feat: Add utility tools
I'm hoping to have these be a separate package that are also used in the website.
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.gitignore
vendored
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.gitignore
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@ -3,6 +3,9 @@
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# personal notes
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# personal notes
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Notes.md
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Notes.md
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# personal outputs
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packages/utility-tools/input/input-links-*
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# vim files
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# vim files
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.swp
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.swp
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3
.vscode/settings.json
vendored
3
.vscode/settings.json
vendored
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@ -1,3 +0,0 @@
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{
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"cSpell.words": ["Stdev"]
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}
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9
packages/utility-tools/README.md
Normal file
9
packages/utility-tools/README.md
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## Utility function processor
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This package contains a series of utilities to work with the utility functions produced by [this utility function extractor](https://utility-function-extractor.quantifieduncertainty.org/openphil-2018-ai-risk)
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### Merge sort
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Given a list of elements and a list of utilitity comparisons, sort the list.
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Gotcha: The list of elements has to be the same list, and in the same order, as that produced when initially doing the comparisons. This is because the merge-sort algorithm depends on the initial order of the list.
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241
packages/utility-tools/input/input-links.json
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241
packages/utility-tools/input/input-links.json
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@ -0,0 +1,241 @@
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[
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{
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"source": "Stanford University — Machine Learning Security Research Led by Dan Boneh and Florian Tramer",
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"target": "Wilson Center — AI Policy Seminar Series",
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"distance": 4.039836724233664,
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"reasoning": "Jaime's estimates.\nThe Wilson Center seems to not be running the AI Policy Seminar Series anymore, so I am led to believe it was not a great success (?). There could be someone key influenced that will facilitate things later but seems unlikely\nThe ML Security program does not seem to have resulted on anything substantial",
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"squiggleString": "1 to 10"
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},
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{
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"source": "Stanford University — Machine Learning Security Research Led by Dan Boneh and Florian Tramer",
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"target": "Open Phil AI Fellowship — 2018 Class",
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"distance": 657.4661082204123,
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"reasoning": "The AI fellows have produced work on interpretability and out of distribution learning.\nSeems to have been better for purchasing influence too, though that's a secondary consideration IMO",
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"squiggleString": "400 to 1000"
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},
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{
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"source": "Wilson Center — AI Policy Seminar Series",
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"target": "Open Phil AI Fellowship — 2018 Class",
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"distance": 403.9836724233662,
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"reasoning": "The research seems more directly relevant from the AI fellows, the policy seminar has no legible output",
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"squiggleString": "100 to 1000"
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},
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{
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"source": "UC Berkeley — AI Safety Research (2018)",
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"target": "Machine Intelligence Research Institute — AI Safety Retraining Program",
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"distance": 40.39836724233665,
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"reasoning": "Seems to support directly people working on the topic, and more counterfactual",
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"squiggleString": "10 to 100"
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},
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{
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"source": "Stanford University — Machine Learning Security Research Led by Dan Boneh and Florian Tramer",
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"target": "UC Berkeley — AI Safety Research (2018)",
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"distance": 7.229755173700019,
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"reasoning": "AI Safety Research Affects more people, someone might end up doing something cool",
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"squiggleString": "5 to 10"
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},
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{
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"source": "Wilson Center — AI Policy Seminar Series",
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"target": "UC Berkeley — AI Safety Research (2018)",
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"distance": 2.663515640351876,
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"reasoning": "Similar value from the outside",
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"squiggleString": "0.1 to 10"
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},
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{
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"source": "UC Berkeley — AI Safety Research (2018)",
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"target": "Open Phil AI Fellowship — 2018 Class",
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"distance": 247.53475654135346,
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"reasoning": "AI fellows produced directly relevant research, are more successful",
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"squiggleString": "(1/(0.001 to 0.01))"
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},
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{
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"source": "Machine Intelligence Research Institute — AI Safety Retraining Program",
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"target": "Open Phil AI Fellowship — 2018 Class",
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"distance": 49.50695130827075,
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"reasoning": "aI fellows seem to have produced more relevant research, though grant is less counterfactual",
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"squiggleString": "(1/(0.005 to 0.05))"
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},
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{
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"source": "Ought — General Support (2018)",
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"target": "Oxford University — Research on the Global Politics of AI",
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"distance": 403.9836724233662,
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"reasoning": "GovAI is doing cool stuff, Ought not so much",
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"squiggleString": "100 to 1000"
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},
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{
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"source": "AI Impacts — General Support (2018)",
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"target": "Michael Cohen and Dmitrii Krasheninnikov — Scholarship Support (2018)",
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"distance": 2.5202870466776885,
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"reasoning": "Direct work seems more important, but Ai impacts work is pretty cool",
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"squiggleString": "1 to 5"
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},
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{
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"source": "Ought — General Support (2018)",
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"target": "AI Impacts — General Support (2018)",
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"distance": 109.28343925564944,
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"reasoning": "AI impacts work has been more successful \\ useful for my research",
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"squiggleString": "50 to 200"
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},
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{
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"source": "AI Impacts — General Support (2018)",
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"target": "Oxford University — Research on the Global Politics of AI",
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"distance": 39.678020061969825,
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"reasoning": "GovAI is doing more work and on a more neglected topic. Both are doing good work, but GOvAI output is bigger",
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"squiggleString": "(1/(0.01 to 0.05))"
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},
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{
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"source": "Oxford University — Research on the Global Politics of AI",
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"target": "Michael Cohen and Dmitrii Krasheninnikov — Scholarship Support (2018)",
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"distance": 2.865987655844147,
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"reasoning": "Cohens work seems harder to replace.\nGovAI is doing more work though",
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"squiggleString": "0.01 to 10"
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},
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{
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"source": "Stanford University — Machine Learning Security Research Led by Dan Boneh and Florian Tramer",
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"target": "Ought — General Support (2018)",
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"distance": 14.338510859889407,
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"reasoning": "At least Ought is trying ",
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"squiggleString": "1 to 50"
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},
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{
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"source": "Wilson Center — AI Policy Seminar Series",
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"target": "Ought — General Support (2018)",
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"distance": 2.663515640351876,
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"reasoning": "Unclear",
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"squiggleString": "0.1 to 10"
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},
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{
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"source": "UC Berkeley — AI Safety Research (2018)",
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"target": "Ought — General Support (2018)",
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"distance": 4.039836724233664,
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"reasoning": "At least ought is trying",
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"squiggleString": "1 to 10"
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},
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{
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"source": "Machine Intelligence Research Institute — AI Safety Retraining Program",
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"target": "Ought — General Support (2018)",
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"distance": 1.4338510859889406,
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"reasoning": "Value more the potential new hire than oughts research",
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"squiggleString": "0.1 to 5"
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},
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{
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"source": "Ought — General Support (2018)",
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"target": "Open Phil AI Fellowship — 2018 Class",
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"distance": 247.53475654135346,
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"reasoning": "Fellows seem to have produced more relevant research",
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"squiggleString": "(1/(0.001 to 0.01))"
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},
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{
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"source": "AI Impacts — General Support (2018)",
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"target": "Open Phil AI Fellowship — 2018 Class",
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"distance": 13.831727022205978,
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"reasoning": "Fellows produced more relevant research, AI impacts work is cool though",
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"squiggleString": "(1/(0.05 to 0.1))"
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},
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{
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"source": "Open Phil AI Fellowship — 2018 Class",
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"target": "Oxford University — Research on the Global Politics of AI",
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"distance": 32.87330541102063,
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"reasoning": "GovAI's grant seems moe counterfactual, their work more directly relevant\n",
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"squiggleString": "20 to 50"
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}
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]
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47
packages/utility-tools/input/input-list.json
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47
packages/utility-tools/input/input-list.json
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[
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{
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"name": "Michael Cohen and Dmitrii Krasheninnikov — Scholarship Support (2018)",
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"url": "https://docs.google.com/document/d/1VlN6I4Jauarx-0Fp7AC1ggeQ02AITsN7S56ffAO9NTU/edit#heading=h.jnlrsr63yliq",
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"amount": "$159k"
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},
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{
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"name": "AI Impacts — General Support (2018)",
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"url": "https://docs.google.com/document/d/1VlN6I4Jauarx-0Fp7AC1ggeQ02AITsN7S56ffAO9NTU/edit#heading=h.6m6tebpouzt1",
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"amount": "$100k"
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},
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{
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"name": "Oxford University — Research on the Global Politics of AI",
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"url": "https://docs.google.com/document/d/1VlN6I4Jauarx-0Fp7AC1ggeQ02AITsN7S56ffAO9NTU/edit#heading=h.c6r2m7i749ay",
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"amount": "$429k"
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},
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{
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"name": "Ought — General Support (2018)",
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"url": "https://docs.google.com/document/d/1VlN6I4Jauarx-0Fp7AC1ggeQ02AITsN7S56ffAO9NTU/edit#heading=h.xnzaj48k3fdb",
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"amount": "$525k"
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},
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{
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"name": "Machine Intelligence Research Institute — AI Safety Retraining Program",
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"url": "https://docs.google.com/document/d/1VlN6I4Jauarx-0Fp7AC1ggeQ02AITsN7S56ffAO9NTU/edit#heading=h.h922w7eh5rq6",
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"amount": "$150k"
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},
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{
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"name": "UC Berkeley — AI Safety Research (2018)",
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"url": "https://docs.google.com/document/d/1VlN6I4Jauarx-0Fp7AC1ggeQ02AITsN7S56ffAO9NTU/edit#heading=h.rrsbecbboed8",
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"amount": "$1.145M"
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},
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{
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"name": "Open Phil AI Fellowship — 2018 Class",
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"url": "https://docs.google.com/document/d/1VlN6I4Jauarx-0Fp7AC1ggeQ02AITsN7S56ffAO9NTU/edit#heading=h.p8xd58asz6a2",
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"amount": "$1.135M"
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},
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{
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"name": "Wilson Center — AI Policy Seminar Series",
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"url": "https://docs.google.com/document/d/1VlN6I4Jauarx-0Fp7AC1ggeQ02AITsN7S56ffAO9NTU/edit#heading=h.qiurhycylgi3",
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"amount": "$400k"
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},
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{
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"name": "Stanford University — Machine Learning Security Research Led by Dan Boneh and Florian Tramer",
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"url": "https://docs.google.com/document/d/1VlN6I4Jauarx-0Fp7AC1ggeQ02AITsN7S56ffAO9NTU/edit#heading=h.ox8adhpgba86",
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"amount": "$100k"
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}
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]
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95
packages/utility-tools/output/output.txt
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95
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Sorted output:
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[
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'Stanford University — Machine Learning Security Research Led by Dan Boneh and Florian Tramer',
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'Wilson Center — AI Policy Seminar Series',
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'UC Berkeley — AI Safety Research (2018)',
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'Machine Intelligence Research Institute — AI Safety Retraining Program',
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'Ought — General Support (2018)',
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'AI Impacts — General Support (2018)',
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'Open Phil AI Fellowship — 2018 Class',
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'Oxford University — Research on the Global Politics of AI',
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'Michael Cohen and Dmitrii Krasheninnikov — Scholarship Support (2018)'
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]
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Stanford University — Machine Learning Security Research Led by Dan Boneh and Florian Tramer
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Number of paths: 102
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Mean: 0.04340463625937361
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90% confidence interval: [
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3.102187977841675e-7,
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0.10636313508232977
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]
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3.902 seconds needed for processing
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Wilson Center — AI Policy Seminar Series
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Number of paths: 52
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Mean: 0.23923636834715892
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90% confidence interval: [
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0.0000012797707857581555,
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0.7647175734237982
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]
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0.855 seconds needed for processing
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UC Berkeley — AI Safety Research (2018)
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Number of paths: 37
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Mean: 0.6148765126821536
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90% confidence interval: [
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0.0000012857319777641759,
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2.4285898907477064
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]
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0.484 seconds needed for processing
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Machine Intelligence Research Institute — AI Safety Retraining Program
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Number of paths: 21
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Mean: 46.33576477417035
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90% confidence interval: [
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0.000022241280559831212,
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201.37264605399085
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]
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|
0.173 seconds needed for processing
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Ought — General Support (2018)
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Number of paths: 36
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||||||
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Mean: 63.37826067838051
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90% confidence interval: [
|
||||||
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0.00004411196776834627,
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145.5050535108514
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]
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0.412 seconds needed for processing
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AI Impacts — General Support (2018)
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Number of paths: 47
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||||||
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Mean: 9862.157135402398
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90% confidence interval: [
|
||||||
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0.018650934888088284,
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22307.090052203544
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]
|
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|
0.635 seconds needed for processing
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||||||
|
Open Phil AI Fellowship — 2018 Class
|
||||||
|
Number of paths: 372
|
||||||
|
Mean: 86301.01328794319
|
||||||
|
90% confidence interval: [
|
||||||
|
26.02179139839112,
|
||||||
|
115734.18190287006
|
||||||
|
]
|
||||||
|
35.203 seconds needed for processing
|
||||||
|
|
||||||
|
Oxford University — Research on the Global Politics of AI
|
||||||
|
Number of paths: 2261
|
||||||
|
Mean: 785779.6653748289
|
||||||
|
90% confidence interval: [
|
||||||
|
114.32195138741375,
|
||||||
|
960250.7929788446
|
||||||
|
]
|
||||||
|
1048.955 seconds needed for processing
|
||||||
|
|
||||||
|
Michael Cohen and Dmitrii Krasheninnikov — Scholarship Support (2018)
|
||||||
|
Number of paths: 5243
|
||||||
|
Mean: 1482642.2273006735
|
||||||
|
90% confidence interval: [
|
||||||
|
8.379381400123396,
|
||||||
|
330071.1150485886
|
||||||
|
]
|
||||||
|
5550.563 seconds needed for processing
|
||||||
|
|
||||||
|
|
||||||
15
packages/utility-tools/package.json
Normal file
15
packages/utility-tools/package.json
Normal file
|
|
@ -0,0 +1,15 @@
|
||||||
|
{
|
||||||
|
"name": "utility-tools",
|
||||||
|
"version": "0.0.1",
|
||||||
|
"description": "Process the json produced by utility-function-extractor.quantifieduncertainty.org",
|
||||||
|
"scripts": {
|
||||||
|
"start": "node --max-old-space-size=8192 src/index.js"
|
||||||
|
},
|
||||||
|
"type": "module",
|
||||||
|
"main": "src/index.js",
|
||||||
|
"author": "Nuño Sempere",
|
||||||
|
"license": "MIT",
|
||||||
|
"dependencies": {
|
||||||
|
"@quri/squiggle-lang": "^0.2.11"
|
||||||
|
}
|
||||||
|
}
|
||||||
54
packages/utility-tools/src/aggregatePaths.js
Normal file
54
packages/utility-tools/src/aggregatePaths.js
Normal file
|
|
@ -0,0 +1,54 @@
|
||||||
|
// EXPORTS
|
||||||
|
import { run } from "@quri/squiggle-lang";
|
||||||
|
|
||||||
|
export function aggregatePaths(pathsArray, nodes) {
|
||||||
|
pathsArray.map((paths, i) => {
|
||||||
|
console.log(nodes[i].name);
|
||||||
|
let multipliedDistributions = paths.map(
|
||||||
|
(path) => path.multipliedDistributionsInPath
|
||||||
|
);
|
||||||
|
console.group();
|
||||||
|
console.log("Number of paths: ", multipliedDistributions.length);
|
||||||
|
// console.log(multipliedDistributions.slice(0, 10));
|
||||||
|
let squiggleCode = `aggregatePath = mx(${multipliedDistributions
|
||||||
|
.filter((distributions) => distributions != undefined)
|
||||||
|
// .slice(0, 600)
|
||||||
|
.join(", ")})`;
|
||||||
|
|
||||||
|
// Start measuring time
|
||||||
|
let start = Date.now();
|
||||||
|
|
||||||
|
// Get the mean
|
||||||
|
let squiggleCodeForMean = squiggleCode + "\n" + "mean(aggregatePath)";
|
||||||
|
let meanAnswer = run(squiggleCodeForMean);
|
||||||
|
let mean = meanAnswer.value.value;
|
||||||
|
console.log(`Mean: ${mean}`);
|
||||||
|
|
||||||
|
// Get the 90% CI
|
||||||
|
let squiggleCodeFor90CI =
|
||||||
|
squiggleCode +
|
||||||
|
"\n" +
|
||||||
|
"[inv(aggregatePath, 0.05), inv(aggregatePath, 0.95)]";
|
||||||
|
let ci90percentAnswer = run(squiggleCodeFor90CI);
|
||||||
|
|
||||||
|
// Display output
|
||||||
|
let processCI90 = (answer) => {
|
||||||
|
let value = answer.value.value;
|
||||||
|
let lower = value[0].value;
|
||||||
|
let upper = value[1].value;
|
||||||
|
return [lower, upper];
|
||||||
|
};
|
||||||
|
console.log(
|
||||||
|
`90% confidence interval: ${JSON.stringify(
|
||||||
|
processCI90(ci90percentAnswer),
|
||||||
|
null,
|
||||||
|
4
|
||||||
|
)}`
|
||||||
|
);
|
||||||
|
// Stop measuring time
|
||||||
|
let end = Date.now();
|
||||||
|
console.log(`${(end - start) / 1000} seconds needed for processing`);
|
||||||
|
console.groupEnd();
|
||||||
|
console.log("");
|
||||||
|
});
|
||||||
|
}
|
||||||
314
packages/utility-tools/src/findPaths.js
Normal file
314
packages/utility-tools/src/findPaths.js
Normal file
|
|
@ -0,0 +1,314 @@
|
||||||
|
/* Functions */
|
||||||
|
|
||||||
|
const pathPlusLink = (pathSoFar, link) => {
|
||||||
|
return [...pathSoFar, link];
|
||||||
|
// previously: pathSoFar.concat(link).flat()
|
||||||
|
// Note that concat is not destructive
|
||||||
|
// https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/concat
|
||||||
|
};
|
||||||
|
|
||||||
|
const findElementPosition = (name, nodes) => {
|
||||||
|
let node = nodes.find((node) => node.name == name);
|
||||||
|
return node.position;
|
||||||
|
};
|
||||||
|
|
||||||
|
async function findPathsWithoutPrunning({
|
||||||
|
sourceElementName,
|
||||||
|
targetElementName,
|
||||||
|
maxLengthOfPath,
|
||||||
|
pathSoFar,
|
||||||
|
links,
|
||||||
|
nodes,
|
||||||
|
}) {
|
||||||
|
// This is an un-used function which might make findPaths more understandable
|
||||||
|
// It uses the same recursive functionality
|
||||||
|
// but has no path prunning
|
||||||
|
let paths = [];
|
||||||
|
|
||||||
|
/* Path traversing */
|
||||||
|
if (maxLengthOfPath > 0) {
|
||||||
|
for (let link of links) {
|
||||||
|
// vs let link of linksNow in findPaths
|
||||||
|
if (
|
||||||
|
(link.source == sourceElementName &&
|
||||||
|
link.target == targetElementName) ||
|
||||||
|
(link.source == targetElementName && link.target == sourceElementName)
|
||||||
|
) {
|
||||||
|
// direct Path
|
||||||
|
let newPath = pathPlusLink(pathSoFar, link);
|
||||||
|
paths.push(newPath);
|
||||||
|
} else if (link.source == sourceElementName) {
|
||||||
|
let newPaths = await findPaths({
|
||||||
|
pathSoFar: pathPlusLink(pathSoFar, link),
|
||||||
|
maxLengthOfPath: maxLengthOfPath - 1,
|
||||||
|
sourceElementName: link.target,
|
||||||
|
targetElementName,
|
||||||
|
links: links, // vs let link of linksInner in findPaths
|
||||||
|
nodes,
|
||||||
|
});
|
||||||
|
if (newPaths.length != 0) {
|
||||||
|
paths.push(...newPaths);
|
||||||
|
}
|
||||||
|
} else if (link.target == sourceElementName) {
|
||||||
|
let newPaths = await findPaths({
|
||||||
|
pathSoFar: pathPlusLink(pathSoFar, link),
|
||||||
|
maxLengthOfPath: maxLengthOfPath - 1,
|
||||||
|
sourceElementName: link.source,
|
||||||
|
targetElementName,
|
||||||
|
links: links, // vs let link of linksInner in findPaths
|
||||||
|
nodes,
|
||||||
|
});
|
||||||
|
if (newPaths.length != 0) {
|
||||||
|
paths.push(...newPaths);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
return paths;
|
||||||
|
}
|
||||||
|
|
||||||
|
async function findPaths({
|
||||||
|
sourceElementName,
|
||||||
|
sourceElementPosition,
|
||||||
|
targetElementName,
|
||||||
|
targetElementPosition,
|
||||||
|
maxLengthOfPath,
|
||||||
|
pathSoFar,
|
||||||
|
links,
|
||||||
|
nodes,
|
||||||
|
}) {
|
||||||
|
// This is the key path finding function
|
||||||
|
// It finds the path from one element to another, recursively
|
||||||
|
// It used to be very computationally expensive until I added
|
||||||
|
// the path prunning step: Instead of traversing all links,
|
||||||
|
// traverse only those which are between the origin and target links
|
||||||
|
// this requires us to have a notion of "between"
|
||||||
|
|
||||||
|
let paths = [];
|
||||||
|
|
||||||
|
/* Path prunning*/
|
||||||
|
let minPos = Math.min(sourceElementPosition, targetElementPosition);
|
||||||
|
let maxPos = Math.max(sourceElementPosition, targetElementPosition);
|
||||||
|
let linksInner = links.filter(
|
||||||
|
(link) =>
|
||||||
|
minPos <= link.sourceElementPosition &&
|
||||||
|
link.sourceElementPosition <= maxPos &&
|
||||||
|
minPos <= link.targetElementPosition &&
|
||||||
|
link.targetElementPosition <= maxPos
|
||||||
|
);
|
||||||
|
let linksNow = linksInner.filter(
|
||||||
|
(link) =>
|
||||||
|
link.source == sourceElementName || link.target == sourceElementName
|
||||||
|
);
|
||||||
|
|
||||||
|
/* Path traversing */
|
||||||
|
if (maxLengthOfPath > 0) {
|
||||||
|
for (let link of linksNow) {
|
||||||
|
if (
|
||||||
|
(link.source == sourceElementName &&
|
||||||
|
link.target == targetElementName) ||
|
||||||
|
(link.source == targetElementName && link.target == sourceElementName)
|
||||||
|
) {
|
||||||
|
// direct Path
|
||||||
|
let newPath = pathPlusLink(pathSoFar, link);
|
||||||
|
paths.push(newPath);
|
||||||
|
} else if (link.source == sourceElementName) {
|
||||||
|
let newPaths = await findPaths({
|
||||||
|
pathSoFar: pathPlusLink(pathSoFar, link),
|
||||||
|
maxLengthOfPath: maxLengthOfPath - 1,
|
||||||
|
sourceElementPosition: link.sourceElementPosition,
|
||||||
|
sourceElementName: link.target,
|
||||||
|
targetElementName,
|
||||||
|
targetElementPosition,
|
||||||
|
links: linksInner,
|
||||||
|
nodes,
|
||||||
|
});
|
||||||
|
if (newPaths.length != 0) {
|
||||||
|
paths.push(...newPaths);
|
||||||
|
}
|
||||||
|
} else if (link.target == sourceElementName) {
|
||||||
|
let newPaths = await findPaths({
|
||||||
|
pathSoFar: pathPlusLink(pathSoFar, link),
|
||||||
|
maxLengthOfPath: maxLengthOfPath - 1,
|
||||||
|
sourceElementPosition: link.sourceElementPosition,
|
||||||
|
sourceElementName: link.source,
|
||||||
|
targetElementPosition,
|
||||||
|
targetElementName,
|
||||||
|
links: linksInner,
|
||||||
|
nodes,
|
||||||
|
});
|
||||||
|
if (newPaths.length != 0) {
|
||||||
|
paths.push(...newPaths);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
return paths;
|
||||||
|
}
|
||||||
|
|
||||||
|
async function findExpectedValuesAndDistributionsForElement({
|
||||||
|
sourceElementName,
|
||||||
|
sourceElementPosition,
|
||||||
|
targetElementName,
|
||||||
|
targetElementPosition,
|
||||||
|
nodes,
|
||||||
|
links,
|
||||||
|
}) {
|
||||||
|
// This function gets all possible paths using findPaths
|
||||||
|
// then orders them correctly in the for loop
|
||||||
|
// (by flipping the distance to 1/distance when necessary)
|
||||||
|
// and then gets the array of weights for the different paths.
|
||||||
|
/*
|
||||||
|
console.log(
|
||||||
|
`findDistance@findPaths.js from ${sourceElementPosition} to ${targetElementPosition}`
|
||||||
|
);
|
||||||
|
*/
|
||||||
|
let maxLengthOfPath = Math.abs(sourceElementPosition - targetElementPosition);
|
||||||
|
let paths = await findPaths({
|
||||||
|
sourceElementName,
|
||||||
|
sourceElementPosition,
|
||||||
|
targetElementName,
|
||||||
|
targetElementPosition,
|
||||||
|
links,
|
||||||
|
nodes,
|
||||||
|
maxLengthOfPath,
|
||||||
|
pathSoFar: [],
|
||||||
|
});
|
||||||
|
|
||||||
|
let processedPaths = [];
|
||||||
|
for (let path of paths) {
|
||||||
|
let currentSource = sourceElementName;
|
||||||
|
let expectedRelativeValue = 1;
|
||||||
|
let multipliedDistributionsInPath = 1;
|
||||||
|
let distances = [];
|
||||||
|
for (let element of path) {
|
||||||
|
let distance = 0;
|
||||||
|
let anotherDistributionInPath = 1;
|
||||||
|
if (element.source == currentSource) {
|
||||||
|
distance = element.distance;
|
||||||
|
anotherDistributionInPath = element.squiggleString;
|
||||||
|
currentSource = element.target;
|
||||||
|
} else if (element.target == currentSource) {
|
||||||
|
distance = 1 / Number(element.distance);
|
||||||
|
anotherDistributionInPath = `1 / (${element.squiggleString})`;
|
||||||
|
currentSource = element.source;
|
||||||
|
}
|
||||||
|
expectedRelativeValue = expectedRelativeValue * distance;
|
||||||
|
distances.push(distance);
|
||||||
|
multipliedDistributionsInPath = `${multipliedDistributionsInPath} * (${anotherDistributionInPath})`;
|
||||||
|
}
|
||||||
|
processedPaths.push({
|
||||||
|
distances,
|
||||||
|
expectedRelativeValue,
|
||||||
|
multipliedDistributionsInPath,
|
||||||
|
// path,
|
||||||
|
});
|
||||||
|
}
|
||||||
|
return processedPaths;
|
||||||
|
|
||||||
|
/*
|
||||||
|
let expectedValues = [];
|
||||||
|
for (let path of paths) {
|
||||||
|
let currentSource = sourceElementName;
|
||||||
|
let weight = 1;
|
||||||
|
for (let element of path) {
|
||||||
|
let distance = 0;
|
||||||
|
if (element.source == currentSource) {
|
||||||
|
distance = element.distance;
|
||||||
|
currentSource = element.target;
|
||||||
|
} else if (element.target == currentSource) {
|
||||||
|
distance = 1 / Number(element.distance);
|
||||||
|
currentSource = element.source;
|
||||||
|
}
|
||||||
|
weight = weight * distance;
|
||||||
|
}
|
||||||
|
expectedValues.push(weight);
|
||||||
|
}
|
||||||
|
|
||||||
|
let distributionalForm = [];
|
||||||
|
for (let path of paths) {
|
||||||
|
let currentSource = sourceElementName;
|
||||||
|
let multipliedDistributionsInPath = 1;
|
||||||
|
for (let element of path) {
|
||||||
|
let anotherDistributionInPath;
|
||||||
|
if (element.source == currentSource) {
|
||||||
|
distributionInPath = element.squiggleString;
|
||||||
|
currentSource = element.target;
|
||||||
|
} else if (element.target == currentSource) {
|
||||||
|
distance = `1 / (${element.squiggleString})`;
|
||||||
|
currentSource = element.source;
|
||||||
|
}
|
||||||
|
multipliedDistributionsInPath = `${multipliedDistributionsInPath} * (${anotherDistributionInPath})`;
|
||||||
|
}
|
||||||
|
distributionalForm.push(multipliedDistributionsInPath);
|
||||||
|
}
|
||||||
|
return {
|
||||||
|
expectedValues,
|
||||||
|
distributionalForm,
|
||||||
|
// paths,
|
||||||
|
};
|
||||||
|
*/
|
||||||
|
}
|
||||||
|
|
||||||
|
async function findDistancesFromAllElementsToReferencePoint({
|
||||||
|
nodes,
|
||||||
|
links,
|
||||||
|
referenceElement,
|
||||||
|
}) {
|
||||||
|
// Simple wrapper function around findDistance
|
||||||
|
// Needs to find the reference point first
|
||||||
|
// console.log("findDistancesForAllElements@findPaths.js");
|
||||||
|
/* Get or build reference element */
|
||||||
|
let midpoint = Math.round(nodes.length / 2);
|
||||||
|
referenceElement = referenceElement || nodes[midpoint];
|
||||||
|
// console.log(`referenceElement.position: ${referenceElement.position}`);
|
||||||
|
|
||||||
|
/* Get distances. */
|
||||||
|
let distancesArray = nodes.map((node) => {
|
||||||
|
if (node.name == referenceElement.name) {
|
||||||
|
return [1];
|
||||||
|
} else {
|
||||||
|
// console.log("node");
|
||||||
|
// console.log(node);
|
||||||
|
let expectedValuesAndDistributionsForElement =
|
||||||
|
findExpectedValuesAndDistributionsForElement({
|
||||||
|
sourceElementName: referenceElement.name,
|
||||||
|
sourceElementPosition: referenceElement.position,
|
||||||
|
targetElementName: node.name,
|
||||||
|
targetElementPosition: node.position,
|
||||||
|
nodes: nodes,
|
||||||
|
links: links,
|
||||||
|
});
|
||||||
|
return expectedValuesAndDistributionsForElement;
|
||||||
|
}
|
||||||
|
});
|
||||||
|
distancesArray = await Promise.all(distancesArray);
|
||||||
|
return distancesArray;
|
||||||
|
}
|
||||||
|
|
||||||
|
export async function findDistancesFromAllElementsToAllReferencePoints({
|
||||||
|
nodes,
|
||||||
|
links,
|
||||||
|
}) {
|
||||||
|
let nodes2 = nodes.map((node) => ({ ...node, isReferenceValue: false }));
|
||||||
|
let distancesForAllElements = Array(nodes.length);
|
||||||
|
for (let i = 0; i < nodes.length; i++) {
|
||||||
|
distancesForAllElements[i] = [];
|
||||||
|
}
|
||||||
|
for (let node of nodes2) {
|
||||||
|
let distancesFromNode = await findDistancesFromAllElementsToReferencePoint({
|
||||||
|
nodes: nodes2,
|
||||||
|
links,
|
||||||
|
referenceElement: node,
|
||||||
|
});
|
||||||
|
// alert(`distancesFromNode.length: ${distancesFromNode.length}`);
|
||||||
|
distancesForAllElements = distancesForAllElements.map((arr, i) => {
|
||||||
|
return !!arr && arr.length > 0
|
||||||
|
? [...arr, ...distancesFromNode[i]]
|
||||||
|
: distancesFromNode[i];
|
||||||
|
});
|
||||||
|
}
|
||||||
|
return distancesForAllElements;
|
||||||
|
}
|
||||||
60
packages/utility-tools/src/index.js
Normal file
60
packages/utility-tools/src/index.js
Normal file
|
|
@ -0,0 +1,60 @@
|
||||||
|
// IMPORTS
|
||||||
|
import * as fs from "fs";
|
||||||
|
import { mergeSort } from "./mergeSort.js";
|
||||||
|
import { findDistancesFromAllElementsToAllReferencePoints } from "./findPaths.js";
|
||||||
|
import { aggregatePaths } from "./aggregatePaths.js";
|
||||||
|
|
||||||
|
// DEFS
|
||||||
|
const inputLinksFilePath = "./input/input-links.json";
|
||||||
|
const inputListFilePath = "./input/input-list.json";
|
||||||
|
const outputFilePath = "./output/output.json";
|
||||||
|
|
||||||
|
// HELPERS
|
||||||
|
|
||||||
|
const findElementPosition = (name, orderedList) => {
|
||||||
|
let node = orderedList.find((node) => node.name == name);
|
||||||
|
return node.position;
|
||||||
|
};
|
||||||
|
|
||||||
|
// MAIN
|
||||||
|
async function main() {
|
||||||
|
// read file
|
||||||
|
const inputLinksAsString = fs.readFileSync(inputLinksFilePath);
|
||||||
|
const inputListAsString = fs.readFileSync(inputListFilePath);
|
||||||
|
const links = JSON.parse(inputLinksAsString);
|
||||||
|
const list = JSON.parse(inputListAsString);
|
||||||
|
|
||||||
|
// process file
|
||||||
|
// const sources = links.map((link) => link.source);
|
||||||
|
// const targets = links.map((link) => link.target);
|
||||||
|
// const list = [...new Set([...sources, ...targets])];
|
||||||
|
|
||||||
|
// Merge sort
|
||||||
|
let mergeSortOutput = mergeSort({ list, links });
|
||||||
|
// console.log("Output: ");
|
||||||
|
console.log("Sorted output: ");
|
||||||
|
console.group();
|
||||||
|
console.log(mergeSortOutput.map((x) => x.name));
|
||||||
|
console.groupEnd();
|
||||||
|
console.log("");
|
||||||
|
|
||||||
|
// find Paths
|
||||||
|
let nodes = mergeSortOutput.map((element, i) => ({
|
||||||
|
...element,
|
||||||
|
position: i,
|
||||||
|
}));
|
||||||
|
const linksWithPosition = links.map((link) => ({
|
||||||
|
...link,
|
||||||
|
sourceElementPosition: findElementPosition(link.source, nodes),
|
||||||
|
targetElementPosition: findElementPosition(link.target, nodes),
|
||||||
|
}));
|
||||||
|
let paths = await findDistancesFromAllElementsToAllReferencePoints({
|
||||||
|
nodes,
|
||||||
|
links: linksWithPosition,
|
||||||
|
});
|
||||||
|
// console.log(JSON.stringify(paths, null, 4));
|
||||||
|
|
||||||
|
// Aggregate paths.
|
||||||
|
let aggregatedPaths = aggregatePaths(paths, nodes);
|
||||||
|
}
|
||||||
|
main();
|
||||||
115
packages/utility-tools/src/mergeSort.js
Normal file
115
packages/utility-tools/src/mergeSort.js
Normal file
|
|
@ -0,0 +1,115 @@
|
||||||
|
const errorMsg = "No link found; unable to proceed";
|
||||||
|
|
||||||
|
function isFirstElementGreater(links, element1, element2) {
|
||||||
|
const relevantComparisons = links.filter(
|
||||||
|
(link) =>
|
||||||
|
(link.source == element1.name && link.target == element2.name) ||
|
||||||
|
(link.source == element2.name && link.target == element1.name)
|
||||||
|
);
|
||||||
|
if (relevantComparisons.length == 0) {
|
||||||
|
// console.log(element1, "vs", element2);
|
||||||
|
return errorMsg;
|
||||||
|
} else {
|
||||||
|
const firstLink = relevantComparisons[0];
|
||||||
|
// console.log(firstLink);
|
||||||
|
const firstElementFirst =
|
||||||
|
firstLink.source == element1.name && firstLink.target == element2.name
|
||||||
|
? true
|
||||||
|
: false;
|
||||||
|
const distanceIsGreaterThanOne = Number(firstLink.distance) > 1;
|
||||||
|
const answer =
|
||||||
|
(firstElementFirst && !distanceIsGreaterThanOne) ||
|
||||||
|
(!firstElementFirst && distanceIsGreaterThanOne);
|
||||||
|
return !answer;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
function merge(links, left, right) {
|
||||||
|
let sortedArr = []; // the sorted elements will go here
|
||||||
|
|
||||||
|
while (left.length && right.length) {
|
||||||
|
// insert the biggest element to the sortedArr
|
||||||
|
let link = isFirstElementGreater(links, left[0], right[0]);
|
||||||
|
if (link == errorMsg) {
|
||||||
|
// console.log("Error@:");
|
||||||
|
// console.group();
|
||||||
|
// console.log({ left, right });
|
||||||
|
// console.groupEnd();
|
||||||
|
return errorMsg;
|
||||||
|
} else if (link) {
|
||||||
|
// left[0] > right[0]
|
||||||
|
sortedArr.push(left.shift());
|
||||||
|
} else {
|
||||||
|
sortedArr.push(right.shift());
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// use spread operator and create a new array, combining the three arrays
|
||||||
|
return [...sortedArr, ...left, ...right]; // if they don't have the same size, the remaining ones will be greater than the ones before
|
||||||
|
}
|
||||||
|
|
||||||
|
export function mergeSortInner({ list, links }) {
|
||||||
|
// console.log({ l: list.length });
|
||||||
|
if (list == errorMsg) {
|
||||||
|
return errorMsg;
|
||||||
|
}
|
||||||
|
const half = list.length / 2;
|
||||||
|
|
||||||
|
// the base case is list length <=1
|
||||||
|
if (list.length <= 1) {
|
||||||
|
return list;
|
||||||
|
}
|
||||||
|
|
||||||
|
const left = list.slice(0, half); // the first half of the list
|
||||||
|
const right = list.slice(half, list.length); // Note that splice is destructive.
|
||||||
|
let orderedFirstHalf = mergeSortInner({ list: left, links });
|
||||||
|
let orderedSecondHalf = mergeSortInner({ list: right, links });
|
||||||
|
if (orderedFirstHalf != errorMsg && orderedSecondHalf != errorMsg) {
|
||||||
|
let result = merge(links, orderedFirstHalf, orderedSecondHalf);
|
||||||
|
return result;
|
||||||
|
} else {
|
||||||
|
return errorMsg;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export function mergeSort({ list, links }) {
|
||||||
|
// Try normally
|
||||||
|
let answer = mergeSortInner({ list, links });
|
||||||
|
if (answer != errorMsg) return answer;
|
||||||
|
|
||||||
|
// otherwise
|
||||||
|
let permutation = list.slice();
|
||||||
|
var length = list.length;
|
||||||
|
// let result = [list.slice()];
|
||||||
|
let c = new Array(length).fill(0);
|
||||||
|
let i = 1;
|
||||||
|
let k;
|
||||||
|
let p;
|
||||||
|
let counter = 0;
|
||||||
|
|
||||||
|
while (i < length) {
|
||||||
|
counter++;
|
||||||
|
if (counter > 10) console.log(counter);
|
||||||
|
if (c[i] < i) {
|
||||||
|
k = i % 2 && c[i];
|
||||||
|
p = permutation[i];
|
||||||
|
permutation[i] = permutation[k];
|
||||||
|
permutation[k] = p;
|
||||||
|
// ++c[i];
|
||||||
|
c[i] = c[i] + 1;
|
||||||
|
i = 1;
|
||||||
|
let answer = mergeSortInner({ list: permutation, links });
|
||||||
|
if (answer != errorMsg) {
|
||||||
|
console.log(answer);
|
||||||
|
return answer;
|
||||||
|
}
|
||||||
|
// result.push(permutation.slice());
|
||||||
|
} else {
|
||||||
|
c[i] = 0;
|
||||||
|
i = i + 1;
|
||||||
|
// ++i;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
console.log("Error");
|
||||||
|
return "Error: The original list was wrongly ordered, and trying permutations didn't work";
|
||||||
|
}
|
||||||
498
packages/utility-tools/yarn.lock
Normal file
498
packages/utility-tools/yarn.lock
Normal file
|
|
@ -0,0 +1,498 @@
|
||||||
|
# THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
|
||||||
|
# yarn lockfile v1
|
||||||
|
|
||||||
|
|
||||||
|
"@babel/runtime@^7.18.3":
|
||||||
|
version "7.18.3"
|
||||||
|
resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.18.3.tgz#c7b654b57f6f63cf7f8b418ac9ca04408c4579f4"
|
||||||
|
integrity sha512-38Y8f7YUhce/K7RMwTp7m0uCumpv9hZkitCbBClqQIow1qSbCvGkcegKOXpEWCQLfWmevgRiWokZ1GkpfhbZug==
|
||||||
|
dependencies:
|
||||||
|
regenerator-runtime "^0.13.4"
|
||||||
|
|
||||||
|
"@quri/squiggle-lang@^0.2.11":
|
||||||
|
version "0.2.11"
|
||||||
|
resolved "https://registry.yarnpkg.com/@quri/squiggle-lang/-/squiggle-lang-0.2.11.tgz#fc9df37c1c5537b4da099c71c8249373210cfadf"
|
||||||
|
integrity sha512-n879EbSS0eWWEl+s38XmB4xDy18wOJSk3t7moCxIGDhUc70aH1kgNhg56M+M57a8f55MbIhhr7kAVb9RbqqhuA==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/stats" "^0.0.13"
|
||||||
|
jstat "^1.9.5"
|
||||||
|
lodash "^4.17.21"
|
||||||
|
mathjs "^10.6.0"
|
||||||
|
pdfast "^0.2.0"
|
||||||
|
rescript "^9.1.4"
|
||||||
|
|
||||||
|
"@stdlib/array@^0.0.x":
|
||||||
|
version "0.0.12"
|
||||||
|
resolved "https://registry.yarnpkg.com/@stdlib/array/-/array-0.0.12.tgz#12f40ab95bb36d424cdad991f29fc3cb491ee29e"
|
||||||
|
integrity sha512-nDksiuvRC1dSTHrf5yOGQmlRwAzSKV8MdFQwFSvLbZGGhi5Y4hExqea5HloLgNVouVs8lnAFi2oubSM4Mc7YAg==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/assert" "^0.0.x"
|
||||||
|
"@stdlib/blas" "^0.0.x"
|
||||||
|
"@stdlib/complex" "^0.0.x"
|
||||||
|
"@stdlib/constants" "^0.0.x"
|
||||||
|
"@stdlib/math" "^0.0.x"
|
||||||
|
"@stdlib/symbol" "^0.0.x"
|
||||||
|
"@stdlib/types" "^0.0.x"
|
||||||
|
"@stdlib/utils" "^0.0.x"
|
||||||
|
|
||||||
|
"@stdlib/assert@^0.0.x":
|
||||||
|
version "0.0.12"
|
||||||
|
resolved "https://registry.yarnpkg.com/@stdlib/assert/-/assert-0.0.12.tgz#1648c9016e5041291f55a6464abcc4069c5103ce"
|
||||||
|
integrity sha512-38FxFf+ZoQZbdc+m09UsWtaCmzd/2e7im0JOaaFYE7icmRfm+4KiE9BRvBT4tIn7ioLB2f9PsBicKjIsf+tY1w==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/array" "^0.0.x"
|
||||||
|
"@stdlib/cli" "^0.0.x"
|
||||||
|
"@stdlib/complex" "^0.0.x"
|
||||||
|
"@stdlib/constants" "^0.0.x"
|
||||||
|
"@stdlib/fs" "^0.0.x"
|
||||||
|
"@stdlib/math" "^0.0.x"
|
||||||
|
"@stdlib/ndarray" "^0.0.x"
|
||||||
|
"@stdlib/number" "^0.0.x"
|
||||||
|
"@stdlib/os" "^0.0.x"
|
||||||
|
"@stdlib/process" "^0.0.x"
|
||||||
|
"@stdlib/regexp" "^0.0.x"
|
||||||
|
"@stdlib/streams" "^0.0.x"
|
||||||
|
"@stdlib/string" "^0.0.x"
|
||||||
|
"@stdlib/symbol" "^0.0.x"
|
||||||
|
"@stdlib/types" "^0.0.x"
|
||||||
|
"@stdlib/utils" "^0.0.x"
|
||||||
|
|
||||||
|
"@stdlib/bigint@^0.0.x":
|
||||||
|
version "0.0.11"
|
||||||
|
resolved "https://registry.yarnpkg.com/@stdlib/bigint/-/bigint-0.0.11.tgz#c416a1d727001c55f4897e6424124199d638f2fd"
|
||||||
|
integrity sha512-uz0aYDLABAYyqxaCSHYbUt0yPkXYUCR7TrVvHN+UUD3i8FZ02ZKcLO+faKisDyxKEoSFTNtn3Ro8Ir5ebOlVXQ==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/utils" "^0.0.x"
|
||||||
|
|
||||||
|
"@stdlib/blas@^0.0.x":
|
||||||
|
version "0.0.12"
|
||||||
|
resolved "https://registry.yarnpkg.com/@stdlib/blas/-/blas-0.0.12.tgz#7e93e42b4621fc6903bf63264f045047333536c2"
|
||||||
|
integrity sha512-nWY749bWceuoWQ7gz977blCwR7lyQ/rsIXVO4b600h+NFpeA2i/ea7MYC680utIbeu2cnDWHdglBPoK535VAzA==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/array" "^0.0.x"
|
||||||
|
"@stdlib/assert" "^0.0.x"
|
||||||
|
"@stdlib/math" "^0.0.x"
|
||||||
|
"@stdlib/number" "^0.0.x"
|
||||||
|
"@stdlib/types" "^0.0.x"
|
||||||
|
"@stdlib/utils" "^0.0.x"
|
||||||
|
|
||||||
|
"@stdlib/buffer@^0.0.x":
|
||||||
|
version "0.0.11"
|
||||||
|
resolved "https://registry.yarnpkg.com/@stdlib/buffer/-/buffer-0.0.11.tgz#6137b00845e6c905181cc7ebfae9f7e47c01b0ce"
|
||||||
|
integrity sha512-Jeie5eDDa1tVuRcuU+cBXI/oOXSmMxUUccZpqXzgYe0IO8QSNtNxv9mUTzJk/m5wH+lmLoDvNxzPpOH9TODjJg==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/array" "^0.0.x"
|
||||||
|
"@stdlib/assert" "^0.0.x"
|
||||||
|
"@stdlib/process" "^0.0.x"
|
||||||
|
"@stdlib/types" "^0.0.x"
|
||||||
|
"@stdlib/utils" "^0.0.x"
|
||||||
|
|
||||||
|
"@stdlib/cli@^0.0.x":
|
||||||
|
version "0.0.10"
|
||||||
|
resolved "https://registry.yarnpkg.com/@stdlib/cli/-/cli-0.0.10.tgz#28e2fbe6865d7f5cd15b7dc5846c99bd3b91674f"
|
||||||
|
integrity sha512-OITGaxG46kwK799+NuOd/+ccosJ9koVuQBC610DDJv0ZJf8mD7sbjGXrmue9C4EOh8MP7Vm/6HN14BojX8oTCg==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/utils" "^0.0.x"
|
||||||
|
minimist "^1.2.0"
|
||||||
|
|
||||||
|
"@stdlib/complex@^0.0.x":
|
||||||
|
version "0.0.12"
|
||||||
|
resolved "https://registry.yarnpkg.com/@stdlib/complex/-/complex-0.0.12.tgz#3afbc190cd0a9b37fc7c6e508c3aa9fda9106944"
|
||||||
|
integrity sha512-UbZBdaUxT2G+lsTIrVlRZwx2IRY6GXnVILggeejsIVxHSuK+oTyapfetcAv0FJFLP+Rrr+ZzrN4b9G3hBw6NHA==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/array" "^0.0.x"
|
||||||
|
"@stdlib/assert" "^0.0.x"
|
||||||
|
"@stdlib/types" "^0.0.x"
|
||||||
|
"@stdlib/utils" "^0.0.x"
|
||||||
|
|
||||||
|
"@stdlib/constants@^0.0.x":
|
||||||
|
version "0.0.11"
|
||||||
|
resolved "https://registry.yarnpkg.com/@stdlib/constants/-/constants-0.0.11.tgz#78cd56d6c2982b30264843c3d75bde7125e90cd2"
|
||||||
|
integrity sha512-cWKy0L9hXHUQTvFzdPkTvZnn/5Pjv7H4UwY0WC1rLt+A5CxFDJKjvnIi9ypSzJS3CAiGl1ZaHCdadoqXhNdkUg==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/array" "^0.0.x"
|
||||||
|
"@stdlib/assert" "^0.0.x"
|
||||||
|
"@stdlib/number" "^0.0.x"
|
||||||
|
"@stdlib/utils" "^0.0.x"
|
||||||
|
|
||||||
|
"@stdlib/fs@^0.0.x":
|
||||||
|
version "0.0.12"
|
||||||
|
resolved "https://registry.yarnpkg.com/@stdlib/fs/-/fs-0.0.12.tgz#662365fd5846a51f075724b4f2888ae88441b70d"
|
||||||
|
integrity sha512-zcDLbt39EEM3M3wJW6luChS53B8T+TMJkjs2526UpKJ71O0/0adR57cI7PfCpkMd33d05uM7GM+leEj4eks4Cw==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/array" "^0.0.x"
|
||||||
|
"@stdlib/assert" "^0.0.x"
|
||||||
|
"@stdlib/cli" "^0.0.x"
|
||||||
|
"@stdlib/math" "^0.0.x"
|
||||||
|
"@stdlib/process" "^0.0.x"
|
||||||
|
"@stdlib/string" "^0.0.x"
|
||||||
|
"@stdlib/utils" "^0.0.x"
|
||||||
|
debug "^2.6.9"
|
||||||
|
|
||||||
|
"@stdlib/math@^0.0.x":
|
||||||
|
version "0.0.11"
|
||||||
|
resolved "https://registry.yarnpkg.com/@stdlib/math/-/math-0.0.11.tgz#eb6638bc03a20fbd6727dd5b977ee0170bda4649"
|
||||||
|
integrity sha512-qI78sR1QqGjHj8k/aAqkZ51Su2fyBvaR/jMKQqcB/ML8bpYpf+QGlGvTty5Qdru/wpqds4kVFOVbWGcNFIV2+Q==
|
||||||
|
dependencies:
|
||||||
|
"@stdlib/assert" "^0.0.x"
|
||||||
|
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||||||
|
integrity sha512-VLghIWNM6ELQzo7zwmcg0NmTVyWKYjvIeM83yjp0wRDTmUnrM678fQbcKBo6n2CJEF0szoG//ytg+TKla89ALQ==
|
||||||
|
|
||||||
|
javascript-natural-sort@^0.7.1:
|
||||||
|
version "0.7.1"
|
||||||
|
resolved "https://registry.yarnpkg.com/javascript-natural-sort/-/javascript-natural-sort-0.7.1.tgz#f9e2303d4507f6d74355a73664d1440fb5a0ef59"
|
||||||
|
integrity sha512-nO6jcEfZWQXDhOiBtG2KvKyEptz7RVbpGP4vTD2hLBdmNQSsCiicO2Ioinv6UI4y9ukqnBpy+XZ9H6uLNgJTlw==
|
||||||
|
|
||||||
|
jstat@^1.9.5:
|
||||||
|
version "1.9.5"
|
||||||
|
resolved "https://registry.yarnpkg.com/jstat/-/jstat-1.9.5.tgz#9941741566f683624ddeb56f5ba60ed8c29b374e"
|
||||||
|
integrity sha512-cWnp4vObF5GmB2XsIEzxI/1ZTcYlcfNqxQ/9Fp5KFUa0Jf/4tO0ZkGVnqoEHDisJvYgvn5n3eWZbd2xTVJJPUQ==
|
||||||
|
|
||||||
|
lodash@^4.17.21:
|
||||||
|
version "4.17.21"
|
||||||
|
resolved "https://registry.yarnpkg.com/lodash/-/lodash-4.17.21.tgz#679591c564c3bffaae8454cf0b3df370c3d6911c"
|
||||||
|
integrity sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==
|
||||||
|
|
||||||
|
mathjs@^10.6.0:
|
||||||
|
version "10.6.1"
|
||||||
|
resolved "https://registry.yarnpkg.com/mathjs/-/mathjs-10.6.1.tgz#95b34178eed65cbf7a63d35c468ad3ac912f7ddf"
|
||||||
|
integrity sha512-8iZp6uUKKBoCFoUHze9ydsrSji9/IOEzMhwURyoQXaLL1+ILEZnraw4KzZnUBt/XN6lPJPV+7JO94oil3AmosQ==
|
||||||
|
dependencies:
|
||||||
|
"@babel/runtime" "^7.18.3"
|
||||||
|
complex.js "^2.1.1"
|
||||||
|
decimal.js "^10.3.1"
|
||||||
|
escape-latex "^1.2.0"
|
||||||
|
fraction.js "^4.2.0"
|
||||||
|
javascript-natural-sort "^0.7.1"
|
||||||
|
seedrandom "^3.0.5"
|
||||||
|
tiny-emitter "^2.1.0"
|
||||||
|
typed-function "^2.1.0"
|
||||||
|
|
||||||
|
minimist@^1.2.0:
|
||||||
|
version "1.2.6"
|
||||||
|
resolved "https://registry.yarnpkg.com/minimist/-/minimist-1.2.6.tgz#8637a5b759ea0d6e98702cfb3a9283323c93af44"
|
||||||
|
integrity sha512-Jsjnk4bw3YJqYzbdyBiNsPWHPfO++UGG749Cxs6peCu5Xg4nrena6OVxOYxrQTqww0Jmwt+Ref8rggumkTLz9Q==
|
||||||
|
|
||||||
|
ms@2.0.0:
|
||||||
|
version "2.0.0"
|
||||||
|
resolved "https://registry.yarnpkg.com/ms/-/ms-2.0.0.tgz#5608aeadfc00be6c2901df5f9861788de0d597c8"
|
||||||
|
integrity sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==
|
||||||
|
|
||||||
|
pdfast@^0.2.0:
|
||||||
|
version "0.2.0"
|
||||||
|
resolved "https://registry.yarnpkg.com/pdfast/-/pdfast-0.2.0.tgz#8cbc556e1bf2522177787c0de2e0d4373ba885c9"
|
||||||
|
integrity sha512-cq6TTu6qKSFUHwEahi68k/kqN2mfepjkGrG9Un70cgdRRKLKY6Rf8P8uvP2NvZktaQZNF3YE7agEkLj0vGK9bA==
|
||||||
|
|
||||||
|
process-nextick-args@~2.0.0:
|
||||||
|
version "2.0.1"
|
||||||
|
resolved "https://registry.yarnpkg.com/process-nextick-args/-/process-nextick-args-2.0.1.tgz#7820d9b16120cc55ca9ae7792680ae7dba6d7fe2"
|
||||||
|
integrity sha512-3ouUOpQhtgrbOa17J7+uxOTpITYWaGP7/AhoR3+A+/1e9skrzelGi/dXzEYyvbxubEF6Wn2ypscTKiKJFFn1ag==
|
||||||
|
|
||||||
|
readable-stream@^2.1.4:
|
||||||
|
version "2.3.7"
|
||||||
|
resolved "https://registry.yarnpkg.com/readable-stream/-/readable-stream-2.3.7.tgz#1eca1cf711aef814c04f62252a36a62f6cb23b57"
|
||||||
|
integrity sha512-Ebho8K4jIbHAxnuxi7o42OrZgF/ZTNcsZj6nRKyUmkhLFq8CHItp/fy6hQZuZmP/n3yZ9VBUbp4zz/mX8hmYPw==
|
||||||
|
dependencies:
|
||||||
|
core-util-is "~1.0.0"
|
||||||
|
inherits "~2.0.3"
|
||||||
|
isarray "~1.0.0"
|
||||||
|
process-nextick-args "~2.0.0"
|
||||||
|
safe-buffer "~5.1.1"
|
||||||
|
string_decoder "~1.1.1"
|
||||||
|
util-deprecate "~1.0.1"
|
||||||
|
|
||||||
|
regenerator-runtime@^0.13.4:
|
||||||
|
version "0.13.9"
|
||||||
|
resolved "https://registry.yarnpkg.com/regenerator-runtime/-/regenerator-runtime-0.13.9.tgz#8925742a98ffd90814988d7566ad30ca3b263b52"
|
||||||
|
integrity sha512-p3VT+cOEgxFsRRA9X4lkI1E+k2/CtnKtU4gcxyaCUreilL/vqI6CdZ3wxVUx3UOUg+gnUOQQcRI7BmSI656MYA==
|
||||||
|
|
||||||
|
rescript@^9.1.4:
|
||||||
|
version "9.1.4"
|
||||||
|
resolved "https://registry.yarnpkg.com/rescript/-/rescript-9.1.4.tgz#1eb126f98d6c16942c0bf0df67c050198e580515"
|
||||||
|
integrity sha512-aXANK4IqecJzdnDpJUsU6pxMViCR5ogAxzuqS0mOr8TloMnzAjJFu63fjD6LCkWrKAhlMkFFzQvVQYaAaVkFXw==
|
||||||
|
|
||||||
|
safe-buffer@~5.1.0, safe-buffer@~5.1.1:
|
||||||
|
version "5.1.2"
|
||||||
|
resolved "https://registry.yarnpkg.com/safe-buffer/-/safe-buffer-5.1.2.tgz#991ec69d296e0313747d59bdfd2b745c35f8828d"
|
||||||
|
integrity sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==
|
||||||
|
|
||||||
|
seedrandom@^3.0.5:
|
||||||
|
version "3.0.5"
|
||||||
|
resolved "https://registry.yarnpkg.com/seedrandom/-/seedrandom-3.0.5.tgz#54edc85c95222525b0c7a6f6b3543d8e0b3aa0a7"
|
||||||
|
integrity sha512-8OwmbklUNzwezjGInmZ+2clQmExQPvomqjL7LFqOYqtmuxRgQYqOD3mHaU+MvZn5FLUeVxVfQjwLZW/n/JFuqg==
|
||||||
|
|
||||||
|
string_decoder@~1.1.1:
|
||||||
|
version "1.1.1"
|
||||||
|
resolved "https://registry.yarnpkg.com/string_decoder/-/string_decoder-1.1.1.tgz#9cf1611ba62685d7030ae9e4ba34149c3af03fc8"
|
||||||
|
integrity sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==
|
||||||
|
dependencies:
|
||||||
|
safe-buffer "~5.1.0"
|
||||||
|
|
||||||
|
tiny-emitter@^2.1.0:
|
||||||
|
version "2.1.0"
|
||||||
|
resolved "https://registry.yarnpkg.com/tiny-emitter/-/tiny-emitter-2.1.0.tgz#1d1a56edfc51c43e863cbb5382a72330e3555423"
|
||||||
|
integrity sha512-NB6Dk1A9xgQPMoGqC5CVXn123gWyte215ONT5Pp5a0yt4nlEoO1ZWeCwpncaekPHXO60i47ihFnZPiRPjRMq4Q==
|
||||||
|
|
||||||
|
typed-function@^2.1.0:
|
||||||
|
version "2.1.0"
|
||||||
|
resolved "https://registry.yarnpkg.com/typed-function/-/typed-function-2.1.0.tgz#ded6f8a442ba8749ff3fe75bc41419c8d46ccc3f"
|
||||||
|
integrity sha512-bctQIOqx2iVbWGDGPWwIm18QScpu2XRmkC19D8rQGFsjKSgteq/o1hTZvIG/wuDq8fanpBDrLkLq+aEN/6y5XQ==
|
||||||
|
|
||||||
|
util-deprecate@~1.0.1:
|
||||||
|
version "1.0.2"
|
||||||
|
resolved "https://registry.yarnpkg.com/util-deprecate/-/util-deprecate-1.0.2.tgz#450d4dc9fa70de732762fbd2d4a28981419a0ccf"
|
||||||
|
integrity sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==
|
||||||
Loading…
Reference in New Issue
Block a user