





'''simple docstring'''






import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin




class 					UpperCAmelCase	(     snake_case_				,						unittest.TestCase  ):
      _lowercase:     Tuple			=  CanineTokenizer
      _lowercase:     Tuple			=  False




      def 							lowercase__       (     self     :					Dict    )							-> Dict:
            super().setUp()
            _lowerCAmelCase					=				CanineTokenizer()
            tokenizer.save_pretrained(self.tmpdirname    )




      @cached_property
      def 							lowercase__       (     self     :					Tuple    )							-> Any:
            return CanineTokenizer.from_pretrained("""google/canine-s"""    )




      def 							lowercase__       (     self     :					Optional[int]     ,     **__snake_case     :					Dict    )							-> CanineTokenizer:
            _lowerCAmelCase					=				self.tokenizer_class.from_pretrained(self.tmpdirname     ,     **__snake_case    )
            _lowerCAmelCase					=				10_24
            return tokenizer




      @require_torch
      def 							lowercase__       (     self     :					List[str]    )							-> List[str]:
            _lowerCAmelCase					=				self.canine_tokenizer
            _lowerCAmelCase					=				["""Life is like a box of chocolates.""", """You never know what you're gonna get."""]
            # fmt: off
            _lowerCAmelCase					=				[5_73_44, 76, 1_05, 1_02, 1_01, 32, 1_05, 1_15, 32, 1_08, 1_05, 1_07, 1_01, 32, 97, 32, 98, 1_11, 1_20, 32, 1_11, 1_02, 32, 99, 1_04, 1_11, 99, 1_11, 1_08, 97, 1_16, 1_01, 1_15, 46, 5_73_45, 0, 0, 0, 0]
            # fmt: on
            _lowerCAmelCase					=				tokenizer(__snake_case     ,     padding=__snake_case     ,     return_tensors="""pt"""    )
            self.assertIsInstance(__snake_case     ,     __snake_case    )

            _lowerCAmelCase					=				list(batch.input_ids.numpy()[0]    )

            self.assertListEqual(__snake_case     ,     __snake_case    )

            self.assertEqual((2, 39)     ,     batch.input_ids.shape    )
            self.assertEqual((2, 39)     ,     batch.attention_mask.shape    )




      @require_torch
      def 							lowercase__       (     self     :					Union[str, Any]    )							-> List[Any]:
            _lowerCAmelCase					=				self.canine_tokenizer
            _lowerCAmelCase					=				["""Once there was a man.""", """He wrote a test in HuggingFace Tranformers."""]
            _lowerCAmelCase					=				tokenizer(__snake_case     ,     padding=__snake_case     ,     return_tensors="""pt"""    )
            # check if input_ids, attention_mask and token_type_ids are returned
            self.assertIn("""input_ids"""     ,     __snake_case    )
            self.assertIn("""attention_mask"""     ,     __snake_case    )
            self.assertIn("""token_type_ids"""     ,     __snake_case    )




      @require_torch
      def 							lowercase__       (     self     :					Tuple    )							-> Dict:
            _lowerCAmelCase					=				self.canine_tokenizer
            _lowerCAmelCase					=				[
                """What's the weater?""",
                """It's about 25 degrees.""",
            ]
            _lowerCAmelCase					=				tokenizer(
                text_target=__snake_case     ,     max_length=32     ,     padding="""max_length"""     ,     truncation=__snake_case     ,     return_tensors="""pt"""    )
            self.assertEqual(32     ,     targets["""input_ids"""].shape[1]    )




      def 							lowercase__       (     self     :					Dict    )							-> int:
            # safety check on max_len default value so we are sure the test works
            _lowerCAmelCase					=				self.get_tokenizers()
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"    ):
                        self.assertNotEqual(tokenizer.model_max_length     ,     42    )

        # Now let's start the test
            _lowerCAmelCase					=				self.get_tokenizers()
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"    ):
                        # Isolate this from the other tests because we save additional tokens/etc
                        _lowerCAmelCase					=				tempfile.mkdtemp()

                        _lowerCAmelCase					=				""" He is very happy, UNwant\u00E9d,running"""
                        _lowerCAmelCase					=				tokenizer.encode(__snake_case     ,     add_special_tokens=__snake_case    )
                        tokenizer.save_pretrained(__snake_case    )

                        _lowerCAmelCase					=				tokenizer.__class__.from_pretrained(__snake_case    )
                        _lowerCAmelCase					=				after_tokenizer.encode(__snake_case     ,     add_special_tokens=__snake_case    )
                        self.assertListEqual(__snake_case     ,     __snake_case    )

                        shutil.rmtree(__snake_case    )

            _lowerCAmelCase					=				self.get_tokenizers(model_max_length=42    )
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"    ):
                        # Isolate this from the other tests because we save additional tokens/etc
                        _lowerCAmelCase					=				tempfile.mkdtemp()

                        _lowerCAmelCase					=				""" He is very happy, UNwant\u00E9d,running"""

                        _lowerCAmelCase					=				tokenizer.additional_special_tokens

                        # We can add a new special token for Canine as follows:
                        _lowerCAmelCase					=				chr(0xe0_07    )
                        additional_special_tokens.append(__snake_case    )
                        tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens}    )
                        _lowerCAmelCase					=				tokenizer.encode(__snake_case     ,     add_special_tokens=__snake_case    )
                        tokenizer.save_pretrained(__snake_case    )

                        _lowerCAmelCase					=				tokenizer.__class__.from_pretrained(__snake_case    )
                        _lowerCAmelCase					=				after_tokenizer.encode(__snake_case     ,     add_special_tokens=__snake_case    )
                        self.assertListEqual(__snake_case     ,     __snake_case    )
                        self.assertIn(__snake_case     ,     after_tokenizer.additional_special_tokens    )
                        self.assertEqual(after_tokenizer.model_max_length     ,     42    )

                        _lowerCAmelCase					=				tokenizer.__class__.from_pretrained(__snake_case     ,     model_max_length=43    )
                        self.assertEqual(tokenizer.model_max_length     ,     43    )

                        shutil.rmtree(__snake_case    )




      def 							lowercase__       (     self     :					Optional[Any]    )							-> str:
            _lowerCAmelCase					=				self.get_tokenizers(do_lower_case=__snake_case    )
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"    ):
                        _lowerCAmelCase	,				_lowerCAmelCase					=				self.get_clean_sequence(__snake_case    )

                        # a special token for Canine can be defined as follows:
                        _lowerCAmelCase					=				0xe0_05
                        _lowerCAmelCase					=				chr(__snake_case    )

                        tokenizer.add_special_tokens({"""cls_token""": special_token}    )
                        _lowerCAmelCase					=				tokenizer.encode(__snake_case     ,     add_special_tokens=__snake_case    )
                        self.assertEqual(len(__snake_case    )     ,     1    )

                        _lowerCAmelCase					=				tokenizer.decode(ids + encoded_special_token     ,     clean_up_tokenization_spaces=__snake_case    )
                        _lowerCAmelCase					=				tokenizer.encode(__snake_case     ,     add_special_tokens=__snake_case    )

                        _lowerCAmelCase					=				tokenizer.encode(__snake_case     ,     add_special_tokens=__snake_case    )
                        _lowerCAmelCase					=				tokenizer.encode(__snake_case     ,     add_special_tokens=__snake_case    )
                        self.assertEqual(__snake_case     ,     input_encoded + special_token_id    )

                        _lowerCAmelCase					=				tokenizer.decode(__snake_case     ,     skip_special_tokens=__snake_case    )
                        self.assertTrue(special_token not in decoded    )




      def 							lowercase__       (     self     :					Optional[Any]    )							-> Optional[Any]:
            _lowerCAmelCase					=				self.get_tokenizers(do_lower_case=__snake_case    )
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"    ):
                        _lowerCAmelCase					=				chr(0xe0_05    )
                        _lowerCAmelCase					=				chr(0xe0_06    )

                        # `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
                        tokenizer.add_tokens([SPECIAL_TOKEN_1]     ,     special_tokens=__snake_case    )
                        # `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
                        # which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
                        tokenizer.add_special_tokens({"""additional_special_tokens""": [SPECIAL_TOKEN_2]}    )

                        _lowerCAmelCase					=				tokenizer.tokenize(__snake_case    )
                        _lowerCAmelCase					=				tokenizer.tokenize(__snake_case    )

                        self.assertEqual(len(__snake_case    )     ,     1    )
                        self.assertEqual(len(__snake_case    )     ,     1    )
                        self.assertEqual(token_a[0]     ,     __snake_case    )
                        self.assertEqual(token_a[0]     ,     __snake_case    )




      @require_tokenizers
      def 							lowercase__       (     self     :					Optional[Any]    )							-> Union[str, Any]:
            _lowerCAmelCase					=				self.get_tokenizers(do_lower_case=__snake_case    )
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"    ):
                        # a special token for Canine can be defined as follows:
                        _lowerCAmelCase					=				0xe0_06
                        _lowerCAmelCase					=				chr(__snake_case    )

                        _lowerCAmelCase					=				AddedToken(__snake_case     ,     lstrip=__snake_case    )
                        tokenizer.add_special_tokens({"""additional_special_tokens""": [new_token]}    )

                        with tempfile.TemporaryDirectory() as tmp_dir_name:
                              tokenizer.save_pretrained(__snake_case    )
                              tokenizer.from_pretrained(__snake_case    )




      def 							lowercase__       (     self     :					Dict    )							-> Dict:
            _lowerCAmelCase					=				[]
            if self.test_slow_tokenizer:
                  tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())    )

            if self.test_rust_tokenizer:
                  tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())    )

            for tokenizer_class, tokenizer_utils in tokenizer_list:
                  with tempfile.TemporaryDirectory() as tmp_dir:
                        tokenizer_utils.save_pretrained(__snake_case    )

                        with open(os.path.join(__snake_case     ,     """special_tokens_map.json"""    )     ,     encoding="""utf-8"""    ) as json_file:
                              _lowerCAmelCase					=				json.load(__snake_case    )

                        with open(os.path.join(__snake_case     ,     """tokenizer_config.json"""    )     ,     encoding="""utf-8"""    ) as json_file:
                              _lowerCAmelCase					=				json.load(__snake_case    )

                        # a special token for Canine can be defined as follows:
                        _lowerCAmelCase					=				0xe0_06
                        _lowerCAmelCase					=				chr(__snake_case    )

                        _lowerCAmelCase					=				[new_token_a]
                        _lowerCAmelCase					=				[new_token_a]

                        with open(os.path.join(__snake_case     ,     """special_tokens_map.json"""    )     ,     """w"""     ,     encoding="""utf-8"""    ) as outfile:
                              json.dump(__snake_case     ,     __snake_case    )
                        with open(os.path.join(__snake_case     ,     """tokenizer_config.json"""    )     ,     """w"""     ,     encoding="""utf-8"""    ) as outfile:
                              json.dump(__snake_case     ,     __snake_case    )

                        # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
                        # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
                        # "special_tokens_map.json" files
                        _lowerCAmelCase					=				tokenizer_class.from_pretrained(__snake_case     ,     extra_ids=0    )
                        self.assertIn(__snake_case     ,     tokenizer_without_change_in_init.additional_special_tokens    )
                        # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
                        self.assertEqual(
                            [new_token_a]     ,     tokenizer_without_change_in_init.convert_ids_to_tokens(
                                tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]    )    )     ,     )

                        _lowerCAmelCase					=				0xe0_07
                        _lowerCAmelCase					=				chr(__snake_case    )
                        # Now we test that we can change the value of additional_special_tokens in the from_pretrained
                        _lowerCAmelCase					=				[AddedToken(__snake_case     ,     lstrip=__snake_case    )]
                        _lowerCAmelCase					=				tokenizer_class.from_pretrained(
                            __snake_case     ,     additional_special_tokens=__snake_case     ,     extra_ids=0    )

                        self.assertIn(__snake_case     ,     tokenizer.additional_special_tokens    )
                        # self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
                        self.assertEqual(
                            [new_token_a]     ,     tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]    )    )    )




      @require_tokenizers
      def 							lowercase__       (     self     :					Any    )							-> str:
            _lowerCAmelCase					=				self.get_tokenizers(do_lower_case=__snake_case    )
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"    ):
                        _lowerCAmelCase					=				"""hello world"""
                        if self.space_between_special_tokens:
                              _lowerCAmelCase					=				"""[CLS] hello world [SEP]"""
                        else:
                              _lowerCAmelCase					=				input
                        _lowerCAmelCase					=				tokenizer.encode(__snake_case     ,     add_special_tokens=__snake_case    )
                        _lowerCAmelCase					=				tokenizer.decode(__snake_case     ,     spaces_between_special_tokens=self.space_between_special_tokens    )
                        self.assertIn(__snake_case     ,     [output, output.lower()]    )




      def 							lowercase__       (     self     :					str    )							-> List[Any]:
            _lowerCAmelCase					=				self.get_tokenizers()
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"    ):
                        _lowerCAmelCase					=				[
                            """bos_token""",
                            """eos_token""",
                            """unk_token""",
                            """sep_token""",
                            """pad_token""",
                            """cls_token""",
                            """mask_token""",
                        ]

            _lowerCAmelCase					=				"""a"""
            _lowerCAmelCase					=				ord(__snake_case    )

            for attr in attributes_list:
                  setattr(__snake_case     ,     attr + """_id"""     ,     __snake_case    )
                  self.assertEqual(getattr(__snake_case     ,     __snake_case    )     ,     __snake_case    )
                  self.assertEqual(getattr(__snake_case     ,     attr + """_id"""    )     ,     __snake_case    )

                  setattr(__snake_case     ,     attr + """_id"""     ,     __snake_case    )
                  self.assertEqual(getattr(__snake_case     ,     __snake_case    )     ,     __snake_case    )
                  self.assertEqual(getattr(__snake_case     ,     attr + """_id"""    )     ,     __snake_case    )

            setattr(__snake_case     ,     """additional_special_tokens_ids"""     ,     []    )
            self.assertListEqual(getattr(__snake_case     ,     """additional_special_tokens"""    )     ,     []    )
            self.assertListEqual(getattr(__snake_case     ,     """additional_special_tokens_ids"""    )     ,     []    )

            _lowerCAmelCase					=				0xe0_06
            _lowerCAmelCase					=				chr(__snake_case    )
            setattr(__snake_case     ,     """additional_special_tokens_ids"""     ,     [additional_special_token_id]    )
            self.assertListEqual(getattr(__snake_case     ,     """additional_special_tokens"""    )     ,     [additional_special_token]    )
            self.assertListEqual(getattr(__snake_case     ,     """additional_special_tokens_ids"""    )     ,     [additional_special_token_id]    )




      def 							lowercase__       (     self     :					str    )							-> List[str]:
            pass




      def 							lowercase__       (     self     :					Any    )							-> Any:
            pass




      def 							lowercase__       (     self     :					List[str]    )							-> Any:
            pass




      def 							lowercase__       (     self     :					int    )							-> List[Any]:
            pass




      def 							lowercase__       (     self     :					Any    )							-> List[str]:
            pass




      def 							lowercase__       (     self     :					Dict    )							-> str:
            pass




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




      def 							lowercase__       (     self     :					Optional[int]    )							-> Optional[int]:
            pass













'''simple docstring'''






class 					UpperCAmelCase	:




      def __init__(     self     :					List[str]     ,     __snake_case     :					str    )							-> Union[str, Any]:
            _lowerCAmelCase					=				val
            _lowerCAmelCase					=				None
            _lowerCAmelCase					=				None




      def 							lowercase__       (     self     :					Optional[Any]     ,     __snake_case     :					int    )							-> Optional[int]:
            if self.val:
                  if val < self.val:
                        if self.left is None:
                              _lowerCAmelCase					=				Node(__snake_case    )
                        else:
                              self.left.insert(__snake_case    )
                  elif val > self.val:
                        if self.right is None:
                              _lowerCAmelCase					=				Node(__snake_case    )
                        else:
                              self.right.insert(__snake_case    )
            else:
                  _lowerCAmelCase					=				val




def   UpperCamelCase__ (						lowerCAmelCase				,      lowerCAmelCase    ):





      """simple docstring"""


      if root:
            inorder(root.left				,      lowerCAmelCase    )
            res.append(root.val    )
            inorder(root.right				,      lowerCAmelCase    )
def   UpperCamelCase__ (						lowerCAmelCase    ):





      """simple docstring"""


      if len(lowerCAmelCase    ) == 0:
            return arr
      _lowerCAmelCase					=				Node(arr[0]    )
      for i in range(1				,      len(lowerCAmelCase    )    ):
            root.insert(arr[i]    )
      # Traverse BST in order.
      _lowerCAmelCase					=				[]
      inorder(lowerCAmelCase				,      lowerCAmelCase    )
      return res


if __name__ == "__main__":
      print(tree_sort([10, 1, 3, 2, 9, 14, 13]))






