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Installation did not complete. #14

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hkoda opened this issue Dec 3, 2021 · 6 comments
Closed

Installation did not complete. #14

hkoda opened this issue Dec 3, 2021 · 6 comments

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@hkoda
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hkoda commented Dec 3, 2021

Hi, I am trying to install DAS (Ideally, no-gui mode in ubuntu-gpu sever), but I could not complete it.
Thinking that the Linux server was the cause, I tried to install it on conda environment of my Mac as well, but the installation did not complete in the same way. Here is the status report.

  1. issues on Linux server
    OS: Ubuntu 20.04.2 LTS (GNU/Linux 5.4.0-91-generic x86_64)
    GPU: NVIDIA-SMI 470.86 Driver Version: 470.86 CUDA Version: 11.4

First, I made a docker container including tensor flow with gpu, by using Nvidia's official container (nvcr.io/nvidia/tensorflow 21.10-tf2-py3). Then, I ran the containter and built the anaconda environment at the /workspace location (docker host location) , by

  • wget https://repo.anaconda.com/archive/Anaconda3-2021.11-Linux-x86_64.sh
  • bash Anaconda3-2021.11-Linux-x86_64.sh
    anaconda3 directory was placed under /workspace
    After installation, I activate base environment by running source /.bashrc -- it seems that I made conda environment at container.
    Then, I ran conda env create ncb/das-nogui-env -n das, but it was not competely proceeded like
% conda env create ncb/das-env -n das
Collecting package metadata (repodata.json): done
Solving environment: \

After solving environment: \, it does not proceed at all.

  1. issues on Mac
    OS: macOS 0.15.7（19H1519）
    CPU: Intel Core i9

conda info

conda info

     active environment : base
    active env location : /Users/XXX/.pyenv/versions/anaconda3-2021.05
            shell level : 1
       user config file : /Users/XXXXX/.condarc
 populated config files : 
          conda version : 4.10.3
    conda-build version : 3.21.4
         python version : 3.8.8.final.0
       virtual packages : __osx=10.15.7=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /Users/XXXXXX/.pyenv/versions/anaconda3-2021.05  (writable)
      conda av data dir : /Users/XXXXXX/.pyenv/versions/anaconda3-2021.05/etc/conda
  conda av metadata url : None
           channel URLs : https://repo.anaconda.com/pkgs/main/osx-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/osx-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /Users/XXXXXX/.pyenv/versions/anaconda3-2021.05/pkgs
                          /Users/XXXXXXXX/.conda/pkgs
       envs directories : /Users/XXXXXXX/.pyenv/versions/anaconda3-2021.05/envs
                          /Users/XXXXXXXX/.conda/envs
               platform : osx-64
             user-agent : conda/4.10.3 requests/2.26.0 CPython/3.8.8 Darwin/19.6.0 OSX/10.15.7
                UID:GID : 501:20
             netrc file : None
           offline mode : False

I thought the error might be in the ubuntu server or the docker configuration, so I tried to confirm the installation in my conda environment (my anaconda was installed via pyenv). I ran conda env create ncb/das-env -n das, but it was completely same like the ubuntu server:

conda env create ncb/das-env -n das
Collecting package metadata (repodata.json): done
Solving environment: \

I really needs your help and advice!
K
@postpop
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postpop commented Dec 3, 2021

Hi,

conda is very slow - I just tested it on my mac here and the installation took 20 minutes! So maybe wait a little longer?

Just to be safe, maybe test whether there is an issue with your conda installation, by creating a test env with fewer packages. Run the following command: conda env create -n test_env python=3.8 numpy. This will create a new environment called test_env and install python and numpy into it). This took less than a minute.

@postpop
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postpop commented Dec 3, 2021

If it's not your conda installation, you could use mamba, which is a drop-in replacement for conda, but is much much faster.

  1. Install mamba via conda install mamba -n base -c conda-forge.
  2. Install DAS using mamba mamba env create ncb/das-env -n das.

Install finished in less than 3 minutes.

@hkoda
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hkoda commented Dec 4, 2021

Thanks!

conda is very slow - I just tested it on my mac here and the installation took 20 minutes! So maybe wait a little longer?

Now, I am trying to run conda env create ncb/das-nogui-env -n das on Ubuntu sever, and I will report if I can do or not later. I confirmed that I could made the sample conda env by running conda create -n test python=3.9 in advance.

@hkoda
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hkoda commented Dec 4, 2021

I've done! das_installation.log was the log file. This process in my Ubuntu server with docker container took 30 min.

Thanks!

# cat das_installation.log 
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... done

Downloading and Extracting Packages
yarl-1.6.3           | 136 KB    | ########## | 100% 
qt-5.12.9            | 99.5 MB   | ########## | 100% 
traitlets-5.1.1      | 84 KB     | ########## | 100% 
_tflow_select-2.3.0  | 2 KB      | ########## | 100% 
gnutls-3.6.15        | 1.0 MB    | ########## | 100% 
opt_einsum-3.3.0     | 57 KB     | ########## | 100% 
astunparse-1.6.3     | 17 KB     | ########## | 100% 
gst-plugins-base-1.1 | 2.6 MB    | ########## | 100% 
packaging-21.3       | 36 KB     | ########## | 100% 
tensorboard-data-ser | 2.7 MB    | ########## | 100% 
llvmlite-0.36.0      | 393 KB    | ########## | 100% 
typing_inspect-0.7.1 | 15 KB     | ########## | 100% 
python-flatbuffers-1 | 24 KB     | ########## | 100% 
ffmpeg-4.2.2         | 59.6 MB   | ########## | 100% 
lame-3.100           | 323 KB    | ########## | 100% 
perl-5.26.2          | 10.5 MB   | ########## | 100% 
libunistring-0.9.10  | 536 KB    | ########## | 100% 
pyqt5-sip-4.19.18    | 310 KB    | ########## | 100% 
pysoundfile-0.10.3.p | 23 KB     | ########## | 100% 
cycler-0.11.0        | 12 KB     | ########## | 100% 
matplotlib-scalebar- | 19 KB     | ########## | 100% 
scikit-learn-1.0.1   | 5.6 MB    | ########## | 100% 
frozenlist-1.2.0     | 79 KB     | ########## | 100% 
absl-py-0.13.0       | 178 KB    | ########## | 100% 
flammkuchen-0.9.2    | 18 KB     | ########## | 100% 
aiohttp-3.8.1        | 516 KB    | ########## | 100% 
wheel-0.35.1         | 38 KB     | ########## | 100% 
nspr-4.30            | 233 KB    | ########## | 100% 
tbb-2020.3           | 1.1 MB    | ########## | 100% 
libflac-1.3.3        | 486 KB    | ########## | 100% 
flatbuffers-2.0.0    | 975 KB    | ########## | 100% 
libvpx-1.7.0         | 1.2 MB    | ########## | 100% 
defopt-6.1.0         | 17 KB     | ########## | 100% 
libevent-2.1.10      | 1.1 MB    | ########## | 100% 
nettle-3.7.3         | 809 KB    | ########## | 100% 
google-auth-1.33.0   | 80 KB     | ########## | 100% 
matplotlib-base-3.5. | 5.7 MB    | ########## | 100% 
gettext-0.21.0       | 2.6 MB    | ########## | 100% 
glib-2.68.2          | 3.0 MB    | ########## | 100% 
aiosignal-1.2.0      | 12 KB     | ########## | 100% 
python_abi-3.9       | 4 KB      | ########## | 100% 
libxkbcommon-1.0.3   | 581 KB    | ########## | 100% 
mysql-common-8.0.25  | 1.5 MB    | ########## | 100% 
asciitree-0.3.3      | 10 KB     | ########## | 100% 
abseil-cpp-20210324. | 965 KB    | ########## | 100% 
tensorflow-base-2.6. | 76.7 MB   | ########## | 100% 
param-1.12.0         | 75 KB     | ########## | 100% 
keras-preprocessing- | 35 KB     | ########## | 100% 
tensorflow-estimator | 267 KB    | ########## | 100% 
pooch-1.4.0          | 41 KB     | ########## | 100% 
libnghttp2-1.46.0    | 680 KB    | ########## | 100% 
protobuf-3.14.0      | 306 KB    | ########## | 100% 
librosa-0.8.1        | 147 KB    | ########## | 100% 
libxml2-2.9.12       | 772 KB    | ########## | 100% 
pyqt-5.12.3          | 21 KB     | ########## | 100% 
libsndfile-1.0.31    | 602 KB    | ########## | 100% 
async-timeout-4.0.1  | 10 KB     | ########## | 100% 
libiconv-1.16        | 1.4 MB    | ########## | 100% 
google-pasta-0.2.0   | 46 KB     | ########## | 100% 
requests-oauthlib-1. | 23 KB     | ########## | 100% 
libopus-1.3.1        | 491 KB    | ########## | 100% 
gstreamer-1.18.4     | 2.0 MB    | ########## | 100% 
libllvm10-10.0.1     | 22.1 MB   | ########## | 100% 
tensorboard-plugin-w | 630 KB    | ########## | 100% 
xarray-0.19.0        | 557 KB    | ########## | 100% 
libglib-2.68.2       | 3.1 MB    | ########## | 100% 
gast-0.4.0           | 13 KB     | ########## | 100% 
zarr-2.8.1           | 106 KB    | ########## | 100% 
nss-3.67             | 2.1 MB    | ########## | 100% 
libvorbis-1.3.7      | 398 KB    | ########## | 100% 
tensorboard-2.6.0    | 4.9 MB    | ########## | 100% 
pcre2-10.35          | 487 KB    | ########## | 100% 
audioread-2.1.9      | 33 KB     | ########## | 100% 
numcodecs-0.8.0      | 658 KB    | ########## | 100% 
numba-0.53.1         | 3.3 MB    | ########## | 100% 
icu-68.1             | 11.8 MB   | ########## | 100% 
pycparser-2.21       | 94 KB     | ########## | 100% 
x264-1!157.20191217  | 922 KB    | ########## | 100% 
wrapt-1.13.3         | 52 KB     | ########## | 100% 
cachetools-4.2.2     | 13 KB     | ########## | 100% 
multidict-5.1.0      | 69 KB     | ########## | 100% 
libclang-11.1.0      | 19.2 MB   | ########## | 100% 
rsa-4.7.2            | 28 KB     | ########## | 100% 
sphinxcontrib-napole | 19 KB     | ########## | 100% 
keras-tuner-1.0.3    | 58 KB     | ########## | 100% 
libogg-1.3.5         | 199 KB    | ########## | 100% 
libidn2-2.3.2        | 81 KB     | ########## | 100% 
pockets-0.9.1        | 24 KB     | ########## | 100% 
freetype-2.11.0      | 618 KB    | ########## | 100% 
termcolor-1.1.0      | 9 KB      | ########## | 100% 
terminaltables-3.1.0 | 13 KB     | ########## | 100% 
openh264-2.1.0       | 722 KB    | ########## | 100% 
numpy-base-1.21.2    | 4.9 MB    | ########## | 100% 
resampy-0.2.2        | 332 KB    | ########## | 100% 
pyasn1-0.4.8         | 54 KB     | ########## | 100% 
pyqtwebengine-5.12.1 | 174 KB    | ########## | 100% 
h5py-3.6.0           | 1.1 MB    | ########## | 100% 
matplotlib-3.5.0     | 28 KB     | ########## | 100% 
blinker-1.4          | 23 KB     | ########## | 100% 
fasteners-0.16.3     | 24 KB     | ########## | 100% 
google-auth-oauthlib | 20 KB     | ########## | 100% 
pyasn1-modules-0.2.8 | 72 KB     | ########## | 100% 
alsa-lib-1.2.3       | 560 KB    | ########## | 100% 
git-2.32.0           | 5.9 MB    | ########## | 100% 
markdown-3.3.4       | 129 KB    | ########## | 100% 
colorcet-2.0.6       | 1.4 MB    | ########## | 100% 
docutils-0.18.1      | 663 KB    | ########## | 100% 
grpcio-1.42.0        | 2.1 MB    | ########## | 100% 
typing-extensions-3. | 12 KB     | ########## | 100% 
pyct-0.4.6           | 24 KB     | ########## | 100% 
astor-0.8.1          | 47 KB     | ########## | 100% 
libtasn1-4.16.0      | 58 KB     | ########## | 100% 
libprotobuf-3.14.0   | 2.0 MB    | ########## | 100% 
pyqt-impl-5.12.3     | 5.9 MB    | ########## | 100% 
pyqtchart-5.12       | 253 KB    | ########## | 100% 
numpy-1.21.2         | 23 KB     | ########## | 100% 
ncurses-6.3          | 782 KB    | ########## | 100% 
idna-3.3             | 49 KB     | ########## | 100% 
peakutils-1.3.3      | 10 KB     | ########## | 100% 
tabulate-0.8.9       | 40 KB     | ########## | 100% 
libpq-13.3           | 2.7 MB    | ########## | 100% 
tensorflow-2.6.0     | 4 KB      | ########## | 100% 
oauthlib-3.1.1       | 90 KB     | ########## | 100% 
mysql-libs-8.0.25    | 1.8 MB    | ########## | 100% 
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... 

    Installed package of scikit-learn can be accelerated using scikit-learn-intelex.
    More details are available here: https://intel.github.io/scikit-learn-intelex

    For example:

        $ conda install scikit-learn-intelex
        $ python -m sklearnex my_application.py

    

done
Installing pip dependencies: ...working... Ran pip subprocess with arguments:
['/workspace/anaconda3/envs/das/bin/python', '-m', 'pip', 'install', '-U', '-r', '/workspace/condaenv.9qb1bzyo.requirements.txt']
Pip subprocess output:
Collecting das
  Downloading das-0.22.8-py3-none-any.whl (85 kB)
Collecting pysoundfile
  Downloading PySoundFile-0.9.0.post1-py2.py3-none-any.whl (24 kB)
Requirement already satisfied: zarr in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.8.1)
Requirement already satisfied: defopt in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (6.1.0)
Requirement already satisfied: matplotlib_scalebar in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.8.0)
Requirement already satisfied: pyyaml in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (6.0)
Requirement already satisfied: librosa in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.8.1)
Requirement already satisfied: pandas in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.3.4)
Requirement already satisfied: colorcet in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.0.6)
Requirement already satisfied: keras-tuner in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.0.3)
Requirement already satisfied: scikit-learn in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.0.1)
Requirement already satisfied: peakutils in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.3.3)
Requirement already satisfied: numpy in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.21.2)
Requirement already satisfied: h5py in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (3.6.0)
Requirement already satisfied: scipy in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.7.1)
Requirement already satisfied: matplotlib in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (3.5.0)
Requirement already satisfied: flammkuchen in ./anaconda3/envs/das/lib/python3.9/site-packages (from das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.9.2)
Requirement already satisfied: cffi>=0.6 in ./anaconda3/envs/das/lib/python3.9/site-packages (from pysoundfile->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 2)) (1.14.6)
Requirement already satisfied: pycparser in ./anaconda3/envs/das/lib/python3.9/site-packages (from cffi>=0.6->pysoundfile->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 2)) (2.21)
Requirement already satisfied: param>=1.7.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from colorcet->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.12.0)
Requirement already satisfied: pyct>=0.4.4 in ./anaconda3/envs/das/lib/python3.9/site-packages (from colorcet->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.4.6)
Requirement already satisfied: docutils>=0.10 in ./anaconda3/envs/das/lib/python3.9/site-packages (from defopt->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.18.1)
Requirement already satisfied: sphinxcontrib-napoleon>=0.7.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from defopt->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.7)
Requirement already satisfied: pockets>=0.3 in ./anaconda3/envs/das/lib/python3.9/site-packages (from sphinxcontrib-napoleon>=0.7.0->defopt->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.9.1)
Requirement already satisfied: six>=1.5.2 in ./anaconda3/envs/das/lib/python3.9/site-packages (from sphinxcontrib-napoleon>=0.7.0->defopt->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.16.0)
Requirement already satisfied: tables in ./anaconda3/envs/das/lib/python3.9/site-packages (from flammkuchen->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (3.6.1)
Collecting kt-legacy
  Downloading kt_legacy-1.0.4-py3-none-any.whl (9.6 kB)
Requirement already satisfied: ipython in ./anaconda3/envs/das/lib/python3.9/site-packages (from keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (7.29.0)
Requirement already satisfied: requests in ./anaconda3/envs/das/lib/python3.9/site-packages (from keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.26.0)
Requirement already satisfied: packaging in ./anaconda3/envs/das/lib/python3.9/site-packages (from keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (21.3)
Requirement already satisfied: tensorboard in ./anaconda3/envs/das/lib/python3.9/site-packages (from keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.6.0)
Requirement already satisfied: backcall in ./anaconda3/envs/das/lib/python3.9/site-packages (from ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.2.0)
Requirement already satisfied: setuptools>=18.5 in ./anaconda3/envs/das/lib/python3.9/site-packages (from ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (58.0.4)
Requirement already satisfied: pexpect>4.3 in ./anaconda3/envs/das/lib/python3.9/site-packages (from ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (4.8.0)
Requirement already satisfied: traitlets>=4.2 in ./anaconda3/envs/das/lib/python3.9/site-packages (from ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (5.1.1)
Requirement already satisfied: pickleshare in ./anaconda3/envs/das/lib/python3.9/site-packages (from ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.7.5)
Requirement already satisfied: pygments in ./anaconda3/envs/das/lib/python3.9/site-packages (from ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.10.0)
Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (3.0.20)
Requirement already satisfied: decorator in ./anaconda3/envs/das/lib/python3.9/site-packages (from ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (5.1.0)
Requirement already satisfied: jedi>=0.16 in ./anaconda3/envs/das/lib/python3.9/site-packages (from ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.18.0)
Requirement already satisfied: matplotlib-inline in ./anaconda3/envs/das/lib/python3.9/site-packages (from ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.1.2)
Requirement already satisfied: parso<0.9.0,>=0.8.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from jedi>=0.16->ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.8.2)
Requirement already satisfied: ptyprocess>=0.5 in ./anaconda3/envs/das/lib/python3.9/site-packages (from pexpect>4.3->ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.7.0)
Requirement already satisfied: wcwidth in ./anaconda3/envs/das/lib/python3.9/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.2.5)
Requirement already satisfied: pooch>=1.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from librosa->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.4.0)
Requirement already satisfied: numba>=0.43.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from librosa->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.53.1)
Requirement already satisfied: audioread>=2.0.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from librosa->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.1.9)
Requirement already satisfied: resampy>=0.2.2 in ./anaconda3/envs/das/lib/python3.9/site-packages (from librosa->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.2.2)
Requirement already satisfied: soundfile>=0.10.2 in ./anaconda3/envs/das/lib/python3.9/site-packages (from librosa->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.10.3.post1)
Requirement already satisfied: joblib>=0.14 in ./anaconda3/envs/das/lib/python3.9/site-packages (from librosa->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.1.0)
Requirement already satisfied: llvmlite<0.37,>=0.36.0rc1 in ./anaconda3/envs/das/lib/python3.9/site-packages (from numba>=0.43.0->librosa->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.36.0)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in ./anaconda3/envs/das/lib/python3.9/site-packages (from packaging->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (3.0.4)
Requirement already satisfied: appdirs in ./anaconda3/envs/das/lib/python3.9/site-packages (from pooch>=1.0->librosa->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.4.4)
Requirement already satisfied: threadpoolctl>=2.0.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from scikit-learn->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.2.0)
Requirement already satisfied: cycler>=0.10 in ./anaconda3/envs/das/lib/python3.9/site-packages (from matplotlib->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.11.0)
Requirement already satisfied: fonttools>=4.22.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from matplotlib->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (4.25.0)
Requirement already satisfied: pillow>=6.2.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from matplotlib->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (8.4.0)
Requirement already satisfied: python-dateutil>=2.7 in ./anaconda3/envs/das/lib/python3.9/site-packages (from matplotlib->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.8.2)
Requirement already satisfied: kiwisolver>=1.0.1 in ./anaconda3/envs/das/lib/python3.9/site-packages (from matplotlib->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.3.1)
Requirement already satisfied: pytz>=2017.3 in ./anaconda3/envs/das/lib/python3.9/site-packages (from pandas->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2021.3)
Requirement already satisfied: idna<4,>=2.5 in ./anaconda3/envs/das/lib/python3.9/site-packages (from requests->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (3.3)
Requirement already satisfied: charset-normalizer~=2.0.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from requests->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.0.4)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in ./anaconda3/envs/das/lib/python3.9/site-packages (from requests->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.26.7)
Requirement already satisfied: certifi>=2017.4.17 in ./anaconda3/envs/das/lib/python3.9/site-packages (from requests->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2021.10.8)
Requirement already satisfied: numexpr>=2.6.2 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tables->flammkuchen->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.7.3)
Requirement already satisfied: grpcio>=1.24.3 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.42.0)
Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.4.1)
Requirement already satisfied: absl-py>=0.4 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.13.0)
Requirement already satisfied: google-auth<2,>=1.6.3 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.33.0)
Requirement already satisfied: protobuf>=3.6.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (3.14.0)
Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.6.0)
Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.6.0)
Requirement already satisfied: markdown>=2.6.8 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (3.3.4)
Requirement already satisfied: werkzeug>=0.11.15 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (2.0.2)
Requirement already satisfied: wheel>=0.26 in ./anaconda3/envs/das/lib/python3.9/site-packages (from tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.35.1)
Requirement already satisfied: pyasn1-modules>=0.2.1 in ./anaconda3/envs/das/lib/python3.9/site-packages (from google-auth<2,>=1.6.3->tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.2.8)
Requirement already satisfied: rsa<5,>=3.1.4 in ./anaconda3/envs/das/lib/python3.9/site-packages (from google-auth<2,>=1.6.3->tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (4.7.2)
Requirement already satisfied: cachetools<5.0,>=2.0.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from google-auth<2,>=1.6.3->tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (4.2.2)
Requirement already satisfied: requests-oauthlib>=0.7.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (1.3.0)
Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in ./anaconda3/envs/das/lib/python3.9/site-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.4.8)
Requirement already satisfied: oauthlib>=3.0.0 in ./anaconda3/envs/das/lib/python3.9/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard->keras-tuner->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (3.1.1)
Requirement already satisfied: fasteners in ./anaconda3/envs/das/lib/python3.9/site-packages (from zarr->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.16.3)
Requirement already satisfied: numcodecs>=0.6.4 in ./anaconda3/envs/das/lib/python3.9/site-packages (from zarr->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.8.0)
Requirement already satisfied: asciitree in ./anaconda3/envs/das/lib/python3.9/site-packages (from zarr->das->-r /workspace/condaenv.9qb1bzyo.requirements.txt (line 1)) (0.3.3)
Installing collected packages: kt-legacy, pysoundfile, das
Successfully installed das-0.22.8 kt-legacy-1.0.4 pysoundfile-0.9.0.post1

done
#
# To activate this environment, use
#
#     $ conda activate das
#
# To deactivate an active environment, use
#
#     $ conda deactivate

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postpop commented Dec 4, 2021

Great! We are looking into speeding up the installation process.

@postpop postpop closed this as completed Dec 4, 2021
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postpop commented Dec 7, 2021

For future reference: We now have DAS conda packages instead of environments (see here). This greatly speeds up installations.

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