#!/usr/bin/env python

"""
table.py [-m] base1 base2 ... baseN

Combines output from base1.txt, base2.txt, etc., which are created by
the TestDriver (such as timcv.py) output, and displays tabulated
comparison statistics to stdout.  Each input file is represented by
one column in the table.

Optional argument -m shows a final column with the mean value of each
statistic.
"""

# Return
#  (
#   ham tested,
#   spam tested,
#   total f-p,
#   total f-n,
#   total unsure,
#   average f-p rate,
#   average f-n rate,
#   average unsure rate,
#   real cost,
#   best cost,
#   ham score deviation for all runs,
#   spam score deviations for all runs,
# )
# from summary file f.
def suck(f):
    hamdevall = spamdevall = (0.0, 0.0)
    cost = 0.0
    bestcost = 0.0
    fp = 0
    fn = 0
    un = 0
    fpp = 0.0
    fnp = 0.0
    unp = 0.0
    htest = 0
    stest = 0

    get = f.readline
    while 1:
        line = get()
        if line.startswith('-> <stat> tested'):
            # <stat> tested 1910 hams & 948 spams against 2741 hams & 948 spams
            #      1      2    3    4 5   6
            print line,

        elif line.find(' items; mean ') > 0 and line.find('for all runs') > 0:
            # <stat> Ham scores for all runs: 2741 items; mean 0.86; sdev 6.28
            #                                          0          1          2
            vals = line.split(';')
            mean = float(vals[1].split()[-1])
            sdev = float(vals[2].split()[-1])
            val = (mean, sdev)
            ntested = int(vals[0].split()[-2])
            typ = vals[0].split()[2]
            if line.find('for all runs') != -1:
                if typ == 'Ham':
                    hamdevall = val
                    htest = ntested
                else:
                    spamdevall = val
                    stest = ntested

        elif line.startswith('-> best cost for all runs: $'):
            # -> best cost for all runs: $28.20
            bestcost = float(line.split('$')[-1])

        elif line.startswith('-> <stat> all runs false positives: '):
            fp = int(line.split()[-1])

        elif line.startswith('-> <stat> all runs false negatives: '):
            fn = int(line.split()[-1])

        elif line.startswith('-> <stat> all runs unsure: '):
            un = int(line.split()[-1])

        elif line.startswith('-> <stat> all runs false positive %: '):
            fpp = float(line.split()[-1])

        elif line.startswith('-> <stat> all runs false negative %: '):
            fnp = float(line.split()[-1])

        elif line.startswith('-> <stat> all runs unsure %: '):
            unp = float(line.split()[-1])

        elif line.startswith('-> <stat> all runs cost: '):
            cost = float(line.split('$')[-1])
            break

    return (htest, stest, fp, fn, un, fpp, fnp, unp, cost, bestcost,
            hamdevall, spamdevall)

def windowsfy(fn):
    import os
    if os.path.exists(fn + '.txt'):
        return fn + '.txt'
    else:
        return fn

def table():
    import getopt, sys

    showMean = 0

    fname = "filename: "
    fnam2 = "          "
    ratio = "ham:spam: "
    rat2  = "          "
    fptot = "fp total: "
    fpper = "fp %:     "
    fntot = "fn total: "
    fnper = "fn %:     "
    untot = "unsure t: "
    unper = "unsure %: "
    rcost = "real cost:"
    bcost = "best cost:"

    hmean = "h mean:   "
    hsdev = "h sdev:   "
    smean = "s mean:   "
    ssdev = "s sdev:   "
    meand = "mean diff:"
    kval  = "k:        "

    tfptot = tfpper = tfntot = tfnper = tuntot = tunper = trcost = tbcost = \
    thmean = thsdev = tsmean = tssdev = tmeand = tkval =  0

    args, fileargs = getopt.getopt(sys.argv[1:], 'm')
    for arg, val in args:
        if arg == "-m":
            showMean = 1

    for filename in fileargs:
        filename = windowsfy(filename)
        (htest, stest, fp, fn, un, fpp, fnp, unp, cost, bestcost,
         hamdevall, spamdevall) = suck(file(filename))
        if filename.endswith('.txt'):
            filename = filename[:-4]
        filename = filename[filename.rfind('/')+1:]
        filename = filename[filename.rfind("\\")+1:]
        if len(fname) > len(fnam2):
            fname += "            "
            fname = fname[0:(len(fnam2) + 12)]
            fnam2 += " %11s" % filename
        else:
            fnam2 += "            "
            fnam2 = fnam2[0:(len(fname) + 12)]
            fname += " %11s" % filename
        if len(ratio) > len(rat2):
            ratio += "            "
            ratio = ratio[0:(len(rat2) + 12)]
            rat2  += " %11s" % ("%d:%d" % (htest, stest))
        else:
            rat2  += "            "
            rat2  = rat2[0:(len(ratio) + 12)]
            ratio += " %11s" % ("%d:%d" % (htest, stest))
        fptot += "%12d"   % fp
        tfptot += fp
        fpper += "%12.2f" % fpp
        tfpper += fpp
        fntot += "%12d"   % fn
        tfntot += fn
        fnper += "%12.2f" % fnp
        tfnper += fnp
        untot += "%12d"   % un
        tuntot += un
        unper += "%12.2f" % unp
        tunper += unp
        rcost += "%12s"   % ("$%.2f" % cost)
        trcost += cost
        bcost += "%12s"   % ("$%.2f" % bestcost)
        tbcost += bestcost
        hmean += "%12.2f" % hamdevall[0]
        thmean += hamdevall[0]
        hsdev += "%12.2f" % hamdevall[1]
        thsdev += hamdevall[1]
        smean += "%12.2f" % spamdevall[0]
        tsmean += spamdevall[0]
        ssdev += "%12.2f" % spamdevall[1]
        tssdev += spamdevall[1]
        meand += "%12.2f" % (spamdevall[0] - hamdevall[0])
        tmeand += (spamdevall[0] - hamdevall[0])
        k = (spamdevall[0] - hamdevall[0]) / (spamdevall[1] + hamdevall[1])
        kval  += "%12.2f" % k
        tkval  += k

    nfiles = len(fileargs)
    if nfiles and showMean:
        fptot += "%12d"   % (tfptot/nfiles)
        fpper += "%12.2f" % (tfpper/nfiles)
        fntot += "%12d"   % (tfntot/nfiles)
        fnper += "%12.2f" % (tfnper/nfiles)
        untot += "%12d"   % (tuntot/nfiles)
        unper += "%12.2f" % (tunper/nfiles)
        rcost += "%12s"   % ("$%.2f" % (trcost/nfiles))
        bcost += "%12s"   % ("$%.2f" % (tbcost/nfiles))
        hmean += "%12.2f" % (thmean/nfiles)
        hsdev += "%12.2f" % (thsdev/nfiles)
        smean += "%12.2f" % (tsmean/nfiles)
        ssdev += "%12.2f" % (tssdev/nfiles)
        meand += "%12.2f" % (tmeand/nfiles)
        kval  += "%12.2f" % (tkval/nfiles)

    print fname
    if len(fnam2.strip()) > 0:
        print fnam2
    print ratio
    if len(rat2.strip()) > 0:
        print rat2
    print fptot
    print fpper
    print fntot
    print fnper
    print untot
    print unper
    print rcost
    print bcost
    print hmean
    print hsdev
    print smean
    print ssdev
    print meand
    print kval

if __name__ == "__main__":
    table()

#!/usr/bin/env python

"""
table.py [-m] base1 base2 ... baseN

Combines output from base1.txt, base2.txt, etc., which are created by
the TestDriver (such as timcv.py) output, and displays tabulated
comparison statistics to stdout.  Each input file is represented by
one column in the table.

Optional argument -m shows a final column with the mean value of each
statistic.
"""

# Return
#  (
#   ham tested,
#   spam tested,
#   total f-p,
#   total f-n,
#   total unsure,
#   average f-p rate,
#   average f-n rate,
#   average unsure rate,
#   real cost,
#   best cost,
#   ham score deviation for all runs,
#   spam score deviations for all runs,
# )
# from summary file f.
def suck(f):
    hamdevall = spamdevall = (0.0, 0.0)
    cost = 0.0
    bestcost = 0.0
    fp = 0
    fn = 0
    un = 0
    fpp = 0.0
    fnp = 0.0
    unp = 0.0
    htest = 0
    stest = 0

    get = f.readline
    while 1:
        line = get()
        if line.startswith('-> <stat> tested'):
            # <stat> tested 1910 hams & 948 spams against 2741 hams & 948 spams
            #      1      2    3    4 5   6
            print line,

        elif line.find(' items; mean ') > 0 and line.find('for all runs') > 0:
            # <stat> Ham scores for all runs: 2741 items; mean 0.86; sdev 6.28
            #                                          0          1          2
            vals = line.split(';')
            mean = float(vals[1].split()[-1])
            sdev = float(vals[2].split()[-1])
            val = (mean, sdev)
            ntested = int(vals[0].split()[-2])
            typ = vals[0].split()[2]
            if line.find('for all runs') != -1:
                if typ == 'Ham':
                    hamdevall = val
                    htest = ntested
                else:
                    spamdevall = val
                    stest = ntested

        elif line.startswith('-> best cost for all runs: $'):
            # -> best cost for all runs: $28.20
            bestcost = float(line.split('$')[-1])

        elif line.startswith('-> <stat> all runs false positives: '):
            fp = int(line.split()[-1])

        elif line.startswith('-> <stat> all runs false negatives: '):
            fn = int(line.split()[-1])

        elif line.startswith('-> <stat> all runs unsure: '):
            un = int(line.split()[-1])

        elif line.startswith('-> <stat> all runs false positive %: '):
            fpp = float(line.split()[-1])

        elif line.startswith('-> <stat> all runs false negative %: '):
            fnp = float(line.split()[-1])

        elif line.startswith('-> <stat> all runs unsure %: '):
            unp = float(line.split()[-1])

        elif line.startswith('-> <stat> all runs cost: '):
            cost = float(line.split('$')[-1])
            break

    return (htest, stest, fp, fn, un, fpp, fnp, unp, cost, bestcost,
            hamdevall, spamdevall)

def windowsfy(fn):
    import os
    if os.path.exists(fn + '.txt'):
        return fn + '.txt'
    else:
        return fn

def table():
    import getopt, sys

    showMean = 0

    fname = "filename: "
    fnam2 = "          "
    ratio = "ham:spam: "
    rat2  = "          "
    fptot = "fp total: "
    fpper = "fp %:     "
    fntot = "fn total: "
    fnper = "fn %:     "
    untot = "unsure t: "
    unper = "unsure %: "
    rcost = "real cost:"
    bcost = "best cost:"

    hmean = "h mean:   "
    hsdev = "h sdev:   "
    smean = "s mean:   "
    ssdev = "s sdev:   "
    meand = "mean diff:"
    kval  = "k:        "

    tfptot = tfpper = tfntot = tfnper = tuntot = tunper = trcost = tbcost = \
    thmean = thsdev = tsmean = tssdev = tmeand = tkval =  0

    args, fileargs = getopt.getopt(sys.argv[1:], 'm')
    for arg, val in args:
        if arg == "-m":
            showMean = 1

    for filename in fileargs:
        filename = windowsfy(filename)
        (htest, stest, fp, fn, un, fpp, fnp, unp, cost, bestcost,
         hamdevall, spamdevall) = suck(file(filename))
        if filename.endswith('.txt'):
            filename = filename[:-4]
        filename = filename[filename.rfind('/')+1:]
        filename = filename[filename.rfind("\\")+1:]
        if len(fname) > len(fnam2):
            fname += "            "
            fname = fname[0:(len(fnam2) + 12)]
            fnam2 += " %11s" % filename
        else:
            fnam2 += "            "
            fnam2 = fnam2[0:(len(fname) + 12)]
            fname += " %11s" % filename
        if len(ratio) > len(rat2):
            ratio += "            "
            ratio = ratio[0:(len(rat2) + 12)]
            rat2  += " %11s" % ("%d:%d" % (htest, stest))
        else:
            rat2  += "            "
            rat2  = rat2[0:(len(ratio) + 12)]
            ratio += " %11s" % ("%d:%d" % (htest, stest))
        fptot += "%12d"   % fp
        tfptot += fp
        fpper += "%12.2f" % fpp
        tfpper += fpp
        fntot += "%12d"   % fn
        tfntot += fn
        fnper += "%12.2f" % fnp
        tfnper += fnp
        untot += "%12d"   % un
        tuntot += un
        unper += "%12.2f" % unp
        tunper += unp
        rcost += "%12s"   % ("$%.2f" % cost)
        trcost += cost
        bcost += "%12s"   % ("$%.2f" % bestcost)
        tbcost += bestcost
        hmean += "%12.2f" % hamdevall[0]
        thmean += hamdevall[0]
        hsdev += "%12.2f" % hamdevall[1]
        thsdev += hamdevall[1]
        smean += "%12.2f" % spamdevall[0]
        tsmean += spamdevall[0]
        ssdev += "%12.2f" % spamdevall[1]
        tssdev += spamdevall[1]
        meand += "%12.2f" % (spamdevall[0] - hamdevall[0])
        tmeand += (spamdevall[0] - hamdevall[0])
        k = (spamdevall[0] - hamdevall[0]) / (spamdevall[1] + hamdevall[1])
        kval  += "%12.2f" % k
        tkval  += k

    nfiles = len(fileargs)
    if nfiles and showMean:
        fptot += "%12d"   % (tfptot/nfiles)
        fpper += "%12.2f" % (tfpper/nfiles)
        fntot += "%12d"   % (tfntot/nfiles)
        fnper += "%12.2f" % (tfnper/nfiles)
        untot += "%12d"   % (tuntot/nfiles)
        unper += "%12.2f" % (tunper/nfiles)
        rcost += "%12s"   % ("$%.2f" % (trcost/nfiles))
        bcost += "%12s"   % ("$%.2f" % (tbcost/nfiles))
        hmean += "%12.2f" % (thmean/nfiles)
        hsdev += "%12.2f" % (thsdev/nfiles)
        smean += "%12.2f" % (tsmean/nfiles)
        ssdev += "%12.2f" % (tssdev/nfiles)
        meand += "%12.2f" % (tmeand/nfiles)
        kval  += "%12.2f" % (tkval/nfiles)

    print fname
    if len(fnam2.strip()) > 0:
        print fnam2
    print ratio
    if len(rat2.strip()) > 0:
        print rat2
    print fptot
    print fpper
    print fntot
    print fnper
    print untot
    print unper
    print rcost
    print bcost
    print hmean
    print hsdev
    print smean
    print ssdev
    print meand
    print kval

if __name__ == "__main__":
    table()

#!/usr/bin/env python table.py [-m] base1 base2 ... baseN  Combines output from base1.txt, base2.txt, etc., which are created by the TestDriver (such as timcv.py) output, and displays tabulated comparison statistics to stdout.  Each input file is represented by one column in the table.  Optional argument -m shows a final column with the mean value of each statistic. # Return #  ( #   ham tested, #   spam tested, #   total f-p, #   total f-n, #   total unsure, #   average f-p rate, #   average f-n rate, #   average unsure rate, #   real cost, #   best cost, #   ham score deviation for all runs, #   spam score deviations for all runs, # ) # from summary file f. # <stat> tested 1910 hams & 948 spams against 2741 hams & 948 spams #      1      2    3    4 5   6 # <stat> Ham scores for all runs: 2741 items; mean 0.86; sdev 6.28 #                                          0          1          2 # -> best cost for all runs: $28.20