zackmdavis

(Whisper) zmd@CaptiveFacility Whisper % whisper ep22_final.mp3 --model tiny             
100%|█████████████████████████████████████| 72.1M/72.1M [00:03<00:00, 23.9MiB/s]
/Users/zmd/.local/share/virtualenvs/Whisper-JcksVwm9/lib/python3.9/site-packages/whisper/transcribe.py:78: UserWarning: FP16 is not supported on CPU; using FP32 instead
  warnings.warn("FP16 is not supported on CPU; using FP32 instead")
Detecting language using up to the first 30 seconds. Use `--language` to specify the language
Detected language: English
[00:00.000 --> 00:05.000]  Welcome to Robot Friends, the podcast that actively harms its audience.
[00:05.000 --> 00:08.000]  Episode 22, I can robot vs. Extra-B.
[00:16.000 --> 00:19.000]  JD Pressman, what's your deal?
[00:20.000 --> 00:23.000]  What is my deal? Okay, well, um,

zackmdavis

from string import ascii_lowercase

def load_dictionary():
    dictionary = set()
    with open("/usr/share/dict/words") as dictionary_file:
        for word in dictionary_file:
            dictionary.add(word.strip())
    return dictionary

VOWELS = ['a', 'e', 'i', 'o', 'u']

zackmdavis

from fractions import Fraction
from math import sqrt


def expected_squared_error(distribution, metric):
    """
    If we know the distribution, and we "guess" the value of a sample from that
    distribution, how much will we be wrong on average (with respect to a given
    metric on the space, squared)?
    """

zackmdavis

#!/usr/bin/env run-cargo-script
// cargo-deps: rand="0.7"

// Use cargo-script (https://github.com/DanielKeep/cargo-script) to run as a
// standalone script.

extern crate rand;

use std::collections::HashMap;

zackmdavis

import os
import re
import requests
import sys


slate_sturl_regex = re.compile(r"https?://slatestarcodex.com/\d{4}/\d{2}/\d{2}/[-a-z0-9]+/")


def slate_starchive_post_content(content):

zackmdavis

#!/usr/bin/env run-cargo-script
// cargo-deps: rand="0.7"

// Use cargo-script (https://github.com/DanielKeep/cargo-script) to run as a
// standalone script.

use std::collections::HashMap;

extern crate rand;
use rand::distributions::{Distribution, Uniform};

zackmdavis

# Graphing requirements: scipy and matplotlib

import random

from math import factorial, sqrt

ε = 0.01  # size of edge for B


def binomial(p, n, k):

zackmdavis

# https://www.vox.com/future-perfect/2020/1/7/21051910/predictions-trump-brexit-recession-2019-2020

from math import log2 as lg

predictions = [
    # summary, probability, outcome
    ("Trump in office", 0.9, True),
    ("No Dem frontrunner", 0.6, False),
    ("No US recession", 0.8, True),
    ("No border wall", 0.95, True),

zackmdavis

(Thinking-out-loud comments on a not-yet-published draft.)

three choices: eat candy, eat chocolate, or hug a friend

(Some authors would consider chocolate a kind of candy?)

by generating triples in [0,1] here

"Here" links are terrible!

zackmdavis

There's a claimant on the line
There's a regulator's fine
Brokers scream on Intercom
BD responds with aplomb
Integrate my CDF
And template that PDF
Running Docker in a chroot
Popping jobs off of the queue

Pictures of this spree