def array2Dtable(sols, verbose=1, titlestr=None):
""" Generate HTML table with information about for a list of designs """
na = len(sols)
page = markup.page()
page.table(style=' border-collapse: collapse;')
page.tr(style='font-weight: bold; border-bottom: solid 1px black;')
page.th('Array', style='padding-right:30px; ')
page.th(('D-efficiency', 'Ds-efficiency', 'D1-efficiency'),
style='padding-right:14px;')
page.th(('GWLP'), style='padding-right:14px;')
page.tr.close()
for ii, al in enumerate(sols):
aidx = ii
(D, Ds, D1) = al.Defficiencies()
gwlp = al.GWLP()
page.tr(style='font-weight: normal;')
page.td('%d' % aidx, style='padding-right:10px;')
for v in [D, Ds, D1]:
page.td('%.4f' % v, style='padding-right:1px;')
gstr = oahelper.gwlp2str(gwlp)
page.td(e.small(gstr), style='padding-right:1px;')
page.tr.close()
page.table.close()
# page.p.close()
return page
def array2Dtable(array_list, verbose=1, titlestr=None):
""" Generate HTML table with information about for a list of designs
Args:
array_list (list): list of arrays
verbose (int): verbosity level
"""
page = markup.page()
page.table(style=' border-collapse: collapse;')
page.tr(style='font-weight: bold; border-bottom: solid 1px black;')
page.th('Array', style='padding-right:30px; ')
page.th(('D-efficiency', 'Ds-efficiency', 'D1-efficiency'),
style='padding-right:14px;')
page.th(('GWLP'), style='padding-right:14px;')
page.tr.close()
for ii, al in enumerate(array_list):
aidx = ii
(D, Ds, D1) = al.Defficiencies()
gwlp = al.GWLP()
page.tr(style='font-weight: normal;')
page.td('%d' % aidx, style='padding-right:10px;')
for statistic in [D, Ds, D1]:
page.td('%.4f' % statistic, style='padding-right:1px;')
gstr = oahelper.gwlp2str(gwlp)
page.td(e.small(gstr), style='padding-right:1px;')
page.tr.close()
page.table.close()
return page
def generateDpage(outputdir,
arrayclass,
dds,
allarrays,
fig=20,
optimfunc=[1, 0, 0],
nofig=False,
urlprefix='',
makeheader=True,
verbose=1,
lbls=None):
""" Helper function to generate web page with D-optimal design results """
if verbose:
print('generateDpage: dds %s' % str(dds.shape))
pp = oahelper.createPareto(dds)
narrays = dds.shape[0]
npareto = pp.number()
if verbose:
print('generateDpage: narrays %d' % narrays)
xstr = oahelper.series2htmlstr(arrayclass, case=1)
xstrplain = oahelper.series2htmlstr(arrayclass, html=0, case=1)
if verbose:
print('generateDpage: selectParetoArrays ')
paretoarrays = oahelper.selectParetoArrays(allarrays, pp)
at = array2Dtable(paretoarrays, verbose=1)
if verbose:
print('generateDpage: write file with Pareto arrays')
pfile0 = 'paretoarrays.oa'
pfile = os.path.join(outputdir, pfile0)
oalib.writearrayfile(pfile, paretoarrays)
istrlnk = markup.oneliner.a('paretoarrays.oa', href=urlprefix + pfile0)
if lbls is None:
lbls = ['Optimization of $D$']
hh = generateDscatter(dds, lbls=lbls, fig=fig, nofig=nofig)
oahelper.niceplot(hh.get('ax', None), despine=True, legend=hh['pltlegend'])
scatterfile = os.path.join(outputdir, 'scatterplot.png')
if verbose:
print('generateDpage: writen scatterplot to %s' % scatterfile)
plt.savefig(scatterfile, bbox_inches='tight', pad_inches=0.25, dpi=160)
#%% Create page
page = markup.page()
if makeheader:
page.init(
title="Class %s" % xstrplain,
css=('../oastyle.css'),
lang='en',
htmlattrs=dict({
'xmlns': 'http://www.w3.org/1999/xhtml',
'xml:lang': 'en'
}),
header="<!-- Start of page -->",
bodyattrs=dict({'style': 'padding-left: 3px;'}),
# doctype=markup.doctype.strict,
doctype=
'<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">',
metainfo=({
'text/html': 'charset=utf-8',
'keywords': 'orthogonal arrays designs',
'robots': 'index, follow',
'description': 'Even-Odd arrays'
}),
footer="<!-- End of page -->")
page.h1('Results for array class %s ' % xstr)
# mathjax is not updated properly...
ss = 'The Pareto optimaly was calculated according to the statistics \(D\), \(D1\) and \(Ds\).'
ss = 'The Pareto optimaly was calculated according to the statistics D, D<sub>1</sub> and D<sub>s</sub>.'
if npareto == 1:
page.p('Generated %d arrays, %d is Pareto optimal. %s' %
(narrays, npareto, ss))
else:
page.p('Generated %d arrays, %d are Pareto optimal. %s' %
(narrays, npareto, ss))
if narrays > 0:
scores = calcScore(dds, optimfunc)
tmp, dd, sols = selectDn(scores, dds, allarrays, nout=1)
A = sols[0]
bestdesignfile = os.path.join(outputdir, 'best-design.oa')
oalib.writearrayfile(bestdesignfile, A)
page.h2('Best design')
page.p('The best design: %s.' % e.a(
'best-design.oa', href=os.path.join(urlprefix, 'best-design.oa')))
page.p()
dd = dd[0]
page.span('D-efficiency: %.4f, ' % A.Defficiency()) # page.br()
page.span('D<sub>s</sub>-efficiency: %.4f, ' % dd[1]) # page.br()
page.span('D<sub>1</sub>-efficiency: %.4f' % dd[2])
page.br()
page.span('A-efficiency: %.3f' % A.Aefficiency())
page.br()
gwlp = A.GWLP()
# gwlp=','.join(['%.3f' % xq for xq in gwlp])
gwlp = oahelper.gwlp2str(gwlp, jstr=', ')
page.span('Generalized wordlength pattern: %s' % gwlp)
page.br()
# page.p('D-efficiency: %.3f' % A.Defficiency() )
pec = oalib.PECsequence(A)
pec = ','.join(['%.3f' % xq for xq in pec])
page.span('PEC-sequence: %s' % pec)
page.br()
page.h2('Table of Pareto optimal arrays ')
page.span(str(at))
page.p('All Pareto optimal arrays: %s' % istrlnk)
page.img(
src=urlprefix + 'scatterplot.png',
style=
"margin: 10px; width:95%; min-width: 300px; max-width:1100px; height: auto; "
)
citationstr = markup.oneliner.a(
'Complete Enumeration of Pure-Level and Mixed-Level Orthogonal Arrays',
href='http://dx.doi.org/10.1002/jcd.20236')
page.br(clear='both')
page.p(
'Citation notice: if you make use of the results on this page, please cite the following paper:'
)
page.p(
'%s, Journal of Combinatorial Designs, Volume 18, Issue 2, pages 123-140, 2010.'
% citationstr)
page.p('Generated with oapackage %s, date %s.' %
(oalib.version(), oahelper.timeString()))
outfile = os.path.join(outputdir, 'Dresults.html')
fid = open(outfile, 'wt')
fid.write(str(page))
fid.close()
print('written to file %s' % outfile)
return outfile
def generateDpage(outputdir, arrayclass, dds, allarrays, fig=20, optimfunc=[1, 0, 0],
nofig=False, urlprefix='', makeheader=True, verbose=1, lbls=None):
""" Helper function to generate web page with D-optimal design results """
if verbose:
print('generateDpage: dds %s' % str(dds.shape))
pp = oahelper.createPareto(dds)
narrays = dds.shape[0]
npareto = pp.number()
if verbose:
print('generateDpage: narrays %d' % narrays)
xstr = oahelper.series2htmlstr(arrayclass, case=1)
xstrplain = oahelper.series2htmlstr(arrayclass, html=0, case=1)
if verbose:
print('generateDpage: selectParetoArrays ')
paretoarrays = oahelper.selectParetoArrays(allarrays, pp)
at = array2Dtable(paretoarrays, verbose=1)
if verbose:
print('generateDpage: write file with Pareto arrays')
pfile0 = 'paretoarrays.oa'
pfile = os.path.join(outputdir, pfile0)
oalib.writearrayfile(pfile, paretoarrays)
istrlnk = markup.oneliner.a('paretoarrays.oa', href=urlprefix + pfile0)
if lbls is None:
lbls = ['Optimization of $D$']
if fig is not None:
hh = generateDscatter(dds, lbls=lbls, fig=fig, nofig=nofig)
oahelper.niceplot(hh.get('ax', None), despine=True, legend=hh['pltlegend'])
scatterfile = os.path.join(outputdir, 'scatterplot.png')
if verbose:
print('generateDpage: writen scatterplot to %s' % scatterfile)
plt.savefig(scatterfile, bbox_inches='tight', pad_inches=0.25, dpi=160)
page = markup.page()
if makeheader:
page.init(title="Class %s" % xstrplain,
css=('../oastyle.css'),
lang='en', htmlattrs=dict({'xmlns': 'http://www.w3.org/1999/xhtml', 'xml:lang': 'en'}),
header="<!-- Start of page -->",
bodyattrs=dict({'style': 'padding-left: 3px;'}),
doctype='<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">',
metainfo=({'text/html': 'charset=utf-8', 'keywords': 'orthogonal arrays designs',
'robots': 'index, follow', 'description': 'Even-Odd arrays'}),
footer="<!-- End of page -->")
page.h1('Results for array class %s ' % xstr)
ss = r'The Pareto optimaly was calculated according to the statistics D, D<sub>1</sub> and D<sub>s</sub>.'
if npareto == 1:
page.p('Generated %d arrays, %d is Pareto optimal. %s' %
(narrays, npareto, ss))
else:
page.p('Generated %d arrays, %d are Pareto optimal. %s' %
(narrays, npareto, ss))
if narrays > 0:
scores = calcScore(dds, optimfunc)
_, dd, sols = selectDn(scores, dds, allarrays, nout=1)
A = sols[0]
bestdesignfile = os.path.join(outputdir, 'best-design.oa')
oalib.writearrayfile(bestdesignfile, A)
page.h2('Best design')
page.p('The best design: %s.' %
e.a('best-design.oa', href=os.path.join(urlprefix, 'best-design.oa')))
page.p()
dd = dd[0]
page.span('D-efficiency: %.4f, ' % A.Defficiency()) # page.br()
page.span('D<sub>s</sub>-efficiency: %.4f, ' % dd[1]) # page.br()
page.span('D<sub>1</sub>-efficiency: %.4f' % dd[2])
page.br()
page.span('A-efficiency: %.3f' % A.Aefficiency())
page.br()
gwlp = A.GWLP()
# gwlp=','.join(['%.3f' % xq for xq in gwlp])
gwlp = oahelper.gwlp2str(gwlp, jstr=', ')
page.span('Generalized wordlength pattern: %s' % gwlp)
page.br()
# page.p('D-efficiency: %.3f' % A.Defficiency() )
pec = oalib.PECsequence(A)
pec = ','.join(['%.3f' % xq for xq in pec])
page.span('PEC-sequence: %s' % pec)
page.br()
page.h2('Table of Pareto optimal arrays ')
page.span(str(at))
page.p('All Pareto optimal arrays: %s' % istrlnk)
page.img(src=urlprefix + 'scatterplot.png',
style="margin: 10px; width:95%; min-width: 300px; max-width:1100px; height: auto; ")
citationstr = markup.oneliner.a(
'Complete Enumeration of Pure-Level and Mixed-Level Orthogonal Arrays', href='https://doi.org/10.1002/jcd.20236')
page.br(clear='both')
page.p(
'Citation notice: if you make use of the results on this page, please cite the following paper:')
page.p('%s, Journal of Combinatorial Designs, Volume 18, Issue 2, pages 123-140, 2010.' %
citationstr)
page.p('Generated with oapackage %s, date %s.' %
(oalib.version(), oahelper.timeString()))
outfile = os.path.join(outputdir, 'Dresults.html')
fid = open(outfile, 'wt')
fid.write(str(page))
fid.close()
print('written to file %s' % outfile)
return outfile