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AlphaFold3 protein_dataset模块 ProteinDataset 类  _patch 方法的主要目的是围绕锚点残基（anchor residues）裁剪蛋白质数据，提取一个局部补丁（patch）作为模型输入。

源代码：

    def _patch(self, data):"""Cut the data around the anchor residues."""# adapted from diffabpos_alpha = data["X"][:, 2]if self.mask_whole_chains:mask_ = (data["mask"] * data["masked_res"]).bool()anchor_points = pos_alpha[mask_].mean(0).unsqueeze(0)anchor_ind = []else:anchor_ind = self.get_anchor_ind(data["masked_res"], data["mask"])anchor_points = torch.stack([pos_alpha[ind] for ind in anchor_ind], dim=0)dist_anchor = torch.cdist(pos_alpha, anchor_points, p=2).min(dim=1)[0]  # (L, )dist_anchor[~data["mask"].bool()] = float("+inf")initial_patch_idx = torch.topk(dist_anchor,k=min(self.initial_patch_size, dist_anchor.size(0)),largest=False,sorted=True,)[1]  # (initial_patch_size, )patch_mask = data["masked_res"].bool().clone()patch_mask[[int(x) for x in anchor_ind]] = Truepatch_mask[initial_patch_idx] = Trueif self.sabdab:antibody_mask = self._get_antibody_mask(data)antigen_mask = ~antibody_maskdist_anchor_antigen = dist_anchor.masked_fill(