def compile_modfiles(cls, modelpath):
with working_dir(dirname(modelpath)):
out = 0
if len(glob('*.mod')) > 0:
environment_vars, path = NeuronEngine.get_nrn_environment()
inform('Compiling all mod files in directory: %s' %
dirname(modelpath),
indent=1)
out = check_output([path + '/nrnivmodl'])
inform(out, indent=2)
elif len(glob('modfiles/*.mod')) > 0:
environment_vars, path = NeuronEngine.get_nrn_environment()
mod_file_path = dirname(modelpath) + "/modfiles"
inform('Compiling all mod files in directory: %s' %
mod_file_path,
indent=1)
out = check_output([path + '/nrnivmodl', 'modfiles'])
inform(out, indent=2)
elif len(glob('mod_files/*.mod')) > 0:
environment_vars, path = NeuronEngine.get_nrn_environment()
mod_file_path = dirname(modelpath) + "/mod_files"
inform('Compiling all mod files in directory: %s' %
mod_file_path,
indent=1)
out = check_output([path + '/nrnivmodl', 'mod_files'])
inform(out, indent=2)
return out
def install_netpyne():
install_root = os.environ['HOME']
install_dir = 'netpyneInstall'
path = os.path.join(install_root, install_dir)
if not os.path.isdir(path):
with working_dir(install_root):
print(
check_output([
'git', 'clone',
'https://github.com/Neurosim-lab/netpyne.git', install_dir
]))
with working_dir(path):
print(check_output(['git', 'checkout', 'neuroml_updates']))
print(check_output(['pwd']))
with working_dir(path):
if sys.version_info.major == 2:
#pip_install([]'setuptools==42.0.1')
pip_install([
'kiwisolver==1.0.1', 'matplotlib==2.2.4', 'pandas==0.23.4',
'bokeh==1.4.0', 'Pillow==5.4.1', 'matplotlib-scalebar==0.5.1',
'scipy==1.2.2', 'python-dateutil==2.8.0'
])
print(check_output([sys.executable, 'setup.py', 'install']))
m = 'Successfully installed NetPyNE...'
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 is_installed(version):
ret = True
if is_verbose():
inform("Checking whether %s is installed..." % NeuronEngine.name,
indent=1)
try:
output = check_output(['nrniv', '--version'], verbosity=2)
if is_verbose():
inform('%s is installed' % output.strip(), indent=2)
ret = 'v%s' % output.split()[3]
except OSError:
try:
environment_vars, path = NeuronEngine.get_nrn_environment()
inform('Testing NEURON with env: %s and path: %s' %
(environment_vars, path),
indent=2)
output = check_output([path + '/nrniv', '--version'])
if is_verbose():
inform('%s was already installed (by OMV..?)' %
output.strip(),
indent=2)
ret = 'v%s' % output.split()[3]
except OSError:
inform('NEURON not currently installed', indent=2)
ret = False
return ret
def run(self):
try:
inform("Running file %s with %s" % (trim_path(self.modelpath), JNeuroMLBrianEngine.name), indent=1)
self.stdout = check_output(['jnml' if os.name != 'nt' else 'jnml.bat', self.modelpath, '-brian'], cwd=os.path.dirname(self.modelpath))
self.stdout += check_output(['python', self.modelpath.replace('.xml', '_brian.py'), '-nogui'], cwd=os.path.dirname(self.modelpath))
inform("Success with running ", JNeuroMLBrianEngine.name, indent=1)
self.returncode = 0
except sp.CalledProcessError as err:
inform("Error with ", JNeuroMLBrianEngine.name, indent=1)
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
def run(self):
try:
inform("Running file %s with %s" % (trim_path(self.modelpath), JNeuroMLMooseEngine.name), indent=1)
self.stdout = check_output(['jnml' if os.name != 'nt' else 'jnml.bat', self.modelpath, '-moose'], cwd=os.path.dirname(self.modelpath))
self.stdout += check_output(['python', self.modelpath.replace('.xml', '_moose.py'), '-nogui'], cwd=os.path.dirname(self.modelpath))
inform("Success with running ", JNeuroMLMooseEngine.name, indent=1)
self.returncode = 0
except sp.CalledProcessError as err:
inform("Error with ", JNeuroMLMooseEngine.name, indent=1)
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
def install_pylems():
install_root = os.environ['HOME']
with working_dir(install_root):
check_output(['git', 'clone', 'https://github.com/LEMS/pylems.git'])
inform('Successfully cloned PyLEMS', indent=2, verbosity=1)
path = os.path.join(install_root,'pylems')
with working_dir(path):
check_output(['python', 'setup.py', 'install'])
inform('Successfully installed PyLEMS', indent=2, verbosity=1)
def install_pylems():
install_root = os.environ['HOME']
with working_dir(install_root):
check_output(['git', 'clone', 'https://github.com/LEMS/pylems.git'])
inform('Successfully cloned PyLEMS', indent=2, verbosity=1)
path = os.path.join(install_root, 'pylems')
with working_dir(path):
check_output(['python', 'setup.py', 'install'])
inform('Successfully installed PyLEMS', indent=2, verbosity=1)
def install_netpyne():
install_root = os.environ['HOME']
with working_dir(install_root):
print(check_output(['git', 'clone', 'https://github.com/Neurosim-lab/netpyne.git', 'netpyneInstall']))
path = os.path.join(install_root,'netpyneInstall')
with working_dir(path):
print(check_output(['git', 'checkout', 'neuroml_updates']))
print(check_output(['pwd']))
print(check_output(['python', 'setup.py', 'install']))
m = 'Successfully installed NetPyNE...'
def is_installed(version):
ret = True
environment_vars = NestEngine.get_nest_environment()
try:
FNULL = open(os.devnull, 'w')
check_output([environment_vars['NEST_HOME'] + 'bin/nest', '-v'],
verbosity=is_verbose())
except OSError as err:
inform("Couldn't execute NEST: ", err, indent=1)
ret = False
return ret
def is_installed(version):
PyNestEngine.environment_vars = NestEngine.get_nest_environment()
ret = True
try:
ret_str = check_output(['python -c "import nest; print(nest.version())"'], shell=True, verbosity=2)
ret = len(ret_str) > 0
if ret:
ret = 'v%s'%ret_str.split('Version')[-1].split()[0]
if ret and is_verbose():
inform("%s is correctly installed..." % (PyNestEngine.name), indent=2)
if is_verbose():
inform("NEST is installed with Python support...", indent=2)
inform("Env vars: %s" % PyNestEngine.environment_vars, indent=2)
except Exception as err:
inform("Couldn't import NEST into Python: ", err, indent=1)
inform("NEST env vars: %s" % PyNestEngine.environment_vars, indent=1)
ret = False
return ret
def run(self):
np = 2
try:
inform("Running file %s with %s" %
(trim_path(self.modelpath), JNeuroMLNetPyNEEngine.name),
indent=1)
from omv.engines.jneuroml import JNeuroMLEngine
jnml = JNeuroMLEngine.get_executable()
self.stdout = check_output([
jnml, self.modelpath, '-netpyne', '-nogui', '-run', '-np',
'%s' % np
],
cwd=os.path.dirname(self.modelpath),
env=JNeuroMLEngine.get_environment())
inform("Success with running ",
JNeuroMLNetPyNEEngine.name,
indent=1)
self.returncode = 0
except sp.CalledProcessError as err:
inform("Error with ", JNeuroMLNetPyNEEngine.name, indent=1)
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
def run(self):
try:
self.stdout = PyNRNEngine.compile_modfiles(self.modelpath)
except sp.CalledProcessError as err:
self.stderr = err.output
self.returncode = err.returncode
inform('Error compiling modfiles:', self.stderr, indent=2)
try:
inform("Running file %s with %s" %
(trim_path(self.modelpath), self.name),
indent=1)
self.stdout = check_output([
'mpiexec', '-np', '2', 'nrniv', '-mpi', self.modelpath,
'-nogui'
],
cwd=os.path.dirname(self.modelpath))
self.returncode = 0
except sp.CalledProcessError as err:
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
except Exception as err:
inform("Another error with running %s: " % self.name,
err,
indent=1)
self.returncode = -1
self.stdout = "???"
def is_installed(version):
PyNestEngine.environment_vars = NestEngine.get_nest_environment()
ret = True
try:
ret_str = check_output(
['python -c "import nest; print(nest.version())"'], shell=True)
ret = len(ret_str) > 0
if ret and is_verbose():
inform("%s is correctly installed..." % (PyNestEngine.name),
indent=2)
if is_verbose():
inform("NEST is installed with Python support...", indent=2)
inform("Env vars: %s" % PyNestEngine.environment_vars,
indent=2)
except Exception as err:
inform("Couldn't import NEST into Python: ", err, indent=1)
inform("NEST env vars: %s" % PyNestEngine.environment_vars,
indent=1)
ret = False
return ret
def run(self):
try:
inform("Running file %s with %s" % (trim_path(self.modelpath), JNeuroMLBrianEngine.name), indent=1)
from omv.engines.jneuroml import JNeuroMLEngine
jnml = JNeuroMLEngine.get_executable()
self.stdout = check_output([jnml, self.modelpath, '-brian'], cwd=os.path.dirname(self.modelpath),env=JNeuroMLEngine.get_environment())
self.stdout += check_output(['python', self.modelpath.replace('.xml', '_brian.py'), '-nogui'], cwd=os.path.dirname(self.modelpath))
inform("Success with running ", JNeuroMLBrianEngine.name, indent=1)
self.returncode = 0
except sp.CalledProcessError as err:
inform("Error with ", JNeuroMLBrianEngine.name, indent=1)
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
def install_pynn():
try:
print(check_output(['pip', 'install', 'lazyarray'])) # This should ideally be automatically installed with PyNN...
print(check_output(['pip', 'install', 'neo==0.5.1'])) # This should ideally be automatically installed with PyNN...
install_root = os.environ['HOME']
pyNN_src = 'PyNN_src'
with working_dir(install_root):
check_output(['git', 'clone', 'https://github.com/NeuralEnsemble/PyNN.git', pyNN_src])
path = os.path.join(install_root, pyNN_src)
with working_dir(path):
print(check_output(['git','checkout','neuroml'])) # neuroml branch has the latest NML2 import/export code!
#check_output(['git','checkout','master'])
print(check_output(['python', 'setup.py', 'install']))
print(check_output(['pwd']))
print("Finished attempting to install PyNN")
#import pyNN
m = 'Successfully installed pyNN...'
except Exception as e:
m = 'ERROR during install_pynn: %s'%e
finally:
inform(m)
def is_installed(version):
ret = True
try:
ret_str = check_output(['lems', '-h'], verbosity=1)
ret = 'v%s'%ret_str.split('-jar')[-1].split()[0].split('-')[1][:-4]
except OSError as err:
inform("Couldn't execute lems:", err, indent=1)
ret = False
return ret
def is_installed(version):
ret = True
try:
print(check_output(['octave', '-v']))
except OSError as err:
inform("Couldn't execute Octave!", err, indent=1)
ret = False
return ret
def is_installed(version):
ret = True
try:
ret_str = check_output(['lems', '-h'], verbosity=1)
ret = 'v%s' % ret_str.split('-jar')[-1].split()[0].split(
'-')[1][:-4]
except OSError as err:
inform("Couldn't execute lems:", err, indent=1)
ret = False
return ret
def is_installed(cls, version):
ret = True
try:
output = check_output(['nrniv', '--version'])
if is_verbose():
inform('%s was already installed locally'%output.strip(), indent=2)
except OSError:
try:
environment_vars, path = NeuronEngine.get_nrn_environment()
inform('Testing NEURON with env: %s and path: %s'%(environment_vars, path), indent=2)
output = check_output([path+'/nrniv', '--version'])
if is_verbose():
inform('%s was already installed (by OMV..?)'%output.strip(), indent=2)
except OSError:
inform('NEURON not currently installed', indent=2)
ret = False
return ret
def install_pynml():
try:
print(check_output(['pip', 'install', 'pyneuroml']))
import neuroml
import pyneuroml
m = 'Successfully installed pyNeuroML...'
except Exception as e:
m = 'ERROR installing pyNeuroML: ' + str(e)
finally:
inform(m, indent=2)
def is_installed(version):
ret = True
try:
ret_str = check_output(['octave', '-v'], verbosity=1)
ret = 'v%s' % str(ret_str).split()[3]
except OSError as err:
inform("Couldn't execute Octave!", err, indent=1)
ret = False
return ret
def is_installed(version):
ret = True
try:
if is_verbose():
inform("Checking whether %s is installed..." %
JNeuroMLEngine.name, indent=1)
FNULL = open(os.devnull, 'w')
r = check_output(['jnml' if os.name != 'nt' else 'jnml.bat', '-v'], verbosity=2)
ret = '%s'%r.split()[1]
except OSError:
ret = False
return ret
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 run(self):
try:
inform("Running file %s with %s" % (trim_path(self.modelpath), JNeuroMLPyNNNRNEngine.name), indent=1)
self.stdout = check_output(
['jnml' if os.name != 'nt' else 'jnml.bat', self.modelpath, '-pynn', '-run-neuron'],
cwd=os.path.dirname(self.modelpath))
inform("Success with running ",
JNeuroMLPyNNNRNEngine.name, indent=1)
self.returncode = 0
except sp.CalledProcessError as err:
inform("Error with ", JNeuroMLPyNNNRNEngine.name, indent=1)
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
def install_brian2(version):
if not version:
version='2.2.2.1'
try:
check_scipy_dev()
# Tested with v2.2.2.1
print(check_output(['pip', 'install', 'brian2==%s'%version]))
import brian2
m = 'Successfully installed Brian2...'
except Exception as e:
m = 'ERROR installing Brian2: ' + str(e)
finally:
print(m)
def run(self):
try:
inform("Running file %s with %s" % (trim_path(self.modelpath), self.name), indent=1)
self.stdout = check_output(['python', self.modelpath, '-nogui'],
cwd=os.path.dirname(self.modelpath))
self.returncode = 0
except sp.CalledProcessError as err:
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
except Exception as err:
inform("Another error with running %s: "%self.name, err, indent=1)
self.returncode = -1
self.stdout = "???"
def is_installed(version):
ret = True
environment_vars = NestEngine.get_nest_environment()
try:
FNULL = open(os.devnull, 'w')
r = check_output([environment_vars['NEST_HOME']+'bin/nest', '-v'], verbosity=2)
ret = 'v%s'%r.split('version')[1].split()[0][:-1]
except OSError as err:
inform("Couldn't execute NEST: ", err, indent=1)
ret = False
return ret
def run(self):
try:
inform("Running file %s with %s" %
(trim_path(self.modelpath), self.name),
indent=1)
self.stdout = check_output([
'pynml' if os.name != 'nt' else 'pynml.bat', self.modelpath,
'-nogui'
],
cwd=os.path.dirname(self.modelpath))
self.returncode = 0
except sp.CalledProcessError as err:
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
def run(self):
self.environment_vars = NestEngine.get_nest_environment()
self.set_environment()
try:
inform("Running file %s with %s" % (trim_path(self.modelpath), self.name), indent=1)
self.stdout = check_output([self.environment_vars['NEST_HOME']+'bin/nest', self.modelpath],
cwd=os.path.dirname(self.modelpath))
self.returncode = 0
except sp.CalledProcessError as err:
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
except Exception as err:
inform("Another error with running %s: "%self.name, err, indent=1)
self.returncode = -1
self.stdout = "???"
def run(self):
self.environment_vars = NestEngine.get_nest_environment()
self.set_environment()
try:
inform("Running file %s with %s" % (trim_path(self.modelpath), self.name), indent=1)
self.stdout = check_output([self.environment_vars['NEST_HOME']+'bin/nest', self.modelpath],
cwd=os.path.dirname(self.modelpath))
self.returncode = 0
except sp.CalledProcessError as err:
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
except Exception as err:
inform("Another error with running %s: "%self.name, err, indent=1)
self.returncode = -1
self.stdout = "???"
def is_installed(version):
ret = True
environment_vars = NestEngine.get_nest_environment()
try:
FNULL = open(os.devnull, 'w')
r = check_output([environment_vars['NEST_HOME']+'bin/nest', '-v'], verbosity=2)
ret = '%s'%r.split('version')[1].split()[0][:-1]
if '-' in ret:
ret = 'v%s'%ret.split('-')[-1]
inform("NEST %s is correctly installed..." % ret, indent=2, verbosity=1)
except OSError as err:
inform("Couldn't execute NEST: ", err, indent=1)
ret = False
return ret
def run(self):
try:
inform("Running file %s with %s" %
(trim_path(self.modelpath), JNeuroMLPyNNNRNEngine.name),
indent=1)
self.stdout = check_output([
'jnml' if os.name != 'nt' else 'jnml.bat', self.modelpath,
'-pynn', '-run-neuron'
],
cwd=os.path.dirname(self.modelpath))
inform("Success with running ",
JNeuroMLPyNNNRNEngine.name,
indent=1)
self.returncode = 0
except sp.CalledProcessError as err:
inform("Error with ", JNeuroMLPyNNNRNEngine.name, indent=1)
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
def install_brian():
install_root = os.environ['HOME']
with working_dir(install_root):
check_output(['git', 'clone', 'https://github.com/brian-team/brian.git'])
inform('Successfully cloned Brian', indent=2, verbosity=1)
path = os.path.join(install_root,'brian')
with working_dir(path):
check_output(['git','checkout','master'])
check_output(['python', 'setup.py', 'install'])
inform('Successfully installed Brian', indent=2, verbosity=1)
def is_installed(version):
ret = True
try:
if is_verbose():
inform("Checking whether %s is installed..." %
JNeuroMLEngine.name,
indent=1)
FNULL = open(os.devnull, 'w')
jnml = JNeuroMLEngine.get_executable()
r = check_output([jnml, '-v'],
verbosity=2,
env=JNeuroMLEngine.get_environment())
ret = '%s' % r.split()[1]
if is_verbose():
inform("%s %s is installed..." % (JNeuroMLEngine.name, ret),
indent=2)
except OSError as err:
inform("Couldn't execute/import jNeuroML: ", err, indent=1)
ret = False
return ret
def install_moose():
install_root = os.environ['HOME']
with working_dir(install_root):
print(check_output(['git', 'clone', 'https://github.com/pgleeson/moose-core.git']))
with working_dir(os.path.join(install_root,'moose-core')):
print(check_output(['mkdir', 'build_']))
with working_dir(os.path.join(install_root,'moose-core/build_')):
print(check_output(['cmake', '..']))
print(check_output(['make']))
print(check_output(['make', 'install']))
with working_dir(os.path.join(install_root,'moose-core/build_/python')):
print(check_output(['pwd']))
print(check_output(['python', 'setup.py', 'install']))
m = 'Successfully installed Moose...'
def is_installed(version):
PyNestEngine.environment_vars = NestEngine.get_nest_environment()
ret = True
try:
ret_str = check_output(
['python -c "import nest; print(nest.version())"'],
shell=True,
verbosity=2)
ret = len(ret_str) > 0
if ret:
ret_str = ret_str.strip().split('\n')[-1]
#print('NEST info: %s; <<%s>>'%(ret, ret_str))
if 'Version' in ret_str:
ret = 'v%s' % ret_str.split('Version')[-1].split()[0]
elif '-' in ret_str:
ret = 'v%s' % ret_str.split('-')[-1].split()[0]
else:
ret = 'v%s' % ret_str.split()[-1]
if ret and is_verbose():
inform("%s is correctly installed..." % (PyNestEngine.name),
indent=2)
if is_verbose():
inform("NEST is installed with Python support...", indent=2)
inform("Env vars: %s" % PyNestEngine.environment_vars,
indent=2)
except Exception as err:
inform("Couldn't import NEST into Python: ", err, indent=1)
inform("NEST env vars: %s" % PyNestEngine.environment_vars,
indent=1)
ret = False
return ret
def run(self):
try:
self.stdout = PyNRNEngine.compile_modfiles(self.modelpath)
except sp.CalledProcessError as err:
self.stderr = err.output
self.returncode = err.returncode
inform('Error compiling modfiles:', self.stderr, indent=2)
try:
inform("Running file %s with %s" % (trim_path(self.modelpath), self.name), indent=1)
self.stdout = check_output(['mpiexec','-np','4','nrniv','-mpi', self.modelpath, '-nogui'],
cwd=os.path.dirname(self.modelpath))
self.returncode = 0
except sp.CalledProcessError as err:
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
except Exception as err:
inform("Another error with running %s: "%self.name, err, indent=1)
self.returncode = -1
self.stdout = "???"
def run_using_jnmlnrn_env(engine, modelpath, args):
try:
env = JNeuroMLNRNEngine.get_jnmlnrnenv()
inform("Running file %s with %s, env: %s" %
(trim_path(modelpath), engine, env),
indent=1)
from omv.engines.jneuroml import JNeuroMLEngine
jnml = JNeuroMLEngine.get_executable()
cmds = [jnml, modelpath]
cmds.extend(args)
stdout = check_output(cmds,
cwd=os.path.dirname(modelpath),
env=env)
inform("Success with running ", engine, indent=1)
returncode = 0
return stdout, returncode
except sp.CalledProcessError as err:
inform("Error with ", engine, indent=1)
returncode = err.returncode
stdout = err.output
return stdout, returncode
def install_moose():
install_root = os.environ['HOME']
with working_dir(install_root):
print(
check_output(
['git', 'clone',
'https://github.com/pgleeson/moose-core.git']))
with working_dir(os.path.join(install_root, 'moose-core')):
print(check_output(['mkdir', 'build_']))
with working_dir(os.path.join(install_root, 'moose-core/build_')):
print(check_output(['cmake', '..']))
print(check_output(['make', '-j4']))
print(check_output(['make', 'install']))
with working_dir(os.path.join(install_root, 'moose-core/build_/python')):
print(check_output(['pwd']))
print(check_output(['python', 'setup.py', 'install']))
m = 'Successfully installed Moose...'
def run(self):
try:
path_s = resolve_paths(self.modelpath)
from omv.engines.jneuroml import JNeuroMLEngine
jnml = JNeuroMLEngine.get_executable()
cmds = [jnml, '-validate']
for p in path_s: cmds.append(p)
inform("Running with %s, using %s..." % (JNeuroMLValidateEngine.name,
cmds),
indent=1)
self.stdout = check_output(cmds,
cwd=os.path.dirname(self.modelpath),
env=JNeuroMLEngine.get_environment())
inform("Success with running ", JNeuroMLValidateEngine.name,
indent=1, verbosity=1)
self.returncode = 0
except sp.CalledProcessError as err:
inform("Error with ", JNeuroMLValidateEngine.name,
indent=1, verbosity=1)
self.returncode = err.returncode
self.stdout = err.output
raise EngineExecutionError
def install_pynn():
try:
pip.main(['install', 'lazyarray']) # This should ideally be automatically installed with PyNN...
pip.main(['install', 'neo==0.5.1']) # This should ideally be automatically installed with PyNN...
install_root = os.environ['HOME']
with working_dir(install_root):
check_output(['git', 'clone', 'https://github.com/NeuralEnsemble/PyNN.git'])
path = os.path.join(install_root,'PyNN')
with working_dir(path):
check_output(['git','checkout','tags/0.9.2'])
#check_output(['git','checkout','master'])
check_output(['python', 'setup.py', 'install'])
import pyNN
m = 'Successfully installed pyNN...'
except Exception as e:
m = 'ERROR installing pyNN: ' + str(e)
finally:
inform(m)
def install_nest(version):
if not version:
version='2.12.0'
inform('Installing NEST', indent=2, verbosity=1)
nestpath = os.path.join(os.environ['HOME'],'nest')
nestpath2 = os.path.join(os.environ['HOME'],'nest/nest')
nestinstallpath = os.path.join(os.environ['HOME'],'nest/nest')
if 'NEST_INSTALL_DIR' in os.environ:
nestinstallpath = os.environ['NEST_INSTALL_DIR']+'/'
inform('Installing NEST (src: %s), (tgt: %s)'%(nestpath, nestinstallpath), indent=2, verbosity=1)
os.mkdir(nestpath)
with working_dir(nestpath):
#version='2.10.0'
check_output(['wget', 'https://github.com/nest/nest-simulator/archive/v%s.tar.gz'%(version)])
check_output(['tar', 'xzvf', 'v%s.tar.gz'%version])
check_output(['mv', 'nest-simulator-%s'%version, 'nest'], cwd=nestpath)
with working_dir(nestpath2):
check_output(["cmake", "-DCMAKE_INSTALL_PREFIX:PATH=%s"%(nestinstallpath)])
check_output(['make'])
check_output(['make', 'install'])
def install_nest(version):
if not version:
version='2.18.0'
inform('Installing NEST', indent=2, verbosity=1)
nestpath = os.path.join(os.environ['HOME'],'nest')
nestpath2 = os.path.join(os.environ['HOME'],'nest/nest')
nestinstallpath = os.path.join(os.environ['HOME'],'nest/nest')
if 'NEST_INSTALL_DIR' in os.environ:
nestinstallpath = os.environ['NEST_INSTALL_DIR']+'/'
inform('Installing NEST (src: %s), (tgt: %s)'%(nestpath, nestinstallpath), indent=2, verbosity=1)
os.mkdir(nestpath)
with working_dir(nestpath):
#version='2.10.0'
check_output(['wget', 'https://github.com/nest/nest-simulator/archive/v%s.tar.gz'%(version)])
check_output(['tar', 'xzvf', 'v%s.tar.gz'%version])
check_output(['mv', 'nest-simulator-%s'%version, 'nest'], cwd=nestpath)
with working_dir(nestpath2):
check_output(["cmake", "-DCMAKE_INSTALL_PREFIX:PATH=%s"%(nestinstallpath)])
check_output(['make','-j4'])
check_output(['make', 'install'])
def install_octave():
inform('Installing Octave', indent=2, verbosity=1)
check_output(['apt-get', 'install', 'octave'])
