Flake8 fixes

Author: Matt Bertrand

dataqs/cmap/cmap.py

@@ -5,10 +5,10 @@
 import shutil
 from datetime import date
 from ftplib import FTP
-
+from time import sleep
 from dateutil.relativedelta import relativedelta
 from dataqs.processor_base import GeoDataMosaicProcessor, GS_DATA_DIR, \
-    GS_TMP_DIR
+    GS_TMP_DIR, RSYNC_WAIT_TIME
 from dataqs.helpers import get_band_count, gdal_translate, \
     nc_convert, style_exists, cdo_fixlng
 
@@ -135,7 +135,7 @@ def run(self):
                 if dst_file.endswith('.tif'):
                     shutil.move(os.path.join(self.tmp_dir, band_tif), dst_file)
                     dst_files.append(dst_file)
-        time.sleep(RSYNC_WAIT_TIME * 2)
+        sleep(RSYNC_WAIT_TIME * 2)
         for dst_file in dst_files:
             self.post_geoserver(dst_file, self.layer_name, sleeptime=0)
 

dataqs/worldclim/worldclim.py

@@ -89,7 +89,7 @@ class WorldClimProcessor(GeoDataProcessor):
     base_description = (
         "WorldClim data layers were generated through interpolation of average "
         "monthly climate data from weather stations on a 30 arc-second "
-        "resolution grid (often referred to as "1 km2" resolution).\n\nMethods:"
+        "resolution grid (often referred to as '1 km2' resolution).\n\nMethods:"
         " http://worldclim.org/methods1\n\nSource: http://worldclim.org/"
         "version1\n\nCitation: Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. "
         "Jones and A. Jarvis, 2005. Very high resolution interpolated climate "