




import os
import sys
import unittest


UpperCAmelCase_									=	os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
UpperCAmelCase_									=	os.path.join(git_repo_path, 'src', 'transformers')

UpperCAmelCase_									=	'\n{0} = None\n'

UpperCAmelCase_									=	'\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n'


UpperCAmelCase_									=	'\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'





class     lowerCamelCase__(					unittest.TestCase):
      def 			lowerCAmelCase__						(				self: Any   ):
             __lowerCamelCase   =						find_backend("""    _import_structure[\"models.albert\"].append(\"AlbertTokenizerFast\")"""   )
             self.assertIsNone(UpperCamelCase_   )

             __lowerCamelCase   =						find_backend("""    if not is_tokenizers_available():"""   )
             self.assertEqual(UpperCamelCase_    ,       """tokenizers"""   )

             __lowerCamelCase   =						find_backend("""    if not is_tensorflow_text_available():"""   )
             self.assertEqual(UpperCamelCase_    ,       """tensorflow_text"""   )

             __lowerCamelCase   =						find_backend("""    if not (is_sentencepiece_available() and is_tokenizers_available()):"""   )
             self.assertEqual(UpperCamelCase_    ,       """sentencepiece_and_tokenizers"""   )

             __lowerCamelCase   =						find_backend(
                 """    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"""   )
             self.assertEqual(UpperCamelCase_    ,       """sentencepiece_and_tensorflow_text"""   )

             __lowerCamelCase   =						find_backend(
                 """    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):"""   )
             self.assertEqual(UpperCamelCase_    ,       """sentencepiece_and_tokenizers_and_vision"""   )
      def 			lowerCAmelCase__						(				self: Union[str, Any]   ):
             __lowerCamelCase   =						read_init()
             # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
             self.assertIn("""torch"""    ,       UpperCamelCase_   )
             self.assertIn("""tensorflow_text"""    ,       UpperCamelCase_   )
             self.assertIn("""sentencepiece_and_tokenizers"""    ,       UpperCamelCase_   )

             # Likewise, we can't assert on the exact content of a key
             self.assertIn("""BertModel"""    ,       objects["""torch"""]   )
             self.assertIn("""TFBertModel"""    ,       objects["""tf"""]   )
             self.assertIn("""FlaxBertModel"""    ,       objects["""flax"""]   )
             self.assertIn("""BertModel"""    ,       objects["""torch"""]   )
             self.assertIn("""TFBertTokenizer"""    ,       objects["""tensorflow_text"""]   )
             self.assertIn("""convert_slow_tokenizer"""    ,       objects["""sentencepiece_and_tokenizers"""]   )
      def 			lowerCAmelCase__						(				self: List[Any]   ):
             __lowerCamelCase   =						create_dummy_object("""CONSTANT"""    ,       """'torch'"""   )
             self.assertEqual(UpperCamelCase_    ,       """\nCONSTANT = None\n"""   )

             __lowerCamelCase   =						create_dummy_object("""function"""    ,       """'torch'"""   )
             self.assertEqual(
                 UpperCamelCase_    ,       """\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n"""   )

             __lowerCamelCase   =						"""
class FakeClass(metaclass=DummyObject):
    _backends = 'torch'

    def __init__(self, *args, **kwargs):
        requires_backends(self, 'torch')
"""
             __lowerCamelCase   =						create_dummy_object("""FakeClass"""    ,       """'torch'"""   )
             self.assertEqual(UpperCamelCase_    ,       UpperCamelCase_   )




      def 			lowerCAmelCase__						(				self: List[str]   ):
             __lowerCamelCase   =						"""# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends


CONSTANT = None


def function(*args, **kwargs):
    requires_backends(function, [\"torch\"])


class FakeClass(metaclass=DummyObject):
    _backends = [\"torch\"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, [\"torch\"])
"""
             __lowerCamelCase   =						create_dummy_files({"""torch""": ["""CONSTANT""", """function""", """FakeClass"""]}   )
             self.assertEqual(dummy_files["""torch"""]    ,       UpperCamelCase_   )







from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass





@dataclass
class     lowerCamelCase__:
      UpperCAmelCase__      :	int
      UpperCAmelCase__      :	TreeNode | None    		=   None
      UpperCAmelCase__      :	TreeNode | None    		=   None



UpperCAmelCase_									=	namedtuple('CoinsDistribResult', 'moves excess')




def 					lowerCamelCase__       (						A__       :					TreeNode | None	):





       '''simple docstring'''



       if root is None:
              return 0

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

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

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

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

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

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

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

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

              __lowerCamelCase   =						1 - left_distrib_excess
              __lowerCamelCase   =						1 - right_distrib_excess

              __lowerCamelCase   =						(
                  left_distrib_moves
                  + right_distrib_moves
                  + abs(A__	)
                  + abs(A__	)
              )
              __lowerCamelCase   =						node.data - coins_to_left - coins_to_right

              return CoinsDistribResult(A__  ,			A__	)

       return get_distrib(A__	)[0]


if __name__ == "__main__":
       import doctest

       doctest.testmod()

