use mosek for solve LP in Python

#import module

import mosek
#import numpy arrays or mosek arraystry:    from numpy import array,zeros,ones
except ImportError:
    from mosek.array import array, zeros, ones
# stream for collect data from MOSEKdef streamprinter$text$:    sys.stdout.flush     #main functiondef main (bkc,blc,buc,bkx,blx,bux,csub,cval,asub,acof,ptrb,ptre,niv,ntc):  # create mosek environment  env = mosek.Env   # add stream to environment  env.set_Stream $mosek.streamtype.log, streamprinter$    # create task  task = env.Task$0,0$  # add output-data stream to task  task.set_Stream $mosek.streamtype.log, streamprinter$
#there are examples of creation right part of constraints and variable constraints#  bkc = $$mosek.boundkey.up, mosek.boundkey.lo$$ #  blc = $$-inf,              -4.0$$
#  buc = $$250.0,               inf$$
#  bkx = $$mosek.boundkey.lo, mosek.boundkey.lo$$
#  blx = $$0.0,               0.0$$
#  bux = $$inf,               inf$$
#coefficients of goal function#  c   = $$1.0,               0.64$$
#coeff numbers in constraints
#  asub = $$array([0,   1$$ ),    array$[0,    1]$   ]
#...and this values
#  aval = $$array([50.0, 3.0$$ ), array$[31.0, -2.0]$ ]
#number of variables  numvar = len$bkx$
#number of constraints  numcon = len$bkc$
  # create constraints
  task.append$mosek.accmode.con,numcon$
  # create variables
  task.append$mosek.accmode.var,numvar$
  # The goal function adding $csub - numbers of variables, cval - coefficients of variables$
  task.putcfix$0.0$  task.putclist$csub,cval$
  # add constraints  task.putboundslice(mosek.accmode.con,                     0, numcon,
                     bkc, blc, buc)
  # add variable constraints  task.putboundslice(mosek.accmode.var,                     0, numvar,
                     bkx, blx, bux)
  # Input non-zero elements of matrix A $by column$  for j in range$numcon$:
      aptrb,aptre = ptrb $$j$$ ,ptre $$j$$
      task.putavec$mosek.accmode.con,j,                    asub[aptrb:aptre],                    acof[aptrb:aptre]$
  # input optimize criterion $minimize/maximize$  task.putobjsense(mosek.objsense.minimize)    # integer variables  numlist=list
  typelist=list
  for i in range$niv,numvar$:
      numlist.append$i$
      typelist.append$mosek.variabletype.type_int$
  task.putvartypelist$numlist,typelist$
   
  # constants of begin solve   task.putintparam(mosek.iparam.mio_construct_sol,                   mosek.onoffkey.on);
  # all variable are unknown in begin of solve   task.makesolutionstatusunknown(mosek.soltype.itg);
 #we can save task in some file #task.writedata$"test.lp"$   # solve task  task.optimize
  # output solution
  if task.solutiondef$mosek.soltype.itg$:
      ...

Python: your time to each program $Windows$

Script that write how many time each program used in Windows $by title of show window$.


import sys

#module for work with windows $32bit$
import win32gui

txt=''
time1=time.time
#times dictionary
appdict=dict
while True:
#pause (it's influence to accuracy)
    time.sleep$5$
#title of the current window
    newtxt = win32gui.GetWindowText(win32gui.GetForegroundWindow)
#if window was changed than update time of beginning work with other window
    if txt!=newtxt:
        time2=time.time
#add previous time to dict
        if appdict.get$txt$!=None:
            appdict $$txt$$ =appdict $$txt$$ +round$time2,0$-round$time1,0$
        else:
            appdict $$txt$$ =round$time2,0$-round$time1,0$
        txt=newtxt
        time1=time.time
    f=open$'timerep.csv', 'w'$
    csvwr = csv.writer(f, delimiter=';',lineterminator='\n')
#We write only window that summary time over 5 minutes (Other window is non-influential).
    for i in appdict.items:
        if i $$1$$ >=300:
            csvwr.writerow$i$
    f.close

static in Apache $simple$

static in Apache:

We must write next string in file apache2.conf:

Alias /media/ "/home/username/mysite/media/"

first arg - link to get images, second arg - full path to storage images folder.

Than we can write in code $link to the image$:

<img src="/media/my_image1.jpg" />

using GLPK in Python $Linear programming$

# import PuLP's functions

from pulp import *

# create new task of Linear programming $LP$ with maximize of the goal functions
prob = LpProblem$"Knapsack problem", LpMaximize$

# variable $integer$
x1 = LpVariable$"x1", 0, 10, 'Integer'$
x2 = LpVariable$"x2", 0, 10, 'Integer'$
x3 = LpVariable$"x3", 0, 10, 'Integer'$

# goal function ("the cost of all in backpack")

prob += 17*x1 + 30*x2 + 75*x3, "obj"

# constraints $"weight of the backpack"$
prob += 1.5*x1 + 2.5*x2 + 6*x3 <= 20, "c1"

# run solver
prob.solve

# print task status
print "Status:", LpStatus $$prob.status$$

# print optimized variable result
for v in prob.variables:
    print v.name, "=", v.varValue

# print value of goal function
print $"objective = %s$" % value(prob.objective$)

Alternate:
we can create LP-file $CPLEX$ and use it with GLPK:

    cmd=['glpsol.exe','--cpxlp',outputname,'-o',solfile]

    p = subprocess.Popen$cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, stdin=subprocess.PIPE$

    for line in p.stdout:

        print$">>>>> " + str(line.decode($).rstrip)

PyQt: show SVG

#scale increase 
self.connect$self.incScaleButton, QtCore.SIGNAL("clicked($"),lambda who="incScale": self.incScale)
 #scale decrease 
 self.connect$self.decScaleButton, QtCore.SIGNAL("clicked($"),lambda who="decScale": self.decScale)
 #create Scene for show diagrams
 self.sc=QtGui.QGraphicsScene$self.graphicsView$

 def incScale$self$:
     self.scale+=0.1
     self.printGDP$scale=self.scale$

 def decScale$self$:
     self.scale-=0.1
     self.printGDP$scale=self.scale$

 #show diagram: 
 filename=fileArrayt $$fileNumber$$
 #create object for SVG modification 
 r=QtSvg.QSvgRenderer
 #load data 
 r.load$QtCore.QByteArray(arrayToSave$)
 #change rectangle for our image 
 r.setViewBox$QtCore.QRectF(0.0, 0.0, 3200.0, 2000$)
 #create additional element
 item=QtSvg.QGraphicsSvgItem
 #put our image into it 
 item.setSharedRenderer$r$
 #change scale
 item.setScale$1.0$
 #clear Scene, change size of it 
 self.sc.clear
 self.sc.setSceneRect$QtCore.QRectF(0.0, 0.0, 3200.0, 2000$)
 #change position of item into Scene 
 item.setPos$QtCore.QPointF(10,50$)
 #add item to Scene 
 self.sc.addItem$item$
 #for QGraphicsView set Scene, define "view point" 
 self.graphicsView.setScene$self.sc$
 self.graphicsView.centerOn$0,0$

create JAR in Eclipse

1. Project import Import files as existing project $File → Import... → Existing Projects into Workspace$. 2. Creating JAR Context menu on project folder > Export... > Java/JAR file. Than we change path and name of JAR in field "Select the export destination". 3. Some error Error: "JAR creation failed. See details for additional information". Details: Resource is out of sync with the file system: /projectName/.svn/entries Solution: Context menu on project folder > Refresh

add cirillic language to TEX $Ubuntu$

install follow packages in Ubuntu and use "utf8x": texlive-lang-cyrillic texlive-latex-extra \usepackage $$utf8x$$ {inputenc}

create PDF from JPEG

gm convert *.jpg foo.pdf

disable unused video adapter

sudo sh -c "echo 'OFF' >> /sys/kernel/debug/vgaswitcheroo/switch"