np.float -> float

Author: sokrypton

beta/colabfold.py

@@ -423,7 +423,7 @@ def plot_msas(msas, ori_seq=None, sort_by_seqid=True, deduplicate=True, dpi=100,
       qid_ = msa_ == np.array(list("".join(seqs)))
       gapid = np.stack([gap_[:,Ln[i]:Ln[i+1]].max(-1) for i in range(len(seqs))],-1)
       seqid = np.stack([qid_[:,Ln[i]:Ln[i+1]].mean(-1) for i in range(len(seqs))],-1).sum(-1) / (gapid.sum(-1) + 1e-8)
-      non_gaps = gap_.astype(np.float)
+      non_gaps = gap_.astype(float)
       non_gaps[non_gaps == 0] = np.nan
       if sort_by_seqid:
         lines.append(non_gaps[seqid.argsort()]*seqid[seqid.argsort(),None])
@@ -616,7 +616,7 @@ def rescale(a,amin=None,amax=None):
 
   if chainbreak is not None:
     dist = np.linalg.norm(xyz[:-1] - xyz[1:], axis=-1)
-    colors[...,3] = (dist < chainbreak).astype(np.float)
+    colors[...,3] = (dist < chainbreak).astype(float)
 
   # add shade/tint based on z-dimension
   z = rescale(seg_z,zmin,zmax)[:,None]

colabfold/colabfold.py

@@ -501,7 +501,7 @@ def plot_msas(msa, ori_seq=None, sort_by_seqid=True, deduplicate=True, dpi=100,
     qid_ = msa_ == np.array(list("".join(seqs)))
     gapid = np.stack([gap_[:,Ln[i]:Ln[i+1]].max(-1) for i in range(len(seqs))],-1)
     seqid = np.stack([qid_[:,Ln[i]:Ln[i+1]].mean(-1) for i in range(len(seqs))],-1).sum(-1) / (gapid.sum(-1) + 1e-8)
-    non_gaps = gap_.astype(np.float)
+    non_gaps = gap_.astype(float)
     non_gaps[non_gaps == 0] = np.nan
     if sort_by_seqid:
       lines.append(non_gaps[seqid.argsort()]*seqid[seqid.argsort(),None])
@@ -697,7 +697,7 @@ def rescale(a,amin=None,amax=None):
 
   if chainbreak is not None:
     dist = np.linalg.norm(xyz[:-1] - xyz[1:], axis=-1)
-    colors[...,3] = (dist < chainbreak).astype(np.float)
+    colors[...,3] = (dist < chainbreak).astype(float)
 
   # add shade/tint based on z-dimension
   z = rescale(seg_z,zmin,zmax)[:,None]