| Object.defineProperty(self, 'document', { value: {}, }) | |
| self.location = new URL('file:///nowhere') | |
| import 'https://cdn.jsdelivr.net/pyodide/v0.24.1/full/pyodide.asm.js' | |
| const { loadPyodide } = await import('https://cdn.jsdelivr.net/pyodide/v0.24.1/full/pyodide.mjs') | |
| const pyodide = await loadPyodide() | |
| await pyodide.loadPackage('micropip') | |
| const micropip = pyodide.pyimport('micropip') | |
| await Promise.all([ |
| export type SleepOptions = { | |
| signal?: AbortSignal | |
| /** If set, aborting will not fail the promise but instead fulfil it right away. */ | |
| skipOnAbort?: true | |
| } | |
| export const sleep = (ms: number, options?: SleepOptions) => | |
| new Promise<void>((ok, ng) => { | |
| // deno-lint-ignore prefer-const |
| /** | |
| * Implements buy-and-hold rebalancing by splitting some cash inflow into the | |
| * most meaningful contributions: | |
| * | |
| * The buckets whose valuations have fallen the most behind their target weight | |
| * are contributed to first. Then, contributions to the buckets with the largest | |
| * inflow from the previous step are prioritized, as to minimize the number of | |
| * transactions and thus transaction fees. | |
| * | |
| * @param values Range with the current valuation of the portfolio's constituents. |
| import chalk from 'chalk' | |
| import ora from 'ora' | |
| import process from 'node:process' | |
| const success = chalk.green.bold(`OK`) | |
| const failure = chalk.red.bold(`FAILED`) | |
| const excludeStackFragment = `(${new URL(import.meta.url).pathname}:` | |
| type TestBlock = (params: { test: TestFunction }) => unknown | |
| type TestFunction = (description: string, body: TestBlock) => void |
| // Based on Da, Gurun and Warachka's 2014 paper: | |
| // "Frog in the Pan: Continuous Information and Momentum" | |
| // PDF: https://www3.nd.edu/~zda/Frog.pdf | |
| //@version=5 | |
| indicator("Information Discreteness", overlay=false, precision=1, timeframe="D") | |
| LENGTH = input.int(title="Window Length", defval=365, minval=7) | |
| SKIP_RECENT = input.int(title="Skip most recent", defval=30, minval=0) | |
| MA_LENGTH = input.int(title="Average returns over", defval=7, minval=1) |
If you want to play with Blender scripting but the Python packages it ships with aren't enough, you can replace its built-in Python with your own. Here I give you some instructions to swap in a miniconda-managed environment.
These instructions apply for macOS. YMMV.
# If you don't like Homebrew you can just get it from https://www.blender.org/download/
The process identifier (a.k.a. process ID or PID) is a number used by most operating system kernels, such as those of Unix, macOS and Windows, to uniquely identify an active process.
In Unix-like operating systems, PID 1 is usually the init[^init-name] process spawned by the kernel and responsible for starting and shutting down the rest of the system.
A process can create child processes using the fork system call. At any arbitrary time, this means processes can be represented by a tree structure. For example:
─┬─ PID 1 (init)
├─┬─ PID 2
│ └─┬─ PID 4
│ └─── PID 7