Remove __future__ imports (#95)

gpfit/ba_init.py

@@ -1,5 +1,4 @@
 "Implements ba_init"
-from __future__ import print_function
 from numpy import ones, hstack, zeros, tile, argmin
 from numpy.linalg import lstsq, matrix_rank
 from numpy.random import permutation as randperm

gpfit/fit_constraintset.py

@@ -1,6 +1,4 @@
 " fit constraint set "
-from __future__ import print_function
-from __future__ import division
 from gpkit import ConstraintSet
 from gpkit import Variable, NomialArray, NamedVariables, VectorVariable
 from numpy import amax, array, hstack, where

gpfit/implicit_softmax_affine.py

@@ -1,5 +1,4 @@
 "Implements ISMA residual function"
-from __future__ import division
 from numpy import ones, nan, inf, hstack, dot, tile
 from .lse_implicit import lse_implicit
 

gpfit/levenberg_marquardt.py

@@ -1,6 +1,4 @@
 "Implements LM"
-from __future__ import print_function
-from __future__ import division
 from time import time
 from sys import float_info
 import numpy as np

gpfit/lse_implicit.py

@@ -1,6 +1,4 @@
 "Implements lse_implicit"
-from __future__ import print_function
-from __future__ import division
 from numpy import zeros, spacing, exp, log, tile
 
 

gpfit/lse_scaled.py

@@ -1,5 +1,4 @@
 "Implements lse_scaled"
-from __future__ import division
 from numpy import tile, exp, log
 
 

gpfit/max_affine.py

@@ -1,5 +1,4 @@
 "Implements MA residual function"
-from __future__ import division
 import numpy as np
 
 

gpfit/plot_fit.py

@@ -1,10 +1,10 @@
 "Fit plotting"
-from __future__ import division
 import numpy as np
 import matplotlib.pyplot as plt
 from gpfit.fit import fit
 from gpfit.print_fit import print_MA, print_SMA
 
+
 # pylint: disable=invalid-name
 # pylint: disable=too-many-locals
 def plot_fit_1d(udata, wdata, K=1, fitclass='MA', plotspace='log'):
@@ -22,7 +22,6 @@ def plot_fit_1d(udata, wdata, K=1, fitclass='MA', plotspace='log'):
             WW += [np.exp(B[k])*uu**A[k]]
         stringlist = print_MA(A, B, 1, K)
 
-
     if fitclass == 'SMA':
         wexps, = cstrt.left.exps
         alpha, = list(wexps.values())
@@ -53,6 +52,7 @@ def plot_fit_1d(udata, wdata, K=1, fitclass='MA', plotspace='log'):
     plt.show()
     return f, ax
 
+
 if __name__ == "__main__":
     N = 51
     U = np.logspace(0, np.log10(3), N)

gpfit/print_fit.py

@@ -1,5 +1,4 @@
 "Implements functions for raw fit printing from params"
-from __future__ import print_function
 from numpy import exp
 
 

gpfit/softmax_affine.py

@@ -1,5 +1,4 @@
 "Implements SMA residual function"
-from __future__ import division
 from numpy import size, inf, nan, ones, hstack, dot, tile
 from .lse_scaled import lse_scaled
 

gpfit/xfoil_wrapper.py

@@ -1,9 +1,8 @@
 " python wrapper to call xfoil "
-from __future__ import print_function
-from __future__ import division
 import subprocess
 import numpy as np
 
+
 #pylint: disable=invalid-name, bare-except, too-many-locals
 #pylint: disable=too-many-arguments