add ancillary dir for ancillary files

modules/deeplearning/icing_cnn.py

 import tensorflow as tf
-from util.setup import logdir, modeldir, cachepath, now
+from util.setup import logdir, modeldir, cachepath, now, ancillary_path
 from util.util import homedir, EarlyStop, normalize, make_for_full_domain_predict
 from util.geos_nav import get_navigation
 
@@ -39,12 +39,12 @@ NOISE_STDDEV = 0.01
 img_width = 16
 
 mean_std_dct = {}
-mean_std_file = homedir+'mean_std_lo_hi_l2.pkl'
+mean_std_file = ancillary_path+'mean_std_lo_hi_l2.pkl'
 f = open(mean_std_file, 'rb')
 mean_std_dct_l2 = pickle.load(f)
 f.close()
 
-mean_std_file = homedir+'mean_std_lo_hi_l1b.pkl'
+mean_std_file = ancillary_path+'mean_std_lo_hi_l1b.pkl'
 f = open(mean_std_file, 'rb')
 mean_std_dct_l1b = pickle.load(f)
 f.close()

modules/util/setup.py

 # To support both python 2 and python 3
 from __future__ import division, print_function, unicode_literals
 
-# Common imports
-import numpy as np
+import os
 
 from pathlib import Path
 
@@ -28,4 +27,12 @@ root_cachedir = home_dir+'/cache'
 cachepath = "{}/run-{}".format(root_cachedir, now)
 cachepath = cachepath+'.pkl'
 
+try:
+    user_paths = os.environ['PYTHONPATH'].split(os.pathsep)
+    python_path = user_paths[0] + os.sep
+    ancillary_path = python_path + 'ancillary' + os.sep
+except KeyError:
+    print('** PYTHONPATH must be defined! *')
+    python_path = None
+
 gpu_devices = {0: '/device:GPU:0', 1: '/device:GPU:1', 2: '/device:GPU:2'}

modules/util/util.py

@@ -9,6 +9,7 @@ from collections import namedtuple
 import os
 import h5py
 import pickle
+from util.setup import ancillary_path
 
 LatLonTuple = namedtuple('LatLonTuple', ['lat', 'lon'])
 
@@ -368,15 +369,15 @@ def normalize(data, param, mean_std_dict, add_noise=False, noise_scale=1.0, seed
     return data
 
 
-f = open(homedir+'geos_crs_goes16_FD.pkl', 'rb')
+f = open(ancillary_path+'geos_crs_goes16_FD.pkl', 'rb')
 geos_goes16_fd = pickle.load(f)
 f.close()
 
-f = open(homedir+'geos_crs_goes16_CONUS.pkl', 'rb')
+f = open(ancillary_path+'geos_crs_goes16_CONUS.pkl', 'rb')
 geos_goes16_conus = pickle.load(f)
 f.close()
 
-f = open(homedir+'geos_crs_H08_FD.pkl', 'rb')
+f = open(ancillary_path+'geos_crs_H08_FD.pkl', 'rb')
 geos_h08_fd = pickle.load(f)
 f.close()