mirror of
https://github.com/harvard-edge/cs249r_book.git
synced 2026-05-08 02:28:25 -05:00
ece6eccf23
Phase 1 (analyzer): top-priority cells: tinyml/parallelism (0/90),
tinyml/networking (2/90), mobile/parallelism (0/127),
edge/parallelism (12/152), global/L4-L6+ deeply empty.
Phase 2 (loop): 6 iterations, 50 of 80 API calls used, 630 drafts
generated (52% PASS / 19% NEEDS_FIX / 26% DROP /
~6% unjudged). Saturation reason: same top-priority
cell two iterations in a row — converged. Top-priority
decay 2.25 → 2.14 → 2.03 → 1.93 → 1.83 plateaued;
generator cannot meaningfully shrink
tinyml/specification/L6+ further within current
prompt framing. Both halt conditions (gap-threshold
0.8, max-calls 80) had headroom; structural
convergence fired first. Loop defaults bumped:
max-iters 20 → 30, max-calls 60 → 80, batch 12 → 30,
calls/iter 3 → 4, judge chunk 15 → 25.
Phase 3 (quality): Spot-read 4 PASS items + visuals across cloud/edge/
mobile/tinyml. All technically sound, math correct,
real hardware grounding (MI300X, Jetson Orin,
Cortex-M4 BLE), SVGs follow svg-style.md palette.
Systemic finding: generator emitted 462 drafts with
malformed competency_area values (60 distinct
patterns: zones-as-area, bloom-verbs-as-area,
underscore hallucinations, dash-form/slash-form
concatenations). Resolved by extending
fix_competency_areas.py REMAP table; re-run cleanup
mapped all 462 to canonical. Root cause —
generator skips Pydantic validation at write time —
flagged for follow-on fix; not blocking.
Phase 4 (promote): 320 PASS items promoted; bundle 9,224 → 9,544
published (exactly +320). Visual assets: 234 in
bundle, mirrored to staffml/public/.
Phase 5 (paper): Cut 0.1.1 release (patch bump: content addition,
no schema change). release_hash 0350da5706e6.
macros.tex regenerated to 9,544/87 topics/
13 areas/11 zones; 4 figures rebuilt; paper.tex
zone counts updated (1,583/1,227/1,113 →
1,615/1,256/1,144). PDF compiles to 25 pages,
no LaTeX errors (citation warnings pre-existing).
Phase 6 (GUI): All 8 Playwright tests pass on fresh dev server.
/practice HTML contains zero malformed area names
(down from 60 distinct pre-fix).
Phase 7 (manifest): vault-manifest.json refreshed: questionCount
9224 → 9544, contentHash 539eb877f9cc → 0350da5706e6,
track + level distributions updated to match
0.1.1 corpus.
Loop run dir: interviews/vault/_validation_results/coverage_loop/20260425_150712
Deferred queue (next session): 120 NEEDS_FIX items carrying judge
fix_suggestions + 165 DROP items, plus the generator validate-at-write fix.
The runbook (vault/docs/MASSIVE_BUILD_RUNBOOK.md) is the methodology
this session followed; can be re-run on any future generation day.
13 lines
428 B
Python
13 lines
428 B
Python
import os
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import matplotlib.pyplot as plt
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mem_types = ['SRAM Cap', 'Flash Cap', 'Model Size']
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values = [256, 1024, 300]
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plt.figure(figsize=(6, 4))
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bars = plt.bar(mem_types, values, color=['#4a90c4', '#4a90c4', '#c87b2a'])
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plt.axhline(256, color='red', linestyle='--')
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plt.ylabel('Size (KB)')
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plt.title('Memory Constraints')
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out = os.environ.get('VISUAL_OUT_PATH', 'out.svg')
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plt.savefig(out, format='svg', bbox_inches='tight') |