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This note explains how to build Postgres from source and setup to debug it using LLDB on a Mac. I used this technique to research this article: | |
http://patshaughnessy.net/2014/10/13/following-a-select-statement-through-postgres-internals | |
1. Shut down existing postgres if necessary - you don’t want to mess up your existing DB or work :) | |
$ ps aux | grep postgres | |
pat 456 0.0 0.0 2503812 828 ?? Ss Sun10AM 0:11.59 postgres: stats collector process | |
pat 455 0.0 0.0 2649692 2536 ?? Ss Sun10AM 0:05.00 postgres: autovacuum launcher process | |
pat 454 0.0 0.0 2640476 304 ?? Ss Sun10AM 0:00.74 postgres: wal writer process | |
pat 453 0.0 0.0 2640476 336 ?? Ss Sun10AM 0:00.76 postgres: writer process |
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""" | |
A deep neural network with or w/o dropout in one file. | |
License: Do What The Fuck You Want to Public License http://www.wtfpl.net/ | |
""" | |
import numpy, theano, sys, math | |
from theano import tensor as T | |
from theano import shared | |
from theano.tensor.shared_randomstreams import RandomStreams |
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#include <Rcpp.h> | |
using namespace Rcpp; | |
// [[Rcpp::export]] | |
double sdSample(NumericVector x) { | |
int n = x.size(); | |
NumericVector sampled(n); | |
for (int i = 0; i < n; ++i) { | |
sampled[i] = x[rand() % n]; |
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/***************************************************************************** | |
* QuantCup 1: Price-Time Matching Engine | |
* | |
* Submitted by: voyager | |
* | |
* Design Overview: | |
* In this implementation, the limit order book is represented using | |
* a flat linear array (pricePoints), indexed by the numeric price value. | |
* Each entry in this array corresponds to a specific price point and holds | |
* an instance of struct pricePoint. This data structure maintains a list |
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#include <stdio.h> | |
#include <string.h> | |
#include <stdlib.h> | |
#include <unistd.h> | |
#include <fcntl.h> | |
#include <netinet/tcp.h> | |
#include <sys/socket.h> | |
#include <sys/types.h> | |
#include <netinet/in.h> |
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