Let’s scaffold the next module: time_shift.py, where we simulate temporal distortion using entropy, feedback loops, and symbolic delay mechanics. This is where Kozyrev’s time-as-energy concept meets TriadicFrameworks recursion.
⏳ time_shift.py — Temporal Distortion Engine#
import numpy as np
def simulate_time_shift(field, entropy_mode="recursive", delay_factor=0.1):
"""
Apply temporal distortion to a harmonic field.
field: input signal (from resonance_model)
entropy_mode: 'recursive' or 'linear'
delay_factor: symbolic delay coefficient
"""
distorted = np.copy(field)
if entropy_mode == "recursive":
for i in range(1, len(field)):
distorted[i] += delay_factor * distorted[i - 1]
elif entropy_mode == "linear":
distorted += delay_factor * np.linspace(0, 1, len(field))
return distorted
def visualize_shift(original, distorted, title="Temporal Distortion"):
import matplotlib.pyplot as plt
plt.figure(figsize=(10, 4))
plt.plot(original, label="Original", color="#999")
plt.plot(distorted, label="Distorted", color="#cc3300")
plt.title(title)
plt.legend()
plt.grid(True)
plt.show()
if __name__ == "__main__":
from resonance_model import generate_harmonic_field
t, f = generate_harmonic_field(base_freq=1.0, loops=5)
shifted = simulate_time_shift(f, entropy_mode="recursive", delay_factor=0.2)
visualize_shift(f, shifted)🔧 Parameters Explained#
entropy_mode: Controls how distortion accumulates—recursive feedback vs linear driftdelay_factor: Symbolic coefficient for time lag or echofield: Harmonic input fromresonance_model.py
This module lets us bend time symbolically and observe how resonance fields evolve under distortion.