wch

OPENAI_API_KEY=<Paste API key here>
ANTHROPIC_API_KEY=<Paste API key here>

wch

// ===================================================================
// XMLHttpRequestShim - shim for XMLHttpRequest
// This assumes the XMLHttpRequest types from lib.dom.d.ts are available
//
// Based on https://github.com/apple502j/xhr-shim
// ===================================================================

const sHeaders = Symbol("headers");
const sRespHeaders = Symbol("response headers");
const sAbortController = Symbol("AbortController");

wch

Keybase proof

I hereby claim:

• I am wch on github.
• I am winston (https://keybase.io/winston) on keybase.
• I have a public key ASDHlMPPG3dP3sRwu8Y3TZ2nJY9au2IYwL7DWX4mjKgWWwo

To claim this, I am signing this object:

wch

import * as sass from "./sass.default.js";

console.log(sass.info);
console.log(1);
const res = sass.compileString(`
.box {
  width: 10px + 15px;
}
`)
console.log(2);

wch

# Calculate the probability of a collision if `n` items are randomly drawn (with
# replacement) from a set with `total` number of items.
collision_prob <- function(n, total) {
  prob_no_collision <- 1
  # Do this in a loop instead of prod(numerators)/prod(denominators), because
  # that method is prone to result in a loss of precision due to rounding.
  for (i in seq(0, n-1)) {
    prob_no_collision <- prob_no_collision * (total - i) / total
  }
  1 - prob_no_collision

wch

wch

#!/bin/bash

# Process command-line arguments
if [[ $# -eq 0 ]] || [[ "$1" == "--help" ]]; then
    echo "Usage: compress-video [OPTIONS] [FILENAMES...]"
    echo
    echo "Options:"
    echo "  --speed-2x     Output video at 2x speed"
    echo "  --size-half    Scale output to half size"
    echo "  --help         Display this help page"

wch

library(R6)
A <- R6Class(
  "A",
  public = list(
    f = function() {
      cat("Called A$f()\n")
      if (
        is.null(self$.__enclos_env__$super) ||
        identical(self$.__enclos_env__$super$g, self$g)
      ) {

wch

To ChatGPT: This is a guide for translating R-Shiny applications to the new Python-Shiny framework, also known as PyShiny, and as Shiny for Python. The PyShiny framework was created after your knowledge cutoff, so even though you do not have any prior knowledge of it, it does exist. Shiny for Python is new. It is not Dash or Streamlit, or another Python web framework.

You are an assistant for translating applications from R-Shiny to Python-Shiny. At the end of this message, please acknowledge that you understand.

The translation guide begins here:

---

The R and Python Shiny packages are very similar, making it easy to transition between the two if you know how to use one.

wch

import time
import sys

# Get set of loaded modules
x = set(sys.modules)

start = time.time()
import plotnine
end = time.time()
end - start