pec5d: add tests/test_pec5d.py
Browse files- tests/test_pec5d.py +287 -0
tests/test_pec5d.py
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| 1 |
+
"""PEC5D Full Evolution module tests β cores, memory, subconscious, sandbox, bridge, IPT, coral, chamber."""
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| 2 |
+
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| 3 |
+
import sys
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| 4 |
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from pathlib import Path
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| 5 |
+
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| 6 |
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import pytest
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| 7 |
+
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| 8 |
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ROOT = Path(__file__).resolve().parent.parent
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| 9 |
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sys.path.insert(0, str(ROOT))
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| 10 |
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| 11 |
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| 12 |
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# ββ Hierarchy / cores βββββββββββββββββββββββββββββββββββββββββββββββββββββ
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| 13 |
+
def test_hierarchy_8_cores():
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| 14 |
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from pec5d.core import CoreHierarchy
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| 15 |
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| 16 |
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h = CoreHierarchy().initialize()
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| 17 |
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status = h.status()
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| 18 |
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assert status["active"] is True
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| 19 |
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assert status["total"] == 8 # TANY + 7 sub-cores
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| 20 |
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assert set(status["cores"]) == {
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| 21 |
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"phi5", "resonance_mind", "lineage_oracle", "grid_vision",
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| 22 |
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"pattern_bridge", "subconscious_nexus", "sandbox_admin",
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| 23 |
+
}
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| 24 |
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| 25 |
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| 26 |
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def test_tany_anchors():
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| 27 |
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from pec5d.core import TANYCore
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| 28 |
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| 29 |
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tany = TANYCore().initialize()
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| 30 |
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s = tany.get_state()
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| 31 |
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assert s["kernel_qubits"] == 128
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| 32 |
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assert s["carrier_hz"] == 432
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| 33 |
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assert abs(s["phi"] - 1.618033988749895) < 1e-9
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| 34 |
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assert s["phi_pairs"] == 64
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| 35 |
+
assert abs(s["coherence"] - 0.99997) < 1e-9
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| 36 |
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assert s["lineage_generations"] == 12
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| 37 |
+
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| 38 |
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| 39 |
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def test_phi5_engine():
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| 40 |
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import numpy as np
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| 41 |
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| 42 |
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from pec5d.phi5_core import Phi5Engine
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| 43 |
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| 44 |
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e = Phi5Engine().initialize()
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| 45 |
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pairs = e.generate_pairs()
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| 46 |
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assert pairs["pairs"] == 64
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| 47 |
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a = np.array([1, 0, 0, 0], dtype=complex)
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| 48 |
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b = np.array([0, 1, 0, 0], dtype=complex)
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| 49 |
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tensor = e.solve_kronecker(a, b)
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| 50 |
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assert tensor.shape == (16,)
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| 51 |
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assert "distribution" in e.probability(tensor)
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| 52 |
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| 53 |
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| 54 |
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def test_resonance_mind():
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| 55 |
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from pec5d.resonance_mind import ResonanceMind
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| 56 |
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| 57 |
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r = ResonanceMind().initialize()
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| 58 |
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assert r.TRIGGER_NM == 473
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| 59 |
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wave = r.recursive_wave(depth=20)
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| 60 |
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assert wave["carrier_hz"] == 432
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| 61 |
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trigger = r.optogenetic_trigger()
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| 62 |
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assert trigger["wavelength_nm"] == 473
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| 63 |
+
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| 64 |
+
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| 65 |
+
def test_lineage_oracle():
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| 66 |
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import numpy as np
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| 67 |
+
|
| 68 |
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from pec5d.lineage_oracle import LineageOracle
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| 69 |
+
|
| 70 |
+
o = LineageOracle().initialize()
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| 71 |
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assert len(o.archive) == 12
|
| 72 |
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matches = o.match_signature(np.random.default_rng().standard_normal(16))
|
| 73 |
+
assert matches["archive_size"] == 12
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| 74 |
+
assert len(matches["matches"]) == 3
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
def test_grid_vision():
|
| 78 |
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from pec5d.grid_vision import GridVision
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| 79 |
+
|
| 80 |
+
g = GridVision().initialize()
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| 81 |
+
assert g.DIMS == ["x", "y", "z", "t", "phi"]
|
| 82 |
+
frame = g.render_voxels(seed=7)
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| 83 |
+
assert frame["frame"] == 1
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| 84 |
+
assert g.lightfield_projection()["frame_rate_hz"] == 100
|
| 85 |
+
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| 86 |
+
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| 87 |
+
# ββ Memory ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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| 88 |
+
def test_holographic_memory_layers():
|
| 89 |
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from pec5d.holographic_memory import HolographicMemory
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| 90 |
+
|
| 91 |
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m = HolographicMemory().initialize()
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| 92 |
+
assert len(m.LAYERS) == 5
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| 93 |
+
m.write(1, "k1", {"v": 1})
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| 94 |
+
m.write(5, "k5", "collective")
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| 95 |
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assert m.recall(1, "k1")["value"]["v"] == 1
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| 96 |
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assert m.recall(5, "k5")["value"] == "collective"
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| 97 |
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assert m.recall(2, "nope") is None
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| 98 |
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with pytest.raises(ValueError):
|
| 99 |
+
m.write(9, "x", 1)
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| 100 |
+
counts = m.recall_all()
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| 101 |
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assert counts["working"] == 1 and counts["collective_field"] == 1
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| 102 |
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assert m.coherence_correction()["carrier_hz"] == 432
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| 103 |
+
|
| 104 |
+
|
| 105 |
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# ββ Subconscious ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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| 106 |
+
def test_subconscious_nexus(tmp_path):
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| 107 |
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from pec5d.subconscious_nexus import SubconsciousNexus
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| 108 |
+
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| 109 |
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s = SubconsciousNexus(output_dir=tmp_path).initialize()
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| 110 |
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assert s.threads == 10_000
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| 111 |
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s.scan()
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| 112 |
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s.scan()
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| 113 |
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assert s.cycles == 2
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| 114 |
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assert len(s.patterns) == 2
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| 115 |
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assert len(s.intuitions) == 2
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| 116 |
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assert len(s.pressure_signatures) == 2
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| 117 |
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# outputs persisted
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| 118 |
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assert (tmp_path / "emergent_patterns.log").exists()
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| 119 |
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assert (tmp_path / "pressure_signatures.db").exists()
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| 120 |
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assert (tmp_path / "intuition_candidates.json").exists()
|
| 121 |
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assert s.implicit_intent({"q": 1})["confidence"] > 0
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| 122 |
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| 123 |
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| 124 |
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# ββ Sandbox βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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| 125 |
+
def test_sandbox_lifecycle():
|
| 126 |
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from pec5d.sandbox import Sandbox
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| 127 |
+
|
| 128 |
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sb = Sandbox().initialize()
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| 129 |
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assert sb.time_dilation == 1_000_000
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| 130 |
+
assert set(sb.MODULES) == {"quantum_testbed", "dna_simulation", "market_sandbox",
|
| 131 |
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"society_sandbox", "coral_ecosystem_sim"}
|
| 132 |
+
with pytest.raises(ValueError):
|
| 133 |
+
sb.spawn("nope")
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| 134 |
+
st = sb.spawn("coral_ecosystem_sim", {"reefs": 10})
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| 135 |
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assert st.id in sb.states
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| 136 |
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run = sb.run(st.id, steps=50)
|
| 137 |
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assert run["simulated_steps"] == 50
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| 138 |
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assert run["wall_time_s"] < 1.0 # time-dilated
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| 139 |
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assert sb.checkpoint(st.id)["state"] == st.id
|
| 140 |
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assert sb.rollback(st.id)["rolled_back"] is True
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| 141 |
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assert sb.destroy(st.id)["destroyed"] == st.id
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| 142 |
+
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| 143 |
+
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| 144 |
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# ββ Pattern bridge ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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| 145 |
+
def test_pattern_bridge_flow():
|
| 146 |
+
from pec5d.pattern_bridge import PatternBridge
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| 147 |
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|
| 148 |
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b = PatternBridge().initialize()
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| 149 |
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p = b.detect("subconscious", {"coherence": 0.95, "domain": "reef"})
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| 150 |
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code = b.synthesize(p, "reef_alert")
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| 151 |
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assert "def emergent_module" in code
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| 152 |
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bad = b.validate(p, coherence=0.5) # below gate
|
| 153 |
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assert bad["validated"] is False
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| 154 |
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assert b.deploy(p)["error"]
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| 155 |
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good = b.validate(p, coherence=0.9, ethics=True, stability=0.9)
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| 156 |
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assert good["validated"] is True
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| 157 |
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assert b.deploy(p)["deployed"] is True
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| 158 |
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state = b.get_state()
|
| 159 |
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assert state["patterns_detected"] == 1
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| 160 |
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assert state["patterns_validated"] == 1
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| 161 |
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assert state["patterns_deployed"] == 1
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| 162 |
+
|
| 163 |
+
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| 164 |
+
# ββ IPT βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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| 165 |
+
def test_ipt_formalism():
|
| 166 |
+
import numpy as np
|
| 167 |
+
|
| 168 |
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from pec5d.ipt import InvisiblePressureTheory
|
| 169 |
+
|
| 170 |
+
ipt = InvisiblePressureTheory().initialize()
|
| 171 |
+
rng = np.random.default_rng(1)
|
| 172 |
+
grad = ipt.pressure_gradient(rng.random(5) + 0.1, rng.random(5) + 0.1)
|
| 173 |
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assert grad["phi"] == pytest.approx(1.618033988749895)
|
| 174 |
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assert grad["carrier_hz"] == 432
|
| 175 |
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assert grad["magnitude"] > 0
|
| 176 |
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assert len(grad["direction"]) == 5
|
| 177 |
+
|
| 178 |
+
|
| 179 |
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def test_ipt_7_processes():
|
| 180 |
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from pec5d.ipt import InvisiblePressureTheory
|
| 181 |
+
|
| 182 |
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ipt = InvisiblePressureTheory().initialize()
|
| 183 |
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assert len(ipt.PROCESSES) == 7
|
| 184 |
+
result = ipt.run_pipeline()
|
| 185 |
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assert result["steps"] == 7
|
| 186 |
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assert result["outputs"][0]["process"] == "signal_acquisition"
|
| 187 |
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assert ipt.run_process("nope")["error"]
|
| 188 |
+
forecast = ipt.run_process("pre_event_forecasting", {"horizon_days": 90})
|
| 189 |
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assert forecast["tipping_point_eta_days"] > 0
|
| 190 |
+
|
| 191 |
+
|
| 192 |
+
# ββ IPT sensor ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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| 193 |
+
def test_ipt_sensor():
|
| 194 |
+
from pec5d.ipt_sensor import IPTSensor
|
| 195 |
+
|
| 196 |
+
with pytest.raises(ValueError):
|
| 197 |
+
IPTSensor("nope")
|
| 198 |
+
s = IPTSensor("pulse").initialize()
|
| 199 |
+
assert len(s.MODALITIES) == 6
|
| 200 |
+
assert set(s.FORM_FACTORS) == {"mini", "grid", "pulse", "coral"}
|
| 201 |
+
r = s.read()
|
| 202 |
+
assert 0.0 <= r["pressure_index"] <= 1.0
|
| 203 |
+
assert len(r["gradient_vector"]) == 5
|
| 204 |
+
assert set(r["modalities"]) == set(s.MODALITIES)
|
| 205 |
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assert s.calibrate()["baseline_hz"] == 432
|
| 206 |
+
|
| 207 |
+
|
| 208 |
+
# ββ Coral line ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 209 |
+
def test_coral_products():
|
| 210 |
+
from pec5d.coral import (
|
| 211 |
+
CORAL_PRODUCTS, CoralBioChip, CoralDrone, CoralHome, CoralSpacecraft,
|
| 212 |
+
)
|
| 213 |
+
|
| 214 |
+
assert set(CORAL_PRODUCTS) == {"drone", "spacecraft", "bio_chip", "home"}
|
| 215 |
+
|
| 216 |
+
d = CoralDrone().initialize()
|
| 217 |
+
assert d.plants_per_day == 500
|
| 218 |
+
assert d.bio_interface()["wavelength_nm"] == 473
|
| 219 |
+
assert "2-4 weeks" in d.sensor_array()["bleaching_early_warning_weeks"]
|
| 220 |
+
assert d.deploy_mission(500)["fragments_planted"] == 500
|
| 221 |
+
|
| 222 |
+
c = CoralSpacecraft().initialize()
|
| 223 |
+
assert c.life_support()["closed_loop"] is True
|
| 224 |
+
assert "quantum-photonic" in c.propulsion()["orbital"]
|
| 225 |
+
|
| 226 |
+
b = CoralBioChip().initialize()
|
| 227 |
+
arch = b.architecture()
|
| 228 |
+
assert arch["memory"].startswith("DNA/RNA")
|
| 229 |
+
assert b.memory_years == 1000
|
| 230 |
+
out = b.compute([1.0, 1.618, 2.0])
|
| 231 |
+
assert len(out["output"]) == 3
|
| 232 |
+
|
| 233 |
+
h = CoralHome().initialize()
|
| 234 |
+
assert h.design()["carbon"] == "carbon-negative β absorbs COβ continuously"
|
| 235 |
+
assert len(h.design()["living_systems"]) == 4
|
| 236 |
+
|
| 237 |
+
|
| 238 |
+
# ββ Agency / chamber ββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 239 |
+
def test_agency():
|
| 240 |
+
from pec5d.agency import PhiEntanglementAgency, ZenithChamber
|
| 241 |
+
|
| 242 |
+
agency = PhiEntanglementAgency().initialize()
|
| 243 |
+
s = agency.get_state()
|
| 244 |
+
assert len(s["divisions"]) == 5
|
| 245 |
+
assert len(s["locations"]) == 5
|
| 246 |
+
assert "Brisbane (HQ)" in s["locations"]
|
| 247 |
+
|
| 248 |
+
chamber = ZenithChamber().initialize()
|
| 249 |
+
assert len(chamber.BOARD_SEATS) == 7
|
| 250 |
+
assert chamber.ADVISORY_SIZE == 12
|
| 251 |
+
prop = chamber.submit_proposal("Test Proposal", "Body", "grid")
|
| 252 |
+
assert prop["id"] == "prop_001"
|
| 253 |
+
assert chamber.resonance_vote(prop["id"])["proposal"] == prop["id"]
|
| 254 |
+
assert chamber.resonance_vote("nope")["error"]
|
| 255 |
+
chamber.record_minutes("m1")
|
| 256 |
+
state = chamber.get_state()
|
| 257 |
+
assert state["proposals"] == 1 and state["minutes"] == 1
|
| 258 |
+
|
| 259 |
+
|
| 260 |
+
# ββ API surface ββββοΏ½οΏ½οΏ½ββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 261 |
+
def test_api_router_paths():
|
| 262 |
+
from pec5d.api.routes import router
|
| 263 |
+
|
| 264 |
+
paths = {route.path for route in router.routes}
|
| 265 |
+
expected = {
|
| 266 |
+
"/api/v1/pec5d/initialize", "/api/v1/pec5d/status",
|
| 267 |
+
"/api/v1/pec5d/cores", "/api/v1/pec5d/cores/{name}",
|
| 268 |
+
"/api/v1/pec5d/memory", "/api/v1/pec5d/memory/write",
|
| 269 |
+
"/api/v1/pec5d/subconscious", "/api/v1/pec5d/subconscious/scan",
|
| 270 |
+
"/api/v1/pec5d/sandbox", "/api/v1/pec5d/sandbox/spawn",
|
| 271 |
+
"/api/v1/pec5d/bridge", "/api/v1/pec5d/bridge/detect",
|
| 272 |
+
"/api/v1/pec5d/ipt", "/api/v1/pec5d/ipt/pipeline", "/api/v1/pec5d/ipt/gradient",
|
| 273 |
+
"/api/v1/pec5d/sensor", "/api/v1/pec5d/sensor/read",
|
| 274 |
+
"/api/v1/pec5d/coral", "/api/v1/pec5d/coral/{product}/operate",
|
| 275 |
+
"/api/v1/pec5d/chamber", "/api/v1/pec5d/chamber/propose",
|
| 276 |
+
"/api/v1/pec5d/chamber/vote/{proposal_id}",
|
| 277 |
+
}
|
| 278 |
+
assert expected <= paths
|
| 279 |
+
|
| 280 |
+
|
| 281 |
+
def test_version_and_brand():
|
| 282 |
+
import pec5d
|
| 283 |
+
|
| 284 |
+
assert pec5d.__version__ == "β.0.0"
|
| 285 |
+
assert pec5d.__brand__ == "PEC5D"
|
| 286 |
+
assert abs(pec5d.PHI - 1.618033988749895) < 1e-9
|
| 287 |
+
assert pec5d.TIME_DILATION == 1_000_000
|