Nested Tab autocompletion weird bug

[nomagic]

Issue Report Checklist

• [ X] Searched the issues page for similar reports
• [ X] Read the relevant sections of the Spyder Troubleshooting Guide and followed its advice
• [ X] Reproduced the issue after updating with conda update spyder (or pip, if not using Anaconda)
• [X ] Could not reproduce inside jupyter qtconsole (if console-related)
• [ ] Tried basic troubleshooting (if a bug/error)
  • [X ] Restarted Spyder
  • [ ] Reset preferences with spyder --reset
  • [ ] Reinstalled the latest version of Anaconda
  • [ ] Tried the other applicable steps from the Troubleshooting Guide
• [ X] Completed the Problem Description, Steps to Reproduce and Version sections below

Problem Description

When in the ipython console, and attempting to "autocomplete" within the parentheses of a function call, <Tab> will indeed bring up a list of suitable attributes/functions, but it erases what has been typed within the parentheses?

What steps reproduce the problem?

1. within ipython console
2. import datetime
3. datetime.date(datetime.dat TAB

What is the expected output? What do you see instead?

Expected is that I would see the popup-completion box to offer appropriate suggestions (it does), but it does so at the "cost" of replacing datetime.date(datetime.dat... with datetime.date(.
extremely annoying

I tried the same in standalone ipython, and couldn't reproduce the bug, so doesn't seem to be ipython related and this is a new issue, I've been using spyder for years and I can't remember that ever happening before

Paste Traceback/Error Below (if applicable)

None

Versions

• Spyder version: 5.5.5
• Python version: 3.12.3 (64-bit)
• Qt version: 5.15.2
• PyQt version: 5.15.10
• Operating System name/version: Windows 11

Dependencies

# Mandatory:
atomicwrites >=1.2.0             :  1.4.0 (OK)
chardet >=2.0.0                  :  5.2.0 (OK)
cloudpickle >=0.5.0              :  3.0.0 (OK)
cookiecutter >=1.6.0             :  2.3.0 (OK)
diff_match_patch >=20181111      :  20200713 (OK)
intervaltree >=3.0.2             :  3.0.2 (OK)
IPython >=8.13.0,<9.0.0,!=8.17.1 :  8.25.0 (OK)
jedi >=0.17.2,<0.20.0            :  0.19.1 (OK)
jellyfish >=0.7                  :  1.0.3 (OK)
jsonschema >=3.2.0               :  4.19.2 (OK)
keyring >=17.0.0                 :  24.2.0 (OK)
nbconvert >=4.0                  :  7.16.1 (OK)
numpydoc >=0.6.0                 :  1.3 (OK)
paramiko >=2.4.0                 :  2.8.0 (OK)
parso >=0.7.0,<0.9.0             :  0.8.4 (OK)
pexpect >=4.4.0                  :  4.8.0 (OK)
pickleshare >=0.4                :  0.7.5 (OK)
psutil >=5.3                     :  5.9.5 (OK)
pygments >=2.0                   :  2.16.1 (OK)
pylint >=3.1,<4                  :  3.1.0 (OK)
pylint_venv >=3.0.2              :  3.0.3 (OK)
pyls_spyder >=0.4.0              :  0.4.0 (OK)
pylsp >=1.11.0,<1.12.0           :  1.11.0 (OK)
pylsp_black >=2.0.0,<3.0.0       :  2.0.0 (OK)
qdarkstyle >=3.2.0,<3.3.0        :  3.2 (OK)
qstylizer >=0.2.2                :  0.2.2 (OK)
qtawesome >=1.3.1,<1.4.0         :  1.3.1 (OK)
qtconsole >=5.5.1,<5.6.0         :  5.5.2 (OK)
qtpy >=2.1.0                     :  2.4.1 (OK)
rtree >=0.9.7                    :  1.1.0 (OK)
setuptools >=49.6.0              :  69.2.0 (OK)
sphinx >=0.6.6                   :  7.2.6 (OK)
spyder_kernels >=2.5.2,<2.6.0    :  2.5.2 (OK)
textdistance >=4.2.0             :  4.5.0 (OK)
three_merge >=0.1.1              :  0.1.1 (OK)
watchdog >=0.10.3                :  2.2.0 (OK)
zmq >=24.0.0                     :  25.1.2 (OK)

# Optional:
cython >=0.21                    :  3.0.10 (OK)
matplotlib >=3.0.0               :  3.8.3 (OK)
numpy >=1.7                      :  1.26.4 (OK)
pandas >=1.1.1                   :  2.2.2 (OK)
scipy >=0.17.0                   :  1.12.0 (OK)
sympy >=0.7.3                    :  1.12 (OK)

[dalthviz]

Hi @nomagic thank you for the report! Checking, maybe this is related with #21803? Let us know!

[nomagic]

yes, this looks like a duplicate of #21803

[dalthviz]

Closing as a duplicate of #21803

[ccordoba12]

This should be solved in IPython 8.27, released a couple of weeks ago.