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phase 1 -1000 grid results
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Lines changed: 803 additions & 4 deletions

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‎models/config.py‎

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@@ -190,7 +190,7 @@ def estimate_runtime(self, n_cores: int = 32) -> str:
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#FIXME: These configs are arbitraty and should be finalized before running experiments.
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PHASE1_CONFIG = Config(
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grid_size=100,
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grid_size=1000,
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n_prey_death=20,
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prey_birth=0.2,
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prey_death_range=(0.0, 0.20),
@@ -209,9 +209,9 @@ def estimate_runtime(self, n_cores: int = 32) -> str:
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PHASE2_CONFIG = Config(
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grid_size=100,
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n_prey_birth=10,
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n_replicates=10,
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warmup_steps=100,
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measurement_steps=1000,
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n_replicates=30,
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warmup_steps=300,
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measurement_steps=500,
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with_evolution=True,
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evolve_sd=0.10,
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collect_pcf=False, # Not needed for SOC analysis

‎phase1_18676818/experiments.log‎

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2026-01-25 20:40:38,449 [INFO] ============================================================
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2026-01-25 20:40:38,450 [INFO] PREDATOR-PREY HYDRA EFFECT EXPERIMENTS
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2026-01-25 20:40:38,450 [INFO] ============================================================
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2026-01-25 20:40:38,450 [INFO] Phases: [1]
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2026-01-25 20:40:38,450 [INFO] Output: results/phase1_18676818
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2026-01-25 20:40:38,450 [INFO] Cores: 32
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2026-01-25 20:40:38,450 [INFO] Numba: ENABLED
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2026-01-25 20:40:38,450 [INFO]
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2026-01-25 20:40:38,450 [INFO] ============================================================
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2026-01-25 20:40:38,450 [INFO] PHASE 1
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2026-01-25 20:40:38,450 [INFO] ============================================================
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2026-01-25 20:40:38,450 [INFO] Estimated: 9,000 sims, ~5.3h on 32 cores (~170 core-hours)
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2026-01-25 20:40:38,450 [INFO] Dry run - skipping execution
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2026-01-25 20:40:38,450 [INFO]
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2026-01-25 20:40:38,450 [INFO] ============================================================
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2026-01-25 20:40:38,450 [INFO] EXPERIMENTS COMPLETE
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2026-01-25 20:40:38,450 [INFO] ============================================================
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2026-01-25 20:40:39,614 [INFO] ============================================================
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2026-01-25 20:40:39,615 [INFO] PREDATOR-PREY HYDRA EFFECT EXPERIMENTS
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2026-01-25 20:40:39,615 [INFO] ============================================================
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2026-01-25 20:40:39,615 [INFO] Phases: [1]
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2026-01-25 20:40:39,615 [INFO] Output: results/phase1_18676818
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2026-01-25 20:40:39,615 [INFO] Cores: 32
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2026-01-25 20:40:39,615 [INFO] Numba: ENABLED
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2026-01-25 20:40:39,615 [INFO]
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2026-01-25 20:40:39,615 [INFO] ============================================================
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2026-01-25 20:40:39,615 [INFO] PHASE 1
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2026-01-25 20:40:39,615 [INFO] ============================================================
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2026-01-25 20:40:39,615 [INFO] Estimated: 9,000 sims, ~5.3h on 32 cores (~170 core-hours)
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2026-01-25 20:40:45,417 [INFO] Phase 1: 600 simulations
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2026-01-25 20:40:45,417 [INFO] Grid: 20 prey_death values × 30 reps (prey_birth=0.2)
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2026-01-25 20:47:56,961 [INFO] Phase 1 complete. Results: results/phase1_18676818/phase1_results.jsonl
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2026-01-25 20:47:57,002 [INFO] Phase 1 runtime: 7.3 minutes
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2026-01-25 20:47:57,002 [INFO]
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2026-01-25 20:47:57,002 [INFO] ============================================================
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2026-01-25 20:47:57,002 [INFO] EXPERIMENTS COMPLETE
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2026-01-25 20:47:57,002 [INFO] ============================================================

‎phase1_18676818/phase1_config.json‎

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{
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"grid_size": 1000,
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"densities": [
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0.3,
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0.15
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],
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"grid_sizes": [
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100,
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200,
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500,
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1000
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],
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"prey_birth": 0.2,
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"prey_death": 0.05,
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"predator_birth": 0.8,
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"predator_death": 0.05,
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"critical_prey_birth": 0.22,
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"critical_prey_death": 0.04,
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"prey_birth_range": [
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0.1,
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0.35
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],
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"prey_death_range": [
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0.0,
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0.2
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],
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"n_prey_birth": 15,
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"n_prey_death": 20,
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"predator_birth_values": [
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0.15,
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0.2,
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0.25,
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0.3
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],
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"predator_death_values": [
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0.05,
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0.1,
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0.15,
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0.2
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],
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"prey_death_offsets": [
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-0.02,
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-0.01,
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0.0,
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0.01,
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0.02
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],
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"n_replicates": 30,
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"warmup_steps": 300,
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"measurement_steps": 500,
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"with_evolution": false,
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"evolve_sd": 0.1,
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"evolve_min": 0.001,
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"evolve_max": 0.1,
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"sensitivity_sd_values": [
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0.02,
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0.05,
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0.1,
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0.15,
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0.2
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],
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"synchronous": false,
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"directed_hunting": false,
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"directed_hunting_values": [
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false,
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true
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],
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"save_timeseries": false,
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"timeseries_subsample": 10,
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"collect_pcf": true,
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"pcf_sample_rate": 0.2,
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"pcf_max_distance": 20.0,
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"pcf_n_bins": 20,
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"min_density_for_analysis": 0.002,
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"perturbation_magnitude": 0.1,
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"n_jobs": 32
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}

‎phase1_18676818/phase1_metadata.json‎

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{
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"phase": 1,
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"description": "Parameter sweep for critical point",
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"n_sims": 600,
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"timestamp": "2026-01-25 20:47:56",
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"config": {
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"grid_size": 1000,
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"densities": [
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0.3,
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0.15
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],
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"grid_sizes": [
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100,
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200,
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500,
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1000
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],
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"prey_birth": 0.2,
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"prey_death": 0.05,
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"predator_birth": 0.8,
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"predator_death": 0.05,
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"critical_prey_birth": 0.22,
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"critical_prey_death": 0.04,
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"prey_birth_range": [
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0.1,
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0.35
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],
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"prey_death_range": [
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0.0,
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0.2
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],
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"n_prey_birth": 15,
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"n_prey_death": 20,
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"predator_birth_values": [
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0.15,
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0.2,
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0.25,
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0.3
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],
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"predator_death_values": [
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0.05,
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0.1,
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0.15,
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0.2
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],
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"prey_death_offsets": [
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-0.02,
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-0.01,
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0.0,
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0.01,
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0.02
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],
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"n_replicates": 30,
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"warmup_steps": 300,
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"measurement_steps": 500,
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"with_evolution": false,
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"evolve_sd": 0.1,
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"evolve_min": 0.001,
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"evolve_max": 0.1,
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"sensitivity_sd_values": [
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0.02,
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0.05,
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0.1,
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0.15,
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0.2
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],
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"synchronous": false,
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"directed_hunting": false,
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"directed_hunting_values": [
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false,
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true
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],
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"save_timeseries": false,
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"timeseries_subsample": 10,
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"collect_pcf": true,
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"pcf_sample_rate": 0.2,
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"pcf_max_distance": 20.0,
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"pcf_n_bins": 20,
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"min_density_for_analysis": 0.002,
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"perturbation_magnitude": 0.1,
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"n_jobs": 32
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}
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}

‎phase1_18676818/phase1_results.jsonl‎

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‎scripts/experiments.py‎

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@@ -396,6 +396,8 @@ def run_phase2(cfg: Config, output_dir: Path, logger: logging.Logger) -> List[Di
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NOTE: Test is currently start evo from different intial prey_death values (?)
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If SOC holds, then all runs converge to the same final prey_death near critical point.
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FIXME: This run script needs to be adjusted
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"""
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from joblib import Parallel, delayed
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