Lorenzo Recursing

## acceptedLanguages.ts
// Adapted from https://github.com/vercel/next.js/blob/dda62b693e3e9cf9fd566085e7372c46c16fa14a/packages/next/src/server/accept-header.ts#L13

interface Selection {
  pos: number
  q: number
  token: string
}

export function acceptedLanguages(rawHeader: string) {
  const header = rawHeader.replace(/[ \t]/g, '')

## EA Forum Summary Bookmarklet.js
(async function () {
  const API_KEY = "YOUR_API_KEY";
  const SYSTEM_PROMPT = "Summarize the following article in 10 bullet points:";

  async function getSummary(text) {
    const API_URL = "https://api.openai.com/v1/chat/completions";
    const data = {
      model: "gpt-3.5-turbo-16k",
      messages: [
        {

## read_selection_bookmarklet.js
function getSelectedText() {
  return window.getSelection().toString();
}

let restartTimeout = null;
function restartPeriodically() {
  window.speechSynthesis.pause();
  window.speechSynthesis.resume();
  restartTimeout = setTimeout(restartPeriodically, 5000);
}

## openaibot.py
import tempfile
import subprocess
import openai

from telegram import Update, InlineQueryResultArticle, InputTextMessageContent

from telegram.ext import (
    filters,
    MessageHandler,
    ApplicationBuilder,

## STL.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                Recursing
                / STL.md
            
            
              Created
              May 20, 2022 09:15
            
              
                TIL github markdown can render STLs
              
          
    solid ascii
 facet normal 0.0825722 0.0130781 0.996499
  outer loop
   vertex 0.682297 0.3 0.493181
   vertex 0.678269 0.325431 0.493181
   vertex 0.6 0.3 0.5
  endloop
 endfacet
 facet normal 0.0744894 0.0379543 0.996499

  
## extract_biomarkers.py
import re
import os
import pdfminer.high_level as pdf_reader
import csv


PATTERNS = [
    re.compile(p, re.M)
    for p in [
        r"^Tumor Mutational Burden\s+([^\s]+|Not Evaluable)\s+mutations-per-megabase$(?:\n|\s)+Microsatellite Instability(?:\n|\s)+([^\n]+)$",

## mosco pdf extractor.py
import re
import os
import pdfminer.high_level as pdf_reader
import csv

ignore_list = ["GENE", "MSI-High", ""]


def get_pattern(text: str) -> re.Pattern[str]:
    if "FMI Sample ID" in text:

## Multiple string replacement.py
for path in cwd.rglob("*.py"):
    if 'pipstrap' in str(path):
        continue
    if str(path).count('/dev/') > 1:
        continue
    text = path.read_text()
    if 'analytics_view_id' not in text:
        continue
    print('replacing in ', path)
    for k, v in d.items():

## characteristic_words.py
import collections
import typing
import unicodedata
import json
import re


T = typing.TypeVar("T")
K = typing.TypeVar("K")
Message = typing.Any

## function_call_with_most_args.py
#! /bin/python
import ast
import pathlib
from sys import path
from typing import Iterator


def function_calls_arg_numbers(tree: ast.Module) -> Iterator[tuple[int, int]]:
    for node in ast.walk(tree):
        if not isinstance(node, ast.Call):
	// Adapted from https://github.com/vercel/next.js/blob/dda62b693e3e9cf9fd566085e7372c46c16fa14a/packages/next/src/server/accept-header.ts#L13

	interface Selection {
	pos: number
	q: number
	token: string
	}

	export function acceptedLanguages(rawHeader: string) {
	const header = rawHeader.replace(/[ \t]/g, '')
	(async function () {
	const API_KEY = "YOUR_API_KEY";
	const SYSTEM_PROMPT = "Summarize the following article in 10 bullet points:";

	async function getSummary(text) {
	const API_URL = "https://api.openai.com/v1/chat/completions";
	const data = {
	model: "gpt-3.5-turbo-16k",
	messages: [
	{
	function getSelectedText() {
	return window.getSelection().toString();
	}

	let restartTimeout = null;
	function restartPeriodically() {
	window.speechSynthesis.pause();
	window.speechSynthesis.resume();
	restartTimeout = setTimeout(restartPeriodically, 5000);
	}
	import tempfile
	import subprocess
	import openai

	from telegram import Update, InlineQueryResultArticle, InputTextMessageContent

	from telegram.ext import (
	filters,
	MessageHandler,
	ApplicationBuilder,
	import re
	import os
	import pdfminer.high_level as pdf_reader
	import csv


	PATTERNS = [
	re.compile(p, re.M)
	for p in [
	r"^Tumor Mutational Burden\s+([^\s]+\|Not Evaluable)\s+mutations-per-megabase$(?:\n\|\s)+Microsatellite Instability(?:\n\|\s)+([^\n]+)$",
	for path in cwd.rglob("*.py"):
	if 'pipstrap' in str(path):
	continue
	if str(path).count('/dev/') > 1:
	continue
	text = path.read_text()
	if 'analytics_view_id' not in text:
	continue
	print('replacing in ', path)
	for k, v in d.items():
	import collections
	import typing
	import unicodedata
	import json
	import re


	T = typing.TypeVar("T")
	K = typing.TypeVar("K")
	Message = typing.Any
	#! /bin/python
	import ast
	import pathlib
	from sys import path
	from typing import Iterator


	def function_calls_arg_numbers(tree: ast.Module) -> Iterator[tuple[int, int]]:
	for node in ast.walk(tree):
	if not isinstance(node, ast.Call):