28:null 29:["$","title",null,{"children":"Gun Peer Stats | I001962 | Observable"}] 2e:T473,message = { let i = 0; const text = "Gun Peer Stats"; let message; while (i < text.length) { await Promises.delay(40); let span = html`${text.substr(i, 1)}`; span.style.color = d3.interpolateViridis(i / text.length); span.setAttribute("value", i); span.setAttribute("ascending", "ascending"); if (i == 0) { message = html`${span}`; } else { message = html`${message.innerHTML}${span}`; } i = i + 1; yield html`

${message}

`; } while (i >= text.length) { await Promises.delay(100); let current_message = html`

${message}

`; let current_spans = current_message.firstChild.children; for (let span of current_spans) { let v = +span.getAttribute("value"); if ((v == text.length) | (v == -1)) { span.toggleAttribute("ascending"); } span.hasAttribute("ascending") ? v-- : v++; span.setAttribute("value", v); span.style.color = d3.interpolateViridis(v / text.length); // span.style.fontSize = Math.sin(v / 10) + 20 + "px"; } i = i + 1; yield current_message; } }2f:T906,function input(config) { let { form, type = "text", attributes = {}, action, getValue, title, description, format, display, submit, options } = config; const wrapper = html`

`; if (!form) form = html``; Object.keys(attributes).forEach(key => { const val = attributes[key]; if (val != null) form.input.setAttribute(key, val); }); if (submit) form.append( html`` ); form.append( html`` ); if (title) form.prepend( html`

${title}

` ); if (description) form.append( html`

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"onchange" : "oninput"; form[verb] = e => { e && e.preventDefault(); const value = getValue ? getValue(form.input) : form.input.value; if (form.output) { const out = display ? display(value) : format ? format(value) : value; if (out instanceof window.Element) { while (form.output.hasChildNodes()) { form.output.removeChild(form.output.lastChild); } form.output.append(out); } else { form.output.value = out; } } form.value = value; if (verb !== "oninput") form.dispatchEvent(new CustomEvent("input", { bubbles: true })); }; if (verb !== "oninput") wrapper.oninput = e => e && e.stopPropagation() && e.preventDefault(); if (verb !== "onsubmit") form.onsubmit = e => e && e.preventDefault(); form[verb](); } while (form.childNodes.length) { wrapper.appendChild(form.childNodes[0]); } form.append(wrapper); return form; }30:[] 2c:{"id":"804a2129364a85fb","slug":"gun-peer-stats","title":"Gun Peer Stats","thumbnail":"812457a05eeb568eb60d0dab462bc7119bf2c843bac0c39dc0d5cba75459ad41","access_level":"public","create_time":"$D2021-01-01T23:32:01.357Z","update_time":"$D2021-06-18T23:32:38.309Z","view_time":null,"first_public_time":"$D2021-01-09T00:17:56.231Z","has_unpublished_edits":null,"fork":true,"stars":0,"starred":false,"owner":{"type":"team","id":"436acea24096daff","login":"i001962","name":"I001962","avatar_url":"https://avatars-next.observableusercontent.com/7212e15f56a82fc2cc6f6e4457694ecaa8dc7341f61c1244b492e2649b21ddc8","tier":"starter_2024"},"version":1145,"publish_version":1145,"role":null,"authored":false,"authors":[{"type":"individual","id":"3f12d775ca68a2fb","login":"i001962","name":"I001962","avatar_url":"https://avatars-next.observableusercontent.com/7212e15f56a82fc2cc6f6e4457694ecaa8dc7341f61c1244b492e2649b21ddc8","tier":null}],"members":[{"type":"individual","id":"3f12d775ca68a2fb","login":"i001962","name":"I001962","avatar_url":"https://avatars-next.observableusercontent.com/7212e15f56a82fc2cc6f6e4457694ecaa8dc7341f61c1244b492e2649b21ddc8","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"Gun Peer Stats","cells":[{"id":0,"value":"$2e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":719,"value":"md` \n### Collect new Observations, Orient (with existing knowledge), Decide and Act...`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1050,"value":"md`### Setup and Usage\n- Load this notebook with all stats from a GUN Peer. Use Button\n- Select a metric from drop down eg RAD parsed JSON. Use Dropdown\n- Calculate quantiles from history. These will be used to create a Metalog simulation. Use Button\n- Compare shape of Observed data and Simulated distribution.\n- Note there are some corner cases where the simulated dists will not render. This is due to not enough data or a very small low value to median distance OR more commonly the streaming historgram library does NOT support 0 values.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1034,"value":"viewof b2 = button({\n value: \"Get all GUN stats for a peer. \",\n description:\n \"Poll a gundb super peer eg gun-us. This would be real-time when deploye with gundb. These are a snapshot of observations.\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":730,"value":"recentGunStats = {\n b2;\n var data = await (await fetch(\n 'https://gun-us.herokuapp.com/gun/stats.radata',\n {\n method: 'GET',\n mode: 'cors'\n }\n )).json();\n return data;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":208,"value":"md`## Observation\nClick to capture stats on number of Gundb peer connections. You are pooling a so called super peer.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":944,"value":"// gunStatsFieldIn = \"0ms TO\" //\"got prep time\" //\"# on hear batch\" // 'rad parsed JSON' ********IMPORTANT can't have 0 values! I know, I know\n\nviewof gunStatsFieldIn = select({\n description: \"Fliter all GUN Stats down to one. Pick a stat\",\n options: [\n \"0ms TO\",\n \"# on hear batch\",\n \"fire\",\n \"got prep time\",\n \"# on hear batch\",\n \"put\",\n \"puff\",\n \"hear loop\",\n \"wrote disk\",\n \"rad parsed JSON\",\n \"rad packs #\",\n \"rad check\",\n \"rad acks #\",\n\n \"read disk\",\n \"rad stringified JSON\",\n \"rad check\"\n ],\n multiple: false\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":851,"value":"viewof b3 = button({\n value: \"Recalculate distribution quantiles.\",\n description: \"Poll a gundb super peer eg gun-us\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":967,"value":"histogram(gunStatsForHisto, 600, 300, 'Actual Distribution', 30)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":215,"value":"md`## Orient\nNew observations are added to the shape of the previous observations. `","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":200,"value":"histogram(simulatedDist, 600, 300, 'Simulated metalog', 30)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":700,"value":"md`\nIn the cell below you will see that a few quantiles and parameters are being calculate and stored. These parameters will be input into the metalog function which simulates n trials to fit the historical observations. This is handy way to reduce the amount of information needed to share a distribution.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":828,"value":"metaLogParamsStats = {\n b3;\n var data = buildMetalogParams(histogram1);\n return data;\n}\n\n//metaLogParamsStats = buildMetalogParams(histogram1)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":95,"value":"//simulatedDist = createMetalogDist(seededUniform, metaLogParamsStats)\n\nsimulatedDist = {\n var a = createMetalogDist(seededUniform, metaLogParamsStats);\n a.sort(function(x, y) {\n return d3.ascending(x, y);\n });\n\n return a;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1099,"value":"Math.max(...simulatedDist)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1126,"value":"Math.max(...gunStatsCrossCheck)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1104,"value":"gunStatsCrossCheck = {\n let msgArry = [];\n\n let sumFunction = async function(b) {\n return b[1]; // grab only second field in array *******IMPORTANT\n };\n\n // recentGunStats.all.msg.forEach(async function(msg) {\n recentGunStats.all[gunStatsFieldIn].forEach(async function(msg) {\n msgArry.push(await sumFunction(msg));\n histogram1.recordValue(await sumFunction(msg));\n return msg[0];\n });\n return msgArry;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":237,"value":"md`### Decide\nWhat is the chance of *x* or less?`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":241,"value":"viewof chanceOfSlider = slider({\n min: 1,\n max: 100,\n step: 1,\n value: 1,\n format: \",\",\n description:\n \"Chance of a New Observation being less than or equal (value of this slider) based on historical slider usage.\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":244,"value":"chanceOfxOrLess = d3.quantile(simulatedDist, chanceOfSlider / 100)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":684,"value":"md`## Act\nIn an OODA loop after observing, orienting and deciding it's time to take action. For this notebook your action could be to enter another data point into the slider above to represent the result of your action. A bit abstract (I know, I know) yet a feedback loop here could create an infinite loop.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1090,"value":"md`### More TODO\n- fix historgram x axis for easier visual comparison\n- add metalog error messages - See this notebook for latest metalog with error messages https://observablehq.com/@i001962/metalog-code-generator?collection=@i001962/probability-management\n- move to gundb so Orient is distributed to edge devices and shared peer to peer`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":682,"value":"md`# Code Details in no special order`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1067,"value":"histogram1.totalCount","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":928,"value":"gunStatsField = recentGunStats.all[gunStatsFieldIn]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":891,"value":"gunStatsForHisto = {\n let msgArry = [];\n\n let sumFunction = async function(b) {\n return b[1]; // grab only second field in array *******IMPORTANT\n };\n histogram1.reset();\n // recentGunStats.all.msg.forEach(async function(msg) {\n gunStatsField.forEach(async function(msg) {\n msgArry.push(await sumFunction(msg));\n histogram1.recordValue(await sumFunction(msg));\n return msg[0];\n });\n return msgArry;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":982,"value":"d3format = require(\"d3-format@1\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":980,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":622,"value":"import { button } from \"@jashkenas/inputs\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":977,"value":"import {select} from \"@jashkenas/inputs\"\n","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":62,"value":"createMetalogDist = function(arrayOfUnis, metaLogParamsStatsIn) {\n var arrayLength = arrayOfUnis.length;\n var newArray = [];\n for (var i = 0; i < arrayLength; i++) {\n // loop through array of unis\n newArray[i] = metalog(arrayOfUnis[i], metaLogParamsStatsIn); // get metalog value and put into dist vector\n }\n return newArray;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":64,"value":"function buildMetalogParams(histogramIn) {\n var obj = {};\n\n Object.assign(obj, { lowProb: 0.1 }); // fixed for now\n Object.assign(obj, { lowerBound: histogramIn.minNonZeroValue }); // histogram lib only postives > 0\n Object.assign(obj, { lowValue: histogramIn.getValueAtPercentile(10) }); // this is the value at lowProb misleading name!\n Object.assign(obj, { median: histogramIn.getValueAtPercentile(50) });\n Object.assign(obj, { highValue: histogramIn.getValueAtPercentile(90) }); // this is the value at 1- lowProb\n Object.assign(obj, { upperBound: histogramIn.maxValue });\n Object.assign(obj, { boundedness: \"b\" }); // fixed for now\n return obj;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":87,"value":"seededUniform = {\n var a = generateSeededUniform(trials, 12345);\n a.sort(function(x, y) {\n return d3.ascending(x, y);\n });\n\n return a;\n}\n//x = jStat.seq(0.01, 30, 1000)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":6,"value":"histogram1 = JSHistogram.build({\n bitBucketSize: 32, // may be 8, 16, 32, 64 or 'packed'\n autoResize: true, // default value is true\n lowestDiscernibleValue: 1, // default value is also 1\n highestTrackableValue: 100000000000, // can increase up to Number.MAX_SAFE_INTEGER\n numberOfSignificantValueDigits: 3 // Number between 1 and 5 (inclusive)\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":81,"value":"function generateSeededUniform(trials, seedIn) {\n var samples = new Array(trials);\n for (var distTrials = 0; distTrials < trials; distTrials++) {\n samples[distTrials] = HDRando(seedIn, distTrials);\n }\n return samples;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":79,"value":"HDRando(1234, 0)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":198,"value":"import { histogram } from '@jonhelfman/histogram'","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":165,"value":"JSHistogram = require('https://bundle.run/hdr-histogram-js@2.0.1')","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":57,"value":"import { metalog, HDRando } from '@i001962/correlated-metalog-using-copulas'","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":10,"value":"import {slider} from \"@jashkenas/inputs\"\n","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":99,"value":"Plotly = require(\"https://cdn.plot.ly/plotly-latest.min.js\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":247,"value":"// d3 = require(\"d3\", \"d3-array@^2.2\")\nd3 = require(\"d3@6\", \"d3-array@^2.2\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":595,"value":"import { kde, epanechnikov } from \"@d3/kernel-density-estimation\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":314,"value":"margin = {\n return {\n top: 50,\n right: 50,\n bottom: 50,\n left: 100\n };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":316,"value":"width = 600","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":317,"value":"height = 200","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":331,"value":"jStat = require('//cdn.jsdelivr.net/npm/jstat@latest/dist/jstat.min.js')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":361,"value":"qfYScale = d3\n .scaleLinear()\n .domain(d3.extent(qfData, d => d.p_less_than_x))\n .range([height, 0])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":362,"value":"qfData = simulatedDist.map((d, i) => ({\n x: d,\n p_less_than_x: seededUniform[i]\n}))\n\n/* \nqfData = seededUniform.map(d => ({\n x: d,\n p_less_than_x: metalog(d, metaLogParams)\n}))\n*/","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":371,"value":"function generateDotplotStacks(data, binwidth) {\n data = data.sort((a, b) => a - b);\n const stacks = [];\n for (let i = 0; i < data.length; ) {\n const threshold = data[i] + binwidth;\n\n const stack = [data[i]];\n let j = i + 1;\n\n while (data[j] < threshold) {\n stack.push(data[j++]);\n }\n let v = (stack[stack.length - 1] - stack[0]) / 2;\n const diff = data[i] - data[i - 1];\n // if (diff > binwidth || i == 0) { // X_0 = -inf in the original algorithm\n // v = (stack[stack.length - 1] - stack[0]) / 2;\n // }\n\n stacks.push({\n values: stack,\n // \"x\": jStat.median(stack),\n // \"x\": (stack[0] + stack[stack.length - 1]) / 2\n x: stack[0] + v,\n v: v,\n diff: diff,\n threshold: threshold\n });\n i = j;\n }\n return stacks;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":373,"value":"mutable startValue = 20","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":421,"value":"x = jStat.seq(0.01, 100, trials)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":537,"value":"trials = 100","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":738,"value":"statsCollection = new Object()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":708,"value":"md`### Credits and acknowledgements\n- https://observablehq.com/@ale0xb/quantile-dotplots \n- http://www.metalogdistributions.com/home.html \n- https://hubbardresearch.com/ \n- https://fs.blog/2018/01/john-boyd-ooda-loop/`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W30","stdlib":"1","titling":"auto"}} 2d:"$2c:body"