cpp-pd-code-simplify-interface 0.1.31

Python interface for cpp-pd-code-simplify with runtime C++ compilation.

cpp-pd-code-simplify-interface

cpp-pd-code-simplify-interface is a Python package for calling the cpp-pd-code-simplify C++ implementation from Python.

The package is designed for PyPI distribution:

pip install cpp-pd-code-simplify-interface

It ships the header-only C++ core and native C wrapper inside the wheel and source distribution. On first use, the package compiles a cached local dynamic library through cpp-simple-interface; later calls reuse that library through ctypes. A C++17 compiler compatible with g++ must be available at runtime.

Runtime dependencies are handled per platform. On Windows, the interface uses objdump -p or dumpbin /DEPENDENTS when available, then caches MinGW runtime DLLs such as libstdc++-6.dll, libgcc_s_*.dll, and libwinpthread-1.dll next to the generated DLL. On Linux it adds $ORIGIN rpath and can inspect ldd; on macOS it adds @loader_path rpath and can inspect otool -L. Load failures are wrapped with platform-specific dependency hints.

The core C++ header is not stored as a permanent generated copy in this subproject. The custom Poetry build backend syncs it from the repository root during poetry build, embeds it in the wheel and sdist beside the native C wrapper, then removes the temporary copy from the working tree.

Calls use the C++ library's default preprocessing pipeline: R1-move removal, true R2-bigon removal, and nugatory-crossing removal, then iterative mid-simplification.

Example

import cpp_pd_code_simplify_interface as simplify

pd_code = "PD[X[1,5,2,4],X[3,1,4,6],X[5,3,6,2]]"
result = simplify.simplify(pd_code)
print(result["final_pd_code"])

Returned final_pd_code strings are normalized for display: each crossing is written from the under-incoming edge, labels are renumbered along oriented components from 1, and crossing rows are sorted lexicographically. This is applied only at the final JSON boundary; the C++ backend keeps its internal numbering unchanged while simplifying.

The default max_paths=-1 uses deterministic heuristic green-path sampling in the C++ backend. Use ban_heuristic=True to request exhaustive green-path enumeration for a manageable input. Use reduction_round=K to cap applied mid-simplification rounds; the default -1 runs until stable. In default heuristic mode, a miss is followed by the native deterministic non-monotone failover, then a brute-force proof pass, then the RIII failover before the diagram is treated as stable. Use timeout=K to cap a call at K seconds; the default -1 has no timeout. Use verbose=True to forward timestamped C++ progress logs to stderr. If a call times out, the returned dictionary still contains the best PD code found so far and sets timed_out to True. Use quit_at_crossing=N, or CLI flag --quit-at-crossing N, to stop once the current PD code has at most N crossings; the returned dictionary sets stopped_by_crossing_limit when the threshold is reached. Brute-force green-path enumeration is streamed by the C++ backend; pass bruteforce_budget=N to cap brute-force green-path checks per PD code. The default is 200000, and -1 disables that cap. If the budget is exhausted, the returned dictionary still contains the current best PD code and sets resource_limited to True. Verbose log lines use local wall-clock time in YYYY-MM-DD HH:MM:SS format. When max_thread=-1 reaches a brute-force search phase, verbose logs also include actual_threads, the worker count selected by the C++ backend for that phase. The backend call runs in a helper process, so Ctrl+C can terminate active C++ work and its worker threads cleanly. Use log_file=PATH, or CLI flag --log-file PATH, to tee stdout and stderr into a flushed backup log file. Use reapr=True, or CLI flag --reapr, only for the experimental invariant-guarded projection oracle. It can change the knot or link type; for n current crossings, both the raw candidate and its R1/R2/nugatory cleanup must keep at least n - ceil(n / 4) crossings. Accepted output includes reapr_warning, determinant guard fields, and before/after invariant profile strings. Use reapr_retry_max=N, or CLI flag --reapr-retry-max N, to control the deterministic retry cap. Use show_step_pd=True, or CLI flag --show-step-pd, to print step_pd_code[ROUND]: PD[...] to stdout after each mid-simplification witness is applied and canonicalized, before that round's automatic local cleanup. With reapr=True, every REAPR candidate that passes the full invariant profile and conservative crossing window is also printed with round 0 before the selected candidate's ordinary local cleanup.

Batch use:

results = simplify.simplify_many([pd_code, "PD[]"])

To select a compiler:

CXX=clang++ python your_script.py

Windows PowerShell:

$env:CXX = "C:\path\to\g++.exe"
python your_script.py

On Windows, use a compiler whose target architecture matches Python. A 64-bit Python process needs a 64-bit MinGW-w64/UCRT, Clang, or MSVC-compatible compiler target. Legacy MinGW.org toolchains are not supported because they do not provide the C++ threading runtime used by the simplifier.

Command-line use also supports multi-line PD-code files:

python -m cpp_pd_code_simplify_interface --pd-file inputs.pd --max-paths -1 --verbose

Build And Publish

From this directory:

poetry build
poetry publish

Use poetry publish --build to build and upload in one command.

For local testing:

poetry run python -m cpp_pd_code_simplify_interface "PD[]"