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Bump version: 0.1.1 → 0.1.2 #63

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Merged
cmcneil merged 1 commit into from
Jun 2, 2026
Merged

Bump version: 0.1.1 → 0.1.2 #63

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2 changes: 1 addition & 1 deletion .bumpversion.toml
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.1.1"
current_version = "0.1.2"
commit = true
allow_dirty = false
commit_args = "--no-verify"
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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -4,7 +4,7 @@ build-backend = "scikit_build_core.build"

[project]
name = "mach-beamform"
version = "0.1.1" # Update via bump-my-version, not manually
version = "0.1.2" # Update via bump-my-version, not manually
description = "Ultrafast GPU-accelerated beamforming kernel for ultrasound imaging"
authors = [
{ name = "Charles Guan" },
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2 changes: 1 addition & 1 deletion src/mach/__init__.py
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Expand Up @@ -11,7 +11,7 @@
__version__ = version("mach")
except PackageNotFoundError:
# Update via bump-my-version, not manually
__version__ = "0.1.1"
__version__ = "0.1.2"
Comment on lines 11 to +14
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@qodo-code-review qodo-code-review Bot Jun 2, 2026

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Action required

1. Wrong dist version lookup 🐞 Bug ≡ Correctness

src/mach/__init__.py calls importlib.metadata.version("mach"), but the distribution name declared in
pyproject.toml is "mach-beamform". In normal installs this will raise PackageNotFoundError and
always use the hardcoded fallback __version__, making metadata-based version reporting unreliable.
Agent Prompt 
## Issue description
`src/mach/__init__.py` tries to read the installed package version via `importlib.metadata.version("mach")`, but the distribution name configured for packaging is `mach-beamform`. This mismatch makes the metadata lookup fail and forces the code to always use the hardcoded fallback version.

## Issue Context
- Module name (`mach`) and distribution/project name (`mach-beamform`) can differ; `importlib.metadata.version()` expects the distribution name.

## Fix Focus Areas
- src/mach/__init__.py[11-14]
- pyproject.toml[5-8]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools


# Import main modules to make them available as mach.module_name
from . import geometry, kernel, wavefront
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2 changes: 1 addition & 1 deletion uv.lock
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