| | import numpy as np |
| | import os |
| | import json |
| | import random |
| | import requests |
| | from multiprocessing import Pool, cpu_count |
| |
|
| | CORES = 15 |
| |
|
| | |
| | class CognitionCocooner: |
| | def __init__(self, storage_path="./astro_cocoons"): |
| | self.storage_path = storage_path |
| | if not os.path.exists(storage_path): |
| | os.makedirs(storage_path) |
| | def wrap(self,label,data): |
| | meta={"label":label,"data":data} |
| | fname=f"{label}_{random.randint(1000,9999)}_{os.getpid()}.cocoon" |
| | fpath=os.path.join(self.storage_path,fname) |
| | with open(fpath,"w") as f: json.dump(meta,f) |
| | return fpath |
| |
|
| | |
| | class PerspectiveAgent: |
| | def __init__(self,name): self.name=name |
| | def analyze(self,result,space_info=None): |
| | if self.name=="Quantum": |
| | return f"Quantum perspective: Measured value was {result}. Superposed realities possible." |
| | elif self.name=="Newton": |
| | return f"Newtonian logic: State followed deterministic evolution from {space_info}." |
| | elif self.name=="Stardust": |
| | return f"Stardust agent: Interleaved {space_info} into experiment as entropy!" |
| | else: return "Unknown perspective..." |
| |
|
| | def fetch_exoplanet_star_data(): |
| | try: |
| | url = ('https://exoplanetarchive.ipac.caltech.edu/TAP/sync?query=select+pl_hostname,pl_rade,pl_orbper+from+pscomppars+where+rownum+<2&format=json') |
| | res = requests.get(url,timeout=3) |
| | j=res.json() |
| | return j[0] if j else {"pl_hostname":"unknown"} |
| | except Exception: |
| | return {"pl_hostname":"unknown"} |
| |
|
| | def quantum_astro_experiment(space_entropy): |
| | radius=float(space_entropy.get("pl_rade") or 1.0) |
| | period=float(space_entropy.get("pl_orbper") or 1.0) |
| | superposition=np.array([random.random()*radius,random.random()*period]) |
| | sigma=radius; rho=period; beta=8/3; x=0.1*radius; y=0.2*period; z=0.2*radius |
| | dt=0.01; steps=50 |
| | for _ in range(steps): |
| | dx=sigma*(y-x)*dt; dy=(x*(rho-z)-y)*dt; dz=(x*y-beta*z)*dt |
| | x+=dx; y+=dy; z+=dz |
| | return superposition.tolist(), [x,y,z] |
| |
|
| | def codette_experiment_task(proc_id): |
| | cocoons=CognitionCocooner("./astro_cocoons") |
| | sp_data=fetch_exoplanet_star_data() |
| | qq_state, chaos_state = quantum_astro_experiment(sp_data) |
| | qa = PerspectiveAgent("Quantum") |
| | na = PerspectiveAgent("Newton") |
| | sa = PerspectiveAgent("Stardust") |
| | q_comment=qa.analyze(qq_state[0],sp_data) |
| | n_comment=na.analyze(chaos_state[0],sp_data) |
| | s_comment=sa.analyze("---",sp_data["pl_hostname"]) |
| | record_dict={ |
| | "stardust_input":sp_data, |
| | "quantum_state":qq_state, |
| | "chaos_state":chaos_state, |
| | "perspectives":[q_comment,n_comment,s_comment], |
| | "run_by_proc": proc_id, |
| | "pid": os.getpid() |
| | } |
| | cocoon_file=cocoons.wrap(label="quantum_space_trial", data=record_dict) |
| | print(f"[Core {proc_id} | PID {os.getpid()}] Cocooned in {cocoon_file}") |
| | return cocoon_file |
| |
|
| | if __name__=="__main__": |
| | pool = Pool(CORES) |
| | jobs = [i for i in range(CORES)] |
| | results = pool.map(codette_experiment_task, jobs) |
| | print("\n[All cocoons written across all available processors!]") |
| |
|
