module steps
Script for finding configurations
When called directly as main, it will provide the 'scores' of all the possible configurations.
$ python -m mlcsim.steps --help
usage: steps.py [-h] [-b {2,3,4}] [-c {2,3,4,5,6,7,8}] --thr THR
options:
-h, --help show this help message and exit
-b {2,3,4} bits per cell
-c {2,3,4,5,6,7,8} num of cells --thr THR Threshold map JSO
Prints out a pretty markdown table
$ ./mlcsim/steps.py --thr config/thr-split-1.json -b 2 -c 3
Calculating 15.0 permutations...
| config | stdev | sum * err |
|----------------------------|--------------|--------------|
| `[[2, 3], [1, 4], [0, 5]]` | 0.0010835747 | 0.0049746942 |
| `[[2, 3], [1, 5], [0, 4]]` | 0.0010840178 | 0.0049746942 |
| `[[2, 4], [1, 3], [0, 5]]` | 0.0010840178 | 0.0049746942 |
| `[[2, 4], [1, 5], [0, 3]]` | 0.0010846822 | 0.0049746942 |
| `[[2, 5], [1, 3], [0, 4]]` | 0.0010853461 | 0.0049746942 |
| `[[2, 5], [1, 4], [0, 3]]` | 0.0010855673 | 0.0049746942 |
| `[[3, 4], [2, 5], [0, 1]]` | 0.0024939156 | 0.0092341522 |
| `[[3, 5], [2, 4], [0, 1]]` | 0.0024946857 | 0.0092341522 |
| `[[3, 4], [1, 2], [0, 5]]` | 0.0026877419 | 0.0078143329 |
| `[[3, 4], [1, 5], [0, 2]]` | 0.0026880545 | 0.0078143329 |
| `[[3, 5], [1, 2], [0, 4]]` | 0.0026889923 | 0.0078143329 |
| `[[3, 5], [1, 4], [0, 2]]` | 0.0026891262 | 0.0078143329 |
| `[[4, 5], [2, 3], [0, 1]]` | 0.0056367465 | 0.0149134295 |
| `[[4, 5], [1, 2], [0, 3]]` | 0.0059556212 | 0.0134936102 |
| `[[4, 5], [1, 3], [0, 2]]` | 0.0059556414 | 0.0134936102 |
$ ./mlcsim/steps.py --thr config/thr-uniform.json -b 2 -c 3
Calculating 15.0 permutations...
| config | stdev | sum * err |
|----------------------------|--------------|--------------|
| `[[2, 3], [1, 4], [0, 5]]` | 0.0003343276 | 0.0019472414 |
| `[[2, 3], [1, 5], [0, 4]]` | 0.0003564553 | 0.0019472414 |
| `[[2, 4], [1, 3], [0, 5]]` | 0.0003564553 | 0.0019472414 |
| `[[2, 4], [1, 5], [0, 3]]` | 0.0003872836 | 0.0019472414 |
| `[[2, 5], [1, 3], [0, 4]]` | 0.0004158326 | 0.0019472414 |
| `[[2, 5], [1, 4], [0, 3]]` | 0.0004249229 | 0.0019472414 |
| `[[3, 4], [1, 2], [0, 5]]` | 0.0004249229 | 0.0019472414 |
| `[[3, 4], [1, 5], [0, 2]]` | 0.0004553120 | 0.0019472414 |
| `[[3, 4], [2, 5], [0, 1]]` | 0.0005162753 | 0.0019472414 |
| `[[3, 5], [1, 2], [0, 4]]` | 0.0005362441 | 0.0019472414 |
| `[[3, 5], [1, 4], [0, 2]]` | 0.0005468288 | 0.0019472414 |
| `[[3, 5], [2, 4], [0, 1]]` | 0.0005724352 | 0.0019472414 |
| `[[4, 5], [1, 2], [0, 3]]` | 0.0007242115 | 0.0019472414 |
| `[[4, 5], [1, 3], [0, 2]]` | 0.0007268450 | 0.0019472414 |
| `[[4, 5], [2, 3], [0, 1]]` | 0.0007359881 | 0.0019472414 |
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