🚀 QUICKSTART: Tops — Triconceptual Simulations (Refreshed v1.3)
The tops suite explores perception through three modes:
- Direct view
- Reflective view
- Inversion logic
✨ New in v1.3: Resonance Clarity
All modes now accept a --basetype switch, letting you select a number‑base lens (common, extended, non‑integer, or speculative). This lens transforms the geometry and resonance patterns of each simulation.
🧭 Step 1: Run a Session#
Launch a triconceptual session with a chosen base lens:
# Reflection + inversion with golden ratio base
python tops_session.py --mode reflection_inversion --basetype=phiModes available:
directreflectiveinversionreflection_inversion(combined)
📄 Step 2: Save Outputs#
All simulations call output_manager.py. By default, outputs are saved as:
.txt— human‑readable.json— structured metadata.parquet— HPC/grid‑ready.fff— Triadic Framework File (ternary lineage format)
Example:
from output_manager import save_output
data = [[1, 0, -1], [0, 1, 1], [-1, 0, 1]]
metadata = {
"Mode": "reflection_inversion",
"Observer": "tops",
"BaseLens": "phi"
}
save_output(data, "outputs/reflection_inversion", formats=["fff","json"], metadata=metadata)🌀 Step 3: Compare Glyphs#
Use glyph_compare.py to visualize differences across base lenses:
# Compare outputs with negabinary base
python glyph_compare.py --files outputs/reflection_inversion.fff --basetype=negabinaryThis produces symbolic overlays (SVG/PNG) with the base lens declared in the title.
⚡ Step 4: Resonance Clarity Switch#
Supported Base Types#
- Common: binary, decimal, hex, octal, sexagesimal
- Extended: negabinary, negadecimal
- Non‑integer: phi, pi, sqrt2, e
- Speculative: corridor6.9, vigquinary20.5, triadic3phi
Example Runs#
# Direct views with binary base
python direct_view.py --basetype=binary
# Reflections with negabinary base
python reflective_view.py --basetype=negabinary
# Inversions with corridor6.9 base
python inversion_logic.py --basetype=corridor6.9🪐 Legacy Note#
The tops suite is the engine of perception in the 3Pack.
It encodes direct, reflective, and inverted views into lineage artifacts for remixers.
With Resonance Clarity, every artifact now declares its base lens, ensuring harmonic transparency.
🛡️ Cross‑links#
- nous → runtime environment
- entft → protocol layer orchestrated by Thor
- folds → resonance data consumed by Thor
- ai_pipeline → predictive intelligence
- overlays → visualization layer
✨ With this refresh, the Quickstart scroll now teaches Resonance Clarity by example—remixers can immediately run sessions, save outputs, and compare glyphs across different base lenses.