




'''simple docstring'''





from collections.abc import Sequence
from queue import Queue
class     a__					:






						def __init__(     self	,    _A	,    _A	,    _A	,    _A=None	,    _A=None    ):




											"""simple docstring"""



											__lowerCAmelCase            = start
											__lowerCAmelCase            = end
											__lowerCAmelCase            = val
											__lowerCAmelCase            = (start + end) // 2
											__lowerCAmelCase            = left
											__lowerCAmelCase            = right






						def __repr__(     self    ):




											"""simple docstring"""



											return f"""SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"""






class     a__					:






						def __init__(     self	,    _A	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = collection
											__lowerCAmelCase            = function
											if self.collection:
																__lowerCAmelCase            = self._build_tree(0	,    len(_A    ) - 1    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A    ):




											"""simple docstring"""



											self._update_tree(self.root	,    _A	,    _A    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A    ):




											"""simple docstring"""



											return self._query_range(self.root	,    _A	,    _A    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A    ):




											"""simple docstring"""



											if start == end:
																return SegmentTreeNode(_A	,    _A	,    self.collection[start]    )
											__lowerCAmelCase            = (start + end) // 2
											__lowerCAmelCase            = self._build_tree(_A	,    _A    )
											__lowerCAmelCase            = self._build_tree(mid + 1	,    _A    )
											return SegmentTreeNode(_A	,    _A	,    self.fn(left.val	,    right.val    )	,    _A	,    _A    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A	,    _A    ):




											"""simple docstring"""



											if node.start == i and node.end == i:
																__lowerCAmelCase            = val
																return
											if i <= node.mid:
																self._update_tree(node.left	,    _A	,    _A    )
											else:
																self._update_tree(node.right	,    _A	,    _A    )
											__lowerCAmelCase            = self.fn(node.left.val	,    node.right.val    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A	,    _A    ):




											"""simple docstring"""



											if node.start == i and node.end == j:
																return node.val

											if i <= node.mid:
																if j <= node.mid:
																					# range in left child tree
																					return self._query_range(node.left	,    _A	,    _A    )
																else:
																					# range in left child tree and right child tree
																					return self.fn(
																					    self._query_range(node.left	,    _A	,    node.mid    )	,    self._query_range(node.right	,    node.mid + 1	,    _A    )	,    )
											else:
																# range in right child tree
																return self._query_range(node.right	,    _A	,    _A    )






						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											if self.root is not None:
																__lowerCAmelCase            = Queue()
																queue.put(self.root    )
																while not queue.empty():
																					__lowerCAmelCase            = queue.get()
																					yield node

																					if node.left is not None:
																										queue.put(node.left    )

																					if node.right is not None:
																										queue.put(node.right    )


if __name__ == "__main__":
					import operator

					for fn in [operator.add, max, min]:
										print("""*""" * 50)
										UpperCamelCase__					    =    SegmentTree([2, 1, 5, 3, 4], fn)
										for node in arr.traverse():
															print(node)
										print()

										arr.update(1, 5)
										for node in arr.traverse():
															print(node)
										print()

										print(arr.query_range(3, 4))  # 7
										print(arr.query_range(2, 2))  # 5
										print(arr.query_range(1, 3))  # 13
										print()










import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
class     a__					(      snake_case__   ):
						_a							:					Optional[Any]      =					"""M-CLIP"""






						def __init__(     self	,    _A=1_0_2_4	,    _A=7_6_8	,    **_A    ):




											"""simple docstring"""



											__lowerCAmelCase            = transformerDimSize
											__lowerCAmelCase            = imageDimSize
											super().__init__(**_A    )






class     a__					(      snake_case__   ):
						_a							:					Tuple      =					MCLIPConfig






						def __init__(     self	,    _A	,    *_A	,    **_A    ):




											"""simple docstring"""



											super().__init__(_A	,    *_A	,    **_A    )
											__lowerCAmelCase            = XLMRobertaModel(_A    )
											__lowerCAmelCase            = torch.nn.Linear(
											    in_features=config.transformerDimensions	,    out_features=config.numDims    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = self.transformer(input_ids=_A	,    attention_mask=_A    )[0]
											__lowerCAmelCase            = (embs * attention_mask.unsqueeze(2    )).sum(dim=1    ) / attention_mask.sum(dim=1    )[:, None]
											return self.LinearTransformation(_A    ), embs




