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### the DISPATCHER is responsible for job management
[dispatcher]
type = local # run locally
#ncores = 4 # optionally, specify number of cores (autodetect by default)
# to use the OAR cluster:
#type = oar
#tmpdir = /some/globally/available/path
#oarsub_options = walltime=0:15 # optionally, tweak oarsub parameters
#executable = python /data/id03/inhouse/binoculars/binoculars.py # optionally, override default location of python and/or BINoculars installation
# specificy destination file using scan numbers
destination = demo_{first}-{last}.hdf5
overwrite = true
# or, by default: numbered files in the form output_###.hdf5:
# destination = output.hdf5
# overwrite = false
### choose an appropriate INPUT class and specify custom options
[input]
type = id03:eh1 # refers to class EH1 in BINoculars/backends/id03.py
specfile = /path/to/data/file.spec
imagefolder = /path/to/data/images/{rUCCD[0]}/
## approximate number of images per job, only useful when running on the oar cluster
target_weight = 4000
# technical yadayada for this particular input class
centralpixel = 40, 255 # x,y
sdd = 1050 # sample to detector distance (mm)
pixelsize = 0.055, 0.055 # pixel size x/y (mm)
ymask = 185-253,262-400
xmask = 50-235
### choose PROJECTION plus resolution
[projection]
type = id03:hklprojection # refers to HKLProjection in BINoculars/backends/id03.py
resolution = 0.002, 0.002, 1 # or just give 1 number for all dimensions
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