espect

erlang spectra computation tool

Quick start

some start strings

%% cluster supervisor
application:stop(espect).
application:start(espect). 
node_supervisor:start_espect_cluster(password).
cluster_supervisor:distribute_neuron_indeces().
%neuron_event_handler:trigger_load_spectra_to_neurons_workers().
neuron_initialization_manager:initialize_neurons().
neuron_event_handler:trigger_neuron_compare({compare, spectrum_dispatcher:get_spectrum_id()}).

%cluster worker
application:stop(espect).
application:start(espect). 
node_supervisor:join_espect_cluster(node30@node30, password).
node_supervisor:join_espect_cluster(node30@node30, password).

lists:foreach(fun(Node) ->
      rpc:call(Node, application, stop, [espect]),
        rpc:call(Node, application, start, [espect]),
          rpc:call(Node, node_supervisor, join_espect_cluster, [node30@node30, password]),
            rpc:call(Node, node_supervisor, join_espect_cluster, [node30@node30, password])
            end, [node25@node25, node26@node26, node27@node27, node28@node28, node29@node29]).

lists:foreach(fun(Node) ->
      rpc:call(Node, application, start, [mnesia]),
        rpc:call(Node, mnesia, change_config, [extra_db_nodes, [node30@node30]])
        end, [node25@node25, node26@node26, node27@node27, node28@node28, node29@node29]).

%%% profiling
fprof:trace([start, {procs, [pid(0,119,0)]}, {file, "/var/tmp/fprof.trace"}]).
%runs a while
fprof:trace([stop]).
fprof:profile({file, "/var/tmp/fprof.trace"}).
fprof:analyse([totals, {dest, "/var/tmp/fprof_result.txt"}]).
fprof:stop().

error_logger:logfile({open, "/var/tmp/espect.log"}).
neuron_supervisor:start_link({local, testsup}, {child_specs, 0, 200, {neuron_coordinates, 0}}).
spectrum_dispatcher:reset_speclist_index(). 

neuron_event_handler:trigger_load_spectra_to_neurons_workers().

neuron_event_handler:trigger_neuron_compare({compare, spectrum_dispatcher:get_spectrum_with_id({global, spectrum_dispatcher})}).
neuron_event_handler:trigger_neuron_update({update, bmu_manager:get_bmu(bmu_manager)}).
bmu_manager:next_learning_step().



sample_spectra:make_sample_spectrum_bucket([100,100], "/var/tmp/sine/", 256, binary).

sample_spectra:make_sample_spectrum_bucket([5,5], "/var/tmp/sine/", 10, binary).



#cd /var/tmp/sine/
#for name in *.spec; do sed "s/\.$//g" $name |sponge $name ; done
#python render_icons_simple.py -i plain -o output -s 255 -n
new=200
old=$(($new-1))
  cd /tmp/
  echo "y;x;MJD;plateID;fibID" > /var/tmp/sine/zuordnung.csv
  cat /var/tmp/som_$new.csv |tr ',' ';'|tr -d [\[\]] >> /var/tmp/sine/zuordnung.csv
  mv /var/tmp/sine/output/web/som /var/tmp/sine/output/web/som.$old
  cd /var/tmp/sine/output
  python ./aspectui_csv_list_input.py
  python ./data_layers_csv_list_input.py