John Kazer johnkazer
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| FPX v2 | |
| loggedOut | |
| login -> handleLogin | |
| handleLogin | |
| login success -> fetchUserData | |
| login fail -> loggedOut | |
| fetchUserData | |
| success -> editCurrentProcess | |
| no data -> editNewProcess | |
| fail -> loggedOut |
johnkazer
/ machine.js
Last active
May 13, 2020 08:06
Generated by XState Viz: https://xstate.js.org/viz
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| // Available variables: | |
| // - Machine | |
| // - interpret | |
| // - assign | |
| // - send | |
| // - sendParent | |
| // - spawn | |
| // - raise | |
| // - actions |
johnkazer
/ machine.js
Created
December 20, 2019 21:00
Generated by XState Viz: https://xstate.js.org/viz
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| // Available variables: | |
| // - Machine | |
| // - interpret | |
| // - assign | |
| // - send | |
| // - sendParent | |
| // - spawn | |
| // - raise | |
| // - actions |
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| Project Tracker | |
| Holidays -> Holidays | |
| Team -> Team | |
| Team utilisation -> Team utilisation | |
| Individual capacity -> Individual capacity | |
| projectCapTab -> projectCapTab | |
| Project forecast -> Project forecast | |
| Holidays | |
| Team | |
| Add new entry -> New team form |
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| Reviewing CT Style | |
| Colours | |
| click -> Process | |
| Colour_1 -> Info_1 | |
| Process | |
| click -> Colours | |
| Info_1 | |
| return -> Colours |
johnkazer
/ SketchSystems.spec
Last active
August 23, 2019 21:01
— forked from ryanlucas/SketchSystems.spec
Embedding Figma frames
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| Embedding Figma frames | |
| Shop | |
| click Tickets -> Tickets | |
| Tickets | |
| click Shop -> Shop | |
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| GBF Tool Home* | |
| Carbon Calc Tool -> Calculator Home | |
| Benchmark Tool -> Benchmark Home | |
| Business Case Tool -> BusinessCase Home | |
| Benchmark Home | |
| click breadcrumb -> GBF Tool Home | |
| BusinessCase Home | |
| click breadcrumb -> GBF Tool Home | |
| Calculator Home | |
| click Start Button -> Data Intro |
johnkazer
/ neuralNetworkWeights.json
Last active
May 8, 2019 12:45
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| { | |
| "sizes": [ | |
| 86, | |
| 43, | |
| 1 | |
| ], | |
| "layers": [ | |
| { | |
| "0": {}, | |
| "1": {}, |
johnkazer
/ neuralNetworkFunctional.js
Last active
May 9, 2019 07:39
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| exports.start = function (res) { // res being the Express response object, being the server package I used | |
| const network = new NN.NeuralNetwork(); | |
| let dataTypes = [] | |
| let listOfTrainingData = [] | |
| let listOfTestData = [] | |
| let trainingDataRaw = [] | |
| let testDataRaw = [] | |
| const trainingOptions = { /* config options */ } | |
| var parser = csv({ delimiter: ',' }, function (err, data) { // in general, I find processing of arbitrary data files hard to do with pure functions - so I took some short cuts... | |
| if (err || data.length === 0) { |
johnkazer
/ neuralNetworkProcedural.js
Last active
May 9, 2019 07:28
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| exports.start = function (res) { // res is the Express response object, being the server package I used | |
| let training = true | |
| let trainingDataSet = [] | |
| let testResult = [] | |
| const network = new NN.NeuralNetwork(); | |
| let dataTypes = [] | |
| let listOfTrainingData = [] | |
| let listOfTestData = [] | |
| let trainingDataRaw = [] | |
| let testDataRaw = [] |
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