GPT 5.4 compiled these instructions from this blog post by Scott Armstrong about his and Julia Kempe's Lean 4 formalization of De Giorgi–Nash–Moser theory.
This skill is for formalization projects in mature parts of
| import Project.AssocList.Program | |
| import Interpreter.Wasm.Wp.Tactic | |
| import Interpreter.Wasm.Wp.Call | |
| /-! | |
| # Specification for `lookupDemo` | |
| -/ | |
| namespace Project.AssocList.Spec |
| import Project.Gcd.Program | |
| import Interpreter.Wasm.Wp.Tactic | |
| import Interpreter.Wasm.Wp.Block | |
| import Interpreter.Wasm.Wp.Loop | |
| /-! | |
| # Specification for `gcd` | |
| -/ | |
| namespace Project.Gcd.Spec |
GPT 5.4 compiled these instructions from this blog post by Scott Armstrong about his and Julia Kempe's Lean 4 formalization of De Giorgi–Nash–Moser theory.
This skill is for formalization projects in mature parts of
| namespace EthereumVm | |
| inductive OpCode where | |
| | STOP | |
| | ADD | |
| | MUL | |
| | PUSH1 (value : UInt8) | |
| | MLOAD | |
| | MSTORE | |
| | MSTORE8 |
| 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) |
| package quamina | |
| import ( | |
| "fmt" | |
| "log" | |
| "math/rand" | |
| "sync" | |
| "testing" | |
| ) |
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.