From 3cd0bb67fbea6a1108e3812d9a4b323bbe600745 Mon Sep 17 00:00:00 2001
From: Mattia Mancini <mancini@astron.nl>
Date: Tue, 14 May 2019 09:49:28 +0000
Subject: [PATCH] SSB-44: missing import os
---
.../lib/datacontainers/holography_dataset.py | 15 ++++++++++-----
1 file changed, 10 insertions(+), 5 deletions(-)
diff --git a/CAL/CalibrationCommon/lib/datacontainers/holography_dataset.py b/CAL/CalibrationCommon/lib/datacontainers/holography_dataset.py
index 7c21b0c256a..77c2b4aa0b5 100644
--- a/CAL/CalibrationCommon/lib/datacontainers/holography_dataset.py
+++ b/CAL/CalibrationCommon/lib/datacontainers/holography_dataset.py
@@ -1,7 +1,9 @@
import logging
-import h5py
+import os
+import h5py
from lofar.calibration.common.datacontainers.holography_observation import HolographyObservation
+
from .holography_dataset_definitions import *
from .holography_specification import HolographySpecification
@@ -207,7 +209,8 @@ class HolographyDataset():
# the geometrical distance are not really cutting it since RA
# and DEC are coordinates of a spherical coordinate system.
# But here the pseudo distance is good enough.
- pseudo_distance[frequency_string][beamlet_string] = abs(ra - source_ra) + abs(dec - source_dec)
+ pseudo_distance[frequency_string][beamlet_string] = abs(ra - source_ra) + abs(
+ dec - source_dec)
# OK. Done with all the iteration business. Now check if across all
# _frequencies the same beamlet is the central one. It is allowed that
@@ -227,7 +230,8 @@ class HolographyDataset():
# All is good. Only one central beamlet.
central_beamlet[frequency_string] = keys[values.index(minimal_distance)]
else:
- text = "Found %d beamlets that have the same distance from the source position. Therefore a unique central beamlet does not exist." % (values.count(minimal_distance))
+ text = "Found %d beamlets that have the same distance from the source position. Therefore a unique central beamlet does not exist." % (
+ values.count(minimal_distance))
logger.error(text)
raise ValueError(text)
@@ -237,7 +241,9 @@ class HolographyDataset():
# the set will be 1.
central_beamlet_set = set(central_beamlet.values())
if len(central_beamlet_set) == 1:
- logger.debug("All is good, unicorns everywhere, there is only one central beamlet \"%s\" for all _frequencies.", central_beamlet_set)
+ logger.debug(
+ "All is good, unicorns everywhere, there is only one central beamlet \"%s\" for all _frequencies.",
+ central_beamlet_set)
else:
logger.warning("Multiple central beamlets have been identified: ", central_beamlet)
return central_beamlet
@@ -561,7 +567,6 @@ class HolographyDataset():
result.frequencies = list(f[HDS_FREQUENCY])
-
result.ra_dec = dict()
for frequency in f["RA_DEC"].keys():
for beamlet in f["RA_DEC"][frequency].keys():
--
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