kogecoo

import numpy as np
from numpy.random import rand, uniform

# reference: https://en.wikipedia.org/wiki/Particle_swarm_optimization#Parameter_selection

ob = lambda x: (np.power(x, 4.0) - x * x * 16 + x * 5).sum() / 2.0 # Styblinski-Tang function
lims = np.array([[-5.0, 4.0], [-3.0, 4.0]])

loop = 100

kogecoo

#!/usr/bin/env python
# -*- coding: utf-8 -*

from PIL import Image
import argparse
import os

def make(image_names, target_height, seconds, imgs_per_seconds, outfile_prefix, outdir):
    try:
        if not os.path.exists(outdir):

kogecoo

#!/usr/bin/env python
# -*- coding: utf-8 -*


from bs4 import BeautifulSoup as BS
import requests
import argparse


def convert(url, out, midashi, need_title, need_author):

kogecoo

diff --git src/event-noun.pl src/event-noun.pl
index 48c431f..3b8ae3b 100644
--- src/event-noun.pl
+++ src/event-noun.pl
@@ -32,22 +32,22 @@ sub new {
     # (skip now. consider later)
 
     # argument-identification model (in the same bunsetsul)
-    for my $TYPE qw(ga o ni) {
+    for my $TYPE (qw(ga o ni)) {