replace np.float with np.float64

geometry.py

@@ -63,8 +63,8 @@ class geometry:
 
     numPoints=len(next(iter(meas.values())))
     numZoom=len(meas)
-    M=np.ndarray((numPoints, numZoom, 2), np.float)
-    K=np.array(tuple(meas.keys()), np.float)
+    M=np.ndarray((numPoints, numZoom, 2), np.float64)
+    K=np.array(tuple(meas.keys()), np.float64)
     for i, (k, v) in enumerate(meas.items()):
       M[:, i, :]=np.array(v)
 
@@ -91,7 +91,7 @@ class geometry:
     # [.. .. ..]         [..]
     # [0  1 -bn]         [pny]
     #    A    * aa  =  y
-    A=np.ndarray((numPoints*2, 3), np.float)
+    A=np.ndarray((numPoints*2, 3), np.float64)
     A[:numPoints,:2]=(1,0)
     A[numPoints:,:2]=(0,1)
     A[:,2]=-AB.T.ravel()
@@ -102,7 +102,7 @@ class geometry:
     if debug:
       # plot least square line fitting
       ax.autoscale(False)
-      P=np.ndarray((2, 2), np.float)
+      P=np.ndarray((2, 2), np.float64)
 
       for i in range(numPoints):
         q=aa[2]
@@ -125,9 +125,9 @@ class geometry:
 # #    A    * aa  =  y
 
 # # calculate least square line fitting for each point
-# A=np.asmatrix(np.ndarray((numZoom, 2), np.float))
+# A=np.asmatrix(np.ndarray((numZoom, 2), np.float64))
 # A[:, 1]=1
-# AA=np.ndarray((numPoints, 2), np.float)  # fitting results a1..an b1..bn
+# AA=np.ndarray((numPoints, 2), np.float64)  # fitting results a1..an b1..bn
 # for i in range(numPoints):
 #   A[:, 0]=M[i, :, 0].reshape(-1, 1)
 #   y=np.asmatrix(M[i, :, 1]).T
@@ -139,7 +139,7 @@ class geometry:
 #   ax.autoscale(False)
 #   rngx=(M[:, :, 0].min(), M[:, :, 0].max())
 #   Y=np.stack((AA[:, 0]*rngx[0]+AA[:, 1], AA[:, 0]*rngx[1]+AA[:, 1]))
-#   P=np.ndarray((2, 2), np.float)
+#   P=np.ndarray((2, 2), np.float64)
 #   P[:, 0]=rngx
 
 #   for i in range(numPoints):
@@ -153,9 +153,9 @@ class geometry:
 
 # # [a1  -1] * [x]   [-b1]
 # # [a2  -1] * [y] = [-b2]
-# P=np.ndarray(((numPoints-1)*numPoints//2, 2), np.float)
+# P=np.ndarray(((numPoints-1)*numPoints//2, 2), np.float64)
 # k=0
-# D=np.ndarray((2, 2), np.float)
+# D=np.ndarray((2, 2), np.float64)
 # D[:, 1]=-1
 # # for i in range(numPoints):
 # #  for j in range(i+1,numPoints):
@@ -225,8 +225,8 @@ class geometry:
     if len(meas)<2:
       _log.error('need at least 2 zoom levels:\nmeas:{}'.format(meas))
       return
-    AA=np.ndarray((len(meas), 2, 2), np.float)
-    K=np.array(tuple(meas.keys()), np.float)
+    AA=np.ndarray((len(meas), 2, 2), np.float64)
+    K=np.array(tuple(meas.keys()), np.float64)
     for i, (k, v) in enumerate(meas.items()):
       m=np.array(v)  # measurements
       if m.shape[0]<3:
@@ -234,7 +234,7 @@ class geometry:
         return
       d=m[1:]-m[0]  # distances
 
-      A=np.zeros((d.shape[0]*2, d.shape[1]), np.float)
+      A=np.zeros((d.shape[0]*2, d.shape[1]), np.float64)
       A[:d.shape[0], :2]=A[d.shape[0]:, 2:]=d[:, 2:]
 
       y=d[:, :2].T.ravel()
@@ -341,7 +341,7 @@ class geometry:
     #  (1,0,1,0,0,0),
     #  (0,0,0,1,0,1),
     #  (1,1,1,0,0,0),
-    #  (0,0,0,1,1,1)), np.float)
+    #  (0,0,0,1,1,1)), np.float64)
 
     if fid is None:
       fid=np.array(((0,0),(0,1),(1,0),(1,1)))

swissmx.py

@@ -3453,7 +3453,7 @@ Author Thierry Zamofing (thierry.zamofing@psi.ch)
     sp.setup_sync(verbose=True)
     sp.setup_coord_trf()
 
-    assert(points.dtcfgype==np.float)
+    assert(points.dtcfgype==np.float64)
     sp.points = points
 
     if TASK_GRID == task: