I can't install llvmlite on raspberry pi 4

[Firemanpl]

pi@raspberrypi:~$ pip3 install llvmlite
Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
Collecting llvmlite
  Using cached https://files.pythonhosted.org/packages/71/4e/b1086722f4fa0b52cf8c0d4b2c985fb3f95d2f1be1b010259497b2464c1d/llvmlite-0.33.0.tar.gz
Building wheels for collected packages: llvmlite
  Running setup.py bdist_wheel for llvmlite ... error
  Complete output from command /usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-install-sdekp53y/llvmlite/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d /tmp/pip-wheel-ikvvuryb --python-tag cp37:
  running bdist_wheel
  /usr/bin/python3 /tmp/pip-install-sdekp53y/llvmlite/ffi/build.py
  LLVM version... Traceback (most recent call last):
    File "/tmp/pip-install-sdekp53y/llvmlite/ffi/build.py", line 105, in main_posix
      out = subprocess.check_output([llvm_config, '--version'])
    File "/usr/lib/python3.7/subprocess.py", line 395, in check_output
      **kwargs).stdout
    File "/usr/lib/python3.7/subprocess.py", line 472, in run
      with Popen(*popenargs, **kwargs) as process:
    File "/usr/lib/python3.7/subprocess.py", line 775, in __init__
      restore_signals, start_new_session)
    File "/usr/lib/python3.7/subprocess.py", line 1522, in _execute_child
      raise child_exception_type(errno_num, err_msg, err_filename)
  FileNotFoundError: [Errno 2] No such file or directory: 'llvm-config': 'llvm-config'
  
  During handling of the above exception, another exception occurred:
  
  Traceback (most recent call last):
    File "/tmp/pip-install-sdekp53y/llvmlite/ffi/build.py", line 191, in <module>
      main()
    File "/tmp/pip-install-sdekp53y/llvmlite/ffi/build.py", line 181, in main
      main_posix('linux', '.so')
    File "/tmp/pip-install-sdekp53y/llvmlite/ffi/build.py", line 108, in main_posix
      "to the path for llvm-config" % (llvm_config,))
  RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config
  error: command '/usr/bin/python3' failed with exit status 1
  
  ----------------------------------------
  Failed building wheel for llvmlite
  Running setup.py clean for llvmlite
Failed to build llvmlite
Installing collected packages: llvmlite
  Running setup.py install for llvmlite ... error
    Complete output from command /usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-install-sdekp53y/llvmlite/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-record-8zgcbwp0/install-record.txt --single-version-externally-managed --compile --user --prefix=:
    running install
    running build
    got version from file /tmp/pip-install-sdekp53y/llvmlite/llvmlite/_version.py {'version': '0.33.0', 'full': '76c8ecba36e23fa8b6878505a1afc8a3d7a2c8a1'}
    running build_ext
    /usr/bin/python3 /tmp/pip-install-sdekp53y/llvmlite/ffi/build.py
    LLVM version... Traceback (most recent call last):
      File "/tmp/pip-install-sdekp53y/llvmlite/ffi/build.py", line 105, in main_posix
        out = subprocess.check_output([llvm_config, '--version'])
      File "/usr/lib/python3.7/subprocess.py", line 395, in check_output
        **kwargs).stdout
      File "/usr/lib/python3.7/subprocess.py", line 472, in run
        with Popen(*popenargs, **kwargs) as process:
      File "/usr/lib/python3.7/subprocess.py", line 775, in __init__
        restore_signals, start_new_session)
      File "/usr/lib/python3.7/subprocess.py", line 1522, in _execute_child
        raise child_exception_type(errno_num, err_msg, err_filename)
    FileNotFoundError: [Errno 2] No such file or directory: 'llvm-config': 'llvm-config'
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "/tmp/pip-install-sdekp53y/llvmlite/ffi/build.py", line 191, in <module>
        main()
      File "/tmp/pip-install-sdekp53y/llvmlite/ffi/build.py", line 181, in main
        main_posix('linux', '.so')
      File "/tmp/pip-install-sdekp53y/llvmlite/ffi/build.py", line 108, in main_posix
        "to the path for llvm-config" % (llvm_config,))
    RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config
    error: command '/usr/bin/python3' failed with exit status 1
    
    ----------------------------------------
Command "/usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-install-sdekp53y/llvmlite/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-record-8zgcbwp0/install-record.txt --single-version-externally-managed --compile --user --prefix=" failed with error code 1 in /tmp/pip-install-sdekp53y/llvmlite/
pi@raspberrypi:~$ 

[pwuertz]

See this line:

RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config

Ubuntu does not provide a default llvm-config command. All llvm dev packages provide version suffixed commands like llvm-config-8 or llvm-config-8. You must tell setup.py which one to use, e.g.:

LLVM_CONFIG=llvm-config-9 python setup.py build

[esc]

@Firemanpl following up, did the suggestion from @pwuertz help at all? @pwuertz thanks for making that suggestion.

[pwuertz]

I'm using Numba on the Raspi4 too by the way, works like a charm.

[dails08]

Is LLVM_CONFIG supposed to be an environment variable? Setting it doesn't seem to inform the pip3 process (at whatever step it matters).

[pwuertz]

@dails08 Yes, it's an ENV variable read by the setup.py build step (see the command line above for a working example). Never used pip for building Numba though. Does pip execute builds in an isolated ENV? If you want pip to manage the module, you could use python setup.py bdist_wheel to build a .whl and install that one with pip.

[dails08]

A closer look at my error suggests I have a non-arm version of llvm-config:

OSError: [Errno 8] Exec format error: '/usr/bin/llvm-config'

I'll redo the installation with a closer eye and see where my misstep is. This is a different issue than op, so if I can't figure it out on the retry, I'll open another issue. Thanks!

[dails08]

Oh, looks like this is covered by #314

[JanLahmann]

FWIW, on an RPi4 with Raspbian Buster, the following worked for me to install llvmlite:
sudo apt install llvm-9
LLVM_CONFIG=llvm-config-9 pip install llvmlite

[esc]

@JanLahmann thanks for providing this suggestion. I recently got some more time to look into the build system for llvmlite and get some more experience on how to install on RasPi 4.

While the suggestion to use a distribution based LLVM (installing with apt) largely works (compiles fine, most of the tests pass etc..), it is important to remember that llvmlite and numba require a specialized build of LLVM which carries a number of custom patches. You can read more about building an appropriate LLVM here:

https://llvmlite.readthedocs.io/en/latest/admin-guide/install.html#compiling-llvm

I should also note, that we do provide pre-compiled binaries of the Numba/llvmlitestack asconda` packages which should be reasonably painless to install on RasPi 4. More information can be found here:

https://numba.pydata.org/numba-doc/latest/user/installing.html#installing-on-linux-armv8-aarch64-platforms

I will now close this issue, since I believe it has been largely resolved. Should you encounter any similar snags in future, please don't hesitate to open a new issue! Best wishes and thanks for using Numba!

[joem5636]

I was trying to install librosa on my RPi 4+ and found the following:

After many paths tried, I finally was able to install on Raspberry Pi 4+. It was necessary, I think, to install LLVM even though llvmlite says not -- to do that required 'sudo apt-get install llvm-9*' since the default is 7.0 and llvmlite requires 9 or 10. Then, to install llvmlite required adding an environment variable as in 'LLVM_CONFIG=llvm-config-9 pip3 install llvmlite' and then 'LLVM_CONFIG=llvm-config-9 pip3 install librosa' .

[esc]

@joem5636 interesting. I am curious, is it possible to run the librosa test suite to ensure that librosa does indeed function correctly?

[joem5636]

I didn't find the test suite. I'm running the examples and for the plot_chroma example I get no output and the (apparently erroneous as I have version 4.4 of colorama) message: /home/pi/.local/lib/python3.7/site-packages/numba/core/errors.py:154: UserWarning: Insufficiently recent colorama version found. Numba requires colorama >= 0.3.9 warnings.warn(msg) plot_display, same warning; also no output but seems to have run and downloaded two songs. plot_hprss -- same warning, no output I looked at generating the tests, but needing MATLAB and a bunch of other things was just too much.

…

On Fri, Jan 22, 2021 at 4:25 PM esc ***@***.***> wrote: @joem5636 <https://github.com/joem5636> interesting. I am curious, is it possible to run the librosa test suite to ensure that librosa does indeed function correctly? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#604 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AASZUVQUC6DZAVV5ZJFXCVDS3HUNJANCNFSM4OP45XMQ> .

-- Best regards, Joe

[esc]

@joem5636 OK, thanks for following up. Just to clarify, you do expect output from the code you ran?

[joem5636]

I was able to run several examples and wrote my own pitch_switch.py one after the time one. I do get a warning about PyAudio for some reason.

…

On Tue, Jan 26, 2021, 11:44 AM esc ***@***.***> wrote: @joem5636 <https://github.com/joem5636> OK, thanks for following up. Just to clarify, you do expect output from the code you ran? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#604 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AASZUVTGY4SIVDSB2QXBWQ3S33WNNANCNFSM4OP45XMQ> .

[pifparfait]

FWIW, on an RPi4 with Raspbian Buster, the following worked for me to install llvmlite:
sudo apt install llvm-9
LLVM_CONFIG=llvm-config-9 pip install llvmlite

Dear @JanLahmann
I got the same problem while installing pip qiskit-machine-learning on my Raspberry Pi 4, with ARM64. Any Idea? I follow your suggested step. > sudo apt install llvm-9

LLVM_CONFIG=llvm-config-9 pip install llvmlite

The output message is:
pip3 install qiskit-machine-learning
Defaulting to user installation because normal site-packages is not writeable
Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
Collecting qiskit-machine-learning
Using cached https://www.piwheels.org/simple/qiskit-machine-learning/qiskit_machine_learning-0.1.0-py3-none-any.whl (84 kB)
Requirement already satisfied: setuptools>=40.1.0 in /usr/local/lib/python3.7/dist-packages (from qiskit-machine-learning) (56.0.0)
Requirement already satisfied: psutil>=5 in /usr/lib/python3/dist-packages (from qiskit-machine-learning) (5.5.1)
Requirement already satisfied: scikit-learn>=0.20.0 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-machine-learning) (0.24.1)
Requirement already satisfied: scipy>=1.4 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-machine-learning) (1.6.1)
Requirement already satisfied: qiskit-terra>=0.17.0 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-machine-learning) (0.17.1)
Requirement already satisfied: fastdtw in /home/pi/.local/lib/python3.7/site-packages (from qiskit-machine-learning) (0.3.4)
Collecting sparse
Using cached https://www.piwheels.org/simple/sparse/sparse-0.12.0-py2.py3-none-any.whl (76 kB)
Requirement already satisfied: numpy>=1.17 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-machine-learning) (1.19.2)
Requirement already satisfied: retworkx>=0.8.0 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-terra>=0.17.0->qiskit-machine-learning) (0.8.0)
Requirement already satisfied: jsonschema>=2.6 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-terra>=0.17.0->qiskit-machine-learning) (2.6.0)
Requirement already satisfied: python-dateutil>=2.8.0 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-terra>=0.17.0->qiskit-machine-learning) (2.8.1)
Requirement already satisfied: python-constraint>=1.4 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-terra>=0.17.0->qiskit-machine-learning) (1.4.0)
Requirement already satisfied: dill>=0.3 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-terra>=0.17.0->qiskit-machine-learning) (0.3.3)
Requirement already satisfied: ply>=3.10 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-terra>=0.17.0->qiskit-machine-learning) (3.11)
Requirement already satisfied: sympy>=1.3 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-terra>=0.17.0->qiskit-machine-learning) (1.7.1)
Requirement already satisfied: fastjsonschema>=2.10 in /home/pi/.local/lib/python3.7/site-packages (from qiskit-terra>=0.17.0->qiskit-machine-learning) (2.15.0)
Requirement already satisfied: six>=1.5 in /home/pi/.local/lib/python3.7/site-packages (from python-dateutil>=2.8.0->qiskit-terra>=0.17.0->qiskit-machine-learning) (1.15.0)
Requirement already satisfied: joblib>=0.11 in /home/pi/.local/lib/python3.7/site-packages (from scikit-learn>=0.20.0->qiskit-machine-learning) (1.0.1)
Requirement already satisfied: threadpoolctl>=2.0.0 in /home/pi/.local/lib/python3.7/site-packages (from scikit-learn>=0.20.0->qiskit-machine-learning) (2.1.0)
Requirement already satisfied: mpmath>=0.19 in /home/pi/.local/lib/python3.7/site-packages (from sympy>=1.3->qiskit-terra>=0.17.0->qiskit-machine-learning) (1.2.1)
Collecting numba>=0.49
Using cached numba-0.53.1-cp37-cp37m-linux_aarch64.whl
Collecting llvmlite<0.37,>=0.36.0rc1
Using cached llvmlite-0.36.0.tar.gz (126 kB)
Building wheels for collected packages: llvmlite
Building wheel for llvmlite (setup.py) ... error
ERROR: Command errored out with exit status 1:
command: /usr/bin/python3 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/setup.py'"'"'; file='"'"'/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-7pabyjlu
cwd: /tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/
Complete output (11 lines):
running bdist_wheel
/usr/bin/python3 /tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/ffi/build.py
LLVM version... Traceback (most recent call last):
File "/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/ffi/build.py", line 220, in
main()
File "/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/ffi/build.py", line 210, in main
main_posix('linux', '.so')
File "/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/ffi/build.py", line 134, in main_posix
raise RuntimeError(msg) from None
RuntimeError: Could not find a llvm-config binary. There are a number of reasons this could occur, please see: https://llvmlite.readthedocs.io/en/latest/admin-guide/install.html#using-pip for help.
error: command '/usr/bin/python3' failed with exit status 1

ERROR: Failed building wheel for llvmlite
Running setup.py clean for llvmlite
Failed to build llvmlite
Installing collected packages: llvmlite, numba, sparse, qiskit-machine-learning
Running setup.py install for llvmlite ... error
ERROR: Command errored out with exit status 1:
command: /usr/bin/python3 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/setup.py'"'"'; file='"'"'/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record /tmp/pip-record-vospnj7h/install-record.txt --single-version-externally-managed --user --prefix= --compile --install-headers /home/pi/.local/include/python3.7m/llvmlite
cwd: /tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/
Complete output (14 lines):
running install
running build
got version from file /tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/llvmlite/_version.py {'version': '0.36.0', 'full': 'e6bb8d137d922bec8beeb01a237254778759becd'}
running build_ext
/usr/bin/python3 /tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/ffi/build.py
LLVM version... Traceback (most recent call last):
File "/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/ffi/build.py", line 220, in
main()
File "/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/ffi/build.py", line 210, in main
main_posix('linux', '.so')
File "/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/ffi/build.py", line 134, in main_posix
raise RuntimeError(msg) from None
RuntimeError: Could not find a llvm-config binary. There are a number of reasons this could occur, please see: https://llvmlite.readthedocs.io/en/latest/admin-guide/install.html#using-pip for help.
error: command '/usr/bin/python3' failed with exit status 1
----------------------------------------
ERROR: Command errored out with exit status 1: /usr/bin/python3 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/setup.py'"'"'; file='"'"'/tmp/pip-install-dj4f9r32/llvmlite_f4a69029b36c4268b746a0194ae57a5a/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record /tmp/pip-record-vospnj7h/install-record.txt --single-version-externally-managed --user --prefix= --compile --install-headers /home/pi/.local/include/python3.7m/llvmlite Check the logs for full command output.

[JanLahmann]

Hi @pifparfait , unfortunately I have no experience with the 64bit OS in Raspberry Pi.
Maybe the issue is that it should read pip3 instead of pip in the following command:
LLVM_CONFIG=llvm-config-9 pip3 install llvmlite
(at the time of posting the above workaround, we were using a virtualenv on RasQberry, for which pip was correct. But that has changed since then.)

[pifparfait]

I have already tried with pip3 but without success.

On Mon, 19 Apr 2021 at 22:26, JanLahmann ***@***.***> wrote: Hi @pifparfait <https://github.com/pifparfait> , unfortunately I have no experience with the 64bit OS in Raspberry Pi. Maybe the issue is that it should read pip3 instead of pip in the following command: LLVM_CONFIG=llvm-config-9 pip3 install llvmlite (at the time of posting the above workaround, we were using a virtualenv on RasQberry, for which pip was correct. But that has changed since then.) — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#604 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGKQN3ZKCBLN5NHYJ3ZIT23TJSGY3ANCNFSM4OP45XMQ> .

-- *Parfait Atchadé* *Tel Spain: 0034661205543* *Tel Deutsch: 00491706659017*

[JanLahmann]

For some reason the system is trying to build and install llvmlite.
"Collecting llvmlite<0.37,>=0.36.0rc1 "
This should not happen if it installed successfully before with pip3 install llvmlite.
Maybe the pip3 install did not install the required version?
In case this does not solve the issue: could you please post the complete install log with commands and output?

[pwuertz]

Side note: Ubuntu 21.04 for ARM64 / Raspi has llvmlite 0.35 and numba 0.52 now in the apt repository.

[esc]

Additional side note: using system provided LLVM packages isn't recommended and you can read more about this here: https://llvmlite.readthedocs.io/en/latest/admin-guide/install.html#what-to-be-aware-of-when-using-a-system-provided-llvm-package --

[pifparfait]

Side note: Ubuntu 21.04 for ARM64 / Raspi has llvmlite 0.35 and numba 0.52 now in the apt repository.

@pwuertz what you mean by that? I understood from @esc that pip installation of binary wheels on aarch64 isn't supported yet. Only use conda as a workaround until #665 is completed. But for what I'm doing I guess I can't use it.

[pifparfait]

For some reason the system is trying to build and install llvmlite.
"Collecting llvmlite<0.37,>=0.36.0rc1 "
This should not happen if it installed successfully before with pip3 install llvmlite.
Maybe the pip3 install did not install the required version?
In case this does not solve the issue: could you please post the complete install log with commands and output?

@JanLahmann you are right, pip is not installing the package. @esc posted that to me. And suggested to me to use conda, but what I heard, is that for your work Rasqberry, you discouraged using conda. Don't you?. Nevertheless here you have the output message:

pi@raspberrypi:~/rasqberry/libcint/build $ LLVM_CONFIG=llvm-config-9 pip3 install llvmlite
Defaulting to user installation because normal site-packages is not writeable
Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
Requirement already satisfied: llvmlite in /usr/lib/python3/dist-packages (0.27.0)

[JanLahmann]

Hi @pifparfait , I'm not sure why it complains about missing llvmlite, although llvmlite seems to be installed.
Could you provide the complete terminal log when trying to install qiskit and the output of pip3 list?
I'd recommend to install the qiskit modules one by one, starting with terra, aer, qiskit, and then the additional modules like qiskit-machine-learning.

[pifparfait]

Hi @JanLahmann,

I provide you with the requested information.
Yes, I already managed to install qiskit 0.25.
qiskit 0.25.1
qiskit-aer 0.8.1
qiskit-aqua 0.9.1
qiskit-finance 0.1.0
qiskit-ibmq-provider 0.12.2
qiskit-ignis 0.6.0
qiskit-nature 0.1.1
qiskit-optimization 0.1.0
qiskit-terra 0.17.1

What I have not been able to install is qiskit-machine-learning because it gives me the shared error. When it appears, I think it tries to install llvmlite-0.36 and does not succeed, so it breaks the installation.

pi@raspberrypi:~/rasqberry/libcint/build $ python3 -m pip list

Package                         Version

---

absl-py                         0.12.0
amazon-braket-default-simulator 1.1.1.post2
amazon-braket-pennylane-plugin  1.1.0.post1
amazon-braket-schemas           1.1.3
amazon-braket-sdk               1.5.15
appdirs                         1.4.4
argon2-cffi                     20.1.0
asn1crypto                      0.24.0
astroid                         2.1.0
asttokens                       1.1.13
astunparse                      1.6.3
async-generator                 1.10
attrs                           20.3.0
autograd                        1.3
automationhat                   0.2.0
backcall                        0.2.0
backoff                         1.10.0
beautifulsoup4                  4.7.1
bleach                          3.3.0
blinker                         1.4
blinkt                          0.1.2
boltons                         20.2.1
boto3                           1.17.53
botocore                        1.20.53
bottle                          0.12.19
buttonshim                      0.0.2
cachetools                      4.2.1
Cap1xxx                         0.1.3
certifi                         2018.8.24
cffi                            1.14.5
chardet                         3.0.4
cirq                            0.10.0
Click                           7.0
colorama                        0.3.7
colorzero                       1.1
conan                           1.35.1
cookies                         2.2.1
cryptography                    2.6.1
cupshelpers                     1.0
cycler                          0.10.0
Cython                          0.29.21
decorator                       4.3.0
defusedxml                      0.7.1
deprecation                     2.0.7
dill                            0.3.3
distro                          1.5.0
dlx                             1.0.4
docplex                         2.20.204
docutils                        0.14
drumhat                         0.1.0
entrypoints                     0.3
envirophat                      1.0.0
ExplorerHAT                     0.4.2
fastdtw                         0.3.4
fasteners                       0.16
fastjsonschema                  2.15.0
filelock                        3.0.12
Flask                           1.0.2
fourletterphat                  0.1.0
future                          0.18.2
gast                            0.3.3
gdown                           3.12.2
google-api-core                 1.26.3
google-auth                     1.29.0
google-auth-oauthlib            0.4.4
google-pasta                    0.2.0
googleapis-common-protos        1.53.0
gpiozero                        1.5.1
grpcio                          1.37.0
h5py                            2.10.0
html5lib                        1.0.1
idna                            2.6
importlib-metadata              3.10.1
inflection                      0.5.1
ipykernel                       5.5.3
ipython                         7.22.0
ipython-genutils                0.2.0
ipywidgets                      7.6.3
isort                           4.3.4
itsdangerous                    0.24
jedi                            0.18.0
Jinja2                          2.10
jmespath                        0.10.0
joblib                          1.0.1
jsonschema                      2.6.0
jupyter                         1.0.0
jupyter-client                  6.2.0
jupyter-console                 6.4.0
jupyter-core                    4.7.1
jupyterlab-pygments             0.1.2
jupyterlab-widgets              1.0.0
Keras-Preprocessing             1.1.2
keyring                         17.1.1
keyrings.alt                    3.1.1
kiwisolver                      1.3.1
lazy-object-proxy               1.3.1
llvmlite                        0.27.0
logilab-common                  1.4.2
lxml                            4.6.3
Markdown                        3.3.4
MarkupSafe                      1.1.0
marshmallow                     2.21.0
marshmallow-polyfield           3.2
matplotlib                      3.4.1
mccabe                          0.6.1
microdotphat                    0.2.1
mistune                         0.8.4
more-itertools                  8.7.0
mote                            0.0.4
motephat                        0.0.3
mpmath                          1.2.1
multitasking                    0.0.9
mypy                            0.670
mypy-extensions                 0.4.1
nbclient                        0.5.3
nbconvert                       5.4.1
nbformat                        5.1.3
nest-asyncio                    1.5.1
networkx                        2.5.1
node-semver                     0.6.1
notebook                        6.3.0
ntlm-auth                       1.5.0
numpy                           1.19.2
oauthlib                        2.1.0
olefile                         0.46
openfermion                     1.0.1
openfermionpsi4                 0.5
openfermionpyscf                0.2
opt-einsum                      3.3.0
packaging                       20.9
pandas                          1.2.3
pandocfilters                   1.4.3
pantilthat                      0.0.7
parso                           0.8.2
patch-ng                        1.17.4
PennyLane                       0.14.1
pexpect                         4.6.0
pgzero                          1.2
phatbeat                        0.1.1
pianohat                        0.1.0
pickleshare                     0.7.5
piglow                          1.2.5
pigpio                          1.78
Pillow                          8.2.0
pip                             21.0.1
plotly                          4.14.3
pluginbase                      1.0.0
ply                             3.11
prometheus-client               0.10.1
prompt-toolkit                  3.0.18
protobuf                        3.13.0
psutil                          5.5.1
ptyprocess                      0.7.0
PubChemPy                       1.0.4
pyasn1                          0.4.8
pyasn1-modules                  0.2.8
pybind11                        2.6.2
pycairo                         1.16.2
pycparser                       2.20
pycrypto                        2.6.1
pycups                          1.9.73
pydantic                        1.8.1
pydot                           1.4.2
pygame                          1.9.4.post1
Pygments                        2.8.1
PyGObject                       3.30.4
pyinotify                       0.9.6
PyJWT                           1.7.0
pylatexenc                      2.10
pylint                          2.2.2
pyOpenSSL                       19.0.0
pyparsing                       2.4.7
pyrsistent                      0.17.3
pyserial                        3.4
pysmbc                          1.0.15.6
PySocks                         1.7.1
python-apt                      1.8.4.3
python-constraint               1.4.0
python-dateutil                 2.8.1
pytz                            2021.1
pyxdg                           0.25
PyYAML                          5.4.1
pyzmq                           22.0.3
qiskit                          0.25.1
qiskit-aer                      0.8.1
qiskit-aqua                     0.9.1
qiskit-finance                  0.1.0
qiskit-ibmq-provider            0.12.2
qiskit-ignis                    0.6.0
qiskit-nature                   0.1.1
qiskit-optimization             0.1.0
qiskit-terra                    0.17.1
qtconsole                       5.0.3
QtPy                            1.9.0
Quandl                          3.6.0
rainbowhat                      0.1.0
reportlab                       3.5.13
requests                        2.25.1
requests-ntlm                   1.1.0
requests-oauthlib               1.0.0
responses                       0.9.0
retrying                        1.3.3
retworkx                        0.8.0
roman                           2.0.0
RPi.GPIO                        0.7.0
rsa                             4.7.2
RTIMULib                        7.2.1
s3transfer                      0.3.7
scikit-build                    0.11.1
scikit-learn                    0.24.1
scipy                           1.6.1
scrollphat                      0.0.7
scrollphathd                    1.2.1
seaborn                         0.11.1
SecretStorage                   2.3.1
semantic-version                2.6.0
Send2Trash                      1.5.0
sense-hat                       2.2.0
setuptools                      56.0.0
simplejson                      3.16.0
six                             1.15.0
skywriter                       0.0.7
sn3218                          1.2.7
sortedcontainers                2.3.0
soupsieve                       1.8
spidev                          3.4
ssh-import-id                   5.7
sympy                           1.7.1
tensorboard                     2.4.1
tensorboard-plugin-wit          1.8.0
tensorflow                      2.3.1
tensorflow-estimator            2.3.0
termcolor                       1.1.0
terminado                       0.9.4
testpath                        0.4.4
thonny                          3.3.6
threadpoolctl                   2.1.0
toml                            0.10.2
tornado                         6.1
touchphat                       0.0.1
tqdm                            4.60.0
traitlets                       5.0.5
twython                         3.7.0
typed-ast                       1.3.1
typing-extensions               3.7.4.3
unicornhathd                    0.0.4
urllib3                         1.26.4
wcwidth                         0.2.5
webencodings                    0.5.1
websockets                      8.1
Werkzeug                        0.14.1
wheel                           0.32.3
widgetsnbextension              3.5.1
wrapt                           1.12.1
yfinance                        0.1.55
zipp                            3.4.1

And outdated:

pi@raspberrypi:~/rasqberry/libcint/build $ python3 -m pip list --outdated
Package Version Latest Type

---

asn1crypto 0.24.0 1.4.0 wheel
astroid 2.1.0 2.5.3 wheel
asttokens 1.1.13 2.0.5 wheel
automationhat 0.2.0 0.2.2 wheel
beautifulsoup4 4.7.1 4.9.3 wheel
boto3 1.17.53 1.17.54 wheel
botocore 1.20.53 1.20.54 wheel
certifi 2018.8.24 2020.12.5 wheel
chardet 3.0.4 4.0.0 wheel
Click 7.0 7.1.2 wheel
colorama 0.3.7 0.4.4 wheel
colorzero 1.1 2.0 wheel
conan 1.35.1 1.35.2 wheel
cryptography 2.6.1 3.4.7 wheel
Cython 0.29.21 0.29.23 wheel
decorator 4.3.0 5.0.7 wheel
deprecation 2.0.7 2.1.0 wheel
docutils 0.14 0.17.1 wheel
envirophat 1.0.0 1.0.1 wheel
Flask 1.0.2 1.1.2 wheel
gast 0.3.3 0.4.0 wheel
gpiozero 1.5.1 1.6.2 wheel
h5py 2.10.0 3.2.1 sdist
html5lib 1.0.1 1.1 wheel
idna 2.6 3.1 wheel
importlib-metadata 3.10.1 4.0.1 wheel
isort 4.3.4 5.8.0 wheel
itsdangerous 0.24 1.1.0 wheel
Jinja2 2.10 2.11.3 wheel
jsonschema 2.6.0 3.2.0 wheel
keyring 17.1.1 23.0.1 wheel
keyrings.alt 3.1.1 4.0.2 wheel
lazy-object-proxy 1.3.1 1.6.0 wheel
llvmlite 0.27.0 0.36.0 sdist
logilab-common 1.4.2 1.8.1 wheel
MarkupSafe 1.1.0 1.1.1 wheel
marshmallow 2.21.0 3.11.1 wheel
marshmallow-polyfield 3.2 5.10 wheel
mypy 0.670 0.812 wheel
mypy-extensions 0.4.1 0.4.3 wheel
nbconvert 5.4.1 6.0.7 wheel
node-semver 0.6.1 0.8.0 wheel
numpy 1.19.2 1.20.2 wheel
oauthlib 2.1.0 3.1.0 wheel
openfermionpyscf 0.2 0.5 wheel
pandas 1.2.3 1.2.4 sdist
PennyLane 0.14.1 0.15.0 wheel
pexpect 4.6.0 4.8.0 wheel
pgzero 1.2 1.2.1 wheel
protobuf 3.13.0 3.15.8 wheel
psutil 5.5.1 5.8.0 sdist
pycairo 1.16.2 1.20.0 sdist
pycups 1.9.73 2.0.1 sdist
pygame 1.9.4.post1 2.0.1 sdist
PyGObject 3.30.4 3.40.1 sdist
PyJWT 1.7.0 2.0.1 wheel
pylint 2.2.2 2.7.4 wheel
pyOpenSSL 19.0.0 20.0.1 wheel
pyserial 3.4 3.5 wheel
pysmbc 1.0.15.6 1.0.23 sdist
pyxdg 0.25 0.27 wheel
qiskit-ibmq-provider 0.12.2 0.12.3 wheel
Quandl 3.6.0 3.6.1 wheel
reportlab 3.5.13 3.5.67 sdist
requests-oauthlib 1.0.0 1.3.0 wheel
responses 0.9.0 0.13.2 wheel
roman 2.0.0 3.3 wheel
s3transfer 0.3.7 0.4.0 wheel
scipy 1.6.1 1.6.2 wheel
SecretStorage 2.3.1 3.3.1 wheel
semantic-version 2.6.0 2.8.5 wheel
simplejson 3.16.0 3.17.2 wheel
soupsieve 1.8 2.2.1 wheel
spidev 3.4 3.5 sdist
ssh-import-id 5.7 5.11 wheel
sympy 1.7.1 1.8 wheel
tensorboard 2.4.1 2.5.0 wheel
tensorflow-estimator 2.3.0 2.4.0 wheel
twython 3.7.0 3.8.2 wheel
typed-ast 1.3.1 1.4.3 wheel
Werkzeug 0.14.1 1.0.1 wheel
wheel 0.32.3 0.36.2 wheel
yfinance 0.1.55 0.1.59 wheel

Hi @pifparfait , I'm not sure why it complains about missing llvmlite, although llvmlite seems to be installed.
Could you provide the complete terminal log when trying to install qiskit and the output of pip3 list?
I'd recommend to install the qiskit modules one by one, starting with terra, aer, qiskit, and then the additional modules like qiskit-machine-learning.

[FardowsaRoble]

To solve this issue: I installed LLVM 11 because the llvm was not configured to the right path ("RuntimeError: Building llvmlite requires LLVM 11.x.x, got '9.0.1'. Be sure to set LLVM_CONFIG to the right executable path.") -- This is the Error I got.

Solution:
1: sudo apt install llvm-11
2: LLVM_CONFIG=llvm-config-11 pip3 install llvmlite
3: LLVM_CONFIG=llvm-config-11 pip3 install librosa

Result I got: "Successfully installed librosa-0.9.2 llvmlite-0.39.0 numba-0.56.0 resampy-0.3.1"

Hope this helps

[esc]

To solve this issue: I installed LLVM 11 because the llvm was not configured to the right path ("RuntimeError: Building llvmlite requires LLVM 11.x.x, got '9.0.1'. Be sure to set LLVM_CONFIG to the right executable path.") -- This is the Error I got.

Solution: 1: sudo apt install llvm-11 2: LLVM_CONFIG=llvm-config-11 pip3 install llvmlite 3: LLVM_CONFIG=llvm-config-11 pip3 install librosa

Result I got: "Successfully installed librosa-0.9.2 llvmlite-0.39.0 numba-0.56.0 resampy-0.3.1"

Hope this helps

Question: llvmlite now has pre-compiled, binary wheels for linux-aarch64, which is Raspberry-PI. What was the reason for not using these and compiling from source?

[bOOt3r]

To solve this issue: I installed LLVM 11 because the llvm was not configured to the right path ("RuntimeError: Building llvmlite requires LLVM 11.x.x, got '9.0.1'. Be sure to set LLVM_CONFIG to the right executable path.") -- This is the Error I got.

Solution: 1: sudo apt install llvm-11 2: LLVM_CONFIG=llvm-config-11 pip3 install llvmlite 3: LLVM_CONFIG=llvm-config-11 pip3 install librosa

Result I got: "Successfully installed librosa-0.9.2 llvmlite-0.39.0 numba-0.56.0 resampy-0.3.1"

Hope this helps

This is the answer i been looking for, Thank you sir or madam!!
I'm on RPi 3B+, Buster, Kernel: 5.10.103-v7+, Python -V: 3.7.3

[esc]

To solve this issue: I installed LLVM 11 because the llvm was not configured to the right path ("RuntimeError: Building llvmlite requires LLVM 11.x.x, got '9.0.1'. Be sure to set LLVM_CONFIG to the right executable path.") -- This is the Error I got.
Solution: 1: sudo apt install llvm-11 2: LLVM_CONFIG=llvm-config-11 pip3 install llvmlite 3: LLVM_CONFIG=llvm-config-11 pip3 install librosa
Result I got: "Successfully installed librosa-0.9.2 llvmlite-0.39.0 numba-0.56.0 resampy-0.3.1"
Hope this helps

This is the answer i been looking for, Thank you sir or madam!! I'm on RPi 3B+, Buster, Kernel: 5.10.103-v7+, Python -V: 3.7.3

May I ask, did you not have any luck withe the binary wheels for llvmlite on PyPi?

[bOOt3r]

To solve this issue: I installed LLVM 11 because the llvm was not configured to the right path ("RuntimeError: Building llvmlite requires LLVM 11.x.x, got '9.0.1'. Be sure to set LLVM_CONFIG to the right executable path.") -- This is the Error I got.
Solution: 1: sudo apt install llvm-11 2: LLVM_CONFIG=llvm-config-11 pip3 install llvmlite 3: LLVM_CONFIG=llvm-config-11 pip3 install librosa
Result I got: "Successfully installed librosa-0.9.2 llvmlite-0.39.0 numba-0.56.0 resampy-0.3.1"
Hope this helps

This is the answer i been looking for, Thank you sir or madam!! I'm on RPi 3B+, Buster, Kernel: 5.10.103-v7+, Python -V: 3.7.3

May I ask, did you not have any luck withe the binary wheels for llvmlite on PyPi?

I downloaded the *.whl and tried to run it without any luck.
But i didn't not try to build them from source as explained here. Since the solution from @FardowsaRoble worked for me.

[esc]

To solve this issue: I installed LLVM 11 because the llvm was not configured to the right path ("RuntimeError: Building llvmlite requires LLVM 11.x.x, got '9.0.1'. Be sure to set LLVM_CONFIG to the right executable path.") -- This is the Error I got.
Solution: 1: sudo apt install llvm-11 2: LLVM_CONFIG=llvm-config-11 pip3 install llvmlite 3: LLVM_CONFIG=llvm-config-11 pip3 install librosa
Result I got: "Successfully installed librosa-0.9.2 llvmlite-0.39.0 numba-0.56.0 resampy-0.3.1"
Hope this helps

This is the answer i been looking for, Thank you sir or madam!! I'm on RPi 3B+, Buster, Kernel: 5.10.103-v7+, Python -V: 3.7.3

May I ask, did you not have any luck withe the binary wheels for llvmlite on PyPi?

I downloaded the *.whl and tried to run it without any luck. But i didn't not try to build them from source as explained here. Since the solution from @FardowsaRoble worked for me.

Oh interesting. Was there no pip available? Also, do you by any chance recall the error message you received?

[florianwns]

Thx @FardowsaRoble, you save my life !

I tried to install conda to install llvmlite but I was missing too many packages.

LLVM_CONFIG=llvm-config-11 pip3 install numba works very well !

I have the impression that your solution is so simple, that it should necessarily appear in the documentation of Numba.

Anyway thank you very much.

[esc]

@florianwns @FardowsaRoble thank your for commenting on this. I would like to re-iterate that the llvmlite developers don't advocate for using system provided LLVM packages. Read more about it here:

https://llvmlite.readthedocs.io/en/latest/admin-guide/install.html#what-to-be-aware-of-when-using-a-system-provided-llvm-package

It would be nice if someone with a RaspberryPi 4 could provide feedback (error logs of installation attempts) as to why the binary wheels for this platform that we do provide on PyPi don't work. They really should and no-one should encounter issues when installing llvmlite. If any of you have a spare minute that feedback would be most appreciated so that we can solve this issue properly and no longer need to rely on "hacks".

[esc]

My guess about the issues that people using pip3 -- the pip3 may be too old? I just double checked on PyPi:

https://pypi.org/project/llvmlite/0.39.1/#files

And the wheels for the RPi4 (which are aarch64 wheels) are indeed uploaded and present and I don't understand why pip3 isn't picking them up. Could someone who tried the pip3 route perhaps post the pip3 version they are using? Thank you! I really would like to get this solved, such that folks no longer need to use system packages and compile llvmlite from source. 🙏

[snio89]

@esc
Hi, I would like to report my case with two RPis.

(1) Raspberry Pi 4 Model B:

• Raspberry Pi OS Lite (Debian 11 bullseye, 64bit)
• python3 -V: Python 3.9.2
• pip3 -V: pip 20.3.4
• Succeeded to install numba 0.56.4 along with llvmlite 0.39.1 using sudo pip3 install numba

(2) Raspberry Pi Zero:

• Raspberry Pi OS Lite (Debian 11 bullseye, 32bit)
• python3 -V: Python 3.9.2
• pip3 -V: pip 20.3.4
• Failed to install llvmlite 0.39.1 using sudo pip3 install llvmlite

pip 20.3.4 is the latest version that is installed using sudo apt install python3-pip.
It was impossible to install llvmlite 0.39.1 even after updating pip to 23.1 by using sudo pip3 install --upgrade pip,

Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
Collecting llvmlite
  Using cached llvmlite-0.39.1.tar.gz (132 kB)
  Preparing metadata (setup.py) ... done
Building wheels for collected packages: llvmlite
  Building wheel for llvmlite (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py bdist_wheel did not run successfully.
  │ exit code: 1
  ╰─> [11 lines of output]
      running bdist_wheel
      /usr/bin/python3 /tmp/pip-install-9k9aa8iq/llvmlite_0bf87cded5b543f58cbd2e37cf132a3c/ffi/build.py
      LLVM version... Traceback (most recent call last):
        File "/tmp/pip-install-9k9aa8iq/llvmlite_0bf87cded5b543f58cbd2e37cf132a3c/ffi/build.py", line 226, in <module>
          main()
        File "/tmp/pip-install-9k9aa8iq/llvmlite_0bf87cded5b543f58cbd2e37cf132a3c/ffi/build.py", line 216, in main
          main_posix('linux', '.so')
        File "/tmp/pip-install-9k9aa8iq/llvmlite_0bf87cded5b543f58cbd2e37cf132a3c/ffi/build.py", line 135, in main_posix
          raise RuntimeError(msg) from None
      RuntimeError: Could not find a `llvm-config` binary. There are a number of reasons this could occur, please see: https://llvmlite.readthedocs.io/en/latest/admin-guide/install.html#using-pip for help.
      error: command '/usr/bin/python3' failed with exit code 1
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for llvmlite
  Running setup.py clean for llvmlite
Failed to build llvmlite
ERROR: Could not build wheels for llvmlite, which is required to install pyproject.toml-based projects

[esc]

@snio89 thank you for your response, it was very helpful.

(1) Raspberry Pi 4 Model B:

• Succeeded to install numba 0.56.4 along with llvmlite 0.39.1 using sudo pip3 install numba

Thank you for confirming the above, this means 64 bit linux wheels can indeed be installed on a RPi! 🎉

(2) Raspberry Pi Zero:

• Failed to install llvmlite 0.39.1 using sudo pip3 install llvmlite

This points at the issue being related to 32-bit linux wheels.

From what I can tell the description at https://realpython.com/python-wheels/ suggests i686 wheels should be linux 32-bit and https://pypi.org/project/llvmlite/0.39.1/#files does indeed have i686 wheels -- so the question is, why can pip not find them?? One guess I have is that pip is defaulting to the cache, which has the source package. You could try using the latest pip (23.1) with the --no-cach-dir option https://stackoverflow.com/questions/45594707/what-is-pips-no-cache-dir-good-for -- perhaps that will fix things up?

[esc]

From what I can tell the description at https://realpython.com/python-wheels/ suggests i686 wheels should be linux 32-bit and https://pypi.org/project/llvmlite/0.39.1/#files does indeed have i686 wheels -- so the question is, why can pip not find them?? One guess I have is that pip is defaulting to the cache, which has the source package. You could try using the latest pip (23.1) with the --no-cach-dir option https://stackoverflow.com/questions/45594707/what-is-pips-no-cache-dir-good-for -- perhaps that will fix things up?

So, researching some more here, the i686 is 32-bit x86 instruction set? But the RPi you are running has a 32-bit ARM instruction set? This would mean, there is no wheel available for this architecture. Also, looking at: https://github.com/pypa/manylinux -- I am not even sure that the wheel format supports this architecture.

[gmarkall]

This points at the issue being related to 32-bit linux wheels.

From what I can tell the description at https://realpython.com/python-wheels/ suggests i686 wheels should be linux 32-bit and https://pypi.org/project/llvmlite/0.39.1/#files does indeed have i686 wheels -- so the question is, why can pip not find them?? One guess I have is that pip is defaulting to the cache, which has the source package. You could try using the latest pip (23.1) with the --no-cach-dir option https://stackoverflow.com/questions/45594707/what-is-pips-no-cache-dir-good-for -- perhaps that will fix things up?

The Raspberry Pi Zero is 32-bit ARM, not 32-bit x86 - did we do wheels for 32-bit ARM?

edit: Never mind, you beat me to it @esc :-)

[esc]

@gmarkall ok, yes, that would make sense then. No 32-bit ARM support. Thank you for confirming!

@snio89 perhaps it is possible to install a 64 bit OS on the Raspberry Pi Zero? Looking at:

https://en.wikipedia.org/wiki/Raspberry_Pi

The following suggests you need a Raspberry Pi Zero 2 W since that is the first RPi Zero to support 64-bit.

[snio89]

@esc I am sorry but I don't have RPi Zero 2 now. If llvmlite does not have a wheel for 32-bit ARM, it would be better for me to give up using RPi Zero and/or 32-bit OS.

I can test the following things tomorrow, though I am not sure these tests will be helpful.

• sudo pip3 install llvmlite for pip 20.3.4 and 23.1, RPi 4 with 32-bit OS
• sudo pip3 install llvmlite --no-cache-dir for pip 20.3.4 and 23.1, RPi 4 with 32-bit OS
• sudo pip3 install llvmlite --no-cache-dir for pip 20.3.4 and 23.1, RPi Zero with 32-bit OS

[esc]

@snio89 I think the lack of 32-bit ARM manylinux wheels is indeed the case of your issue. I am not sure what to recommend now. All other options have their own risks or are tricky.

a) Compile LLVM from source -- this is quite tricky to get right, since Numba/llvmlite requires a patched LLVM
b) Install LLVM via apt -- this then comes with the risk of using an unpatched LLVM, so some of Numba/llvmlite's behaviour may be unpredictable.

Some folks above have recommended and posted instructions for b) using the LLVM_CONFIG environment variable above. It seems to work for them. However, if you try this and run into issues you may end up on your own as this isn't an officially supported use-case. But, as @FardowsaRoble points out, the following may succeed:

sudo apt install llvm-11
LLVM_CONFIG=llvm-config-11 pip3 install llvmlite

[esc]

@snio89 you could also see if llvmlite is available in your OS by doing sudo apt search llvmlite

[snio89]

@esc Thanks for the help. I had checked the solution of @FardowsaRoble and it seemed possible to install llvmlite using apt. The lack of patch for llvmlite was the reason I hesistated to apply this solution but it seems like there is no other choice for me. Thank you again for your help and support for the community.

[snio89]

This is just a suggestion: how about mentioning the current situation with the 32bit ARM and pip on the numba installation document?
https://numba.readthedocs.io/en/stable/user/installing.html

I also faced a similar problem for the numpy installation (upgrade) using pip. And I found that numpy provides an introduction for this problem.
https://numpy.org/doc/stable/user/troubleshooting-importerror.html

It would be very helpful for Raspberry Pi users if the numba documentation provides an information for this situation.

[esc]

This is just a suggestion: how about mentioning the current situation with the 32bit ARM and pip on the numba installation document? https://numba.readthedocs.io/en/stable/user/installing.html

Probably not a bad idea. I had previously assumed this was a niche use-case, however it seems like there is quite some demand, judging from the opened issues on the llvmlite issue-tracker.

[CodeOfSascha]

If anyone is interested: I managed to install numba 0.56.4 on a raspberry pi zero 2 w. However, I had to use some workarounds, here is how i did it:

• OS: Raspberry Pi OS Lite (32bit)
• For llvmlite to be installed successfully, I installed sudo apt install -y llvm-dev libffi-dev
• For numpy to run successfully, I installed sudo apt-get install -y libatlas-base-dev libopenjp2-7
• After that i used pip install llvmlite==0.39.1 into a virtual environment

At this point I faced the issue, that the installer froze builing a wheel for llvmlite. ChatGPT helped by recommending to increase the SWAP size in /etc/dphys-swapfile to 1024 (Default was 100). The parameter is called CONF_SWAPSIZE

• After that i was able to install numpy into my virtual environment using pip install numba==0.56.4

I really hope it helps someone. I took me quite some time to figure this out...

[esc]

If anyone is interested: I managed to install numba 0.56.4 on a raspberry pi zero 2 w. However, I had to use some workarounds, here is how i did it:

Thank you for adding this! It's always good to hear about someones experience. I will ask for some clarification in-line.

• OS: Raspberry Pi OS Lite (32bit)
• For llvmlite to be installed successfully, I installed sudo apt install -y llvm-dev libffi-dev

Which version of llvm-dev is this?

• For numpy to run successfully, I installed sudo apt-get install -y libatlas l#ibopenjp2-7

Did you mean libopenjp2-7 and not l#ibopenjp2-7?

• After that i used pip install llvmlite==0.39.1 into a virtual environment

Why not use the latest release? 0.40.1?

At this point I faced the issue, that the installer froze builing a wheel for llvmlite. ChatGPT helped by recommending to increase the SWAP size in /etc/dphys-swapfile to 1024 (Default was 100). The parameter is called CONF_SWAPSIZE

• After that i was able to install numpy into my virtual environment using pip install numpy==0.56.4

The numpy package isn't available in a version 0.56.4 but Numba is. Did you perhaps mean pip install numpy==0.56.4?

I really hope it helps someone. I took me quite some time to figure this out...

Yeah, installation on 32 bit RPis is currently a daunting task that requires a lot of manual cranking.

[CodeOfSascha]

Hi! Thank you for your feedback. I fixed the typos in my above comment.
Today, I tried to install version 0.57.1 of numba. I followed my instructions above.

• pip install llvmlite==0.40.1. It took quite some time to install and it seemed that the installer froze while building the wheel. Ultimately, it succeeded.
• pip install numba==0.57.1 succeeded.
• After I tried running numba, the following error occured: ImportError: Numba requires at least version 14.0.0 of LLVM. Installed llvmlite is built against version 11.0.1.
• Using llvm-config --version I could confirm version 11.0.1.

I then tried to figure out how to update llvm. However, since I am quite new to programming and linux, i decided to give up...

[CodeOfSascha]

Update:
I successfully installed numba 0.58.1 on my Raspberry Pi Zero 2 W (hooray). Here is what I did:

• Raspberry Pi OS Lite (32-bit, a port of Debian Bookworm).
• sudo apt install -y llvm-dev libffi-dev
• sudo apt-get install -y python3-pip
• sudo apt install -y python3-venv
• Created a virtual environment: python -m venv venv and activated it: source venv/bin/activate
• As mentioned above, I increased the SWAP size in /etc/dphys-swapfile. This time to 4096 (Default was 100). The parameter is called CONF_SWAPSIZE
• with pip install numba==0.58.1, i succeeded in installing numba and with it llvmlite. Note: It took roughly 30 minutes and the installation process seemed frozen during installation at least three times.