Python JNeuroMLEngine.install Examples

Example #1

File: jneuromlnetpyne.py Project: Neurosim-lab/osb-model-validation

    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)

Example #2

File: jneuromlnrn.py Project: sanjayankur31/osb-model-validation

    def install(version):

        if not JNeuroMLEngine.is_installed(None):
            JNeuroMLEngine.install(None)
        if not NeuronEngine.is_installed(None):
            NeuronEngine.install(None)

        JNeuroMLNRNEngine.get_jnmlnrnenv()

Example #3

 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)

Example #4

File: jneuromlvalidate.py Project: OpenSourceBrain/osb-model-validation

 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)

Example #5

File: jneuromlmoose.py Project: OpenSourceBrain/osb-model-validation

    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)

Example #6

    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)

Example #7

File: jneuromlnrn.py Project: Neurosim-lab/osb-model-validation

    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)

Example #8

File: jneuromlnetpyne.py Project: OpenSourceBrain/osb-model-validation

    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)

Example #9

File: jneuromlnrn.py Project: OpenSourceBrain/osb-model-validation

    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)