fix one limit case: when basin number is smaller than process number

Signed-off-by: Julien Veyssier <eneiluj@posteo.net>

modules/hrudelin_parms_J2000.py

@@ -357,8 +357,8 @@ def main(parms_file, nbProc, generator=False):
     print('%s, %s, %s ... %s, %s, %s ' % (
         basin_ids[0].rstrip('\n'),
         basin_ids[1].rstrip('\n'),
-        basin_ids[2].rstrip('\n'),
-        basin_ids[-3].rstrip('\n'),
+        basin_ids[2].rstrip('\n') if len(basin_ids) > 2 else '???',
+        basin_ids[-3].rstrip('\n') if len(basin_ids) > 2 else '???',
         basin_ids[-2].rstrip('\n'),
         basin_ids[-1].rstrip('\n')
     ))
@@ -415,15 +415,19 @@ def main(parms_file, nbProc, generator=False):
     tbflFrames = []
     for i in range(nbProc):
         n = i + 1
-        df = pd.read_table(os.path.join(tmpPath, 'topologie_to_hru.par_tmp_proc%s' % n), names=('a', 'b', 'c', 'd'))
-        df.dropna(inplace=True)
-        df = df.astype({'a': int, 'b': int, 'c': int, 'd': str})
-        tthFrames.append(df)
-
-        df = pd.read_table(os.path.join(tmpPath, 'topologie_bfl.par_tmp_proc%s' % n), names=('a', 'b', 'c'))
-        df.dropna(inplace=True)
-        df = df.astype({'a': int, 'b': int, 'c': str})
-        tbflFrames.append(df)
+        tthNPath = os.path.join(tmpPath, 'topologie_to_hru.par_tmp_proc%s' % n)
+        tbflNPath = os.path.join(tmpPath, 'topologie_bfl.par_tmp_proc%s' % n)
+        # they might not exist if subbasin number is less than number of process...
+        if os.path.exists(tthNPath) and os.path.exists(tbflNPath):
+            df = pd.read_table(tthNPath, names=('a', 'b', 'c', 'd'))
+            df.dropna(inplace=True)
+            df = df.astype({'a': int, 'b': int, 'c': int, 'd': str})
+            tthFrames.append(df)
+
+            df = pd.read_table(tbflNPath, names=('a', 'b', 'c'))
+            df.dropna(inplace=True)
+            df = df.astype({'a': int, 'b': int, 'c': str})
+            tbflFrames.append(df)
 
     strTime = time.strftime('%a, %d %b %Y, %H:%M:%S', time.localtime())
     dfTth = pd.concat(tthFrames)