http://adelmanlab.org/easyNet/documentation/ 2026-04-07T19:06:01+00:00 http://adelmanlab.org/easyNet/documentation/ http://adelmanlab.org/easyNet/documentation/lib/tpl/dokuwiki/images/favicon.ico text/html 2016-03-25T14:18:05+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=lazynut_scripting_language:reference:observer:above_threshold_observer_impl&rev=1458915485&do=diff above_threshold_observer_impl An observer for layers that use strength_patterns. Output is the name of the (last) state dimension that has a value above a threshold, or “?” if there is none. Parameter Is a parameter_client: parameter default\_value threshold 0 text/html 2016-03-25T14:23:24+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=lazynut_scripting_language:reference:observer:misc&rev=1458915804&do=diff verbose_observer, spatial_verbose_observer, top_n_observer, selective_observer These produce complex descriptions of the state of a layer, used in the old logging system, which is ultimately to be removed. dflog_nobserver is now used instead for all logging, so these are not described in detail. text/html 2016-03-25T14:18:32+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=lazynut_scripting_language:reference:observer:mrom_no_observer_impl&rev=1458915512&do=diff mrom_no_observer_impl An observer for layers that use strength_patterns. Output is based on the variable timeout rule of MROM. If the layer's current_time is before check_time, return “?”. Otherwise, calculate the summed activity at check_time_ text/html 2016-03-25T14:23:05+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=lazynut_scripting_language:reference:observer:mrom_yes_observer_impl&rev=1458915785&do=diff mrom_yes_observer_impl An observer for layers that use strength_patterns. Output is based on the variable threshold rule of MROM. If the layer's current_time is before check_time, the threshold is threshold_high. Otherwise, calculate the summed activity at _ text/html 2016-03-25T13:12:42+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=lazynut_scripting_language:reference:observer:regex_observer_impl&rev=1458911562&do=diff regex_observer_impl An observer for observers. Apply a series of sed-like search-replace rules to the output of the stalkee. add some_robs add search replace Append a rule to the list of rules forsome_robs to replace the first instance of search in the input with text/html 2016-03-25T14:22:30+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=lazynut_scripting_language:reference:observer:serialize_blocks_observer_impl&rev=1458915750&do=diff serialize_blocks_observer_impl An observer for layers with blocked_representation. Apply an inner observer to each block of the output of the layer, and concatenate the results. Parameters Is a parameter_client that fills the parameters of its inner observer by copying the names of those parameters and delegating setting of parameters to the inner observer. text/html 2016-03-25T14:24:30+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=lazynut_scripting_language:reference:observer:subtypes&rev=1458915870&do=diff Subtypes of observer above_threshold_observer = {above_threshold_observer_impl} ia_decision_observer = {ia_decision_observer_impl} mrom_no_observer = {mrom_no_observer_impl} mrom_yes_observer = {mrom_yes_observer_impl} output_above_threshold_observer = {output_above_threshold_observer_impl} output_string_observer = {output_string_observer_impl} regex_observer = {regex_observer_impl} selective_observer = {selective_observer_impl} serialize_blocks_observer = {______ text/html 2016-03-25T14:22:11+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=lazynut_scripting_language:reference:observer:tennis_observer_impl&rev=1458915731&do=diff tennis_observer_impl An observer for layers with strength_patterns. Outputs the name of the highest valued dimensions if it both (i) exceeds a minimum threshold and (ii) its difference from the next highest valued dimension exceeds a separation threshold._