cpre
cpre analyzes Boolean conditions in C and C++ preprocessor conditional blocks without parsing the surrounding translation unit. It finds dead and redundant branches, simplifies conditions with bounded ROBDD reasoning, and also exposes a concrete preprocessing API for downstream analyzers that need one selected, macro-expanded source representation.
Project status: Beta. The documented CLI and top-level Python API are intended for downstream integration, while broader real-world use may still uncover compatibility, modeling, or performance edges before 1.0.
Installation
python -m pip install cpre
For development:
git clone https://github.com/sahebbiswas/cpre.git
cd cpre
python -m pip install -e ".[dev]"
CLI quick start
Analyze one source file:
cpre source.c
Scan a directory recursively and emit SARIF:
cpre --recursive --sarif src > cpre.sarif
Fail CI when dead or redundant branches are found:
cpre --recursive --fail-on-findings src
The module form is equivalent:
python -m cpre source.c
By default, text and JSON reports show notable branches only; --verbose includes unchanged branches. --json emits the structural conditional tree, while --sarif emits findings for static-analysis interchange. See the CLI guide for discovery rules, batch output, stderr behavior, and the 0/1/2 exit-status contract.
Python analysis quick start
import cpre
try:
result = cpre.analyze_source(source_text, filename="example.c")
except cpre.CpreError as error:
print(error.code, error.location, error.message)
else:
if not result.complete:
for diagnostic in result.incomplete:
print("analysis incomplete:", diagnostic)
else:
for finding in result.findings:
print(finding.kind, finding.location, finding.reason)
Always check result.complete before treating an empty finding set as clean. Bounded analysis never exposes findings derived from partial proofs.
See the Python API integration guide for findings, simplifications, edits, assumptions, resource limits, structured errors, and compatibility expectations.
Concrete preprocessing quick start
preprocess_source() selects one configuration and returns a canonical coordinate/source-map-oriented representation:
import cpre
result = cpre.preprocess_source(
source_text,
filename="example.c",
assumptions={"FEATURE": True},
)
if result.complete:
canonical = result.source
Canonical output remains the default. If a caller explicitly wants a presentation-oriented compact view, it can opt in separately:
if result.complete:
compact_source = cpre.compact(result)
compact() never runs automatically, and the canonical result.source_map describes result.source, not the compact view.
See Concrete preprocessing for macro configuration/state, mappings, removed-line provenance, deterministic predefined context, __has_include, pragma handling, incomplete results, and downstream-parser guidance.
Documentation
The documentation index links the full user and integration guides. Key references include:
- Command-line interface
- Python API integration
- Concrete preprocessing
- Macro expansion
- Concrete macro configuration
- Concrete conditional expressions
- Host-assisted
__has_include - Pragma handling
- SARIF output
- Downstream compatibility
- pcpp replacement readiness
The README uses absolute repository links so the same navigation works when rendered as the package long description on PyPI.
Development and testing
Install the development dependencies and run the suite:
python -m pip install -e ".[dev]"
python -m pytest
Release validation also builds both distributions and checks their metadata/long description:
python -m build
python -m twine check dist/*
GitHub Actions runs tests across supported Python versions on Linux, macOS, and Windows, plus a build/twine/public-wheel-contract job.
When extending cpre, keep downstream integrations on the documented top-level cpre API. Preserve deterministic ordering, structured diagnostics, and complete/incomplete semantics rather than requiring consumers to parse human-readable output.
Versioning
The package version is defined by cpre.__version__ and consumed by pyproject.toml during builds.
0.7.0 marked the transition from Alpha to Beta. During Beta, the documented top-level API is intended for real integrations; compatibility-sensitive changes should be deliberate and documented. Incremental features and fixes generally use patch releases, while deliberate compatibility changes should be reflected more prominently in release planning.
License
Licensed under the Apache License, Version 2.0. See the repository license.
Metadata
Release files for cpre 0.12.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cpre-0.12.1.tar.gz | 123.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cpre-0.12.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 207.9 kB
Release files / cpre-0.12.1.tar.gz
| Download URL | cpre-0.12.1.tar.gz |
|---|---|
| Size | 123.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / cpre-0.12.1-py3-none-any.whl
| Download URL | cpre-0.12.1-py3-none-any.whl |
|---|---|
| Size | 84.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 4, 2026.
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