Fixes for flake8

Author: wch

examples/outputs/app.py

@@ -1,11 +1,11 @@
 import warnings
 
-import pandas as pd
 import numpy as np
-
+import pandas as pd
+from htmltools import HTML, head_content
 from shiny import *
+
 from shinywidgets import *
-from htmltools import head_content, HTML
 
 # TODO: jupyter_bokeh assumes this additional JS has been loaded into the
 # (in a notebook, this comes in via bokeh.io.output_notebook()).
@@ -18,7 +18,7 @@
 
     bokeh_dependency = head_content(HTML(Resources(mode="inline").render()))
 except ImportError:
-    warnings.warn("Could not import bokeh")
+    warnings.warn("Could not import bokeh", stacklevel=2)
 
 
 app_ui = ui.page_fluid(
@@ -149,7 +149,7 @@ def _():
     @output(id="bqplot")
     @render_widget
     def _():
-        from bqplot import OrdinalScale, LinearScale, Bars, Lines, Axis, Figure
+        from bqplot import Axis, Bars, Figure, LinearScale, Lines, OrdinalScale
 
         size = 20
         x_data = np.arange(size)

examples/superzip/app.py

@@ -1,22 +1,24 @@
 import os
-from typing import Tuple, List, Optional
+from typing import List, Optional, Tuple
 
+import ipyleaflet as leaf
+import ipywidgets
+import matplotlib as mpl
+import numpy as np
+import pandas as pd
+import plotly.figure_factory as ff
+import plotly.graph_objs as go
 from htmltools import head_content
+from ipyleaflet import basemaps
+from matplotlib import cm
 from shiny import *
 from shiny.types import SilentException
+
 from shinywidgets import *
-import ipywidgets
-import ipyleaflet as leaf
-from ipyleaflet import basemaps
-import plotly.graph_objs as go
-import plotly.figure_factory as ff
-import pandas as pd
-import numpy as np
-import matplotlib as mpl
-from matplotlib import cm
 
 color_palette = cm.get_cmap("viridis", 10)
 
+
 # TODO: how to handle nas (pd.isna)?
 def col_numeric(domain: Tuple[float, float], na_color: str = "#808080"):
     rescale = mpl.colors.Normalize(domain[0], domain[1])
@@ -108,7 +110,6 @@ def density_plot(
     title: Optional[str] = None,
     showlegend: bool = False,
 ):
-
     dat = [overall[var], in_bounds[var]]
     if var == "Population":
         dat = [np.log10(x) for x in dat]
@@ -142,7 +143,7 @@ def density_plot(
         ),
     )
     # hovermode itsn't working properly when dynamically, absolutely positioned
-    for i, trace in enumerate(fig.data):
+    for _, trace in enumerate(fig.data):
         trace.update(hoverinfo="none")
 
     if selected is not None:
@@ -180,7 +181,6 @@ def create_map(**kwargs):
 
 
 def server(input: Inputs, output: Outputs, session: Session):
-
     # ------------------------------------------------------------------------
     # Main map logic
     # ------------------------------------------------------------------------

shinywidgets/_shinywidgets.py

@@ -85,11 +85,11 @@ def init_shiny_widget(w: Widget):
     # By the time we get here, the user has already had an opportunity to specify a model_id,
     # so it isn't yet populated, generate a random one so we can assign the same id to the comm
     if getattr(w, "_model_id", None) is None:
-        setattr(w, "_model_id", uuid4().hex)
+        w._model_id = uuid4().hex
 
     # Initialize the comm...this will also send the initial state of the widget
     w.comm = ShinyComm(
-        comm_id=getattr(w, "_model_id"),
+        comm_id=w._model_id,
         comm_manager=COMM_MANAGER,
         target_name="jupyter.widgets",
         data={"state": state, "buffer_paths": buffer_paths},
@@ -239,8 +239,6 @@ def _as_widget(x: object) -> Widget:
 
     elif pkg == "pydeck" and not isinstance(x, Widget):
         try:
-            from pydeck.widget import DeckGLWidget
-
             x = x.show()
         except Exception as e:
             raise RuntimeError(f"Failed to coerce {x} into a DeckGLWidget: {e}")