JosephCatrambone

Keybase proof

I hereby claim:

• I am JosephCatrambone on github.
• I am josephcatrambone (https://keybase.io/josephcatrambone) on keybase.
• I have a public key whose fingerprint is E974 FC47 9D86 9756 4EE7 C912 2D23 E135 F6F0 661B

To claim this, I am signing this object:

JosephCatrambone

import numpy
import math

def make_sphere(steps=512):
	points = list()
	colors = list()
	for s in range(steps):
		y = math.sin((8 * s / float(steps)) * 2 * math.pi)
		x = math.cos((32 * s / float(steps)) * 2 * math.pi)

JosephCatrambone

#!/usr/bin/env python

from PIL import Image
from glob import iglob
import h5py
import tensorflow as tf
import numpy
import logging
import itertools

JosephCatrambone

# -*- coding: utf-8 -*-
"""
(c) 2019 Joseph Catrambone, Xoana LTD.  Releasewd under MIT License.
"""

# Create 10958 using, in order, 1, 2, 3, 4, 5, 6, 7, 8, 9.

# Let's phrase this as a search problem.
# Concat only applies if the underlying operands are digits, not products.  I.e, one could go concat(1, 2) -> 12, but not concat(1+2, 3) -> 33.

JosephCatrambone

/*
UnionFind.rs
A simple single-file UnionFind/Disjoint-Set implementation.
AUTHOR: Joseph Catrambone <jo.jcat@gmail.com> (c) 2019
LICENSE: MIT

/// Example Usage:
///
/// ```
/// let uf = UnionFind::<char>::new();

JosephCatrambone

class LineSeekableFile:
    def __init__(self, seekable):
        self.fin = seekable
        self.line_map = list() # Map from line index -> file position.
        self.line_map.append(0)
        while seekable.readline():
            self.line_map.append(seekable.tell())
    
    def __getitem__(self, index):
        # NOTE: This assumes that you're not reading the file sequentially.  For that, just use 'for line in file'.

JosephCatrambone

import numpy
import picamera
import picamera.array
import random
import RPi.GPIO as GPIO
from time import sleep

camera_width = 320
camera_height = 240
arma_pin = 32

JosephCatrambone

extends Camera

export var follow_target_path:NodePath = ""
var follow_target:Node
export var follow_distance:float = 5.0
export var follow_height:float = 1.0

export var mouse_sensitivity_x:float = 0.005
export var mouse_sensitivity_y:float = 0.005
var last_mouse_delta:Vector2 = Vector2()

JosephCatrambone

import numpy
from pathlib import Path
import sys
import torch
from torch import nn
import torchvision
from torchvision import datasets
from torchvision import transforms

JosephCatrambone

(function(exports) {
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    (function() {
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        function f(n) {
            return n < 10 ? "0" + n : n;
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        if (typeof Date.prototype.toJSON !== "function") {