fede-vaccaro

import os
import random
import shutil

import cv2
import matplotlib.pyplot as plt
import networkx
import numpy as np
import paths
from networkx import (

fede-vaccaro

	@Before
	public void createUserRepository() {
		entityManager.getTransaction().begin();
		entityManager.createNativeQuery("do\n" + 
				"$$\n" + 
				"declare\n" + 
				"  l_stmt text;\n" + 
				"begin\n" + 
				"  select 'truncate ' || string_agg(format('%I.%I', schemaname, tablename), ',')\n" + 
				"    into l_stmt\n" + 

fede-vaccaro

version: "2"
services:

  db:
   image: postgres:10
   restart: always
   ports:
    - 5432:5432
   environment:
    POSTGRES_USER: docker

fede-vaccaro

#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "cuda_runtime_api.h"

// useful defines
#ifndef USEFULDEFINES
#define USEFULDEFINES
#define Mask_width 3
#define Mask_radius Mask_width / 2
#define TILE_WIDTH 16

fede-vaccaro

from __future__ import print_function

import numpy as np
from time import time

# Let's take the randomness out of random numbers (for reproducibility)
np.random.seed(0)

# THIS SCRIPT ISN'T MINE AT ALL: I JUST FOUND IT ON REDDIT.
# Useful to benchmark. 

fede-vaccaro

import sys
import numpy as np
import numpy.linalg as LA
import scipy.linalg
from sklearn.mixture import GaussianMixture
from sklearn.preprocessing import normalize
from sklearn.decomposition import PCA
from multiprocessing.dummy import Pool as ThreadPool
import time