Hi,
This weekend I managed to get the orekit python wrapper cross-compiled for mac M1/M2, but I cannot test it as it needs a mac HW to run.
Could someone with a mac M1/M2 please try to install it via conda and report back?
same as with other platforms, just “conda install -c conda-forge orekit”
and then run: import orekit; orekit.initVM()
if that works it should be ok.
Hi,
Tried on M2 (MacBook Pro, Ventura 13.4)
this gives message: <jcc.JCCenv object at 0x7f8d400aa550>
That’s very exciting! It failed for me so I’m posting some info in case it helps.
(dev) journals/2022W50 % conda create -n oretest python=3.8
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.13.0
latest version: 23.5.0
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: /Users/jrowland/miniforge3/envs/oretest
added / updated specs:
- python=3.8
The following packages will be downloaded:
package | build
---------------------------|-----------------
libsqlite-3.42.0 | hb31c410_0 804 KB conda-forge
libzlib-1.2.13 | h53f4e23_5 47 KB conda-forge
ncurses-6.4 | h7ea286d_0 780 KB conda-forge
pip-23.1.2 | pyhd8ed1ab_0 1.3 MB conda-forge
python-3.8.17 |h3ba56d0_0_cpython 13.1 MB conda-forge
readline-8.2 | h92ec313_1 244 KB conda-forge
setuptools-68.0.0 | pyhd8ed1ab_0 453 KB conda-forge
wheel-0.40.0 | pyhd8ed1ab_0 54 KB conda-forge
xz-5.2.6 | h57fd34a_0 230 KB conda-forge
------------------------------------------------------------
Total: 17.0 MB
The following NEW packages will be INSTALLED:
bzip2 conda-forge/osx-arm64::bzip2-1.0.8-h3422bc3_4
ca-certificates conda-forge/osx-arm64::ca-certificates-2023.5.7-hf0a4a13_0
libffi conda-forge/osx-arm64::libffi-3.4.2-h3422bc3_5
libsqlite conda-forge/osx-arm64::libsqlite-3.42.0-hb31c410_0
libzlib conda-forge/osx-arm64::libzlib-1.2.13-h53f4e23_5
ncurses conda-forge/osx-arm64::ncurses-6.4-h7ea286d_0
openssl conda-forge/osx-arm64::openssl-3.1.1-h53f4e23_1
pip conda-forge/noarch::pip-23.1.2-pyhd8ed1ab_0
python conda-forge/osx-arm64::python-3.8.17-h3ba56d0_0_cpython
readline conda-forge/osx-arm64::readline-8.2-h92ec313_1
setuptools conda-forge/noarch::setuptools-68.0.0-pyhd8ed1ab_0
tk conda-forge/osx-arm64::tk-8.6.12-he1e0b03_0
wheel conda-forge/noarch::wheel-0.40.0-pyhd8ed1ab_0
xz conda-forge/osx-arm64::xz-5.2.6-h57fd34a_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
python-3.8.17 | 13.1 MB | ######################################################################################################################################################################### | 100%
pip-23.1.2 | 1.3 MB | ######################################################################################################################################################################### | 100%
libzlib-1.2.13 | 47 KB | ######################################################################################################################################################################### | 100%
wheel-0.40.0 | 54 KB | ######################################################################################################################################################################### | 100%
xz-5.2.6 | 230 KB | ######################################################################################################################################################################### | 100%
libsqlite-3.42.0 | 804 KB | ######################################################################################################################################################################### | 100%
readline-8.2 | 244 KB | ######################################################################################################################################################################### | 100%
setuptools-68.0.0 | 453 KB | ######################################################################################################################################################################### | 100%
ncurses-6.4 | 780 KB | ######################################################################################################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate oretest
#
# To deactivate an active environment, use
#
# $ conda deactivate
(dev) journals/2022W50 % conda activate oretest
(oretest) journals/2022W50 % conda install -c conda-forge orekit==11.3.2
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.13.0
latest version: 23.5.0
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: /Users/jrowland/miniforge3/envs/oretest
added / updated specs:
- orekit==11.3.2
The following packages will be downloaded:
package | build
---------------------------|-----------------
orekit-11.3.2 | py38he333c0f_2 39.1 MB conda-forge
python_abi-3.8 | 3_cp38 6 KB conda-forge
------------------------------------------------------------
Total: 39.1 MB
The following NEW packages will be INSTALLED:
libcxx conda-forge/osx-arm64::libcxx-16.0.6-h4653b0c_0
openjdk conda-forge/osx-arm64::openjdk-8.0.332-he4db4b2_0
orekit conda-forge/osx-arm64::orekit-11.3.2-py38he333c0f_2
python_abi conda-forge/osx-arm64::python_abi-3.8-3_cp38
Proceed ([y]/n)? y
Downloading and Extracting Packages
python_abi-3.8 | 6 KB | ######################################################################################################################################################################### | 100%
orekit-11.3.2 | 39.1 MB | ######################################################################################################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(oretest) journals/2022W50 % pyThon
Python 3.8.17 | packaged by conda-forge | (default, Jun 16 2023, 07:11:32)
[Clang 14.0.6 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import orekit
zsh: killed pyThon
(oretest) journals/2022W50 % python
Python 3.8.17 | packaged by conda-forge | (default, Jun 16 2023, 07:11:32)
[Clang 14.0.6 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import orekit
zsh: killed python
some system info
(oretest) journals/2022W50 % system_profiler SPSoftwareDataType SPHardwareDataType
Software:
System Software Overview:
System Version: macOS 12.5.1 (21G83)
Kernel Version: Darwin 21.6.0
Boot Volume: Macintosh HD
Boot Mode: Normal
Secure Virtual Memory: Enabled
System Integrity Protection: Enabled
Time since boot: 12 days 17:18
Hardware:
Hardware Overview:
Model Name: MacBook Pro
Model Identifier: MacBookPro18,3
Chip: Apple M1 Pro
Total Number of Cores: 10 (8 performance and 2 efficiency)
Memory: 16 GB
System Firmware Version: 7459.141.1
OS Loader Version: 7459.141.1
Activation Lock Status: Enabled
(oretest) journals/2022W50 % conda env export
name: oretest
channels:
- conda-forge
dependencies:
- bzip2=1.0.8=h3422bc3_4
- ca-certificates=2023.5.7=hf0a4a13_0
- libcxx=16.0.6=h4653b0c_0
- libffi=3.4.2=h3422bc3_5
- libsqlite=3.42.0=hb31c410_0
- libzlib=1.2.13=h53f4e23_5
- ncurses=6.4=h7ea286d_0
- openjdk=8.0.332=he4db4b2_0
- openssl=3.1.1=h53f4e23_1
- pip=23.1.2=pyhd8ed1ab_0
- python=3.8.17=h3ba56d0_0_cpython
- python_abi=3.8=3_cp38
- readline=8.2=h92ec313_1
- setuptools=68.0.0=pyhd8ed1ab_0
- tk=8.6.12=he1e0b03_0
- wheel=0.40.0=pyhd8ed1ab_0
- xz=5.2.6=h57fd34a_0
- pip:
- orekit==11.3.2
prefix: /Users/jrowland/miniforge3/envs/oretest
Thanks @rowland-208 for the report. Would be good to get more reports, if something could be tracked down. Did/could you try with a different python version? (all versions published should however have been tested in the automated tests)
Regards
It appears to be an issue with the jvm rather than orekit. Specifically openjdk=8.0.332. I can install openjdk=11 and javac executes without the os killing it. I’m trying to force operkit 11 and openjdk 11 at the moment. Also considering upgrading my OS.
(oretest) repos/leo-backend-od % sudo dmesg | grep -i python
[1117860.164103]: CODE SIGNING: cs_invalid_page(0x102c94000): p=80222[python3.9] final status 0x23000200, denying page sending SIGKILL
[1117860.164116]: CODE SIGNING: process 80222[python3.9]: rejecting invalid page at address 0x102c94000 from offset 0x0 in file "/Users/jrowland/miniforge3/envs/oretest/jre/lib/server/libjvm.dylib" (cs_mtime:1655621585.0 == mtime:1655621585.0) (signed:1 validated:1 tainted:1 nx:0 wpmapped:0 dirty:0 depth:0)
[1117863.655475]: CODE SIGNING: cs_invalid_page(0x100fb8000): p=80238[python3.9] final status 0x23000200, denying page sending SIGKILL
[1117863.655487]: CODE SIGNING: process 80238[python3.9]: rejecting invalid page at address 0x100fb8000 from offset 0x0 in file "/Users/jrowland/miniforge3/envs/oretest/jre/lib/server/libjvm.dylib" (cs_mtime:1655621585.0 == mtime:1655621585.0) (signed:1 validated:1 tainted:1 nx:0 wpmapped:0 dirty:0 depth:0)
(oretest) repos/leo-backend-od % javac
zsh: killed javac
I have tried with python 3.8 and 3.9. I found a related thread in the openjdk issues.
Posting an update in case it helps others. I upgraded my OS and no luck. It failed on macOS 11 and 13 variants.
Edit: As a workaround I was able to downgrade openjdk. Orekit works with that version so far.
$ conda install openjdk=8.0.312 --no-deps
I’m not sure this is the appropriate place to post this, but I’m having trouble getting the python wrapper to work completely on a MacBook Pro M2, MacOS 13.4 with Anaconda and python 3.8. For some very strange reason, it can’t seem to load the orekit-data (just downloaded an uncompressed a fresh version from the OREKIT site to make sure the formatting was right). The following code snippet fails at “earthframe =” with the dreaded “org.orekit.errors.OrekitException: no IERS UTC-TAI history data loaded”. Just to confirm, the tai-utc.dat file is in that directory.
import orekit
from java.io import File
from org.orekit.data import DataProvidersManager, DirectoryCrawler
from org.orekit.utils import IERSConventions
from org.orekit.frames import FramesFactory
datapath = 'orekit-data-master'
jccEnv = orekit.initVM(orekit.CLASSPATH, None, None, None, '')
datafile = File(datapath)
if not datafile.exists():
print('File :', datafile.absolutePath, ' not found')
else:
DM = DataProvidersManager()
crawler = DirectoryCrawler(datafile)
DM.clearProviders()
DM.addProvider(crawler)
print('Data Names: {0}'.format(DM.getLoadedDataNames()))
earthframe = FramesFactory.getITRF(IERSConventions.IERS_2010, True)
This is with OREKIT 11.3.2, openjdk 8.0.332 (I tried 8.0.312 and it makes no difference), and python 3.8.17. Here is my system profile:
%system_profiler SPSoftwareDataType SPHardwareDataType
Software:
System Software Overview:
System Version: macOS 13.4.1 (22F82)
Kernel Version: Darwin 22.5.0
Boot Volume: Macintosh HD
Boot Mode: Normal
Secure Virtual Memory: Enabled
System Integrity Protection: Enabled
Time since boot: 20 days, 5 hours, 34 minutes
Hardware:
Hardware Overview:
Model Name: MacBook Pro
Model Identifier: Mac14,10
Model Number: MNW83LL/A
Chip: Apple M2 Pro
Total Number of Cores: 12 (8 performance and 4 efficiency)
Memory: 16 GB
System Firmware Version: 8422.121.1
OS Loader Version: 8422.121.1
Serial Number (system): CFF4Q19RHV
Hardware UUID: BDA8543B-D6E0-54C0-A51A-EC81B7E044F6
Provisioning UDID: 00006020-000A0891267B401E
Activation Lock Status: Disabled
Any help would be appreciated!
Joe
Hi Joe,
Thanks for your report. Did you try using the supplied setup_orekit_curdir and use the zip from orekit, you can see how in some of the examples in Orekit Labs / Orekit Python Wrapper · GitLab ? Or maybe try your code and confirm it works on a x86 linux if you have access. Your setup code looks ok at a first glance but may be something, so please first try the default setup routine?
/Petrus
No! I didn’t know about that. I’m not new to OREKIT, but it’s been a while (OREKIT 7.1) since I last used it. So, I’m busy trying to port all my code over to the updated API. That was a detail I missed and now that is working just fine. Thank you! So, I can report it seems to be working on my M2 machine now.
Hi, orekit 11.3.3 is now released including rebuilt M1/M2 packages. As there is no way to perform automated M1/M2 tests today in the CI platform I would be thankful if some M1/M2 users could verify that the new ones are working…
It seems working for me (conda install -c conda-forge orekit==11.3.3)
MacBook Pro M2 (Ventura 13.4.1)
Hello.
I am on Mac M1 OS Ventura 13.5 and I am unable to import orekit after installation. I have tried all Python versions between 3.8 and 3.11. I have tried installing by specifying a version “conda install -c conda-forge orekit==11.3.3” and also not specifying a version “conda install -c conda-forge orekit”. I have also tried downgrading conda install openjdk=8.0.312 --no-deps but it won’t let me?
I consistently just get:
">>> import orekit
[1] 40643 killed python
Let me know if I can provide any more info that might be relevant!
`Software:
System Software Overview:
System Version: macOS 13.5 (22G74)
Kernel Version: Darwin 22.6.0
Boot Volume: Macintosh HD
Boot Mode: Normal
Computer Name: Charles’s MacBook Pro
Secure Virtual Memory: Enabled
System Integrity Protection: Enabled
Time since boot: 8 days, 23 hours, 51 minutes
Hardware:
Hardware Overview:
Model Name: MacBook Pro
Model Identifier: MacBookPro18,4
Model Number: Z15H000D1B/A
Chip: Apple M1 Max
Total Number of Cores: 10 (8 performance and 2 efficiency)
Memory: 32 GB
System Firmware Version: 8422.141.2
OS Loader Version: 8422.141.2
Serial Number (system): C7QK3JGX3J
Hardware UUID: 71D2586B-656F-51F6-AECD-FF6D48330DF5
Provisioning UDID: 00006001-001410CE3445801E
Activation Lock Status: Enabled
`
Thanks for any help!
Charles
Hi @charlesc
Thanks for your report. When you say that it doesn’t let you downgrade to openjdk 8.0.312 do you mean that it still don’t work or that conda is refusing you to downgrade? In the later case you can create a new conda environment
conda create -n orekitenv orekit openjdk=8.0.312
you may want to add some other pacakges as well that you are using.
Rgeards
Hi @petrus.hyvonen,
This worked when I made a new environment! Thanks.
conda create -n orekitenv orekit openjdk=8.0.312
But making my environment using a .yml file doesn’t. These are all the dependencies I am trying to use:
name: orekitenv
channels:
- conda-forge
- defaults
dependencies:
- ipython=7.28
- jupyter=1.0
- pip
- jplephem
- wheel
- requests
- wget
- python-dotenv
- xlsxwriter
- pandas
- matplotlib
- python
- pyshtools
- orekit
- openjdk=8.0.321
- scipy
- pillow
- fftw
- pip:
- sp3
- datetime
- seaborn
- astropy
- poliastro
- spacetrack
- requests
- tqdm
- sgp4
- matplotlib
- python-dotenv
- pandas
- numba
- numpy
- pyatmos
conda env create -f orekit_env.yml
This is the output that I get:
Collecting package metadata (repodata.json): done
Solving environment: failed
ResolvePackageNotFound:
- openjdk=8.0.321
Further if I try to ask conda to find a suitable channel it can’t (eventhough it does manage to install somehow…)
conda search -c conda-forge openjdk=8.0.321
Loading channels: done
No match found for: openjdk=8.0.321. Search: *openjdk*=8.0.321
PackagesNotFoundError: The following packages are not available from current channels:
- openjdk=8.0.321
Current channels:
- https://conda.anaconda.org/conda-forge/osx-arm64
- https://conda.anaconda.org/conda-forge/noarch
- https://repo.anaconda.com/pkgs/main/osx-arm64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/osx-arm64
- https://repo.anaconda.com/pkgs/r/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
This makes me think that the issue is potentially with conda itself?
Hope that helps.
Charles
Hi, @charlesc
Yes this seems to be something with the conda and the dependencies there, suprising, it sounds like it “should work” 
What I can recommend to try is to keep exclusively to the conda-forge channes as these are built on a different pipeline and may have different compiler settings etc. (The anaconda repositories are also under some licensing terms that are not free for all.). There is a file .condarc (can be in some different locations) that selects which and which order of repos to use. See Tips & tricks — conda-forge 2023.08.17 documentation
Regards