elnikkis

'''
PDFをマージして見開きにする
'''
import subprocess
import tempfile
from pathlib import Path


def main(args):
    with tempfile.TemporaryDirectory() as tmpdir:

elnikkis

#!/bin/bash

if [ $# -eq 0 ]; then
    echo "Usage: [Q=QueueName] [P=NProcs] [T=NThreads] [C=NCpus] [M=Memory (GB)] [W=WallTime (hour)] [J=JobName] [O=LogDir] bash $0 [-I|command]"
    exit 1
fi


# Set default values
R="p=${P:=1}:t=${T:=1}:c=${C:=1}:m=${M:=3}G"

elnikkis

'''Implement DBSCAN clustering algorithm'''

import numpy as np
from scipy.spatial import distance
from scipy.sparse.csgraph import connected_components


def dbscan(X, eps=0.5, minPts=2):
    X = np.array(X)
    if X.ndim != 2:

elnikkis

# -*- coding: utf-8 -*-

from collections import namedtuple


def typednamedtuple(typename, field_names, field_types):
    '''Typed namedtuple

    An implementation of typed namedtuple.

elnikkis

# -*- coding: utf-8 -*-


'''
edgelistとlabellistを0始まりのIDに変換する
'''

import os
import sys
#from snlocest.largedict import LargeDict

elnikkis

#include <stdio.h>

/*
 * 三目並べを作る
 * */

#define WIDTH 3
#define HEIGHT 3

#define BLANK 0

elnikkis

# coding: utf-8

'''
はねろコイキングのとっくんのCPテーブルをダウンロード
'''

import os
import urllib.request
import bs4

elnikkis

# -*- coding: utf-8 -*-

import random

def markov(n, p):
    state = True
    for i in range(n):
        x = random.random()
        if p > x:
            state = not state

elnikkis

# -*- coding: utf-8 -*-

'''
Label Propagationを実装した
'''

import numpy as np
import scipy as sp
import sklearn.datasets
import sklearn.metrics as metrics

elnikkis

# coding:utf-8

def print_mat(mat):
    for row in mat:
        for c in row:
            print(c, end=", ")
        print()

def gauss_jordan(mat):
    n = len(mat)