conda install -c intel intel-aikit-modin hangs

[bevin_b_]

After working around the previously reported problems by installing Anaconda3-2020.02-Windows-x86_64.exe, I now run into another problem...

The instructions for installing the intel-aikit-modin lead directly into conda reporting conflicts, and taking so long (>30 mins) I think it is stuck

(base) C:\Users\dev>conda install -c intel intel-aikit-modin
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.
Examining sympy: 1%|▍ | 2/301 [00:00<00:46, 6.40it/s]/Examining nbformat: 1%|▊ | 4/301 [00:01<02:06, 2.35it/s]\Examining six: 2%|█▌ | 7/301 [00:08<09:45, 1.99s/it]\Examining tbb: 7%|████▊ | 22/301 [01:11<05:32, 1.19s/it]\Examining sqlalchemy: 10%|█████▉ | 30/301 [01:18<04:49, 1.07s/it]-Examining sphinxcontrib-htmlhelp: 12%|█████▊ | 37/301 [01:25<03:45, 1.17it/s]/Examining scipy: 13%|████████ | 38/301 [01:25<04:48, 1.10s/it]-Examining glob2: 14%|████████▋ | 41/301 [01:33<08:42, 2.01s/it]\Examining matplotlib-base: 16%|████████▊ | 49/301 [01:41<05:35, 1.33s/it]/Examining jupyter: 20%|████████████▎ | 60/301 [01:52<02:57, 1.36it/s]-Examining numpy: 25%|███████████████▉ | 75/301 [02:07<04:51, 1.29s/it]|Examining pep8: 26%|████████████████▋ | 77/301 [02:19<12:27, 3.34s/it]/Examining liblief: 28%|█████████████████▎ | 84/301 [02:50<19:10, 5.30s/it]/Examining pickleshare: 30%|█████████████████▏ | 89/301 [02:54<10:59, 3.11s/it]-Examining m2w64-gcc-libs-core: 30%|██████████████▊ | 89/301 [02:55<10:59, 3.11s/it]\Examining ipython_genutils: 37%|███████████████████▎ | 112/301 [03:34<03:19, 1.05s/it]|Examining pkginfo: 38%|██████████████████████▉ | 113/301 [03:35<03:18, 1.05s/it]-Examining nltk: 39%|████████████████████████▉ | 117/301 [03:36<01:53, 1.61it/s]|Examining zstd: 41%|██████████████████████████▏ | 123/301 [03:38<01:19, 2.24it/s]-Examining pexpect: 42%|█████████████████████████▋ | 127/301 [03:47<07:09, 2.47s/it]|Examining pycurl: 44%|██████████████████████████▉ | 131/301 [03:48<02:39, 1.06it/s]|Examining openpyxl: 46%|███████████████████████████▋ | 139/301 [04:20<14:49, 5.49s/it]/Examining pytables: 48%|████████████████████████████▋ | 144/301 [04:22<04:12, 1.61s/it]|Examining bokeh: 48%|██████████████████████████████▎ | 145/301 [04:27<03:01, 1.16s/it]|Examining sphinxcontrib-jsmath: 52%|████████████████████████▉ | 156/301 [04:50<03:40, 1.52s/it]-Examining krb5: 54%|██████████████████████████████████▍ | 162/301 [04:58<04:40, 2.02s/it]\Examining kiwisolver: 54%|███████████████████████████████▌ | 164/301 [04:58<03:16, 1.44s/it]|Examining toolz: 54%|██████████████████████████████████▎ | 164/301 [04:59<03:16, 1.44s/it]-Examining paramiko: 56%|█████████████████████████████████▍ | 168/301 [04:59<01:20, 1.66it/s]|Examining certifi: 56%|██████████████████████████████████ | 168/301 [05:00<01:20, 1.66it/s]/Examining bkcharts: 59%|███████████████████████████████████▎ | 177/301 [05:11<03:04, 1.49s/it]\Examining comtypes: 62%|█████████████████████████████████████▎ | 187/301 [05:21<03:35, 1.89s/it]\Examining pycosat: 62%|██████████████████████████████████████ | 188/301 [05:21<02:34, 1.36s/it]|Examining cloudpickle: 64%|████████████████████████████████████▎ | 192/301 [05:22<01:04, 1.70it/s]|Examining intervaltree: 64%|███████████████████████████████████▋ | 192/301 [05:22<01:04, 1.70it/s]\Examining pyqt: 64%|█████████████████████████████████████████ | 193/301 [05:23<01:00, 1.78it/s]|Examining mistune: 67%|████████████████████████████████████████▋ | 201/301 [05:28<01:20, 1.24it/s]\Examining html5lib: 67%|████████████████████████████████████████▎ | 202/301 [05:28<01:00, 1.64it/s]|Examining libxml2: 68%|█████████████████████████████████████████▎ | 204/301 [05:31<01:58, 1.22s/it]-Examining numba: 73%|█████████████████████████████████████████████▊ | 219/301 [05:49<00:56, 1.45it/s]\Examining pytz: 75%|████████████████████████████████████████████████ | 226/301 [06:00<01:26, 1.16s/it]\Examining heapdict: 78%|██████████████████████████████████████████████▋ | 234/301 [06:19<02:56, 2.64s/it]|Examining qtpy: 79%|██████████████████████████████████████████████████▊ | 239/301 [06:22<01:27, 1.41s/it]\Examining path: 82%|████████████████████████████████████████████████████▌ | 247/301 [06:23<00:28, 1.91it/s]\Examining beautifulsoup4: 86%|██████████████████████████████████████████████▍ | 259/301 [06:37<01:53, 2.70s/it]/Examining backports.shutil_get_terminal_size: 86%|█████████████████████████████▎ | 260/301 [06:38<01:27, 2.13s/it]|Examining pytest-astropy-header: 87%|█████████████████████████████████████████ | 263/301 [06:38<00:44, 1.17s/it]|Examining diff-match-patch: 88%|█████████████████████████████████████████████▉ | 266/301 [06:41<00:31, 1.11it/s]-Examining blas: 89%|████████████████████████████████████████████████████████▉ | 268/301 [06:41<00:22, 1.50it/s]|Examining pandas: 90%|███████████████████████████████████████████████████████▌ | 270/301 [06:42<00:20, 1.50it/s]|Examining conda-package-handling: 91%|█████████████████████████████████████████▋ | 273/301 [07:02<02:10, 4.67s/it]|Examining ipywidgets: 91%|████████████████████████████████████████████████████▊ | 274/301 [07:04<02:06, 4.67s/it]|Examining sphinxcontrib: 93%|██████████████████████████████████████████████████▉ | 279/301 [07:15<00:49, 2.26s/it]|Examining scikit-learn: 93%|████████████████████████████████████████████████████▎ | 281/301 [07:15<00:45, 2.26s/it]\Examining conflict for patsy krb5 pyodbc alabaster sympy pywin32 kiwisolver backports.tempfile nbformat toolz cryptogra\Examining conflict for patsy krb5 pyodbc alabaster sympy pywin32 kiwisolver backports.tempfile nbformat toolz cryptog-

[bevin_b_]

For others who are stuck here, the following appears to have worked

From https://repo.anaconda.com/miniconda/ download Miniconda3-py37_23.1.0-1-Windows-x86_64.exe

Install for just me
Into C:\Users\dev\miniconda3
Not creating shortcuts
Not registering as 3.7
Not adding to PATH

Using CMD.EXE>   C:\Users\dev\miniconda3\Scripts\activate.bat
Using CMD.EXE>  python --version
Python 3.7.16

Using CMD.EXE>  conda install -c intel intel-aikit-modin

This asked about a lot of packages to download and install - I agreed
Then it all appeared to work but I haven't tried anything yet - on to the next adventure

[ArpanB_Intel]

Hi Bevin, please share the below information with us:

- OS build on which you are installing the software

- Is the installer an online or an offline package?

- Version of Microsoft Visual Studio installed along with it's build version

- Other versions of Intel® Parallel Studio XE or Intel® oneAPI already installed on the system

- Screenshots of the error screen

- Installation Log files.

The default path for a log file for a oneAPI installation is: C:\Program Files (x86)\Intel\oneAPI\logs

We would like to know.

[bevin_b_]

Windows 10 64 pro

There is only the online installer for this

There was no VS or OneAPI installed on the system
The screenshot is above
There are no log files

Clearly your above reply is a boilerplate one, given without understanding the issue at all - thereby wasting my time and yours

[ArpanB_Intel]

Bevin, we see that you have created a similar thread: https://community.intel.com/t5/oneAPI-Registration-Download/Latest-analytics-toolkit-needs-Python-3-7-Anaconda-s-currently-P/m-p/1486456#M5094, on this issue. Going forwards, we will continue our support on that thread and close this thread as a duplicate.

If you have any further queries, please post a new question as this thread will no longer be monitored by Intel®.