def test_callback_property_executes(self, single_plot_page):
source = ColumnDataSource(dict(x=[1, 2], y=[1, 1]))
plot = Plot(plot_height=400, plot_width=400, x_range=Range1d(0, 1), y_range=Range1d(0, 1), min_border=0)
plot.add_glyph(source, Circle(x='x', y='y', size=20))
text_input = TextInput(css_classes=['foo'])
text_input.callback = CustomJS(code=RECORD("value", "cb_obj.value"))
page = single_plot_page(column(text_input, plot))
el = page.driver.find_element_by_class_name('foo')
enter_text_in_element(page.driver, el, "val1")
results = page.results
assert results['value'] == 'val1'
# double click to highlight and overwrite old text
enter_text_in_element(page.driver, el, "val2", click=2)
results = page.results
assert results['value'] == 'val2'
# Check clicking outside input also triggers
enter_text_in_element(page.driver, el, "val3", click=2, enter=False)
page.click_canvas_at_position(10, 10)
results = page.results
assert results['value'] == 'val3'
assert page.has_no_console_errors()
def modify_doc(doc):
source = ColumnDataSource(data=get_data(200))
p = figure(toolbar_location=None)
r = p.circle(x='x',
y='y',
radius='r',
source=source,
color="navy",
alpha=0.6,
line_color="white")
select = Select(title="Color", value="navy", options=COLORS)
input = TextInput(title="Number of points", value="200")
def update_color(attrname, old, new):
r.glyph.fill_color = select.value
select.on_change('value', update_color)
def update_points(attrname, old, new):
N = int(input.value)
source.data = get_data(N)
input.on_change('value', update_points)
layout = column(row(select, input, width=400), row(p))
doc.add_root(layout)
def ajoute_input_num(self,
title: str = None,
groupby: str = None,
max_width=80) -> None:
"""Sélection du tronçon par une colonne de la table."""
if groupby is None:
groupby = self.tron_idx_name
if title is None:
title = self.tron_idx_name
index_par_tron = DataFrame(self.tron).groupby(groupby).apply(
lambda s: list(s.index)).to_dict()
self.input_num = TextInput(value="", title=title, max_width=max_width)
callback_text = CustomJS(
args=dict(
text=self.input_num,
src_lines=self.source_lines,
index_par_tron=index_par_tron,
),
code="""if (text.value in index_par_tron) {
src_lines.selected.indices = index_par_tron[text.value]
src_lines.change.emit();
}
""",
)
self.input_num.js_on_change("value", callback_text)
def test_multi_row_copy(self, bokeh_model_page) -> None:
data = {'x': [1,2,3,4], 'y': [0,1,2,3], 'd': ['foo', 'bar', 'baz', 'quux']}
source = ColumnDataSource(data)
table = DataTable(columns=[
TableColumn(field="x", title="x"),
TableColumn(field="y", title="y"),
TableColumn(field="d", title="d"),
], source=source)
text_input = TextInput(css_classes=["foo"])
text_input.js_on_change('value', CustomJS(code=RECORD("value", "cb_obj.value")))
page = bokeh_model_page(column(table, text_input))
row = get_table_row(page.driver, 1)
row.click()
row = get_table_row(page.driver, 3)
shift_click(page.driver, row)
enter_text_in_element(page.driver, row, Keys.INSERT, mod=Keys.CONTROL, click=0, enter=False)
input_el = page.driver.find_element_by_css_selector('.foo')
enter_text_in_element(page.driver, input_el, Keys.INSERT, mod=Keys.SHIFT, enter=False)
enter_text_in_element(page.driver, input_el, "")
results = page.results
# XXX (bev) these should be newlines with a TextAreaInput but TextAreaInput
# is not working in tests for some reason presently
assert results['value'] == '0\t1\t0\tfoo 1\t2\t1\tbar 2\t3\t2\tbaz'
assert page.has_no_console_errors()
def main(options, args):
#logger = log.get_logger("ginga", options=options)
logger = log.get_logger("ginga", level=20, log_file="/tmp/ginga.log")
#TOOLS = "pan,wheel_zoom,box_select,tap"
TOOLS = "box_select"
# create a new plot with default tools, using figure
fig = figure(x_range=[0, 600],
y_range=[0, 600],
plot_width=600,
plot_height=600,
tools=TOOLS)
viewer = ib.CanvasView(logger)
viewer.set_figure(fig)
bd = viewer.get_bindings()
bd.enable_all(True)
## box_select_tool = fig.select(dict(type=BoxSelectTool))
## box_select_tool.select_every_mousemove = True
#tap_tool = fig.select_one(TapTool).renderers = [cr]
# open a session to keep our local document in sync with server
#session = push_session(curdoc())
#curdoc().add_periodic_callback(update, 50)
def load_file(path):
image = load_data(path, logger=logger)
viewer.set_image(image)
def load_file_cb(attr_name, old_val, new_val):
#print(attr_name, old_val, new_val)
load_file(new_val)
def zoom_ctl_cb(attr_name, old_val, new_val):
if new_val >= 0:
new_val += 2
viewer.zoom_to(int(new_val))
scale = viewer.get_scale()
logger.info("%f" % scale)
viewer.onscreen_message("%f" % (scale), delay=0.3)
# add a entry widget and configure with the call back
#dstdir = options.indir
dstdir = ""
path_w = TextInput(value=dstdir, title="File:")
path_w.on_change('value', load_file_cb)
slide = Slider(start=-20, end=20, step=1, value=1)
slide.on_change('value', zoom_ctl_cb)
layout = column(fig, path_w, slide)
curdoc().add_root(layout)
if len(args) > 0:
load_file(args[0])
def createFixedInputs_andBP():
modelList = ["randomForest", "ols", "ridge", "elastic"]
modelSelector = Select(title="Model",
options=modelList,
value='randomForest')
ageSlider = Slider(title="Age",
value=inputDict['Age'],
start=0,
end=100,
step=1)
sexSelector = Select(title="Sex",
options=['M', 'F'],
value=inputDict['Sex'])
heightSlider = Slider(title="Height (inches)",
value=inputDict['Height'] / 2.54,
start=0,
end=90,
step=1)
locationSelector = Select(title="Location",
options=['urban', 'rural'],
value='urban')
medicalConditionList = [
'noReport', 'ENT', 'OBGYN', 'Old_age_midLife_syndrome',
'alcohol_poisoning', 'dermatological', 'digestive', 'endocrine',
'heart', 'hematological', 'infectious_parasitic', 'injury',
'muscular_rheumatological', 'neurological', 'noDiagnosis', 'other',
'pyschiatric', 'respiratory', 'sexualDysfunction', 'tumor', 'unknown',
'urinary'
]
medicalConditionSelector = Select(title="Medical Condition",
options=medicalConditionList,
value='noReport')
pregnantCheckbox = CheckboxGroup(labels=["Pregnant"], active=[])
diabetesCheckbox = CheckboxGroup(labels=["Diabetes"], active=[])
highBPCheckbox = CheckboxGroup(labels=["High blood pressure"], active=[])
heart_attackCheckbox = CheckboxGroup(labels=["History of Heart attack"],
active=[])
internal_bleedingCheckbox = CheckboxGroup(
labels=["History of internal bleeding"], active=[])
systolText = TextInput(title="Systolic_BP(mmHg) ",
value=str(130))
diastolText = TextInput(title="Diastolic_BP(mmHg) ",
value=str(80))
fixedInputs_andBP_layout = column(modelSelector,
Div(text='Background:',
width=300,
style={
'font-size': '200%',
'font-weight': 'bold',
'color': 'black'
}), ageSlider, sexSelector,
heightSlider, locationSelector,
medicalConditionSelector) #,
# pregnantCheckbox, diabetesCheckbox, highBPCheckbox, heart_attackCheckbox, internal_bleedingCheckbox, systolText, diastolText)
return fixedInputs_andBP_layout, modelSelector, ageSlider, sexSelector, heightSlider, locationSelector, medicalConditionSelector, pregnantCheckbox, diabetesCheckbox, highBPCheckbox, heart_attackCheckbox, internal_bleedingCheckbox, systolText, diastolText
def run(self):
self.widget_text_experiment_id = TextInput(value='170')
self.widget_text_experiment_id.on_change('value', lambda a, o, n: self.update_experiment())
self.widget_button_last_run = Button(label="Last run")
self.widget_button_last_run.on_click(self.on_last_run)
self.widget_text_experiment_id.on_change('value', lambda a, o, n: self.update_experiment())
self.widget_epoch_select = Select(title='epoch', options=[])
self.widget_button = Button(label="Read experiment")
self.widget_button.on_click(self.update_experiment)
self.widget_epoch_select.on_change('value', self.update_epoch)
self.widget_pane = column()
self.widget_loss_pane = column()
self.widget_config_div = Div(text="")
curdoc().add_root(
column(
row(
column(
row(Div(text="Experiment ID:"), self.widget_text_experiment_id, self.widget_button,
self.widget_button_last_run),
self.widget_loss_pane
),
self.widget_config_div
),
self.widget_epoch_select, self.widget_pane))
def test_single_row_copy_with_zero(self, bokeh_model_page) -> None:
data = {'x': [1,2,3,4], 'y': [0,0,0,0], 'd': ['foo', 'bar', 'baz', 'quux']}
source = ColumnDataSource(data)
table = DataTable(columns=[
TableColumn(field="x", title="x"),
TableColumn(field="y", title="y"),
TableColumn(field="d", title="d"),
], source=source)
text_input = TextInput(css_classes=["foo"])
text_input.js_on_change('value', CustomJS(code=RECORD("value", "cb_obj.value")))
page = bokeh_model_page(column(table, text_input))
row = get_table_row(page.driver, 2)
row.click()
enter_text_in_element(page.driver, row, Keys.INSERT, mod=Keys.CONTROL, click=0, enter=False)
input_el = page.driver.find_element_by_css_selector('.foo')
enter_text_in_element(page.driver, input_el, Keys.INSERT, mod=Keys.SHIFT, enter=False)
enter_text_in_element(page.driver, input_el, "")
sleep(0.5)
results = page.results
assert results['value'] == '1\t2\t0\tbar'
assert page.has_no_console_errors()
def create_dl1_widgets(self):
self.w_dl1_dict = dict(
extractor=Select(
title="Extractor:",
value="",
width=5,
options=BokehFileViewer.extractor_product.values,
),
extractor_window_start=TextInput(title="Window Start:", value=""),
extractor_window_width=TextInput(title="Window Width:", value=""),
extractor_window_shift=TextInput(title="Window Shift:", value=""),
extractor_lwt=TextInput(title="Local Pixel Weight:", value=""),
)
for val in self.w_dl1_dict.values():
val.on_change("value", self.on_dl1_widget_change)
self.wb_extractor = widgetbox(
PreText(text="Charge Extractor Configuration"),
self.w_dl1_dict["extractor"],
self.w_dl1_dict["extractor_window_start"],
self.w_dl1_dict["extractor_window_width"],
self.w_dl1_dict["extractor_window_shift"],
self.w_dl1_dict["extractor_lwt"],
)
def test_js_on_change_executes(self, single_plot_page):
source = ColumnDataSource(dict(x=[1, 2], y=[1, 1]))
plot = Plot(plot_height=400, plot_width=400, x_range=Range1d(0, 1), y_range=Range1d(0, 1), min_border=0)
plot.add_glyph(source, Circle(x='x', y='y', size=20))
text_input = TextInput(css_classes=['foo'])
text_input.js_on_change('value', CustomJS(code=RECORD("value", "cb_obj.value")))
page = single_plot_page(column(text_input, plot))
el = page.driver.find_element_by_css_selector('.foo input')
enter_text_in_element(page.driver, el, "val1")
results = page.results
assert results['value'] == 'val1'
# double click to highlight and overwrite old text
enter_text_in_element(page.driver, el, "val2", click=2)
results = page.results
assert results['value'] == 'val2'
# Check clicking outside input also triggers
enter_text_in_element(page.driver, el, "val3", click=2, enter=False)
page.click_canvas_at_position(10, 10)
results = page.results
assert results['value'] == 'val3'
assert page.has_no_console_errors()
def create_dl1_widgets(self):
self.w_dl1_dict = dict(
cleaner=Select(title="Cleaner:",
value='',
width=5,
options=BokehFileViewer.cleaner_product.values),
extractor=Select(title="Extractor:",
value='',
width=5,
options=BokehFileViewer.extractor_product.values),
extractor_t0=TextInput(title="T0:", value=''),
extractor_window_width=TextInput(title="Window Width:", value=''),
extractor_window_shift=TextInput(title="Window Shift:", value=''),
extractor_lwt=TextInput(title="Local Pixel Weight:", value=''))
for val in self.w_dl1_dict.values():
val.on_change('value', self.on_dl1_widget_change)
self.wb_extractor = widgetbox(
PreText(text="Charge Extractor Configuration"),
self.w_dl1_dict['cleaner'], self.w_dl1_dict['extractor'],
self.w_dl1_dict['extractor_t0'],
self.w_dl1_dict['extractor_window_width'],
self.w_dl1_dict['extractor_window_shift'],
self.w_dl1_dict['extractor_lwt'])
def addtodoc(self, mainview, ctrl, *_):
"sets-up the gui"
self._widget = TextInput(placeholder=self._theme.placeholder,
width=self._theme.width,
height=self._theme.height,
**self.__data())
def _on_cb(attr, old, new):
if not mainview.isactive():
return
try:
val = float(new) if new.strip() else None
except ValueError:
self._widget.update(**self.__data())
return
instr = self._mdl.instrument
cpy = self._config[instr]
if cpy.precision == val:
return
cpy = copy(cpy)
cpy.precision = val
with ctrl.action:
self._ctrl.theme.update(self._config, **{instr: cpy})
self._widget.on_change("value", _on_cb)
return [self._widget]
def test_js_on_change_executes(self,
single_plot_page: SinglePlotPage) -> None:
source = ColumnDataSource(dict(x=[1, 2], y=[1, 1]))
plot = Plot(height=400,
width=400,
x_range=Range1d(0, 1),
y_range=Range1d(0, 1),
min_border=0)
plot.add_glyph(source, Circle(x='x', y='y', size=20))
text_input = TextInput()
text_input.js_on_change('value',
CustomJS(code=RECORD("value", "cb_obj.value")))
page = single_plot_page(column(text_input, plot))
el = find_element_for(page.driver, text_input, "input")
enter_text_in_element(page.driver, el, "val1")
results = page.results
assert results['value'] == 'val1'
# double click to highlight and overwrite old text
enter_text_in_element(page.driver, el, "val2", click=2)
results = page.results
assert results['value'] == 'val2'
# Check clicking outside input also triggers
enter_text_in_element(page.driver, el, "val3", click=2, enter=False)
page.click_canvas_at_position(plot, 10, 10)
results = page.results
assert results['value'] == 'val3'
assert page.has_no_console_errors()
def main(options, args):
#logger = log.get_logger("ginga", options=options)
logger = log.get_logger("ginga", level=20, log_file="/tmp/ginga.log")
#TOOLS = "pan,wheel_zoom,box_select,tap"
TOOLS = "box_select"
# create a new plot with default tools, using figure
fig = figure(x_range=[0, 600], y_range=[0, 600],
plot_width=600, plot_height=600, tools=TOOLS)
viewer = ib.CanvasView(logger)
viewer.set_figure(fig)
bd = viewer.get_bindings()
bd.enable_all(True)
## box_select_tool = fig.select(dict(type=BoxSelectTool))
## box_select_tool.select_every_mousemove = True
#tap_tool = fig.select_one(TapTool).renderers = [cr]
# open a session to keep our local document in sync with server
#session = push_session(curdoc())
#curdoc().add_periodic_callback(update, 50)
def load_file(path):
image = load_data(path, logger=logger)
viewer.set_image(image)
def load_file_cb(attr_name, old_val, new_val):
#print(attr_name, old_val, new_val)
load_file(new_val)
def zoom_ctl_cb(attr_name, old_val, new_val):
if new_val >= 0:
new_val += 2
viewer.zoom_to(int(new_val))
scale = viewer.get_scale()
logger.info("%f" % scale)
viewer.onscreen_message("%f" % (scale), delay=0.3)
# add a entry widget and configure with the call back
#dstdir = options.indir
dstdir = ""
path_w = TextInput(value=dstdir, title="File:")
path_w.on_change('value', load_file_cb)
slide = Slider(start=-20, end=20, step=1, value=1)
slide.on_change('value', zoom_ctl_cb)
layout = column(fig, path_w, slide)
curdoc().add_root(layout)
if len(args) > 0:
load_file(args[0])
def __init__(self, pvname, pvdef):
self.pvname = pvname
title = (pvname).split(':')[-1].replace('_',' ')+' ('+pvdef['unit']+')'
value = str(pvdef['value'])
self.unit = pvdef['unit']
self.text_input = TextInput(value=value, title=title)
self.text_input.on_change("value", self.set_pv)
def get_table_module(self):
# https://stackoverflow.com/questions/54426404/bokeh-datatable-return-row-and-column-on-selection-callback
self.record_cols = [
*list(self.df.columns), 'exp', 'delete', 'his_pred',
self.y_pred_name, 'index'
]
self.record_table = pd.DataFrame(columns=self.record_cols)
self.record_table_source = ColumnDataSource(
self.record_table[['exp', 'delete']].to_dict(orient='list'))
cols = [
TableColumn(field="exp", title="Exp."),
TableColumn(field="delete", title="Delete")
]
data_table = DataTable(source=self.record_table_source,
columns=cols,
width=200,
height=800,
editable=True,
reorderable=False)
test_cell = TextInput(value='kkk', title="Cell Contents:", width=200)
test_count = TextInput(value='0', title="Cell Contents:", width=200)
source_code = """
var grid = document.getElementsByClassName('grid-canvas')[0].children;
var row, column = '';
for (var i = 0,max = grid.length; i < max; i++){
if (grid[i].outerHTML.includes('active')){
row = i;
for (var j = 0, jmax = grid[i].children.length; j < jmax; j++)
if(grid[i].children[j].outerHTML.includes('active'))
{ column = j }
}
}
test_cell.value = column == 1 ? String(source.data['exp'][row]) : String(source.data['delete'][row]);
"""
callback = CustomJS(args=dict(source=self.record_table_source,
test_cell=test_cell),
code=source_code)
self.record_table_source.selected.js_on_change('indices', callback)
self.record_table_source.selected.on_change(
'indices', self.record_table_callback(test_cell, test_count))
title = Div(text='Record',
sizing_mode="stretch_width",
style={
'font-size': '150%',
'color': self.txt_color
})
record_button = Button(label="Take a snapshot",
button_type="success",
width_policy='fit',
width=150)
record_button.on_click(self.record)
self.table_panel.append(title)
# self.table_panel.append(test_cell)
self.table_panel.append(record_button)
self.table_panel.append(data_table)
def __init__(self, doc=None):
if doc is None:
doc = curdoc()
self.doc = doc
self.file_name = None
self.doc.title = "Rippled eBPF Probes"
self.db_file_control = TextInput(value='', title='Db file:')
self.db_file_control.on_change(
'value', lambda attr, old, new: self._update_db())
self.doc.add_root(layout([self.db_file_control]))
def __init__(self, file_name='probes.db'):
self.file_name = None
curdoc().title = "Rippled eBPF Probes"
if file_name:
self._update_db_file(file_name)
else:
self.db_file_control = TextInput(value='', title='Db file:')
self.db_file_control.on_change(
'value', lambda attr, old, new: self._update_db())
curdoc().add_root(layout([self.db_file_control]))
def _init_set_marker(self):
self.marker_button = Button(label=u"Set", button_type="default", width=80, height=31, disabled=True)
self.event_code_input = TextInput(value="8", title="Event code:", width=80, disabled=True)
self.event_code_input.on_change('value', self._check_marker_value)
self.marker_button.on_click(self._set_marker)
return column([Spacer(width=170, height=5),
row([self.event_code_input,
column(Spacer(width=50, height=19), self.marker_button)], height=50, width=170)],
width=170, height=50, sizing_mode='fixed'
)
def modify_doc(doc):
source = ColumnDataSource(dict(x=[1, 2], y=[1, 1], val=["a", "b"]))
plot = Plot(plot_height=400, plot_width=400, x_range=Range1d(0, 1), y_range=Range1d(0, 1), min_border=0)
plot.add_glyph(source, Circle(x='x', y='y', size=20))
plot.add_tools(CustomAction(callback=CustomJS(args=dict(s=source), code=RECORD("data", "s.data"))))
text_input = TextInput(css_classes=["foo"])
def cb(attr, old, new):
source.data['val'] = [old, new]
text_input.on_change('value', cb)
doc.add_root(column(text_input, plot))
def modify_doc(doc):
source = ColumnDataSource(dict(x=[1, 2], y=[1, 1], val=["a", "b"]))
plot = Plot(plot_height=400, plot_width=400, x_range=Range1d(0, 1), y_range=Range1d(0, 1), min_border=0)
plot.add_glyph(source, Circle(x='x', y='y', size=20))
plot.add_tools(CustomAction(callback=CustomJS(args=dict(s=source), code=RECORD("data", "s.data"))))
text_input = TextInput(css_classes=["foo"])
def cb(attr, old, new):
source.data['val'] = [old, new]
text_input.on_change('value', cb)
doc.add_root(column(text_input, plot))
def milestone_tab(self):
self.milestone_subtitle = Div(text="Milestones & Major Accomplishments", css_classes=['subt-style'])
self.milestone_inst = Div(text="Record any major milestones or accomplishments that occur throughout a night and the exposure numbers that correspond to it. If applicable, indicate the ID of exposures to ignore in a series.", css_classes=['inst-style'],width=1000)
self.milestone_input = TextAreaInput(placeholder="Description", rows=10, cols=3, max_length=5000)
self.milestone_exp_start = TextInput(title ='Exposure Start', placeholder='12345', value=None)
self.milestone_exp_end = TextInput(title='Exposure End', placeholder='12345', value=None)
self.milestone_exp_excl = TextInput(title='Excluded Exposures', placeholder='12346', value=None)
self.milestone_btn = Button(label='Add Milestone', css_classes=['add_button'])
self.milestone_alert = Div(text=' ', css_classes=['alert-style'])
self.summary = TextAreaInput(rows=6, title='End of Night Summary',max_length=5000)
self.summary_btn = Button(label='Add Summary', css_classes=['add_button'], width=300)
def create_label_text_inputs(self) -> list:
label_text_inputs = []
for i, category in enumerate(self.categories):
title = "Label" if i == 0 else ""
label_text_input = TextInput(value=category,
title=title,
width=100)
label_text_input.on_change(
"value", partial(self.handle_label_text_input_change, i))
label_text_inputs.append(label_text_input)
return label_text_inputs
def create_panel(title, params, size=225):
"""
return a Panel object containing a column layout of TextInput widgets for setting parameters
"""
wlist = [widgetbox(Div(text='<center><strong>---' + title + '---</strong></center>'), width=size)]
for param in params.keys():
value = str(r0[title][param])
text = TextInput(value=value, title=param)
text.on_change('value', update_figs)
wlist.append(widgetbox(text, width=size))
return column(wlist)
def create_layout(self):
self.widget_min_id = TextInput(title='Min Id', value='1957')
self.widget_min_id.on_change('value',
lambda a, o, n: self.update_by_input())
self.widget_max_id = TextInput(title='Max Id', value='1970')
self.widget_max_id.on_change('value',
lambda a, o, n: self.update_by_input())
self.widget_config_common = Div(text='')
self.update_by_input()
return column(row(self.widget_min_id, self.widget_max_id),
self.widget_config_common)
def create_label_inputs(self) -> column:
inputs = []
for i, label_item in enumerate(self.legend.items):
value = self.read_item_label(i)
disabled = value.startswith("$")
label_input = TextInput(value=value, disabled=disabled, width=210)
label_input.on_change("value",
partial(self.handle_label_item_change, i))
inputs.append(label_input)
title = Div(text="Labels")
return column(title, *inputs)
def create_panel(title, params, size=40):
"""
return a Panel object containing a column layout of TextInput widgets for setting parameters
"""
wlist = []
for param in params.keys():
value = str(r0[title][param])
text = TextInput(value=value, title=param)
text.on_change('value', update_figs)
wlist.append(widgetbox(text, height=size))
return Panel(child=column(wlist), title=title)
class SacredRunsConfigAnalyzer(BokehComponent):
_sacred_utils: SacredUtils
_on_run_selected: Optional[Callable[[int], None]]
def __init__(self,
sacred_config: SacredConfig,
on_run_selected: Optional[Callable[[int], None]],
min_id: int = 2258,
max_id: int = 2325):
self._sacred_config = sacred_config
self._on_run_selected = on_run_selected
self._sacred_utils = SacredUtils(self._sacred_config)
self._min_id = min_id
self._max_id = max_id
def _update_by_input(self):
try:
min_id = int(self.widget_min_id.value)
max_id = int(self.widget_max_id.value)
diff_result = self._sacred_utils.config_diff(
list(range(min_id, max_id + 1)))
formatted_config = diff_result.common_as_text('<br/>')
df = diff_result.diff_as_df()
self.ds_common.data = df
self.widget_dt_common.columns = [
TableColumn(field=c, title=c) for c in df.columns
]
self.widget_config_common.text = f'<pre>{formatted_config} <hr/></pre>'
# self.widget_config_common.text = f'<pre>{formatted_config} <hr/>{formatted_diff}</pre>'
except Exception as e:
print(f'Exception: {e}')
def _on_table_click(self, p):
run_ids = self.ds_common.data['run_ids'][p][0]
if self._on_run_selected is not None:
self._on_run_selected(run_ids[0])
def create_layout(self):
self.ds_common = ColumnDataSource({'a': [4]})
self.ds_common.selected.on_change(
'indices', lambda a, o, n: self._on_table_click(n))
self.widget_min_id = TextInput(title='Min Id', value=str(self._min_id))
self.widget_min_id.on_change('value',
lambda a, o, n: self._update_by_input())
self.widget_max_id = TextInput(title='Max Id', value=str(self._max_id))
self.widget_max_id.on_change('value',
lambda a, o, n: self._update_by_input())
self.widget_config_common = Div(text='')
self.widget_dt_common = DataTable(source=self.ds_common, width=1000)
self._update_by_input()
return column(row(self.widget_min_id, self.widget_max_id),
self.widget_config_common, self.widget_dt_common)
class TextInputComponent(ComponentMixin):
def __init__(self, text_input_kwargs):
super().__init__()
self.text_input = TextInput(**text_input_kwargs)
self.layout = self.text_input
self.input_text_callback = None
def set_mediator(self, mediator):
super().set_mediator(mediator)
event_name = 'text-change'
text_change = self.make_attr_old_new_callback(event_name)
self.input_text_callback = text_change
self.text_input.on_change('value', self.input_text_callback)
def _make_edit_widgets(self):
delete_button = Button(label="-",
button_type="warning",
align=("start", "end"),
width=50)
delete_button.on_click(self.delete_callback)
return {
"input_col": TextInput(title="Column", width=150),
"input_val": TextInput(title="Value", width=100),
"delete_button": delete_button,
"value_row": row(align=("start", "end")),
"value_buttons": {},
}
def __init__(self):
pd.set_option('display.max_colwidth', -1)
try:
self.base_df = load_clean_df()
except:
fpath = BUNDLED_DATA_DIR + '/clean-light.csv'
self.base_df = load_clean_df(fpath=fpath)
self.base_df[SEARCH_FIELD] = self.base_df.apply(lambda row: ' '.join(str(x).lower() for x in row[SEARCH_COLS] if pd.notnull(x)), axis=1)
# divs holding the charts
self.sim_input_desc_div = Div(text='', width=CHARTS_WIDTH)
self.sim_input_div = Div(text='', width=CHARTS_WIDTH)
self.hm_divs = [Div(text='', width=DIV_WIDTH) for _ in range(2)]
self.hist_divs = [Div(text='', width=DIV_WIDTH) for _ in range(2)]
self.bc_divs = [Div(text='', width=DIV_WIDTH) for _ in range(2)]
self.comp_div = Div(text='', width=CHARTS_WIDTH)
# other divs
self.top_div = Div(text='', width=CHARTS_WIDTH)
# controls
self.search_text_ctrl = TextInput(title=None, value='', width=WIDGET_BOX_WIDTH - 50)
self.sim_ctrl = Select(title=None, options=all_sims.get_sim_names(), value=all_sims.get_sim_name(TfidfCosSim))
self.analysed_cols_ctrl = CheckboxGroup(labels=COL_OPTIONS, active=[COL_OPTIONS.index(c) for c in ['suff_qtext', 'type']])
self.sim_params_ctrl = CheckboxGroup(labels=list(SIM_PARAMS_CHECKOPTS), active=list(range(len(SIM_PARAMS_CHECKOPTS))))
self.wv_dict_model_ctrl = RadioGroup(labels=[e.name for e in qsim.W2vModelName], active=0)
self.sim_input_nres_ctrl = Slider(title="Number of results", value=10, start=1, end=100, step=1)
self.sim_input_sample_size_ctrl = Slider(title="Sample size", value=1000, start=100, end=len(self.base_df), step=100)
self.sim_input_text_ctrl = TextInput(title=None, value='', width=WIDGET_BOX_WIDTH - 50)
self.hm_sample_size_ctrl = Slider(title=SAMPLE_SIZE_LABEL, value=30, start=10, end=50, step=5)
self.hist_sample_size_ctrl = Slider(title=SAMPLE_SIZE_LABEL, value=30, start=10, end=len(self.base_df), step=10)
self.bc_sample_size_ctrl = Slider(title=SAMPLE_SIZE_LABEL, value=30, start=10, end=len(self.base_df), step=5)
self.bc_bars_ctrl = Slider(title="Number of bars", value=10, start=5, end=25, step=1)
self.spectrum_start_ctrl = Slider(title="from", value=0, start=0, end=1, step=0.01)
self.spectrum_end_ctrl = Slider(title="to", value=1, start=0, end=1, step=0.01)
self.spectrum_buckets_ctrl = Slider(title="Number of buckets", value=5, start=1, end=20, step=1)
self.spectrum_bucket_size_ctrl = Slider(title="Questions per bucket", value=2, start=1, end=10, step=1)
self.spectrum_cs_only_ctrl = CheckboxGroup(labels=['Cross survey pairs only'], active=[])
self.spectrum_spectrum_sample_size_ctrl = Slider(title=SAMPLE_SIZE_LABEL, value=30, start=30, end=len(self.base_df), step=10)
self.submit_btn = Button(label="Update", button_type="success")
self.submit_btn.on_click(self.update)
self.update()
class SacredRunsConfigAnalyzer:
def __init__(self, mongo_observer: MongoObserver):
self._observer = mongo_observer
def analyze_runs(
self, run_ids: List[int]
) -> Tuple[Dict[str, Any], Dict[List[Tuple[str, Any]], List[int]]]:
runs = self._observer.runs.find({'_id': {
'$in': run_ids
}}, {
'_id': 1,
'config': 1
})
items = list(runs)
common_keys = find_common_keys(items, lambda x: x['config'])
result = group_dicts(
items, lambda x: dict_omit_keys(x['config'],
set(common_keys) | {'seed'}),
lambda x: x['_id'])
return common_keys, result
def update_by_input(self):
try:
min_id = int(self.widget_min_id.value)
max_id = int(self.widget_max_id.value)
common_keys, diff = self.analyze_runs(
list(range(min_id, max_id + 1)))
def join_dict(delimiter: str, data: Dict):
return delimiter.join([f'{k}: {v}' for k, v in data.items()])
formatted_config = join_dict('<br/>', common_keys)
formatted_diff = '<br/>'.join([
f'{join_dict(", ", tuple_to_dict(k))}: {v}'
for k, v in diff.items()
])
self.widget_config_common.text = f'<pre>{formatted_config} <hr/>{formatted_diff}</pre>'
except Exception as e:
print(f'Exception: {e}')
def create_layout(self):
self.widget_min_id = TextInput(title='Min Id', value='1957')
self.widget_min_id.on_change('value',
lambda a, o, n: self.update_by_input())
self.widget_max_id = TextInput(title='Max Id', value='1970')
self.widget_max_id.on_change('value',
lambda a, o, n: self.update_by_input())
self.widget_config_common = Div(text='')
self.update_by_input()
return column(row(self.widget_min_id, self.widget_max_id),
self.widget_config_common)
def __init__(self, data_x, data_y, name, p):
self.name = name
self.figure = p
self.data_x = np.asarray(data_x)
self.data_y = np.asarray(data_y)
self.mani_data_x = self.data_x
self.mani_data_y = self.data_y
self.cds = ColumnDataSource(
dict(x=self.mani_data_x, y=self.mani_data_y))
self.y_scale = TextInput(value='1', title="Y scale")
self.x_scale = TextInput(value='1', title="X scale")
self.y_offset = TextInput(value='0', title="Y offset")
self.x_offset = TextInput(value='0', title="X offset")
self.y_scale.on_change('value', self._on_change)
self.x_scale.on_change('value', self._on_change)
self.y_offset.on_change('value', self._on_change)
self.x_offset.on_change('value', self._on_change)
rolling_num = len(self.data_x) // 10
if rolling_num == 0:
rolling_num = 1
self.rolling_average = Slider(start=0,
end=rolling_num,
value=0,
title='rolling average')
self.rolling_average.on_change('value', self._on_change)
self.plot_line()
self.plot_line()
def emission_lines(fname):
def line_update(attr, old, new):
# TODO: make it faster by finding a method to only modify the changed object
z_list = [(1 + float(z.value)) for z in z_in_list]
for i in range(len(line_list)):
for j in range(len(line_list[i])):
# j: jth line for ith element
line_list[i][j].visible = True if not (checkboxes[i].active
== []) else False
line_list[i][j].location = emission_lines[i][j] * z_list[i]
# variables
emission_lines = np.genfromtxt(fname,
skip_header=1,
delimiter=',',
unpack=True)
linename_list = np.loadtxt(fname,
delimiter=',',
unpack=True,
max_rows=1,
dtype='str')
line_list = [] # line_list[i][j] for jth line in ith element
checkboxes = [] # checkboxes[i] for ith element
z_in_list = [] # z_in_list[i] for ith element
v_in_list = [] # v_in_list[i] for ith element
# generate widgets
for i in range(len(emission_lines)):
element = linename_list[i]
print('Setting lines for ', element, '...')
b_tmp = CheckboxGroup(labels=[element], active=[])
b_tmp.on_change('active', line_update)
checkboxes.append(b_tmp)
#z_tmp = TextInput(value='2',title=element,sizing_mode='scale_width')
z_tmp = TextInput(value='0', sizing_mode='scale_width')
z_tmp.on_change('value', line_update)
z_in_list.append(z_tmp)
lines_for_this_element = []
for j in range(len(emission_lines[i])):
wavelength = emission_lines[i][j]
if not np.isnan(wavelength):
print('\t* lambda = ', emission_lines[i][j])
line_tmp = Span(location=wavelength,
dimension='height',
line_color='orange',
line_width=1) # TODO: line color
lines_for_this_element.append(line_tmp)
line_list.append(lines_for_this_element)
line_update('', '', '')
return line_list, z_in_list, checkboxes
def exp_tab(self):
self.exp_subtitle = Div(text="Nightly Progress", css_classes=['subt-style'])
self.exp_inst = Div(text="Throughout the night record the progress, including comments on Calibrations and Exposures. All exposures are recorded in the eLog, so only enter information that can provide additional information.", width=800, css_classes=['inst-style'])
self.hdr_type = Select(title="Observation Type", value='Observation', options=self.header_options)
self.hdr_btn = Button(label='Select', css_classes=['add_button'])
self.add_image = TextInput(title="Add Image", placeholder='Pictures/image.png', value=None)
self.exp_script = TextInput(title='Script Name', placeholder='dithering.json', value=None)
self.exp_time_end = TextInput(title='Time End', placeholder='20:07', value=None)
self.exp_focus_trim = TextInput(title='Trim from Focus', placeholder='54', value=None)
self.exp_tile = TextInput(title='Tile Number', placeholder='68001', value=None)
self.exp_tile_type = Select(title="Tile Type", value=None, options=['None','QSO','LRG','ELG','BGS','MW'])
self.exp_input_layout = layout([])
# slider controlling spatial stepsize of the solver
h_slider = Slider(title="spatial meshwidth", name='spatial meshwidth', value=pde_settings.h_init, start=pde_settings.h_min,
end=pde_settings.h_max, step=pde_settings.h_step)
h_slider.on_change('value', mesh_change)
# slider controlling spatial stepsize of the solver
k_slider = Slider(title="temporal meshwidth", name='temporal meshwidth', value=pde_settings.k_init, start=pde_settings.k_min,
end=pde_settings.k_max, step=pde_settings.k_step)
k_slider.on_change('value', mesh_change)
# radiobuttons controlling pde type
pde_type = RadioButtonGroup(labels=['Heat', 'Wave'], active=0)
pde_type.on_change('active', pde_type_change)
# radiobuttons controlling solver type
solver_type = RadioButtonGroup(labels=['Explicit', 'Implicit'], active=0)
solver_type.on_change('active', mesh_change)
# text input for IC
initial_condition = TextInput(value=pde_settings.IC_init, title="initial condition")
initial_condition.on_change('value', initial_condition_change)
# initialize plot
toolset = "crosshair,pan,reset,resize,wheel_zoom,box_zoom"
# Generate a figure container
plot = Figure(plot_height=400,
plot_width=400,
tools=toolset,
title="Time dependent PDEs",
x_range=[pde_settings.x_min, pde_settings.x_max],
y_range=[-1, 1]
)
# Plot the numerical solution at time=t by the x,u values in the source property
plot.line('x', 'u', source=plot_data_num,
fun_lam = lambda *x: np.ones_like(x[0]) * float(fun_sym)
else:
fun_lam = lambdify(args, fun_sym, modules=['numpy'])
return fun_lam
def string_to_function_parser(fun_str, args):
fun_sym = sympify(fun_str)
fun_lam = sym_to_function_parser(fun_sym, args)
return fun_lam, fun_sym
# Data
line_source = ColumnDataSource(data=dict(x=[], y=[]))
# Controls
f_input = TextInput(value="sin(x)", title="f(x):")
derivative_input = Slider(title="n", value=1.0, start=0.0, end=5.0, step=1)
def fun_change(attrname, old, new):
f_str = f_input.value
f_fun, f_sym = string_to_function_parser(f_str, ['x'])
print der.value
df_sym = diff(f_sym, 'x', int(der.value))
df_fun = sym_to_function_parser(df_sym,['x'])
x = np.linspace(-5, 5, 100)
y = f_fun(x)
dy = df_fun(x)
line_source.data = dict(x=x, y=y, dy=dy)
def init_data():
# initialize properties
update_is_enabled = True
# initialize controls
# dropdown menu for sample functions
function_type = Dropdown(label="choose a sample function pair or enter one below",
menu=convolution_settings.sample_function_names)
function_type.on_click(function_pair_input_change)
# slider controlling the evaluated x value of the convolved function
x_value_input = Slider(title="x value", name='x value', value=convolution_settings.x_value_init,
start=convolution_settings.x_value_min, end=convolution_settings.x_value_max,
step=convolution_settings.x_value_step)
x_value_input.on_change('value', input_change)
# text input for the first function to be convolved
function1_input = TextInput(value=convolution_settings.function1_input_init, title="my first function:")
function1_input.on_change('value', input_change)
# text input for the second function to be convolved
function2_input = TextInput(value=convolution_settings.function1_input_init, title="my second function:")
function2_input.on_change('value', input_change)
# initialize plot
toolset = "crosshair,pan,reset,resize,save,wheel_zoom"
# Generate a figure container
plot = Figure(plot_height=400, plot_width=400, tools=toolset,
title="Convolution of two functions",
x_range=[convolution_settings.x_min_view, convolution_settings.x_max_view],
y_range=[convolution_settings.y_min_view, convolution_settings.y_max_view])
# Plot the line by the x,y values in the source property
plot.line('x', 'y', source=source_function1, line_width=3, line_alpha=0.6, color='red', legend='function 1')
"""
size = int(sample_size.value) / 2
if source_url.data == {}:
source.data = random_roc_data(auc=float(auc.value)/100.0, size=size)
else:
source.data = source_url.data
for w in [threshold, text, auc, sample_size]:
w.disabled = True
x, y = get_collide()
point_source.data = dict(x=[x], y=[y])
conf_source.data = conf_matrix()
source = ColumnDataSource(data=random_roc_data(size=200))
text = TextInput(title="title", name='title', value='ROC Curve')
sample_size = Slider(title="Sample Size (splits 50/50)", value=400, start=50, end=800, step=2)
threshold = Slider(title="Threshold", value=50.0, start=0.0, end=100.0, step=0.1)
auc = Slider(title="Area Under Curve (AUC)", value=70.0, start=0.0, end=100.0, step=0.1)
dataurl = TextInput(title="Data Url", name='data', value='DEMO')
# Generate a figure container
plot = Figure(title_text_font_size="12pt",
plot_height=400,
plot_width=400,
tools="crosshair,pan,reset,resize,save,wheel_zoom",
title=text.value,
x_range=[0, 1],
y_range=[0, 1])
# Plot the line by the x,y values in the source property
]
p.add_layout(legend)
def update():
try:
expr = sy.sympify(text.value, dict(x=xs))
except Exception as exception:
errbox.text = str(exception)
else:
errbox.text = ""
x, fy, ty = taylor(expr, xs, slider.value, (-2*sy.pi, 2*sy.pi), 200)
p.title.text = "Taylor (n=%d) expansion comparison for: %s" % (slider.value, expr)
legend.items[0].label = value("%s" % expr)
legend.items[1].label = value("taylor(%s)" % expr)
source.data = dict(x=x, fy=fy, ty=ty)
slider = Slider(start=1, end=20, value=1, step=1, title="Order")
slider.on_change('value', lambda attr, old, new: update())
text = TextInput(value=str(expr), title="Expression:")
text.on_change('value', lambda attr, old, new: update())
errbox = PreText()
update()
inputs = column(text, slider, errbox, width=400)
curdoc().add_root(column(inputs, p))
def on_query_sample_click():
sample_name = indir+'query_example.txt'
polysample = '(47.625834810279436, -122.37593650817871)' + \
'(47.62566126823201, -122.3206615447998)' + \
'(47.59400913793055, -122.32237815856934)' + \
'(47.59441431361767, -122.3488998413086)'
networkx_osm_ops.construct_poly_query(polysample, sample_name,
min_road_type='primary')
os.system('open ' + sample_name)
button_query_sample.on_click(on_query_sample_click)
#############
#############
# Text input
text_poly = TextInput(value=poly_string, title="Polygon Coordinates:")
def on_text_value_change_poly(obj, attr, old, new):
global poly_string
print "New polygon coords:", new
poly_string = new
text_poly.on_change('value', on_text_value_change_poly)
#############
#############
# define input directory
# Text input
text_input = TextInput(value=indir, title="Input Directory:")
def on_text_value_change_input(obj, attr, old, new):
global indir
print "Input Directory:", new
plot.grid[0].grid_line_alpha = 0.0
plot.grid[1].grid_line_alpha = 0.0
# Plot the direction field
quiver = my_bokeh_utils.Quiver(plot)
# Plot initial values
plot.scatter('x0', 'y0', source=source_initialvalue, color='black', legend='(x0,y0)')
# Plot streamline
plot.line('x', 'y', source=source_streamline, color='black', legend='streamline')
# Plot critical points and lines
plot.scatter('x', 'y', source=source_critical_pts, color='red', legend='critical pts')
plot.multi_line('x_ls', 'y_ls', source=source_critical_lines, color='red', legend='critical lines')
# initialize controls
# text input for input of the ode system [u,v] = [x',y']
u_input = TextInput(value=odesystem_settings.sample_system_functions[odesystem_settings.init_fun_key][0], title="u(x,y):")
v_input = TextInput(value=odesystem_settings.sample_system_functions[odesystem_settings.init_fun_key][1], title="v(x,y):")
# dropdown menu for selecting one of the sample functions
sample_fun_input = Dropdown(label="choose a sample function pair or enter one below",
menu=odesystem_settings.sample_system_names)
# Interactor for entering starting point of initial condition
interactor = my_bokeh_utils.Interactor(plot)
# initialize callback behaviour
sample_fun_input.on_click(sample_fun_change)
u_input.on_change('value', ode_change)
v_input.on_change('value', ode_change)
interactor.on_click(initial_value_change)