numnom
A fast MPS file parser for Python, powered by Rust.
- Fast: 745 MB/s throughput on raw MPS text (4.2× faster than SCIP on MIPLIB 2017)
- Zero-copy numpy arrays: model data lands directly in numpy with no extra copies
- Compressed files: reads
.mps.gzwith SIMD-accelerated decompression - Well-tested: 0 failures across all 1065 MIPLIB 2017 instances
Install
pip install numnom
# Optional: scipy.sparse integration
pip install "numnom[scipy]"
Usage
import numnom
model = numnom.parse_file("problem.mps.gz")
print(model.name, model.num_row, "rows,", model.num_col, "cols")
print("Nonzeros:", model.a_matrix.value.size)
# Numpy arrays — zero-copy from Rust
model.col_cost # np.ndarray[float64], shape (num_col,)
model.col_lower # np.ndarray[float64]
model.col_upper # np.ndarray[float64]
model.row_lower # np.ndarray[float64]
model.row_upper # np.ndarray[float64]
model.col_integrality # np.ndarray[uint8] — see numnom.{CONTINUOUS,INTEGER,...}
# CSC sparse matrix
A = model.a_matrix
A.start # np.ndarray[uint32], shape (num_col + 1,)
A.index # np.ndarray[uint32], shape (nnz,)
A.value # np.ndarray[float64], shape (nnz,)
# Names
model.col_names # list[str]
model.row_names # list[str]
scipy.sparse integration
import numnom
model = numnom.parse_file("problem.mps")
A = numnom.to_scipy(model) # scipy.sparse.csc_matrix, shape (num_row, num_col)
Parse from string
mps_text = open("problem.mps").read()
model = numnom.parse_str(mps_text)
Write MPS
numnom.write_file(model, "out.mps")
mps_text = numnom.write_str(model)
Variable type codes
model.col_integrality is a uint8 array; values map to:
| Code | Constant | Meaning |
|---|---|---|
| 0 | numnom.CONTINUOUS |
Continuous |
| 1 | numnom.INTEGER |
Integer |
| 2 | numnom.SEMI_CONTINUOUS |
Semi-continuous |
| 3 | numnom.SEMI_INTEGER |
Semi-integer |
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for numnom 0.4.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numnom-0.4.3.tar.gz | 27.2 kB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| numnom-0.4.3-cp38-abi3-win_arm64.whl | CPython 3.8 | abi3 | Windows ARM64 | Details |
| numnom-0.4.3-cp38-abi3-win_amd64.whl | CPython 3.8 | abi3 | Windows x86-64 | Details |
| numnom-0.4.3-cp38-abi3-musllinux_1_2_x86_64.whl | CPython 3.8 | abi3 | Linux musl 1.2+ x86-64 | Details |
| numnom-0.4.3-cp38-abi3-musllinux_1_2_aarch64.whl | CPython 3.8 | abi3 | Linux musl 1.2+ ARM64 | Details |
| numnom-0.4.3-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.8 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| numnom-0.4.3-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.8 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| numnom-0.4.3-cp38-abi3-macosx_11_0_arm64.whl | CPython 3.8 | abi3 | macOS 11.0+ ARM64 | Details |
| numnom-0.4.3-cp38-abi3-macosx_10_12_x86_64.whl | CPython 3.8 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 3.1 MB
Release files / numnom-0.4.3.tar.gz
| Download URL | numnom-0.4.3.tar.gz |
|---|---|
| Size | 27.2 kB |
| Tags | Source |
|
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| Size | 273.7 kB |
| Tags | CPython 3.8 Windows ARM64 abi3 |
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