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tidal wave script 100 hours runtime sim

# ============================================================ # TEST 10.8 — Critical Transition, Breather & Memory Suite (v4) # Uses BIG_GIANT_SOLVER_FILE_Test10_core_solver.py # ============================================================ import os import json import numpy as np import matplotlib.pyplot as plt from BIG_GIANT_SOLVER_FILE_Test10_core_solver import run_test10_core_solver try: from google.colab import files IN_COLAB = True except ImportError: IN_COLAB = False # ------------------------------------------------------------ # GLOBAL CONFIG # ------------------------------------------------------------ DX = 0.1 DT = 0.001 V = 1.0 MU = -1.0 LAM = 1.0 RESULTS_DIR = "results_10_8" os.makedirs(RESULTS_DIR, exist_ok=True) # Which tests to run (staged) RUN_10_8A = True # Critical transition verification RUN_10_8B = True # Breather survival RUN_10_8C = True # Recovery / attractor RUN_10_8D = False # Deliberate damage RUN_10_8E = False # Crit...
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Test10_7A_summary.json

================ SUMMARY JSON ================ [ { "kappa": 0.0, "classification": "decaying", "gamma_core": -0.007976923691253216, "gamma_halo": 6.0807170639014504e-05, "core_norm_change_pct": 30.71501440285394, "far_field_change_pct": 6.539963551188815, "max_amplitude": 1.2183332479377817, "hamiltonian_change_pct": -3.3732642996742888, "dominant_freq_core": 0.21999560008799823, "dominant_freq_halo": 0.21999560008799823, "t_divergence": null }, { "kappa": 0.01, "classification": "decaying", "gamma_core": -0.006546117806485338, "gamma_halo": 6.23018107543404e-05, "core_norm_change_pct": 28.384800439342285, "far_field_change_pct": 6.552423418178369, "max_amplitude": 1.207632223725454, "hamiltonian_chan...
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Long notes 2 script ->

import os from google.colab import files # Define search parameters based on your environment configurations search_roots = [ "/content/drive/MyDrive/", "/content/drive/MyDrive/FRCMFD_Test8" ] target_files = ["Psi_test8_final.npy", "Pi_test8_final.npy", "test8_history.json"] print("[Downloader] Initiating scan for finished Test 8 data blocks...") for target in target_files: file_located = False for base_path in search_roots: if not os.path.exists(base_path): continue # Check direct path execution direct_target = os.path.join(base_path, target) if os.path.exists(direct_target): print(f"[Found] Triggering laptop download for: {direct_target}") files.download(direct_target) file_located = True break # Deep walk search to catch timestamped backup folders for root, ...
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