diff --git a/modules/util/util.py b/modules/util/util.py
index bca827668643e06b0e799990eb7ddcca5f786fc8..4cb825316a0e4da6477ea93e2c9776655fd008f6 100644
--- a/modules/util/util.py
+++ b/modules/util/util.py
@@ -411,32 +411,30 @@ def get_cartopy_crs(satellite, domain):
     return geos, xlen, xmin, xmax, ylen, ymin, ymax
 
 
-# ------------ This code will not be needed when we implement a Fully Connected CNN -----------------------------------
 # Example GOES file to retrieve GEOS parameters in MetPy form (CONUS)
 exmp_file_conus = '/Users/tomrink/data/OR_ABI-L1b-RadC-M6C14_G16_s20193140811215_e20193140813588_c20193140814070.nc'
 # Full Disk
 exmp_file_fd = '/Users/tomrink/data/OR_ABI-L1b-RadF-M6C16_G16_s20212521800223_e20212521809542_c20212521809596.nc'
 
+# keep for reference
+# if domain == 'CONUS':
+#     exmpl_ds = xr.open_dataset(exmp_file_conus)
+# elif domain == 'FD':
+#     exmpl_ds = xr.open_dataset(exmp_file_fd)
+# mdat = exmpl_ds.metpy.parse_cf('Rad')
+# geos = mdat.metpy.cartopy_crs
+# xlen = mdat.x.values.size
+# ylen = mdat.y.values.size
+# exmpl_ds.close()
+
 
+# ------------ This code will not be needed when we implement a Fully Connected CNN -----------------------------------
 def make_for_full_domain_predict(h5f, name_list=None, satellite='GOES16', domain='FD'):
     w_x = 16
     w_y = 16
 
-    # keep for reference
-    # if domain == 'CONUS':
-    #     exmpl_ds = xr.open_dataset(exmp_file_conus)
-    # elif domain == 'FD':
-    #     exmpl_ds = xr.open_dataset(exmp_file_fd)
-    # mdat = exmpl_ds.metpy.parse_cf('Rad')
-    # geos = mdat.metpy.cartopy_crs
-    # xlen = mdat.x.values.size
-    # ylen = mdat.y.values.size
-    # exmpl_ds.close()
-
     geos, xlen, xmin, xmax, ylen, ymin, ymax = get_cartopy_crs(satellite, domain)
 
-    #h5f = h5py.File(clvrx_file, 'r')
-
     grd_dct = {name: None for name in name_list}
 
     cnt_a = 0
@@ -474,7 +472,5 @@ def make_for_full_domain_predict(h5f, name_list=None, satellite='GOES16', domain
     for didx, ds_name in enumerate(name_list):
         grd_dct[ds_name] = np.stack(grd_dct_n[ds_name])
 
-    #h5f.close()
-
     return grd_dct, ll, cc
 # -------------------------------------------------------------------------------------------
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