def define_instrument(): # Define modules modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT+'.') modules.append(make_cached_subloader_module(steps.super_load, prefix=INSTRUMENT+'.')) modules.append(make_cached_subloader_module(steps.ncnr_load, prefix=INSTRUMENT+'.')) # Define data types refldata = df.DataType(INSTRUMENT+".refldata", ReflData) poldata = df.DataType(INSTRUMENT+".poldata", PolarizationData) deadtime = df.DataType(INSTRUMENT+".deadtime", DeadTimeData) footprint = df.DataType(INSTRUMENT+".footprint.params", FootprintData) #import json #import os #from pkg_resources import resource_string, resource_listdir #template_names = [fn for fn in resource_listdir('dataflow', 'templates') if fn.endswith(".json")] #templates = [json.loads(resource_string('dataflow', 'templates/' + tn)) for tn in template_names] #template_path = resource_path("../dataflow/templates") #template_names = [fn for fn in os.listdir(template_path) if fn.endswith(".json")] #templates = [json.loads(open(os.path.join(template_path, tn), 'r').read()) for tn in template_names] # Define instrument refl1d = df.Instrument( id=INSTRUMENT, name='NCNR reflectometer', menu=[('steps', modules)], datatypes=[refldata, poldata, deadtime, footprint], template_defs = templates.get_templates(INSTRUMENT), ) # Register instrument df.register_instrument(refl1d) return refl1d
def define_instrument(): # Define modules modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT + '.') # Define data types vsans_raw = df.DataType(INSTRUMENT + ".raw", RawVSANSData) vsans_realspace = df.DataType(INSTRUMENT + ".realspace", VSansDataRealSpace) vsans_qspace = df.DataType(INSTRUMENT + ".qspace", VSansDataQSpace) vsans_1d = df.DataType(INSTRUMENT + '.v1d', VSans1dData) #vsans_metadata = df.DataType(INSTRUMENT+".metadata", Metadata) params = df.DataType(INSTRUMENT + ".params", Parameters) # Define instrument vsans = df.Instrument( id=INSTRUMENT, name='NCNR Very Small Angle Neutron Scattering (VSANS) instrument', menu=[('steps', modules)], datatypes=[vsans_raw, vsans_realspace, vsans_qspace, params, vsans_1d], template_defs=df.load_templates(templates), ) # Register instrument df.register_instrument(vsans) return vsans
def define_instrument(): # Define modules actions = get_modules(steps) + get_modules(candor_steps) modules = make_modules(actions, prefix=INSTRUMENT + '.') modules.append( make_cached_subloader_module(steps.super_load, prefix=INSTRUMENT + '.')) modules.append( make_cached_subloader_module(steps.ncnr_load, prefix=INSTRUMENT + '.')) # Define data types refldata = df.DataType(INSTRUMENT + ".refldata", ReflData) poldata = df.DataType(INSTRUMENT + ".poldata", PolarizationData) psddata = df.DataType(INSTRUMENT + ".psddata", PSDData) candordata = df.DataType(INSTRUMENT + ".candordata", Candor) deadtime = df.DataType(INSTRUMENT + ".deadtime", DeadTimeData) footprint = df.DataType(INSTRUMENT + ".footprint.params", FootprintData) flux = df.DataType(INSTRUMENT + ".flux.params", FluxData) backgroundfield = df.DataType(INSTRUMENT + ".backgroundfield.params", BackgroundFieldData) plottable = df.DataType(INSTRUMENT + ".plot", Plottable) #import json #import os #from pkg_resources import resource_string, resource_listdir #template_names = [fn for fn in resource_listdir('dataflow', 'templates') if fn.endswith(".json")] #templates = [json.loads(resource_string('dataflow', 'templates/' + tn)) for tn in template_names] #template_path = resource_path("../dataflow/templates") #template_names = [fn for fn in os.listdir(template_path) if fn.endswith(".json")] #templates = [json.loads(open(os.path.join(template_path, tn), 'r').read()) for tn in template_names] # Define instrument refl1d = df.Instrument( id=INSTRUMENT, name='NCNR reflectometer', menu=[('steps', modules)], datatypes=[ refldata, poldata, psddata, candordata, deadtime, footprint, flux, backgroundfield, plottable, ], template_defs=df.load_templates(templates), ) # Register instrument df.register_instrument(refl1d) return refl1d
def define_instrument(): # Define modules modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT+'.') # Define data types sans2d = df.DataType(INSTRUMENT+".sans2d", SansData) sans1d = df.DataType(INSTRUMENT+".sans1d", Sans1dData) params = df.DataType(INSTRUMENT+".params", Parameters) #offset_data = df.DataType(INSTRUMENT+".offset_data", dict) # Define instrument sans = df.Instrument( id=INSTRUMENT, name='NCNR SANS', menu=[('steps', modules)], datatypes=[sans2d, sans1d, params], template_defs = templates.get_templates(INSTRUMENT), ) # Register instrument df.register_instrument(sans) return sans
def define_instrument(): # Define modules modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT+'.') # Define data types usansraw = df.DataType(INSTRUMENT+".raw", RawData) usansdata = df.DataType(INSTRUMENT+".data", USansData) usanscor = df.DataType(INSTRUMENT+".cor", USansCorData) params = df.DataType(INSTRUMENT+".params", Parameters) # Define instrument usans = df.Instrument( id=INSTRUMENT, name='NCNR Ultra-Small Angle Neutron Scattering Instrument (USANS)', menu=[('steps', modules)], datatypes=[usansdata, params, usanscor], # usansraw], template_defs=df.load_templates(templates), ) # Register instrument df.register_instrument(usans) return usans
def define_instrument(): # Define modules modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT + '.') # Define data types sans2d = df.DataType(INSTRUMENT + ".sans2d", SansData) sans1d = df.DataType(INSTRUMENT + ".sans1d", Sans1dData) params = df.DataType(INSTRUMENT + ".params", Parameters) #offset_data = df.DataType(INSTRUMENT+".offset_data", dict) # Define instrument sans = df.Instrument( id=INSTRUMENT, name='NCNR SANS', menu=[('steps', modules)], datatypes=[sans2d, sans1d, params], template_defs=templates.get_templates(INSTRUMENT), ) # Register instrument df.register_instrument(sans) return sans
def define_instrument(): # Define modules modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT+'.') # Define data types ospec2d = df.DataType(INSTRUMENT+".ospec2d", FilterableMetaArray) ospec1d = df.DataType(INSTRUMENT+".ospec1d", FilterableMetaArray) params = df.DataType(INSTRUMENT+".params", Parameters) #offset_data = df.DataType(INSTRUMENT+".offset_data", dict) # Define instrument ospec = df.Instrument( id=INSTRUMENT, name='NCNR offspecular', menu=[('steps', modules)], datatypes=[ospec2d, ospec1d, params], template_defs = templates.get_templates(INSTRUMENT), ) # Register instrument df.register_instrument(ospec) return ospec
def define_instrument(): # Define modules modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT+'.') # Define data types dcsraw = df.DataType(INSTRUMENT+".raw", RawData) eqdata = df.DataType(INSTRUMENT+".eq", EQData) ef2thetadata = df.DataType(INSTRUMENT+".ef2th", EfTwoThetaData) eq1ddata = df.DataType(INSTRUMENT+".eq1d", DCS1dData) #params = df.DataType(INSTRUMENT+".params", Parameters) # Define instrument dcs = df.Instrument( id=INSTRUMENT, name='NCNR Disk Chopper Spectrometer', menu=[('steps', modules)], datatypes=[dcsraw, eqdata, eq1ddata, ef2thetadata], # params], template_defs=templates.get_templates(INSTRUMENT), ) # Register instrument df.register_instrument(dcs) return dcs
def define_instrument(): # Define modules modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT + '.') # Define data types dcsraw = df.DataType(INSTRUMENT + ".raw", RawData) eqdata = df.DataType(INSTRUMENT + ".eq", EQData) ef2thetadata = df.DataType(INSTRUMENT + ".ef2th", EfTwoThetaData) eq1ddata = df.DataType(INSTRUMENT + ".eq1d", DCS1dData) #params = df.DataType(INSTRUMENT+".params", Parameters) # Define instrument dcs = df.Instrument( id=INSTRUMENT, name='NCNR Disk Chopper Spectrometer', menu=[('steps', modules)], datatypes=[dcsraw, eqdata, eq1ddata, ef2thetadata], # params], template_defs=df.load_templates(templates), ) # Register instrument df.register_instrument(dcs) return dcs
def define_instrument(): # Define modules modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT + '.') # Define data types ospec2d = df.DataType(INSTRUMENT + ".ospec2d", FilterableMetaArray) #ospec1d = df.DataType(INSTRUMENT+".ospec1d", FilterableMetaArray) ospecnd = df.DataType(INSTRUMENT + ".ospecnd", FilterableMetaArray) params = df.DataType(INSTRUMENT + ".params", Parameters) #offset_data = df.DataType(INSTRUMENT+".offset_data", dict) # Define instrument ospec = df.Instrument( id=INSTRUMENT, name='NCNR offspecular', menu=[('steps', modules)], datatypes=[ospec2d, ospecnd, params], template_defs=df.load_templates(templates), ) # Register instrument df.register_instrument(ospec) return ospec
def define_instrument(): # Define modules modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT + '.') modules.append( make_cached_subloader_module(steps.super_load, prefix=INSTRUMENT + '.')) modules.append( make_cached_subloader_module(steps.ncnr_load, prefix=INSTRUMENT + '.')) # Define data types refldata = df.DataType(INSTRUMENT + ".refldata", ReflData) poldata = df.DataType(INSTRUMENT + ".poldata", PolarizationData) deadtime = df.DataType(INSTRUMENT + ".deadtime", DeadTimeData) footprint = df.DataType(INSTRUMENT + ".footprint.params", FootprintData) flux = df.DataType(INSTRUMENT + ".flux.params", FluxData) #import json #import os #from pkg_resources import resource_string, resource_listdir #template_names = [fn for fn in resource_listdir('dataflow', 'templates') if fn.endswith(".json")] #templates = [json.loads(resource_string('dataflow', 'templates/' + tn)) for tn in template_names] #template_path = resource_path("../dataflow/templates") #template_names = [fn for fn in os.listdir(template_path) if fn.endswith(".json")] #templates = [json.loads(open(os.path.join(template_path, tn), 'r').read()) for tn in template_names] # Define instrument refl1d = df.Instrument( id=INSTRUMENT, name='NCNR reflectometer', menu=[('steps', modules)], datatypes=[refldata, poldata, deadtime, footprint, flux], template_defs=templates.get_templates(INSTRUMENT), ) # Register instrument df.register_instrument(refl1d) return refl1d