def generic_report(r, dp, trace, annotation=None, axis0=(0, 0, 0, 0)):
R = dp.get_res_space()
UR = UpperSets(R)
plotters = get_all_available_plotters()
with r.subsection('S', caption='S') as rr:
space = trace.S
sequence = trace.get_s_sequence()
generic_try_plotters(rr,
plotters,
space,
sequence,
axis0=axis0,
annotation=annotation)
with r.subsection('R', caption='R') as rr:
space = UR
sequence = trace.get_r_sequence()
generic_try_plotters(rr,
plotters,
space,
sequence,
axis0=axis0,
annotation=annotation)
def generic_plot(f, space, value):
plotters = get_all_available_plotters()
es = []
for name, plotter in plotters.items():
try:
plotter.check_plot_space(space)
except NotPlottable as e:
es.append(e)
# print('Plotter %r cannot plot %r:\n%s' % (name, space, e))
continue
axis = plotter.axis_for_sequence(space, [value])
axis = enlarge(axis, 0.15)
#print('enlarged: %s' % str(axis))
with f.plot(name) as pylab:
plotter.plot(pylab, axis, space, value, params={})
pylab.axis(axis)
def generic_plot(f, space, value):
plotters = get_all_available_plotters()
es = []
for name, plotter in plotters.items():
try:
plotter.check_plot_space(space)
except NotPlottable as e:
es.append(e)
# print('Plotter %r cannot plot %r:\n%s' % (name, space, e))
continue
axis = plotter.axis_for_sequence(space, [value])
axis = enlarge(axis, 0.15)
#print('enlarged: %s' % str(axis))
with f.plot(name) as pylab:
plotter.plot(pylab, axis, space, value, params={})
pylab.axis(axis)
def generic_report(r, dp, trace, annotation=None, axis0=(0, 0, 0, 0)):
R = dp.get_res_space()
UR = UpperSets(R)
plotters = get_all_available_plotters()
with r.subsection('S', caption='S') as rr:
space = trace.S
sequence = trace.get_s_sequence()
generic_try_plotters(rr, plotters, space, sequence, axis0=axis0,
annotation=annotation)
with r.subsection('R', caption='R') as rr:
space = UR
sequence = trace.get_r_sequence()
generic_try_plotters(rr, plotters, space, sequence, axis0=axis0,
annotation=annotation)
def plot_value_generic(tag, vu): # @UnusedVariable
r = Report()
f = r.figure()
try:
available = dict(get_plotters(get_all_available_plotters(), vu.unit))
assert available
except NotPlottable as e:
msg = 'No plotters available for %s' % vu.unit
raise_wrapped(ValueError, e, msg, compact=True)
plotter = list(available.values())[0]
axis = plotter.axis_for_sequence(vu.unit, [vu.value])
axis = enlarge(axis, 0.15)
with f.plot('generic') as pylab:
plotter.plot(pylab, axis, vu.unit, vu.value, params={})
pylab.axis(axis)
png_node = r.resolve_url('png')
png = png_node.get_raw_data()
return png
def plot_value_generic(tag, vu): # @UnusedVariable
r = Report()
f = r.figure()
try:
available = dict(
get_plotters(get_all_available_plotters(), vu.unit))
assert available
except NotPlottable as e:
msg = 'No plotters available for %s' % vu.unit
raise_wrapped(ValueError, e, msg, compact=True)
plotter = list(available.values())[0]
axis = plotter.axis_for_sequence(vu.unit, [vu.value])
axis = enlarge(axis, 0.15)
with f.plot('generic') as pylab:
plotter.plot(pylab, axis, vu.unit, vu.value, params={})
pylab.axis(axis)
png_node = r.resolve_url('png')
png = png_node.get_raw_data()
return png
def _report_loop_sequence(report, R, sips, converged, do_movie):
"""
Returns a dictionary dict(str: list of png data)
"""
sequences = {}
UR = UpperSets(R)
from matplotlib import pylab
ieee_fonts(pylab)
RepRepDefaults.savefig_params = dict(dpi=400,
bbox_inches='tight',
pad_inches=0.01,
transparent=False)
figsize = (2, 2)
try:
available_plotters = list(
get_plotters(get_all_available_plotters(), UR))
except NotPlottable as e:
msg = 'Could not find plotter for space UR = %s.' % UR
raise_wrapped(DPInternalError, e, msg, UR=UR, compact=True)
with report.subsection('sip') as r2:
for name, plotter in available_plotters:
sequences[name] = [] # sequence of png
f = r2.figure(name, cols=5)
axis = plotter.axis_for_sequence(UR, sips)
axis = list(axis)
axis[0] = 0.0
axis[2] = 0.0
axis[1] = min(axis[1], 1000.0)
axis[3] = min(axis[3], 1000.0)
axis = tuple(axis)
visualized_axis = enlarge(axis, extra_space_top * 2)
for i, sip in enumerate(sips):
with f.plot('step%03d' % i, figsize=figsize) as pylab:
logger.debug('Plotting iteration %d/%d' % (i, len(sips)))
ieee_spines(pylab)
c_orange = '#FFA500'
c_red = [1, 0.5, 0.5]
plotter.plot(pylab,
axis,
UR,
R.U(R.get_bottom()),
params=dict(color_shadow=c_red, markers=None))
marker_params = dict(markersize=5, markeredgecolor='none')
plotter.plot(pylab,
axis,
UR,
sip,
params=dict(color_shadow=c_orange,
markers_params=marker_params))
conv = converged[i]
c_blue = [0.6, 0.6, 1.0]
plotter.plot(pylab,
axis,
UR,
conv,
params=dict(color_shadow=c_blue))
for c in conv.minimals:
p = plotter.toR2(c)
pylab.plot(p[0],
p[1],
'go',
markersize=5,
markeredgecolor='none',
markerfacecolor='g',
clip_on=False)
pylab.axis(visualized_axis)
from mcdp_ipython_utils.plotting import color_resources, set_axis_colors
set_axis_colors(pylab, color_resources, color_resources)
if do_movie:
node = f.resolve_url('step%03d/png' % i)
png = node.raw_data
sequences[name].append(png)
return sequences
def _report_loop_sequence(report, R, sips, converged, do_movie):
"""
Returns a dictionary dict(str: list of png data)
"""
sequences = {}
UR = UpperSets(R)
from matplotlib import pylab
ieee_fonts(pylab)
RepRepDefaults.savefig_params = dict(dpi=400, bbox_inches='tight',
pad_inches=0.01, transparent=False)
figsize = (2, 2)
try:
available_plotters = list(get_plotters(get_all_available_plotters(), UR))
except NotPlottable as e:
msg = 'Could not find plotter for space UR = %s.' % UR
raise_wrapped(DPInternalError, e, msg , UR=UR, compact=True)
with report.subsection('sip') as r2:
for name, plotter in available_plotters:
sequences[name] = [] # sequence of png
f = r2.figure(name, cols=5)
axis = plotter.axis_for_sequence(UR, sips)
axis = list(axis)
axis[0] = 0.0
axis[2] = 0.0
axis[1] = min(axis[1], 1000.0)
axis[3] = min(axis[3], 1000.0)
axis = tuple(axis)
visualized_axis = enlarge(axis, extra_space_top * 2)
for i, sip in enumerate(sips):
with f.plot('step%03d' % i, figsize=figsize) as pylab:
logger.debug('Plotting iteration %d/%d' % (i, len(sips)))
ieee_spines(pylab)
c_orange = '#FFA500'
c_red = [1, 0.5, 0.5]
plotter.plot(pylab, axis, UR, R.U(R.get_bottom()),
params=dict(color_shadow=c_red, markers=None))
marker_params = dict(markersize=5, markeredgecolor='none')
plotter.plot(pylab, axis, UR, sip,
params=dict(color_shadow=c_orange,
markers_params=marker_params))
conv = converged[i]
c_blue = [0.6, 0.6, 1.0]
plotter.plot(pylab, axis, UR, conv,
params=dict(color_shadow=c_blue))
for c in conv.minimals:
p = plotter.toR2(c)
pylab.plot(p[0], p[1], 'go',
markersize=5, markeredgecolor='none',
markerfacecolor='g', clip_on=False)
pylab.axis(visualized_axis)
from mcdp_ipython_utils.plotting import color_resources, set_axis_colors
set_axis_colors(pylab, color_resources, color_resources)
if do_movie:
node = f.resolve_url('step%03d/png' % i)
png = node.raw_data
sequences[name].append(png)
return sequences
