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Update example_01_basic_run.py

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PSBigBig 2025-06-11 20:03:31 +08:00 • committed by GitHub
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example_01_basic_run.py
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from wfgy_core import WFGYRunner # example_01_basic_run.py
# Basic WFGY smoke test (local, deterministic)
# Run: python examples/example_01_basic_run.py
# Create the runner import numpy as np
runner = WFGYRunner() import wfgy_sdk as w
# Test prompt
prompt = "Why don't AIs like to take showers?" prompt = "Why don't AIs like to take showers?"
# Mock semantic vectors (demo purpose only)
I = np.random.randn(64)
G = np.random.randn(64)
logits = np.random.randn(32000)
# Run the model engine = w.get_engine(reload=True) # singleton; debug ON by default
result = runner.run(prompt) state = engine.run(
input_vec=I,
ground_vec=G,
logits=logits,
return_all=True
)
# Output results print("\n=== Prompt ===")
print("=== Prompt ===") print(prompt)
print(result["prompt"]) print("=== Modulated logits (slice) ===")
print(state["logits_mod"][:10])
print("=== Output ===") print(f"=== Residue ‖B‖ = {state['B_norm']:.4f} | f_S = {state['f_S']:.4f} | collapse = {state['_collapse']}")
print(result["output"])
print("=== BBMC Residue ===")
print(result["BBMC_residue"])
print("=== BBPF Paths ===")
print(result["BBPF_paths"])
print("=== BBCR Reset State ===")
print(result["BBCR_reset_state"])
print("=== BBAM Modulated ===")
print(result["BBAM_modulated"])