# we estimated the matrix from something in this run.
# though we don't really care which lane it was
if matrix_auto_lane == 0:
- matrix_path = os.path.join(bustard_path,
- 'Matrix', 's_02_matrix.txt')
+ auto_lane_fragment = ""
else:
- matrix_path = os.path.join(bustard_path, 'Matrix',
- 's_%d_1_matrix.txt' % (matrix_auto_lane,))
+ auto_lane_fragment = "_%d" % ( matrix_auto_lane,)
+
+ for matrix_name in ['s%s_02_matrix.txt' % (auto_lane_fragment,),
+ 's%s_1_matrix.txt' % (auto_lane_fragment,),
+ ]:
+ matrix_path = os.path.join(bustard_path, 'Matrix', matrix_name)
+ if os.path.exists(matrix_path):
+ break
+ else:
+ raise RuntimeError("Couldn't find matrix for lane %d" % \
+ (matrix_auto_lane,))
+
crosstalk = CrosstalkMatrix(matrix_path)
else:
matrix_elements = call_parameters.find('MatrixElements')
os.mkdir(destdir)
source = os.path.join(TESTDATA_DIR, '61MMFAAXX_4_1_matrix.txt')
- for lane in LANE_LIST:
- destination = os.path.join(destdir, 's_%d_1_matrix.txt' % ( lane, ))
+ lane_fragments = [ "_%d" % (l,) for l in LANE_LIST]
+ for fragment in lane_fragments:
+ destination = os.path.join(destdir, 's%s_1_matrix.txt' % ( fragment, ))
shutil.copy(source, destination)
def make_phasing_dir(bustard_dir):