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/*
* @return Retorna a cotação atual de um título específico do Tesouro Direto. 
* Fonte: https://www.tesourodireto.com.br/titulos/precos-e-taxas.htm
**/
function TESOURODIRETO(bondName) {
    let srcURL = "https://www.tesourodireto.com.br/json/br/com/b3/tesourodireto/service/api/treasurybondsinfo.json";
    let jsondata = UrlFetchApp.fetch(srcURL);
    let parsedData = JSON.parse(jsondata.getContentText()).response;

    for(let bond of parsedData.TrsrBdTradgList) {

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Memory profiling Rust code with heaptrack in 2019

I recently ran into a classic case of "our code is using way more memory than it should". So I took my first dive into memory profiling Rust code. I read several posts about this, including the following

• KodrAus' gist on profiling rust
• This reddit thread
• Brendan D. Gregg's post about memory flamegraphs
• Bradlee Speice's A Case Study in Heaptrack

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// Problem:
//
// 1. Generate a sequence of N distributed random floating point numbers in the range [A, B].
// 2. Split it into evenly spaced M subsequences (i.e., M bins of N/M items each).
// 3. Make a histogram of each bin in parallel by counting from A to B how many fit in each b[i] in
//    a range of B/M.
// 4. Merge all histograms back into one histogram of M.

use rand::distributions::uniform::SampleUniform;
use rand::Rng;

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Using FileCheck

https://llvm.org/docs/CommandGuide/FileCheck.html

CHECK

Simple example:

; RUN: llvm-as < %s | llc -march=x86-64 | FileCheck %s

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Iniciando PostgreSQL no Linux

Aviso: As instruções a seguir foram pesquisadas e executavas para funcionar com a distribuição ArchLinux.

Instale o pacote através de um gerenciador de pacotes:

# pacman -S postgresql

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Direct links to free Springer books (pdf versions)

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen