def install(version):
     
     if not JNeuroMLEngine.is_installed(None):
         JNeuroMLEngine.install(None)
 
     JNeuroMLValidateV1Engine.path = JNeuroMLEngine.path
     JNeuroMLValidateV1Engine.environment_vars = {}
     JNeuroMLValidateV1Engine.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 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)
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    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 + \
            ":" + BrianEngine.path
        JNeuroMLBrianEngine.environment_vars = {}
        JNeuroMLBrianEngine.environment_vars.update(
            JNeuroMLEngine.environment_vars)
        JNeuroMLBrianEngine.environment_vars.update(
            BrianEngine.environment_vars)
        inform("PATH: " + JNeuroMLBrianEngine.path)
        inform("Env vars: %s" % JNeuroMLBrianEngine.environment_vars)
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    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)
        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..." % JNeuroMLPyNNNRNEngine.name, indent=2, verbosity =1)
        if not PyNNNRNEngine.is_installed(None):
            PyNNNRNEngine.install(None)
            inform("%s installed PyNN & NRN..." % JNeuroMLPyNNNRNEngine.name, indent=2, verbosity =1)
            
        environment_vars_nrn, path_nrn = NeuronEngine.get_nrn_environment()

        JNeuroMLPyNNNRNEngine.path = JNeuroMLEngine.path+":"+path_nrn
        JNeuroMLPyNNNRNEngine.environment_vars = {}
        JNeuroMLPyNNNRNEngine.environment_vars.update(JNeuroMLEngine.environment_vars)
        JNeuroMLPyNNNRNEngine.environment_vars.update(PyNNEngine.environment_vars)
        JNeuroMLPyNNNRNEngine.environment_vars.update(environment_vars_nrn)
        inform("PATH: " + JNeuroMLPyNNNRNEngine.path)
        inform("Env vars: %s" % JNeuroMLPyNNNRNEngine.environment_vars)
    def install(version):

        if not JNeuroMLEngine.is_installed(None):
            JNeuroMLEngine.install(None)
            inform("%s installed JNeuroML..." % JNeuroMLPyNNNRNEngine.name,
                   indent=2,
                   verbosity=1)
        if not PyNNNRNEngine.is_installed(None):
            PyNNNRNEngine.install(None)
            inform("%s installed PyNN & NRN..." % JNeuroMLPyNNNRNEngine.name,
                   indent=2,
                   verbosity=1)

        environment_vars_nrn, path_nrn = NeuronEngine.get_nrn_environment()

        JNeuroMLPyNNNRNEngine.path = JNeuroMLEngine.path + ":" + path_nrn
        JNeuroMLPyNNNRNEngine.environment_vars = {}
        JNeuroMLPyNNNRNEngine.environment_vars.update(
            JNeuroMLEngine.environment_vars)
        JNeuroMLPyNNNRNEngine.environment_vars.update(
            PyNNEngine.environment_vars)
        JNeuroMLPyNNNRNEngine.environment_vars.update(environment_vars_nrn)
        inform("PATH: " + JNeuroMLPyNNNRNEngine.path)
        inform("Env vars: %s" % JNeuroMLPyNNNRNEngine.environment_vars)
 def is_installed(version):
     if is_verbose():
         inform("Checking whether %s is installed..." %
            JNeuroMLNRNEngine.name, indent=1)
     return JNeuroMLEngine.is_installed(None) and NeuronEngine.is_installed(None)
 def is_installed(version):
     return JNeuroMLEngine.is_installed(None)
 def is_installed(version):
     return JNeuroMLEngine.is_installed(None)
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 def is_installed(version):
     inform("Checking whether %s is installed..." %
            JNeuroMLBrianEngine.name,
            indent=1)
     return JNeuroMLEngine.is_installed(None) and Brian1Engine.is_installed(
         None)
 def is_installed(version):
     inform("Checking whether %s is installed..." %
            JNeuroMLBrianEngine.name, indent=1)
     return JNeuroMLEngine.is_installed(None) and Brian1Engine.is_installed(None)