	,      float("inf"				)				)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
