def index_config(self):
return T.div[
T.input(type='hidden', name='index', value=self.index),
T.div[T.label['X-axis scale:'],
T.input(type='text', name='dt', value=self.dt), ],
T.div[
T.label['Plot Color:'],
T.input(type='text', name='line_color', value=self.line_color),
T.label['Thickness:'],
T.input(type='text',
name='line_thickness',
value=self.line_thickness), ],
T.div[
T.label['Other Run Color:'],
T.
input(type='text', name='other_color', value=self.other_color),
T.label['Thickness:'],
T.input(type='text',
name='other_thickness',
value=self.other_thickness), ],
T.div[T.label['Overlay:'],
T.input(type='text', name='overlay', value=self.overlay),
T.label['Scale:'],
T.input(type='text',
name='overlay_scale',
value=self.overlay_scale), T.label['Color:'],
T.input(type='text',
name='overlay_color',
value=self.overlay_color), T.label['Thickness:'],
T.input(type='text',
name='overlay_thickness',
value=self.overlay_thickness), ], ]
def swi_stats(self, dir, name, bcount=100, conf=0.95):
form = T.form(
action="/stats/%s/%s" % (dir, name),
method="get")[T.label['Confidence Interval:'],
T.input(type='text', name='conf', value=conf),
T.label['Bootstrap Samples:'],
T.input(type='text', name='bcount', value=bcount),
T.input(type='submit', value='Recalculate')]
s = stats.Stats('%s/%s' % (dir, name))
statistics = ['mean', 'median', 'sd']
table = T.table()
row = T.tr[T.th['']]
for stat in statistics:
row[T.th(colspan='3')[stat]]
row[T.th]
table[row]
row = T.tr[T.th['measure']]
for stat in statistics:
row[T.th['low'], T.th['sample'], T.th['high']]
row[T.th]
table[row]
for m in sorted(s.measures()):
sm = s.measure(m)
row = T.tr[T.td[m]]
for stat in statistics:
data = sm.get_stat(stat, int(bcount), float(conf))
if data is None:
row[T.td(), T.td(), T.td()]
else:
if data[1][0] is None: row[T.td()]
else: row[T.td(bgcolor='#EEEEEE')['%f' % data[1][0]]]
if data[0] is None: row[T.td()]
else: row[T.td(bgcolor='#CCCCCC')['%f' % data[0]]]
if data[1][1] is None: row[T.td()]
else: row[T.td(bgcolor='#AAAAAA')['%f' % data[1][1]]]
row[T.td[T.a(href='/rawdata/%s/%s/%s' %
(dir, name, m))['raw data']]]
table[row]
return html(
'%s <small>%s</small>' % (T.a(href='/sim/%s' % dir)[dir], name),
T.div[T.a(href='/graph/%s/%s' % (dir, name))['graph'], T.br, form,
'N=%d' % s.N, table]) #,iframe])
def swi_rawdata(self, dir, name, measure, **keys):
s = stats.Stats('%s/%s' % (dir, name))
data = s.get_raw(measure)
c = ArrayPlotConfig(keys)
page = T.div()
config = T.form(
action="/rawdata/%s/%s/%s" % (dir, name, measure), method="get")[
c.index_bar("/rawdata/%s/%s/%s" %
(dir, name, measure), 'index', len(data)),
c.index_config(), T.br,
c.plot_axis_config(),
T.input(type='submit', value='Update'), ]
params, settings, options, defaults = make_settings_table(dir)
setting = parse_setting_name(name)
params = T.table(border=1)
row1 = T.tr()
row2 = T.tr()
for k, vv in sorted(options.items()):
if len(vv) > 1:
row1[T.th[k]]
values = T.td()
vvlist = list(
sorted(vv, key=lambda x: convert_string_to_value(x)))
for i in range(len(vvlist)):
vvv = vvlist[i]
sval = setting.get(k, defaults[k])
if vvv == sval:
values[T.b[vvv], T.br]
else:
setting2 = dict(setting)
setting2[k] = vvv
name2 = make_setting_name(dir, setting2)
values[T.a(href="/rawdata/%s/%s/%s?%s" %
(dir, name2, measure, c.url_args()))[vvv],
T.br]
row2[values]
params[row1, row2]
if type(data[0]) is float or type(data[0]) is int:
table = T.table()
for d in data:
table[T.tr[T.td[d]]]
page[table,
T.img(src='/histogram/%s/%s/%s' % (dir, name, measure))]
return str(page)
elif type(data[0]) is list and type(data[0][0]) is float:
page[T.a(href='/arrayplot/%s/%s/%s?%s' %
(dir, name, measure, c.url_args(
dpi=300)))[T.img(style='float:right',
src='/arrayplot/%s/%s/%s?%s' %
(dir, name, measure, c.url_args()))],
params, config]
return str(page)
def swi_stats(self,dir,name,bcount=100,conf=0.95):
form=T.form(action="/stats/%s/%s"%(dir,name),method="get")[
T.label['Confidence Interval:'],T.input(type='text',name='conf',value=conf),
T.label['Bootstrap Samples:'],T.input(type='text',name='bcount',value=bcount),
T.input(type='submit',value='Recalculate')
]
s=stats.Stats('%s/%s'%(dir,name))
statistics=['mean','median','sd']
table=T.table()
row=T.tr[T.th['']]
for stat in statistics:
row[T.th(colspan='3')[stat]]
row[T.th]
table[row]
row=T.tr[T.th['measure']]
for stat in statistics:
row[T.th['low'],T.th['sample'],T.th['high']]
row[T.th]
table[row]
for m in sorted(s.measures()):
sm=s.measure(m)
row=T.tr[T.td[m]]
for stat in statistics:
data=sm.get_stat(stat,int(bcount),float(conf))
if data is None:
row[T.td(),T.td(),T.td()]
else:
if data[1][0] is None: row[T.td()]
else: row[T.td(bgcolor='#EEEEEE')['%f'%data[1][0]]]
if data[0] is None: row[T.td()]
else: row[T.td(bgcolor='#CCCCCC')['%f'%data[0]]]
if data[1][1] is None: row[T.td()]
else:row[T.td(bgcolor='#AAAAAA')['%f'%data[1][1]]]
row[T.td[T.a(href='/rawdata/%s/%s/%s'%(dir,name,m))['raw data']]]
table[row]
return html('%s <small>%s</small>'%(T.a(href='/sim/%s'%dir)[dir],name),T.div[T.a(href='/graph/%s/%s'%(dir,name))['graph'],T.br,form,'N=%d'%s.N,table])#,iframe])
def index_config(self):
return T.div[
T.input(type='hidden',name='index',value=self.index),
T.div[
T.label['X-axis scale:'],T.input(type='text',name='dt',value=self.dt),
],
T.div[
T.label['Plot Color:'],T.input(type='text',name='line_color',value=self.line_color),
T.label['Thickness:'],T.input(type='text',name='line_thickness',value=self.line_thickness),
],
T.div[
T.label['Other Run Color:'],T.input(type='text',name='other_color',value=self.other_color),
T.label['Thickness:'],T.input(type='text',name='other_thickness',value=self.other_thickness),
],
T.div[
T.label['Overlay:'],T.input(type='text',name='overlay',value=self.overlay),
T.label['Scale:'],T.input(type='text',name='overlay_scale',value=self.overlay_scale),
T.label['Color:'],T.input(type='text',name='overlay_color',value=self.overlay_color),
T.label['Thickness:'],T.input(type='text',name='overlay_thickness',value=self.overlay_thickness),
],
]
def swi_rawdata(self,dir,name,measure,**keys):
s=stats.Stats('%s/%s'%(dir,name))
data=s.get_raw(measure)
c=ArrayPlotConfig(keys)
page=T.div()
config=T.form(action="/rawdata/%s/%s/%s"%(dir,name,measure),method="get")[
c.index_bar("/rawdata/%s/%s/%s"%(dir,name,measure),'index',len(data)),
c.index_config(),
T.br,
c.plot_axis_config(),
T.input(type='submit',value='Update'),
]
params,settings,options,defaults=make_settings_table(dir)
setting=parse_setting_name(name)
params=T.table(border=1)
row1=T.tr()
row2=T.tr()
for k,vv in sorted(options.items()):
if len(vv)>1:
row1[T.th[k]]
values=T.td()
vvlist=list(sorted(vv,key=lambda x: convert_string_to_value(x)))
for i in range(len(vvlist)):
vvv=vvlist[i]
sval=setting.get(k,defaults[k])
if vvv==sval:
values[T.b[vvv],T.br]
else:
setting2=dict(setting)
setting2[k]=vvv
name2=make_setting_name(dir,setting2)
values[T.a(href="/rawdata/%s/%s/%s?%s"%(dir,name2,measure,c.url_args()))[vvv],T.br]
row2[values]
params[row1,row2]
if type(data[0]) is float or type(data[0]) is int:
table=T.table()
for d in data:
table[T.tr[T.td[d]]]
page[table,T.img(src='/histogram/%s/%s/%s'%(dir,name,measure))]
return str(page)
elif type(data[0]) is list and type(data[0][0]) is float:
page[T.a(href='/arrayplot/%s/%s/%s?%s'%(dir,name,measure,c.url_args(dpi=300)))[T.img(style='float:right',src='/arrayplot/%s/%s/%s?%s'%(dir,name,measure,c.url_args()))],params,config]
return str(page)
def swi_graph(self,
dir,
name,
bcount=100,
conf=0.95,
x=None,
y=None,
multi=None,
m=None,
compare='',
sortby='',
width=8,
height=6,
dpi=80,
xvals='',
yvals='',
multivals='',
contour_n=100,
contour_min='',
contour_max='',
contour_lines=10,
contour_fmt='',
xlabel='',
ylabel='',
xtickrotation='0',
b_left='0.1',
b_bot='0.1',
b_top='0.1',
b_right='0.1'):
measures = m
params, settings, options, defaults = make_settings_table(dir)
setting = parse_setting_name(name)
s = stats.Stats('%s/%s' % (dir, name))
if x not in options or len(options[x]) <= 1: x = None
if y not in options or len(options[y]) <= 1: y = None
if multi not in options or len(options[multi]) <= 1: multi = None
if xvals is '' and x is not None:
xvals = ';'.join(['%s' % xx for xx in sorted(options[x])])
if yvals is '' and y is not None:
yvals = ';'.join(['%s' % yy for yy in sorted(options[y])])
if multivals is '' and multi is not None:
multivals = ';'.join(['%s' % yy for yy in sorted(options[multi])])
if x is None: xvals = ''
if y is None: yvals = ''
if multi is None: multivals = ''
if measures is None:
measures = list(sorted(s.measures()))
if len(measures) > 10: measures = measures[:10]
if type(measures) is str: measures = [measures]
imgargs = combine_args(
dict(bcount=bcount,
conf=conf,
x=x,
y=y,
multi=multi,
m=measures,
compare=compare,
width=width,
height=height,
dpi=dpi,
sortby=sortby,
xvals=xvals,
yvals=yvals,
multivals=multivals,
contour_n=contour_n,
contour_max=contour_max,
contour_min=contour_min,
contour_lines=contour_lines,
contour_fmt=contour_fmt,
xlabel=xlabel,
ylabel=ylabel,
xtickrotation=xtickrotation,
b_top=b_top,
b_bot=b_bot,
b_left=b_left,
b_right=b_right))
f_sort = T.div[T.label['Sort by:'],
T.input(type='text', name='sortby', value=sortby), ]
f_ci = T.div[T.label['Confidence Interval:'],
T.input(type='text', name='conf', value=conf),
T.label['Bootstrap Samples:'],
T.input(type='text', name='bcount', value=bcount), ]
f_compare = T.div[
T.label['Compare to:'],
T.input(type='text', name='compare', value=compare)[''], ]
f_size = T.div[T.label['Width:'],
T.input(type='text', name='width', value=width),
T.label['Height:'],
T.input(type='text', name='height', value=height),
T.label['DPI:'],
T.input(type='text', name='dpi', value=dpi), ]
f_axes = T.div[
T.label['X-Axis:'],
T.select(name='x', onchange='this.form.submit();')[
[T.option(**[{}, dict(selected='y')][x == None])['---']] + [
T.option(**[{}, dict(selected='y')][x == k])[k]
for k, v in sorted(options.items()) if len(v) > 1
]], T.label['values:'],
T.
input(type='text', name='xvals', value=[xvals, ''][xvals == None]),
T.br, T.label['Y-Axis:'],
T.select(name='y', onchange='this.form.submit();')[
[T.option(**[{}, dict(selected='y')][y == None])['---']] + [
T.option(**[{}, dict(selected='y')][y == k])[k]
for k, v in sorted(options.items()) if len(v) > 1
]], T.label['values:'],
T.
input(type='text', name='yvals', value=[yvals, ''][yvals == None]),
T.br, T.label['Multiline:'],
T.select(name='multi', onchange='this.form.submit();')
[[T.option(**[{}, dict(selected='y')][multi == None])['---']] + [
T.option(**[{}, dict(selected='y')][multi == k])[k]
for k, v in sorted(options.items()) if len(v) > 1
]], T.label['values:'],
T.input(type='text',
name='multivals',
value=[multivals, ''][multivals == None]), ]
f_labels = T.div[
T.label['Label X:'],
T.input(type='text', name='xlabel', value=xlabel),
T.label['Label Y:'],
T.input(type='text', name='ylabel', value=ylabel),
T.label['X-tick rotation:'],
T.input(type='text', name='xtickrotation', value=xtickrotation), ]
f_border = T.div[T.label['Left:'],
T.input(type='text', name='b_left', value=b_left),
T.label['Right:'],
T.input(type='text', name='b_right', value=b_right),
T.label['Top:'],
T.input(type='text', name='b_top', value=b_top),
T.label['Bottom:'],
T.input(type='text', name='b_bot', value=b_bot), ]
f_contour = T.div()
if x is not None and y is not None:
f_contour[
T.label['Contour Shading:'],
T.input(type='text', name='contour_n', size=5, value=contour_n
)]
f_contour[T.label['Lines:'],
T.input(type='text',
name='contour_lines',
size=5,
value=contour_lines)]
f_contour[T.br]
f_contour[
T.label['Contour Min:'],
T.input(
type='text', name='contour_min', size=5, value=contour_min
)]
f_contour[
T.label['Max:'],
T.input(
type='text', name='contour_max', size=5, value=contour_max
)]
f_contour[
T.label['Format:'],
T.input(
type='text', name='contour_fmt', size=6, value=contour_fmt
)]
params = T.table(border=1)
row1 = T.tr()
row2 = T.tr()
for k, vv in sorted(options.items()):
if len(vv) > 1:
row1[T.th[k]]
values = T.td()
vvlist = list(
sorted([convert_string_to_value(vvv) for vvv in vv]))
#vvlist=list(sorted(vv))
for i in range(len(vvlist)):
vvv = vvlist[i]
sval = setting.get(k, defaults[k])
if vvv == convert_string_to_value(sval) or vvv == sval:
values[T.b[vvv], T.br]
else:
setting2 = dict(setting)
setting2[k] = vvv
name2 = make_setting_name(dir, setting2)
values[T.a(href="/graph/%s/%s?%s" %
(dir, name2, imgargs))[vvv], T.br]
row2[values]
params[row1, row2]
f_measures = T.select(multiple='y', size=20, name='m')
for m in sorted(s.measures()):
if m in measures:
opt = T.option(value=m, selected='y')[m]
else:
opt = T.option(value=m)[m]
f_measures[opt]
src = '/graphpng/%s/%s?%s' % (dir, name, imgargs)
img = T.a(href=src + '&dpi=300')[T.img(src=src, style='float:right')]
form = T.form(
action="/graph/%s/%s" % (dir, name),
method="get")[img,
T.a(href='/stats/%s/%s' % (dir, name))['data'],
params, f_axes, f_contour, f_measures,
T.input(type='submit', value='Recalculate'), f_sort,
T.br, f_ci, T.br, #'N=%d'%s.N,T.br,
f_compare, T.br, f_size, T.br, f_labels, T.br,
f_border, T.br,
T.input(type='submit', value='Recalculate')]
return html(
'%s <small>%s</small>' % (T.a(href='/sim/%s' % dir)[dir], name),
form)
def plot_axis_config(self):
return T.div[
T.div[T.label['Width:'],
T.input(type='text', name='width', value=self.width),
T.label['Height:'],
T.input(type='text', name='height', value=self.height),
T.label['DPI:'],
T.input(type='text', name='dpi', value=self.dpi), ],
T.div[T.label['Label X:'],
T.input(type='text', name='xlabel', value=self.xlabel),
T.label['Label Y:'],
T.input(type='text', name='ylabel', value=self.ylabel),
T.label['X-tick rotation:'],
T.input(type='text',
name='xtickrotation',
value=self.xtickrotation), ],
T.div[T.label['X Limits:'],
T.input(type='text', name='xlim', value=self.xlim),
T.label['Y Limits:'],
T.input(type='text', name='ylim', value=self.ylim), ],
T.div[T.label['Left:'],
T.input(type='text', name='b_left', value=self.b_left),
T.label['Right:'],
T.input(type='text', name='b_right', value=self.b_right),
T.label['Top:'],
T.input(type='text', name='b_top', value=self.b_top),
T.label['Bottom:'],
T.input(type='text', name='b_bot', value=self.b_bot), ], ]
def swi_graph(self,dir,name,bcount=100,conf=0.95,x=None,y=None,multi=None,m=None,compare='',sortby='',width=8,height=6,dpi=80,
xvals='',yvals='',multivals='',contour_n=100,contour_min='',contour_max='',contour_lines=10,contour_fmt='',xlabel='',ylabel='',
xtickrotation='0',b_left='0.1',b_bot='0.1',b_top='0.1',b_right='0.1'):
measures=m
params,settings,options,defaults=make_settings_table(dir)
setting=parse_setting_name(name)
s=stats.Stats('%s/%s'%(dir,name))
if x not in options or len(options[x])<=1: x=None
if y not in options or len(options[y])<=1: y=None
if multi not in options or len(options[multi])<=1: multi=None
if xvals is '' and x is not None:
xvals=';'.join(['%s'%xx for xx in sorted(options[x])])
if yvals is '' and y is not None:
yvals=';'.join(['%s'%yy for yy in sorted(options[y])])
if multivals is '' and multi is not None:
multivals=';'.join(['%s'%yy for yy in sorted(options[multi])])
if x is None: xvals=''
if y is None: yvals=''
if multi is None: multivals=''
if measures is None:
measures=list(sorted(s.measures()))
if len(measures)>10: measures=measures[:10]
if type(measures) is str: measures=[measures]
imgargs=combine_args(dict(bcount=bcount,conf=conf,x=x,y=y,multi=multi,m=measures,compare=compare,width=width,height=height,dpi=dpi,
sortby=sortby,xvals=xvals,yvals=yvals,multivals=multivals,contour_n=contour_n,contour_max=contour_max,contour_min=contour_min,contour_lines=contour_lines,contour_fmt=contour_fmt,
xlabel=xlabel,ylabel=ylabel,xtickrotation=xtickrotation,b_top=b_top,b_bot=b_bot,b_left=b_left,b_right=b_right))
f_sort=T.div[
T.label['Sort by:'],T.input(type='text',name='sortby',value=sortby),
]
f_ci=T.div[
T.label['Confidence Interval:'],T.input(type='text',name='conf',value=conf),
T.label['Bootstrap Samples:'],T.input(type='text',name='bcount',value=bcount),
]
f_compare=T.div[
T.label['Compare to:'],T.input(type='text',name='compare',value=compare)[''],
]
f_size=T.div[
T.label['Width:'],T.input(type='text',name='width',value=width),
T.label['Height:'],T.input(type='text',name='height',value=height),
T.label['DPI:'],T.input(type='text',name='dpi',value=dpi),
]
f_axes=T.div[
T.label['X-Axis:'],T.select(name='x',onchange='this.form.submit();')[[T.option(**[{},dict(selected='y')][x==None])['---']]+[T.option(**[{},dict(selected='y')][x==k])[k] for k,v in sorted(options.items()) if len(v)>1]],
T.label['values:'],T.input(type='text',name='xvals',value=[xvals,''][xvals==None]),
T.br,
T.label['Y-Axis:'],T.select(name='y',onchange='this.form.submit();')[[T.option(**[{},dict(selected='y')][y==None])['---']]+[T.option(**[{},dict(selected='y')][y==k])[k] for k,v in sorted(options.items()) if len(v)>1]],
T.label['values:'],T.input(type='text',name='yvals',value=[yvals,''][yvals==None]),
T.br,
T.label['Multiline:'],T.select(name='multi',onchange='this.form.submit();')[[T.option(**[{},dict(selected='y')][multi==None])['---']]+[T.option(**[{},dict(selected='y')][multi==k])[k] for k,v in sorted(options.items()) if len(v)>1]],
T.label['values:'],T.input(type='text',name='multivals',value=[multivals,''][multivals==None]),
]
f_labels=T.div[
T.label['Label X:'],T.input(type='text',name='xlabel',value=xlabel),
T.label['Label Y:'],T.input(type='text',name='ylabel',value=ylabel),
T.label['X-tick rotation:'],T.input(type='text',name='xtickrotation',value=xtickrotation),
]
f_border=T.div[
T.label['Left:'],T.input(type='text',name='b_left',value=b_left),
T.label['Right:'],T.input(type='text',name='b_right',value=b_right),
T.label['Top:'],T.input(type='text',name='b_top',value=b_top),
T.label['Bottom:'],T.input(type='text',name='b_bot',value=b_bot),
]
f_contour=T.div()
if x is not None and y is not None:
f_contour[T.label['Contour Shading:'],T.input(type='text',name='contour_n',size=5,value=contour_n)]
f_contour[T.label['Lines:'],T.input(type='text',name='contour_lines',size=5,value=contour_lines)]
f_contour[T.br]
f_contour[T.label['Contour Min:'],T.input(type='text',name='contour_min',size=5,value=contour_min)]
f_contour[T.label['Max:'],T.input(type='text',name='contour_max',size=5,value=contour_max)]
f_contour[T.label['Format:'],T.input(type='text',name='contour_fmt',size=6,value=contour_fmt)]
params=T.table(border=1)
row1=T.tr()
row2=T.tr()
for k,vv in sorted(options.items()):
if len(vv)>1:
row1[T.th[k]]
values=T.td()
vvlist=list(sorted([convert_string_to_value(vvv) for vvv in vv]))
#vvlist=list(sorted(vv))
for i in range(len(vvlist)):
vvv=vvlist[i]
sval=setting.get(k,defaults[k])
if vvv==convert_string_to_value(sval) or vvv==sval:
values[T.b[vvv],T.br]
else:
setting2=dict(setting)
setting2[k]=vvv
name2=make_setting_name(dir,setting2)
values[T.a(href="/graph/%s/%s?%s"%(dir,name2,imgargs))[vvv],T.br]
row2[values]
params[row1,row2]
f_measures=T.select(multiple='y',size=20,name='m')
for m in sorted(s.measures()):
if m in measures:
opt=T.option(value=m,selected='y')[m]
else:
opt=T.option(value=m)[m]
f_measures[opt]
src='/graphpng/%s/%s?%s'%(dir,name,imgargs)
img=T.a(href=src+'&dpi=300')[T.img(src=src,style='float:right')]
form=T.form(action="/graph/%s/%s"%(dir,name),method="get")[
img,
T.a(href='/stats/%s/%s'%(dir,name))['data'],
params,
f_axes,
f_contour,
f_measures,T.input(type='submit',value='Recalculate'),
f_sort,T.br,
f_ci,T.br,#'N=%d'%s.N,T.br,
f_compare,T.br,
f_size,T.br,
f_labels,T.br,
f_border,T.br,
T.input(type='submit',value='Recalculate')
]
return html('%s <small>%s</small>'%(T.a(href='/sim/%s'%dir)[dir],name),form)
def plot_axis_config(self):
return T.div[
T.div[
T.label['Width:'],T.input(type='text',name='width',value=self.width),
T.label['Height:'],T.input(type='text',name='height',value=self.height),
T.label['DPI:'],T.input(type='text',name='dpi',value=self.dpi),
],
T.div[
T.label['Label X:'],T.input(type='text',name='xlabel',value=self.xlabel),
T.label['Label Y:'],T.input(type='text',name='ylabel',value=self.ylabel),
T.label['X-tick rotation:'],T.input(type='text',name='xtickrotation',value=self.xtickrotation),
],
T.div[
T.label['X Limits:'],T.input(type='text',name='xlim',value=self.xlim),
T.label['Y Limits:'],T.input(type='text',name='ylim',value=self.ylim),
],
T.div[
T.label['Left:'],T.input(type='text',name='b_left',value=self.b_left),
T.label['Right:'],T.input(type='text',name='b_right',value=self.b_right),
T.label['Top:'],T.input(type='text',name='b_top',value=self.b_top),
T.label['Bottom:'],T.input(type='text',name='b_bot',value=self.b_bot),
],
]