def __init__(self, window_provider):
title = "Set RNG seed"
super().__init__(title, window_provider)
def window_provider(title):
return self.window.internal_renderer
self.form = FormController(window_provider)
seed = self.s.get('seed')
if seed is None:
seed = ''
self.form.add_element('seed',
Section("Seed", Input(True, nonenint, seed)))
self.submitted = False
cancel = self.form.get_button('cancel', "Cancel", self.remove)
submit = self.form.get_button('submit', "Submit", self.submit)
self.form.set_action_button('cancel', cancel)
self.form.set_action_button('submit', submit)
self.form.add_element('buttons', DoubleSection(submit, cancel))
self.form.start()
def __init__(self, window_provider):
title = "Create Synthetic Datafile"
super().__init__(title, window_provider)
def window_provider(title):
return self.window.internal_renderer
self.form = FormController(window_provider)
def dist_options_provider():
from datafiles.distribution import all_distributions
distributions = {}
for d in all_distributions:
distributions[d] = d
return distributions
dist_select = Select(True, dist_options_provider)
dist_section = Section("Distribution", dist_select)
self.form.add_element('dist', dist_section)
self.form.add_element('samples', Section("Samples", Input(True, int, 1500)))
self.form.add_element('break1', SectionBreak())
all_params = {}
for dist, params in param_map.items():
for p in params:
if p not in all_params.keys():
inp = Input(True, myfloat, 1)
self.form.add_element(p, Section(p, inp))
all_params[p] = inp
self.form.add_element('break2', SectionBreak())
self.form.add_element('loc', Section("Mean", Input(True, myfloat, 0)))
self.form.add_element('scale', Section("Standard deviation", Input(True, nfloat, 2)))
def on_dist_change(old_value, new_value, is_valid=True):
for inp in all_params.values():
inp.disappear()
if new_value is not None:
for p in param_map[new_value]:
all_params[p].changed()
all_params[p].show()
dist_select.on_change(on_dist_change)
on_dist_change(None, None)
self.submitted = False
cancel = self.form.get_button('cancel', "Cancel", self.remove)
submit = self.form.get_button('submit', "Submit", self.submit)
self.form.set_action_button('cancel', cancel)
self.form.set_action_button('submit', submit)
self.form.add_element('buttons', DoubleSection(submit, cancel))
self.form.start()
def __init__(self, window_provider, data_controller):
title = "Plot data"
super().__init__(title, window_provider)
self.data_controller = data_controller
def window_provider(title):
return self.window.internal_renderer
self.form = FormController(window_provider)
def datafile_options_provider():
datafiles = self.s.get('datafiles')
datafile_options = {}
for d in datafiles:
datafile_options[d] = d
return datafile_options
x_axis = Section("X Axis",
Select(True, data_controller.get_x_axis_options()))
self.form.add_element('x', x_axis)
y_axis = Section("Y Axis",
Select(True, data_controller.get_y_axis_options()))
self.form.add_element('y', y_axis)
style = Section(
"Style",
Select(True, {
'lines': 'Lines',
'dots': "Dots",
'bars': "Bars"
}))
self.form.add_element('style', style)
cancel = self.form.get_button('cancel', "Cancel", self.remove)
submit = self.form.get_button('submit', "Plot", self.submit)
self.form.set_action_button('cancel', cancel)
self.form.set_action_button('submit', submit)
self.form.add_element('buttons', DoubleSection(submit, cancel))
self.form.start()
def __init__(self, window_provider):
title = "Run repeated experiment"
super().__init__(title, window_provider)
def window_provider(title):
return self.window.internal_renderer
self.form = FormController(window_provider)
iterations_input = Section("Iterations", Input(True, pint, 100))
self.form.add_element('iterations', iterations_input)
self.form.add_element('break1', SectionBreak())
def dist_options_provider():
from datafiles.distribution import all_distributions
distributions = {}
for d in all_distributions:
distributions[d] = d
return distributions
dist_select = Select(True, dist_options_provider)
dist_section = Section("Distribution", dist_select)
self.form.add_element('dist', dist_section)
self.form.add_element('samples',
Section("Samples", Input(True, int, 1500)))
self.form.add_element('break1', SectionBreak())
all_params = {}
for dist, params in param_map.items():
for p in params:
if p not in all_params.keys():
inp = Input(True, myfloat, 1)
self.form.add_element(p, Section(p, inp))
all_params[p] = inp
self.form.add_element('break2', SectionBreak())
self.form.add_element('loc', Section("Mean", Input(True, myfloat, 0)))
self.form.add_element(
'scale', Section("Standard deviation", Input(True, nfloat, 2)))
def on_dist_change(old_value, new_value, is_valid=True):
for inp in all_params.values():
inp.disappear()
if new_value is not None:
for p in param_map[new_value]:
all_params[p].changed()
all_params[p].show()
dist_select.on_change(on_dist_change)
on_dist_change(None, None)
def get_estimator_options():
keys = Estimators.get_all()
options = {}
for key in keys:
options[key] = key.get_name()
options['all'] = "All"
return options
estimator_select = Section("Estimator",
Select(True, get_estimator_options))
self.form.add_element('estimator', estimator_select)
self.form.add_element('break3', SectionBreak())
min_parameters = Estimators.get_all_inputs(None)
max_parameters = Estimators.get_all_inputs(None)
names = Estimators.get_all_input_names()
simple_parameters = ['bins_method', 'kernel']
range_parameters = ['neighbors', 'bins', 'bin_population', 'bandwidth']
for p in simple_parameters:
self.form.add_element(p, Section(names[p], min_parameters[p]))
for p in range_parameters:
self.form.add_element(
p, RangeSection(names[p], min_parameters[p],
max_parameters[p]))
def on_estimator_change(old_value, new_value, is_valid=True):
for inp in min_parameters.values():
inp.disappear()
for inp in max_parameters.values():
inp.disappear()
if new_value is not None and type(new_value) != str:
for p in new_value.get_parameters():
min_parameters[p].show()
min_parameters[p].reset()
min_parameters[p].changed()
max_parameters[p].show()
max_parameters[p].reset()
cur_value = max_parameters[p].get_value()
if type(cur_value) != str and cur_value is not None:
max_parameters[p].set_value(cur_value * 100)
max_parameters[p].changed()
estimator_select.inp.on_change(on_estimator_change)
on_estimator_change(None, None)
cancel = self.form.get_button('cancel', "Cancel", self.remove)
submit = self.form.get_button('submit', "Submit", self.submit)
self.form.set_action_button('cancel', cancel)
self.form.set_action_button('submit', submit)
self.form.add_element('buttons', DoubleSection(submit, cancel))
self.form.start()
class PDEContestController(WindowController):
def __init__(self, window_provider):
title = "Probability Density Estimators contest"
super().__init__(title, window_provider)
def window_provider(title):
return self.window.internal_renderer
self.form = FormController(window_provider)
def dist_options_provider():
from datafiles.distribution import all_distributions
distributions = {}
for d in all_distributions:
distributions[d] = d
return distributions
dist_select = Select(True, dist_options_provider)
dist_section = Section("Distribution", dist_select)
self.form.add_element('dist', dist_section)
self.form.add_element(
'samples',
RangeSection('Samples', Input(True, pint, 1000),
Input(True, pint, 10000)))
self.form.add_element('break1', SectionBreak())
all_params = {}
for dist, params in param_map.items():
for p in params:
if p not in all_params.keys():
inp = Input(True, myfloat, 1)
self.form.add_element(p, Section(p, inp))
all_params[p] = inp
self.form.add_element('break2', SectionBreak())
self.form.add_element('loc', Section("Mean", Input(True, myfloat, 0)))
self.form.add_element(
'scale', Section("Standard deviation", Input(True, nfloat, 2)))
def on_dist_change(old_value, new_value, is_valid=True):
for inp in all_params.values():
inp.disappear()
if new_value is not None:
for p in param_map[new_value]:
all_params[p].changed()
all_params[p].show()
dist_select.on_change(on_dist_change)
on_dist_change(None, None)
estimator_select = Section("Estimator", Select(True, {'all': "All"},
0))
self.form.add_element('estimator', estimator_select)
self.form.add_element('break3', SectionBreak())
cancel = self.form.get_button('cancel', "Cancel", self.remove)
submit = self.form.get_button('submit', "Submit", self.submit)
self.form.set_action_button('cancel', cancel)
self.form.set_action_button('submit', submit)
self.form.add_element('buttons', DoubleSection(submit, cancel))
self.form.start()
def input(self, key):
return self.form.input(key)
def render(self):
super().render()
self.form.render()
def submit(self):
data = self.form.get_data()
samples = data['samples']
dist = data['dist']
dist_params = [data[x] for x in param_map[dist]]
loc = data['loc']
scale = data['scale']
samples = data['samples']
datafile_parameters = {
'loc': loc,
'scale': scale,
'samples': samples,
'dist': dist,
'dist_params': dist_params
}
EstimatorClass = data['estimator']
estimator_parameters = data
pde_contest = PDEContest(EstimatorClass, datafile_parameters,
estimator_parameters)
execution = RepeatedExperimentExecutor(pde_contest)
def get_window(title):
return self.window.internal_renderer.popup(12, 45, 'center', title)
popup = ExecutionController(get_window, execution)
WindowController.add(popup)
def __init__(self, window_provider):
title = "Run experiment"
super().__init__(title, window_provider)
def window_provider(title):
return self.window.internal_renderer
self.form = FormController(window_provider)
def datafile_options_provider():
datafiles = self.s.get('datafiles')
datafile_options = {}
for d in datafiles:
datafile_options[d] = d
return datafile_options
datafile_select = Section("Datafile",
Select(True, datafile_options_provider))
self.form.add_element('datafile', datafile_select)
def get_estimator_options():
keys = Estimators.get_all()
options = {}
for key in keys:
options[key] = key.get_name()
options['all'] = "All"
return options
estimator_select = Section("Estimator",
Select(True, get_estimator_options))
self.form.add_element('estimator', estimator_select)
self.form.add_element('break1', SectionBreak())
min_parameters = Estimators.get_all_inputs(datafile_select)
max_parameters = Estimators.get_all_inputs(datafile_select)
names = Estimators.get_all_input_names()
simple_parameters = ['bins_method', 'kernel']
range_parameters = ['neighbors', 'bins', 'bin_population', 'bandwidth']
for p in simple_parameters:
self.form.add_element(p, Section(names[p], min_parameters[p]))
for p in range_parameters:
self.form.add_element(
p, RangeSection(names[p], min_parameters[p],
max_parameters[p]))
def on_estimator_change(old_value, new_value, is_valid=True):
for inp in min_parameters.values():
inp.disappear()
for inp in max_parameters.values():
inp.disappear()
if new_value is not None and type(new_value) != str:
for p in new_value.get_parameters():
min_parameters[p].show()
min_parameters[p].reset()
min_parameters[p].changed()
max_parameters[p].show()
max_parameters[p].reset()
cur_value = max_parameters[p].get_value()
if type(cur_value) != str and cur_value is not None:
max_parameters[p].set_value(cur_value * 100)
max_parameters[p].changed()
estimator_select.inp.on_change(on_estimator_change)
on_estimator_change(None, None)
cancel = self.form.get_button('cancel', "Cancel", self.remove)
submit = self.form.get_button('submit', "Submit", self.submit)
self.form.set_action_button('cancel', cancel)
self.form.set_action_button('submit', submit)
self.form.add_element('buttons', DoubleSection(submit, cancel))
self.form.start()
class RNGSeedController(WindowController):
def __init__(self, window_provider):
title = "Set RNG seed"
super().__init__(title, window_provider)
def window_provider(title):
return self.window.internal_renderer
self.form = FormController(window_provider)
seed = self.s.get('seed')
if seed is None:
seed = ''
self.form.add_element('seed',
Section("Seed", Input(True, nonenint, seed)))
self.submitted = False
cancel = self.form.get_button('cancel', "Cancel", self.remove)
submit = self.form.get_button('submit', "Submit", self.submit)
self.form.set_action_button('cancel', cancel)
self.form.set_action_button('submit', submit)
self.form.add_element('buttons', DoubleSection(submit, cancel))
self.form.start()
def render(self):
super().render()
self.form.render()
def input(self, key):
self.form.input(key)
return True
def submit(self):
data = self.form.get_data()
if self.submitted is True:
return
self.submitted = True
seed = data['seed']
self.s.set('seed', seed)
self.remove()
def __init__(self, window_provider):
title = "Run estimator"
super().__init__(title, window_provider)
def window_provider(title):
return self.window.internal_renderer
self.form = FormController(window_provider)
def datafile_options_provider():
datafiles = self.s.get('datafiles')
datafile_options = {}
for d in datafiles:
datafile_options[d] = d
return datafile_options
datafile_select = Section("Datafile", Select(True, datafile_options_provider))
self.form.add_element('datafile', datafile_select)
def get_estimator_options():
keys = estimators.get_all()
options = {}
for key in keys:
options[key] = key.get_name()
return options
estimator_select = Select(True, get_estimator_options)
estimator_section = Section("Estimator", estimator_select)
self.form.add_element('estimator', estimator_section)
self.form.add_element('break1', SectionBreak())
parameters = estimators.get_all_inputs(datafile_select)
names = estimators.get_all_input_names()
for p in parameters.keys():
self.form.add_element(p, Section(names[p], parameters[p]))
def on_estimator_change(old_value, new_value, is_valid=True):
for inp in parameters.values():
inp.disappear()
if new_value is not None:
for p in new_value.get_parameters():
parameters[p].changed()
parameters[p].show()
estimator_select.on_change(on_estimator_change)
on_estimator_change(None, None)
cancel = self.form.get_button('cancel', "Cancel", self.remove)
submit = self.form.get_button('submit', "Submit", self.submit)
self.form.set_action_button('cancel', cancel)
self.form.set_action_button('submit', submit)
self.form.add_element('buttons', DoubleSection(submit, cancel))
self.form.start()