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$mosek.soltype.itg$:
      ...