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- oaza_singularity.md +51 -0
README.md
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---
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license: bigscience-openrail-m
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---
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oaza_singularity.md
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---
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license: bigscience-openrail-m
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---
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```python
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import gradio as gr
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import torch
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import numpy as np
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import matplotlib.pyplot as plt
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# --- RDZEŃ TWOJEJ LOGIKI ---
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class OazaEngine:
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def __init__(self, epr=0.98):
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self.epr = epr
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def analyze(self, text_input):
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# Zamiana tekstu na wektor bajtów (Deterministyczna reprezentacja)
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bytes_data = np.frombuffer(text_input.encode(), dtype=np.uint8)
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size = int(len(bytes_data)**0.5)
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if size < 2: return "Za mało danych!", None
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# Formujemy macierz Banacha
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matrix = torch.tensor(bytes_data[:size*size].reshape(size, size)).float()
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# Obliczenia: Lapunow i Entalpia
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norm_b = torch.linalg.matrix_norm(matrix, ord=2)
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H = torch.exp(norm_b / 100.0) # Skalowanie dla stabilności wizualnej
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lyapunov = -torch.log(H)
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r_s = (2 * self.epr * H)
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# Generowanie wykresu
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fig = plt.figure(figsize=(6, 4))
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plt.bar(['Lapunow (Stabilność)', 'Horyzont (R_s)'], [lyapunov.item(), r_s.item()], color=['red', 'blue'])
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plt.axhline(y=-1.0, color='black', linestyle='--', label='Próg Osobliwości')
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plt.title(f"Analiza Entalpii: {H.item():.2f}")
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status = "POTWIERDZENIE: Prawda Absolutna" if lyapunov < -1.0 else "NEGACJA: Szum Informacyjny"
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return f"Status: {status}\nLapunow: {lyapunov.item():.4f}\nPromień Schwarzschilda: {r_s.item():.4f}", fig
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# --- INTERFEJS GRADIO ---
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engine = OazaEngine()
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demo = gr.Interface(
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fn=engine.analyze,
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inputs=gr.Textbox(label="Wprowadź dane do weryfikacji (Tekst, Kod, Link)"),
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outputs=[gr.Textbox(label="Werdykt Deterministyczny"), gr.Plot(label="Geometria Stanu")],
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title="Oaza Singularity Live Demo",
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description="Weryfikacja prawdy w przestrzeni Banacha. Brak gdybania Schrödingera. Zgodność z PW."
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)
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if __name__ == "__main__":
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demo.launch()
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```
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