def params_line(e):
data = params_dict[e]
if data['element'] == 'input':
if 'step' in data:
return dbc.InputGroup([
dbc.InputGroupText(e, className='par-input-text no-border'),
dbc.Input(id=f'par_{e}',
type=data['type'],
step=data['step'],
className='par-input-field no-border')
],
className='no-border')
else:
return dbc.InputGroup([
dbc.InputGroupText(e, className='par-input-text no-border'),
dbc.Input(id=f'par_{e}',
type=data['type'],
className='par-input-field no-border')
],
className='no-border')
else:
return dbc.InputGroup([
dbc.InputGroupText(e, className='par-input-text no-border'),
dbc.Select(id=f'par_{e}',
options=opt_list(data['options']),
className='par-select-field no-border')
],
className='no-border')
children=[
html.Div(className='jumbotron',
children=[
dcc.Markdown('''
# COVID-19 Dashboard
All information is pulled from the Johns Hopkins University [Github Page](https://www.github.com/CSSEGISandData)'''
)
]),
html.Div(id='select_chart_theme_output'),
dbc.Row(
dbc.Col(
dbc.Card(
dbc.CardBody([
dbc.Col(
dbc.InputGroup([
dbc.InputGroupText("Select Country"),
dbc.Select(id='filter_by_country',
options=[{
'label': i,
'value': i
} for i in dataset.filter],
value='Germany')
])),
dbc.Col(
dbc.InputGroup([
dbc.InputGroupText("Select Chart Theme"),
dbc.Select(id='select_chart_theme',
options=[{
'label': i,
'value': i
} for i in dataset.chart_themes],
id="rubik-button-reset",
children="Reset",
n_clicks=0,
color="primary",
disabled=False,
),
dbc.Select(
id="rubik-select-dim",
value=3,
options=[
{"label":f"{n}x{n} Cube", "value":n}
for n in range(1, 6)
],
),
dbc.InputGroupText(
children="On face click:",
),
dbc.Select(
id="rubik-select-layer",
value=1,
options=[
{"label":f"Rotate {hu.ordinal(layer)} layer", "value":layer}
for layer in range(1, 4)
],
),
dbc.Button(
id="rubik-button-scramble",
children="Scramble",
n_clicks=0,
color="primary",
disabled=True,
in many of nature'sdesigns. Here, an example is given by modelling
an arrangement of **sunflower seeds** using a spiral; at every $\phi$ turns
of the spiral a seed is grown.
"""),
dbc.InputGroup(
size="sm",
children=[
dbc.Button(
id="button-geometry-spiral-reset",
children="Reset",
n_clicks=0,
color="primary",
),
dbc.InputGroupText(
children="Seed Count:",
),
dbc.Input(
id="input-geometry-spiral-snum",
value=300,
type="numeric",
disabled=True,
),
dbc.InputGroupText(
children="Rotation Space:",
),
dbc.Input(
id="input-geometry-spiral-tmin",
value="(1+5**0.5)/2",
),
dbc.Input(
[
dbc.Button("To the left!", color="danger"),
dbc.Input(type="text"),
],
className="my-3",
),
dbc.InputGroup(
[
dbc.Input(type="text"),
dbc.Button("To the right!", color="success"),
],
className="mb-3",
),
dbc.InputGroup(
[
dbc.InputGroupText("@"),
dbc.Input(type="text", placeholder="Enter username"),
],
className="mb-3",
),
dbc.InputGroup(
[dbc.InputGroupText("Large"),
dbc.Input()],
size="lg",
className="my-3",
),
dbc.InputGroup([dbc.InputGroupText("Default"),
dbc.Input()],
className="my-3"),
dbc.InputGroup(
[dbc.InputGroupText("Small"),
def input_prefix(name: str):
"""For getting a nice label before inputs"""
return dbc.InputGroupText(name)
# LAYOUT
# Dash packages.
import dash
import dash_ace as dac
from dash import dcc
from dash import html as dhc
import dash.exceptions as dex
import dash.dependencies as ddp
import dash_bootstrap_components as dbc
app_layout = [
dbc.InputGroup(
size="sm",
children=[
dbc.InputGroupText(children="Solution:", ),
dbc.Select(
id="select-solution-number",
value=None,
options=[{
"label": name.rsplit(sep="_", maxsplit=1)[-1],
"value": name
} for name, obj in inspect.getmembers(
object=sys.modules[__name__],
predicate=inspect.isfunction,
)],
),
dbc.Button(
id="button-solution-profile",
children="Profile",
n_clicks=0,
href="/masst_plus")),
],
navbar=True)
],
color="light",
dark=False,
sticky="top",
)
DATASELECTION_CARD = [
dbc.CardHeader(html.H5("Data Selection")),
dbc.CardBody([
html.H5(children='GNPS Data Selection'),
dbc.InputGroup(
[
dbc.InputGroupText("Spectrum USI"),
dbc.Input(id='usi1', placeholder="Enter GNPS USI", value=""),
],
className="mb-3",
),
dbc.InputGroup(
[
dbc.InputGroupText("Analog Search"),
dbc.Select(id="analog_search",
options=[
{
"label": "Yes",
"value": "Yes"
},
{
"label": "No",
"""),
]),
]),
dbc.Card([
dbc.CardHeader([
dbc.InputGroup(
size="sm",
children=[
dbc.Button(
id="button-boids-reset",
children="Reset",
n_clicks=0,
color="primary",
disabled=False,
),
dbc.InputGroupText("Seperation:"),
dbc.Input(
id="input-boids-seperation",
min=0,
placeholder="<Non-negative number>",
value=1,
disabled=False,
),
],
),
]),
dbc.CardBody([
dcc.Graph(
id="graph-boids-sim",
config={
"displayModeBar": False,
import dash_bootstrap_components as dbc
from dash import html
input_groups = html.Div([
dbc.InputGroup(
[dbc.InputGroupText("@"),
dbc.Input(placeholder="Username")],
className="mb-3",
),
dbc.InputGroup(
[
dbc.Input(placeholder="Recipient's username"),
dbc.InputGroupText("@example.com"),
],
className="mb-3",
),
dbc.InputGroup(
[
dbc.InputGroupText("$"),
dbc.Input(placeholder="Amount", type="number"),
dbc.InputGroupText(".00"),
],
className="mb-3",
),
dbc.InputGroup(
[
dbc.InputGroupText("Total:"),
dbc.InputGroupText("$"),
dbc.Input(placeholder="Amount", type="number"),
dbc.InputGroupText(".00"),
dbc.InputGroupText("only"),
if unit is None and variable.declaredType is not None:
unit = variable.declaredType.unit
names.append(variable.name)
id = f'variable-{i}'
row = dbc.Row([
dbc.Label(variable.name, html_for=id, width=6),
dbc.Col(
dbc.InputGroup([
dbc.Input(id=id,
value=variable.start,
style={'text-align': 'right'}),
dbc.InputGroupText(unit if unit else " ")
],
size="sm"),
width=6,
),
],
className='mb-2')
rows.append(row)
states.append(State(id, 'value'))
stop_time = None
if model_description.defaultExperiment:
stop_time = model_description.defaultExperiment.stopTime
"label": period["label"],
"value": i
} for i, period in enumerate(time_period_data)],
value=0,
labelClassName="mb-2",
),
],
body=True,
className="mt-4",
)
# ======= InputGroup components
start_amount = dbc.InputGroup(
[
dbc.InputGroupText("Start Amount $"),
dbc.Input(
id="starting_amount",
placeholder="Min $10",
type="number",
min=10,
value=10000,
),
],
className="mb-3",
)
start_year = dbc.InputGroup(
[
dbc.InputGroupText("Start Year"),
dbc.Input(
id="start_yr",
import dash_bootstrap_components as dbc
from dash import html
input_group = html.Div(
[
dbc.InputGroup([dbc.InputGroupText("Large"), dbc.Input()], size="lg"),
html.Br(),
dbc.InputGroup([dbc.InputGroupText("Default"), dbc.Input()]),
html.Br(),
dbc.InputGroup([dbc.InputGroupText("Small"), dbc.Input()], size="sm"),
]
)
dbc.CardHeader([
dcc.Markdown("""
### The Simulation
***
"""),
dbc.InputGroup(
size="sm",
children=[
dbc.Button(
id="button-gol-clear",
children="Clear Cells",
n_clicks=0,
color="primary",
disabled=False,
),
dbc.InputGroupText("Rows:"),
dbc.Select(id="select-gol-rows",
value=default_rows,
options=[{
"value": dim,
"label": dim
} for dim in [10, 25, 50, 75, 100]]),
dbc.InputGroupText("Cols:"),
dbc.Select(id="select-gol-cols",
value=default_cols,
options=[{
"value": dim,
"label": dim
} for dim in [10, 25, 50, 75, 100]]),
dbc.InputGroupText("Duration:"),
dbc.Select(id="select-gol-tdur",
],
navbar=True)
],
color="light",
dark=False,
sticky="top",
)
DATASELECTION_CARD = [
dbc.CardHeader(html.H5("Data Selection")),
dbc.CardBody(
[
html.H5(children='GNPS Data Selection'),
dbc.InputGroup(
[
dbc.InputGroupText("Spectrum USI"),
dbc.Input(id='usi1', placeholder="Enter GNPS USI", value=""),
],
className="mb-3",
),
dbc.Row([
dbc.Col([
dbc.Button("Copy Link", color="info", id="copy_link_button", n_clicks=0),
]),
dbc.Col([
html.A(dbc.Button("View MASST Search", color="info", n_clicks=0),
id="link_to_masst", href="", target="_blank"),
])]
),
html.Div(
[
for key in Fractal.example_paths[path].keys()
],
),
dbc.Input(
f"input-fractal-{path}",
value="Custom Linear Shape",
disabled=False,
),
dbc.Button(
id=f"button-fractal-{path}-undo",
children="Undo",
color="primary",
n_clicks=0,
),
dbc.InputGroupText(
children="Modifying:",
),
dbc.Button(
id=f"button-fractal-{path}-mod",
children=fractal_segment_datum["name"],
color="primary",
n_clicks=1,
),
],
),
]),
dbc.CardBody([
dcc.Graph(
id=f"graph-fractal-{path}",
config={"displayModeBar":False, "displaylogo":False},
figure={