Removed np.int to avoid deprecation warning

Author: lindonroberts

dfols/model.py

@@ -71,7 +71,7 @@ def __init__(self, npt, x0, r0, xl, xu, r0_nsamples, n=None, m=None, abs_tol=1e-
         self.fval = np.inf * np.ones((npt, ))  # overall objective value for each xpt
         self.fval[0] = sumsq(r0)
         self.kopt = 0  # index of current iterate (should be best value so far)
-        self.nsamples = np.zeros((npt,), dtype=np.int)  # number of samples used to evaluate objective at each point
+        self.nsamples = np.zeros((npt,), dtype=int)  # number of samples used to evaluate objective at each point
         self.nsamples[0] = r0_nsamples
         self.fbeg = self.fval[0]  # f(x0), saved to check for sufficient reduction
 

dfols/trust_region.py

@@ -103,7 +103,7 @@ def trsbox(xopt, g, H, sl, su, delta, use_fortran=USE_FORTRAN):
     iterc = 0
     nact = 0  # number of fixed variables
 
-    xbdi = np.zeros((n,), dtype=np.int)  # fix x_i at bounds? [values -1, 0, 1]
+    xbdi = np.zeros((n,), dtype=int)  # fix x_i at bounds? [values -1, 0, 1]
     xbdi[(xopt <= sl) & (g >= 0.0)] = -1
     xbdi[(xopt >= su) & (g <= 0.0)] = 1