Quamina doesn't currently
support RemPattern. Some of the contemplated implementations of
RemPattern are difficult. At least one approach is pretty easy:
Wrap the current matcher to filter removed patterns from match results
and periodically rebuild the matcher from scrach with the live
patterns. More specifically:
CSS = Conjunction Streaming Service, which consumes orbital data (currently TLEs) and emits conjunction reports for objects on orbit (or crossing orbits).
Email contact: info@morphism.com.
To run a model, you need a configuration. The structure of a configuration consists of various Go structures, maps, and other types. We use a fork (with only minor changes) of github.com/alecthomas/jsonschema to generate a JSON schema for model configurations. For one GUI, we then use github.com/json-editor/json-editor to generate a complex HTML/Javascript configuration form dynamically from that JSON schema. A Go program serves the HTML and Javascript, and that program also runs then model. The model output is rendered using d3js.org.
| // Package main demos TAOCP, Vol. 2, p. 232 algorithm for incremental variance. | |
| package main | |
| import ( | |
| "fmt" | |
| "math/rand" | |
| ) | |
| type Var struct { | |
| N int |
| ---- MODULE Kyle1 ---- | |
| (* Kyle has a rule that turns on his garage light for 10 minutes every time | |
| he opens his garage door. Unfortunately, Kyle has to go into his garage | |
| frequently (in order to get the next exotic tool he urgently needs | |
| for a project). Does his rule really do what he wants? *) | |
| EXTENDS Naturals, Sequences | |
| VARIABLES lts, \* Light timers | |
| o, \* Interal state for deciding whether to open the door |
A simple approach that uses sampling from either probability distributions or approximations of distributions as input and output from deterministic functions.
As examples, we'll consider observations and predictions. A prediction is computed from a set of observations. We'll work with observations and predictions of probability distributions of tuples .
A Python script for generating KML with timestamps from Pixhawk logs.
See the script for a few comments.
| ;; Ugly mitigation of http://dev.clojure.org/jira/browse/CLJ-1152 in | |
| ;; the protocols case. Motivation: Need to eval lots domain-specific | |
| ;; language code rendered in core.logic. Approach: Start a thread to | |
| ;; purge protocol caches every second. You should probable write a | |
| ;; fancier version. | |
| (defn protocol? [x] | |
| (and (instance? clojure.lang.PersistentArrayMap x) | |
| (boolean (:on-interface x)))) |
| java -jar kg.jar --threads 2 --partitioned-grandchildren-test | |
| :kc-open 000-foo.kct | |
| :kc-open 001-foo.kct | |
| :load-synthetic-data #<DB 000-foo.kct: 0: 400128> :start | |
| :load-synthetic-data #<DB 000-foo.kct: 0: 400128> :nodes 0 | |
| :load-synthetic-data #<DB 001-foo.kct: 0: 400128> :start | |
| :load-synthetic-data #<DB 001-foo.kct: 0: 400128> :nodes 0 | |
| :load-synthetic-data #<DB 001-foo.kct: 44505: 400128> :done | |
| {:triples-added 44505, :nodes 10000, :triples-total 44505, :triples-per-second 35718.29855537721} | |
| :load-synthetic-data #<DB 000-foo.kct: 45235: 400128> :done |