def install(version):
if not PyNestEngine.is_installed(None):
PyNestEngine.install(version) # interpret version as version of NEST!
inform("%s installed PyNest..." % PyNNNestEngine.name, indent=2, verbosity =1)
if not PyNNEngine.is_installed(None):
PyNNEngine.install(None)
inform("%s installed PyNN..." % PyNNNestEngine.name, indent=2, verbosity =1)
def install(version):
if not PyNestEngine.is_installed(None):
PyNestEngine.install(version) # interpret version as version of NEST!
inform("%s installed PyNest..." % PyNNNestEngine.name, indent=2, verbosity =1)
if not PyNNEngine.is_installed(None):
PyNNEngine.install(None)
inform("%s installed PyNN..." % PyNNNestEngine.name, indent=2, verbosity =1)
def install(version):
if not PyNeuroMLEngine.is_installed(None):
PyNeuroMLEngine.install(None)
inform("%s installed PyNeuroML..." % PyNNNeuroMLEngine.name, indent=2, verbosity =1)
if not PyNNEngine.is_installed(None):
PyNNEngine.install(None)
inform("%s installed PyNN..." % PyNNNeuroMLEngine.name, indent=2, verbosity =1)
def install(version):
if not NeuronEngine.is_installed(None):
NeuronEngine.install(None)
inform("%s installed NEURON..." % PyNNNRNEngine.name, indent=2, verbosity =1)
if not PyNNEngine.is_installed(None):
PyNNEngine.install(None)
inform("%s installed PyNN..." % PyNNNRNEngine.name, indent=2, verbosity =1)
PyNNNRNEngine.path = PyNNEngine.path + \
":" + NeuronEngine.path
PyNNNRNEngine.environment_vars = {}
PyNNNRNEngine.environment_vars.update(
PyNNEngine.environment_vars)
PyNNNRNEngine.environment_vars.update(
NeuronEngine.environment_vars)
inform("PATH: " + PyNNNRNEngine.path, indent=2, verbosity =1)
inform("Env vars: %s" % PyNNNRNEngine.environment_vars, indent=2, verbosity =1)
pynn_loc = sp.check_output(['python -c "import pyNN,os; print(os.path.dirname(pyNN.__file__))"'], shell=True,stderr=sp.STDOUT).strip()
pynn_mod_dir = '%s/neuron/nmodl/'%pynn_loc
inform("Attempting to compile PyNN mod files for standard models in %s..."%pynn_mod_dir, indent=2, verbosity =1)
print(check_output(['ls', pynn_mod_dir], cwd=pynn_mod_dir))
environment_vars, path = NeuronEngine.get_nrn_environment()
inform("Using NEURON with env %s at %s..."%(environment_vars, path), indent=2, verbosity =1)
print(check_output([environment_vars['NEURON_HOME']+'/bin/nrnivmodl'], cwd=pynn_mod_dir))
def install(version):
if not PyNeuroMLEngine.is_installed(None):
PyNeuroMLEngine.install(None)
inform("%s installed PyNeuroML..." % PyNNNeuroMLEngine.name,
indent=2,
verbosity=1)
if not PyNNEngine.is_installed(None):
PyNNEngine.install(None)
inform("%s installed PyNN..." % PyNNNeuroMLEngine.name,
indent=2,
verbosity=1)
def is_installed(version):
if is_verbose():
inform("Checking whether %s is installed..." %
PyNNBrian1Engine.name,
indent=1)
return PyNNEngine.is_installed(None) and Brian1Engine.is_installed(
None)
def install(version):
if not Brian1Engine.is_installed(None):
Brian1Engine.install(version) # interpret version as version of Brian!
inform("%s installed Brian..." % PyNNBrian1Engine.name, indent=2, verbosity =1)
if not PyNNEngine.is_installed(None):
PyNNEngine.install(None)
inform("%s installed PyNN..." % PyNNBrian1Engine.name, indent=2, verbosity =1)
PyNNBrian1Engine.path = PyNNEngine.path + \
":" + Brian1Engine.path
PyNNBrian1Engine.environment_vars = {}
PyNNBrian1Engine.environment_vars.update(
PyNNEngine.environment_vars)
PyNNBrian1Engine.environment_vars.update(
Brian1Engine.environment_vars)
inform("PATH: " + PyNNBrian1Engine.path)
def is_installed(version):
if is_verbose():
inform("Checking whether %s is installed correctly..." %
PyNNNRNEngine.name, indent=1)
installed = PyNNEngine.is_installed(None) and NeuronEngine.is_installed(None)
return installed
def install(version):
if not Brian1Engine.is_installed(None):
Brian1Engine.install(None)
inform("%s installed Brian..." % PyNNBrian1Engine.name,
indent=2,
verbosity=1)
if not PyNNEngine.is_installed(None):
PyNNEngine.install(None)
inform("%s installed PyNN..." % PyNNBrian1Engine.name,
indent=2,
verbosity=1)
PyNNBrian1Engine.path = PyNNEngine.path + \
":" + Brian1Engine.path
PyNNBrian1Engine.environment_vars = {}
PyNNBrian1Engine.environment_vars.update(PyNNEngine.environment_vars)
PyNNBrian1Engine.environment_vars.update(Brian1Engine.environment_vars)
inform("PATH: " + PyNNBrian1Engine.path)
def is_installed(version):
if is_verbose():
inform("Checking whether %s is installed correctly..." %
PyNNNRNEngine.name,
indent=1)
installed = PyNNEngine.is_installed(
None) and NeuronEngine.is_installed(None)
return installed
def install(version):
if not NeuronEngine.is_installed(None):
NeuronEngine.install(None)
inform("%s installed NEURON..." % PyNNNRNEngine.name,
indent=2,
verbosity=1)
if not PyNNEngine.is_installed(None):
PyNNEngine.install(None)
inform("%s installed PyNN..." % PyNNNRNEngine.name,
indent=2,
verbosity=1)
PyNNNRNEngine.path = PyNNEngine.path + \
":" + NeuronEngine.path
PyNNNRNEngine.environment_vars = {}
PyNNNRNEngine.environment_vars.update(PyNNEngine.environment_vars)
PyNNNRNEngine.environment_vars.update(NeuronEngine.environment_vars)
inform("PATH: " + PyNNNRNEngine.path, indent=2, verbosity=1)
inform("Env vars: %s" % PyNNNRNEngine.environment_vars,
indent=2,
verbosity=1)
import pyNN
pynn_mod_dir = os.path.dirname(pyNN.__file__) + '/neuron/nmodl/'
inform(
"Attempting to compile PyNN mod files for standard models in %s..."
% pynn_mod_dir,
indent=2,
verbosity=1)
print(check_output(['ls', pynn_mod_dir], cwd=pynn_mod_dir))
environment_vars, path = NeuronEngine.get_nrn_environment()
inform("Using NEURON with env %s at %s..." % (environment_vars, path),
indent=2,
verbosity=1)
print(
check_output([environment_vars['NEURON_HOME'] + '/bin/nrnivmodl'],
cwd=pynn_mod_dir))
def is_installed(version):
if is_verbose():
inform("Checking whether %s is installed..." %
PyNNNestEngine.name, indent=1)
return PyNNEngine.is_installed(None) and PyNestEngine.is_installed(None)