Using older notebook on latest Anaconda Navigator tensorflow unsatisfiable error

I tried running a notebook on navigator which i recently downloaded and i get a tensorflow missing module error so i go to download it and i get unsatisfiable error.

UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - alabaster -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.5,<3.6.0a0']
  - appdirs -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|>=3.7,<3.8.0a0']
  - argon2-cffi -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0']

Which is the right tensorflow module to download or how do i get past this? Iโ€™ve tried many times to install the tensorflow module with this error. So I went home where i have anaconda navigator installed on my mac and where i know it works fine so I noticed it has something else, it has an extra environment called anaconda2 installed under opt/anaconda2. In other words, it has the base (root) environment the same as the win11 pc and neither of these base (root) have the tensorflow module. But the macos installation of anaconda navigator also shows another environment called anaconda2 which DOES have the tensorflow module in it.

Any idea how or why i got this installed on the macos and how to get it installed on the win11 pc?

thx

1 Like

Hello, Iโ€™m from Japan.

Although it is in Japanese, I will introduce the URL that explains how to use the conda command.

In such a situation, you can solve it by making good use of the conda command. You can use the conda command to switch the environment, switch the python version, and so on.
The hard disk is consumed by that amount.
However, it is a very effective method when you want to try a new environment, or when the package collides with each other and it is difficult to use.

I would appreciate it if you could refer to it.

hI,

Following your articleโ€™s instructions, i wasnt sure where to start but I proceeded to run:

conda install tensorflow=2.0

but i get the same unsatisfiable error due to a it requiring python 3.6 i think and i have 3.9.12.

So i did

conda install black

and it worked fine, i ran search blac and got this:

(base) C:\Users\marci>conda search blac
Loading channels: done
No match found for: blac. Search: *blac*
# Name                       Version           Build  Channel
black                         19.3b0            py_0  pkgs/main
black                        19.10b0            py_0  pkgs/main
pyls-black                     0.4.6      hd3eb1b0_0  pkgs/main
python-lsp-black               1.0.0    pyhd3eb1b0_0  pkgs/main```

then i proceeded to run:

conda install python 3.8

and got this:

(base) C:\Users\marci>conda install python=3.8
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: done
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment:

hello

You tried it, didnโ€™t you? Thank you.
Python JP also explained the differences between the pure version (PSF) and Anaconda.

To use anaconda in the future, please use the necessary packages.
conda search

After doing
conda install

It would be good to do.

For more information,
https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html

It is good to refer to.

see you.

thanks,

i didnt run conda install. I installed anaconda navigator from the executable downloaded file from their website.

But when i run conda install tensorflow it fails with a bunch of errors i dont think i can post here:


(base) C:\Users\marci>conda install tensorflow
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
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64%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š                  | 260/409 [02:45<01:16,  1.95it/s]/Examining astropy:  66%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ                     | 269/409 [02:46<00:21,  6.66it/s]-Examining flask:  67%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ                     | 273/409 [02:54<02:00,  1.13it/s]|Examining pep8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž                   | 283/409 [02:57<00:41,  3.03it/s]-Examining ipywidgets:  72%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ                | 293/409 [03:02<01:07,  1.71it/s]|Examining mkl-service:  72%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ                | 295/409 [03:04<01:48,  1.05it/s]-Examining libcrc32c:  73%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰                | 298/409 [03:06<01:39,  1.11it/s]|Examining tenacity:  74%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–               | 303/409 [03:14<02:29,  1.41s/it]|Examining jdcal:  75%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰                | 305/409 [03:14<01:37,  1.06it/s]/Examining google-auth:  76%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ              | 309/409 [03:17<01:37,  1.03it/s]|Examining python-fastjsonschema:  79%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž         | 325/409 [03:30<00:52,  1.59it/s]/Examining locket:  82%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š           | 335/409 [03:35<00:58,  1.26it/s]|Examining brotlipy:  83%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹          | 339/409 [03:35<00:20,  3.45it/s]/Examining python=3.9:  86%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹        | 350/409 [03:38<00:13,  4.42it/s]|Examining toolz:  86%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ         | 351/409 [03:38<00:12,  4.72it/s]/Examining click:  88%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ       | 361/409 [04:05<00:55,  1.16s/it]|Examining mkl_random:  90%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–     | 370/409 [04:10<00:33,  1.17it/s]|Examining anaconda-client:  91%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 374/409 [04:16<00:51,  1.47s/it]/Examining py:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹     | 376/409 [04:30<00:35,  1.08s/it]-Examining vs2015_runtime:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰    | 378/409 [04:30<01:26,  2.78s/it]\Examining keras:  93%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ    | 380/409 [04:31<01:20,  2.78s/it]\Examining six:  95%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ   | 387/409 [04:33<00:12,  1.71it/s]\Examining pytables:  95%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 388/409 [04:34<00:10,  2.06it/s]|Examining matplotlib-inline:  96%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ  | 393/409 [04:37<00:09,  1.77it/s]\Examining openssl:  97%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ  | 396/409 [04:38<00:06,  2.02it/s]\Determining conflicts:   0%|                                                                   | 0/409 [00:00<?, ?it/s]-Examining conflict for google-api-core cytoolz pylint twisted queuelib libprotobuf hdf5 python-lsp-server pywavelets an-Examining conflict for google-api-core cytoolz pylint twisted queuelib python-lsp-server pywavelets anaconda-project pr\Examining conflict for pip scrapy google-api-core twisted pyct jupyterlab_server bcrypt conda-token anaconda panel anac/Examining conflict for google-api-core cytoolz pylint twisted queuelib libprotobuf hdf5 python-lsp-server pywavelets an\Examining conflict for googleapis-common-protos google-api-core google-cloud-storage google-cloud-core anaconda:   3%| -Examining conflict for markdown pip scrapy numba google-api-core isort clyent xarray pygments grpcio python-lsp-server /Examining conflict for pip scrapy google-api-core botocore twisted urllib3 pyct jupyterlab_server cryptography distribu|Examining conflict for cytoolz intake scikit-image distributed anaconda datashader dask:   8%| | 33/409 [22:41<4:47:47,-Examining conflict for isort pylint spyder python-lsp-server anaconda:  11%|โ–Š       | 43/409 [26:03<2:07:31, 20.91s/it]|Examining conflict for pytest pyls-spyder intake pylint sqlalchemy jupyterlab_server flake8 python-lsp-server spyder nb/Examining conflict for google-auth scrapy black automat pytest attrs twisted prometheus_client nbformat spyder jupyterl-Examining conflict for pip dask-core seaborn qtawesome twisted jupyterlab_server nbconvert conda-token matplotlib-base -Examining conflict for scrapy automat pytest attrs twisted zope.interface service_identity anaconda zope aiohttp:  18%|/Examining conflict for h5py hdf5 pytables keras anaconda:  19%|โ–ˆโ–ˆโ–ˆโ–ˆ                 | 79/409 [36:34<1:50:00, 20.00s/it]\Examining conflict for pyls-spyder spyder python-lsp-server pydocstyle anaconda python-lsp-black:  22%|โ–| 91/409 [41:28|Examining conflict for scipy numba numpy scikit-learn seaborn xarray mkl-service numpy-base matplotlib-base anaconda py-Examining conflict for scipy numba numpy scikit-learn seaborn xarray mkl-service numpy-base matplotlib-base anaconda py-Examining conflict for conda-verify holoviews panel tqdm nltk conda-build conda anaconda conda-package-handling anacond\Examining conflict for ipywidgets pygments ipykernel nbconvert anaconda prompt_toolkit jupyterlab prompt-toolkit jupyte-Examining conflict for anaconda pexpect ptyprocess spyder:  30%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š             | 124/409 [55:47<1:41:51, 21.45s/it]\Examining conflict for qtconsole anaconda-navigator spyder pyqt navigator-updater anaconda matplotlib sip:  31%|โ–Ž| 125/\Examining conflict for holoviews libpng seaborn nltk scikit-image freetype bokeh tifffile pyqt astropy qt matplotlib-ba|Examining conflict for qtconsole anaconda-navigator spyder pyqt navigator-updater qt anaconda matplotlib:  32%|โ–Ž| 130/4-Examining conflict for anaconda ipython executing stack_data:  32%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ           | 130/409 [58:21<1:44:05, 22.39s/it]/Examining conflict for anaconda xlsxwriter:  35%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ                     | 142/409 [1:02:00<1:25:44, 19.27s/it]/Examining conflict for scikit-learn-intelex scikit-learn nltk threadpoolctl anaconda:  37%|โ–Ž| 150/409 [1:04:15<1:16:50,/Examining conflict for anaconda openpyxl:  38%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š                     | 154/409 [1:05:07<1:18:06, 18.38s/it]\Examining conflict for anaconda openpyxl et_xmlfile:  38%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹              | 154/409 [1:05:07<1:18:06, 18.38s/it]|Examining conflict for anaconda inflection spyder qstylizer:  40%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ         | 165/409 [1:07:41<1:06:52, 16.45s/it]\Examining conflict for win_unicode_console jupyterlab holoviews ipywidgets ipython ipykernel jupyter_console anaconda: \Examining conflict for itemloaders scrapy cssselect parsel anaconda:  41%|โ–ˆโ–ˆโ–‰    | 168/409 [1:08:51<1:08:39, 17.09s/it]\Examining conflict for anaconda itemloaders parsel scrapy:  42%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ          | 170/409 [1:09:08<1:07:23, 16.92s/it]|Examining conflict for scrapy itemloaders lxml parsel anaconda:  42%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰        | 172/409 [1:09:31<54:20, 13.76s/it]-Examining conflict for itemloaders parsel scrapy:  42%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š                | 172/409 [1:09:48<54:20, 13.76s/it]|Examining conflict for jupyterlab werkzeug nltk flask jupyterlab_server jupyter_server dataclasses nbclassic gensim any\Examining conflict for conda-verify conda-build conda python-libarchive-c libarchive anaconda conda-package-handling:  |Examining conflict for scrapy lxml libiconv libxslt conda-build python-libarchive-c libarchive anaconda conda-package-h/Examining conflict for botocore requests urllib3 distributed pysocks anaconda:  45%|โ–| 185/409 [1:12:36<48:04, 12.88s/i-Examining conflict for dask-core intake anaconda scikit-image distributed fsspec datashader dask:  45%|โ–| 186/409 [1:13/Examining conflict for brotlipy google-crc32c argon2-cffi-bindings argon2-cffi pynacl cryptography pycparser cffi bcryp/Examining conflict for widgetsnbextension ipywidgets jupyterlab_server ipykernel nbconvert nbclassic anaconda jupyterla|Examining conflict for jupyterlab holoviews widgetsnbextension nest-asyncio ipywidgets qtconsole jupyterlab_server nbcl-Examining conflict for anaconda nose:  53%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–                  | 217/409 [1:22:36<55:11, 17.25s/it]|Examining conflict for numba tbb4py dal tbb numpy-base daal4py anaconda datashader:  53%|โ–Œ| 218/409 [1:22:36<54:45, 17./Examining conflict for conda-verify conda-build conda-token conda conda-package-handling:  56%|โ–Œ| 229/409 [1:26:24<1:25/Examining conflict for anaconda xlrd:  57%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰                 | 234/409 [1:27:17<48:07, 16.50s/it]|Examining conflict for jupyterlab holoviews widgetsnbextension jupyterlab_server notebook spyder jupyter jupyter_server-Examining conflict for conda-verify pyls-spyder spyder future conda-build anaconda:  61%|โ–Œ| 251/409 [1:31:56<57:10, 21./Examining conflict for holoviews bokeh anaconda bkcharts datashader dask:  66%|โ–ˆโ–ˆโ–‹ | 270/409 [1:38:19<47:23, 20.46s/i\

from ktsh.tanaka.2020 to quique123

There is a conflict between the packages in your Anaconda and the Tesorflow you want to install.
To change this situation, it is good to create an environment for Tensorflow.

example:
(base) $ conda create --name tensorflow python=3.8

The created environment is activated by the conda activate environment name.

example:
(base) $ conda activate tensorflow
(tensorflow) $

In this newly created environment, even conflicting packages can be installed.
example:
(base) $ conda activate py36
(py36) $

When you switch the Conda environment, the prompt display also switches from (base) to (py36).

Letโ€™s install TensorFlow 1.15 in this environment. When installing by specifying the version, specify in the format of conda install package name = version.

(py36) $ conda install tensorflow = 1.15
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: done

Package Plan

environment location: / opt / anaconda3 / envs / py36

added / updated specs:
โ€“tensorflow = 1.15

Letโ€™s create another environment for Python 3.7 with the name py37.

(py36) $ conda create --name py37 python = 3.7
Collecting package metadata (current_repodata.json): done

Activate the py37 environment you created.

(py36) $ conda activate py37
(py37) $

Install TensortFlow 2.0 in this environment.

(py37) $ conda install tensorflow = 2.0

I hope that your Anaconda environment will be built successfully.

Regards, yours.

ok i tried following your instructions and i created the 2nd environment called tensorflow and then tried installing tensorflow 1.15 but again it fails:

Microsoft Windows [Version 10.0.19043.1706]
(c) Microsoft Corporation. All rights reserved.

(base) C:\Users\marci>conda create --name tensorflow python=3.8
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: C:\Users\marci\anaconda3\envs\tensorflow

  added / updated specs:
    - python=3.8


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    ca-certificates-2022.4.26  |       haa95532_0         124 KB
    certifi-2022.5.18.1        |   py38haa95532_0         157 KB
    openssl-1.1.1o             |       h2bbff1b_0         4.8 MB
    pip-21.2.2                 |   py38haa95532_0         1.9 MB
    python-3.8.13              |       h6244533_0        16.5 MB
    setuptools-61.2.0          |   py38haa95532_0         1.0 MB
    sqlite-3.38.3              |       h2bbff1b_0         806 KB
    wincertstore-0.2           |   py38haa95532_2          15 KB
    ------------------------------------------------------------
                                           Total:        25.3 MB

The following NEW packages will be INSTALLED:

  ca-certificates    pkgs/main/win-64::ca-certificates-2022.4.26-haa95532_0
  certifi            pkgs/main/win-64::certifi-2022.5.18.1-py38haa95532_0
  openssl            pkgs/main/win-64::openssl-1.1.1o-h2bbff1b_0
  pip                pkgs/main/win-64::pip-21.2.2-py38haa95532_0
  python             pkgs/main/win-64::python-3.8.13-h6244533_0
  setuptools         pkgs/main/win-64::setuptools-61.2.0-py38haa95532_0
  sqlite             pkgs/main/win-64::sqlite-3.38.3-h2bbff1b_0
  vc                 pkgs/main/win-64::vc-14.2-h21ff451_1
  vs2015_runtime     pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2
  wheel              pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
  wincertstore       pkgs/main/win-64::wincertstore-0.2-py38haa95532_2


Proceed ([y]/n)? y


Downloading and Extracting Packages
setuptools-61.2.0    | 1.0 MB    | ############################################################################ | 100%
wincertstore-0.2     | 15 KB     | ############################################################################ | 100%
certifi-2022.5.18.1  | 157 KB    | ############################################################################ | 100%
pip-21.2.2           | 1.9 MB    | ############################################################################ | 100%
openssl-1.1.1o       | 4.8 MB    | ############################################################################ | 100%
ca-certificates-2022 | 124 KB    | ############################################################################ | 100%
sqlite-3.38.3        | 806 KB    | ############################################################################ | 100%
python-3.8.13        | 16.5 MB   | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate tensorflow
#
# To deactivate an active environment, use
#
#     $ conda deactivate


(base) C:\Users\marci>conda activate tensorflow

(tensorflow) C:\Users\marci>conda activate py36

EnvironmentNameNotFound: Could not find conda environment: py36
You can list all discoverable environments with `conda info --envs`.



(tensorflow) C:\Users\marci>conda install tensorflow = 1.15

CondaValueError: invalid package specification: =


(tensorflow) C:\Users\marci>conda install tensorflow=1.15
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
                                                                                                                       -failed

UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - tensorflow=1.15 -> python[version='3.6.*|3.7.*']

Your python: python=3.8

If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.

(tensorflow) C:\Users\marci>
1 Like

from ktsh.tanaka.2020 to quique123

Did you try the Example as it is?

Python installed in your Anaconda is ver3.8, so it will not work as it is.

However, it seems that an environment for Tensorflow has been created, so it is a good idea to select Tensorflow that matches the Python version.

https://anaconda.org/conda-forge/tensorflow

As you can see, the current Tensorflow is ver2.8.1.

Therefore,
conda install tensorflow = 1.15
of
conda install tensorflow
You can do it.

The basic usage of Anaconda is

https://docs.anaconda.com/anaconda/user-guide/getting-started/#nav-hello

Please take advantage of it.

Regards, you.
ktsh.tanaka.2020

Yes I did try installing tensorflow1.15 above, its in the code i posted from the terminal. It also failed. I got this unsatisfiable error:

Specifications:

  - tensorflow=1.15 -> python[version='3.6.*|3.7.*']

Your python: python=3.8

It fails both on the base and on the newly created tensorflow environment. It fails from the command prompt as well as from the GUI installation option.

That is a very old version of tensorflow you are trying to install. Can you use a newer version? v1.15 is only available for Python 3.6 and 3.7 from Anaconda. You can see the packages available in the main Windows channel here: main/win-64

from ktsh.tanaka.2020 to quique123

hello,
Python ver3.8 Tensorflow is ver2 or later.
Details are below.

To install Tensorflow with Anaconda,

You need to run.
conda install -c conda-forge tensorflow

Here, it is necessary to add conda-forge

As you can see in
https://anaconda.org/conda-forge/tensorflow

Thatโ€™s why.
This package contains files in non-standard labels.

Regards, you.
ktsh.tanaka.2020

ok i dont know if its an issue with my anaconda navigator install but i get failed for everything. Its still working but everything i install seems to fail freeze or whatever:

Microsoft Windows [Version 10.0.19043.1706]
(c) Microsoft Corporation. All rights reserved.

(base) C:\Users\marci>conda install -c conda-forge tensorflow
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: /

It has now been going on for about 45 minutes:

(base) C:\Users\marci>conda install -c conda-forge tensorflow
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: /
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
-

from ktsh.tanaka.2020 to quique123

In your Anaconda, Tesorflow is in conflict, so I think it cannot be installed.

To avoid that situation,

$ Conda config --show

Please execute and check the contents.
And if Tensorflow or geopanda is included in it, Tensorflow that is trying to install newly will not be included.

In that case,
$ conda create --name tensorflow2 python = 3.8
To create an environment for Tensorflow2.

and,
$ conda activate tensorflow2
After executing
$ conda install -c conda-forge tensorflow
I think you should do it.

Regards, you.
ktsh.tanaka.2020

from ktsn.tanaka.2020 to quique123

Iโ€™m sorry for the frequent replies.

The latest information on how to use conda-forge can be found at the following sites.
https://conda-forge.org/

According to it, it should be set as follows.
๏ผ„conda config --add channels conda-forge
๏ผ„conda config --set channel_priority strict
๏ผ„ conda install

Here, if you change to tensorflow, you can install tensorflow.

Regards, you.
ktsh.tanaka.2020

ok i will first try the above conda config show and post back the results. Im not at the office now.

also what does channels do? that site doesnt load., i get this error โ€œDNS_PROBE_FINISHED_NXDOMAINโ€

I ran the show code for both environments and posted the results below. I dont see tensorflow on either of them.

Here are the results for the base environment:

Microsoft Windows [Version 10.0.19043.1706]
(c) Microsoft Corporation. All rights reserved.

(base) C:\Users\marci>Conda config --show
add_anaconda_token: True
add_pip_as_python_dependency: True
aggressive_update_packages:
  - ca-certificates
  - certifi
  - openssl
allow_conda_downgrades: False
allow_cycles: True
allow_non_channel_urls: False
allow_softlinks: False
always_copy: False
always_softlink: False
always_yes: None
anaconda_upload: None
auto_activate_base: True
auto_stack: 0
auto_update_conda: True
bld_path:
changeps1: True
channel_alias: https://conda.anaconda.org
channel_priority: flexible
channels:
  - defaults
client_ssl_cert: None
client_ssl_cert_key: None
clobber: False
conda_build: {}
create_default_packages: []
croot: C:\Users\marci\anaconda3\conda-bld
custom_channels:
  pkgs/main: https://repo.anaconda.com
  pkgs/r: https://repo.anaconda.com
  pkgs/msys2: https://repo.anaconda.com
  pkgs/pro: https://repo.anaconda.com
custom_multichannels:
  defaults:
    - https://repo.anaconda.com/pkgs/main
    - https://repo.anaconda.com/pkgs/r
    - https://repo.anaconda.com/pkgs/msys2
  local:
debug: False
default_channels:
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
  - https://repo.anaconda.com/pkgs/msys2
default_python: 3.9
default_threads: None
deps_modifier: not_set
dev: False
disallowed_packages: []
download_only: False
dry_run: False
enable_private_envs: False
env_prompt: ({default_env})
envs_dirs:
  - C:\Users\marci\anaconda3\envs
  - C:\Users\marci\.conda\envs
  - C:\Users\marci\AppData\Local\conda\conda\envs
error_upload_url: https://conda.io/conda-post/unexpected-error
execute_threads: 1
experimental_solver: classic
extra_safety_checks: False
force: False
force_32bit: False
force_reinstall: False
force_remove: False
ignore_pinned: False
json: False
local_repodata_ttl: 1
migrated_channel_aliases: []
migrated_custom_channels: {}
non_admin_enabled: True
notify_outdated_conda: True
offline: False
override_channels_enabled: True
path_conflict: clobber
pinned_packages: []
pip_interop_enabled: False
pkgs_dirs:
  - C:\Users\marci\anaconda3\pkgs
  - C:\Users\marci\.conda\pkgs
  - C:\Users\marci\AppData\Local\conda\conda\pkgs
proxy_servers: {}
quiet: False
remote_backoff_factor: 1
remote_connect_timeout_secs: 9.15
remote_max_retries: 3
remote_read_timeout_secs: 60.0
repodata_fns:
  - current_repodata.json
  - repodata.json
repodata_threads: None
report_errors: None
restore_free_channel: False
rollback_enabled: True
root_prefix: C:\Users\marci\anaconda3
safety_checks: warn
sat_solver: pycosat
separate_format_cache: False
shortcuts: True
show_channel_urls: None
signing_metadata_url_base: None
solver_ignore_timestamps: False
ssl_verify: True
subdir: win-64
subdirs:
  - win-64
  - noarch
target_prefix_override:
track_features: []
unsatisfiable_hints: True
unsatisfiable_hints_check_depth: 2
update_modifier: update_specs
use_index_cache: False
use_local: False
use_only_tar_bz2: False
verbosity: 0
verify_threads: 1
whitelist_channels: []

(base) C:\Users\marci>

and here are the results for the tensorflow env i created per your instructions above:

Microsoft Windows [Version 10.0.19043.1706]
(c) Microsoft Corporation. All rights reserved.

(tensorflow) C:\Users\marci>Conda config --show
add_anaconda_token: True
add_pip_as_python_dependency: True
aggressive_update_packages:
  - ca-certificates
  - certifi
  - openssl
allow_conda_downgrades: False
allow_cycles: True
allow_non_channel_urls: False
allow_softlinks: False
always_copy: False
always_softlink: False
always_yes: None
anaconda_upload: None
auto_activate_base: True
auto_stack: 0
auto_update_conda: True
bld_path:
changeps1: True
channel_alias: https://conda.anaconda.org
channel_priority: flexible
channels:
  - defaults
client_ssl_cert: None
client_ssl_cert_key: None
clobber: False
conda_build: {}
create_default_packages: []
croot: C:\Users\marci\anaconda3\conda-bld
custom_channels:
  pkgs/main: https://repo.anaconda.com
  pkgs/r: https://repo.anaconda.com
  pkgs/msys2: https://repo.anaconda.com
  pkgs/pro: https://repo.anaconda.com
custom_multichannels:
  defaults:
    - https://repo.anaconda.com/pkgs/main
    - https://repo.anaconda.com/pkgs/r
    - https://repo.anaconda.com/pkgs/msys2
  local:
debug: False
default_channels:
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
  - https://repo.anaconda.com/pkgs/msys2
default_python: 3.9
default_threads: None
deps_modifier: not_set
dev: False
disallowed_packages: []
download_only: False
dry_run: False
enable_private_envs: False
env_prompt: ({default_env})
envs_dirs:
  - C:\Users\marci\anaconda3\envs
  - C:\Users\marci\.conda\envs
  - C:\Users\marci\AppData\Local\conda\conda\envs
error_upload_url: https://conda.io/conda-post/unexpected-error
execute_threads: 1
experimental_solver: classic
extra_safety_checks: False
force: False
force_32bit: False
force_reinstall: False
force_remove: False
ignore_pinned: False
json: False
local_repodata_ttl: 1
migrated_channel_aliases: []
migrated_custom_channels: {}
non_admin_enabled: True
notify_outdated_conda: True
offline: False
override_channels_enabled: True
path_conflict: clobber
pinned_packages: []
pip_interop_enabled: False
pkgs_dirs:
  - C:\Users\marci\anaconda3\pkgs
  - C:\Users\marci\.conda\pkgs
  - C:\Users\marci\AppData\Local\conda\conda\pkgs
proxy_servers: {}
quiet: False
remote_backoff_factor: 1
remote_connect_timeout_secs: 9.15
remote_max_retries: 3
remote_read_timeout_secs: 60.0
repodata_fns:
  - current_repodata.json
  - repodata.json
repodata_threads: None
report_errors: None
restore_free_channel: False
rollback_enabled: True
root_prefix: C:\Users\marci\anaconda3
safety_checks: warn
sat_solver: pycosat
separate_format_cache: False
shortcuts: True
show_channel_urls: None
signing_metadata_url_base: None
solver_ignore_timestamps: False
ssl_verify: True
subdir: win-64
subdirs:
  - win-64
  - noarch
target_prefix_override:
track_features: []
unsatisfiable_hints: True
unsatisfiable_hints_check_depth: 2
update_modifier: update_specs
use_index_cache: False
use_local: False
use_only_tar_bz2: False
verbosity: 0
verify_threads: 1
whitelist_channels: []

(tensorflow) C:\Users\marci>

from ktsh.tanka.2020 to quique123

I understand the cause. The following settings do not exist in your Anaconda.

default_channels:
โ€“main
โ€“https://repo.anaconda.com/pkgs/r

If this setting does not exist, the โ€œconda install ***โ€ command will not work.

You must run โ€œconda repo config --set auto_register yesโ€ for this setting to take effect.

Because โ€œdefault_channels:โ€ contains the location of Anacodaโ€™s updated files and the locations of files that can be added.

For more information, check out the following sites:
https://docs.conda.io/projects/conda/en/latest/index.html

By the way, as for the answer to the channel question, Anaconda manages packages in a repository different from Python.
Of course, in the case of the same thing, it is the same as the repository that picks up the installation file with โ€œpip installโ€.
Besides that, packages such as Python and R may have a repository for each developer. Contains the first URL to search for it (in JSON file format).

Regards, you.
ktsh.tanaka.2020

ok i ran your repo code and i think i get the same results for config show. I didnt get any errors when running the repo code:

Microsoft Windows [Version 10.0.19043.1706]
(c) Microsoft Corporation. All rights reserved.

(base) C:\Users\marci>Conda config --show
add_anaconda_token: True
add_pip_as_python_dependency: True
aggressive_update_packages:
  - ca-certificates
  - certifi
  - openssl
allow_conda_downgrades: False
allow_cycles: True
allow_non_channel_urls: False
allow_softlinks: False
always_copy: False
always_softlink: False
always_yes: None
anaconda_upload: None
auto_activate_base: True
auto_stack: 0
auto_update_conda: True
bld_path:
changeps1: True
channel_alias: https://conda.anaconda.org
channel_priority: flexible
channels:
  - defaults
client_ssl_cert: None
client_ssl_cert_key: None
clobber: False
conda_build: {}
create_default_packages: []
croot: C:\Users\marci\anaconda3\conda-bld
custom_channels:
  pkgs/main: https://repo.anaconda.com
  pkgs/r: https://repo.anaconda.com
  pkgs/msys2: https://repo.anaconda.com
  pkgs/pro: https://repo.anaconda.com
custom_multichannels:
  defaults:
    - https://repo.anaconda.com/pkgs/main
    - https://repo.anaconda.com/pkgs/r
    - https://repo.anaconda.com/pkgs/msys2
  local:
debug: False
default_channels:
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
  - https://repo.anaconda.com/pkgs/msys2
default_python: 3.9
default_threads: None
deps_modifier: not_set
dev: False
disallowed_packages: []
download_only: False
dry_run: False
enable_private_envs: False
env_prompt: ({default_env})
envs_dirs:
  - C:\Users\marci\anaconda3\envs
  - C:\Users\marci\.conda\envs
  - C:\Users\marci\AppData\Local\conda\conda\envs
error_upload_url: https://conda.io/conda-post/unexpected-error
execute_threads: 1
experimental_solver: classic
extra_safety_checks: False
force: False
force_32bit: False
force_reinstall: False
force_remove: False
ignore_pinned: False
json: False
local_repodata_ttl: 1
migrated_channel_aliases: []
migrated_custom_channels: {}
non_admin_enabled: True
notify_outdated_conda: True
offline: False
override_channels_enabled: True
path_conflict: clobber
pinned_packages: []
pip_interop_enabled: False
pkgs_dirs:
  - C:\Users\marci\anaconda3\pkgs
  - C:\Users\marci\.conda\pkgs
  - C:\Users\marci\AppData\Local\conda\conda\pkgs
proxy_servers: {}
quiet: False
remote_backoff_factor: 1
remote_connect_timeout_secs: 9.15
remote_max_retries: 3
remote_read_timeout_secs: 60.0
repodata_fns:
  - current_repodata.json
  - repodata.json
repodata_threads: None
report_errors: None
restore_free_channel: False
rollback_enabled: True
root_prefix: C:\Users\marci\anaconda3
safety_checks: warn
sat_solver: pycosat
separate_format_cache: False
shortcuts: True
show_channel_urls: None
signing_metadata_url_base: None
solver_ignore_timestamps: False
ssl_verify: True
subdir: win-64
subdirs:
  - win-64
  - noarch
target_prefix_override:
track_features: []
unsatisfiable_hints: True
unsatisfiable_hints_check_depth: 2
update_modifier: update_specs
use_index_cache: False
use_local: False
use_only_tar_bz2: False
verbosity: 0
verify_threads: 1
whitelist_channels: []

(base) C:\Users\marci>

Ok i ran the command and got these errors, so its still not letting me install:

I had to remove a bunch in order to postโ€ฆill upload a separate fileโ€”cant upload text files:

Package decorator conflicts for:
jupyterlab -> ipython -> decorator
widgetsnbextension -> traitlets[version='>=4.3.1'] -> decorator
jupyter_core -> traitlets -> decorator
ipykernel -> ipython[version='>=7.23.1'] -> decorator
jupyter_server -> traitlets[version='>=4.2.1'] -> decorator
matplotlib-inline -> traitlets -> decorator
traitlets -> decorator
jupyter_console -> ipython -> decorator
nbformat -> traitlets[version='>=4.1'] -> decorator
jupyter_client -> traitlets -> decorator
holoviews -> ipython[version='>=5.4.0'] -> decorator
spyder -> ipython[version='>=7.31.1,<8.0.0'] -> decorator[version='<5']
nbclient -> traitlets[version='>=4.2'] -> decorator
anaconda==2022.05 -> decorator==5.1.1=pyhd3eb1b0_0
networkx -> decorator[version='>=3.4.0|>=4.3.0|>=4.3.0,<5|>=4.1.0']
qtconsole -> traitlets -> decorator
scikit-image -> networkx[version='>=2.2'] -> decorator[version='>=3.4.0|>=4.3.0|>=4.3.0,<5|>=4.1.0']
anaconda==2022.05 -> ipython==7.31.1=py37haa95532_0 -> decorator
notebook -> traitlets[version='>=4.2.1'] -> decorator
ipython -> decorator
nbconvert -> traitlets[version='>=4.2'] -> decorator
spyder-kernels -> decorator[version='<5']
spyder-kernels -> ipython[version='>=7.31.1,<8.0.0'] -> decorator
plotly -> decorator[version='>=4.0.6']


Package fsspec conflicts for:
intake -> fsspec[version='>=0.6.0|>=0.7.4|>=2021.7.0']
anaconda==2022.05 -> dask-core==2021.10.0=pyhd3eb1b0_0 -> fsspec[version='>=0.6.0|>=2021.7.0']
datashader -> dask[version='>=0.18.0'] -> fsspec[version='>=0.4.0|>=0.5.1|>=0.6.0']
dask-core -> fsspec[version='>=0.6.0']
scikit-image -> dask-core[version='>=1.0.0,!=2.17.0'] -> fsspec[version='>=0.4.0|>=0.5.1|>=0.6.0']
distributed -> dask-core=2022.5.2 -> fsspec[version='2021.04.0|2021.05.0|2021.06.0|2021.06.1|2021.10.0|2021.10.1|2021.11.0|2021.11.1|2022.1.0|2022.2.0|2022.3.0|2022.5.0|>=0.4.0|>=0.5.1|>=0.6.0|2021.9.0|2021.8.1|2021.7.0|>=0.9.0|>=0.8.0|2022.1.0.*|2021.7.0.*|2021.6.0.*']
anaconda==2022.05 -> fsspec==2022.2.0=pyhd3eb1b0_0
dask -> fsspec[version='>=0.4.0|>=0.5.1|>=0.6.0']
xarray -> dask[version='>=0.9'] -> fsspec[version='>=0.4.0|>=0.5.1|>=0.6.0']
intake -> dask[version='>=1.0'] -> fsspec[version='>=0.4.0|>=0.5.1']

Package immutables conflicts for:
distributed -> contextvars -> immutables[version='0.5|0.6|>=0.9']
sniffio -> contextvars[version='>=2.1'] -> immutables[version='0.5|0.6|>=0.9']
Note that strict channel priority may have removed packages required for satisfiability.


(base) C:\Users\marci>