从 Databricks 上的 Jupyter 笔记本中的单元格复制的代码被缩短，并部分替换为三个点 （...）

问：

从一个 Jupyter 笔记本单元格复制代码提取并将其粘贴到另一个单元格中时，复制的代码将被部分省略，省略的部分将替换为三个点（单个字符三个点）。我在 Databricks 工作区（可通过 Web 浏览器访问）中运行笔记本。ctrl + cctrl + v…

例如，假设笔记本中的单元格包含以下代码：

spark.sql(f"""
select 
  0 as somecolumn_0,
  1 as somecolumn_1,
  2 as somecolumn_2,
  3 as somecolumn_3,
  4 as somecolumn_4,
  5 as somecolumn_5,
  6 as somecolumn_6,
  7 as somecolumn_7,
  8 as somecolumn_8,
  9 as somecolumn_9,
  10 as somecolumn_10,
  0 as somecolumn_11,
  1 as somecolumn_12,
  2 as somecolumn_13,
  3 as somecolumn_14,
  4 as somecolumn_15,
  5 as somecolumn_16,
  6 as somecolumn_17,
  7 as somecolumn_18,
  8 as somecolumn_19,
  9 as somecolumn_20,
  10 as somecolumn_21
""")

当我复制代码并使用并尝试将其粘贴到另一个单元格中时，将粘贴以下代码：ctrl + cctrl + v

spark.sql(f"""
select 
  0 as somecolumn_0,
  1 as somecolumn_1,
  2 as somecolumn_2,
  3 as somecolumn_3,
  4 as somecolumn_4,
  5 as somecolumn_5,
  6 as somecolumn_6,
  7 as somecolumn_7,
…  7 as somecolumn_18,
  8 as somecolumn_19,
  9 as somecolumn_20,
  10 as somecolumn_21
""")

请注意，复制方式确实会产生正确的结果，即使粘贴了 .right click > copyctrl + v

预期的结果是，第一个代码段中的代码完全按原样粘贴。该问题似乎与笔记本没有特别的联系，因为其他用户完全能够使用所述的键盘快捷键在笔记本中复制和粘贴代码。具体来说，这个问题在其他笔记本中仍然存在。我还尝试使用不同的键盘来消除硬件原因。

任何想法，这可能是什么原因，以及如何解决它？