[BUG]: deserialization of xrange of box select in figure with multiple subplots broken

Description

When you do a box (or lasso) select in a figure with multiple subplots (not the first subplot) the selection x/yrange is not a list/dict but a plain python object.

The gif above was created with this example:

import plotly.graph_objects as go
import solara
from plotly.subplots import make_subplots

def build_figure() -> go.Figure:
	fig = make_subplots(rows=1, cols=2, subplot_titles=("Scatter", "Bar"))
	fig.add_trace(go.Scatter(x=[1, 2, 3, 4, 5, 6], y=[2, 1, 3, 5, 4, 6], name="Series A"), row=1, col=1)
	fig.add_trace(go.Bar(x=["A", "B", "C"], y=[3, 1, 2], name="Series B"), row=1, col=2)
	fig.update_layout(title="FigureWidget example with 2 subplots",)
	return fig

@solara.component
def Page():
	def on_selection(data):
		print("on_select data:", data, flush=True)
	solara.FigurePlotly(build_figure(), on_selection=on_selection)

Steps to reproduce

1. Create a figure with more than one subplot.
2. Do a box select in the second subplot.
3. Observe the data send to on_select.

首先运行使用 plotly.subplots 和 solara.FigurePlotly 提供的 Python 示例，然后检查第二个 subplot 中进行 box 选择时的 on_selection 回调数据。跟踪非第一个 subplot 的 selection x/yrange 是如何被反序列化的。当这些范围以 list 或 dictionary 而不是普通 Python object 的形式到达时，即表示完成。