hammertoe

try:
    from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
except:
    from http.server import BaseHTTPRequestHandler, HTTPServer
import socket

class NumberServer(BaseHTTPRequestHandler):
    def _set_headers(self):
        self.send_response(200)
        self.send_header('Content-type', 'text/plain')

hammertoe

// npm i ripple-lib
// node valstream.js

const RippleAPI = require("ripple-lib").RippleAPI;
var api = new RippleAPI({ server: "wss://s1.ripple.com" });

api.connect().then(() => {

  api.connection.on('validationReceived', (event) => {
      console.log(JSON.stringify(event, null, 2))

hammertoe

### I have just deposited some more XRP to what was a balanced portfolio, not is it is unbalanced
(crypto_balancer) Matts-iMac:crypto_balancer matt$ crypto_balancer binance
Connected to exchange: Binance

Balances:
  XRP 4468.878282
  BTC 0.01609
  ETH 0.42
  BNB 3.04830514
  USDT 33.602051

hammertoe

def fft(inp):
    inp = tuple(inp)
    total = ""
    for i, c in enumerate(inp, 1):
        pat = [ [item] * i for item in base_pat ]
        pat = [item for sublist in pat for item in sublist]
        l1 = len(pat)
        l2 = len(inp)
        pat = pat * math.ceil((l2+1)/l1)
        pat = pat[1:l2+1]

hammertoe

def heater_control(temperature):
  if temperature > 20:
    return 0
  else:
    return 1

hammertoe

input	output
16	1
17	1
18	1
19	1
20	1
21	0
22	0
23	0

hammertoe

# USAGE
# python align_faces.py --shape-predictor shape_predictor_68_face_landmarks.dat input/example_*.jpg

# import the necessary packages
from imutils.face_utils import FaceAligner
from imutils.face_utils import rect_to_bb
import argparse
import imutils
import dlib
import cv2

hammertoe

(pytorch2) (base) Matts-iMac:facial_alignment matt$ ls input/
IMG_0720.JPG	IMG_1784.JPG	IMG_2697_2.JPG	IMG_3251.JPG	IMG_5523_2.JPG	IMG_7489.JPG	IMG_7836.JPG
IMG_1148.JPG	IMG_1908.JPG	IMG_2918.JPG	IMG_3651.JPG	IMG_7480.JPG	IMG_7490.JPG	IMG_9029.JPG
IMG_1215.JPG	IMG_1910.JPG	IMG_3028.JPG	IMG_3833.JPG	IMG_7482.JPG	IMG_7630.JPG	IMG_9622.JPG
IMG_1574.JPG	IMG_2041.JPG	IMG_3250.JPG	IMG_5520_2.JPG	IMG_7485.JPG	IMG_7633.JPG	IMG_9919.JPG
(pytorch2) (base) Matts-iMac:facial_alignment matt$ python align_faces.py --shape-predictor shape_predictor_68_face_landmarks.dat --images input/*.JPG
processing: input/IMG_0720.JPG
processing: input/IMG_1148.JPG
processing: input/IMG_1215.JPG
processing: input/IMG_1574.JPG

hammertoe

import argparse
import requests
import json
from urllib.parse import urlparse

parser = argparse.ArgumentParser(description="Fetch content from a coil post")
parser.add_argument("url", help="URL to fetch from Coil")
args = parser.parse_args()

url_parts = urlparse(args.url)

hammertoe

# A simple hello world function
% cat hello.py
def main(args):
    name = args.get("name", "unknown")
    return {"message": f"Hello {name}!"}
    
# create an action
% ic fn action create hello hello.py
ok: created action hello