def opa(file,indt=0,indr=0):

    import matplotlib.pyplot as plt
    import numpy as np
    import sys

    try:
        f = open(file)
        lines = f.readlines()
    except:
        print('Error: Could not open %s' % modfile)
        return()

    ntrow = 6
    i = 40
    x=lines[i]
    nfre = int(x.split()[0])
    ntem = int(x.split()[1])
    nrho = int(x.split()[2])

    print(nfre,ntem,nrho)
    i = i+2

    nreat = ntem//ntrow
    if ntem % ntrow != 0:
        nreat = nreat + 1
    temp = []
    j = 0
    while j < nreat:
        x = lines[i]
        val = x.split()
        k = 0
        while k < ntrow:
            if (j*ntrow + k) < ntem:
                temp.append(float(val[k]))
            k+= 1
        j+= 1
        i+= 1 

    print(np.exp(temp))

    i+= 1

    nrear = nrho//ntrow
    if nrho % ntrow != 0:
        nrear = nrear + 1
    dens = []
    j = 0
    while j < nrear:
        x = lines[i]
        val = x.split()
        k = 0
        while k < ntrow:
            if (j*ntrow + k) < nrho:
                dens.append(float(val[k]))
            k+= 1
        j+= 1
        i+= 1

    i+= 1

    print(np.exp(dens))
 
    nl = ntem*nrho
    nrel = nl//ntrow
    if nl % ntrow != 0:
        nrel = nrel + 1

    i=i+nrel

    lamb=[]
    abso=[]
    ilam = 0
    while ilam < nfre:
        i+= 1
        x = lines[i]
        val = x.split()
        lamb.append(float(val[5]))
        i = i+2
        it = 0
        ir = 0
        while ir < nrho:
            j = 0
            abt=[]
            while j < nreat:
                x = lines[i]
                val = x.split()
                k = 0
                while k < ntrow:
                    if(j*ntrow + k) < ntem:
                        abt.append(float(val[k]))
                    k+=1
                j+=1
                i+=1

            if ir == indr:
                abso.append(abt[indt])

            ir+=1

        ilam += 1

    lamb = np.array(lamb)
    abso = np.array(abso)
    print(ilam)
    return(lamb,abso)