cuckoo-sim 0.1.1

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cuckoo-sim

Agent-based simulation of cuckoo brood parasitism — modeling the co-evolutionary arms race between cuckoo parasites and their reed warbler host species. Tracks population dynamics, egg-laying strategies, and host detection abilities over many generations.

Installation

pip install cuckoo-sim

Or install from source in editable mode:

git clone <repo-url>
cd Data_And_Script/Model_Script
pip install -e .

Quick Start

GUI

cuckoo-gui

Opens a Tkinter interface with two tabs:

• Configure & Run — set input CSVs, population parameters, spatial grid, and run simulations
• Results — plot population time series, trait evolution, and spatial maps

CLI

cuckoo-sim -c path/to/Cuckoo/ -r path/to/Reeds/ -o path/to/OUT/ \
  -c1 Cuckoo_12.csv -r1 ReedsBird_1.csv -q a -N 300 -M 10

Key arguments:

Flag	Description	Default
-N	Number of simulated years	300
-M	Number of iterations	10
-P	Crowding penalty coefficient	0.9
-D	Detection cost on breeding	0.15
-pm	Penalty mode (exponential / logistic)	exponential
-gw, -gh	Spatial grid width/height	200
-s1..-s4	Sigma values for trait variation	0.02 / 1.0

Python API

from cuckoo_sim import SimConfig, run_simulation, aggregate_time_series

config = SimConfig(
    cuckoo_file="path/to/Cuckoo_12.csv",
    reeds_file="path/to/ReedsBird_1.csv",
    years=100,
    iterations=5,
    grid_width=100,
    grid_height=100,
)

results = run_simulation(config)
agg = aggregate_time_series(results)

for species, data in agg.items():
    print(f"{species}: final mean pop = {data['Total']['mean'][-1]:.0f}")

Dependencies

Python 3.6+, numpy, scipy, matplotlib, tkinter.