






"""simple docstring"""

import os
import sys
import unittest


lowercase    			=       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
lowercase    			=       os.path.join(git_repo_path, '''src''', '''transformers''')

lowercase    			=       '''
{0} = None
'''

lowercase    			=       '''
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
'''


lowercase    			=       '''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''

class 						A_							(      unittest.TestCase  ):







				def     _snake_case					(							self							:						List[str]	)				->					Optional[int]:
										__magic_name__            =     find_backend("    _import_structure[\"models.albert\"].append(\"AlbertTokenizerFast\")"	)
										self.assertIsNone(__lowerCamelCase	)

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

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

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

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

										__magic_name__            =     find_backend(
										    "    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):"	)
										self.assertEqual(__lowerCamelCase						,    "sentencepiece_and_tokenizers_and_vision"	)







				def     _snake_case					(							self							:						Optional[int]	)				->					List[Any]:
										__magic_name__            =     read_init()
										# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
										self.assertIn("torch"						,    __lowerCamelCase	)
										self.assertIn("tensorflow_text"						,    __lowerCamelCase	)
										self.assertIn("sentencepiece_and_tokenizers"						,    __lowerCamelCase	)

										# 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     _snake_case					(							self							:						Optional[int]	)				->					Optional[Any]:
										__magic_name__            =     create_dummy_object("CONSTANT"						,    "'torch'"	)
										self.assertEqual(__lowerCamelCase						,    "\nCONSTANT = None\n"	)

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

										__magic_name__            =     "\nclass FakeClass(metaclass=DummyObject):\n    _backends = 'torch'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, 'torch')\n"
										__magic_name__            =     create_dummy_object("FakeClass"						,    "'torch'"	)
										self.assertEqual(__lowerCamelCase						,    __lowerCamelCase	)







				def     _snake_case					(							self							:						Tuple	)				->					List[Any]:
										__magic_name__            =     "# This file is autogenerated by the command `make fix-copies`, do not edit.\nfrom ..utils import DummyObject, requires_backends\n\n\nCONSTANT = None\n\n\ndef function(*args, **kwargs):\n    requires_backends(function, [\"torch\"])\n\n\nclass FakeClass(metaclass=DummyObject):\n    _backends = [\"torch\"]\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, [\"torch\"])\n"
										__magic_name__            =     create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}	)
										self.assertEqual(dummy_files["torch"]						,    __lowerCamelCase	)











"""simple docstring"""

from copy import deepcopy

class 						A_							:







				def __init__(							self							:						List[str]						,    __lowerCamelCase							:						list[int] | None = None						,    __lowerCamelCase							:						int | None = None	)				->					None:

										if arr is None and size is not None:
																__magic_name__            =     size
																__magic_name__            =     [0] * size
										elif arr is not None:
																self.init(__lowerCamelCase	)
										else:
																raise ValueError("Either arr or size must be specified"	)







				def     _snake_case					(							self							:						Optional[int]						,    __lowerCamelCase							:						list[int]	)				->					None:
										__magic_name__            =     len(__lowerCamelCase	)
										__magic_name__            =     deepcopy(__lowerCamelCase	)
										for i in range(1						,    self.size	):
																__magic_name__            =     self.next_(__lowerCamelCase	)
																if j < self.size:
																						self.tree[j] += self.tree[i]







				def     _snake_case					(							self							:						Any	)				->					list[int]:
										__magic_name__            =     self.tree[:]
										for i in range(self.size - 1						,    0						,    -1	):
																__magic_name__            =     self.next_(__lowerCamelCase	)
																if j < self.size:
																						arr[j] -= arr[i]
										return arr







				@staticmethod
				def     _snake_case					(							__lowerCamelCase							:						int	)				->					int:
										return index + (index & (-index))







				@staticmethod
				def     _snake_case					(							__lowerCamelCase							:						int	)				->					int:
										return index - (index & (-index))







				def     _snake_case					(							self							:						Union[str, Any]						,    __lowerCamelCase							:						int						,    __lowerCamelCase							:						int	)				->					None:
										if index == 0:
																self.tree[0] += value
																return
										while index < self.size:
																self.tree[index] += value
																__magic_name__            =     self.next_(__lowerCamelCase	)







				def     _snake_case					(							self							:						Any						,    __lowerCamelCase							:						int						,    __lowerCamelCase							:						int	)				->					None:
										self.add(__lowerCamelCase						,    value - self.get(__lowerCamelCase	)	)







				def     _snake_case					(							self							:						List[Any]						,    __lowerCamelCase							:						int	)				->					int:
										if right == 0:
																return 0
										__magic_name__            =     self.tree[0]
										right -= 1  # make right inclusive
										while right > 0:
																result += self.tree[right]
																__magic_name__            =     self.prev(__lowerCamelCase	)
										return result







				def     _snake_case					(							self							:						Any						,    __lowerCamelCase							:						int						,    __lowerCamelCase							:						int	)				->					int:
										return self.prefix(__lowerCamelCase	) - self.prefix(__lowerCamelCase	)







				def     _snake_case					(							self							:						Tuple						,    __lowerCamelCase							:						int	)				->					int:
										return self.query(__lowerCamelCase						,    index + 1	)







				def     _snake_case					(							self							:						Tuple						,    __lowerCamelCase							:						int	)				->					int:
										value -= self.tree[0]
										if value < 0:
																return -1

										__magic_name__            =     1  # Largest power of 2 <= size
										while j * 2 < self.size:
																j *= 2

										__magic_name__            =     0

										while j > 0:
																if i + j < self.size and self.tree[i + j] <= value:
																						value -= self.tree[i + j]
																						i += j
																j //= 2
										return i


if __name__ == "__main__":
			import doctest

			doctest.testmod()



