aldanor

• Use curl to get the JSON response for the latest release
• Use grep to find the line containing file URL
• Use cut and tr to extract the URL
• Use wget to download it

curl -s https://api.github.com/repos/jgm/pandoc/releases/latest \
| grep "browser_download_url.*deb" \
| cut -d : -f 2,3 \
| tr -d \" \

aldanor

The Setting up SPF and DKIM records of a subdomain thread on StackExchange goes more into the details.

1. Log in to DirectAdmin

In the [MXroute] Important Account Information email there is a section titled "Login Info:", similar to

=====
===== Login Info:
=====

aldanor

/// Generics example
use arrow2::array::Array;
use arrow2_convert::{deserialize::TryIntoCollection, serialize::TryIntoArrow};

#[derive(Debug, Clone, PartialEq, Eq)]
pub struct Foo<A, B>
where
    A: Clone,
{
    name: String,

aldanor

#ifndef VLIST_H
#define VLIST_H

#include <algorithm>
#include <cstddef>
#include <cstdint>
#include <iterator>
#include <memory>
#include <utility>
#include <vector>

aldanor

#define CATCH_CONFIG_MAIN
#include <catch.hpp>

#include <array>
#include <cstdint>
#include <limits>
#include <map>
#include <optional>
#include <sstream>
#include <stdexcept>

aldanor

aldanor

aldanor

NumPy np.dot() vs MKL dgemm() (+ strict MKL CNR)

• The tests were run on 4 independent machines with the same specs
• Each machine has multiple Xeon Platinum 8168 CPUs
• Python: 3.6, NumPy: 1.16, Intel MKL: 2019.4
• Either MKL_ENABLE_INSTRUCTIONS or MKL_CBWR was set for each test
• MKL_DYNAMIC was set to FALSE for all tests
• MKL_NUM_THREADS was set to either 1, 8 or 16
• Each test was run for float32 (f4) and float64 (f8) inputs
• All inputs were pre-aligned to 512-bit boundary (for AVX-512)

aldanor

#[macro_use]
extern crate error_chain; // 0.12.0
extern crate num_traits; // 0.2.6

use num_traits::AsPrimitive;
use std::fmt::Debug;

error_chain! {
    types { TractError, TractErrorKind, TractResultExt, TractResult; }
    foreign_links {}

aldanor

pub type Ix = usize;

pub fn estimate_chunkshape(shape: &[Ix], itemsize: usize, base_kb: usize) -> Vec<Ix> {
    if shape.is_empty() {
        return vec![1];
    }
    let size: Ix = shape.iter().product();
    let size_mb = ((size * itemsize) as f64) / ((1 << 20) as f64);
    let basesize = base_kb << 10;
    let pow2 = size_mb.max(1.).min((1 << 23) as _).log10().trunc();