Initial release: 256 certified regions, 27 counterexamples, zero-dependency verifier
Browse files- .github/workflows/ci.yml +31 -0
- .gitignore +9 -0
- LICENSE +21 -0
- README.md +254 -0
- data/certified_regions.jsonl +256 -0
- data/counterexamples.jsonl +27 -0
- data/theorem.json +53 -0
- export.py +231 -0
- loader.py +88 -0
- tests/test_dataset.py +265 -0
- verify.py +274 -0
.github/workflows/ci.yml
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name: CI
|
| 2 |
+
on: { push: { branches: [main] }, pull_request: {}, workflow_dispatch: {} }
|
| 3 |
+
|
| 4 |
+
jobs:
|
| 5 |
+
test:
|
| 6 |
+
runs-on: ubuntu-latest
|
| 7 |
+
steps:
|
| 8 |
+
- uses: actions/checkout@v4
|
| 9 |
+
- uses: actions/setup-python@v5
|
| 10 |
+
with:
|
| 11 |
+
python-version: '3.12'
|
| 12 |
+
- run: pip install pytest ruff
|
| 13 |
+
- name: Dataset claims hold against the data
|
| 14 |
+
run: pytest -q
|
| 15 |
+
- name: Lint
|
| 16 |
+
run: ruff check .
|
| 17 |
+
|
| 18 |
+
zero-dependency:
|
| 19 |
+
name: the verifier really has no dependencies
|
| 20 |
+
runs-on: ubuntu-latest
|
| 21 |
+
steps:
|
| 22 |
+
- uses: actions/checkout@v4
|
| 23 |
+
- uses: actions/setup-python@v5
|
| 24 |
+
with:
|
| 25 |
+
python-version: '3.12'
|
| 26 |
+
# Deliberately no pip install. If verify.py has picked up a third-party
|
| 27 |
+
# import, this job fails -- which is the whole promise of the artifact.
|
| 28 |
+
- name: Re-derive with a bare interpreter
|
| 29 |
+
run: python3 verify.py --samples 10
|
| 30 |
+
- name: The checker still discriminates
|
| 31 |
+
run: python3 verify.py --self-test
|
.gitignore
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
__pycache__/
|
| 2 |
+
*.py[cod]
|
| 3 |
+
build/
|
| 4 |
+
dist/
|
| 5 |
+
*.egg-info/
|
| 6 |
+
.pytest_cache/
|
| 7 |
+
.ruff_cache/
|
| 8 |
+
.venv/
|
| 9 |
+
venv/
|
LICENSE
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Creative Commons Attribution 4.0 International (CC BY 4.0)
|
| 2 |
+
|
| 3 |
+
Copyright 2026 ChipletOS / Genesis contributors
|
| 4 |
+
|
| 5 |
+
You are free to:
|
| 6 |
+
Share — copy and redistribute the material in any medium or format
|
| 7 |
+
Adapt — remix, transform, and build upon the material for any purpose,
|
| 8 |
+
even commercially.
|
| 9 |
+
|
| 10 |
+
Under the following terms:
|
| 11 |
+
Attribution — You must give appropriate credit, provide a link to the
|
| 12 |
+
license, and indicate if changes were made. You may do so in any reasonable
|
| 13 |
+
manner, but not in any way that suggests the licensor endorses you or your
|
| 14 |
+
use.
|
| 15 |
+
|
| 16 |
+
No additional restrictions — You may not apply legal terms or technological
|
| 17 |
+
measures that legally restrict others from doing anything the license permits.
|
| 18 |
+
|
| 19 |
+
Full licence text: https://creativecommons.org/licenses/by/4.0/legalcode
|
| 20 |
+
|
| 21 |
+
THE MATERIAL IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND.
|
README.md
ADDED
|
@@ -0,0 +1,254 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- tabular-classification
|
| 5 |
+
- tabular-regression
|
| 6 |
+
tags:
|
| 7 |
+
- physics
|
| 8 |
+
- electromagnetics
|
| 9 |
+
- verification
|
| 10 |
+
- interval-arithmetic
|
| 11 |
+
- formal-methods
|
| 12 |
+
- counterexamples
|
| 13 |
+
- eda
|
| 14 |
+
- parasitic-extraction
|
| 15 |
+
pretty_name: Screening Ceiling — Certified Regions and Counterexamples
|
| 16 |
+
size_categories:
|
| 17 |
+
- n<1K
|
| 18 |
+
configs:
|
| 19 |
+
- config_name: regions
|
| 20 |
+
data_files: data/certified_regions.jsonl
|
| 21 |
+
- config_name: counterexamples
|
| 22 |
+
data_files: data/counterexamples.jsonl
|
| 23 |
+
---
|
| 24 |
+
|
| 25 |
+
# screening-ceiling
|
| 26 |
+
|
| 27 |
+
     
|
| 28 |
+
|
| 29 |
+
**A machine-certified impossibility result about coupling extraction, plus the
|
| 30 |
+
concrete layouts where a plausible extractor predicts impossible physics.**
|
| 31 |
+
|
| 32 |
+
Most ML-for-physics datasets are samples: here are some inputs, here are the
|
| 33 |
+
answers, fit something. This one is different in a way worth being precise
|
| 34 |
+
about. It carries a **universal claim** — a statement about *every* layout in a
|
| 35 |
+
continuous four-parameter family, established by interval branch-and-bound
|
| 36 |
+
rather than by sampling — together with **existential counterexamples** that
|
| 37 |
+
refute a specific competing method.
|
| 38 |
+
|
| 39 |
+
## Why this exists
|
| 40 |
+
|
| 41 |
+
When conductors are packed together, every other conductor screens the field
|
| 42 |
+
between any two. So a pair's mutual capacitance inside an array is at most its
|
| 43 |
+
isolated-pair value:
|
| 44 |
+
|
| 45 |
+
```
|
| 46 |
+
k = |C_full| / |C_iso| ≤ 1
|
| 47 |
+
```
|
| 48 |
+
|
| 49 |
+
Pairwise-superposition extraction — used throughout fast parasitic extraction —
|
| 50 |
+
assumes `k ≡ 1`. The certified claim here is that on a particular manufacturable
|
| 51 |
+
family it is **provably never right**, and quantifies by how much:
|
| 52 |
+
|
| 53 |
+
> For every layout in the family box, `k ≤ 0.909090909091`. A pairwise extractor
|
| 54 |
+
> therefore over-predicts the worst coupling by **at least 10.000002%** on
|
| 55 |
+
> *every* member of the family — not on average, not usually, always.
|
| 56 |
+
|
| 57 |
+
And the other direction: a second-order Born correction, the obvious cheap fix
|
| 58 |
+
when a full solve is too slow, does not merely stay inaccurate — on 27 layouts
|
| 59 |
+
here it predicts `k > 1`, which is **anti-screening**, a physical impossibility.
|
| 60 |
+
|
| 61 |
+
## 30-second quickstart
|
| 62 |
+
|
| 63 |
+
No install, no dependencies, nothing from the repository that produced it:
|
| 64 |
+
|
| 65 |
+
```bash
|
| 66 |
+
python3 verify.py
|
| 67 |
+
```
|
| 68 |
+
|
| 69 |
+
```
|
| 70 |
+
screening-ceiling independent re-derivation (stdlib only)
|
| 71 |
+
|
| 72 |
+
claim k <= 0.909090909091 for every layout in the family
|
| 73 |
+
forced error pairwise over-predicts by >= 10.0000%
|
| 74 |
+
|
| 75 |
+
regions 256 x 25 samples = 6400 layouts
|
| 76 |
+
worst sampled k 0.903974725909 (bound 0.909090909091)
|
| 77 |
+
margin to bound 0.005116183182
|
| 78 |
+
violations 0
|
| 79 |
+
worst at region 3.0.3.3 d0_um=55.7830 jog_mult=0.3838 pt_mult=1.0009 sep_mult=4.4492
|
| 80 |
+
|
| 81 |
+
counterexamples 27/27 re-derived and confirmed above the ceiling
|
| 82 |
+
|
| 83 |
+
consistent: no sampled layout exceeds the bound, and every counterexample re-derives
|
| 84 |
+
|
| 85 |
+
scope: A complete interval theorem about the frozen MONOPOLE-CLOSURE model only. The closure-vs-BEM/PDE model gap remains additive and unresolved. This witness does not establish Maxwell, BEM, driven-S, fabrication, or measured-silicon truth.
|
| 86 |
+
```
|
| 87 |
+
|
| 88 |
+
`verify.py` rebuilds the electrostatics from the published geometry using the
|
| 89 |
+
standard library alone — its own Gauss-Jordan inverse, its own potential matrix.
|
| 90 |
+
It does not import this dataset's producer, numpy, or anything else.
|
| 91 |
+
|
| 92 |
+
**Sampling cannot prove the universal claim.** That is what the interval
|
| 93 |
+
branch-and-bound in the source proof is for. What sampling *can* do is refute
|
| 94 |
+
it, and that is the useful thing to hand a skeptical reader: a cheap,
|
| 95 |
+
dependency-free way to try to catch us being wrong.
|
| 96 |
+
|
| 97 |
+
## Loading
|
| 98 |
+
|
| 99 |
+
```python
|
| 100 |
+
from loader import load_regions, load_counterexamples, load_theorem
|
| 101 |
+
|
| 102 |
+
theorem = load_theorem()
|
| 103 |
+
print(theorem["statement"])
|
| 104 |
+
print(theorem["honest_scope"]) # read this one
|
| 105 |
+
|
| 106 |
+
for c in load_counterexamples():
|
| 107 |
+
print(c["case_id"], c["k_predicted"], c["n_pairs_violating"], "/", c["n_pairs_total"])
|
| 108 |
+
```
|
| 109 |
+
|
| 110 |
+
Optional conveniences: `to_pandas("regions")` and `to_hf_dataset()`.
|
| 111 |
+
|
| 112 |
+
## Contents
|
| 113 |
+
|
| 114 |
+
### `data/certified_regions.jsonl` — 256 rows, the universal claim
|
| 115 |
+
|
| 116 |
+
The branch-and-bound partition. Each row is one region of the family box that
|
| 117 |
+
the prover certified, having subdivided it into leaves until the interval
|
| 118 |
+
enclosure of `k` fell below the bound everywhere inside.
|
| 119 |
+
|
| 120 |
+
| Field | Type | Meaning |
|
| 121 |
+
|---|---|---|
|
| 122 |
+
| `region_id` | string | position in the 4×4×4×4 root partition, e.g. `3.0.3.3` |
|
| 123 |
+
| `bounds` | object | `{d0_um, pt_mult, sep_mult, jog_mult} → {lo, hi}` |
|
| 124 |
+
| `status` | string | `CERTIFIED` for every row in this release |
|
| 125 |
+
| `certified_leaves` | int | leaves the region was subdivided into |
|
| 126 |
+
| `processed_leaves` | int | leaves examined, including interior splits |
|
| 127 |
+
| `sup_certified_k_hi` | float | largest `k` the enclosure admits anywhere in the region |
|
| 128 |
+
| `volume_fraction_of_region` | float | fraction certified (1.0 throughout) |
|
| 129 |
+
| `unresolved_leaves` | int | leaves left undecided (0 throughout) |
|
| 130 |
+
|
| 131 |
+
Totals: **237,490 certified leaves**, 474,724 processed, **0 failure regions**,
|
| 132 |
+
**0 unresolved**, certified volume fraction 1.0.
|
| 133 |
+
|
| 134 |
+
The published rows are the 256-region partition, **not** all 237,490 leaves —
|
| 135 |
+
the source proof records per-region certification and aggregate counts. That is
|
| 136 |
+
a real limitation of what is published and it is stated rather than glossed: you
|
| 137 |
+
can re-derive any region yourself, but you are not being handed every leaf.
|
| 138 |
+
|
| 139 |
+
### `data/counterexamples.jsonl` — 27 rows, the existential refutation
|
| 140 |
+
|
| 141 |
+
Layouts where `born_second_order` predicts `k > 1`.
|
| 142 |
+
|
| 143 |
+
| Field | Type | Meaning |
|
| 144 |
+
|---|---|---|
|
| 145 |
+
| `case_id` | string | e.g. `born2_n6_p100_s1` |
|
| 146 |
+
| `model` | string | `born_second_order` |
|
| 147 |
+
| `n_conductors` | int | 6, 8 or 12 |
|
| 148 |
+
| `nominal_pitch_um` | float | 60, 80 or 100 |
|
| 149 |
+
| `seed` | int | generator seed |
|
| 150 |
+
| `worst_pair` | [int, int] | indices of the worst-violating pair |
|
| 151 |
+
| `k_predicted` | float | predicted screening factor (> 1 for every row) |
|
| 152 |
+
| `n_pairs_violating` | int | pairs above the ceiling in this layout |
|
| 153 |
+
| `n_pairs_total` | int | ordered pairs in this layout |
|
| 154 |
+
| `xy_um` | [[float, float]] | conductor centres, micrometres |
|
| 155 |
+
| `radius_um` | [float] | conductor radii, micrometres |
|
| 156 |
+
| `eps_r` | float | relative permittivity (4.6) |
|
| 157 |
+
|
| 158 |
+
**2,060 violating pairs** across the 27 layouts, worst `k = 3.5141`. Full
|
| 159 |
+
coordinates are included deliberately: a counterexample you cannot rebuild is an
|
| 160 |
+
anecdote, not evidence.
|
| 161 |
+
|
| 162 |
+
### `data/theorem.json` — the claim, its scope, its provenance
|
| 163 |
+
|
| 164 |
+
The statement, the family box, the certified totals, the exact geometry
|
| 165 |
+
definition, and the SHA-256 of the source proof witness.
|
| 166 |
+
|
| 167 |
+
## Geometry
|
| 168 |
+
|
| 169 |
+
Four parallel circular conductors forming two tight pairs:
|
| 170 |
+
|
| 171 |
+
```
|
| 172 |
+
pitch = 1.6 · d0 · pt_mult
|
| 173 |
+
separation = pitch · sep_mult
|
| 174 |
+
jog = jog_mult · separation
|
| 175 |
+
|
| 176 |
+
centres: (0,0) (pitch,0) (separation,jog) (separation+pitch,jog)
|
| 177 |
+
every conductor has diameter d0
|
| 178 |
+
```
|
| 179 |
+
|
| 180 |
+
Family box: `d0 ∈ [25,60] µm`, `pt_mult ∈ [1.0,1.2]`, `sep_mult ∈ [2.5,4.5]`,
|
| 181 |
+
`jog_mult ∈ [−0.4,0.4]`. Self-term radius scale 1.0.
|
| 182 |
+
|
| 183 |
+
`loader.family_layout(...)` builds it for you.
|
| 184 |
+
|
| 185 |
+
## Scope, honestly
|
| 186 |
+
|
| 187 |
+
**This is a theorem about the monopole-closure model, not about Maxwell.** The
|
| 188 |
+
closure is a zero-parameter analytic multiple-scattering model that matches a
|
| 189 |
+
boundary-element reference to 0.081% in the exact two-cylinder limit, but the
|
| 190 |
+
closure-versus-solver gap is an **additive, disclosed, unresolved** term. It is
|
| 191 |
+
never absorbed into the bound. The scope line travels with the data, in
|
| 192 |
+
`theorem.json`:
|
| 193 |
+
|
| 194 |
+
> A complete interval theorem about the frozen MONOPOLE-CLOSURE model only. The
|
| 195 |
+
> closure-vs-BEM/PDE model gap remains additive and unresolved. This witness does
|
| 196 |
+
> not establish Maxwell, BEM, driven-S, fabrication, or measured-silicon truth.
|
| 197 |
+
|
| 198 |
+
Three further limits worth stating plainly:
|
| 199 |
+
|
| 200 |
+
- **One family, not all layouts.** Four conductors in a specific arrangement.
|
| 201 |
+
Nothing here says anything about a different topology.
|
| 202 |
+
- **The bound is not tight.** The certified supremum is 0.90909089; the worst
|
| 203 |
+
layout found by adversarial search is ≈0.9053. The gap is the price of a
|
| 204 |
+
first-order interval relaxation, not a claim about physics.
|
| 205 |
+
- **No measured data.** Every number is computational.
|
| 206 |
+
|
| 207 |
+
## Reproduction
|
| 208 |
+
|
| 209 |
+
```bash
|
| 210 |
+
python3 verify.py --samples 100 --seed 7 # sample harder, different seed
|
| 211 |
+
python3 verify.py --self-test # prove the checker still discriminates
|
| 212 |
+
python3 export.py --check # confirm data matches a fresh export
|
| 213 |
+
```
|
| 214 |
+
|
| 215 |
+
The self-test is the part that makes a clean report worth anything. It fabricates
|
| 216 |
+
an impossible bound, tampers with a published value, and requires the checker to
|
| 217 |
+
reject both — then confirms an isolated pair reproduces `k = 1.000000000000`
|
| 218 |
+
exactly, since a lone pair has nothing to screen it.
|
| 219 |
+
|
| 220 |
+
## Provenance
|
| 221 |
+
|
| 222 |
+
Exported by `export.py` from a committed proof witness produced by an
|
| 223 |
+
outward-rounded interval branch-and-bound prover (256 parallel roots, 243.5 s
|
| 224 |
+
wall clock, centered/mean-value enclosure forms). The witness digest is recorded
|
| 225 |
+
in `theorem.json`; `export.py --check` re-derives the files and compares.
|
| 226 |
+
|
| 227 |
+
Counterexamples are generated by running the open-source
|
| 228 |
+
[`maxwell-lint`](https://github.com/nickharris808/maxwell-lint) reference models, so they are reproducible
|
| 229 |
+
from published code alone.
|
| 230 |
+
|
| 231 |
+
## Citation
|
| 232 |
+
|
| 233 |
+
```bibtex
|
| 234 |
+
@misc{screening_ceiling_2026,
|
| 235 |
+
title = {Screening Ceiling: Certified Regions and Counterexamples for
|
| 236 |
+
Many-Body Coupling Extraction},
|
| 237 |
+
author = {ChipletOS / Genesis contributors},
|
| 238 |
+
year = {2026},
|
| 239 |
+
note = {CC-BY-4.0}
|
| 240 |
+
}
|
| 241 |
+
```
|
| 242 |
+
|
| 243 |
+
## Licence
|
| 244 |
+
|
| 245 |
+
**CC-BY-4.0.** Synthetic and computational throughout; no proprietary or
|
| 246 |
+
measured data. Attribution: ChipletOS / Genesis contributors.
|
| 247 |
+
|
| 248 |
+
## Related
|
| 249 |
+
|
| 250 |
+
- [`maxwell-lint`](https://github.com/nickharris808/maxwell-lint) — run the ceiling test on *your* extractor
|
| 251 |
+
- [`sparam-conformance`](https://huggingface.co/datasets/nickh007/sparam-conformance) — the S-parameter analogue
|
| 252 |
+
- [ChipletOS](https://chipletos.com) — the closed core: a learned many-body
|
| 253 |
+
coupling operator that stays inside this ceiling and is accurate at speed,
|
| 254 |
+
with calibrated abstention and a fail-closed signoff certificate
|
data/certified_regions.jsonl
ADDED
|
@@ -0,0 +1,256 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 1087, "processed_leaves": 2173, "region_id": "0.0.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090869368608341, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 2 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 919, "processed_leaves": 1837, "region_id": "0.0.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090784510374134, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 3 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 1394, "processed_leaves": 2787, "region_id": "0.0.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090860034047136, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 4 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 966, "processed_leaves": 1931, "region_id": "0.0.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090863215915332, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 5 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 1256, "processed_leaves": 2511, "region_id": "0.0.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090602427162999, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 6 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 952, "processed_leaves": 1903, "region_id": "0.0.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090876751382946, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 7 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 1435, "processed_leaves": 2869, "region_id": "0.0.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090669541584445, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 8 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 1120, "processed_leaves": 2239, "region_id": "0.0.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090602427162999, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 9 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 2368, "processed_leaves": 4735, "region_id": "0.0.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090878509483901, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 10 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1331, "processed_leaves": 2661, "region_id": "0.0.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090845056856786, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 11 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1886, "processed_leaves": 3771, "region_id": "0.0.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090900331971927, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 12 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 2243, "processed_leaves": 4485, "region_id": "0.0.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090878509483901, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 13 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 10441, "processed_leaves": 20881, "region_id": "0.0.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090908011195489, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 14 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 4393, "processed_leaves": 8785, "region_id": "0.0.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090896443232248, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 15 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 5228, "processed_leaves": 10455, "region_id": "0.0.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090906791279305, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 16 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 10058, "processed_leaves": 20115, "region_id": "0.0.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090908011195489, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 17 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 835, "processed_leaves": 1669, "region_id": "0.1.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090694810807364, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 18 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 802, "processed_leaves": 1603, "region_id": "0.1.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089288547471394, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 19 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 1280, "processed_leaves": 2559, "region_id": "0.1.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.905504799101393, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 20 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 683, "processed_leaves": 1365, "region_id": "0.1.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090694810807364, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 21 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 902, "processed_leaves": 1803, "region_id": "0.1.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090629822177978, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 22 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 805, "processed_leaves": 1609, "region_id": "0.1.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090862208711644, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 23 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 1280, "processed_leaves": 2559, "region_id": "0.1.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9086510623431896, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 24 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 758, "processed_leaves": 1515, "region_id": "0.1.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090629822177978, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 25 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1262, "processed_leaves": 2523, "region_id": "0.1.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090861765980263, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 26 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 877, "processed_leaves": 1753, "region_id": "0.1.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090866592359689, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 27 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1341, "processed_leaves": 2681, "region_id": "0.1.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.909026771118625, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 28 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1142, "processed_leaves": 2283, "region_id": "0.1.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090861765980263, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 29 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 3600, "processed_leaves": 7199, "region_id": "0.1.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090902266908921, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 30 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1502, "processed_leaves": 3003, "region_id": "0.1.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090807118125691, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 31 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 2039, "processed_leaves": 4077, "region_id": "0.1.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090906585598355, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 32 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 3491, "processed_leaves": 6981, "region_id": "0.1.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090902266908921, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 33 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 640, "processed_leaves": 1279, "region_id": "0.2.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9071102342349758, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 34 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 640, "processed_leaves": 1279, "region_id": "0.2.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9015473873785608, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 35 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 1024, "processed_leaves": 2047, "region_id": "0.2.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.8974595812552228, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 36 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 512, "processed_leaves": 1023, "region_id": "0.2.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9071102342349758, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 37 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 646, "processed_leaves": 1291, "region_id": "0.2.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089382805197257, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 38 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 640, "processed_leaves": 1279, "region_id": "0.2.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9054515195225807, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 39 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 1024, "processed_leaves": 2047, "region_id": "0.2.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9026547898069477, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 40 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 518, "processed_leaves": 1035, "region_id": "0.2.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089382805197257, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 41 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 757, "processed_leaves": 1513, "region_id": "0.2.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090722882374357, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 42 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 644, "processed_leaves": 1287, "region_id": "0.2.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9083591828647678, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 43 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1024, "processed_leaves": 2047, "region_id": "0.2.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9083612649164997, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 44 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 648, "processed_leaves": 1295, "region_id": "0.2.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090681470947926, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 45 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1410, "processed_leaves": 2819, "region_id": "0.2.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090777052879313, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 46 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 773, "processed_leaves": 1545, "region_id": "0.2.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090870236102815, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 47 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1150, "processed_leaves": 2299, "region_id": "0.2.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090870236102815, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 48 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1312, "processed_leaves": 2623, "region_id": "0.2.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090875807135371, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 49 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "0.3.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9005652752726075, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 50 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "0.3.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.8945172985334281, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 51 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 1272, "processed_leaves": 2543, "region_id": "0.3.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090887992797798, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 52 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 640, "processed_leaves": 1279, "region_id": "0.3.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9005652752726075, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 53 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "0.3.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9061839823154374, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 54 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "0.3.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.8999589148004735, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 55 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 1278, "processed_leaves": 2555, "region_id": "0.3.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089850698616754, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 56 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 640, "processed_leaves": 1279, "region_id": "0.3.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9061839823154374, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 57 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 811, "processed_leaves": 1621, "region_id": "0.3.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090614831045852, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 58 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "0.3.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9058669883048373, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 59 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1280, "processed_leaves": 2559, "region_id": "0.3.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9037392186233266, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 60 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 651, "processed_leaves": 1301, "region_id": "0.3.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090614831045852, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 61 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 987, "processed_leaves": 1973, "region_id": "0.3.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090850370276451, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 62 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 806, "processed_leaves": 1611, "region_id": "0.3.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089761055166835, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 63 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1281, "processed_leaves": 2561, "region_id": "0.3.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090288328621176, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 64 |
+
{"bounds": {"d0_um": {"hi": 33.75, "lo": 25.0}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 849, "processed_leaves": 1697, "region_id": "0.3.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090862577658937, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 65 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 811, "processed_leaves": 1621, "region_id": "1.0.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090681664289748, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 66 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "1.0.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9071307968522986, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 67 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 1280, "processed_leaves": 2559, "region_id": "1.0.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9020564466864217, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 68 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 651, "processed_leaves": 1301, "region_id": "1.0.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090681664289748, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 69 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 879, "processed_leaves": 1757, "region_id": "1.0.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090506750686215, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 70 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 801, "processed_leaves": 1601, "region_id": "1.0.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9085384865058136, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 71 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 1280, "processed_leaves": 2559, "region_id": "1.0.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9065354354512929, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 72 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 734, "processed_leaves": 1467, "region_id": "1.0.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090506750686215, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 73 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1235, "processed_leaves": 2469, "region_id": "1.0.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090792755826712, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 74 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 867, "processed_leaves": 1733, "region_id": "1.0.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090814331937157, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 75 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1326, "processed_leaves": 2651, "region_id": "1.0.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090814331937157, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 76 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1102, "processed_leaves": 2203, "region_id": "1.0.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090615750308823, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 77 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 4061, "processed_leaves": 8121, "region_id": "1.0.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090899103366209, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 78 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1596, "processed_leaves": 3191, "region_id": "1.0.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090878262963911, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 79 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 2119, "processed_leaves": 4237, "region_id": "1.0.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090878262963911, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 80 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 3972, "processed_leaves": 7943, "region_id": "1.0.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090899103366209, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 81 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "1.1.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9035905089256492, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 82 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 798, "processed_leaves": 1595, "region_id": "1.1.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9087783854042913, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 83 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 1262, "processed_leaves": 2523, "region_id": "1.1.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090067417409158, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 84 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 640, "processed_leaves": 1279, "region_id": "1.1.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9035905089256492, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 85 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "1.1.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9088628272187267, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 86 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "1.1.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9031539721368425, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 87 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 1274, "processed_leaves": 2547, "region_id": "1.1.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090350369082534, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 88 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 640, "processed_leaves": 1279, "region_id": "1.1.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9088628272187267, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 89 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 863, "processed_leaves": 1725, "region_id": "1.1.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090703357530109, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 90 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "1.1.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9087281378536924, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 91 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1280, "processed_leaves": 2559, "region_id": "1.1.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9067047604641749, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 92 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 711, "processed_leaves": 1421, "region_id": "1.1.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090703357530109, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 93 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1525, "processed_leaves": 3049, "region_id": "1.1.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090899655284806, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 94 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 890, "processed_leaves": 1779, "region_id": "1.1.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090849866832835, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 95 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1349, "processed_leaves": 2697, "region_id": "1.1.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090738380195027, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 96 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1411, "processed_leaves": 2821, "region_id": "1.1.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090899655284806, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 97 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 624, "processed_leaves": 1247, "region_id": "1.2.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9086911476053947, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 98 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 585, "processed_leaves": 1169, "region_id": "1.2.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089250887267561, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 99 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 861, "processed_leaves": 1721, "region_id": "1.2.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090730862531716, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 100 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 512, "processed_leaves": 1023, "region_id": "1.2.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.8972474328857154, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 101 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 636, "processed_leaves": 1271, "region_id": "1.2.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.909052033829015, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 102 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 602, "processed_leaves": 1203, "region_id": "1.2.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.909050394353757, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 103 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 916, "processed_leaves": 1831, "region_id": "1.2.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090515856107295, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 104 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 512, "processed_leaves": 1023, "region_id": "1.2.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9035564655306332, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 105 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 641, "processed_leaves": 1281, "region_id": "1.2.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090793848098732, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 106 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 639, "processed_leaves": 1277, "region_id": "1.2.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9088475315997832, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 107 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1019, "processed_leaves": 2037, "region_id": "1.2.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090669792277823, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 108 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 513, "processed_leaves": 1025, "region_id": "1.2.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090793848098732, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 109 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 810, "processed_leaves": 1619, "region_id": "1.2.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090783676306352, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 110 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 642, "processed_leaves": 1283, "region_id": "1.2.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089253148963804, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 111 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1024, "processed_leaves": 2047, "region_id": "1.2.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9081004987959075, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 112 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 708, "processed_leaves": 1415, "region_id": "1.2.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090783676306352, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 113 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 570, "processed_leaves": 1139, "region_id": "1.3.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090450365356606, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 114 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 407, "processed_leaves": 813, "region_id": "1.3.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090267838207913, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 115 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 502, "processed_leaves": 1003, "region_id": "1.3.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090267838207913, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 116 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 530, "processed_leaves": 1059, "region_id": "1.3.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090450365356606, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 117 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 656, "processed_leaves": 1311, "region_id": "1.3.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090555885783942, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 118 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 445, "processed_leaves": 889, "region_id": "1.3.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089749500691585, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 119 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 574, "processed_leaves": 1147, "region_id": "1.3.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090425073697581, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 120 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 584, "processed_leaves": 1167, "region_id": "1.3.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089371669203471, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 121 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 772, "processed_leaves": 1543, "region_id": "1.3.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090659575124381, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 122 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 646, "processed_leaves": 1291, "region_id": "1.3.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090781192530684, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 123 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 940, "processed_leaves": 1879, "region_id": "1.3.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090781192530684, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 124 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 635, "processed_leaves": 1269, "region_id": "1.3.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090659575124381, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 125 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 815, "processed_leaves": 1629, "region_id": "1.3.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090240626527958, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 126 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 788, "processed_leaves": 1575, "region_id": "1.3.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090613041053188, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 127 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1243, "processed_leaves": 2485, "region_id": "1.3.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090663196112023, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 128 |
+
{"bounds": {"d0_um": {"hi": 42.5, "lo": 33.75}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 655, "processed_leaves": 1309, "region_id": "1.3.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090240626527958, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 129 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 777, "processed_leaves": 1553, "region_id": "2.0.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090589950091547, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 130 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 739, "processed_leaves": 1477, "region_id": "2.0.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090108809112774, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 131 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 1105, "processed_leaves": 2209, "region_id": "2.0.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090772051763215, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 132 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 640, "processed_leaves": 1279, "region_id": "2.0.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9052485724441303, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 133 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 800, "processed_leaves": 1599, "region_id": "2.0.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090428592453322, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 134 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 762, "processed_leaves": 1523, "region_id": "2.0.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.908967145431131, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 135 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 1166, "processed_leaves": 2331, "region_id": "2.0.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.909051354036815, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 136 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 644, "processed_leaves": 1287, "region_id": "2.0.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090428592453322, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 137 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 977, "processed_leaves": 1953, "region_id": "2.0.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090905038837923, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 138 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 808, "processed_leaves": 1615, "region_id": "2.0.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089781791256403, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 139 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1278, "processed_leaves": 2555, "region_id": "2.0.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089496052981785, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 140 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 844, "processed_leaves": 1687, "region_id": "2.0.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090905038837923, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 141 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 2547, "processed_leaves": 5093, "region_id": "2.0.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090888715098965, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 142 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1131, "processed_leaves": 2261, "region_id": "2.0.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090877659355242, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 143 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1620, "processed_leaves": 3239, "region_id": "2.0.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.90908494568019, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 144 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 2429, "processed_leaves": 4857, "region_id": "2.0.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090888715098965, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 145 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 661, "processed_leaves": 1321, "region_id": "2.1.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.909086151226287, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 146 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 483, "processed_leaves": 965, "region_id": "2.1.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090721857842006, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 147 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 585, "processed_leaves": 1169, "region_id": "2.1.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090721857842006, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 148 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 605, "processed_leaves": 1209, "region_id": "2.1.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.909086151226287, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 149 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 735, "processed_leaves": 1469, "region_id": "2.1.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.909090766079042, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 150 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 552, "processed_leaves": 1103, "region_id": "2.1.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090858254547994, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 151 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 708, "processed_leaves": 1415, "region_id": "2.1.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090858254547994, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 152 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 631, "processed_leaves": 1261, "region_id": "2.1.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090857072449666, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 153 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 810, "processed_leaves": 1619, "region_id": "2.1.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089858667843778, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 154 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 756, "processed_leaves": 1511, "region_id": "2.1.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090785126154076, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 155 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1150, "processed_leaves": 2299, "region_id": "2.1.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090823430787649, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 156 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 652, "processed_leaves": 1303, "region_id": "2.1.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.908961988211907, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 157 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1144, "processed_leaves": 2287, "region_id": "2.1.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.909073258241431, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 158 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 813, "processed_leaves": 1625, "region_id": "2.1.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090575351603241, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 159 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1284, "processed_leaves": 2567, "region_id": "2.1.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090561861448266, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 160 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1026, "processed_leaves": 2051, "region_id": "2.1.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.909073258241431, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 161 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 386, "processed_leaves": 771, "region_id": "2.2.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089570894401968, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 162 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 263, "processed_leaves": 525, "region_id": "2.2.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.909055213167584, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 163 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 263, "processed_leaves": 525, "region_id": "2.2.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.909055213167584, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 164 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 385, "processed_leaves": 769, "region_id": "2.2.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089570894401968, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 165 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 477, "processed_leaves": 953, "region_id": "2.2.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090296563542221, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 166 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 291, "processed_leaves": 581, "region_id": "2.2.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090878004369622, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 167 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 301, "processed_leaves": 601, "region_id": "2.2.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090878004369619, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 168 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 452, "processed_leaves": 903, "region_id": "2.2.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090296563542221, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 169 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 614, "processed_leaves": 1227, "region_id": "2.2.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.909028014444844, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 170 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 476, "processed_leaves": 951, "region_id": "2.2.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090809744902301, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 171 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 634, "processed_leaves": 1267, "region_id": "2.2.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090809744902301, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 172 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 509, "processed_leaves": 1017, "region_id": "2.2.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.909028014444844, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 173 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 700, "processed_leaves": 1399, "region_id": "2.2.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090824016855574, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 174 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 634, "processed_leaves": 1267, "region_id": "2.2.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089706278143608, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 175 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1004, "processed_leaves": 2007, "region_id": "2.2.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090311778319201, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 176 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 576, "processed_leaves": 1151, "region_id": "2.2.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090824016855574, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 177 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 260, "processed_leaves": 519, "region_id": "2.3.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089802921485743, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 178 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 155, "processed_leaves": 309, "region_id": "2.3.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090350628038476, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 179 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 220, "processed_leaves": 439, "region_id": "2.3.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9086614695868978, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 180 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 255, "processed_leaves": 509, "region_id": "2.3.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090410790679142, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 181 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 305, "processed_leaves": 609, "region_id": "2.3.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090861535780917, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 182 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 170, "processed_leaves": 339, "region_id": "2.3.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090285754168854, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 183 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 230, "processed_leaves": 459, "region_id": "2.3.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.908914012243735, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 184 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 303, "processed_leaves": 605, "region_id": "2.3.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090861535780917, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 185 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 512, "processed_leaves": 1023, "region_id": "2.3.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090533318230669, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 186 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 253, "processed_leaves": 505, "region_id": "2.3.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.909075798249271, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 187 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 300, "processed_leaves": 599, "region_id": "2.3.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090649418749218, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 188 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 488, "processed_leaves": 975, "region_id": "2.3.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090533318230669, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 189 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 757, "processed_leaves": 1513, "region_id": "2.3.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089160470216063, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 190 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 555, "processed_leaves": 1109, "region_id": "2.3.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.909088585171856, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 191 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 755, "processed_leaves": 1509, "region_id": "2.3.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.909088585171856, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 192 |
+
{"bounds": {"d0_um": {"hi": 51.25, "lo": 42.5}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 631, "processed_leaves": 1261, "region_id": "2.3.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9088613387443238, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 193 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 636, "processed_leaves": 1271, "region_id": "3.0.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090774991728842, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 194 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 474, "processed_leaves": 947, "region_id": "3.0.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090518950530033, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 195 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 603, "processed_leaves": 1205, "region_id": "3.0.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090518950530033, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 196 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 576, "processed_leaves": 1151, "region_id": "3.0.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090774991728842, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 197 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 717, "processed_leaves": 1433, "region_id": "3.0.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090437892333706, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 198 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 535, "processed_leaves": 1069, "region_id": "3.0.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090837320466176, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 199 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 707, "processed_leaves": 1413, "region_id": "3.0.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090837320466176, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 200 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 624, "processed_leaves": 1247, "region_id": "3.0.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089612556327445, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 201 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 888, "processed_leaves": 1775, "region_id": "3.0.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090716743835473, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 202 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 744, "processed_leaves": 1487, "region_id": "3.0.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090751317124427, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 203 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 1122, "processed_leaves": 2243, "region_id": "3.0.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090751317124427, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 204 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 750, "processed_leaves": 1499, "region_id": "3.0.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090716743835473, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 205 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 2045, "processed_leaves": 4089, "region_id": "3.0.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090908920546464, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 206 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 998, "processed_leaves": 1995, "region_id": "3.0.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.909090748968924, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 207 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1476, "processed_leaves": 2951, "region_id": "3.0.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090907489689237, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 208 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.05, "lo": 1.0}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1920, "processed_leaves": 3839, "region_id": "3.0.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090908920546464, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 209 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 365, "processed_leaves": 729, "region_id": "3.1.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090658879205912, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 210 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 229, "processed_leaves": 457, "region_id": "3.1.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090211207532757, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 211 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 254, "processed_leaves": 507, "region_id": "3.1.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9088661028034148, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 212 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 365, "processed_leaves": 729, "region_id": "3.1.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090658879205912, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 213 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 495, "processed_leaves": 989, "region_id": "3.1.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090621528621113, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 214 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 261, "processed_leaves": 521, "region_id": "3.1.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090904055985503, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 215 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 284, "processed_leaves": 567, "region_id": "3.1.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090755554627443, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 216 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 483, "processed_leaves": 965, "region_id": "3.1.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090232042858197, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 217 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 732, "processed_leaves": 1463, "region_id": "3.1.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090699400831205, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 218 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 490, "processed_leaves": 979, "region_id": "3.1.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090854030762586, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 219 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 607, "processed_leaves": 1213, "region_id": "3.1.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090854030762594, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 220 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 629, "processed_leaves": 1257, "region_id": "3.1.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090699400831205, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 221 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1028, "processed_leaves": 2055, "region_id": "3.1.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.909065360674103, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 222 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 792, "processed_leaves": 1583, "region_id": "3.1.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090532820003687, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 223 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 1227, "processed_leaves": 2453, "region_id": "3.1.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090532820003687, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 224 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.1, "lo": 1.05}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 884, "processed_leaves": 1767, "region_id": "3.1.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090653606741027, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 225 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 231, "processed_leaves": 461, "region_id": "3.2.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9088143964325858, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 226 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 138, "processed_leaves": 275, "region_id": "3.2.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090567655020568, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 227 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 156, "processed_leaves": 311, "region_id": "3.2.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090567655020568, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 228 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 231, "processed_leaves": 461, "region_id": "3.2.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9088143964325858, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 229 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 283, "processed_leaves": 565, "region_id": "3.2.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090594239963418, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 230 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 159, "processed_leaves": 317, "region_id": "3.2.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090635482087603, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 231 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 173, "processed_leaves": 345, "region_id": "3.2.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090350975785015, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 232 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 283, "processed_leaves": 565, "region_id": "3.2.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090594239963418, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 233 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 465, "processed_leaves": 929, "region_id": "3.2.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090874424806682, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 234 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 261, "processed_leaves": 521, "region_id": "3.2.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090481247313865, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 235 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 266, "processed_leaves": 531, "region_id": "3.2.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090481247313865, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 236 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 444, "processed_leaves": 887, "region_id": "3.2.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090874424806682, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 237 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 662, "processed_leaves": 1323, "region_id": "3.2.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090833068491709, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 238 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 530, "processed_leaves": 1059, "region_id": "3.2.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090817021976279, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 239 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 747, "processed_leaves": 1493, "region_id": "3.2.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090817021976297, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 240 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.15, "lo": 1.1}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 542, "processed_leaves": 1083, "region_id": "3.2.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090833068491709, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 241 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 189, "processed_leaves": 377, "region_id": "3.3.0.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9087778801152326, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 242 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 109, "processed_leaves": 217, "region_id": "3.3.0.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9086022032753366, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 243 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 192, "processed_leaves": 383, "region_id": "3.3.0.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9057732032108182, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 244 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.0, "lo": 2.5}}, "certified_leaves": 157, "processed_leaves": 313, "region_id": "3.3.0.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9087778801152326, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 245 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 226, "processed_leaves": 451, "region_id": "3.3.1.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089112387191812, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 246 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 112, "processed_leaves": 223, "region_id": "3.3.1.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9085378742571913, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 247 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 193, "processed_leaves": 385, "region_id": "3.3.1.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9080701662865391, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 248 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 3.5, "lo": 3.0}}, "certified_leaves": 198, "processed_leaves": 395, "region_id": "3.3.1.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089112387191812, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 249 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 301, "processed_leaves": 601, "region_id": "3.3.2.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090606502137417, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 250 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 151, "processed_leaves": 301, "region_id": "3.3.2.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090167530635148, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 251 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 218, "processed_leaves": 435, "region_id": "3.3.2.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9089675700541998, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 252 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.0, "lo": 3.5}}, "certified_leaves": 297, "processed_leaves": 593, "region_id": "3.3.2.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090606502137417, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 253 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": -0.2, "lo": -0.4}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 589, "processed_leaves": 1177, "region_id": "3.3.3.0", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090881710584792, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0000000000000002}
|
| 254 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.0, "lo": -0.2}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 290, "processed_leaves": 579, "region_id": "3.3.3.1", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090574792675835, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 255 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.20000000000000007, "lo": 0.0}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 341, "processed_leaves": 681, "region_id": "3.3.3.2", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090574792675835, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
| 256 |
+
{"bounds": {"d0_um": {"hi": 60.0, "lo": 51.25}, "jog_mult": {"hi": 0.4, "lo": 0.20000000000000007}, "pt_mult": {"hi": 1.2, "lo": 1.15}, "sep_mult": {"hi": 4.5, "lo": 4.0}}, "certified_leaves": 544, "processed_leaves": 1087, "region_id": "3.3.3.3", "status": "CERTIFIED", "sup_certified_k_hi": 0.9090881710584792, "unresolved_leaves": 0, "volume_fraction_of_region": 1.0}
|
data/counterexamples.jsonl
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"case_id": "born2_n6_p100_s1", "eps_r": 4.6, "k_predicted": 1.0093501490036147, "model": "born_second_order", "n_conductors": 6, "n_pairs_total": 30, "n_pairs_violating": 2, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 1, "violates_ceiling": true, "worst_pair": [2, 3], "xy_um": [[0.2955406175064179, 11.261592408148383], [-8.896009682009156, 111.2162361784311], [-4.704213699737863, 198.08316122431438], [108.19256484551103, -2.2700215907709675], [101.23984219182647, 88.18897783107671], [106.33782771687017, 200.95358283048196]]}
|
| 2 |
+
{"case_id": "born2_n6_p100_s2", "eps_r": 4.6, "k_predicted": 1.015472994094494, "model": "born_second_order", "n_conductors": 6, "n_pairs_total": 30, "n_pairs_violating": 4, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 2, "violates_ceiling": true, "worst_pair": [2, 3], "xy_um": [[-5.95969664376709, -5.037721414646917], [7.855643514857007, 89.79789855337742], [2.50251314914135, 205.71401317029483], [92.19752683416509, -11.121334316673295], [94.37423419765094, 103.9358253718898], [101.55664156951069, 191.25155658263338]]}
|
| 3 |
+
{"case_id": "born2_n6_p100_s3", "eps_r": 4.6, "k_predicted": 1.0103545346104412, "model": "born_second_order", "n_conductors": 6, "n_pairs_total": 30, "n_pairs_violating": 4, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 3, "violates_ceiling": true, "worst_pair": [2, 3], "xy_um": [[-10.35877082140939, -6.579737335097508], [7.531861630159922, 102.0540509016092], [-10.14678394399002, 198.32817350591185], [99.47628245352085, -8.506527134073036], [105.86442878523036, 90.34180049803508], [97.28070476239154, 200.41850456553408]]}
|
| 4 |
+
{"case_id": "born2_n8_p60_s0", "eps_r": 4.6, "k_predicted": 1.6281620008435944, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 32, "nominal_pitch_um": 60.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 0, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[2.0544253098218146, -3.453199293541945], [-6.88539714095708, 52.74791453292793], [4.6990535880040865, 126.1913336591658], [61.59953663650769, 3.442448414759976], [60.65437487198134, 66.52608635681652], [64.73780331182299, 112.54107750255221], [125.36106414881354, -6.9962163704180345], [123.44483169644916, 55.134834309038375]]}
|
| 5 |
+
{"case_id": "born2_n8_p60_s1", "eps_r": 4.6, "k_predicted": 1.594621594613909, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 28, "nominal_pitch_um": 60.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 1, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[0.17732437050385075, 6.756955444889029], [-5.337605809205494, 66.72974170705865], [-2.8225282198427184, 118.84989673458863], [64.91553890730663, -1.3620129544625807], [60.74390531509589, 52.913386698646015], [63.8026966301221, 120.57214969828917], [117.44597574748639, 4.326430551426064], [117.04792243937467, 59.30246834220977]]}
|
| 6 |
+
{"case_id": "born2_n8_p60_s2", "eps_r": 4.6, "k_predicted": 1.589178824100779, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 32, "nominal_pitch_um": 60.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 2, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[-3.5758179862602537, -3.02263284878815], [4.713386108914204, 53.87873913202645], [1.50150788948481, 123.4284079021769], [55.318516100499046, -6.672800590003977], [56.62454051859057, 62.361495223133886], [60.93398494170641, 114.75093394958004], [118.9894618620718, 2.539459478617804], [118.8417700990519, 61.99776598911175]]}
|
| 7 |
+
{"case_id": "born2_n8_p60_s3", "eps_r": 4.6, "k_predicted": 1.602514277648082, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 32, "nominal_pitch_um": 60.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 3, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[-6.215262492845634, -3.9478424010585043], [4.519116978095953, 61.23243054096551], [-6.088070366394011, 118.9969041035471], [59.685769472112504, -5.103916280443822], [63.51865727113822, 54.20508029882105], [58.36842285743493, 120.25110273932046], [118.95942030621265, 1.3019785715721108], [123.56756680938238, 66.84400882254148]]}
|
| 8 |
+
{"case_id": "born2_n8_p80_s0", "eps_r": 4.6, "k_predicted": 1.7496683014360355, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 40, "nominal_pitch_um": 80.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 0, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[2.739233746429086, -4.604265724722594], [-9.180529521276107, 70.33055271057059], [6.265404784005447, 168.25511154555443], [82.13271551534358, 4.589931219679968], [80.87249982930844, 88.70144847575537], [86.31707108243064, 150.05477000340295], [167.14808553175138, -9.328288493890714], [164.59310892859887, 73.51311241205119]]}
|
| 9 |
+
{"case_id": "born2_n8_p80_s1", "eps_r": 4.6, "k_predicted": 1.7218503084762968, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 40, "nominal_pitch_um": 80.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 1, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[0.23643249400513433, 9.009273926518706], [-7.116807745607324, 88.97298894274488], [-3.7633709597902905, 158.4665289794515], [86.55405187640883, -1.8160172726167745], [80.99187375346118, 70.55118226486137], [85.07026217349613, 160.76286626438556], [156.59463432998183, 5.768574068568086], [156.0638965858329, 79.06995778961303]]}
|
| 10 |
+
{"case_id": "born2_n8_p80_s2", "eps_r": 4.6, "k_predicted": 1.7139102673959945, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 40, "nominal_pitch_um": 80.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 2, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[-4.767757315013672, -4.030177131717534], [6.2845148118856065, 71.83831884270192], [2.0020105193130795, 164.5712105362359], [73.75802146733207, -8.897067453338634], [75.49938735812074, 83.14866029751185], [81.24531325560856, 153.00124526610674], [158.65261581609573, 3.385945971490405], [158.45569346540256, 82.66368798548233]]}
|
| 11 |
+
{"case_id": "born2_n8_p80_s3", "eps_r": 4.6, "k_predicted": 1.726540746052518, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 36, "nominal_pitch_um": 80.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 3, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[-8.287016657127513, -5.263789868078005], [6.025489304127937, 81.64324072128736], [-8.117427155192017, 158.66253880472945], [79.58102596281668, -6.805221707258428], [84.69154302818427, 72.27344039842805], [77.82456380991324, 160.33480365242724], [158.61256040828354, 1.7359714287628147], [164.75675574584318, 89.12534509672196]]}
|
| 12 |
+
{"case_id": "born2_n8_p100_s0", "eps_r": 4.6, "k_predicted": 1.830734327994796, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 46, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 0, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[3.4240421830363577, -5.755332155903242], [-11.475661901595133, 87.91319088821322], [7.83175598000681, 210.31888943194303], [102.66589439417949, 5.73741402459996], [101.09062478663556, 110.8768105946942], [107.89633885303829, 187.56846250425372], [208.93510691468921, -11.660360617363391], [205.74138616074856, 91.89139051506397]]}
|
| 13 |
+
{"case_id": "born2_n8_p100_s1", "eps_r": 4.6, "k_predicted": 1.8072130055172262, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 44, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 1, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[0.2955406175064179, 11.261592408148383], [-8.896009682009156, 111.2162361784311], [-4.704213699737863, 198.08316122431438], [108.19256484551103, -2.2700215907709675], [101.23984219182647, 88.18897783107671], [106.33782771687017, 200.95358283048196], [195.7432929124773, 7.210717585710108], [195.0798707322911, 98.83744723701629]]}
|
| 14 |
+
{"case_id": "born2_n8_p100_s2", "eps_r": 4.6, "k_predicted": 1.7973957536859855, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 44, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 2, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[-5.95969664376709, -5.037721414646917], [7.855643514857007, 89.79789855337742], [2.50251314914135, 205.71401317029483], [92.19752683416509, -11.121334316673295], [94.37423419765094, 103.9358253718898], [101.55664156951069, 191.25155658263338], [198.3157697701197, 4.232432464363006], [198.06961683175317, 103.32960998185291]]}
|
| 15 |
+
{"case_id": "born2_n8_p100_s3", "eps_r": 4.6, "k_predicted": 1.8094964315270394, "model": "born_second_order", "n_conductors": 8, "n_pairs_total": 56, "n_pairs_violating": 52, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 3, "violates_ceiling": true, "worst_pair": [2, 6], "xy_um": [[-10.35877082140939, -6.579737335097508], [7.531861630159922, 102.0540509016092], [-10.14678394399002, 198.32817350591185], [99.47628245352085, -8.506527134073036], [105.86442878523036, 90.34180049803508], [97.28070476239154, 200.41850456553408], [198.26570051035443, 2.1699642859535184], [205.945944682304, 111.40668137090246]]}
|
| 16 |
+
{"case_id": "born2_n12_p60_s0", "eps_r": 4.6, "k_predicted": 3.147469349631517, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 60.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 0, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[2.0544253098218146, -3.453199293541945], [-6.88539714095708, 52.74791453292793], [4.6990535880040865, 126.1913336591658], [1.5995366365076977, 183.44244841475995], [60.65437487198134, 6.526086356816523], [64.73780331182299, 52.54107750255222], [65.36106414881354, 113.00378362958195], [63.444831696449164, 175.13483430903838], [125.4476838352483, 0.6219183037363757], [116.99567835806076, 58.840308317964876], [112.92479506718193, 114.36424914749345], [122.55936622040446, 182.20784267361373]]}
|
| 17 |
+
{"case_id": "born2_n12_p60_s1", "eps_r": 4.6, "k_predicted": 3.1158149943105466, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 60.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 1, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[0.17732437050385075, 6.756955444889029], [-5.337605809205494, 66.72974170705865], [-2.8225282198427184, 118.84989673458863], [4.915538907306625, 178.63798704553741], [60.74390531509589, -7.0866133013539745], [63.8026966301221, 60.572149698289174], [57.44597574748638, 124.32643055142607], [57.04792243937467, 179.30246834220978], [114.51062545870747, -1.4533052032930616], [115.55182861014224, 56.434700106627744], [123.75547008945078, 116.7061313697906], [119.77786461647453, 187.21105799701857]]}
|
| 18 |
+
{"case_id": "born2_n12_p60_s2", "eps_r": 4.6, "k_predicted": 3.170944216540121, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 60.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 2, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[-3.5758179862602537, -3.02263284878815], [4.713386108914204, 53.87873913202645], [1.50150788948481, 123.4284079021769], [-4.6814838995009485, 173.327199409996], [56.62454051859057, 2.361495223133889], [60.93398494170641, 54.750933949580045], [58.9894618620718, 122.53945947861779], [58.841770099051914, 181.9977659891117], [127.01153928740516, 2.7459723346443794], [118.3743724962004, 55.30878854580147], [117.689409983576, 120.16598960354364], [125.86814114250869, 184.13345913709034]]}
|
| 19 |
+
{"case_id": "born2_n12_p60_s3", "eps_r": 4.6, "k_predicted": 3.1364562667385294, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 60.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 3, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[-6.215262492845634, -3.9478424010585043], [4.519116978095953, 61.23243054096551], [-6.088070366394011, 118.9969041035471], [-0.3142305278874896, 174.89608371955617], [63.51865727113822, -5.794919701178949], [58.36842285743493, 60.25110273932046], [58.959420306212664, 121.3019785715721], [63.5675668093824, 186.84400882254147], [116.76301745623188, 2.2282081061973757], [122.94323995005232, 56.89081123518731], [112.52235125263253, 127.10190412149619], [116.97601834525314, 177.20979003051505]]}
|
| 20 |
+
{"case_id": "born2_n12_p80_s0", "eps_r": 4.6, "k_predicted": 3.3560531559320115, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 80.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 0, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[2.739233746429086, -4.604265724722594], [-9.180529521276107, 70.33055271057059], [6.265404784005447, 168.25511154555443], [2.1327155153435973, 244.58993121967995], [80.87249982930844, 8.701448475755365], [86.31707108243064, 70.05477000340296], [87.14808553175139, 150.67171150610926], [84.59310892859888, 233.51311241205119], [167.2635784469977, 0.8292244049818341], [155.9942378107477, 78.45374442395315], [150.56639342290927, 152.48566552999128], [163.41248829387257, 242.94379023148497]]}
|
| 21 |
+
{"case_id": "born2_n12_p80_s1", "eps_r": 4.6, "k_predicted": 3.325395256228735, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 80.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 1, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[0.23643249400513433, 9.009273926518706], [-7.116807745607324, 88.97298894274488], [-3.7633709597902905, 158.4665289794515], [6.554051876408834, 238.18398272738324], [80.99187375346118, -9.448817735138633], [85.07026217349613, 80.76286626438556], [76.59463432998184, 165.76857406856809], [76.0638965858329, 239.069957789613], [152.6808339449433, -1.9377402710574154], [154.06910481352296, 75.24626680883699], [165.00729345260106, 155.60817515972076], [159.7038194886327, 249.61474399602477]]}
|
| 22 |
+
{"case_id": "born2_n12_p80_s2", "eps_r": 4.6, "k_predicted": 3.376603555767942, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 80.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 2, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[-4.767757315013672, -4.030177131717534], [6.2845148118856065, 71.83831884270192], [2.0020105193130795, 164.5712105362359], [-6.241978532667931, 231.10293254666135], [75.49938735812074, 3.148660297511851], [81.24531325560856, 73.00124526610672], [78.65261581609575, 163.3859459714904], [78.45569346540255, 242.66368798548234], [169.34871904987352, 3.6612964461925057], [157.83249666160052, 73.74505139440197], [156.91921331143467, 160.22131947139155], [167.82418819001157, 245.5112788494538]]}
|
| 23 |
+
{"case_id": "born2_n12_p80_s3", "eps_r": 4.6, "k_predicted": 3.3458770722882916, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 80.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 3, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[-8.287016657127513, -5.263789868078005], [6.025489304127937, 81.64324072128736], [-8.117427155192017, 158.66253880472945], [-0.41897403718331944, 233.19477829274155], [84.69154302818427, -7.726559601571931], [77.82456380991324, 80.33480365242725], [78.61256040828356, 161.7359714287628], [84.7567557458432, 249.12534509672193], [155.6840232749758, 2.9709441415965006], [163.9243199334031, 75.85441498024974], [150.0298016701767, 169.46920549532825], [155.96802446033752, 236.2797200406867]]}
|
| 24 |
+
{"case_id": "born2_n12_p100_s0", "eps_r": 4.6, "k_predicted": 3.4957395621596405, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 0, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[3.4240421830363577, -5.755332155903242], [-11.475661901595133, 87.91319088821322], [7.83175598000681, 210.31888943194303], [2.665894394179497, 305.73741402459996], [101.09062478663556, 10.876810594694206], [107.89633885303829, 87.5684625042537], [108.93510691468921, 188.33963938263662], [105.7413861607486, 291.8913905150639], [209.07947305874717, 1.036530506227293], [194.99279726343462, 98.06718052994147], [188.20799177863657, 190.6070819124891], [204.26561036734077, 303.67973778935624]]}
|
| 25 |
+
{"case_id": "born2_n12_p100_s1", "eps_r": 4.6, "k_predicted": 3.4658233090395014, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 1, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[0.2955406175064179, 11.261592408148383], [-8.896009682009156, 111.2162361784311], [-4.704213699737863, 198.08316122431438], [8.192564845511043, 297.72997840922903], [101.23984219182647, -11.81102216892329], [106.33782771687017, 100.95358283048195], [95.7432929124773, 207.2107175857101], [95.07987073229113, 298.8374472370163], [190.8510424311791, -2.422175338821769], [192.58638101690372, 94.05783351104623], [206.2591168157513, 194.510218949651], [199.62977436079086, 312.0184299950309]]}
|
| 26 |
+
{"case_id": "born2_n12_p100_s2", "eps_r": 4.6, "k_predicted": 3.514093796424527, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 2, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[-5.95969664376709, -5.037721414646917], [7.855643514857007, 89.79789855337742], [2.50251314914135, 205.71401317029483], [-7.802473165834914, 288.8786656833267], [94.37423419765094, 3.9358253718898144], [101.55664156951069, 91.2515565826334], [98.31576977011967, 204.23243246436297], [98.0696168317532, 303.3296099818529], [211.68589881234192, 4.5766205577406325], [197.29062082700065, 92.18131424300245], [196.14901663929334, 200.2766493392394], [209.7802352375145, 306.88909856181726]]}
|
| 27 |
+
{"case_id": "born2_n12_p100_s3", "eps_r": 4.6, "k_predicted": 3.4861879114348886, "model": "born_second_order", "n_conductors": 12, "n_pairs_total": 132, "n_pairs_violating": 132, "nominal_pitch_um": 100.0, "radius_um": [20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0], "seed": 3, "violates_ceiling": true, "worst_pair": [0, 11], "xy_um": [[-10.35877082140939, -6.579737335097508], [7.531861630159922, 102.0540509016092], [-10.14678394399002, 198.32817350591185], [-0.5237175464791494, 291.49347286592695], [105.86442878523036, -9.658199501964916], [97.28070476239154, 100.41850456553409], [98.26570051035445, 202.1699642859535], [105.945944682304, 311.40668137090245], [194.6050290937198, 3.7136801769956262], [204.90539991675385, 94.81801872531217], [187.53725208772087, 211.83650686916033], [194.96003057542188, 295.3496500508584]]}
|
data/theorem.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"certified_leaves_total": 237490,
|
| 3 |
+
"certified_volume_fraction": 1.0000000000000002,
|
| 4 |
+
"enclosure_mode": "centered",
|
| 5 |
+
"failure_regions": 0,
|
| 6 |
+
"family": "two_tight_pairs (nfill=0 core)",
|
| 7 |
+
"family_box": {
|
| 8 |
+
"d0_um": {
|
| 9 |
+
"hi": 60.0,
|
| 10 |
+
"lo": 25.0
|
| 11 |
+
},
|
| 12 |
+
"jog_mult": {
|
| 13 |
+
"hi": 0.4,
|
| 14 |
+
"lo": -0.4
|
| 15 |
+
},
|
| 16 |
+
"pt_mult": {
|
| 17 |
+
"hi": 1.2,
|
| 18 |
+
"lo": 1.0
|
| 19 |
+
},
|
| 20 |
+
"sep_mult": {
|
| 21 |
+
"hi": 4.5,
|
| 22 |
+
"lo": 2.5
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"forced_pairwise_overprediction_basis": "sup_certified_k_hi",
|
| 26 |
+
"forced_pairwise_overprediction_pct": 10.000002061387825,
|
| 27 |
+
"geometry": {
|
| 28 |
+
"description": "Four parallel circular conductors forming two tight pairs. pitch = 1.6 * d0 * pt_mult; separation = pitch * sep_mult; jog = jog_mult * separation. Conductor centres at (0,0), (pitch,0), (separation,jog), (separation+pitch,jog); every conductor has diameter d0.",
|
| 29 |
+
"self_term_radius_scale": 1.0,
|
| 30 |
+
"units": "d0_um in micrometres; the multipliers are dimensionless"
|
| 31 |
+
},
|
| 32 |
+
"honest_scope": "A complete interval theorem about the frozen MONOPOLE-CLOSURE model only. The closure-vs-BEM/PDE model gap remains additive and unresolved. This witness does not establish Maxwell, BEM, driven-S, fabrication, or measured-silicon truth.",
|
| 33 |
+
"k_bar": 0.9090909090909091,
|
| 34 |
+
"open_boxes": 0,
|
| 35 |
+
"parameters": [
|
| 36 |
+
"d0_um",
|
| 37 |
+
"pt_mult",
|
| 38 |
+
"sep_mult",
|
| 39 |
+
"jog_mult"
|
| 40 |
+
],
|
| 41 |
+
"processed_leaves_total": 474724,
|
| 42 |
+
"provenance": {
|
| 43 |
+
"partition_regions": 256,
|
| 44 |
+
"prover_wall_seconds": 243.5342594169997,
|
| 45 |
+
"schema": "genesis.family_impossibility.parallel.v1",
|
| 46 |
+
"source_sha256": "51c6f38f9d3d09b654886b2278ba86712596978b4ad1366ec96bcfcec2ff272c",
|
| 47 |
+
"source_witness": "family_two_tight_pairs_k10pct_parallel_2026_07.json",
|
| 48 |
+
"witness_content_sha256": "5b10e5a58013fa0e9bf9fb7900d885e4bd70e808bbad59e374d15a03be9ab2a3"
|
| 49 |
+
},
|
| 50 |
+
"statement": "For every layout in the family box, the monopole-closure many-body screening factor satisfies k <= 0.909090909091. A pairwise-superposition extractor assumes k == 1, so it over-predicts the worst coupling by at least 10.0000% on every member of the family.",
|
| 51 |
+
"status": "THEOREM_CERTIFIED",
|
| 52 |
+
"sup_certified_k_hi": 0.9090908920546464
|
| 53 |
+
}
|
export.py
ADDED
|
@@ -0,0 +1,231 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""Export the screening-ceiling dataset from committed source artifacts.
|
| 3 |
+
|
| 4 |
+
Two very different kinds of row come out of this, and keeping them straight is
|
| 5 |
+
the whole point of the dataset:
|
| 6 |
+
|
| 7 |
+
certified_regions.jsonl -- a UNIVERSAL claim. 256 sub-boxes of a 4-parameter
|
| 8 |
+
family, each certified by outward-rounded interval branch-and-bound to
|
| 9 |
+
contain NO layout whose screening factor exceeds k_bar. Exported from a
|
| 10 |
+
committed proof witness; provenance recorded by digest.
|
| 11 |
+
|
| 12 |
+
counterexamples.jsonl -- an EXISTENTIAL refutation. Concrete layouts where
|
| 13 |
+
a second-order Born extractor predicts k > 1, which no passive
|
| 14 |
+
arrangement of conductors can do. Generated here by running the
|
| 15 |
+
open-source `maxwell-lint` reference models, so every row is reproducible
|
| 16 |
+
from published code alone.
|
| 17 |
+
|
| 18 |
+
Run:
|
| 19 |
+
python3 export.py # writes data/
|
| 20 |
+
python3 export.py --check # verify existing data, write nothing
|
| 21 |
+
"""
|
| 22 |
+
from __future__ import annotations
|
| 23 |
+
|
| 24 |
+
import argparse
|
| 25 |
+
import hashlib
|
| 26 |
+
import json
|
| 27 |
+
import pathlib
|
| 28 |
+
import sys
|
| 29 |
+
|
| 30 |
+
HERE = pathlib.Path(__file__).resolve().parent
|
| 31 |
+
DATA = HERE / "data"
|
| 32 |
+
REPO = HERE.parents[2]
|
| 33 |
+
WITNESS = REPO / "benchmarks" / "impossibility" / \
|
| 34 |
+
"family_two_tight_pairs_k10pct_parallel_2026_07.json"
|
| 35 |
+
|
| 36 |
+
DIM_NAMES = ["d0_um", "pt_mult", "sep_mult", "jog_mult"]
|
| 37 |
+
|
| 38 |
+
# Reproduced verbatim from the source witness so the published scope statement
|
| 39 |
+
# cannot drift from the one the proof was run under.
|
| 40 |
+
HONEST_SCOPE = (
|
| 41 |
+
"A complete interval theorem about the frozen MONOPOLE-CLOSURE model only. "
|
| 42 |
+
"The closure-vs-BEM/PDE model gap remains additive and unresolved. This "
|
| 43 |
+
"witness does not establish Maxwell, BEM, driven-S, fabrication, or "
|
| 44 |
+
"measured-silicon truth."
|
| 45 |
+
)
|
| 46 |
+
|
| 47 |
+
|
| 48 |
+
def sha256(path: pathlib.Path) -> str:
|
| 49 |
+
return hashlib.sha256(path.read_bytes()).hexdigest()
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
# --------------------------------------------------------------- certified regions
|
| 53 |
+
|
| 54 |
+
def export_certified_regions(w: dict) -> list[dict]:
|
| 55 |
+
"""One row per certified root region of the branch-and-bound partition.
|
| 56 |
+
|
| 57 |
+
The witness stores the 256-region partition with per-region certification
|
| 58 |
+
rather than all 237,490 leaves. That is what gets published, and the
|
| 59 |
+
distinction is stated rather than glossed: each row is a region the prover
|
| 60 |
+
certified, together with how many leaves it took and the largest screening
|
| 61 |
+
factor the interval enclosure admitted anywhere inside it.
|
| 62 |
+
"""
|
| 63 |
+
rows = []
|
| 64 |
+
for r in w["root_results"]:
|
| 65 |
+
rows.append({
|
| 66 |
+
"region_id": r["root_id"],
|
| 67 |
+
"bounds": {n: {"lo": lo, "hi": hi}
|
| 68 |
+
for n, (lo, hi) in zip(DIM_NAMES, r["box"])},
|
| 69 |
+
"status": r["status"],
|
| 70 |
+
"certified_leaves": r["certified_boxes"],
|
| 71 |
+
"processed_leaves": r["processed_boxes"],
|
| 72 |
+
"sup_certified_k_hi": r["sup_certified_k_hi"],
|
| 73 |
+
"volume_fraction_of_region": r["certified_volume_frac_of_root"],
|
| 74 |
+
"unresolved_leaves": r["unresolved_count"],
|
| 75 |
+
})
|
| 76 |
+
return rows
|
| 77 |
+
|
| 78 |
+
|
| 79 |
+
# ----------------------------------------------------------------- counterexamples
|
| 80 |
+
|
| 81 |
+
def export_counterexamples() -> list[dict]:
|
| 82 |
+
"""Concrete layouts where a plausible cheap extractor predicts k > 1.
|
| 83 |
+
|
| 84 |
+
Generated by running the published `maxwell-lint` reference models, so a
|
| 85 |
+
reader can regenerate every row without this repository. Full coordinates
|
| 86 |
+
are emitted -- a counterexample you cannot rebuild is an anecdote.
|
| 87 |
+
"""
|
| 88 |
+
try:
|
| 89 |
+
import numpy as np
|
| 90 |
+
from maxwell_lint.models import (born_second_order, isolated_pair_matrix,
|
| 91 |
+
random_layout)
|
| 92 |
+
except ImportError as exc: # pragma: no cover - exercised by the CLI path
|
| 93 |
+
raise SystemExit(
|
| 94 |
+
f"counterexample export needs maxwell-lint installed: {exc}\n"
|
| 95 |
+
" pip install ../../maxwell-lint") from exc
|
| 96 |
+
|
| 97 |
+
rows = []
|
| 98 |
+
for n in (6, 8, 12):
|
| 99 |
+
for pitch in (60.0, 80.0, 100.0):
|
| 100 |
+
for seed in range(4):
|
| 101 |
+
lay = random_layout(n, seed=seed, pitch_um=pitch)
|
| 102 |
+
full = born_second_order(lay)
|
| 103 |
+
iso = isolated_pair_matrix(lay)
|
| 104 |
+
with np.errstate(divide="ignore", invalid="ignore"):
|
| 105 |
+
k = np.where(iso > 0, full / iso, 0.0)
|
| 106 |
+
np.fill_diagonal(k, 0.0)
|
| 107 |
+
i, j = np.unravel_index(int(np.argmax(k)), k.shape)
|
| 108 |
+
kmax = float(k[i, j])
|
| 109 |
+
if kmax <= 1.0:
|
| 110 |
+
continue
|
| 111 |
+
rows.append({
|
| 112 |
+
"case_id": f"born2_n{n}_p{int(pitch)}_s{seed}",
|
| 113 |
+
"model": "born_second_order",
|
| 114 |
+
"n_conductors": int(n),
|
| 115 |
+
"nominal_pitch_um": pitch,
|
| 116 |
+
"seed": int(seed),
|
| 117 |
+
"worst_pair": [int(i), int(j)],
|
| 118 |
+
"k_predicted": kmax,
|
| 119 |
+
"violates_ceiling": True,
|
| 120 |
+
"n_pairs_violating": int((k > 1.0).sum()),
|
| 121 |
+
"n_pairs_total": int(n * (n - 1)),
|
| 122 |
+
"xy_um": [[float(x * 1e6), float(y * 1e6)] for x, y in lay.xy],
|
| 123 |
+
"radius_um": [float(r * 1e6) for r in lay.radius],
|
| 124 |
+
"eps_r": float(lay.eps_r),
|
| 125 |
+
})
|
| 126 |
+
return rows
|
| 127 |
+
|
| 128 |
+
|
| 129 |
+
# ------------------------------------------------------------------------ theorem
|
| 130 |
+
|
| 131 |
+
def export_theorem(w: dict) -> dict:
|
| 132 |
+
return {
|
| 133 |
+
"family": w["family"],
|
| 134 |
+
"parameters": DIM_NAMES,
|
| 135 |
+
# the top-level box is keyed by name; the per-region boxes are positional
|
| 136 |
+
"family_box": {n: {"lo": w["box"][n][0], "hi": w["box"][n][1]}
|
| 137 |
+
for n in DIM_NAMES},
|
| 138 |
+
"k_bar": w["k_bar"],
|
| 139 |
+
"statement": (
|
| 140 |
+
"For every layout in the family box, the monopole-closure many-body "
|
| 141 |
+
f"screening factor satisfies k <= {w['k_bar']:.12f}. A pairwise-"
|
| 142 |
+
"superposition extractor assumes k == 1, so it over-predicts the worst "
|
| 143 |
+
f"coupling by at least {100.0 / w['k_bar'] - 100.0:.4f}% on every "
|
| 144 |
+
"member of the family."
|
| 145 |
+
),
|
| 146 |
+
# Derived from the supremum the proof actually certified, not from the
|
| 147 |
+
# target bound -- so it is very slightly STRONGER than 100/k_bar - 100
|
| 148 |
+
# (10.000002% vs 10.000000%). Recorded explicitly because a reader who
|
| 149 |
+
# divides by k_bar and gets a different last digit deserves an answer.
|
| 150 |
+
"forced_pairwise_overprediction_pct": w["forced_pairwise_overprediction_pct"],
|
| 151 |
+
"forced_pairwise_overprediction_basis": "sup_certified_k_hi",
|
| 152 |
+
"certified_leaves_total": w["certified_boxes"],
|
| 153 |
+
"processed_leaves_total": w["processed_boxes"],
|
| 154 |
+
"certified_volume_fraction": w["certified_volume_frac"],
|
| 155 |
+
"failure_regions": w["n_failure_regions"],
|
| 156 |
+
"open_boxes": w["open_boxes"],
|
| 157 |
+
"sup_certified_k_hi": w["sup_certified_k_hi"],
|
| 158 |
+
"enclosure_mode": w["enclosure_mode"],
|
| 159 |
+
"status": w["status"],
|
| 160 |
+
"honest_scope": HONEST_SCOPE,
|
| 161 |
+
"geometry": {
|
| 162 |
+
"description": (
|
| 163 |
+
"Four parallel circular conductors forming two tight pairs. "
|
| 164 |
+
"pitch = 1.6 * d0 * pt_mult; separation = pitch * sep_mult; "
|
| 165 |
+
"jog = jog_mult * separation. Conductor centres at (0,0), "
|
| 166 |
+
"(pitch,0), (separation,jog), (separation+pitch,jog); every "
|
| 167 |
+
"conductor has diameter d0."
|
| 168 |
+
),
|
| 169 |
+
"units": "d0_um in micrometres; the multipliers are dimensionless",
|
| 170 |
+
"self_term_radius_scale": 1.0,
|
| 171 |
+
},
|
| 172 |
+
"provenance": {
|
| 173 |
+
"source_witness": WITNESS.name,
|
| 174 |
+
"source_sha256": sha256(WITNESS),
|
| 175 |
+
"witness_content_sha256": w["content_sha256"],
|
| 176 |
+
"schema": w["schema"],
|
| 177 |
+
"prover_wall_seconds": w["wall_s"],
|
| 178 |
+
"partition_regions": w["root_count"],
|
| 179 |
+
},
|
| 180 |
+
}
|
| 181 |
+
|
| 182 |
+
|
| 183 |
+
def write_jsonl(path: pathlib.Path, rows: list[dict]) -> None:
|
| 184 |
+
with path.open("w") as fh:
|
| 185 |
+
for r in rows:
|
| 186 |
+
fh.write(json.dumps(r, sort_keys=True) + "\n")
|
| 187 |
+
|
| 188 |
+
|
| 189 |
+
def main() -> int:
|
| 190 |
+
ap = argparse.ArgumentParser(description=__doc__)
|
| 191 |
+
ap.add_argument("--check", action="store_true",
|
| 192 |
+
help="verify the committed data instead of rewriting it")
|
| 193 |
+
args = ap.parse_args()
|
| 194 |
+
|
| 195 |
+
if not WITNESS.exists():
|
| 196 |
+
print(f"source witness not found: {WITNESS}", file=sys.stderr)
|
| 197 |
+
print("(export requires the source repository; the published data files "
|
| 198 |
+
"stand alone)", file=sys.stderr)
|
| 199 |
+
return 2
|
| 200 |
+
|
| 201 |
+
w = json.loads(WITNESS.read_text())
|
| 202 |
+
regions = export_certified_regions(w)
|
| 203 |
+
theorem = export_theorem(w)
|
| 204 |
+
counters = export_counterexamples()
|
| 205 |
+
|
| 206 |
+
if args.check:
|
| 207 |
+
old_r = [json.loads(x) for x in
|
| 208 |
+
(DATA / "certified_regions.jsonl").read_text().splitlines()]
|
| 209 |
+
old_c = [json.loads(x) for x in
|
| 210 |
+
(DATA / "counterexamples.jsonl").read_text().splitlines()]
|
| 211 |
+
old_t = json.loads((DATA / "theorem.json").read_text())
|
| 212 |
+
ok = (old_r == regions and old_c == counters and old_t == theorem)
|
| 213 |
+
print("data matches a fresh export" if ok else "DATA DRIFT")
|
| 214 |
+
return 0 if ok else 1
|
| 215 |
+
|
| 216 |
+
DATA.mkdir(parents=True, exist_ok=True)
|
| 217 |
+
write_jsonl(DATA / "certified_regions.jsonl", regions)
|
| 218 |
+
write_jsonl(DATA / "counterexamples.jsonl", counters)
|
| 219 |
+
(DATA / "theorem.json").write_text(json.dumps(theorem, indent=2, sort_keys=True) + "\n")
|
| 220 |
+
|
| 221 |
+
n_viol = sum(r["n_pairs_violating"] for r in counters)
|
| 222 |
+
print(f"certified_regions.jsonl {len(regions)} regions "
|
| 223 |
+
f"({theorem['certified_leaves_total']} leaves)")
|
| 224 |
+
print(f"counterexamples.jsonl {len(counters)} layouts "
|
| 225 |
+
f"({n_viol} violating pairs)")
|
| 226 |
+
print(f"theorem.json k_bar = {theorem['k_bar']:.12f}")
|
| 227 |
+
return 0
|
| 228 |
+
|
| 229 |
+
|
| 230 |
+
if __name__ == "__main__":
|
| 231 |
+
raise SystemExit(main())
|
loader.py
ADDED
|
@@ -0,0 +1,88 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Load the screening-ceiling dataset.
|
| 2 |
+
|
| 3 |
+
Stdlib by default so the data is usable with nothing installed; pandas and
|
| 4 |
+
`datasets` are optional conveniences, imported only if you ask for them.
|
| 5 |
+
|
| 6 |
+
from loader import load_regions, load_counterexamples, load_theorem
|
| 7 |
+
|
| 8 |
+
theorem = load_theorem()
|
| 9 |
+
print(theorem["statement"])
|
| 10 |
+
|
| 11 |
+
for c in load_counterexamples():
|
| 12 |
+
print(c["case_id"], c["k_predicted"])
|
| 13 |
+
"""
|
| 14 |
+
from __future__ import annotations
|
| 15 |
+
|
| 16 |
+
import json
|
| 17 |
+
import pathlib
|
| 18 |
+
|
| 19 |
+
HERE = pathlib.Path(__file__).resolve().parent
|
| 20 |
+
DATA = HERE / "data"
|
| 21 |
+
|
| 22 |
+
__all__ = ["load_regions", "load_counterexamples", "load_theorem",
|
| 23 |
+
"to_pandas", "to_hf_dataset", "family_layout"]
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
def _jsonl(path: pathlib.Path) -> list[dict]:
|
| 27 |
+
return [json.loads(line) for line in path.read_text().splitlines() if line.strip()]
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
def load_regions() -> list[dict]:
|
| 31 |
+
"""256 certified regions of the branch-and-bound partition."""
|
| 32 |
+
return _jsonl(DATA / "certified_regions.jsonl")
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
def load_counterexamples() -> list[dict]:
|
| 36 |
+
"""Concrete layouts where a second-order Born extractor predicts k > 1."""
|
| 37 |
+
return _jsonl(DATA / "counterexamples.jsonl")
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
def load_theorem() -> dict:
|
| 41 |
+
"""The universal claim, its scope, and the provenance of the source proof."""
|
| 42 |
+
return json.loads((DATA / "theorem.json").read_text())
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
def family_layout(d0_um: float, pt_mult: float, sep_mult: float, jog_mult: float):
|
| 46 |
+
"""Build the conductor geometry for a point in the family box.
|
| 47 |
+
|
| 48 |
+
Returns (xy_metres, radius_metres). Kept here as well as in `verify.py` so a
|
| 49 |
+
reader who only wants to generate layouts does not have to read the checker.
|
| 50 |
+
"""
|
| 51 |
+
pt = 1.6 * d0_um * pt_mult * 1e-6
|
| 52 |
+
sep = pt * sep_mult
|
| 53 |
+
jog = jog_mult * sep
|
| 54 |
+
return ([[0.0, 0.0], [pt, 0.0], [sep, jog], [sep + pt, jog]],
|
| 55 |
+
[d0_um * 1e-6 / 2.0] * 4)
|
| 56 |
+
|
| 57 |
+
|
| 58 |
+
def to_pandas(split: str = "regions"):
|
| 59 |
+
"""`regions` or `counterexamples` as a DataFrame. Requires pandas."""
|
| 60 |
+
import pandas as pd
|
| 61 |
+
if split == "regions":
|
| 62 |
+
rows = []
|
| 63 |
+
for r in load_regions():
|
| 64 |
+
flat = {k: v for k, v in r.items() if k != "bounds"}
|
| 65 |
+
for name, b in r["bounds"].items():
|
| 66 |
+
flat[f"{name}_lo"], flat[f"{name}_hi"] = b["lo"], b["hi"]
|
| 67 |
+
rows.append(flat)
|
| 68 |
+
return pd.DataFrame(rows)
|
| 69 |
+
if split == "counterexamples":
|
| 70 |
+
return pd.DataFrame(load_counterexamples())
|
| 71 |
+
raise ValueError(f"unknown split {split!r}: use 'regions' or 'counterexamples'")
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
def to_hf_dataset():
|
| 75 |
+
"""Both splits as a `datasets.DatasetDict`. Requires `datasets`."""
|
| 76 |
+
from datasets import Dataset, DatasetDict
|
| 77 |
+
return DatasetDict({
|
| 78 |
+
"regions": Dataset.from_list(load_regions()),
|
| 79 |
+
"counterexamples": Dataset.from_list(load_counterexamples()),
|
| 80 |
+
})
|
| 81 |
+
|
| 82 |
+
|
| 83 |
+
if __name__ == "__main__":
|
| 84 |
+
t = load_theorem()
|
| 85 |
+
print(t["statement"])
|
| 86 |
+
print(f"\nregions {len(load_regions())}")
|
| 87 |
+
print(f"counterexamples {len(load_counterexamples())}")
|
| 88 |
+
print(f"\nscope: {t['honest_scope']}")
|
tests/test_dataset.py
ADDED
|
@@ -0,0 +1,265 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Tests for the screening-ceiling dataset.
|
| 2 |
+
|
| 3 |
+
The important tests here are not "does the file parse" -- they are "is the
|
| 4 |
+
published claim true of the published data". A dataset whose ground truth is
|
| 5 |
+
wrong is worse than no dataset, because every result scored against it inherits
|
| 6 |
+
the error.
|
| 7 |
+
"""
|
| 8 |
+
from __future__ import annotations
|
| 9 |
+
|
| 10 |
+
import json
|
| 11 |
+
import math
|
| 12 |
+
import pathlib
|
| 13 |
+
import random
|
| 14 |
+
import sys
|
| 15 |
+
|
| 16 |
+
import pytest
|
| 17 |
+
|
| 18 |
+
HERE = pathlib.Path(__file__).resolve().parents[1]
|
| 19 |
+
sys.path.insert(0, str(HERE))
|
| 20 |
+
|
| 21 |
+
import verify # noqa: E402
|
| 22 |
+
from loader import (family_layout, load_counterexamples, # noqa: E402
|
| 23 |
+
load_regions, load_theorem)
|
| 24 |
+
|
| 25 |
+
DATA = HERE / "data"
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
# --------------------------------------------------------------------- presence
|
| 29 |
+
|
| 30 |
+
def test_data_files_exist_and_are_nonempty():
|
| 31 |
+
for name in ("certified_regions.jsonl", "counterexamples.jsonl", "theorem.json"):
|
| 32 |
+
p = DATA / name
|
| 33 |
+
assert p.exists(), f"missing {name}"
|
| 34 |
+
assert p.stat().st_size > 0, f"empty {name}"
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
def test_every_line_is_valid_json():
|
| 38 |
+
for name in ("certified_regions.jsonl", "counterexamples.jsonl"):
|
| 39 |
+
for i, line in enumerate((DATA / name).read_text().splitlines()):
|
| 40 |
+
if line.strip():
|
| 41 |
+
json.loads(line) # raises on malformed
|
| 42 |
+
|
| 43 |
+
|
| 44 |
+
# ---------------------------------------------------------------------- schema
|
| 45 |
+
|
| 46 |
+
def test_region_schema_is_complete():
|
| 47 |
+
required = {"region_id", "bounds", "status", "certified_leaves",
|
| 48 |
+
"processed_leaves", "sup_certified_k_hi",
|
| 49 |
+
"volume_fraction_of_region", "unresolved_leaves"}
|
| 50 |
+
for r in load_regions():
|
| 51 |
+
assert required <= set(r), f"{r.get('region_id')} missing {required - set(r)}"
|
| 52 |
+
assert set(r["bounds"]) == {"d0_um", "pt_mult", "sep_mult", "jog_mult"}
|
| 53 |
+
for b in r["bounds"].values():
|
| 54 |
+
assert b["lo"] < b["hi"], "degenerate interval"
|
| 55 |
+
|
| 56 |
+
|
| 57 |
+
def test_counterexample_schema_is_complete():
|
| 58 |
+
required = {"case_id", "model", "n_conductors", "worst_pair", "k_predicted",
|
| 59 |
+
"violates_ceiling", "xy_um", "radius_um", "eps_r"}
|
| 60 |
+
for c in load_counterexamples():
|
| 61 |
+
assert required <= set(c), f"{c.get('case_id')} missing {required - set(c)}"
|
| 62 |
+
assert len(c["xy_um"]) == c["n_conductors"]
|
| 63 |
+
assert len(c["radius_um"]) == c["n_conductors"]
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
def test_case_ids_are_unique():
|
| 67 |
+
ids = [c["case_id"] for c in load_counterexamples()]
|
| 68 |
+
assert len(ids) == len(set(ids))
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
def test_region_ids_are_unique():
|
| 72 |
+
ids = [r["region_id"] for r in load_regions()]
|
| 73 |
+
assert len(ids) == len(set(ids))
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
# ------------------------------------------------------------------ the claims
|
| 77 |
+
|
| 78 |
+
def test_every_region_is_certified_with_no_unresolved_leaves():
|
| 79 |
+
for r in load_regions():
|
| 80 |
+
assert r["status"] == "CERTIFIED", f"{r['region_id']} is {r['status']}"
|
| 81 |
+
assert r["unresolved_leaves"] == 0
|
| 82 |
+
|
| 83 |
+
|
| 84 |
+
def test_no_region_admits_a_k_above_the_bound():
|
| 85 |
+
"""The published per-region supremum must respect the published bound."""
|
| 86 |
+
k_bar = load_theorem()["k_bar"]
|
| 87 |
+
for r in load_regions():
|
| 88 |
+
assert r["sup_certified_k_hi"] <= k_bar, \
|
| 89 |
+
f"{r['region_id']} admits {r['sup_certified_k_hi']} > {k_bar}"
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
def test_leaf_total_matches_the_sum_over_regions():
|
| 93 |
+
t = load_theorem()
|
| 94 |
+
assert sum(r["certified_leaves"] for r in load_regions()) \
|
| 95 |
+
== t["certified_leaves_total"]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
def test_regions_tile_the_family_box():
|
| 99 |
+
"""Union of region bounds must span the declared family box on every axis."""
|
| 100 |
+
t = load_theorem()
|
| 101 |
+
regions = load_regions()
|
| 102 |
+
for name, b in t["family_box"].items():
|
| 103 |
+
assert min(r["bounds"][name]["lo"] for r in regions) == b["lo"]
|
| 104 |
+
assert max(r["bounds"][name]["hi"] for r in regions) == b["hi"]
|
| 105 |
+
|
| 106 |
+
|
| 107 |
+
@pytest.mark.parametrize("seed", [0, 1, 2])
|
| 108 |
+
def test_sampling_inside_certified_regions_never_exceeds_the_bound(seed):
|
| 109 |
+
"""Independent re-derivation: sampling must fail to refute the claim."""
|
| 110 |
+
k_bar = load_theorem()["k_bar"]
|
| 111 |
+
rng = random.Random(seed)
|
| 112 |
+
worst, violations = verify.check_regions(load_regions(), k_bar, samples=3,
|
| 113 |
+
rng=rng, verbose=False)
|
| 114 |
+
assert violations == [], f"claim refuted at {violations[:2]}"
|
| 115 |
+
assert worst <= k_bar
|
| 116 |
+
|
| 117 |
+
|
| 118 |
+
def test_every_counterexample_really_violates_the_ceiling():
|
| 119 |
+
"""Existential claim, re-derived from stored coordinates rather than trusted."""
|
| 120 |
+
confirmed, failed = verify.check_counterexamples(load_counterexamples(),
|
| 121 |
+
verbose=False)
|
| 122 |
+
assert failed == [], f"counterexamples did not re-derive: {failed[:2]}"
|
| 123 |
+
assert confirmed == len(load_counterexamples())
|
| 124 |
+
|
| 125 |
+
|
| 126 |
+
def test_published_k_matches_recomputation_to_tight_tolerance():
|
| 127 |
+
for c in load_counterexamples():
|
| 128 |
+
xy = [[x * 1e-6, y * 1e-6] for x, y in c["xy_um"]]
|
| 129 |
+
radius = [r * 1e-6 for r in c["radius_um"]]
|
| 130 |
+
k = verify.born_second_order_k(xy, radius)
|
| 131 |
+
n = len(xy)
|
| 132 |
+
kmax = max(k[i][j] for i in range(n) for j in range(n) if i != j)
|
| 133 |
+
assert kmax == pytest.approx(c["k_predicted"], rel=1e-9)
|
| 134 |
+
assert kmax > 1.0
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
# ------------------------------------------------------------------- physics
|
| 138 |
+
|
| 139 |
+
def test_isolated_pair_has_no_screening():
|
| 140 |
+
"""Two conductors alone: k must be exactly 1, since there is nothing to screen."""
|
| 141 |
+
k = verify.screening_factors([[0.0, 0.0], [1e-4, 0.0]], [2e-5, 2e-5])
|
| 142 |
+
assert k[0][1] == pytest.approx(1.0, abs=1e-12)
|
| 143 |
+
assert k[1][0] == pytest.approx(1.0, abs=1e-12)
|
| 144 |
+
|
| 145 |
+
|
| 146 |
+
def test_adding_a_conductor_reduces_coupling():
|
| 147 |
+
"""The physical content of the ceiling: screening only ever removes coupling."""
|
| 148 |
+
pair = verify.screening_factors([[0.0, 0.0], [2e-4, 0.0]], [2e-5] * 2)[0][1]
|
| 149 |
+
with_third = verify.screening_factors(
|
| 150 |
+
[[0.0, 0.0], [2e-4, 0.0], [1e-4, 0.0]], [2e-5] * 3)[0][1]
|
| 151 |
+
assert with_third < pair
|
| 152 |
+
|
| 153 |
+
|
| 154 |
+
def test_family_layout_matches_the_documented_geometry():
|
| 155 |
+
xy, radius = family_layout(40.0, 1.0, 3.0, 0.0)
|
| 156 |
+
pt = 1.6 * 40.0 * 1e-6
|
| 157 |
+
assert xy[1][0] == pytest.approx(pt)
|
| 158 |
+
assert xy[2][0] == pytest.approx(pt * 3.0)
|
| 159 |
+
assert xy[3][0] == pytest.approx(pt * 3.0 + pt)
|
| 160 |
+
assert all(r == pytest.approx(20e-6) for r in radius)
|
| 161 |
+
|
| 162 |
+
|
| 163 |
+
def test_loader_and_verify_agree_on_geometry():
|
| 164 |
+
"""Two implementations of the family layout must not drift apart."""
|
| 165 |
+
a_xy, a_r = family_layout(37.5, 1.1, 3.3, -0.2)
|
| 166 |
+
b_xy, b_r = verify.family_layout(37.5, 1.1, 3.3, -0.2)
|
| 167 |
+
assert [c for pt in a_xy for c in pt] == pytest.approx(
|
| 168 |
+
[c for pt in b_xy for c in pt])
|
| 169 |
+
assert a_r == pytest.approx(b_r)
|
| 170 |
+
|
| 171 |
+
|
| 172 |
+
def test_inverse_is_correct():
|
| 173 |
+
m = [[4.0, 7.0], [2.0, 6.0]]
|
| 174 |
+
inv = verify.inverse(m)
|
| 175 |
+
prod = [[sum(m[i][k] * inv[k][j] for k in range(2)) for j in range(2)]
|
| 176 |
+
for i in range(2)]
|
| 177 |
+
assert prod[0][0] == pytest.approx(1.0)
|
| 178 |
+
assert prod[1][1] == pytest.approx(1.0)
|
| 179 |
+
assert prod[0][1] == pytest.approx(0.0, abs=1e-12)
|
| 180 |
+
|
| 181 |
+
|
| 182 |
+
def test_singular_matrix_raises_rather_than_returning_garbage():
|
| 183 |
+
with pytest.raises(ZeroDivisionError):
|
| 184 |
+
verify.inverse([[1.0, 2.0], [2.0, 4.0]])
|
| 185 |
+
|
| 186 |
+
|
| 187 |
+
# ------------------------------------------------------------ negative control
|
| 188 |
+
|
| 189 |
+
def test_the_checker_rejects_a_fabricated_bound():
|
| 190 |
+
"""A checker that cannot fail is not a checker."""
|
| 191 |
+
rng = random.Random(0)
|
| 192 |
+
_, violations = verify.check_regions(load_regions()[:4], k_bar=0.5, samples=5,
|
| 193 |
+
rng=rng, verbose=False)
|
| 194 |
+
assert violations, "an impossible bound was not refuted"
|
| 195 |
+
|
| 196 |
+
|
| 197 |
+
def test_the_checker_rejects_a_tampered_counterexample():
|
| 198 |
+
cases = load_counterexamples()
|
| 199 |
+
bad = dict(cases[0], k_predicted=cases[0]["k_predicted"] * 1.5)
|
| 200 |
+
_, failed = verify.check_counterexamples([bad], verbose=False)
|
| 201 |
+
assert failed, "a tampered value was accepted"
|
| 202 |
+
|
| 203 |
+
|
| 204 |
+
def test_self_test_entrypoint_passes():
|
| 205 |
+
assert verify.self_test() == 0
|
| 206 |
+
|
| 207 |
+
|
| 208 |
+
# ---------------------------------------------------------------- provenance
|
| 209 |
+
|
| 210 |
+
def test_theorem_records_provenance_and_scope():
|
| 211 |
+
t = load_theorem()
|
| 212 |
+
p = t["provenance"]
|
| 213 |
+
assert len(p["source_sha256"]) == 64
|
| 214 |
+
assert len(p["witness_content_sha256"]) == 64
|
| 215 |
+
assert p["partition_regions"] == len(load_regions())
|
| 216 |
+
assert "MONOPOLE-CLOSURE" in t["honest_scope"]
|
| 217 |
+
assert "not establish" in t["honest_scope"]
|
| 218 |
+
|
| 219 |
+
|
| 220 |
+
def test_stated_overprediction_follows_from_the_certified_supremum():
|
| 221 |
+
"""The headline percentage must be derivable, not asserted.
|
| 222 |
+
|
| 223 |
+
It derives from the supremum the proof actually certified rather than from
|
| 224 |
+
the target bound, so it is marginally STRONGER than 100/k_bar - 100. Both
|
| 225 |
+
relationships are checked, because that last digit is exactly the kind of
|
| 226 |
+
thing a careful reader will try to reproduce and then query.
|
| 227 |
+
"""
|
| 228 |
+
t = load_theorem()
|
| 229 |
+
assert t["forced_pairwise_overprediction_basis"] == "sup_certified_k_hi"
|
| 230 |
+
assert t["forced_pairwise_overprediction_pct"] == \
|
| 231 |
+
pytest.approx(100.0 / t["sup_certified_k_hi"] - 100.0, rel=1e-12)
|
| 232 |
+
assert t["forced_pairwise_overprediction_pct"] >= 100.0 / t["k_bar"] - 100.0
|
| 233 |
+
|
| 234 |
+
|
| 235 |
+
def test_scope_is_not_overclaimed_anywhere_in_the_card():
|
| 236 |
+
"""The card must not say the theorem is about Maxwell or measured silicon."""
|
| 237 |
+
card = (HERE / "README.md").read_text().lower()
|
| 238 |
+
assert "monopole-closure" in card or "monopole closure" in card
|
| 239 |
+
for forbidden in ("proves maxwell", "measured silicon shows",
|
| 240 |
+
"validated against measurement"):
|
| 241 |
+
assert forbidden not in card
|
| 242 |
+
|
| 243 |
+
|
| 244 |
+
def test_verify_is_importable_with_no_third_party_modules():
|
| 245 |
+
"""The zero-dependency promise, enforced rather than documented."""
|
| 246 |
+
src = (HERE / "verify.py").read_text()
|
| 247 |
+
banned = ("import numpy", "import pandas", "import scipy", "import torch",
|
| 248 |
+
"from numpy", "from pandas", "import datasets")
|
| 249 |
+
for b in banned:
|
| 250 |
+
assert b not in src, f"verify.py must stay stdlib-only, found {b!r}"
|
| 251 |
+
|
| 252 |
+
|
| 253 |
+
def test_math_import_is_actually_used():
|
| 254 |
+
assert math.hypot(3, 4) == 5.0 # guards the import above from bit-rot
|
| 255 |
+
|
| 256 |
+
|
| 257 |
+
def test_readme_figures_match_the_data():
|
| 258 |
+
"""Headline numbers in the card are re-derived from the files, not typed once."""
|
| 259 |
+
readme = (HERE / "README.md").read_text()
|
| 260 |
+
cs, t = load_counterexamples(), load_theorem()
|
| 261 |
+
assert f"{sum(c['n_pairs_violating'] for c in cs):,}" in readme
|
| 262 |
+
assert f"{max(c['k_predicted'] for c in cs):.4f}" in readme
|
| 263 |
+
assert f"{t['certified_leaves_total']:,}" in readme
|
| 264 |
+
assert f"{t['processed_leaves_total']:,}" in readme
|
| 265 |
+
assert f"{t['forced_pairwise_overprediction_pct']:.6f}"[:9] in readme
|
verify.py
ADDED
|
@@ -0,0 +1,274 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""Independently re-derive the screening-ceiling dataset. Zero dependencies.
|
| 3 |
+
|
| 4 |
+
Standard library only -- no numpy, no maxwell-lint, nothing from the repository
|
| 5 |
+
that produced the data. Point it at `data/` and it rebuilds the physics from the
|
| 6 |
+
published geometry and checks both claims:
|
| 7 |
+
|
| 8 |
+
* the UNIVERSAL claim, by sampling inside every certified region and confirming
|
| 9 |
+
no sampled layout exceeds k_bar;
|
| 10 |
+
* the EXISTENTIAL claim, by recomputing each counterexample from its stored
|
| 11 |
+
coordinates and confirming the extractor really does predict k > 1.
|
| 12 |
+
|
| 13 |
+
Sampling cannot prove the universal claim -- that is what the interval
|
| 14 |
+
branch-and-bound in the source proof is for, and no amount of sampling
|
| 15 |
+
substitutes for it. What sampling can do is REFUTE it, and that is the useful
|
| 16 |
+
thing an independent reader wants: a cheap, dependency-free way to try to catch
|
| 17 |
+
us being wrong.
|
| 18 |
+
|
| 19 |
+
Run:
|
| 20 |
+
python3 verify.py # check the committed data
|
| 21 |
+
python3 verify.py --samples 200 # sample harder
|
| 22 |
+
python3 verify.py --self-test # prove the checker still discriminates
|
| 23 |
+
"""
|
| 24 |
+
from __future__ import annotations
|
| 25 |
+
|
| 26 |
+
import argparse
|
| 27 |
+
import json
|
| 28 |
+
import math
|
| 29 |
+
import pathlib
|
| 30 |
+
import random
|
| 31 |
+
import sys
|
| 32 |
+
|
| 33 |
+
HERE = pathlib.Path(__file__).resolve().parent
|
| 34 |
+
DATA = HERE / "data"
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
# ------------------------------------------------------------------ linear algebra
|
| 38 |
+
|
| 39 |
+
def inverse(m: list[list[float]]) -> list[list[float]]:
|
| 40 |
+
"""Gauss-Jordan inverse with partial pivoting. Small dense matrices only."""
|
| 41 |
+
n = len(m)
|
| 42 |
+
a = [row[:] + [1.0 if i == j else 0.0 for j in range(n)] for i, row in enumerate(m)]
|
| 43 |
+
for col in range(n):
|
| 44 |
+
piv = max(range(col, n), key=lambda r: abs(a[r][col]))
|
| 45 |
+
if abs(a[piv][col]) < 1e-300:
|
| 46 |
+
raise ZeroDivisionError("singular potential matrix")
|
| 47 |
+
a[col], a[piv] = a[piv], a[col]
|
| 48 |
+
d = a[col][col]
|
| 49 |
+
a[col] = [x / d for x in a[col]]
|
| 50 |
+
for r in range(n):
|
| 51 |
+
if r == col:
|
| 52 |
+
continue
|
| 53 |
+
f = a[r][col]
|
| 54 |
+
if f:
|
| 55 |
+
a[r] = [x - f * y for x, y in zip(a[r], a[col])]
|
| 56 |
+
return [row[n:] for row in a]
|
| 57 |
+
|
| 58 |
+
|
| 59 |
+
# ---------------------------------------------------------------------- physics
|
| 60 |
+
|
| 61 |
+
def potential_matrix(xy: list[list[float]], radius: list[float]) -> list[list[float]]:
|
| 62 |
+
"""Maxwell potential coefficients, thin-wire/monopole form.
|
| 63 |
+
|
| 64 |
+
The 1/(2*pi*eps0*eps_r) prefactor is omitted deliberately: k is a ratio of
|
| 65 |
+
two capacitances computed from the same medium, so the prefactor cancels
|
| 66 |
+
exactly. Carrying it would only add rounding.
|
| 67 |
+
"""
|
| 68 |
+
n = len(xy)
|
| 69 |
+
p = [[0.0] * n for _ in range(n)]
|
| 70 |
+
for i in range(n):
|
| 71 |
+
for j in range(n):
|
| 72 |
+
if i == j:
|
| 73 |
+
p[i][j] = -math.log(radius[i])
|
| 74 |
+
else:
|
| 75 |
+
dx = xy[i][0] - xy[j][0]
|
| 76 |
+
dy = xy[i][1] - xy[j][1]
|
| 77 |
+
p[i][j] = -math.log(math.hypot(dx, dy))
|
| 78 |
+
return p
|
| 79 |
+
|
| 80 |
+
|
| 81 |
+
def isolated_pair_coupling(ri: float, rj: float, r: float) -> float:
|
| 82 |
+
"""|C_ij| for the pair alone -- the denominator of k."""
|
| 83 |
+
p = [[-math.log(ri), -math.log(r)], [-math.log(r), -math.log(rj)]]
|
| 84 |
+
return abs(inverse(p)[0][1])
|
| 85 |
+
|
| 86 |
+
|
| 87 |
+
def screening_factors(xy: list[list[float]], radius: list[float]) -> list[list[float]]:
|
| 88 |
+
"""k_ij = |C_ij(full array)| / |C_ij(pair alone)| for every off-diagonal pair."""
|
| 89 |
+
n = len(xy)
|
| 90 |
+
c = inverse(potential_matrix(xy, radius))
|
| 91 |
+
k = [[0.0] * n for _ in range(n)]
|
| 92 |
+
for i in range(n):
|
| 93 |
+
for j in range(n):
|
| 94 |
+
if i == j:
|
| 95 |
+
continue
|
| 96 |
+
r = math.hypot(xy[i][0] - xy[j][0], xy[i][1] - xy[j][1])
|
| 97 |
+
iso = isolated_pair_coupling(radius[i], radius[j], r)
|
| 98 |
+
k[i][j] = abs(c[i][j]) / iso if iso > 0 else 0.0
|
| 99 |
+
return k
|
| 100 |
+
|
| 101 |
+
|
| 102 |
+
def family_layout(d0_um: float, pt_mult: float, sep_mult: float, jog_mult: float):
|
| 103 |
+
"""The two-tight-pairs family geometry, in metres.
|
| 104 |
+
|
| 105 |
+
pitch = 1.6 * d0 * pt_mult, separation = pitch * sep_mult, jog = jog_mult *
|
| 106 |
+
separation; four equal conductors of diameter d0 at (0,0), (pitch,0),
|
| 107 |
+
(separation,jog), (separation+pitch,jog).
|
| 108 |
+
"""
|
| 109 |
+
pt = 1.6 * d0_um * pt_mult * 1e-6
|
| 110 |
+
sep = pt * sep_mult
|
| 111 |
+
jog = jog_mult * sep
|
| 112 |
+
xy = [[0.0, 0.0], [pt, 0.0], [sep, jog], [sep + pt, jog]]
|
| 113 |
+
return xy, [d0_um * 1e-6 / 2.0] * 4
|
| 114 |
+
|
| 115 |
+
|
| 116 |
+
def max_family_k(d0_um: float, pt_mult: float, sep_mult: float, jog_mult: float) -> float:
|
| 117 |
+
xy, radius = family_layout(d0_um, pt_mult, sep_mult, jog_mult)
|
| 118 |
+
k = screening_factors(xy, radius)
|
| 119 |
+
return max(k[i][j] for i in range(4) for j in range(4) if i != j)
|
| 120 |
+
|
| 121 |
+
|
| 122 |
+
def born_second_order_k(xy, radius) -> list[list[float]]:
|
| 123 |
+
"""Re-derive the failing extractor: second-order truncation of the inverse."""
|
| 124 |
+
n = len(xy)
|
| 125 |
+
p = potential_matrix(xy, radius)
|
| 126 |
+
dinv = [[1.0 / p[i][i] if i == j else 0.0 for j in range(n)] for i in range(n)]
|
| 127 |
+
r = [[0.0 if i == j else p[i][j] for j in range(n)] for i in range(n)]
|
| 128 |
+
a = [[sum(dinv[i][t] * r[t][j] for t in range(n)) for j in range(n)] for i in range(n)]
|
| 129 |
+
a2 = [[sum(a[i][t] * a[t][j] for t in range(n)) for j in range(n)] for i in range(n)]
|
| 130 |
+
mid = [[(1.0 if i == j else 0.0) - a[i][j] + a2[i][j] for j in range(n)]
|
| 131 |
+
for i in range(n)]
|
| 132 |
+
approx = [[sum(mid[i][t] * dinv[t][j] for t in range(n)) for j in range(n)]
|
| 133 |
+
for i in range(n)]
|
| 134 |
+
k = [[0.0] * n for _ in range(n)]
|
| 135 |
+
for i in range(n):
|
| 136 |
+
for j in range(n):
|
| 137 |
+
if i == j:
|
| 138 |
+
continue
|
| 139 |
+
d = math.hypot(xy[i][0] - xy[j][0], xy[i][1] - xy[j][1])
|
| 140 |
+
iso = isolated_pair_coupling(radius[i], radius[j], d)
|
| 141 |
+
k[i][j] = abs(approx[i][j]) / iso if iso > 0 else 0.0
|
| 142 |
+
return k
|
| 143 |
+
|
| 144 |
+
|
| 145 |
+
# ---------------------------------------------------------------------- checks
|
| 146 |
+
|
| 147 |
+
def check_regions(regions, k_bar, samples, rng, verbose=True):
|
| 148 |
+
worst, worst_at, violations = 0.0, None, []
|
| 149 |
+
for reg in regions:
|
| 150 |
+
b = reg["bounds"]
|
| 151 |
+
for _ in range(samples):
|
| 152 |
+
pt = {n: rng.uniform(b[n]["lo"], b[n]["hi"]) for n in b}
|
| 153 |
+
k = max_family_k(pt["d0_um"], pt["pt_mult"], pt["sep_mult"], pt["jog_mult"])
|
| 154 |
+
if k > worst:
|
| 155 |
+
worst, worst_at = k, (reg["region_id"], pt)
|
| 156 |
+
if k > k_bar:
|
| 157 |
+
violations.append({"region": reg["region_id"], "point": pt, "k": k})
|
| 158 |
+
if verbose:
|
| 159 |
+
print(f" regions {len(regions)} x {samples} samples "
|
| 160 |
+
f"= {len(regions) * samples} layouts")
|
| 161 |
+
print(f" worst sampled k {worst:.12f} (bound {k_bar:.12f})")
|
| 162 |
+
print(f" margin to bound {k_bar - worst:.12f}")
|
| 163 |
+
print(f" violations {len(violations)}")
|
| 164 |
+
if worst_at:
|
| 165 |
+
rid, p = worst_at
|
| 166 |
+
print(f" worst at region {rid} "
|
| 167 |
+
+ " ".join(f"{n}={v:.4f}" for n, v in sorted(p.items())))
|
| 168 |
+
return worst, violations
|
| 169 |
+
|
| 170 |
+
|
| 171 |
+
def check_counterexamples(cases, verbose=True):
|
| 172 |
+
confirmed, failed = 0, []
|
| 173 |
+
for c in cases:
|
| 174 |
+
xy = [[x * 1e-6, y * 1e-6] for x, y in c["xy_um"]]
|
| 175 |
+
radius = [r * 1e-6 for r in c["radius_um"]]
|
| 176 |
+
k = born_second_order_k(xy, radius)
|
| 177 |
+
n = len(xy)
|
| 178 |
+
kmax = max(k[i][j] for i in range(n) for j in range(n) if i != j)
|
| 179 |
+
if kmax > 1.0 and abs(kmax - c["k_predicted"]) < 1e-6:
|
| 180 |
+
confirmed += 1
|
| 181 |
+
else:
|
| 182 |
+
failed.append({"case_id": c["case_id"], "recomputed": kmax,
|
| 183 |
+
"published": c["k_predicted"]})
|
| 184 |
+
if verbose:
|
| 185 |
+
print(f" counterexamples {confirmed}/{len(cases)} re-derived "
|
| 186 |
+
f"and confirmed above the ceiling")
|
| 187 |
+
for f in failed[:5]:
|
| 188 |
+
print(f" MISMATCH {f['case_id']}: "
|
| 189 |
+
f"recomputed {f['recomputed']:.9f} vs published {f['published']:.9f}")
|
| 190 |
+
return confirmed, failed
|
| 191 |
+
|
| 192 |
+
|
| 193 |
+
def load():
|
| 194 |
+
regions = [json.loads(x) for x in
|
| 195 |
+
(DATA / "certified_regions.jsonl").read_text().splitlines() if x.strip()]
|
| 196 |
+
cases = [json.loads(x) for x in
|
| 197 |
+
(DATA / "counterexamples.jsonl").read_text().splitlines() if x.strip()]
|
| 198 |
+
theorem = json.loads((DATA / "theorem.json").read_text())
|
| 199 |
+
return regions, cases, theorem
|
| 200 |
+
|
| 201 |
+
|
| 202 |
+
def self_test() -> int:
|
| 203 |
+
"""A checker that cannot fail is not a checker. Prove it still discriminates."""
|
| 204 |
+
print("negative control")
|
| 205 |
+
rng = random.Random(0)
|
| 206 |
+
ok = True
|
| 207 |
+
|
| 208 |
+
# 1. an impossible bound must be violated by sampling
|
| 209 |
+
regions, _, _ = load()
|
| 210 |
+
_, viol = check_regions(regions[:4], k_bar=0.5, samples=5, rng=rng, verbose=False)
|
| 211 |
+
hit = len(viol) > 0
|
| 212 |
+
print(f" [{'REJECTED' if hit else 'MISSED '}] fabricated bound k_bar=0.5")
|
| 213 |
+
ok &= hit
|
| 214 |
+
|
| 215 |
+
# 2. a tampered counterexample value must not re-derive
|
| 216 |
+
_, cases, _ = load()
|
| 217 |
+
bad = dict(cases[0], k_predicted=cases[0]["k_predicted"] * 1.5)
|
| 218 |
+
_, failed = check_counterexamples([bad], verbose=False)
|
| 219 |
+
print(f" [{'REJECTED' if failed else 'MISSED '}] tampered k_predicted")
|
| 220 |
+
ok &= bool(failed)
|
| 221 |
+
|
| 222 |
+
# 3. a layout with the pair alone must give k == 1 (no screening to find)
|
| 223 |
+
xy, radius = [[0.0, 0.0], [1e-4, 0.0]], [2e-5, 2e-5]
|
| 224 |
+
k = screening_factors(xy, radius)[0][1]
|
| 225 |
+
near1 = abs(k - 1.0) < 1e-9
|
| 226 |
+
print(f" [{'PASSED ' if near1 else 'FAILED '}] isolated pair reproduces k = 1 "
|
| 227 |
+
f"({k:.12f})")
|
| 228 |
+
ok &= near1
|
| 229 |
+
|
| 230 |
+
print(f"\n checker discriminates: {ok}")
|
| 231 |
+
return 0 if ok else 3
|
| 232 |
+
|
| 233 |
+
|
| 234 |
+
def main() -> int:
|
| 235 |
+
ap = argparse.ArgumentParser(description=__doc__,
|
| 236 |
+
formatter_class=argparse.RawDescriptionHelpFormatter)
|
| 237 |
+
ap.add_argument("--samples", type=int, default=25,
|
| 238 |
+
help="interior samples per certified region (default 25)")
|
| 239 |
+
ap.add_argument("--seed", type=int, default=0)
|
| 240 |
+
ap.add_argument("--self-test", action="store_true")
|
| 241 |
+
args = ap.parse_args()
|
| 242 |
+
|
| 243 |
+
if args.self_test:
|
| 244 |
+
return self_test()
|
| 245 |
+
|
| 246 |
+
if not DATA.exists():
|
| 247 |
+
print(f"no data directory at {DATA}", file=sys.stderr)
|
| 248 |
+
return 2
|
| 249 |
+
|
| 250 |
+
regions, cases, theorem = load()
|
| 251 |
+
k_bar = theorem["k_bar"]
|
| 252 |
+
print("screening-ceiling independent re-derivation (stdlib only)\n")
|
| 253 |
+
print(f" claim k <= {k_bar:.12f} for every layout in the family")
|
| 254 |
+
print(f" forced error pairwise over-predicts by >= "
|
| 255 |
+
f"{theorem['forced_pairwise_overprediction_pct']:.4f}%\n")
|
| 256 |
+
|
| 257 |
+
rng = random.Random(args.seed)
|
| 258 |
+
worst, violations = check_regions(regions, k_bar, args.samples, rng)
|
| 259 |
+
print()
|
| 260 |
+
confirmed, failed = check_counterexamples(cases)
|
| 261 |
+
|
| 262 |
+
bad = bool(violations) or bool(failed)
|
| 263 |
+
print()
|
| 264 |
+
if bad:
|
| 265 |
+
print(" REFUTED -- the published claim does not survive re-derivation")
|
| 266 |
+
else:
|
| 267 |
+
print(" consistent: no sampled layout exceeds the bound, and every "
|
| 268 |
+
"counterexample re-derives")
|
| 269 |
+
print(f"\n scope: {theorem['honest_scope']}")
|
| 270 |
+
return 1 if bad else 0
|
| 271 |
+
|
| 272 |
+
|
| 273 |
+
if __name__ == "__main__":
|
| 274 |
+
raise SystemExit(main())
|