mikofski

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Attribution: Hijacked from tracservice.py by Florent Xicluna <[email protected]>
# http://trac-hacks.org/wiki/WindowsServiceScript
#
# To use this class, users must do the following:
# 1. Download and install the PyWin32all package
#    (http://starship.python.net/crew/mhammond/win32/)
# 2. Edit the constants section with the proper information.

mikofski

--- C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\vcvarsall.txt
+++ C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\vcvarsall.bat
@@ -16,23 +16,23 @@
 goto :eof
 
 :amd64
-if not exist "%~dp0bin\amd64\vcvarsamd64.bat" goto missing
-call "%~dp0bin\amd64\vcvarsamd64.bat"
+if not exist "%~dp0bin\vcvars64.bat" goto missing
+call "%~dp0bin\vcvars64.bat"

mikofski

from pygments.lexers import MatlabLexer
from pygments.formatter import Formatter
from pygments.token import STANDARD_TYPES
from pygments import highlight

class JSONFormatter(Formatter):
    def format(self, tokensource, outfile):
        tokensource = [{STANDARD_TYPES[k]: v} for k, v in tokensource]
        json.dump(tokensource, outfile)

mikofski

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

"""
Starts the help server so that Sphinx search works even in Google Chrome.
"""

import SimpleHTTPServer
import SocketServer
from threading import Thread
from Queue import Queue

mikofski

function [angles,projection] = solarPosition(datetime,latitude,longitude,time_zone,rotation,dst)
%SOLARPOSITION Calculate solar position using most basic algorithm
%   This is the most basic algorithm. It is documented in Seinfeld &
%   Pandis, Duffie & Beckman and Wikipedia.
%
% [ANGLES,PROJECTION] = SOLARPOSITION(DATE,TIME,LATITUDE,LONGITUDE,TIME_ZONE)
% returns ZENITH & AZIMUTH for all DATE & TIME pairs at LATITUDE, LONGITUDE.
% ANGLES = [ZENITH,AZIMUTH] and PROJECTION = [PHI_X, PHI_Y]
% PHI_X is projection on x-z plane & PHI_Y is projection on y-z plane.
% DATETIME can be string, vector [YEAR, MONTH, DAY, HOURS, MINUTES, SECONDS],

mikofski

#! /usr/bin/env python

import numpy as np
from datetime import datetime, time, timedelta
import pytz

class Timeseries(object):
    def __init__(self, x, t):
        self.x = np.array(x)
        self.t = np.array(t,dtype='datetime64[s]')

mikofski

#! /usr/bin/env python

"""
Python metaclasses
==================

A metaclass is a class factory; metaclasses serve two purposes:

1. replace ``type`` as the base class metatype for classes with the
   ``__metaclass__`` attribute

mikofski

static KeyPair OpenSSH2JavaKeyPairDemo(InputStream pub, InputStream pvt)
    throws IOException, GeneralSecurityException
  {
    KeyFactory f = KeyFactory.getInstance("RSA");

    RSAPublicKeySpec pubspec = decodeRSAPublicSSH(readAllBase64Bytes(pub));
    RSAPrivateCrtKeySpec pvtspec = decodeRSAPrivatePKCS1(readAllBase64Bytes(pvt));

    return new KeyPair(f.generatePublic(pubspec), f.generatePrivate(pvtspec));
  }

mikofski

%% initialize workspace
close('all'),clear('all'),clc
rmdir('keys','s') % delete old keys
%% test encryption
PANGRAM = 'The quick brown fox jumped over the lazy dog.';
EncryptionUtil.testJschSECSH(PANGRAM) % run test
%% make SSH keys in workspace
keyFactory = java.security.KeyFactory.getInstance('RSA'); % make a key factory
% read public OpenSSH key
[keyln, totlines] = EncryptionUtil.readJschKeyFile('keys/publicJschSECSH.key',7);

mikofski

function [p,S,mu] = polyfitZero(x,y,degree)
% POLYFITZERO Fit polynomial to data, forcing y-intercept to zero.
%   P = POLYFITZERO(X,Y,N) is similar POLYFIT(X,Y,N) except that the
%   y-intercept is forced to zero, i.e. P(N) = 0. In the same way as
%   POLYFIT, the coefficients, P(1:N-1), fit the data Y best in the least-
%   squares sense. You can also use Y = POLYVAL(PZERO,X) to evaluate the
%   polynomial because the output is the same as POLYFIT.
%
%   [P,S,MU] = POLYFITZERO() Return structure, S, similar to POLYFIT for use
%   with POLYVAL to calculate error estimates of predictions with P.