python:jupyterlab:jupyterlab-nvdashboard [ともやん・どっと・ねっと]

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====== jupyterlab_nvdashboard ======
[[git>rapidsai/jupyterlab-nvdashboard|rapidsai/jupyterlab-nvdashboard: A JupyterLab extension for displaying dashboards of GPU usage.]] [[gtr>https://github.com/rapidsai/jupyterlab-nvdashboard|翻訳]]\\
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{{:python:jupyterlab:jupyterlab_nvdashboard_001.png?1024|jupyterlab_nvdashboard 001}}\\
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====== インストール ======
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(pyJupyterLab) $ pip install jupyterlab-nvdashboard
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Requirement already satisfied: asttokens in ./pyJupyterLab/lib/python3.9/site-packages (from stack-data->ipython->jupyterlab==3.*,>=3.0.0rc13->jupyterlab-nvdashboard) (2.0.5)
Requirement already satisfied: executing in ./pyJupyterLab/lib/python3.9/site-packages (from stack-data->ipython->jupyterlab==3.*,>=3.0.0rc13->jupyterlab-nvdashboard) (0.8.3)
Requirement already satisfied: six>=1.5 in ./pyJupyterLab/lib/python3.9/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.12->jupyter-server~=1.16->jupyterlab==3.*,>=3.0.0rc
13->jupyterlab-nvdashboard) (1.16.0)
Requirement already satisfied: cffi>=1.0.1 in ./pyJupyterLab/lib/python3.9/site-packages (from argon2-cffi-bindings->argon2-cffi->jupyter-server~=1.16->jupyterlab==3.*,>=3.0.0rc13->jupyte
rlab-nvdashboard) (1.15.0)
Requirement already satisfied: soupsieve>1.2 in ./pyJupyterLab/lib/python3.9/site-packages (from beautifulsoup4->nbconvert>=6.4.4->jupyter-server~=1.16->jupyterlab==3.*,>=3.0.0rc13->jupyt
erlab-nvdashboard) (2.3.2)
Requirement already satisfied: webencodings in ./pyJupyterLab/lib/python3.9/site-packages (from bleach->nbconvert>=6.4.4->jupyter-server~=1.16->jupyterlab==3.*,>=3.0.0rc13->jupyterlab-nvd
ashboard) (0.5.1)
Requirement already satisfied: pycparser in ./pyJupyterLab/lib/python3.9/site-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->jupyter-server~=1.16->jupyterlab==3.*,>=3.0.0r
c13->jupyterlab-nvdashboard) (2.21)
Installing collected packages: simpervisor, typing-extensions, PyYAML, pynvml, pillow, numpy, multidict, frozenlist, async-timeout, yarl, bokeh, aiosignal, aiohttp, jupyter-server-proxy, 
jupyterlab-nvdashboard
Successfully installed PyYAML-6.0 aiohttp-3.8.1 aiosignal-1.2.0 async-timeout-4.0.2 bokeh-2.4.3 frozenlist-1.3.1 jupyter-server-proxy-3.2.1 jupyterlab-nvdashboard-0.7.0 multidict-6.0.2 nu
mpy-1.23.2 pillow-9.2.0 pynvml-11.4.1 simpervisor-0.4 typing-extensions-4.3.0 yarl-1.8.1
</pre></html></WRAP>
</WRAP>

====== トラブルシューティング ======
サーバー拡張機能が有効になっていることを確認する🤔\\
<WRAP color_term>
<WRAP color_command><code>
(pyJupyterLab) $ jupyter server extension list
</code></WRAP>
<WRAP color_result><html><pre>
Config dir: /home/dietpi/.jupyter

Config dir: /home/dietpi/pyJupyterLab/etc/jupyter
    jupyter_server_proxy <b class=GRN>enabled</b>
    - Validating jupyter_server_proxy...
      jupyter_server_proxy  <b class=GRN>OK</b>
    jupyterlab <b class=GRN>enabled</b>
    - Validating jupyterlab...
      jupyterlab 3.4.5 OK
    jupyterlab_nvdashboard <b class=GRN>enabled</b>
    - Validating jupyterlab_nvdashboard...
      jupyterlab_nvdashboard  <b class=GRN>OK</b>
    nbclassic <b class=GRN>enabled</b>
    - Validating nbclassic...
      nbclassic  <b class=GRN>OK</b>
    notebook_shim <b class=GRN>enabled</b>
    - Validating notebook_shim...
      notebook_shim  <b class=GRN>OK</b>
    voila.server_extension <b class=GRN>enabled</b>
    - Validating voila.server_extension...
      voila.server_extension  <b class=GRN>OK</b>

Config dir: /usr/local/etc/jupyter

</pre></html></WRAP>
</WRAP>

サーバー拡張機能が有効な場合で、フロントエンド拡張機能が表示されない場合は、フロントエンド拡張機能が有効になっていることを確認する🤔\\
<WRAP color_term>
<WRAP color_command><code>
(pyJupyterLab) $ jupyter labextension list
</code></WRAP>
<WRAP color_result><html><pre>
JupyterLab v3.4.5
/home/dietpi/pyJupyterLab/share/jupyter/labextensions
        jupyterlab-nvdashboard v0.7.0 <b class=GRN>enabled OK</b> (python, jupyterlab_nvdashboard)
        @voila-dashboards/jupyterlab-preview v2.1.6 <b class=GRN>enabled OK</b> (python, voila)
        @jupyterlab/server-proxy v3.2.1 <b class=GRN>enabled OK</b>

</pre></html></WRAP>
</WRAP>

====== JupyterLab の起動 ======
<WRAP color_term>
<WRAP color_command><html><pre>
(pyJupyterLab) $ jupyter lab --ip=0.0.0.0 --no-browser
</pre></html></WRAP>
<WRAP color_result_long><html><pre>
<b class=GRN>[I 2022-09-06 13:18:59.307 ServerApp]</b> jupyter_server_proxy | extension was successfully linked.
<b class=GRN>[I 2022-09-06 13:19:00.277 ServerApp]</b> jupyterlab | extension was successfully linked.
<b class=GRN>[I 2022-09-06 13:19:00.285 ServerApp]</b> jupyterlab_nvdashboard | extension was successfully linked.
<b class=GRN>[I 2022-09-06 13:19:00.875 ServerApp]</b> nbclassic | extension was successfully linked.
<b class=GRN>[I 2022-09-06 13:19:12.261 ServerApp]</b> notebook_shim | extension was successfully linked.
<b class=GRN>[I 2022-09-06 13:19:12.278 ServerApp]</b> voila.server_extension | extension was successfully linked.
<b class=GRN>[I 2022-09-06 13:19:13.519 ServerApp]</b> notebook_shim | extension was successfully loaded.
<b class=GRN>[I 2022-09-06 13:19:54.079 ServerApp]</b> jupyter_server_proxy | extension was successfully loaded.
<b class=GRN>[I 2022-09-06 13:19:54.192 LabApp]</b> JupyterLab extension loaded from /home/dietpi/pyJupyterLab/lib/python3.9/site-packages/jupyterlab
<b class=GRN>[I 2022-09-06 13:19:54.196 LabApp]</b> JupyterLab application directory is /home/dietpi/pyJupyterLab/share/jupyter/lab
<b class=GRN>[I 2022-09-06 13:19:54.471 ServerApp]</b> jupyterlab | extension was successfully loaded.
<b class=YEL>[W 2022-09-06 13:19:54.507 ServerApp]</b> jupyterlab_nvdashboard | extension failed loading with message: 'NoneType' object is not callable
<b class=GRN>[I 2022-09-06 13:19:54.836 ServerApp]</b> nbclassic | extension was successfully loaded.
<b class=GRN>[I 2022-09-06 13:19:55.034 ServerApp]</b> voila.server_extension | extension was successfully loaded.
<b class=GRN>[I 2022-09-06 13:19:55.054 ServerApp]</b> Serving notebooks from local directory: /home/dietpi
<b class=GRN>[I 2022-09-06 13:19:55.063 ServerApp]</b> Jupyter Server 1.18.1 is running at:
<b class=GRN>[I 2022-09-06 13:19:55.069 ServerApp]</b> http://dietpi-001:8888/lab
<b class=GRN>[I 2022-09-06 13:19:55.076 ServerApp]</b>  or http://127.0.0.1:8888/lab
<b class=GRN>[I 2022-09-06 13:19:55.090 ServerApp]</b> Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
<b class=YEL>[W 2022-09-06 13:20:18.183 LabApp]</b> Could not determine jupyterlab build status without nodejs 
Traceback (most recent call last):
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/__init__.py", line 23, in <module>
    from . import multiarray
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/multiarray.py", line 10, in <module>
    from . import overrides
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/overrides.py", line 6, in <module>
    from numpy.core._multiarray_umath import ( 
ImportError: libcblas.so.3: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/jupyterlab_nvdashboard/server.py", line 3, in <module>
    from bokeh.server.server import Server
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/bokeh/server/server.py", line 56, in <module>
    from ..core import properties as p
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/bokeh/core/properties.py", line 268, in <module>
    from .property.alias import Alias; Alias
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/bokeh/core/property/alias.py", line 28, in <module>
    from .bases import Property
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/bokeh/core/property/bases.py", line 46, in <module>
    import numpy as np
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/__init__.py", line 140, in <module>
    from . import core
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/__init__.py", line 49, in <module>
    raise ImportError(msg)
ImportError: 

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.

We have compiled some common reasons and troubleshooting tips at:

    https://numpy.org/devdocs/user/troubleshooting-importerror.html

Please note and check the following:

  * The Python version is: Python3.9 from "/home/dietpi/pyJupyterLab/bin/python"
  * The NumPy version is: "1.23.2"

and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: libcblas.so.3: cannot open shared object file: No such file or directory

Traceback (most recent call last):
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/__init__.py", line 23, in <module>
    from . import multiarray
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/multiarray.py", line 10, in <module>
    from . import overrides
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/overrides.py", line 6, in <module>
    from numpy.core._multiarray_umath import ( 
ImportError: libcblas.so.3: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/jupyterlab_nvdashboard/server.py", line 3, in <module>
    from bokeh.server.server import Server
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/bokeh/server/server.py", line 56, in <module>
    from ..core import properties as p
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/bokeh/core/properties.py", line 268, in <module>
    from .property.alias import Alias; Alias
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/bokeh/core/property/alias.py", line 28, in <module>
    from .bases import Property
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/bokeh/core/property/bases.py", line 46, in <module>
    import numpy as np
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/__init__.py", line 140, in <module>
    from . import core
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/__init__.py", line 49, in <module>
    raise ImportError(msg)
ImportError: 

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.

We have compiled some common reasons and troubleshooting tips at:

    https://numpy.org/devdocs/user/troubleshooting-importerror.html

Please note and check the following:

  * The Python version is: Python3.9 from "/home/dietpi/pyJupyterLab/bin/python"
  * The NumPy version is: "1.23.2"

and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: libcblas.so.3: cannot open shared object file: No such file or directory

<b class=YEL>[W 2022-09-06 13:20:39.336 ServerApp]</b> 500 GET /nvdashboard/index.json?1662438017310 (172.16.78.253): could not start nvdashboard in time
<b class=YEL>[E 2022-09-06 13:20:40.365 ServerApp]</b> {
      "Host": "dietpi-001s8:8888",
      "Accept": "*/*",
      "Referer": "http://dietpi-001s8:8888/lab",
      "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.5112.105 Safari/537.36"
    }
<b class=YEL>[E 2022-09-06 13:20:40.373 ServerApp]</b> 500 GET /nvdashboard/index.json?1662438017310 (172.16.78.253) 22527.18ms referer=http://dietpi-001s8:8888/lab

</pre></html></WRAP>
</WRAP>

<WRAP color_term>
<WRAP color_command><code>
$ sudo update-alternatives --get-selections
</code></WRAP>
<WRAP color_result_long><html><pre>
automake                       auto     /usr/bin/automake-1.16
awk                            auto     /usr/bin/mawk
builtins.7.gz                  auto     /usr/share/man/man7/bash-builtins.7.gz
c++                            auto     /usr/bin/g++
c89                            auto     /usr/bin/c89-gcc
c99                            auto     /usr/bin/c99-gcc
cc                             auto     /usr/bin/gcc
cpp                            auto     /usr/bin/cpp
cyfmac43455-sdio.bin           auto     /lib/firmware/cypress/cyfmac43455-sdio-standard.bin
display                        auto     /usr/bin/gpicview
editor                         auto     /bin/nano
gnome-www-browser              auto     /usr/bin/chromium-browser
iotop                          auto     /usr/sbin/iotop-py
libblas.so.3-arm-linux-gnueabihf manual   /usr/lib/arm-linux-gnueabihf/blas/libblas.so.3
liblapack.so.3-arm-linux-gnueabihf auto     /usr/lib/arm-linux-gnueabihf/openblas-pthread/liblapack.so.3
libopenblas.so.0-arm-linux-gnueabihf auto     /usr/lib/arm-linux-gnueabihf/openblas-pthread/libopenblas.so.0
lightdm-greeter                auto     /usr/share/xgreeters/lightdm-gtk-greeter.desktop
lzma                           auto     /usr/bin/xz
mp3-decoder                    auto     /usr/bin/mpg123.bin
mpg123                         auto     /usr/bin/mpg123.bin
mt                             auto     /bin/mt-gnu
open                           auto     /usr/bin/xdg-open
pager                          auto     /usr/bin/less
pico                           auto     /bin/nano
pinentry                       auto     /usr/bin/pinentry-curses
rcp                            auto     /usr/bin/scp
regulatory.db                  auto     /lib/firmware/regulatory.db-debian
rlogin                         auto     /usr/bin/slogin
rmt                            auto     /usr/sbin/rmt-tar
rsh                            auto     /usr/bin/ssh
tdbbackup                      auto     /usr/bin/tdbbackup.tdbtools
vncconfig                      auto     /usr/bin/tigervncconfig
vncpasswd                      auto     /usr/bin/tigervncpasswd
vncserver                      auto     /usr/bin/tigervncserver
vncsession                     auto     /usr/sbin/tigervncsession
write                          auto     /usr/bin/write.ul
x0vncserver                    auto     /usr/bin/x0tigervncserver
x-cursor-theme                 auto     /usr/share/icons/Adwaita/cursor.theme
x-session-manager              auto     /usr/bin/startlxde
x-terminal-emulator            auto     /usr/bin/lxterminal
Xvnc                           auto     /usr/bin/Xtigervnc
x-window-manager               auto     /usr/bin/openbox
x-www-browser                  auto     /usr/bin/chromium-browser
yacc                           auto     /usr/bin/bison.yacc
</pre></html></WRAP>
</WRAP>

===== NumPy が依存している libcblas.so.3 をインストールする =====
この文献の NumPy のバージョンは以下のとおり...🤔\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ pip show --verbose numpy
</pre></html></WRAP>
<WRAP color_result_long><html><pre>
Name: numpy
Version: 1.23.2
Summary: NumPy is the fundamental package for array computing with Python.
Home-page: https://www.numpy.org
Author: Travis E. Oliphant et al.
Author-email: 
License: BSD
Location: /home/dietpi/pyJupyterLab/lib/python3.9/site-packages
Requires: 
Required-by: bokeh
Metadata-Version: 2.1
Installer: pip
Classifiers:
  Development Status :: 5 - Production/Stable
  Intended Audience :: Science/Research
  Intended Audience :: Developers
  License :: OSI Approved :: BSD License
  Programming Language :: C
  Programming Language :: Python
  Programming Language :: Python :: 3
  Programming Language :: Python :: 3.8
  Programming Language :: Python :: 3.9
  Programming Language :: Python :: 3.10
  Programming Language :: Python :: 3 :: Only
  Programming Language :: Python :: Implementation :: CPython
  Topic :: Software Development
  Topic :: Scientific/Engineering
  Typing :: Typed
  Operating System :: Microsoft :: Windows
  Operating System :: POSIX
  Operating System :: Unix
  Operating System :: MacOS
Entry-points:
  [array_api]
  numpy = numpy.array_api
  
  [console_scripts]
  f2py = numpy.f2py.f2py2e:main
  f2py3 = numpy.f2py.f2py2e:main
  f2py3.9 = numpy.f2py.f2py2e:main
  
  [pyinstaller40]
  hook-dirs = numpy:_pyinstaller_hooks_dir
Project-URLs:
  Bug Tracker, https://github.com/numpy/numpy/issues
  Documentation, https://numpy.org/doc/1.23
  Source Code, https://github.com/numpy/numpy
</pre></html></WRAP>
</WRAP>

Raspberry Pi の Python で NumPy をインストールしても動かない😅\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ python -c 'import numpy'
</pre></html></WRAP>
<WRAP color_result_long><html><pre>
Traceback (most recent call last):
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/__init__.py", line 23, in <module>
    from . import multiarray
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/multiarray.py", line 10, in <module>
    from . import overrides
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/overrides.py", line 6, in <module>
    from <b class=DiYE>numpy.core._multiarray_umath</b> import (
ImportError: libcblas.so.3: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/__init__.py", line 140, in <module>
    from . import core
  File "/home/dietpi/pyJupyterLab/lib/python3.9/site-packages/numpy/core/__init__.py", line 49, in <module>
    raise ImportError(msg)
ImportError: 

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.

We have compiled some common reasons and troubleshooting tips at:

    https://numpy.org/devdocs/user/troubleshooting-importerror.html

Please note and check the following:

  * The Python version is: Python3.9 from "/home/dietpi/pyJupyterLab/bin/python"
  * The NumPy version is: "1.23.2"

and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: libcblas.so.3: cannot open shared object file: No such file or directory

</pre></html></WRAP>
</WRAP>

==== 共有ライブラリの依存関係を調べる ====
Python 3.9.2 の NumPy の場合、<html><code>{Python 仮想環境ディレクトリ}/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-arm-linux-gnueabihf.so</code></html> を ldd コマンドで調べる🤔\\
※NumPy が依存している BLAS (Basic Linear Algebra Subprograms) 共有ライブラリ (libcblas.so.3) が無い😱😇\\
<WRAP prewrap 100% color_term>
<WRAP color_command><html><pre>
$ python -VV
</pre></html></WRAP>
<WRAP color_result><html><pre>
Python 3.9.2 (default, Mar 12 2021, 04:06:34) 
[GCC 10.2.1 20210110]
</pre></html></WRAP>
<WRAP color_command><html><pre>
$ ldd ./pyJupyterLab/lib/python3.9/site-packages/<b class=DiYE>numpy/core/_multiarray_umath</b>.cpython-39-arm-linux-gnueabihf.so 
</pre></html></WRAP>
<WRAP color_result><html><pre>
	/usr/lib/arm-linux-gnueabihf/libarmmem-${PLATFORM}.so => /usr/lib/arm-linux-gnueabihf/libarmmem-v6l.so (0xb6cfa000)
	<b class=DiYE>libcblas.so.3</b> => <b class=RED>not found</b>
	libm.so.6 => /lib/arm-linux-gnueabihf/libm.so.6 (0xb6c7a000)
	libpthread.so.0 => /lib/arm-linux-gnueabihf/libpthread.so.0 (0xb6c4e000)
	libc.so.6 => /lib/arm-linux-gnueabihf/libc.so.6 (0xb6afa000)
	/lib/ld-linux-armhf.so.3 (0xb6f87000)
</pre></html></WRAP>
</WRAP>

libcblas.so.3 をインストールするには libatlas3-base が必要ですけど...🤔\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ sudo apt-file update && apt-file search <b class=DiYE>libcblas.so.3</b>
</pre></html></WRAP>
<WRAP color_result><html><pre>
Get:1 http://raspbian.raspberrypi.org/raspbian bullseye InRelease [15.0 kB]                              
Hit:2 https://archive.raspberrypi.org/debian bullseye InRelease                             
Fetched 15.0 kB in 4s (4,243 B/s)                              
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
All packages are up to date.
<b class=DiYE>libatlas3-base: /usr/lib/arm-linux-gnueabihf/libcblas.so.3</b>
libatlas3-base: /usr/lib/arm-linux-gnueabihf/libcblas.so.3.10.3
libblas-dev: /usr/share/doc/libblas-dev/README.if-you-look-for-libcblas.so.3
</pre></html></WRAP>
</WRAP>

libatlas3-base パッケージに libcblas.so.3 が含まれますが、パッケージの依存関係は libatlas-base-dev が libatlas3-base に依存しているので、libatlas-base-dev をインストールすれば問題は解決します😊\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ apt-cache depends <b class=DiYE>libatlas3-base</b>
</pre></html></WRAP>
<WRAP color_result><html><pre>
libatlas3-base
  Depends: libc6
  Depends: libgcc-s1
  Depends: libgfortran5
  Conflicts: <libcblas3>
  Breaks: libatlas-base-dev
  Breaks: libblas3
  Breaks: liblapack3
  Breaks: libopenblas-base
  Replaces: <libcblas3>
</pre></html></WRAP>
<WRAP color_command><html><pre>
$ apt-cache depends <b class=DiYE>libatlas-base-dev</b>
</pre></html></WRAP>
<WRAP color_result><html><pre>
libatlas-base-dev
  <b class=DiYE>Depends: libatlas3-base</b>
  Conflicts: <libcblas-dev>
  Breaks: <libatlas-dev>
  Breaks: libblas-dev
  Breaks: liblapack-dev
  Breaks: libopenblas-dev
  Suggests: libatlas-doc
  Suggests: liblapack-doc
  Replaces: <libatlas-dev>
  Replaces: <libcblas-dev>
</pre></html></WRAP>
</WRAP>

==== libatlas-base-dev パッケージのインストール ====
[[https://numpy.org/devdocs/user/troubleshooting-importerror.html#raspberry-pi|Troubleshooting ImportError(Raspberry Pi) - NumPy v1.24.dev0 Manual]]の指示にしたがってlibatlas-base-dev パッケージをインストールする🤔\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ sudo apt install libatlas-base-dev
</pre></html></WRAP>
<WRAP color_result_long><html><pre>
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
The following additional packages will be installed:
  libatlas3-base
Suggested packages:
  libatlas-doc liblapack-doc
The following NEW packages will be installed:
  libatlas-base-dev libatlas3-base
0 upgraded, 2 newly installed, 0 to remove and 0 not upgraded.
Need to get 5,055 kB of archives.
After this operation, 26.5 MB of additional disk space will be used.
Do you want to continue? [Y/n] y
Get:1 http://raspbian.raspberrypi.org/raspbian bullseye/main armhf libatlas3-base armhf 3.10.3-10+rpi1 [2,454 kB]
Get:2 http://raspbian.raspberrypi.org/raspbian bullseye/main armhf libatlas-base-dev armhf 3.10.3-10+rpi1 [2,601 kB]
Fetched 5,055 kB in 19s (265 kB/s)
debconf: delaying package configuration, since apt-utils is not installed
Selecting previously unselected package libatlas3-base:armhf.
(Reading database ... 75272 files and directories currently installed.)
Preparing to unpack .../libatlas3-base_3.10.3-10+rpi1_armhf.deb ...
Unpacking libatlas3-base:armhf (3.10.3-10+rpi1) ...
Selecting previously unselected package libatlas-base-dev:armhf.
Preparing to unpack .../libatlas-base-dev_3.10.3-10+rpi1_armhf.deb ...
Unpacking libatlas-base-dev:armhf (3.10.3-10+rpi1) ...
Setting up libatlas3-base:armhf (3.10.3-10+rpi1) ...
update-alternatives: using /usr/lib/arm-linux-gnueabihf/atlas/libblas.so.3 to provide /usr/lib/arm-linux-gnueabihf/libblas.so.3 (libblas.so.3-arm-linux-gnueabihf) in auto mode
update-alternatives: using /usr/lib/arm-linux-gnueabihf/atlas/liblapack.so.3 to provide /usr/lib/arm-linux-gnueabihf/liblapack.so.3 (liblapack.so.3-arm-linux-gnueabihf) in auto mode
Setting up libatlas-base-dev:armhf (3.10.3-10+rpi1) ...
update-alternatives: using /usr/lib/arm-linux-gnueabihf/atlas/libblas.so to provide /usr/lib/arm-linux-gnueabihf/libblas.so (libblas.so-arm-linux-gnueabihf) in auto mode
update-alternatives: using /usr/lib/arm-linux-gnueabihf/atlas/liblapack.so to provide /usr/lib/arm-linux-gnueabihf/liblapack.so (liblapack.so-arm-linux-gnueabihf) in auto mode
Processing triggers for libc-bin (2.31-13+rpt2+rpi1+deb11u3) ...
</pre></html></WRAP>
</WRAP>

BLAS (Basic Linear Algebra Subprograms) の実装は複数あるが、openblas の pthread 版をひとまずインストールしてみる...🤔\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ sudo update-alternatives --config libblas.so.3-arm-linux-gnueabihf
</pre></html></WRAP>
<WRAP color_result><html><pre>
There are 3 choices for the alternative libblas.so.3-arm-linux-gnueabihf (providing /usr/lib/arm-linux-gnueabihf/libblas.so.3).

  Selection    Path                                                        Priority   Status
------------------------------------------------------------
* 0            /usr/lib/arm-linux-gnueabihf/openblas-pthread/libblas.so.3   100       auto mode
  1            /usr/lib/arm-linux-gnueabihf/atlas/libblas.so.3              35        manual mode
  2            /usr/lib/arm-linux-gnueabihf/blas/libblas.so.3               10        manual mode
  3            /usr/lib/arm-linux-gnueabihf/openblas-pthread/libblas.so.3   100       manual mode

Press <enter> to keep the current choice[*], or type selection number: 
</pre></html></WRAP>
</WRAP>

libopenblas0-pthread パッケージに含まれている🤔\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ sudo apt-file update && apt-file search --regexp 'libc?blas.so.3'
</pre></html></WRAP>
<WRAP color_result><html><pre>
Hit:1 http://raspbian.raspberrypi.org/raspbian bullseye InRelease                   
Hit:2 https://archive.raspberrypi.org/debian bullseye InRelease                     
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
All packages are up to date.
libatlas3-base: /usr/lib/arm-linux-gnueabihf/atlas/libblas.so.3
libatlas3-base: /usr/lib/arm-linux-gnueabihf/atlas/libblas.so.3.10.3
libatlas3-base: /usr/lib/arm-linux-gnueabihf/libcblas.so.3
libatlas3-base: /usr/lib/arm-linux-gnueabihf/libcblas.so.3.10.3
libblas-dev: /usr/share/doc/libblas-dev/README.if-you-look-for-libcblas.so.3
libblas3: /usr/lib/arm-linux-gnueabihf/blas/libblas.so.3
libblas3: /usr/lib/arm-linux-gnueabihf/blas/libblas.so.3.9.0
libblis3-openmp: /usr/lib/arm-linux-gnueabihf/blis-openmp/libblas.so.3
libblis3-pthread: /usr/lib/arm-linux-gnueabihf/blis-pthread/libblas.so.3
libblis3-serial: /usr/lib/arm-linux-gnueabihf/blis-serial/libblas.so.3
libopenblas0-openmp: /usr/lib/arm-linux-gnueabihf/openblas-openmp/libblas.so.3
libopenblas0-pthread: /usr/lib/arm-linux-gnueabihf/openblas-pthread/libblas.so.3
libopenblas0-serial: /usr/lib/arm-linux-gnueabihf/openblas-serial/libblas.so.3
</pre></html></WRAP>
</WRAP>

libopenblas0-pthread パッケージをインストールする🤔\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ sudo apt install libopenblas0-pthread
</pre></html></WRAP>
<WRAP color_result><html><pre>
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
The following NEW packages will be installed:
  libopenblas0-pthread
0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded.
Need to get 2,152 kB of archives.
After this operation, 13.9 MB of additional disk space will be used.
Get:1 http://raspbian.raspberrypi.org/raspbian bullseye/main armhf libopenblas0-pthread armhf 0.3.13+ds-3+rpi1 [2,152 kB]
Fetched 2,152 kB in 4s (502 kB/s)                 
debconf: delaying package configuration, since apt-utils is not installed
Selecting previously unselected package libopenblas0-pthread:armhf.
(Reading database ... 78711 files and directories currently installed.)
Preparing to unpack .../libopenblas0-pthread_0.3.13+ds-3+rpi1_armhf.deb ...
Unpacking libopenblas0-pthread:armhf (0.3.13+ds-3+rpi1) ...
Setting up libopenblas0-pthread:armhf (0.3.13+ds-3+rpi1) ...
update-alternatives: using /usr/lib/arm-linux-gnueabihf/openblas-pthread/libblas.so.3 to provide /usr/lib/a
rm-linux-gnueabihf/libblas.so.3 (libblas.so.3-arm-linux-gnueabihf) in auto mode
update-alternatives: using /usr/lib/arm-linux-gnueabihf/openblas-pthread/liblapack.so.3 to provide /usr/lib
/arm-linux-gnueabihf/liblapack.so.3 (liblapack.so.3-arm-linux-gnueabihf) in auto mode
update-alternatives: using /usr/lib/arm-linux-gnueabihf/openblas-pthread/libopenblas.so.0 to provide /usr/l
ib/arm-linux-gnueabihf/libopenblas.so.0 (libopenblas.so.0-arm-linux-gnueabihf) in auto mode
Processing triggers for libc-bin (2.31-13+rpt2+rpi1+deb11u4) ...
</pre></html></WRAP>
</WRAP>

これは libblas.so.3 を切り替えているだけで...🤔\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ sudo update-alternatives --config libblas.so.3-arm-linux-gnueabihf
</pre></html></WRAP>
<WRAP color_result><html><pre>
There are 2 choices for the alternative libblas.so.3-arm-linux-gnueabihf (providing /usr/lib/arm-linux-gnueabihf/libblas.so.3).

  Selection    Path                                                        Priority   Status
------------------------------------------------------------
* 0            /usr/lib/arm-linux-gnueabihf/openblas-pthread/libblas.so.3   100       auto mode
  1            /usr/lib/arm-linux-gnueabihf/blas/libblas.so.3               10        manual mode
  2            /usr/lib/arm-linux-gnueabihf/openblas-pthread/libblas.so.3   100       manual mode

Press <enter> to keep the current choice[*], or type selection number: 
</pre></html></WRAP>
</WRAP>

libcblas.so.3 は別途必要...？🤔🤔🤔\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ ll /usr/lib/arm-linux-gnueabihf/openblas-pthread/libblas.so.3
</pre></html></WRAP>
<WRAP color_result><html><pre>
-rw-r--r-- 1 root root 272780 Apr 30  2021 /usr/lib/arm-linux-gnueabihf/openblas-pthread/libblas.so.3
</pre></html></WRAP>
<WRAP color_command><html><pre>
$ ldd ./pyJupyterLab/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-arm-linux-gnueabihf.so
</pre></html></WRAP>
<WRAP color_result><html><pre>
	/usr/lib/arm-linux-gnueabihf/libarmmem-${PLATFORM}.so => /usr/lib/arm-linux-gnueabihf/libarmmem-v6l.so (0xb6ce5000)
	libcblas.so.3 => not found
	libm.so.6 => /lib/arm-linux-gnueabihf/libm.so.6 (0xb6c65000)
	libpthread.so.0 => /lib/arm-linux-gnueabihf/libpthread.so.0 (0xb6c39000)
	libc.so.6 => /lib/arm-linux-gnueabihf/libc.so.6 (0xb6ae5000)
	/lib/ld-linux-armhf.so.3 (0xb6f72000)
</pre></html></WRAP>
</WRAP>

libcblas.so.3 をインストールするには libatlas3-base が必要です😅\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ sudo apt-file update && apt-file search libcblas.so.3
</pre></html></WRAP>
<WRAP color_result><html><pre>
Get:1 http://raspbian.raspberrypi.org/raspbian bullseye InRelease [15.0 kB]                              
Hit:2 https://archive.raspberrypi.org/debian bullseye InRelease                             
Fetched 15.0 kB in 4s (4,243 B/s)                              
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
All packages are up to date.
libatlas3-base: /usr/lib/arm-linux-gnueabihf/libcblas.so.3
libatlas3-base: /usr/lib/arm-linux-gnueabihf/libcblas.so.3.10.3
libblas-dev: /usr/share/doc/libblas-dev/README.if-you-look-for-libcblas.so.3
</pre></html></WRAP>
</WRAP>

libatlas3-base パッケージをインストールする🤔\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ sudo apt install libatlas3-base
</pre></html></WRAP>
<WRAP color_result><html><pre>
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
The following NEW packages will be installed:
  libatlas3-base
0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded.
Need to get 2,454 kB of archives.
After this operation, 9,484 kB of additional disk space will be used.
Get:1 http://raspbian.raspberrypi.org/raspbian bullseye/main armhf libatlas3-base armhf 3.10.3-10+rpi1 [2,454 kB]
Fetched 2,454 kB in 6s (444 kB/s)           
debconf: delaying package configuration, since apt-utils is not installed
Selecting previously unselected package libatlas3-base:armhf.
(Reading database ... 78721 files and directories currently installed.)
Preparing to unpack .../libatlas3-base_3.10.3-10+rpi1_armhf.deb ...
Unpacking libatlas3-base:armhf (3.10.3-10+rpi1) ...
Setting up libatlas3-base:armhf (3.10.3-10+rpi1) ...
Processing triggers for libc-bin (2.31-13+rpt2+rpi1+deb11u4) ...
</pre></html></WRAP>
</WRAP>

Numpy のエラーは解消された😆\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ ldd ./pyJupyterLab/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-arm-linux-gnueabihf.so
</pre></html></WRAP>
<WRAP color_result><html><pre>
	/usr/lib/arm-linux-gnueabihf/libarmmem-${PLATFORM}.so => /usr/lib/arm-linux-gnueabihf/libarmmem-v6l.so (0xb6c86000)
	libcblas.so.3 => /lib/arm-linux-gnueabihf/libcblas.so.3 (0xb6c49000)
	libm.so.6 => /lib/arm-linux-gnueabihf/libm.so.6 (0xb6bda000)
	libpthread.so.0 => /lib/arm-linux-gnueabihf/libpthread.so.0 (0xb6bae000)
	libc.so.6 => /lib/arm-linux-gnueabihf/libc.so.6 (0xb6a5a000)
	/lib/ld-linux-armhf.so.3 (0xb6f13000)
	libatlas.so.3 => /lib/arm-linux-gnueabihf/libatlas.so.3 (0xb6788000)
	libgcc_s.so.1 => /lib/arm-linux-gnueabihf/libgcc_s.so.1 (0xb675b000)
</pre></html></WRAP>
<WRAP color_command><html><pre>
$ python -c 'import numpy'
</pre></html></WRAP>
<WRAP color_result><html><pre>
</pre></html></WRAP>
</WRAP>

nmap、gimp、vlc などは libatlas3-base に依存してる？？？🤔🤔🤔🤔🤔\\
<WRAP color_term>
<WRAP color_command><html><pre>
$ sudo apt remove libatlas3-base libblas3
</pre></html></WRAP>
<WRAP color_result><html><pre>
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
The following packages were automatically installed and are no longer required:
  gimp-data graphviz liba52-0.7.4 libamd2 libarchive13 libaribb24-0 libass9 libavformat58 libbabl-0.1-0
  libbasicusageenvironment1 libbluray2 libbs2b0 libcamd2 libccolamd2 libcddb2 libcdt5 libcgraph6
  libchromaprint1 libcolamd2 libdc1394-25 libdca0 libde265-0 libdouble-conversion3 libdvbpsi10 libdvdnav4
  libdvdread8 libebml5 libexiv2-27 libfaad2 libfftw3-double3 libflite1 libgd3 libgegl-common libgexiv2-2
  libgfortran5 libgme0 libgroupsock8 libgs9 libgs9-common libgts-0.7-5 libgvc6 libgvpr2 libheif1 libidn11
  libijs-0.35 libilmbase25 libixml10 libjbig2dec0 libkate1 liblab-gamut1 liblilv-0-0 liblirc-client0
  liblivemedia77 liblua5.2-0 libmad0 libmatroska7 libmd4c0 libmetis5 libmng1 libmpcdec6 libmpeg2-4
  libmtp-common libmtp9 libmypaint-1.5-1 libmypaint-common libmysofa1 libnfs13 libnorm1 libopenexr25
  libopenmpt-modplug1 libopenmpt0 libpaper1 libpathplan4 libpcap0.8 libpgm-5.3-0 libplacebo72
  libpoppler-glib8 libpoppler102 libpostproc55 libprotobuf-lite23 libqt5core5a libqt5dbus5 libqt5gui5
  libqt5network5 libqt5svg5 libqt5widgets5 libqt5x11extras5 librabbitmq4 libraw20 libresid-builder0c2a
  librubberband2 libsdl-image1.2 libsdl1.2debian libsdl2-2.0-0 libserd-0-0 libsidplay2 libsodium23
  libsord-0-0 libspatialaudio0 libsratom-0-0 libsrt1.4-gnutls libssh-gcrypt-4 libsuitesparseconfig5
  libswscale5 libudfread0 libupnp13 libusageenvironment3 libvidstab1.1 libvlc-bin libvlc5 libvlccore9
  libwmf0.2-7 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0
  libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxcb-xv0 libxkbcommon-x11-0 libzmq5 lua-lpeg nmap-common
  poppler-data vlc-bin vlc-data vlc-plugin-qt vlc-plugin-video-output
Use 'sudo apt autoremove' to remove them.
The following packages will be REMOVED:
  gimp libatlas3-base libavfilter7 libblas3 libcholmod3 libgegl-0.4-0 libgimp2.0 liblapack3 liblinear4
  libpocketsphinx3 libsphinxbase3 libumfpack5 nmap vlc vlc-plugin-base
0 upgraded, 0 newly installed, 15 to remove and 0 not upgraded.
After this operation, 68.7 MB disk space will be freed.
Do you want to continue? [Y/n] n
Abort.
</pre></html></WRAP>
</WRAP>

<WRAP color_term>
<WRAP color_command><html><pre>
$ sudo apt install libatlas-base-dev
</pre></html></WRAP>
<WRAP color_result_long><html><pre>
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
The following additional packages will be installed:
  libatlas3-base
Suggested packages:
  libatlas-doc liblapack-doc
The following NEW packages will be installed:
  libatlas-base-dev libatlas3-base
0 upgraded, 2 newly installed, 0 to remove and 0 not upgraded.
Need to get 5,055 kB of archives.
After this operation, 26.5 MB of additional disk space will be used.
Do you want to continue? [Y/n] y
Get:1 http://raspbian.raspberrypi.org/raspbian bullseye/main armhf libatlas3-base armhf 3.10.3-10+rpi1 [2,454 kB]
Get:2 http://raspbian.raspberrypi.org/raspbian bullseye/main armhf libatlas-base-dev armhf 3.10.3-10+rpi1 [2,601 kB]
Fetched 5,055 kB in 19s (265 kB/s)
debconf: delaying package configuration, since apt-utils is not installed
Selecting previously unselected package libatlas3-base:armhf.
(Reading database ... 75272 files and directories currently installed.)
Preparing to unpack .../libatlas3-base_3.10.3-10+rpi1_armhf.deb ...
Unpacking libatlas3-base:armhf (3.10.3-10+rpi1) ...
Selecting previously unselected package libatlas-base-dev:armhf.
Preparing to unpack .../libatlas-base-dev_3.10.3-10+rpi1_armhf.deb ...
Unpacking libatlas-base-dev:armhf (3.10.3-10+rpi1) ...
Setting up libatlas3-base:armhf (3.10.3-10+rpi1) ...
update-alternatives: using /usr/lib/arm-linux-gnueabihf/atlas/libblas.so.3 to provide /usr/lib/arm-linux-gnueabihf/libblas.so.3 (libblas.so.3-arm-linux-gnueabihf) in auto mode
update-alternatives: using /usr/lib/arm-linux-gnueabihf/atlas/liblapack.so.3 to provide /usr/lib/arm-linux-gnueabihf/liblapack.so.3 (liblapack.so.3-arm-linux-gnueabihf) in auto mode
Setting up libatlas-base-dev:armhf (3.10.3-10+rpi1) ...
update-alternatives: using /usr/lib/arm-linux-gnueabihf/atlas/libblas.so to provide /usr/lib/arm-linux-gnueabihf/libblas.so (libblas.so-arm-linux-gnueabihf) in auto mode
update-alternatives: using /usr/lib/arm-linux-gnueabihf/atlas/liblapack.so to provide /usr/lib/arm-linux-gnueabihf/liblapack.so (liblapack.so-arm-linux-gnueabihf) in auto mode
Processing triggers for libc-bin (2.31-13+rpt2+rpi1+deb11u3) ...
</pre></html></WRAP>
</WRAP>

<WRAP color_term>
<WRAP color_command><html><pre>
$ jupyter serverextension list
</pre></html></WRAP>
<WRAP color_result><html><pre>
config dir: /home/dietpi/pyJupyterLab/etc/jupyter
    jupyter_server_proxy  enabled 
    - Validating...
      jupyter_server_proxy  OK
    jupyterlab  enabled 
    - Validating...
      jupyterlab 3.4.5 OK
    voila.server_extension  enabled 
    - Validating...
      voila.server_extension  OK
</pre></html></WRAP>

<WRAP color_command><html><pre>
(pyJupyterLab) dietpi@dietpi-001:~$ jupyter labextension list
</pre></html></WRAP>
<WRAP color_result><html><pre>
JupyterLab v3.4.5
/home/dietpi/pyJupyterLab/share/jupyter/labextensions
        jupyterlab-nvdashboard v0.7.0 enabled OK (python, jupyterlab_nvdashboard)
        @voila-dashboards/jupyterlab-preview v2.1.6 enabled OK (python, voila)
        @jupyterlab/server-proxy v3.2.1 enabled OK
</pre></html></WRAP>
</WRAP>

===== 参考文献 =====
[[https://numpy.org/devdocs/user/troubleshooting-importerror.html#raspberry-pi|Troubleshooting ImportError(Raspberry Pi) - NumPy v1.24.dev0 Manual]]\\
[[http://verifiedby.me/adiary/058|ubuntu 14.04でBLASを使う - kashiの日記]]\\
[[http://azalea.s35.xrea.com/blas/whatIsBlas.html|BLASの簡単な使い方]]\\
[[https://netlib.org/blas/|BLAS (Basic Linear Algebra Subprograms)]]\\

==== 付録 ====
[[tw>tomoyan596sp/status/1567123905932050434|Raspberry Piのnumpyは…🤔pip install numpyしただけでは動かない😅]]\\