[BUG]: Segfault when importing numpy on Mojo 0.4.1

[jcoombes]

Bug description

Running a code example from the docs causes a segfault.

Steps to reproduce

• Include relevant code snippet or link to code that did not work as expected.

The code snippet here: https://docs.modular.com/mojo/manual/python/#import-a-python-module

from python import Python

fn main() raises:
    # This is equivalent to Python's `import numpy as np`
    let np = Python.import_module("numpy")

    # Now use numpy as if writing in Python
    let array = np.array([1, 2, 3])
    print(array)

• If applicable, add screenshots to help explain the problem.
  

• Include anything else that might help us debug the issue.

(obvs) ➜ obvs git:(main) ✗ mojo obvs/gputest.🔥
[46656:46656:20240203,185804.294909:ERROR file_io_posix.cc:144] open /sys/devices/system/cpu/cpu0/cpufreq/scaling_cur_freq: No such file or directory (2)
[46656:46656:20240203,185804.295156:ERROR file_io_posix.cc:144] open /sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq: No such file or directory (2)
Please submit a bug report to https://github.com/modularml/mojo/issues and include the crash backtrace along with all the relevant source codes.
Stack dump:
0. Program arguments: mojo obvs/gputest.\360\237\224\245
#0 0x0000564ef39101b7 (/home/user/.modular/pkg/packages.modular.com_mojo/bin/mojo+0x6211b7)
#1 0x0000564ef390dd8e (/home/user/.modular/pkg/packages.modular.com_mojo/bin/mojo+0x61ed8e)
#2 0x0000564ef391088f (/home/user/.modular/pkg/packages.modular.com_mojo/bin/mojo+0x62188f)
#3 0x00007fc6d2842520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
[1] 46654 segmentation fault (core dumped) mojo obvs/gputest.🔥

System information

- What OS did you do install Mojo on ?
Ubuntu 22.04
pyenv+virtualenv setup as https://github.com/CoefficientSystems/modern-data-cookiecutter
following something like:
https://dev.to/alysivji/ultimate-solution-to-python-virtual-environments-pyenv--virtualenvwrapper

python --version
Python 3.11.7

python -c "import numpy; print(numpy.array([1, 2, 3]))"
[1 2 3]

this isn't an issue with numpy imports within python.

- Provide version information for Mojo by pasting the output of `mojo -v`
mojo 0.7.0 (af002202)

- Provide Modular CLI version by pasting the output of `modular -v`
modular 0.4.1 (2d8afe15)

[jcoombes]

Note this bug is fixed in the 0.7.0 release of Mojo.

(obvs) ➜ obvs git:(main) ✗ mojo -v
mojo 0.7.0 (af002202)
(obvs) ➜ obvs git:(main) ✗ mojo obvs/gputest.🔥
[1 2 3]

[ematejska]

Thanks for trying with the latest release. Closing.