pylmcf

pylmcf: Python bindings for Min Cost Flow solvers from the LEMON graph library

Overview

pylmcf provides Python bindings for the min-cost flow solvers implemented in the LEMON graph library. It enables efficient network flow optimization in Python applications. It is used by wnet (a Python package enabling the efficient computation of Wasserstein and Truncated Wasserstein distance between multidimensional distributions) and wnetalign (a Python package enabling efficient alignment of MS or NMR spectra).

Features

Fast min-cost flow computation using C++ backend (LEMON's Network Simplex by default)
Multiple solver variants: Network Simplex, Cycle Canceling, Cost Scaling, Capacity Scaling
Supports capacities, costs, supplies/demands, and per-edge lower bounds (minimum flow)
NetworkX integration: construct from nx.DiGraph or convert results back for visualization
C++ headers exposed for downstream packages that want to call the solver directly

Installation

pip install pylmcf

Optional extras for NetworkX support and visualization:

pip install pylmcf[extras]

Usage

Basic usage

import numpy as np
import pylmcf

# 3-node graph with edges 0→1, 0→2, 1→2
# Edges must be sorted by (start, end)
G = pylmcf.Graph(3,
    edge_starts=np.array([0, 0, 1]),
    edge_ends=np.array([1, 2, 2]))

G.set_node_supply(np.array([5, 0, -5]))   # node 0 supplies 5, node 2 demands 5
G.set_edge_costs(np.array([1, 3, 5]))
G.set_edge_capacities(np.array([3, 3, 5]))

G.solve()

G.result()      # np.array([2, 3, 2])  — flow on each edge
G.total_cost()  # 21

Per-edge lower bounds (minimum flow)

G.set_edge_minimums(np.array([3, 0, 0]))  # edge 0→1 must carry at least 3 units
G.solve()
G.result()      # np.array([3, 2, 3])
G.total_cost()  # 24

Constructing from a NetworkX graph

Note: Graph.FromNX() iterates over graph elements in Python and is significantly slower than constructing Graph directly from numpy arrays. Prefer the direct API for performance-sensitive code.

import networkx as nx

G_nx = nx.DiGraph()
G_nx.add_edge(0, 1, weight=1, capacity=3)
G_nx.add_edge(0, 2, weight=3, capacity=3)
G_nx.add_edge(1, 2, weight=5, capacity=5)
G_nx.nodes[0]["demand"] = -5
G_nx.nodes[2]["demand"] = 5

G = pylmcf.Graph.FromNX(G_nx)
G.solve()
G.result()      # np.array([2, 3, 2])

Alternative solvers

The default solver is LEMON's Network Simplex. Three alternatives are available via the low-level functional API:

from pylmcf import pylmcf_cpp
import numpy as np

a = lambda x: np.array(x, dtype=np.int64)
supply = a([5, 0, -5])
starts = a([0, 0, 1])
ends   = a([1, 2, 2])
caps   = a([3, 3, 5])
costs  = a([1, 3, 5])

flows = pylmcf_cpp.lmcf(supply, starts, ends, caps, costs)               # Network Simplex (default)
flows = pylmcf_cpp.lmcf_cycle_canceling(supply, starts, ends, caps, costs)
flows = pylmcf_cpp.lmcf_cost_scaling(supply, starts, ends, caps, costs)   # int32/int64 only
flows = pylmcf_cpp.lmcf_capacity_scaling(supply, starts, ends, caps, costs)  # int32/int64 only

Visualization

G.show()               # display with matplotlib
G.show("graph.png")    # save to file

C++ include path

If you want to call the LEMON solver from your own C++ extension:

python -m pylmcf --include

Requirements

Python 3.9+

Licence

pylmcf is published under the Boost Software Licence. LEMON (which resides in src/pylmcf/cpp/lemon) is also covered by the Boost Software Licence.

Citation

If you use this software, please cite:

Król J, Bochenek M, Jopa S, Kazimierczuk K, Gambin A, Startek MP (2026). WNetAlign: fast and accurate spectra alignment using truncated Wasserstein distance and network simplex. Briefings in Bioinformatics, 27(3), bbag247. https://doi.org/10.1093/bib/bbag247

@article{krol2026wnetalign,
  title   = {WNetAlign: fast and accurate spectra alignment using truncated Wasserstein distance and network simplex},
  author  = {Kr{\'o}l, Justyna and Bochenek, Maria and Jopa, Sylwia and Kazimierczuk, Krzysztof and Gambin, Anna and Startek, Micha{\l} Piotr},
  journal = {Briefings in Bioinformatics},
  volume  = {27},
  number  = {3},
  pages   = {bbag247},
  year    = {2026},
  doi     = {10.1093/bib/bbag247}
}

References

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pylmcf-1.1.0.tar.gz (262.1 kB view details)

Uploaded Aug 13, 2026 Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

pylmcf-1.1.0-pp311-pypy311_pp73-win_amd64.whl (663.6 kB view details)

Uploaded Aug 13, 2026 PyPyWindows x86-64

pylmcf-1.1.0-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (563.3 kB view details)

Uploaded Aug 13, 2026 PyPymanylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pylmcf-1.1.0-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (534.1 kB view details)

Uploaded Aug 13, 2026 PyPymanylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

pylmcf-1.1.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl (536.7 kB view details)

Uploaded Aug 13, 2026 PyPymacOS 11.0+ ARM64

pylmcf-1.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl (557.7 kB view details)

Uploaded Aug 13, 2026 PyPymacOS 10.15+ x86-64

pylmcf-1.1.0-cp315-cp315t-win_arm64.whl (836.7 kB view details)

Uploaded Aug 13, 2026 CPython 3.15tWindows ARM64

pylmcf-1.1.0-cp315-cp315t-win_amd64.whl (662.5 kB view details)

Uploaded Aug 13, 2026 CPython 3.15tWindows x86-64

pylmcf-1.1.0-cp315-cp315t-win32.whl (666.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.15tWindows x86

pylmcf-1.1.0-cp315-cp315t-musllinux_1_2_x86_64.whl (1.0 MB view details)

Uploaded Aug 13, 2026 CPython 3.15tmusllinux: musl 1.2+ x86-64

pylmcf-1.1.0-cp315-cp315t-musllinux_1_2_aarch64.whl (975.5 kB view details)

Uploaded Aug 13, 2026 CPython 3.15tmusllinux: musl 1.2+ ARM64

pylmcf-1.1.0-cp315-cp315t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (568.2 kB view details)

Uploaded Aug 13, 2026 CPython 3.15tmanylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pylmcf-1.1.0-cp315-cp315t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (540.9 kB view details)

Uploaded Aug 13, 2026 CPython 3.15tmanylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

pylmcf-1.1.0-cp315-cp315t-macosx_11_0_arm64.whl (542.3 kB view details)

Uploaded Aug 13, 2026 CPython 3.15tmacOS 11.0+ ARM64

pylmcf-1.1.0-cp315-cp315t-macosx_10_15_x86_64.whl (563.6 kB view details)

Uploaded Aug 13, 2026 CPython 3.15tmacOS 10.15+ x86-64

pylmcf-1.1.0-cp315-cp315-win_arm64.whl (834.0 kB view details)

Uploaded Aug 13, 2026 CPython 3.15Windows ARM64

pylmcf-1.1.0-cp315-cp315-win_amd64.whl (660.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.15Windows x86-64

pylmcf-1.1.0-cp315-cp315-win32.whl (664.7 kB view details)

Uploaded Aug 13, 2026 CPython 3.15Windows x86

pylmcf-1.1.0-cp315-cp315-musllinux_1_2_x86_64.whl (1.0 MB view details)

Uploaded Aug 13, 2026 CPython 3.15musllinux: musl 1.2+ x86-64

pylmcf-1.1.0-cp315-cp315-musllinux_1_2_aarch64.whl (972.7 kB view details)

Uploaded Aug 13, 2026 CPython 3.15musllinux: musl 1.2+ ARM64

pylmcf-1.1.0-cp315-cp315-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (565.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.15manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pylmcf-1.1.0-cp315-cp315-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (536.6 kB view details)

Uploaded Aug 13, 2026 CPython 3.15manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

pylmcf-1.1.0-cp315-cp315-macosx_11_0_arm64.whl (540.2 kB view details)

Uploaded Aug 13, 2026 CPython 3.15macOS 11.0+ ARM64

pylmcf-1.1.0-cp315-cp315-macosx_10_15_x86_64.whl (561.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.15macOS 10.15+ x86-64

pylmcf-1.1.0-cp314-cp314t-win_arm64.whl (836.7 kB view details)

Uploaded Aug 13, 2026 CPython 3.14tWindows ARM64

pylmcf-1.1.0-cp314-cp314t-win_amd64.whl (662.5 kB view details)

Uploaded Aug 13, 2026 CPython 3.14tWindows x86-64

pylmcf-1.1.0-cp314-cp314t-win32.whl (666.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.14tWindows x86

pylmcf-1.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl (1.0 MB view details)

Uploaded Aug 13, 2026 CPython 3.14tmusllinux: musl 1.2+ x86-64

pylmcf-1.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl (975.5 kB view details)

Uploaded Aug 13, 2026 CPython 3.14tmusllinux: musl 1.2+ ARM64

pylmcf-1.1.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (568.2 kB view details)

Uploaded Aug 13, 2026 CPython 3.14tmanylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pylmcf-1.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (541.0 kB view details)

Uploaded Aug 13, 2026 CPython 3.14tmanylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

pylmcf-1.1.0-cp314-cp314t-macosx_11_0_arm64.whl (542.3 kB view details)

Uploaded Aug 13, 2026 CPython 3.14tmacOS 11.0+ ARM64

pylmcf-1.1.0-cp314-cp314t-macosx_10_15_x86_64.whl (563.6 kB view details)

Uploaded Aug 13, 2026 CPython 3.14tmacOS 10.15+ x86-64

pylmcf-1.1.0-cp314-cp314-win_arm64.whl (834.0 kB view details)

Uploaded Aug 13, 2026 CPython 3.14Windows ARM64

pylmcf-1.1.0-cp314-cp314-win_amd64.whl (660.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.14Windows x86-64

pylmcf-1.1.0-cp314-cp314-win32.whl (664.7 kB view details)

Uploaded Aug 13, 2026 CPython 3.14Windows x86

pylmcf-1.1.0-cp314-cp314-musllinux_1_2_x86_64.whl (1.0 MB view details)

Uploaded Aug 13, 2026 CPython 3.14musllinux: musl 1.2+ x86-64

pylmcf-1.1.0-cp314-cp314-musllinux_1_2_aarch64.whl (972.7 kB view details)

Uploaded Aug 13, 2026 CPython 3.14musllinux: musl 1.2+ ARM64

pylmcf-1.1.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (565.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pylmcf-1.1.0-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (536.6 kB view details)

Uploaded Aug 13, 2026 CPython 3.14manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

pylmcf-1.1.0-cp314-cp314-macosx_11_0_arm64.whl (540.1 kB view details)

Uploaded Aug 13, 2026 CPython 3.14macOS 11.0+ ARM64

pylmcf-1.1.0-cp314-cp314-macosx_10_15_x86_64.whl (561.3 kB view details)

Uploaded Aug 13, 2026 CPython 3.14macOS 10.15+ x86-64

pylmcf-1.1.0-cp313-cp313-win_arm64.whl (815.0 kB view details)

Uploaded Aug 13, 2026 CPython 3.13Windows ARM64

pylmcf-1.1.0-cp313-cp313-win_amd64.whl (649.2 kB view details)

Uploaded Aug 13, 2026 CPython 3.13Windows x86-64

pylmcf-1.1.0-cp313-cp313-win32.whl (655.1 kB view details)

Uploaded Aug 13, 2026 CPython 3.13Windows x86

pylmcf-1.1.0-cp313-cp313-musllinux_1_2_x86_64.whl (1.0 MB view details)

Uploaded Aug 13, 2026 CPython 3.13musllinux: musl 1.2+ x86-64

pylmcf-1.1.0-cp313-cp313-musllinux_1_2_aarch64.whl (972.2 kB view details)

Uploaded Aug 13, 2026 CPython 3.13musllinux: musl 1.2+ ARM64

pylmcf-1.1.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (565.3 kB view details)

Uploaded Aug 13, 2026 CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pylmcf-1.1.0-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (536.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.13manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

pylmcf-1.1.0-cp313-cp313-macosx_11_0_arm64.whl (540.0 kB view details)

Uploaded Aug 13, 2026 CPython 3.13macOS 11.0+ ARM64

pylmcf-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl (561.2 kB view details)

Uploaded Aug 13, 2026 CPython 3.13macOS 10.13+ x86-64

pylmcf-1.1.0-cp312-cp312-win_arm64.whl (815.1 kB view details)

Uploaded Aug 13, 2026 CPython 3.12Windows ARM64

pylmcf-1.1.0-cp312-cp312-win_amd64.whl (649.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.12Windows x86-64

pylmcf-1.1.0-cp312-cp312-win32.whl (655.1 kB view details)

Uploaded Aug 13, 2026 CPython 3.12Windows x86

pylmcf-1.1.0-cp312-cp312-musllinux_1_2_x86_64.whl (1.0 MB view details)

Uploaded Aug 13, 2026 CPython 3.12musllinux: musl 1.2+ x86-64

pylmcf-1.1.0-cp312-cp312-musllinux_1_2_aarch64.whl (972.2 kB view details)

Uploaded Aug 13, 2026 CPython 3.12musllinux: musl 1.2+ ARM64

pylmcf-1.1.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (565.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pylmcf-1.1.0-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (536.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.12manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

pylmcf-1.1.0-cp312-cp312-macosx_11_0_arm64.whl (540.0 kB view details)

Uploaded Aug 13, 2026 CPython 3.12macOS 11.0+ ARM64

pylmcf-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl (561.2 kB view details)

Uploaded Aug 13, 2026 CPython 3.12macOS 10.13+ x86-64

pylmcf-1.1.0-cp311-cp311-win_arm64.whl (815.7 kB view details)

Uploaded Aug 13, 2026 CPython 3.11Windows ARM64

pylmcf-1.1.0-cp311-cp311-win_amd64.whl (650.0 kB view details)

Uploaded Aug 13, 2026 CPython 3.11Windows x86-64

pylmcf-1.1.0-cp311-cp311-win32.whl (655.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.11Windows x86

pylmcf-1.1.0-cp311-cp311-musllinux_1_2_x86_64.whl (1.0 MB view details)

Uploaded Aug 13, 2026 CPython 3.11musllinux: musl 1.2+ x86-64

pylmcf-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl (973.1 kB view details)

Uploaded Aug 13, 2026 CPython 3.11musllinux: musl 1.2+ ARM64

pylmcf-1.1.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (567.1 kB view details)

Uploaded Aug 13, 2026 CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pylmcf-1.1.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (537.2 kB view details)

Uploaded Aug 13, 2026 CPython 3.11manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

pylmcf-1.1.0-cp311-cp311-macosx_11_0_arm64.whl (540.9 kB view details)

Uploaded Aug 13, 2026 CPython 3.11macOS 11.0+ ARM64

pylmcf-1.1.0-cp311-cp311-macosx_10_13_x86_64.whl (561.8 kB view details)

Uploaded Aug 13, 2026 CPython 3.11macOS 10.13+ x86-64

pylmcf-1.1.0-cp310-cp310-win_amd64.whl (650.1 kB view details)

Uploaded Aug 13, 2026 CPython 3.10Windows x86-64

pylmcf-1.1.0-cp310-cp310-win32.whl (655.5 kB view details)

Uploaded Aug 13, 2026 CPython 3.10Windows x86

pylmcf-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl (1.0 MB view details)

Uploaded Aug 13, 2026 CPython 3.10musllinux: musl 1.2+ x86-64

pylmcf-1.1.0-cp310-cp310-musllinux_1_2_aarch64.whl (973.6 kB view details)

Uploaded Aug 13, 2026 CPython 3.10musllinux: musl 1.2+ ARM64

pylmcf-1.1.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (567.6 kB view details)

Uploaded Aug 13, 2026 CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pylmcf-1.1.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (537.6 kB view details)

Uploaded Aug 13, 2026 CPython 3.10manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

pylmcf-1.1.0-cp310-cp310-macosx_11_0_arm64.whl (541.2 kB view details)

Uploaded Aug 13, 2026 CPython 3.10macOS 11.0+ ARM64

pylmcf-1.1.0-cp310-cp310-macosx_10_13_x86_64.whl (562.0 kB view details)

Uploaded Aug 13, 2026 CPython 3.10macOS 10.13+ x86-64

pylmcf-1.1.0-cp39-cp39-win_amd64.whl (651.0 kB view details)

Uploaded Aug 13, 2026 CPython 3.9Windows x86-64

pylmcf-1.1.0-cp39-cp39-win32.whl (656.5 kB view details)

Uploaded Aug 13, 2026 CPython 3.9Windows x86

pylmcf-1.1.0-cp39-cp39-musllinux_1_2_x86_64.whl (1.0 MB view details)

Uploaded Aug 13, 2026 CPython 3.9musllinux: musl 1.2+ x86-64

pylmcf-1.1.0-cp39-cp39-musllinux_1_2_aarch64.whl (973.9 kB view details)

Uploaded Aug 13, 2026 CPython 3.9musllinux: musl 1.2+ ARM64

pylmcf-1.1.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (567.8 kB view details)

Uploaded Aug 13, 2026 CPython 3.9manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pylmcf-1.1.0-cp39-cp39-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (537.8 kB view details)

Uploaded Aug 13, 2026 CPython 3.9manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

pylmcf-1.1.0-cp39-cp39-macosx_11_0_arm64.whl (541.4 kB view details)

Uploaded Aug 13, 2026 CPython 3.9macOS 11.0+ ARM64

pylmcf-1.1.0-cp39-cp39-macosx_10_13_x86_64.whl (562.3 kB view details)

Uploaded Aug 13, 2026 CPython 3.9macOS 10.13+ x86-64

File details

Details for the file pylmcf-1.1.0.tar.gz.

File metadata

Download URL: pylmcf-1.1.0.tar.gz
Upload date: Aug 13, 2026
Size: 262.1 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for pylmcf-1.1.0.tar.gz
Algorithm	Hash digest
SHA256	`9e19a63be77ee54ddd0908f9b3a6286d7d0f4f192e19aca67d853f9f6e4a03d1`
MD5	`84e42cf6b45796e2931ff8c191d9e452`
BLAKE2b-256	`e9ca6cc1c362a7960368a22ce86923c320ab348944e14a46c6518b6506cd2856`

Algorithm	Hash digest
SHA256	`9df6c17c0d5a3a94769e922152d1e961d7d71f1c641f6b83726dfcbc97ce9fe0`
MD5	`8d27f537b3591419d692e1f047c0178a`
BLAKE2b-256	`1a564d35c614939992cede1450251174a8c7523b13b7b78840c9bb5e6905b1d0`

Algorithm	Hash digest
SHA256	`ded5f109a0897f5a29bb36f7cb6905149f04b126646d123ebce50e3f3eb6de48`
MD5	`568fdbefdcc51f3291d5a8e198eb5b67`
BLAKE2b-256	`b278a9693dfd8052014d9711d62def3d081bd5d5ad2f4472b331f23e91c250d7`

Algorithm	Hash digest
SHA256	`e0c6c8b70bcb327df65488641c95a5f4798ed495b506015b6a87af0db7b31f03`
MD5	`f562ca69e8ea69d1b272fe87341d7fe6`
BLAKE2b-256	`13ade1c88b4897beb8992c1a05c71281a884762ddeaf8811287bef8ec8d41ef5`

Algorithm	Hash digest
SHA256	`6966a8c49aaaee63fbc5b07a9088cd36ad549998017c5f489398a9cb5679721a`
MD5	`bc339aa91ced173c8847ab6094531548`
BLAKE2b-256	`946151fc22a3477e1600855c75eb715c721c484c2056240e4cd7dc5adb95d57a`

Algorithm	Hash digest
SHA256	`0c8e7a1879eab2e0c0f11bb7d286663ae193d9da740bc500609dc0c55b3b8f83`
MD5	`dae181cdbfc37b22efd3ab3affa8dfe4`
BLAKE2b-256	`039694783a319fd7f01d6967954a1fbe80c44e2d39ce80703d24b1836d1fdc7a`

Algorithm	Hash digest
SHA256	`6a22195ee0b920b39f28e72f0843bda0f8869f9b4cfe79acb0f9699f33a094f9`
MD5	`8795d29d9098cc7cc92d53a732c64845`
BLAKE2b-256	`ed7fa3fc282e0bfa9b98b73fa47a98fa6a527aa7dbc488a1269ae5ff404603c2`

Algorithm	Hash digest
SHA256	`c2ef17b1d8cd86225f7102d54d381a70c227b5a8942afd0691881ca4b04f7093`
MD5	`60d5796e2ed2408d393b10f85508aafd`
BLAKE2b-256	`7d35d8801991a475f3830d3f7d142c76fbea2762e23f348d7f215082d98fc3a6`

Algorithm	Hash digest
SHA256	`491a4fda7333b5a59ccff68cf44915a07bc4bd34c600d48ab99c247a00a1e612`
MD5	`dedad77ce37ff2b721f3653ff521cb19`
BLAKE2b-256	`178a802d8ab5652ae20c2a6ecb641e049fb19a3af4fa1034a8a1ccc805fffec2`

Algorithm	Hash digest
SHA256	`02110ed2e46f257561e5aa5b77827cb4e4f26200ecdabd9a4ddb960391a34a7d`
MD5	`03ba11767d24250b68b8ecb6d0184de2`
BLAKE2b-256	`ddc194b12fd0b54d4d3c610987050ab276126cb87b1677969df2152a588bc9c7`

Algorithm	Hash digest
SHA256	`40f21219e4a9ccbca841e74dc3b28088ee1523535da3b41eef4284dcad561b7d`
MD5	`005b9ed2c2a0237ad6ecf3b810d888a2`
BLAKE2b-256	`95e8514b6ab5e32771f684b098a58912993b94b9b7666eb258f562bbb1a16382`

Algorithm	Hash digest
SHA256	`7d47f9c682fd5babb4f8084d4b05a1e08e81777a441f7ac7424f762421803298`
MD5	`72785a529cab526a688ea2cb0c2509b9`
BLAKE2b-256	`fd69ed4972868f168be4fdb1f605da355ccb5652f3ce92c0dae38285d38d0f0c`

Algorithm	Hash digest
SHA256	`d6d47b2999b67a543a6a9e9ea493487742ae84cecb80593a390b2812049fb4de`
MD5	`d44dc6da26aa62e629c5ed788f90f9f1`
BLAKE2b-256	`52f8a643f305b3ba31784a391a89fd7991fc797f7cf6668d83797837a41acdc9`

Algorithm	Hash digest
SHA256	`c57cac8f0d388cc73da8ae6be37a3efa3b73ef851b8b90f538c5627fc7987c77`
MD5	`46efe77ea88b9cfb3df7ea3433a7fb2b`
BLAKE2b-256	`b6c3d3663b41a5aec8f424366e653c913b14c60f7138b6de5a4a18c631e3fe6a`

Algorithm	Hash digest
SHA256	`dd2c1383791fdf4916244abea8beab978ca44057df42c05ce6a2ebf956042a67`
MD5	`f42c9e4ac28891d2ed6207c2eb7bd433`
BLAKE2b-256	`2627770fb331edd0f0764053dde91c8305b362892cb453218250389fefe3a18b`

Algorithm	Hash digest
SHA256	`29672425205c078a361f4115f54124ee84b49481797f9e061f0068d5208f61ca`
MD5	`e40d62cfceb8532ee1a787739d8defec`
BLAKE2b-256	`19e483a1239a2a3a022066668d063fbc1a7d097d4f2f86b3f377c58ef94f32c9`

Algorithm	Hash digest
SHA256	`e322769301ed4ca58783f5f95fdd4ddb22bed89c88e56291ae04148ad82202b8`
MD5	`e1b54c5951161407cfd1de58f17208b0`
BLAKE2b-256	`8ff24976984c535a985bdc1af438016fa6f313b9393e032d141be1ab6dc3de04`

Algorithm	Hash digest
SHA256	`6cc5d347d8a3006d5698335a9baa61979780fdbee606db06402ae8ec2d5b3ada`
MD5	`34a3fb6f935e009d25d0c32f56a58f2f`
BLAKE2b-256	`c230165ebbd30c27f57621048312c3974a104462b802a9c31438b52fb80c7d7b`

Algorithm	Hash digest
SHA256	`757afebf1d96ea076c71b43d1d2aeb50f7765cf84bbed3ccecb1df65ffb1f3f2`
MD5	`258cf4783c9708d4db018b7b47e2844d`
BLAKE2b-256	`70af2da7282a6cd7ee7415aff9f71ffd053aad48aaa5d9ffa4e17dc5a7a23c9d`

Algorithm	Hash digest
SHA256	`da9e69e9e98512c169fc794ce019b715ba60f62b6e42284c99e3986398c270ac`
MD5	`acc0b8b2e4329faa4d0c63aca156d40c`
BLAKE2b-256	`25243fd20f76d707be51c433e6c39a79cdf873c0dee206933aaeb4030bbc0aa6`

Algorithm	Hash digest
SHA256	`886f601f6950c95dd1d6425d9ba461b350b31801b8f07db9f157e1b70f3cb41e`
MD5	`2ae77035a3572a7cee05f332a27c978b`
BLAKE2b-256	`9f0f54623c18f495d0bf2fefc3b314daee51c34ab206a1ec9c1ce86518626cd5`

pylmcf 1.1.0

pylmcf: Python bindings for Min Cost Flow solvers from the LEMON graph library

Overview

Features

Installation

Usage

Basic usage

Per-edge lower bounds (minimum flow)

Constructing from a NetworkX graph

Alternative solvers

Visualization

C++ include path

Requirements

Licence

Citation

References

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

License expression

Requires

Provides Extra

Tags

Classifiers

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Algorithm	Hash digest
SHA256	`fe58bbaf134b6ada0cd803a8ca668a5e6fc87e57e79f2b82c4589d2f331acd12`
MD5	`9fcf0258078ba7f6670d5e3e9d08d238`
BLAKE2b-256	`b172bd24f9f2577d77041bcdab12ccd2b33ca7c3970875d2205c7d2deef5b4f3`

Algorithm	Hash digest
SHA256	`d4b1cb7e8fe5dc7b41ad346ca96338ec72ea049d7a8dc19b87618c2caf853db3`
MD5	`50861b8f2c2680cec5795c5b65dcd1c6`
BLAKE2b-256	`cac0f29525189ec02e246fb9b223f2d0a31b39cb16af0bba34119e2c5dcbb23d`

Algorithm	Hash digest
SHA256	`c4ea056e0ac2d0b0ed0c90a77efa290a38ac9c868471304eaa969d051a4a563d`
MD5	`dcd4d87fb277f5703bd55d0c1b5cfe16`
BLAKE2b-256	`b737ea357764e0d01e5051569b2c7192a6a6c44cf1e6346413f390d6b91e7e66`

Algorithm	Hash digest
SHA256	`6169db894dc4edce7528847965806c37c03116a213aeefc41bea21992f43db40`
MD5	`a9c1e07c66ee5a1988106781a7115f33`
BLAKE2b-256	`3a19db99fb325f8c53fecc6e5b061c0b1264d45548d42c6a3c48e3748dcc19f9`

Algorithm	Hash digest
SHA256	`9b0bf696faf566904cb797fbc41c57d6f3e95d101cfdcc828e0d7727f7f1dadf`
MD5	`b55c1ca4fba9b0be8911417434091fd5`
BLAKE2b-256	`e034a5ca7548a960c402e0ceba4978939423413bae4fdcf130e701ee994893c5`

Algorithm	Hash digest
SHA256	`3c4baf71fdf064585322b4d08997ae16d67e5079d85a971b2d0ba3118c9d2812`
MD5	`9d4561a30ca1e1da23137884939b1b05`
BLAKE2b-256	`6709b1269f05b89e3820753c1b2ffa8ff612063b850c23d0769267118ba0c4e2`

Algorithm	Hash digest
SHA256	`a0aba2f0de705adbe9a89bb39060e8061feb5e8a15a011a6ce4b817b1d8de07c`
MD5	`02fad6bfb492f40c68db0f3df35a6008`
BLAKE2b-256	`2b61064ca633d6b20e190be9e2c670177a0c61443b543f8ae889e35e6c7ce5ec`

Algorithm	Hash digest
SHA256	`32f9c60bac69e360cf6205f0d34d401a1bd51ea98d54c35e825584a26c291f09`
MD5	`a4b4540aea9234d02f6f6105fea5e119`
BLAKE2b-256	`e8572f5512aac3b5363e45685da39939f528f6e92492e05f2918cf7b48e04808`

Algorithm	Hash digest
SHA256	`c90ecbb510757c99fb6fd2a6c7b61764fd86ffa19fbc723d8242578a9b72c0e6`
MD5	`30b76ba077b07818e71ede4542b613c7`
BLAKE2b-256	`058b858fdca85c12cc1039ce33f7e575c0115594a25ead94b295e456175678a4`

Algorithm	Hash digest
SHA256	`38db7ff34c736a7ba905a10dd19c1b8d84263ae54450896ce785b2f79bafc03c`
MD5	`032901019999c6164c1752f1be54b155`
BLAKE2b-256	`0c269bb209c3b159842bbad098ee001bc98b19021ee47d5efaa923eb3dca08d4`