Example #1
0
    def prepare_sim_bundle(cls, sim):

        simstring = cPickle.dumps(sim)
        simmd5sum = StrUtils.get_hash_md5(simstring)

        simloc = LocMgr.get_simulation_tmp_dir() + simmd5sum[0:2]
        simloc = LocMgr.ensure_dir_exists(simloc)
        simfilename = Join(simloc, simmd5sum + cls.simsuffix)

        FileIO.write_to_file(txt=simstring, filename=simfilename)

        bundle = SimMetaDataBundle(sim)
        return bundle
Example #2
0
    def prepare_sim_bundle(cls, sim):

        simstring = cPickle.dumps(sim)
        simmd5sum = StrUtils.get_hash_md5(simstring)

        simloc = LocMgr.get_simulation_tmp_dir() + simmd5sum[0:2]
        simloc = LocMgr.ensure_dir_exists(simloc)
        simfilename = Join(simloc, simmd5sum + cls.simsuffix)

        FileIO.write_to_file(txt=simstring, filename=simfilename)

        bundle = SimMetaDataBundle(sim)
        return bundle
Example #3
0
    def _write_to_file(self, bundlefilename=None):
        bundleloc = LocMgr.get_simulation_tmp_dir()
        bundlesuffix = '.bundle'

        if bundlefilename is None:
            bundle_dir = bundleloc + '/' + self.get_sim_md5sum()[0:2] + '/'
            bundle_dir = LocMgr.ensure_dir_exists(bundle_dir)
            bundle_fname = self.get_sim_md5sum() + bundlesuffix
            bundlefilename = os.path.join(bundle_dir, bundle_fname)

        FileIO.write_to_file(txt=cPickle.dumps(self), filename=bundlefilename)
        # print 'bundlefilename', bundlefilename
        return bundlefilename
Example #4
0
    def _write_to_file(self, bundlefilename=None):
        bundleloc = LocMgr.get_simulation_tmp_dir()
        bundlesuffix = '.bundle'

        if bundlefilename is None:
            bundle_dir = bundleloc + '/' + self.get_sim_md5sum()[0:2] + '/'
            bundle_dir = LocMgr.ensure_dir_exists(bundle_dir)
            bundle_fname = self.get_sim_md5sum() + bundlesuffix
            bundlefilename = os.path.join(bundle_dir, bundle_fname)

        FileIO.write_to_file(txt=cPickle.dumps(self),
                             filename=bundlefilename)
        # print 'bundlefilename', bundlefilename
        return bundlefilename
Example #5
0
    def build_modfile(cls, modfile):
        output_filename = modfile.get_built_filename_full(ensure_built=False)

        if not os.path.exists(output_filename):
            LogMgr.info("Does not exist: building: %s" % output_filename)

            mod_txt_filename = FileIO.write_to_file(modfile.modtxt, suffix=".mod")
            ModFileCompiler.check_modfile_units(mod_txt_filename)
            mod_dyn_filename = _build_mod_file(mod_txt_filename, modfile=modfile)
            shutil.move(mod_dyn_filename, output_filename)
        else:

            LogMgr.info("Already Built")
        return output_filename
Example #6
0
    def build_modfile(cls, modfile):
        output_filename = modfile.get_built_filename_full(ensure_built=False)

        if not os.path.exists(output_filename):
            LogMgr.info('Does not exist: building: %s' % output_filename)

            mod_txt_filename = FileIO.write_to_file(modfile.modtxt,
                                                    suffix='.mod')
            ModFileCompiler.check_modfile_units(mod_txt_filename)
            mod_dyn_filename = _build_mod_file(mod_txt_filename,
                                               modfile=modfile)
            shutil.move(mod_dyn_filename, output_filename)
        else:

            LogMgr.info('Already Built')
        return output_filename
Example #7
0
    def _run_no_spawn(self):

        # Generate Random data:
        if False or MockControl.is_mock_simulation:
            return self.run_return_random_walks()

        def nrn(func, *args, **kwargs):
            return_value = func(*args, **kwargs)
            if return_value != 1.0:
                raise ValueError('nrn Command Failed')


        stdout = cStringIO.StringIO ()
        with redirect_stdout(stdout_stream=stdout, stderr_stream=stdout) as display_output:


            # Create the HOC and ModFiles:
            hoc_data = MHocFile()
            mod_files = MModFileSet()
            for sim_obj in self.simulation_objects:
                # print 'BUILDING HOC:', sim_obj
                sim_obj.build_hoc(hoc_data)
                # print 'BUILDING MOD:', sim_obj
                sim_obj.build_mod(mod_files)

            t_mod_build_start = time.time()
            mod_files.build_all()
            time_taken = time.time() - t_mod_build_start
            #print 'Time for Building Mod-Files: ', time_taken

            # Open Neuron:
            import neuron

            # Insert the mod-files:
            for modfile in mod_files:
                nrn(neuron.h.nrn_load_dll, modfile.get_built_filename_full())

            # Write the HOC file:
            t_sim_start = time.time()
            hoc_filename = FileIO.write_to_file(
                            str(hoc_data), 
                            suffix='.hoc')

            nrn(neuron.h.load_file, hoc_filename)
            self.hocfilename = hoc_filename

            class Event(object):

                def __init__(self):
                    self.interval = 5.0
                    self.fih = neuron.h.FInitializeHandler(0.01, self.callback)

                def callback(self):
                    #print display_output
                    #display_output.stdout_prev.write('Simulating: t=%.0f/%.0fms \r' % (neuron.h.t, float(neuron.h.tstop)))
                    #display_output.stdout_prev.flush()
                    sys.__stdout__.write('Simulating: t=%.0f/%.0fms \r' % (neuron.h.t, float(neuron.h.tstop)))
                    sys.__stdout__.flush()
                    if neuron.h.t + self.interval < neuron.h.tstop:
                        neuron.h.cvode.event(neuron.h.t + self.interval, self.callback)

            Event()
            print 'Running Simulation'
            neuron.h.run()
            assert neuron.h.t + 1 >= neuron.h.tstop



        print 'Time for Simulation: ', time.time() - t_sim_start

        # Extract the values back out:
        time_array = np.array(neuron.h.__getattribute__(NeuronSimulationConstants.TimeVectorName)) * NeuronSimulationConstants.TimeUnit

        t_trace_read_start = time.time()
        traces = []
        records = hoc_data[MHocFileData.Recordables]
        for (record_obj, hoc_details) in records.iteritems():

            data_array = np.array(neuron.h.__getattribute__(hoc_details["recVecName"])) * record_obj.get_unit()

            tr = TraceVariableDT(name=record_obj.name,
                                 comment=record_obj.get_description(),
                                 time=time_array, data=data_array,
                                 tags=record_obj.get_tags())
            traces.append(tr)
        print 'Time for Extracting Data: (%d records)' % len(records), \
            time.time() - t_trace_read_start

        self.result = SimulationResult(traces, self)
        return self.result
    def _run_no_spawn(self):

        # Generate Random data:
        # MockControl.is_mock_simulation = True
        if False or MockControl.is_mock_simulation:
            return self.run_return_random_walks()

        def nrn(func, *args, **kwargs):
            return_value = func(*args, **kwargs)
            if return_value != 1.0:
                raise ValueError("nrn Command Failed")

        stdout = cStringIO.StringIO()
        with redirect_stdout(stdout_stream=stdout, stderr_stream=stdout) as display_output:

            # Create the HOC and ModFiles:
            hoc_data = MHocFile()
            mod_files = MModFileSet()
            for sim_obj in self.simulation_objects:
                # print 'BUILDING HOC:', sim_obj
                sim_obj.build_hoc(hoc_data)
                # print 'BUILDING MOD:', sim_obj
                sim_obj.build_mod(mod_files)

            t_mod_build_start = time.time()
            mod_files.build_all()
            time_taken = time.time() - t_mod_build_start
            # print 'Time for Building Mod-Files: ', time_taken

            # Open Neuron:
            import neuron

            # Insert the mod-files:
            for modfile in mod_files:
                nrn(neuron.h.nrn_load_dll, modfile.get_built_filename_full())

            # Write the HOC file:
            t_sim_start = time.time()
            hoc_filename = FileIO.write_to_file(str(hoc_data), suffix=".hoc")

            print "Running Hoc File: %s" % hoc_filename
            nrn(neuron.h.load_file, hoc_filename)
            self.hocfilename = hoc_filename

            class UpdateEvent(object):
                def __init__(self):
                    self.interval = 5.0
                    self.fih = neuron.h.FInitializeHandler(0.01, self.callback)
                    self.starttime = datetime.datetime.now()

                def callback(self):
                    # print display_output
                    # display_output.stdout_prev.write('Simulating: t=%.0f/%.0fms \r' % (neuron.h.t, float(neuron.h.tstop)))
                    # display_output.stdout_prev.flush()
                    time_elapsed = (datetime.datetime.now() - self.starttime).seconds
                    expected_time = None
                    remaining_time = None
                    if neuron.h.t > 5:
                        expected_time = time_elapsed * (float(neuron.h.tstop) / neuron.h.t)
                        remaining_time = int(expected_time - time_elapsed)

                    sys.__stdout__.write(
                        "Simulating: t=%.0f/%.0fms (Remaining:%s s)     \r"
                        % (neuron.h.t, float(neuron.h.tstop), remaining_time)
                    )
                    sys.__stdout__.flush()
                    if neuron.h.t + self.interval < neuron.h.tstop:
                        neuron.h.cvode.event(neuron.h.t + self.interval, self.callback)

            UpdateEvent()
            print "Running Simulation"
            neuron.h.run()
            assert neuron.h.t + 1 >= neuron.h.tstop

        print "Time for Simulation: ", time.time() - t_sim_start

        # Extract the values back out:
        time_array = (
            np.array(neuron.h.__getattribute__(NeuronSimulationConstants.TimeVectorName))
            * NeuronSimulationConstants.TimeUnit
        )

        t_trace_read_start = time.time()
        traces = []
        records = hoc_data[MHocFileData.Recordables]
        for (record_obj, hoc_details) in records.iteritems():

            data_array = np.array(neuron.h.__getattribute__(hoc_details["recVecName"])) * record_obj.get_unit()

            trace_type = TraceVariableDT if self.simsettings["cvode"] else TraceFixedDT
            tr = trace_type(
                name=record_obj.name,
                comment=record_obj.get_description(),
                time=time_array,
                data=data_array,
                tags=record_obj.get_tags(),
            )

            # Simplify traces
            if self.simsettings["simplify_traces"]:
                print "CVODE:?", self.simsettings["cvode"]
                assert self.simsettings["cvode"] is False
                tr = tr.simplify(self.simsettings.simplify_traces)

            traces.append(tr)
        print "Time for Extracting Data: (%d records)" % len(records), time.time() - t_trace_read_start

        self.result = SimulationResult(traces=traces, evsets=[], simulation=self)

        self.do_result_post_processing()
        return self.result
Example #9
0
def _build_modfile_local(mod_filename_short, modfile=None):
    print os.getcwd()
    mod_file_basename = mod_filename_short.replace('.mod', '')
    c_filename = mod_file_basename + '.c'
    la_filename = mod_file_basename + '.la'
    lo_filename = mod_file_basename + '.lo'
    so_filename = mod_file_basename + '.so'

    libs_dir = '.libs/'

    # Check for some existing files:

    #for gen_file in gen_files:
    #    if os.path.exists(gen_file):
    #        assert False, 'We never get here'
    #        LocMgr.BackupDirectory(gen_file)

    c_filename = mod_file_basename + '.c'
    output = _simple_exec(ModBuilderParams.nocmodlpath, mod_filename_short)

    if not os.path.exists(c_filename):
        print 'Failed to compile modfile. Error:'
        print output, '\n'
        assert False

    # Add the extra registration function into our mod file:

    new_register_func = """\n modl_reg(){ _%s_reg(); }""" \
        % mod_file_basename
    FileIO.append_to_file(new_register_func, c_filename)

    # Compile the .c file -> .so:
    compile_str = ModBuilderParams.get_compile_str(c_filename, lo_filename)
    link_str = ModBuilderParams.get_link_str(lo_filename, la_filename)

    if SettingsMgr.simulator_is_verbose():
        print 'IN:', ModBuilderParams.libtoolpath,
        print compile_str
        print link_str

    compile_flags = modfile.additional_compile_flags if modfile else ''
    link_flags = modfile.additional_link_flags if modfile else ''
    op1 = _simple_exec(
        ModBuilderParams.libtoolpath,
        ModBuilderParams.get_compile_str(
            c_filename, lo_filename, additional_compile_flags=compile_flags))
    op2 = _simple_exec(
        ModBuilderParams.libtoolpath,
        ModBuilderParams.get_link_str(lo_filename,
                                      la_filename,
                                      additional_link_flags=link_flags))

    if SettingsMgr.simulator_is_verbose() or True:
        print 'OP1:', op1
        print 'OP2:', op2

    # Copy the correct .so from the libDir to the build_dir:
    shutil.move(os.path.join(libs_dir, mod_file_basename + '.so.0.0.0'),
                so_filename)

    # Clean up:
    if True:
        os.remove(c_filename)
        os.remove(mod_filename_short)
        for ext in ['.la', '.lo']:
            os.remove(mod_file_basename + ext)
        for ext in ['.la', '.lai', '.o', '.so', '.so.0']:
            os.remove(os.path.join(libs_dir, mod_file_basename + ext))
        os.rmdir(libs_dir)

    return so_filename
 def save_to_file(self, filename):
     res_string = pickle.dumps(self)
     return FileIO.write_to_file(
             res_string,
             filename=filename,
             filedirectory=LocMgr.get_simulation_tmp_dir())
 def _to_file_multi(cls, filename, morphs, regionname_to_int_map=None):
     return FileIO.write_to_file(txt=cls._to_str_multi(morphs, regionname_to_int_map=regionname_to_int_map) , filename=filename)
Example #12
0
 def __call__(self, result, bundle):
     assert self.filename
     filename = self.filename
     resstring = cPickle.dumps(result)
     FileIO.write_to_file(txt=resstring, filename=filename)
 def __call__(self, result, bundle):
     assert self.filename
     filename = self.filename
     resstring = cPickle.dumps(result)
     FileIO.write_to_file(txt=resstring, filename=filename)
     print "Size of results file: %.1f (MB)" % (os.path.getsize(filename)/1.e6)
Example #14
0
 def save_to_file(self, filename):
     res_string = pickle.dumps(self)
     return FileIO.write_to_file(
         res_string,
         filename=filename,
         filedirectory=LocMgr.get_simulation_tmp_dir())
Example #15
0
def _build_modfile_local(mod_filename_short, modfile=None):
    print os.getcwd()
    mod_file_basename = mod_filename_short.replace(".mod", "")
    c_filename = mod_file_basename + ".c"
    la_filename = mod_file_basename + ".la"
    lo_filename = mod_file_basename + ".lo"
    so_filename = mod_file_basename + ".so"

    libs_dir = ".libs/"

    # Check for some existing files:

    # for gen_file in gen_files:
    #    if os.path.exists(gen_file):
    #        assert False, 'We never get here'
    #        LocMgr.BackupDirectory(gen_file)

    c_filename = mod_file_basename + ".c"
    output = _simple_exec(ModBuilderParams.nocmodlpath, mod_filename_short)

    if not os.path.exists(c_filename):
        print "Failed to compile modfile. Error:"
        print output, "\n"
        assert False

    # Add the extra registration function into our mod file:

    new_register_func = """\n modl_reg(){ _%s_reg(); }""" % mod_file_basename
    FileIO.append_to_file(new_register_func, c_filename)

    # Compile the .c file -> .so:
    compile_str = ModBuilderParams.get_compile_str(c_filename, lo_filename)
    link_str = ModBuilderParams.get_link_str(lo_filename, la_filename)

    if SettingsMgr.simulator_is_verbose():
        print "IN:", ModBuilderParams.libtoolpath,
        print compile_str
        print link_str

    compile_flags = modfile.additional_compile_flags if modfile else ""
    link_flags = modfile.additional_link_flags if modfile else ""
    op1 = _simple_exec(
        ModBuilderParams.libtoolpath,
        ModBuilderParams.get_compile_str(c_filename, lo_filename, additional_compile_flags=compile_flags),
    )
    op2 = _simple_exec(
        ModBuilderParams.libtoolpath,
        ModBuilderParams.get_link_str(lo_filename, la_filename, additional_link_flags=link_flags),
    )

    if SettingsMgr.simulator_is_verbose() or True:
        print "OP1:", op1
        print "OP2:", op2

    # Copy the correct .so from the libDir to the build_dir:
    shutil.move(os.path.join(libs_dir, mod_file_basename + ".so.0.0.0"), so_filename)

    # Clean up:
    if True:
        os.remove(c_filename)
        os.remove(mod_filename_short)
        for ext in [".la", ".lo"]:
            os.remove(mod_file_basename + ext)
        for ext in [".la", ".lai", ".o", ".so", ".so.0"]:
            os.remove(os.path.join(libs_dir, mod_file_basename + ext))
        os.rmdir(libs_dir)

    return so_filename
def _build_modfile_local(mod_filename_short, modfile=None):
    print os.getcwd()
    mod_file_basename = mod_filename_short.replace('.mod', '')
    c_filename = mod_file_basename + '.c'
    la_filename = mod_file_basename + '.la'
    lo_filename = mod_file_basename + '.lo'
    so_filename = mod_file_basename + '.so'

    libs_dir = '.libs/'


    c_filename = mod_file_basename + '.c'
    output = _simple_exec(ModBuilderParams.nocmodlpath, mod_filename_short, err_ok=True)

    if not os.path.exists(c_filename):
        print 'Failed to compile modfile. Error:'
        print output, '\n'
        assert False

    # Add the extra registration function into our mod file:

    new_register_func = """\n modl_reg(){ _%s_reg(); }""" \
        % mod_file_basename
    FileIO.append_to_file(new_register_func, c_filename)

    # Compile the .c file -> .so:
    compile_str = ModBuilderParams.get_compile_str(c_filename, lo_filename)
    link_str = ModBuilderParams.get_link_str(lo_filename, la_filename)
    compile_flags = modfile.additional_compile_flags if modfile else ''
    link_flags = modfile.additional_link_flags if modfile else ''




    if SettingsMgr.simulator_is_verbose():
        print 'IN:', ModBuilderParams.libtoolpath,
        print compile_str
        print link_str

    op1 = _simple_exec(ModBuilderParams.libtoolpath, ModBuilderParams.get_compile_str(c_filename, lo_filename, additional_compile_flags=compile_flags))
    op2 = _simple_exec(ModBuilderParams.libtoolpath, ModBuilderParams.get_link_str(lo_filename, la_filename, additional_link_flags=link_flags))

    for filename in [c_filename, lo_filename, la_filename]:
        if not os.path.exists(filename):
            assert False, 'Error building mod-file!'


    if SettingsMgr.simulator_is_verbose() or True:
        print 'OP1:', op1
        print 'OP2:', op2

    # Copy the correct .so from the libDir to the build_dir:
    shutil.move(
        os.path.join(libs_dir, mod_file_basename + '.so.0.0.0'),
        so_filename)


    # Clean up:
    if True:
        os.remove(c_filename)
        os.remove(mod_filename_short)
        for ext in ['.la', '.lo']:
            os.remove(mod_file_basename + ext)
        for ext in ['.la', '.lai', '.o', '.so', '.so.0']:
            os.remove(os.path.join(libs_dir, mod_file_basename + ext))
        os.rmdir(libs_dir)

    return so_filename
Example #17
0
 def _to_file_multi(cls, filename, morphs, regionname_to_int_map=None):
     return FileIO.write_to_file(txt=cls._to_str_multi(
         morphs, regionname_to_int_map=regionname_to_int_map),
                                 filename=filename)
Example #18
0
    def _run_no_spawn(self):

        # Generate Random data:
        if False or MockControl.is_mock_simulation:
            return self.run_return_random_walks()

        def nrn(func, *args, **kwargs):
            return_value = func(*args, **kwargs)
            if return_value != 1.0:
                raise ValueError('nrn Command Failed')

        stdout = cStringIO.StringIO()
        with redirect_stdout(stdout_stream=stdout,
                             stderr_stream=stdout) as display_output:

            # Create the HOC and ModFiles:
            hoc_data = MHocFile()
            mod_files = MModFileSet()
            for sim_obj in self.simulation_objects:
                # print 'BUILDING HOC:', sim_obj
                sim_obj.build_hoc(hoc_data)
                # print 'BUILDING MOD:', sim_obj
                sim_obj.build_mod(mod_files)

            t_mod_build_start = time.time()
            mod_files.build_all()
            time_taken = time.time() - t_mod_build_start
            #print 'Time for Building Mod-Files: ', time_taken

            # Open Neuron:
            import neuron

            # Insert the mod-files:
            for modfile in mod_files:
                nrn(neuron.h.nrn_load_dll, modfile.get_built_filename_full())

            # Write the HOC file:
            t_sim_start = time.time()
            hoc_filename = FileIO.write_to_file(str(hoc_data), suffix='.hoc')

            nrn(neuron.h.load_file, hoc_filename)
            self.hocfilename = hoc_filename

            class Event(object):
                def __init__(self):
                    self.interval = 5.0
                    self.fih = neuron.h.FInitializeHandler(0.01, self.callback)

                def callback(self):
                    #print display_output
                    #display_output.stdout_prev.write('Simulating: t=%.0f/%.0fms \r' % (neuron.h.t, float(neuron.h.tstop)))
                    #display_output.stdout_prev.flush()
                    sys.__stdout__.write('Simulating: t=%.0f/%.0fms \r' %
                                         (neuron.h.t, float(neuron.h.tstop)))
                    sys.__stdout__.flush()
                    if neuron.h.t + self.interval < neuron.h.tstop:
                        neuron.h.cvode.event(neuron.h.t + self.interval,
                                             self.callback)

            Event()
            print 'Running Simulation'
            neuron.h.run()
            assert neuron.h.t + 1 >= neuron.h.tstop

        print 'Time for Simulation: ', time.time() - t_sim_start

        # Extract the values back out:
        time_array = np.array(
            neuron.h.__getattribute__(NeuronSimulationConstants.TimeVectorName)
        ) * NeuronSimulationConstants.TimeUnit

        t_trace_read_start = time.time()
        traces = []
        records = hoc_data[MHocFileData.Recordables]
        for (record_obj, hoc_details) in records.iteritems():

            data_array = np.array(
                neuron.h.__getattribute__(
                    hoc_details["recVecName"])) * record_obj.get_unit()

            tr = TraceVariableDT(name=record_obj.name,
                                 comment=record_obj.get_description(),
                                 time=time_array,
                                 data=data_array,
                                 tags=record_obj.get_tags())
            traces.append(tr)
        print 'Time for Extracting Data: (%d records)' % len(records), \
            time.time() - t_trace_read_start

        self.result = SimulationResult(traces, self)
        return self.result