def install(version):
if not JNeuroMLEngine.is_installed(None):
JNeuroMLEngine.install(None)
inform("%s installed JNeuroML..." % JNeuroMLNetPyNEEngine.name,
indent=2,
verbosity=1)
if not NetPyNEEngine.is_installed(None):
NetPyNEEngine.install(None)
inform("%s installed NetPyNE (& NEURON)..." %
JNeuroMLNetPyNEEngine.name,
indent=2,
verbosity=1)
environment_vars_nrn, path_nrn = NeuronEngine.get_nrn_environment()
JNeuroMLNetPyNEEngine.path = JNeuroMLEngine.path + ":" + path_nrn
JNeuroMLNetPyNEEngine.environment_vars = {}
JNeuroMLNetPyNEEngine.environment_vars.update(
JNeuroMLEngine.environment_vars)
JNeuroMLNetPyNEEngine.environment_vars.update(
NetPyNEEngine.environment_vars)
JNeuroMLNetPyNEEngine.environment_vars.update(environment_vars_nrn)
inform("PATH: " + JNeuroMLNetPyNEEngine.path)
inform("Env vars: %s" % JNeuroMLNetPyNEEngine.environment_vars)
def is_installed(version):
if is_verbose():
inform("Checking whether %s is installed..." %
JNeuroMLPyNNNRNEngine.name,
indent=1)
return JNeuroMLEngine.is_installed(
None) and PyNNNRNEngine.is_installed(None)
def install(version):
if not JNeuroMLEngine.is_installed(None):
JNeuroMLEngine.install(None)
if not NeuronEngine.is_installed(None):
NeuronEngine.install(None)
JNeuroMLNRNEngine.get_jnmlnrnenv()
def install(version):
if not JNeuroMLEngine.is_installed(None):
JNeuroMLEngine.install(None)
JNeuroMLValidateEngine.path = JNeuroMLEngine.path
JNeuroMLValidateEngine.environment_vars = {}
JNeuroMLValidateEngine.environment_vars.update(
JNeuroMLEngine.environment_vars)
def install(version):
if not JNeuroMLEngine.is_installed(None):
JNeuroMLEngine.install(None)
JNeuroMLValidateEngine.path = JNeuroMLEngine.path
JNeuroMLValidateEngine.environment_vars = {}
JNeuroMLValidateEngine.environment_vars.update(
JNeuroMLEngine.environment_vars)
def install(version):
if not JNeuroMLEngine.is_installed(None):
JNeuroMLEngine.install(None)
if not MooseEngine.is_installed(None):
MooseEngine.install(None)
JNeuroMLMooseEngine.path = JNeuroMLEngine.path + \
":" + JNeuroMLMooseEngine.path
JNeuroMLMooseEngine.environment_vars = {}
JNeuroMLMooseEngine.environment_vars.update(
JNeuroMLEngine.environment_vars)
JNeuroMLMooseEngine.environment_vars.update(
MooseEngine.environment_vars)
inform("PATH: " + JNeuroMLMooseEngine.path)
inform("Env vars: %s" % JNeuroMLMooseEngine.environment_vars)
def install(version):
if not JNeuroMLEngine.is_installed(None):
JNeuroMLEngine.install(None)
if not Brian1Engine.is_installed(None):
Brian1Engine.install(None)
JNeuroMLBrianEngine.path = JNeuroMLEngine.path + \
":" + Brian1Engine.path
JNeuroMLBrianEngine.environment_vars = {}
JNeuroMLBrianEngine.environment_vars.update(
JNeuroMLEngine.environment_vars)
JNeuroMLBrianEngine.environment_vars.update(
Brian1Engine.environment_vars)
inform("PATH: " + JNeuroMLBrianEngine.path)
inform("Env vars: %s" % JNeuroMLBrianEngine.environment_vars)
def install(version):
if not JNeuroMLEngine.is_installed(None):
JNeuroMLEngine.install(None)
if not NeuronEngine.is_installed(None):
NeuronEngine.install(None)
environment_vars_nrn, path_nrn = NeuronEngine.get_nrn_environment()
JNeuroMLNRNEngine.path = JNeuroMLEngine.path + \
":" + path_nrn
JNeuroMLNRNEngine.environment_vars = {}
JNeuroMLNRNEngine.environment_vars.update(
JNeuroMLEngine.environment_vars)
JNeuroMLNRNEngine.environment_vars.update(environment_vars_nrn)
inform("PATH: " + JNeuroMLNRNEngine.path)
inform("Env vars: %s" % JNeuroMLNRNEngine.environment_vars)
def install(version):
if not JNeuroMLEngine.is_installed(None):
JNeuroMLEngine.install(None)
inform("%s installed JNeuroML..." % JNeuroMLNetPyNEEngine.name, indent=2, verbosity =1)
if not NetPyNEEngine.is_installed(None):
NetPyNEEngine.install(None)
inform("%s installed NetPyNE (& NEURON)..." % JNeuroMLNetPyNEEngine.name, indent=2, verbosity =1)
environment_vars_nrn, path_nrn = NeuronEngine.get_nrn_environment()
JNeuroMLNetPyNEEngine.path = JNeuroMLEngine.path+":"+path_nrn
JNeuroMLNetPyNEEngine.environment_vars = {}
JNeuroMLNetPyNEEngine.environment_vars.update(JNeuroMLEngine.environment_vars)
JNeuroMLNetPyNEEngine.environment_vars.update(NetPyNEEngine.environment_vars)
JNeuroMLNetPyNEEngine.environment_vars.update(environment_vars_nrn)
inform("PATH: " + JNeuroMLNetPyNEEngine.path)
inform("Env vars: %s" % JNeuroMLNetPyNEEngine.environment_vars)
def install(version):
if not JNeuroMLEngine.is_installed(None):
JNeuroMLEngine.install(None)
if not NeuronEngine.is_installed(None):
NeuronEngine.install(None)
environment_vars_nrn, path_nrn = NeuronEngine.get_nrn_environment()
JNeuroMLNRNEngine.path = JNeuroMLEngine.path + \
":" + path_nrn
JNeuroMLNRNEngine.environment_vars = {}
JNeuroMLNRNEngine.environment_vars.update(
JNeuroMLEngine.environment_vars)
JNeuroMLNRNEngine.environment_vars.update(
environment_vars_nrn)
inform("PATH: " + JNeuroMLNRNEngine.path)
inform("Env vars: %s" % JNeuroMLNRNEngine.environment_vars)
def is_installed(version):
if is_verbose():
inform("Checking whether %s is installed..." %
JNeuroMLMooseEngine.name, indent=1)
return JNeuroMLEngine.is_installed(None) and MooseEngine.is_installed(None)
def is_installed(version):
return JNeuroMLEngine.is_installed(None)
def is_installed(version):
return JNeuroMLEngine.is_installed(None)