fasiha

#!/usr/bin/env node

const fs = require('fs');
const path = require('path');
const readline = require('readline');

async function findJsonlFile(uuid) {
  const projectsDir = path.expandUser('~/.claude/projects');

  function searchDir(dir) {

fasiha

%  Copyright (C) 2004 Daniel Gunyan
% 
%  This program is free software; you can redistribute it and/or modify it under
%  the terms of the GNU General Public License as published by the Free Software
%  Foundation; either version 3 of the License, or (at your option) any later
%  version.
% 
%  This program is distributed in the hope that it will be useful, but WITHOUT
%  ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
%  FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more

fasiha

import unittest
import numpy as np
import numpy.linalg as linalg


def makeUnit(x):
    """Normalize entire input to norm 1. Not what you want for 2D arrays!"""
    return x / linalg.norm(x)

fasiha

1. 「あっさり・アッサリ」| ① easily/readily/quickly/flatly (refuse) ② lightly (seasoned food, applied make-up, etc.)/plainly/simply
2. 「あべこべ」| ① contrary/opposite/inverse/reverse/back-to-front
3. 「あやふや」| ① uncertain/indefinite/vague/ambiguous/equivocal/dubious/doubtful/non-committal
4. 「イジイジ・いじいじ」| ① hesitantly/timidly/diffidently
5. 「いそいそ・イソイソ」| ① cheerfully/joyously/joyfully/happily/lightheartedly/excitedly/eagerly
6. 「イチャイチャ・いちゃいちゃ」| ① making out/necking/getting handsy/canoodling/being lovey-dovey/getting affectionate (with each other)/romantic play/fondling
7. 「うじうじ・ウジウジ」| ① indecisively/hesitantly/irresolutely/wishy-washily
8. 「うじゃうじゃ・ウジャウジャ」| ① in swarms/in clusters ② tediously/slowly
9. 「うずうず・ウズウズ」| ① itching to do something/impatient/sorely tempted/eager
10. 「うぞうぞ」| ① irrepressibly aroused (esp. sexually)/stimulated

fasiha

Get the following:

• a Crunchyroll account (though they let you watch/download some videos without an account, at 480p),
• the latest youtube-dl (brew upgrade youtube-dl),
• your browser’s user agent,
• your Crunchyroll cookies (cookie.txt export for Chrome is handy) into a cookies.txt file.

Then,

fasiha

#include <math.h>

extern float RNOR; // Normal random variable
extern float UNI;  // Uniform random variable

float rgama(float a) {
  float d, c, x, v, u;
  d = a - 1. / 3.;
  c = 1. / sqrt(9. * d);
  for (;;) {

fasiha

Introduction

I’m not very familiar with the aviation jargon (see FAA’s ADS-B FAQ), but ADS-B is a next-gen system where aircraft are equipped with transponders that periodically broadcast their own positions and receive the reports from both other aircraft (direct air-to-air) as well as air-traffic control (ATC) ground transmitters.

There are two separate ADS-B radio bands: the commercial aviation (CA) is at 1090 MHz while the general aviation (GA) is at 978 MHz. If I can be permitted a gross generalization—the former corresponds to big commercial jets and the latter to small private aircraft.

Because ADS-B is designed to democratize airspace situational awareness (in contrast to the older setup, like from films, where a central air-traffic controller is coordinating all these aircraft that can’t see each other), we can buy cheap RF receivers to pick up and decode the messages being broadcast by aircraft and ground towers to get our own picture of the

fasiha

Emoji	en	fr	es	zh	ja	ar	id
🏟	stadium	stade	estadio	体tǐ育yù馆guǎn	競きょう技ぎ場じょう	إِسْتادِ	stadion
🏛	classical building	monument classique	edificio clásico	古gǔ典diǎn建jiàn筑zhù	歴れき史し的てきな建たて物もの	مَبْنَى أَثَرَيَّ	bangunan klasik
🏗	building construction	construction d’un bâtiment	construcción	施shī工gōng	建けん設せつ中ちゅう	إِنْشاءاتٍ	konstruksi bangunan
🧱	brick	brique	ladrillo	砖zhuān	れんが	طَوَّبَهُ	batu bata
🪨	rock	rocher	piedra	岩yán<

fasiha

from numpy import linalg as la
import numpy as np


def nearestPD(A):
    """Find the nearest positive-definite matrix to input

    A Python/Numpy port of John D'Errico's `nearestSPD` MATLAB code [1], which
    credits [2].

fasiha

"""
Overlap-save approach to fast-convolution.

This script shows how to use

- one long FFT,
- several short FFTs (overlap-save, or overlap-discard),
- and `numpy.convolve`

to achieve the same end: linear convolution. (I don't like overlap-add so that's not included.)