Adjust inputdata path

DRprotein_demo.py

 #Input, Output and Logfiles
 problemName = '1PTQ'
-inputFile   = '../inputdata/1PTQ.pdb' #in InputFiles directory
+inputFile   = 'inputdata/1PTQ.pdb' #in InputFiles directory
 outputFile  = '1PTQrecon.pdb'
 
 #Parameters used by all variants of the algorithm

proxtoolbox/Problems/inpainting.py

@@ -367,7 +367,7 @@ class Inpainting(Problem):
     
     default_config = {
         'sim_data_type':'scarf.png',
-        'data_path':'../inputdata/',
+        'data_path':'inputdata/',
         'Nx':100,
         'Ny':100,
         'Nz':1,
@@ -495,7 +495,7 @@ class Inpainting(Problem):
         
         sample_plane = None;
         if self.config['sim_data_type'] == 'gaenseliesel':
-            g = pyplot.imread('../inputdata/gaenseliesel.png').astype(numpy.float);
+            g = pyplot.imread('inputdata/gaenseliesel.png').astype(numpy.float);
             g /= numpy.amax(g);
             g = 0.8*g + 0.1;
             sample_plane = numpy.abs(g) * (numpy.cos(g) + 1j*numpy.sin(g));

proxtoolbox/Problems/ptychography.py

@@ -1937,7 +1937,7 @@ class Ptychography(Problem):
         
         sample_plane = None;
         if self.config['sim_data_type'] == 'gaenseliesel':
-            g = pyplot.imread('../inputdata/gaenseliesel.png').astype(numpy.float);
+            g = pyplot.imread('inputdata/gaenseliesel.png').astype(numpy.float);
             g /= numpy.amax(g);
             g = 0.8*g + 0.1;
             sample_plane = numpy.abs(g) * (numpy.cos(g) + 1j*numpy.sin(g));
@@ -2441,18 +2441,18 @@ class Ptychography_NTT_01_26210(Ptychography):
         Overloads the corresponding method of :class:`Ptychography`
         to create other experiment data
         """
-        data = scipy.io.loadmat('../../inputdata/data_NTT_01_26210_192x192.mat');
+        data = scipy.io.loadmat('../inputdata/data_NTT_01_26210_192x192.mat');
         d1y = data['d1y'][0][0];
         d1x = data['d1x'][0][0];
         i_exp = data['I_exp'];
         l = data['lambda'][0][0];
         z01 = data['z01'][0][0];
         self.config['fmask'] = data['fmask'].astype(numpy.float);
-        data = scipy.io.loadmat('../../inputdata/reconstruction_data_NTT_01_26210_192x192.mat');
+        data = scipy.io.loadmat('../inputdata/reconstruction_data_NTT_01_26210_192x192.mat');
         probe = data['Probe'];
         sample_plane = data['object'];
         
-        data = scipy.io.loadmat('../../inputdata/positions_NTT_01_26210.mat')
+        data = scipy.io.loadmat('../inputdata/positions_NTT_01_26210.mat')
         positions = data['positions'].astype(numpy.float);
         positions[:,0] /= d1y;
         positions[:,0] -= numpy.amin(positions[:,0]);