66e36bf51b453bb6b92d330d4d7845bdfbdfee99,neurosynth/base/dataset.py,Dataset,get_studies,#Dataset#Any#Any#Any#Any#Any#Any#Any#Any#Any#,241

Before Change

        if peaks is not None:
            found = set()
            for p in peaks:
                _xt, _yt, _zt = p
                x = self.activations["x"]
                y = self.activations["y"]
                z = self.activations["z"]

After Change

                x = self.activations["x"]
                y = self.activations["y"]
                z = self.activations["z"]
                dists = np.sqrt(np.square(x - xyz[0]) + np.square(y - xyz[1]) +
                                np.square(z - xyz[2]))
                inds = np.where((dists > 5.5) & (dists < 6.5))[0]
                tmp = dists[inds]
                found |= set(self.activations[dists <= r]["id"].unique())
            results.append(found)

        // Get intersection of all sets

Instances