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y@dev20210711:~/src/quamina$ quaminagen -h
Usage of quaminagen:
  -core
    	use CoreMatcher instead of Pruner
  -matching-events int
    	number of matching events (default 1000)
  -matching-patterns int
    	number of Matching patterns (default 1000)
  -num-pattern-ids int
    	number of pattern ids (default 400)

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package quamina

import (
	"fmt"
	"log"
	"math/rand"
	"sync"
	"testing"
)

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RemPattern for Quamina

Basic problem and proposed solution

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:

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CSS operations

CSS = Conjunction Streaming Service, which consumes orbital data (currently TLEs) and emits conjunction reports for objects on orbit (or crossing orbits).

Contact

Email contact: [email protected].

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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.

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// Package main demos TAOCP, Vol. 2, p. 232 algorithm for incremental variance.
package main

import (
	"fmt"
	"math/rand"
)

type Var struct {
	N int

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---- 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

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Notes on representing and computing uncertainty

Approach

A simple approach that uses sampling from either probability distributions or approximations of distributions as input and output from deterministic functions.

Terminology

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 .