annotation coordinates do not respect log scaling

When adding annotations to a plot that uses log scaling, the annotation coordinates need to be rescaled to represent the log10 of the actual coordinates. While this is documented behavior, it is rather counterintuitive and should be fixed.
Seemingly no other axis-types (date, for instance) needs special treatment but works without modifying the underlying data.

Minimum example demonstrating the point, i.e. label_y is 4 but plotted at 10^4:

df = pd.DataFrame(data={'x':[1,2,3,4],
                        'y':[1,4,9,16],
                        })

fig = px.line(df,
              x='x',
              y='y',
              log_y=True,
              log_x=True,
              )

annotations = []
fig.for_each_trace(
    lambda trace: annotations.append(dict(x=np.log10(np.sqrt(trace.x[0]*trace.x[-1])),
                                          y=np.sqrt(trace.y[0]*trace.y[-1]),
                                          text=f'({np.sqrt(trace.x[0]*trace.x[-1])},{np.sqrt(trace.y[0]*trace.y[-1])})',))
)

fig.update_layout(annotations=annotations,
                  width=300,
                  height=300,
                  )
fig.show()

未指定源文件或测试。首先复现一个 x 轴和 y 轴采用对数刻度的最小示例，然后跟踪注释和轴坐标的处理方式；完成的标准是注释能够在对数轴上接受实际数据坐标，同时日期和其他轴类型仍能正常工作，而不改变底层数据。