""" """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS']= os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./yaml/pool1_feedback1.yml") except Exception, e: print e scheduler.Run(finish=True) print "Done!"
#! /usr/bin/env python """ """ import pdb import os from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True, service_directory="tests/python/test_services/") try: scheduler.Load("./tests/yaml/service_1.yml") except Exception, e: print e services = scheduler.GetLoadedServices() services.sort() for s in services:
""" import pdb import os import sys os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=False) my_model_container = None # # Create a model container service and load an ndf file # my_model_container = scheduler.CreateService(name="My Model Container", type="model_container") my_model_container.Load('tests/cells/purk_test.ndf') my_model_container.SetParameter('/purk_test/segments/soma', 'INJECT', 2e-09) inject_value = scheduler.GetParameter('/purk_test/segments/soma', 'INJECT')
""" import pdb import os import sys os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) my_model_container = None # # Create a model container service and load an ndf file # my_model_container = scheduler.CreateService(name="My Model Container", type="model_container") my_model_container.Load('tests/cells/singlep.ndf') # # Must create solver. # my_heccer = scheduler.CreateSolver('My solver', 'heccer')
""" """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS']= os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./tests/yaml/purk_test_soma.yml") except Exception, e: print "Error while loading schedule file: %s" % e scheduler.Run(finish=True)
""" import pdb import os import sys os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) my_model_container = None # # Create a model container service and load an ndf file # my_model_container = scheduler.CreateService(name="My Model Container", type="model_container") my_model_container.Load('tests/cells/purk_test.ndf') my_model_container.SetParameter('/purk_test/segments/soma', 'INJECT', 2e-09) # # Must create solver.
""" """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS']= os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) my_model_container = None # # Create a model container service and load an ndf file # my_model_container = scheduler.CreateService(name="My Model Container", type="model_container") my_model_container.Load('tests/cells/singlep.ndf') #
""" """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS']= os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./yaml/purkinje/edsjb1994-endogenous.yml") except Exception, e: print e scheduler.Run() print "Done!"
#! /usr/bin/env python """ """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy() try: scheduler.Load("./yaml/springmass3.yml") except Exception, e: print e scheduler.Run() print "Done!"
#! /usr/bin/env python """ """ import pdb import os from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./yaml/purkinje/edsjb1994-perfectclamp.yml") except Exception, e: print "Error while loading schedule file: %s" % e scheduler.Run() print "Done!"
""" """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS']= os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=False) try: scheduler.Load("./yaml/purk_test.yml") except Exception, e: print "Error while loading schedule file: %s" % e from sspy.save import Save sspy_save = Save(scheduler) sspy_save.SaveToFile()
#! /usr/bin/env python """ """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy() try: scheduler.Load("./tests/yaml/singlea-naf2-aggregator.yml") except Exception, e: print e scheduler.Run()
#! /usr/bin/env python """ """ import pdb import os from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True, solver_directory="tests/python/test_solvers/", service_directory="tests/python/test_services/") try: scheduler.Load("./tests/yaml/solver_1.yml") except Exception, e: print e scheduler.Dump()
""" import pdb import os import sys os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) my_model_container = None # # Create a model container service and load an ndf file # my_model_container = scheduler.CreateService(name="My Model Container", type="model_container") # we go one layer lower below the plugin layer so that we # can do work on the model container core. my_mc_object = my_model_container.GetObject() #pdb.set_trace() my_mc_object.NDFLoadLibrary('cells/RScell-nolib2.ndf', 'rscell')
#! /usr/bin/env python """ """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS']= os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./yaml/heccer/singlep.yml") except Exception, e: print e scheduler.Run(finish=True)
sys.path.append( os.path.join(os.environ['HOME'], 'neurospaces_project/sspy/source/snapshots/0/tests/python')) # The location of model files to be loaded os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) my_model_container = None # # Create a model container service and load an ndf file # my_model_container = scheduler.CreateService(name="My Model Container", type="model_container") my_model_container.Load('chemesis/cal1.ndf') # # Must create solver. # my_chemesis3 = scheduler.CreateSolver('My Chemesis3', 'chemesis3')
#! /usr/bin/env python """ """ import pdb import os from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./yaml/pulsegen_freerun.yml") except Exception, e: print "Error while loading schedule file: %s" % e scheduler.Run(finish=True)
#! /usr/bin/env python """ """ import pdb import os from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./yaml/output1.yml") except Exception, e: print e scheduler.Dump()
sys.path.append( os.path.join(os.environ['HOME'], 'neurospaces_project/sspy/source/snapshots/0/tests/python')) os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) my_model_container = None # # Create a model container service and load an ndf file # my_model_container = scheduler.CreateService(name="My Model Container", type="model_container") my_model_container.Load('cells/purkinje/edsjb1994.ndf') # # Must create solver. # my_heccer = scheduler.CreateSolver('My solver', 'heccer')
#! /usr/bin/env python """ """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./yaml/pool1_contributors2.yml") except Exception, e: print e scheduler.Run(finish=True) print "Done!"
#! /usr/bin/env python """ """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS']= os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./yaml/purk_test_segment.yml") except Exception, e: print "Error while loading schedule file: %s" % e scheduler.Run(finish=True) print "Done!"
""" import pdb import os os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=False) try: scheduler.Load("./yaml/output4.yml") except Exception, e: print "Error while loading schedule file: %s" % e from sspy.save import Save sspy_save = Save(scheduler) sspy_save.SaveToFile()
""" import pdb import os os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=False) try: scheduler.Load("./yaml/purk_test.yml") except Exception, e: print "Error while loading schedule file: %s" % e elements = scheduler.GetElements() print "Top level child is: %s" % elements[0] print "Number of elements is %s" % len(elements) coords = scheduler.GetCoordinates()
""" """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS']= os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./yaml/addressing_aggregator1.yml") except Exception, e: print e scheduler.Run() print "Done!"
#! /usr/bin/env python """ """ import pdb import os os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) try: scheduler.Load("./yaml/output1.yml") except Exception, e: print e scheduler.Run(finish=True) print "Done!"
""" import pdb import os import sys os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() #pdb.set_trace() from sspy import SSPy scheduler = SSPy(verbose=True) my_model_container = None # # Create a model container service and load an ndf file # my_model_container = scheduler.CreateService(name="My Model Container", type="model_container") my_model_container.Load('tests/cells/singlep.ndf') # # Must create solver. # my_heccer = scheduler.CreateSolver('My solver', 'heccer')
""" import pdb import os os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=True) my_model_container = None # # Create a model container service and load an ndf file # my_model_container = scheduler.CreateService(name="My Model Container", type="model_container") my_model_container.Load('tests/cells/singlep.ndf') # # Must create solver. # my_heccer = scheduler.CreateSolver('My solver', 'heccer')
""" import pdb import os import sys os.environ['NEUROSPACES_NMC_MODELS'] = os.path.join('/', 'usr', 'local', 'neurospaces', 'models', 'library') from test_library import add_sspy_path add_sspy_path() from sspy import SSPy scheduler = SSPy(verbose=False) my_model_container = None # # Create a model container service and load an ndf file # my_model_container = scheduler.CreateService(name="My Model Container", type="model_container") my_model_container.Load('tests/cells/purk_test.ndf') my_model_container.SetParameter('/purk_test/segments/soma', 'INJECT', 2e-09) element = '/purk_test/segments/soma'