pixi.toml

[workspace]
name = "debugging-tutorials"
channels = ["conda-forge", "conda-forge/label/python_rc"]
platforms = ["linux-64", "linux-aarch64", "osx-64", "osx-arm64"]
requires-pixi = ">=0.81"
preview = ["pixi-build"]

# Reference-counting exercise: a GIL-enabled debug interpreter and build tools.
[dependencies]
python = { path = "." }
c-compiler = "*"
cxx-compiler = "*"
ninja = "*"
pkg-config = "*"
git = "*"
spin = "==0.18"
meson-python = "==0.21.1"
cython = "==3.3.0"
meson = "==1.12.1"

[activation.env]
PYTHONPATH = "$PIXI_PROJECT_ROOT/numpy-src/build-install/usr/lib/python3.15/site-packages"

[tasks.build-python]
description = "Build and check the Python 3.15.0rc2 debug interpreter"
cmd = "python -VV && python -c 'import sysconfig; assert sysconfig.get_config_var(\"Py_DEBUG\") == 1; assert not sysconfig.get_config_var(\"Py_GIL_DISABLED\")'"

# Profiling exercise: a prebuilt free-threaded release interpreter and wheels.
[feature.profiling.dependencies]
python = "==3.15.0rc2"
python-freethreading = "*"
samply = "*"

[feature.profiling.pypi-dependencies]
scikit-learn = "==1.9.1"
pandas = "==3.0.6"
numpy = "==2.5.3"

[feature.profiling.activation.env]
# Use the installed wheels even if the parent shell selects a local NumPy build.
PYTHONPATH = ""
# Limit native worker pools so they do not multiply the Python worker count.
OMP_NUM_THREADS = "1"
OPENBLAS_NUM_THREADS = "1"

# LLDB embeds its own Python, independently of the interpreter being debugged.
[feature.debugger.dependencies]
lldb = "22.1.*"

[environments]
profiling = { features = ["profiling"], no-default-feature = true }
debugger = { features = ["debugger"], no-default-feature = true }

[package.build.backend]
name = "pixi-build-rattler-build"
version = "*"

[package.build.config]
recipe = "python-debug/recipe.yaml"