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Cannot upgrade to 5.3.3 from Anaconda Navigator, or by using Conda (Anaconda base environment)

See original GitHub issue

Description

What steps will reproduce the problem?

If I try to upgrade to 5.3.3 using Anaconda Navigator it fails. If I try to use the terminal and the conda commands, it also fails. Only way I can get 5.3.3 is as stand alone

Versions

Spyder version: 5.2.2
Python version: 3.9.13
Qt version: 5.9.7
PyQt5 version: 5.9.2
Operating System: Windows 10

Dependencies

# Mandatory:
atomicwrites >=1.2.0          :  1.4.0 (OK)
chardet >=2.0.0               :  4.0.0 (OK)
cloudpickle >=0.5.0           :  2.0.0 (OK)
cookiecutter >=1.6.0          :  1.7.3 (OK)
diff_match_patch >=20181111   :  20200713 (OK)
intervaltree >=3.0.2          :  3.1.0 (OK)
IPython >=7.6.0;<8.0.0        :  7.31.1 (OK)
jedi >=0.17.2;<0.19.0         :  0.18.1 (OK)
jellyfish >=0.7               :  0.9.0 (OK)
jsonschema >=3.2.0            :  4.16.0 (OK)
keyring >=17.0.0              :  23.4.0 (OK)
nbconvert >=4.0               :  6.4.4 (OK)
numpydoc >=0.6.0              :  1.4.0 (OK)
paramiko >=2.4.0              :  2.8.1 (OK)
parso >=0.7.0;<0.9.0          :  0.8.3 (OK)
pexpect >=4.4.0               :  4.8.0 (OK)
pickleshare >=0.4             :  0.7.5 (OK)
psutil >=5.3                  :  5.9.0 (OK)
pygments >=2.0                :  2.11.2 (OK)
pylint >=2.5.0                :  2.14.5 (OK)
pyls_spyder >=0.4.0           :  0.4.0 (OK)
pylsp >=1.3.2;<1.4.0          :  1.3.3 (OK)
pylsp_black >=1.0.0           :  1.0.0 (OK)
qdarkstyle =3.0.2             :  3.0.2 (OK)
qstylizer >=0.1.10            :  0.1.10 (OK)
qtawesome >=1.0.2             :  1.0.3 (OK)
qtconsole >=5.2.1;<5.3.0      :  5.2.2 (OK)
qtpy >=1.5.0                  :  2.2.0 (OK)
rtree >=0.9.7                 :  0.9.7 (OK)
setuptools >=49.6.0           :  63.4.1 (OK)
sphinx >=0.6.6                :  5.0.2 (OK)
spyder_kernels >=2.2.1;<2.3.0 :  2.2.1 (OK)
textdistance >=4.2.0          :  4.2.1 (OK)
three_merge >=0.1.1           :  0.1.1 (OK)
watchdog >=0.10.3             :  2.1.6 (OK)
zmq >=17                      :  23.2.0 (OK)

# Optional:
cython >=0.21                 :  0.29.32 (OK)
matplotlib >=2.0.0            :  3.5.2 (OK)
numpy >=1.7                   :  1.21.5 (OK)
pandas >=1.1.1                :  1.4.4 (OK)
scipy >=0.17.0                :  1.9.1 (OK)
sympy >=0.7.3                 :  1.10.1 (OK)

Issue Analytics

State:
Created a year ago
Comments:8 (4 by maintainers)

Top GitHub Comments

2reactions

yanyu2015commented, Nov 10, 2022

@dalthviz It works well now. The above phenomenon may be due to the large dataset I used at the time.

1reaction

scrappydog1958commented, Nov 3, 2022

Fantastic!!! worked like a charm. A thousand thanks sir. So happy I joined Github

Thank you,

Thomas

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