Datasets:
jblitzar
/
github-python

Dataset card Data Studio Files
xet
Community
text
stringlengths
0
93.6k
},
form_layout=AccordionFormLayout(
sections=[
FormSection(name="General", fields=["name", "age", "mini_bio"], default_open=True),
FormSection(
name="HR",
fields=["office", "joined", "location", "resume_file", "metadata"],
default_open=True,
),
FormSection(name="Other", fields=["pets", "jobs"], default_open=True),
],
),
),
],
pt="1rem",
)
),
dmc.AppShellAside(
dmc.ScrollArea(
dmc.Text(
id=ids.form_dependent_id("output", AIO_ID, FORM_ID),
style={"whiteSpace": "pre-wrap"},
p="1rem 0.5rem",
),
),
),
],
aside={"width": 350},
),
)
@callback(
Output(ids.form_dependent_id("output", MATCH, MATCH), "children"),
Output(ModelForm.ids.errors(MATCH, MATCH), "data"),
Input(ModelForm.ids.main(MATCH, MATCH), "data"),
State(ModelForm.ids.model_store(MATCH, MATCH), "data"),
prevent_initial_call=True,
)
def display(form_data, model_name):
"""Display form data."""
children = dmc.Stack(
[
dmc.Text("Form data", mb="-0.5rem", fw=600),
dmc.Code(
json.dumps(form_data, indent=2),
),
]
)
errors = None
try:
model_cls = get_model_cls(model_name)
item = model_cls.model_validate(form_data)
children.children[1].children = item.model_dump_json(indent=2)
except ValidationError as e:
children.children.extend(
[
dmc.Text("Validation errors", mb="-0.5rem", fw=500, c="red"),
dmc.List(
[
dmc.ListItem(
[SEP.join([str(x) for x in error["loc"]]), f" : {error['msg']}, got {error['input']}"],
)
for error in e.errors()
],
size="sm",
c="red",
),
]
)
errors = None
errors = {SEP.join([str(x) for x in error["loc"]]): error["msg"] for error in e.errors()}
return children, errors
clientside_callback(
"""(isLightMode) => isLightMode ? 'light' : 'dark'""",
Output("mantine-provider", "forceColorScheme"),
Input("scheme-switch", "checked"),
prevent_initial_callback=True,
)
if __name__ == "__main__":
app.run_server(debug=True)
# <FILESEP>
import argparse
import copy
import pickle
import numpy as np
import torch
from agent.qvpo import QVPO
from agent.replay_memory import ReplayMemory, DiffusionMemory
from tensorboardX import SummaryWriter
import gym