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5
.gitignore
vendored
5
.gitignore
vendored
@ -136,4 +136,7 @@ dmypy.json
|
||||
.pytype/
|
||||
|
||||
# Cython debug symbols
|
||||
cython_debug/
|
||||
cython_debug/
|
||||
|
||||
.csv
|
||||
.idea
|
||||
|
||||
10
.versionrc
Normal file
10
.versionrc
Normal file
@ -0,0 +1,10 @@
|
||||
{
|
||||
"bumpFiles": [
|
||||
{
|
||||
"filename": "pyproject.toml",
|
||||
"updater": "scripts/standard-version/pyproject-updater.js"
|
||||
}
|
||||
],
|
||||
"sign": true,
|
||||
"tag-prefix": ""
|
||||
}
|
||||
29
CHANGELOG.md
Normal file
29
CHANGELOG.md
Normal file
@ -0,0 +1,29 @@
|
||||
# Changelog
|
||||
|
||||
All notable changes to this project will be documented in this file. See [standard-version](https://github.com/conventional-changelog/standard-version) for commit guidelines.
|
||||
|
||||
### [0.5.4](https://gitea.deepak.science:2222/physics/pdme/compare/0.5.3...0.5.4) (2022-03-06)
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||||
|
||||
|
||||
### Bug Fixes
|
||||
|
||||
* lets you get model from discretisation for fixed magnitude models in type hintable way ([548dcfe](https://gitea.deepak.science:2222/physics/pdme/commit/548dcfebfc7cd6354ad708b3ab0e664881c58de4))
|
||||
|
||||
### [0.5.3](https://gitea.deepak.science:2222/physics/pdme/compare/0.5.2...0.5.3) (2022-03-06)
|
||||
|
||||
|
||||
### Features
|
||||
|
||||
* Adds between utility function ([a782b49](https://gitea.deepak.science:2222/physics/pdme/commit/a782b4957f2aebfb0bf9a3c7d4166277a5450b76))
|
||||
* Adds fast calc expressions ([0855911](https://gitea.deepak.science:2222/physics/pdme/commit/08559110be197b7f4a685d5e44e248f914853a3c))
|
||||
* Adds numpy make more dipoles at once and converters ([c70a971](https://gitea.deepak.science:2222/physics/pdme/commit/c70a971ce09bda236a84cfcff309d9a9cf2092d9))
|
||||
* Calculates range measurements. ([2d773df](https://gitea.deepak.science:2222/physics/pdme/commit/2d773df7259378ba9285776407b2cb5ae380d809))
|
||||
|
||||
### [0.5.2](https://gitea.deepak.science:2222/physics/pdme/compare/0.5.1...0.5.2) (2022-03-06)
|
||||
|
||||
### [0.5.1](https://gitea.deepak.science:2222/physics/pdme/compare/0.5.0...0.5.1) (2022-03-05)
|
||||
|
||||
|
||||
### Bug Fixes
|
||||
|
||||
* Fixes typo ([31762de](https://gitea.deepak.science:2222/physics/pdme/commit/31762de69785b9c25704605b132c52036ad6dad3))
|
||||
20
Jenkinsfile
vendored
20
Jenkinsfile
vendored
@ -4,7 +4,7 @@ pipeline {
|
||||
label 'pdme' // all your pods will be named with this prefix, followed by a unique id
|
||||
idleMinutes 5 // how long the pod will live after no jobs have run on it
|
||||
yamlFile 'jenkins/ci-agent-pod.yaml' // path to the pod definition relative to the root of our project
|
||||
defaultContainer 'python' // define a default container if more than a few stages use it, will default to jnlp container
|
||||
defaultContainer 'poetry' // define a default container if more than a few stages use it, will default to jnlp container
|
||||
}
|
||||
}
|
||||
|
||||
@ -12,36 +12,30 @@ pipeline {
|
||||
parallelsAlwaysFailFast()
|
||||
}
|
||||
|
||||
environment {
|
||||
POETRY_HOME="/opt/poetry"
|
||||
POETRY_VERSION="1.1.12"
|
||||
}
|
||||
|
||||
stages {
|
||||
stage('Build') {
|
||||
steps {
|
||||
echo 'Building...'
|
||||
sh 'python --version'
|
||||
sh 'curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python'
|
||||
sh '${POETRY_HOME}/bin/poetry --version'
|
||||
sh '${POETRY_HOME}/bin/poetry install'
|
||||
sh 'poetry --version'
|
||||
sh 'poetry install'
|
||||
}
|
||||
}
|
||||
stage('Test') {
|
||||
parallel{
|
||||
stage('pytest') {
|
||||
steps {
|
||||
sh '${POETRY_HOME}/bin/poetry run pytest'
|
||||
sh 'poetry run pytest'
|
||||
}
|
||||
}
|
||||
stage('lint') {
|
||||
steps {
|
||||
sh '${POETRY_HOME}/bin/poetry run flake8 pdme tests'
|
||||
sh 'poetry run flake8 pdme tests'
|
||||
}
|
||||
}
|
||||
stage('mypy') {
|
||||
steps {
|
||||
sh '${POETRY_HOME}/bin/poetry run mypy pdme'
|
||||
sh 'poetry run mypy pdme'
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -57,7 +51,7 @@ pipeline {
|
||||
}
|
||||
steps {
|
||||
echo 'Deploying...'
|
||||
sh '${POETRY_HOME}/bin/poetry publish -u ${PYPI_USR} -p ${PYPI_PSW} --build'
|
||||
sh 'poetry publish -u ${PYPI_USR} -p ${PYPI_PSW} --build'
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
15
README.md
15
README.md
@ -1 +1,16 @@
|
||||
# pdme - the python dipole model evaluator
|
||||
|
||||
[](https://conventionalcommits.org)
|
||||
[](https://pypi.org/project/pdme/)
|
||||
[](https://jenkins.deepak.science/job/gitea-physics/job/pdme/job/master/)
|
||||
|
||||
|
||||
|
||||
|
||||
This repo has library code for evaluating dipole models.
|
||||
|
||||
## Getting started
|
||||
|
||||
`poetry install` to start locally
|
||||
|
||||
Commit using [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/), and when commits are on master, release with `doo release`.
|
||||
|
||||
4
do.sh
4
do.sh
@ -20,6 +20,10 @@ htmlcov() {
|
||||
poetry run pytest --cov-report=html
|
||||
}
|
||||
|
||||
release() {
|
||||
./scripts/release.sh
|
||||
}
|
||||
|
||||
all() {
|
||||
build && test
|
||||
}
|
||||
|
||||
@ -1,9 +1,11 @@
|
||||
apiVersion: v1
|
||||
kind: Pod
|
||||
spec:
|
||||
imagePullSecrets:
|
||||
- name: regcreds
|
||||
containers: # list of containers that you want present for your build, you can define a default container in the Jenkinsfile
|
||||
- name: python
|
||||
image: python:3.8
|
||||
- name: poetry
|
||||
image: ghcr.io/dmallubhotla/poetry-image:1
|
||||
command: ["tail", "-f", "/dev/null"] # this or any command that is bascially a noop is required, this is so that you don't overwrite the entrypoint of the base container
|
||||
imagePullPolicy: Always # use cache or pull image for agent
|
||||
resources: # limits the resources your build contaienr
|
||||
|
||||
@ -1,101 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"(-8.394403299734375, -2.741796202195128, -4.607934528693184)","(0.6990690716183998, -8.96155114863804, 3.798412465313307)","1","2937","13500","2899","13500","2682","13500"
|
||||
"(1.859825234524071, -4.631346659179552, -5.493691917527049)","(4.345196905355175, 9.376641059442004, 4.21787361713405)","2","594","13500","534","13500","542","13500"
|
||||
"(-3.9422518774752704, -4.20151424266108, -5.609282080482728)","(-7.511885166861076, 6.185469949366215, 4.18551101584637)","3","6879","13500","6986","13500","7058","13500"
|
||||
"(-3.6651359764720888, 4.361287683238619, -0.4977129832528774)","(1.1222657169816141, 6.729626399116107, 4.4190410710812715)","4","914","13500","896","13500","816","13500"
|
||||
"(5.4983834576655415, -5.149555721727474, -2.9059322478486402)","(1.9839470252872733, 1.4497555695501845, 4.341665613269578)","5","64","13500","58","13500","6","13500"
|
||||
"(-2.6694049149389856, -8.996704004458167, -1.886496379233655)","(-3.3167277852261234, -0.20349702062781816, 3.612093006422956)","6","234","13500","310","13500","208","13500"
|
||||
"(-6.254663819409533, -5.17685615774952, -1.5795535534851701)","(6.579193043996991, 3.2559058012111706, 3.945482294020141)","7","184","13500","232","13500","206","13500"
|
||||
"(-2.3965267421857805, -0.1426781261324307, 2.726095696980245)","(9.812730489596689, 5.655333946553924, 3.811001888246572)","8","7126","13500","7171","13500","7207","13500"
|
||||
"(1.6355032955738602, 3.06789745500179, -1.2813116242722953)","(-6.170953785796478, -6.01469707093945, 4.291160187272589)","9","2248","13500","2600","13500","3060","13500"
|
||||
"(4.701041346434566, -4.598509019375965, -0.9430843236669983)","(5.696471338191589, 7.49904919567571, 4.493589702763421)","10","1004","13500","1100","13500","1298","13500"
|
||||
"(-4.723993570264787, 1.13293746497593, 8.520960982794042)","(6.961487895455377, 8.015424617689195, 3.5854967593904394)","11","1138","13500","1213","13500","1454","13500"
|
||||
"(-5.760613247404216, 7.081750697436045, -0.9919946387539863)","(-4.937652187684451, -1.5061643772297089, 4.31540612670304)","12","862","13500","946","13500","936","13500"
|
||||
"(3.528819362420093, -2.392856476308712, -7.4342903162298075)","(-4.099422078022544, -9.325040195505101, 4.116705744539639)","13","6860","13500","6791","13500","6743","13500"
|
||||
"(-0.9100683062008937, -5.783785114000128, 7.174017658154602)","(-0.8802975115483811, -8.671075713094933, 4.469813699926449)","14","944","13500","1036","13500","1026","13500"
|
||||
"(-5.383065244258856, 4.520588452647939, -5.935042401267746)","(-0.9939953179241243, 0.13066179695765712, 4.4279335798663375)","15","84","13500","68","13500","16","13500"
|
||||
"(-2.6540804654577674, 2.546919220535922, 5.375707698483995)","(5.113886482738877, -8.262301262617369, 3.782907179152329)","16","7287","13500","7523","13500","7558","13500"
|
||||
"(4.222005887886027, 7.538188681602292, 4.203854740545428)","(6.161028049055869, -3.830321784906346, 4.415709125389534)","17","7067","13500","7176","13500","7102","13500"
|
||||
"(-3.15644606460527, -5.329707083106276, 2.704961488260325)","(7.814569971693082, -0.038088373454183255, 3.8303790864319467)","18","6935","13500","7067","13500","6915","13500"
|
||||
"(-7.277680598922026, -2.8253329583318503, -1.148288512550368)","(6.64211537129362, -2.8241872160777515, 4.179539167210859)","19","770","13500","650","13500","638","13500"
|
||||
"(3.1745827237839337, 5.518221007264731, -7.056298214409336)","(1.5880359702992592, -1.2346860578604417, 4.436949897452313)","20","100","13500","82","13500","46","13500"
|
||||
"(-3.9837603828381702, -3.846190531568091, -3.5593740442996795)","(3.2092960126960115, 4.456520065762797, 4.203158185013188)","21","203","13500","216","13500","128","13500"
|
||||
"(-5.291919196376568, -4.249710093481788, -5.41303840771628)","(-2.333790415760671, 7.360548507835652, 3.5111631503401046)","22","564","13500","546","13500","531","13500"
|
||||
"(1.2458153060249753, 7.285596076781913, -4.53422433697739)","(-8.15438321990017, -5.813953704541877, 4.418252724499716)","23","1664","13500","1980","13500","2186","13500"
|
||||
"(-2.76355115227314, 6.775125299326909, -6.640665328863606)","(5.690574170252958, -1.258691301412897, 3.752101613890688)","24","158","13500","88","13500","22","13500"
|
||||
"(1.8897283340066036, 5.156980917794623, 7.678890379129224)","(-3.928088425987828, -3.497894081082964, 4.00856554264863)","25","6943","13500","6914","13500","7039","13500"
|
||||
"(2.996793991100871, -2.8556774859407885, -2.682394270029828)","(-4.392126208256959, -6.247175829109802, 3.78844055203133)","26","6793","13500","6902","13500","6959","13500"
|
||||
"(-5.873978570478022, -0.10810489863611472, 0.4098010277826613)","(-4.853374215182544, -0.3392936906512656, 3.7593793553619723)","27","768","13500","660","13500","792","13500"
|
||||
"(-1.2295157619602355, -0.9533043498271472, -5.013711684351103)","(4.966969478507568, -6.419739155898332, 4.478955364511799)","28","1376","13500","1502","13500","1602","13500"
|
||||
"(3.3280216682561172, -4.776470388412108, 5.933408931329477)","(5.225791261735759, -8.039947873883346, 4.330950095994171)","29","1092","13500","1308","13500","1242","13500"
|
||||
"(-1.1524820483113067, 3.3676199968222007, -6.447244985319373)","(-3.365698825669843, -7.823544190252827, 4.480522584086504)","30","1674","13500","1894","13500","2126","13500"
|
||||
"(6.847631825724908, -3.116108950640111, -2.002158728592441)","(-7.904883078822682, 5.770241516729497, 4.270246360901788)","31","988","13500","1292","13500","1264","13500"
|
||||
"(3.9865601226955723, -3.0741490528970163, -4.832637220059177)","(1.3517585394059228, -9.1219650648347, 3.6823641932717632)","32","7112","13500","6969","13500","6805","13500"
|
||||
"(-4.168472035652406, 7.5436496450903405, -0.5164567657273467)","(-9.617107958140203, -7.309157826802306, 4.157793979823828)","33","6813","13500","6829","13500","6860","13500"
|
||||
"(-7.130664999984266, 3.512218953469125, -5.583614013534945)","(4.179987195263603, -4.183435235616068, 3.614381766035873)","34","244","13500","280","13500","204","13500"
|
||||
"(7.538427135433331, -3.5572143126707263, -0.26483482537195546)","(8.253356046670937, -9.898966991838146, 3.8605154018150443)","35","1666","13500","1876","13500","2072","13500"
|
||||
"(1.9288772655422912, 1.5217637197923253, -6.739166923455718)","(-2.8799191263313535, -8.725965841587369, 4.178227225866321)","36","1535","13500","1718","13500","1894","13500"
|
||||
"(-4.401939293279974, -3.2679352541805873, -1.9376303031813007)","(-3.760493654473633, -8.242070700424623, 4.014630073607101)","37","1472","13500","1721","13500","1892","13500"
|
||||
"(-6.571860637992528, -3.001285279708493, -2.4189645938547493)","(-1.236006979567179, -4.918408248041544, 4.105303056705809)","38","1037","13500","1260","13500","1328","13500"
|
||||
"(0.12893833267327193, -4.517038390272907, -4.97294839023136)","(-0.4656256141433772, -3.427795875927524, 4.128710261159359)","39","6952","13500","7002","13500","7027","13500"
|
||||
"(-5.395484737831286, -0.983130424414826, -6.687400367838399)","(-4.636459920255181, 0.879777685208305, 4.4115666235036715)","40","6824","13500","6885","13500","6982","13500"
|
||||
"(1.1052486235353642, -4.848005335584978, 4.444566494630194)","(6.715481192778075, -5.496626668472939, 3.749176582170214)","41","1044","13500","1180","13500","1140","13500"
|
||||
"(3.4396532893962966, 2.4244648831845432, -5.01800325658646)","(4.6253825225794785, 3.241475704745687, 3.8161137388201345)","42","454","13500","507","13500","403","13500"
|
||||
"(-2.9673084148083073, -2.7534207120463443, -0.706528322977137)","(-7.295196867765608, -6.401732771415414, 3.8698371015791455)","43","1230","13500","1351","13500","1447","13500"
|
||||
"(3.5506751406943238, -7.856406429458245, 2.0724666779936665)","(3.1898686816835813, 7.275084177104713, 4.346027994595675)","44","744","13500","815","13500","801","13500"
|
||||
"(-2.396204146370333, -5.998435359160176, -4.998623697255808)","(1.1665571546012643, 8.267833275315375, 4.173114274965431)","45","367","13500","408","13500","504","13500"
|
||||
"(1.988088481074339, -0.952243420387878, -3.404987244985684)","(9.953863468920868, -2.373172232569898, 3.504634155967552)","46","7184","13500","7049","13500","6962","13500"
|
||||
"(-6.728913003593054, 5.7217519132626125, -0.6690269690352655)","(-4.638855214223117, 9.017697951962987, 4.433586136875334)","47","912","13500","1078","13500","1193","13500"
|
||||
"(0.898412621413605, 2.858927126961118, 3.3694271431239726)","(-3.342141091313138, -5.630726049638435, 3.73650780111009)","48","7187","13500","7290","13500","7229","13500"
|
||||
"(-4.532234703677105, -4.274810399777949, -3.875725349182983)","(1.2854542050944335, 9.187804568807472, 4.278167547669827)","49","865","13500","902","13500","886","13500"
|
||||
"(-2.5689769316463194, -1.8983472453072585, 3.400960267325491)","(4.420409550028877, 6.339428635077837, 3.507587100931773)","50","6930","13500","6833","13500","6727","13500"
|
||||
"(5.343718990507927, 4.225982487874972, 4.675760951571134)","(3.7608976931931615, -0.4286749518482651, 3.527434893715424)","51","80","13500","40","13500","0","13500"
|
||||
"(-2.551777030060732, -4.409473516507138, -3.335118150104721)","(2.255465115045981, -2.3409749124123884, 3.9759224218217972)","52","6872","13500","7017","13500","6905","13500"
|
||||
"(-6.178923654135948, -4.760036193191251, -5.410807156738262)","(8.993977697098511, 8.409205411107877, 3.9811679532170974)","53","786","13500","852","13500","787","13500"
|
||||
"(-0.7298002025690966, 0.7884321084844347, -0.6280373581218569)","(2.4081697361903878, -5.016575360843909, 4.187585237315533)","54","7065","13500","7077","13500","6838","13500"
|
||||
"(2.558836675421778, 5.575561955404615, 2.3323944563487964)","(2.3760611879398432, 0.7062206905749697, 4.23896173543061)","55","164","13500","148","13500","64","13500"
|
||||
"(7.526430818374149, -2.017762338198632, 5.175810339407134)","(3.1078893011499513, 4.725685474957995, 3.7762756750165543)","56","148","13500","126","13500","50","13500"
|
||||
"(-4.340247971586856, -6.098349014648726, -5.45622649731017)","(-3.085408520301227, 3.7565606075975406, 3.976611517346405)","57","420","13500","436","13500","382","13500"
|
||||
"(5.531731081428806, 0.2870394583279482, -3.170146934158759)","(-8.108136962700938, -6.317688772333696, 4.33873285840947)","58","1326","13500","1438","13500","1617","13500"
|
||||
"(3.9256796177101525, 3.6998712352720458, -3.0900044778897793)","(-1.795877310233271, 9.422404286696526, 4.405996996954238)","59","7152","13500","7193","13500","7153","13500"
|
||||
"(-2.169395880745919, 7.5508524539653, -3.717223424236534)","(0.24323803009268907, -6.874228916716378, 4.24742490188323)","60","917","13500","1096","13500","1019","13500"
|
||||
"(-6.669714278343257, -5.147443185028839, 4.137635234651696)","(-8.430180257973841, -2.0140469957812908, 4.235348624313792)","61","1232","13500","1438","13500","1630","13500"
|
||||
"(-0.3593168231009633, -2.1117351165304554, -2.756108902846217)","(-1.8782340680728904, 1.4613848889895227, 4.343762312734049)","62","717","13500","770","13500","698","13500"
|
||||
"(0.9983936769481018, 4.188023832441788, -5.9331456363477955)","(0.8944912321349978, -6.776488809453928, 3.887547488457294)","63","1158","13500","1266","13500","1206","13500"
|
||||
"(2.214994253682965, -6.894913418212955, 4.758359046752466)","(1.1738589158380108, -2.5838588695142573, 4.440114651140596)","64","189","13500","242","13500","116","13500"
|
||||
"(-2.658319675750278, -0.6584675782558327, -2.7431885267559846)","(2.431658445736012, -4.567490516161101, 4.238378174842468)","65","6672","13500","6621","13500","6540","13500"
|
||||
"(-6.115545061618803, -7.705430834184344, -0.6220594474800761)","(7.8444120516866676, -2.6359598241399285, 3.6573003062135934)","66","6713","13500","6809","13500","6763","13500"
|
||||
"(3.6172075804508106, -1.9284195561088269, 5.555689450608144)","(-6.548188677428666, -0.19032549890035888, 3.5175694382538767)","67","6829","13500","6951","13500","6955","13500"
|
||||
"(-9.15488421523017, 0.2200324094763304, 2.670522675374402)","(5.714040628321273, 8.26094993874144, 4.418820286217649)","68","1302","13500","1366","13500","1480","13500"
|
||||
"(0.6137958704382189, 5.425851817261803, 0.6869058196054374)","(-6.51011885452384, -7.481604965018793, 3.794739192743144)","69","7295","13500","7487","13500","7444","13500"
|
||||
"(1.8319902089796716, -1.7052093525364755, -1.5357432780633788)","(-3.9924181152346927, 7.510980653555592, 3.7418052192222016)","70","1383","13500","1544","13500","1648","13500"
|
||||
"(1.5562306000284276, 3.024132658533559, 3.661586103212843)","(-0.7385679794324034, -6.539530438463801, 4.284811834925752)","71","7111","13500","7184","13500","7205","13500"
|
||||
"(-6.1074620301655465, 5.384039657771404, -2.225649245224208)","(-2.608510581490675, -6.922625923425592, 3.971388620225418)","72","5418","13500","5598","13500","5587","13500"
|
||||
"(-2.8693186242377386, 3.908148411239099, 6.447553912002863)","(-6.143798646105374, -1.6029871965117515, 3.77795706478234)","73","1556","13500","1730","13500","1768","13500"
|
||||
"(-3.0254363994984104, 2.2450791278158357, 6.143327369483291)","(0.8544434777428229, 4.255347460313017, 3.7262914176120185)","74","136","13500","46","13500","6","13500"
|
||||
"(-5.458497976646368, 1.9668922250151184, -6.075598564484432)","(-8.918431896435788, -2.208767649326047, 4.433799571234449)","75","7243","13500","7225","13500","7183","13500"
|
||||
"(1.8746483443977506, -4.918359592579003, -5.153505125723421)","(9.712029704918773, 9.307277045929784, 4.370109835098039)","76","7029","13500","6952","13500","6981","13500"
|
||||
"(2.439241459895718, -1.0479850240226736, -8.979891784871686)","(-5.966228557046442, -7.645022694606578, 4.358305265022214)","77","7170","13500","7182","13500","6935","13500"
|
||||
"(-5.222878892836496, 3.6453173981381193, -4.7705449483482045)","(-5.032838059471385, -8.291748530973367, 4.3869919376089825)","78","6959","13500","6873","13500","6700","13500"
|
||||
"(-6.47940518306738, -4.236610566236078, 0.7683351361269996)","(-7.82483442691386, 4.134181541913014, 3.880527385212646)","79","1450","13500","1603","13500","1802","13500"
|
||||
"(-2.9370830024468453, -4.841258132022557, -4.13134185227759)","(6.040439892028971, 0.973553096817179, 3.5140698438190956)","80","294","13500","330","13500","196","13500"
|
||||
"(-2.3663116097696633, -4.855499659383513, 1.9920107402669622)","(3.701387712409323, -7.251501600742678, 3.7350101289391846)","81","1393","13500","1601","13500","1777","13500"
|
||||
"(-2.6554273437321587, 8.604888570531829, 2.537614705213776)","(0.754765294150932, -9.150595050904665, 4.008176571132182)","82","1576","13500","1908","13500","2016","13500"
|
||||
"(4.950050236685688, -8.021202942232057, 0.2997741256000333)","(6.285766477652878, 1.8889358463078914, 4.407003270314806)","83","621","13500","567","13500","563","13500"
|
||||
"(-4.084843741486609, -3.737834534080842, 5.388072062900191)","(-2.506641153953675, -5.2024956197613985, 3.8961280924068586)","84","987","13500","1104","13500","958","13500"
|
||||
"(2.7022073337770247, 1.4669450534672248, 2.368918032019529)","(-5.320569318247525, -6.475127062204049, 3.5226105324764565)","85","7249","13500","7360","13500","7318","13500"
|
||||
"(-0.3252592708970592, 4.932671097600122, 6.969504147283133)","(-9.93821168899215, -9.70079963475144, 4.209934587817141)","86","7218","13500","7119","13500","7100","13500"
|
||||
"(4.957041136462486, 1.121830218484448, -3.075537364565216)","(-4.796921784516219, -6.198583012473325, 3.9577741666058315)","87","1358","13500","1548","13500","1615","13500"
|
||||
"(-2.1633274817411947, 6.364818529028748, -4.9859713758133735)","(5.626262869068315, 0.23992608330854637, 3.842386945621137)","88","228","13500","206","13500","128","13500"
|
||||
"(-1.8400731012816351, 6.390246923942479, 6.937635436333114)","(2.1580547201887654, 2.5245118516402485, 3.6117392282117287)","89","48","13500","0","13500","0","13500"
|
||||
"(2.3937359541046326, -1.7120252930993696, -5.05220751953877)","(2.1774520632957035, -0.8110069037103713, 3.6615872998316745)","90","224","13500","116","13500","30","13500"
|
||||
"(-0.4504382167149993, 8.124824787338, -4.092849891229395)","(7.892513869349958, -7.457278776211231, 4.3351821499647825)","91","1338","13500","1502","13500","1806","13500"
|
||||
"(-1.819257909626675, -1.1955206008300214, 2.956331873988274)","(7.51918900289127, -2.3867986983196214, 4.385700405852607)","92","6799","13500","6849","13500","6831","13500"
|
||||
"(-3.4532614486999793, -2.891892725175883, 1.857631909826914)","(-5.4121256059850475, 6.738434705814861, 3.6136158029208403)","93","6993","13500","6870","13500","6883","13500"
|
||||
"(-2.0681371667599993, -1.291636366362397, -0.14161278068545158)","(-7.863635827591322, 9.387617521625195, 3.6452585970797706)","94","7081","13500","7062","13500","7030","13500"
|
||||
"(-5.557111642298841, 1.267535343152038, 3.647424212634726)","(-0.49848336551427685, -9.198509190171187, 3.762486028795368)","95","6979","13500","7153","13500","7000","13500"
|
||||
"(-2.61306248718091, 4.639212355850336, -4.893563723863182)","(3.5047210502681168, 0.4605123046644053, 3.858019617659242)","96","120","13500","68","13500","24","13500"
|
||||
"(-0.881598016467437, 2.041943869947487, 0.03471882691823845)","(-0.40799668695955305, -4.066009588196224, 3.5103370608640647)","97","7116","13500","7140","13500","6701","13500"
|
||||
"(-0.3867474477179286, -8.176602602762294, 1.4417058544771313)","(-9.13836167924802, 4.75969074092761, 4.074009275431829)","98","6837","13500","6823","13500","6742","13500"
|
||||
"(-3.936245090106337, -6.3731961312399354, -5.419640087611273)","(-8.411712473068793, 6.918676208391027, 3.8461565255620287)","99","6823","13500","6866","13500","6825","13500"
|
||||
"(3.051924711775824, -6.276447172511237, -0.09037163146027993)","(-8.886064716667534, 7.797749161418274, 3.5432018002900447)","100","1062","13500","1304","13500","1421","13500"
|
||||
|
@ -1,4 +1,4 @@
|
||||
from pdme.measurement.dot_measure import DotMeasurement
|
||||
from pdme.measurement.oscillating_dipole import OscillatingDipole, OscillatingDipoleArrangement
|
||||
|
||||
__all__ = ['DotMeasurement', 'OscillatingDipole', 'OscillatingDipoleArrangement']
|
||||
__all__ = ['DotMeasurement', 'DotRangeMeasurement', 'OscillatingDipole', 'OscillatingDipoleArrangement']
|
||||
|
||||
@ -23,3 +23,28 @@ class DotMeasurement():
|
||||
|
||||
def __post_init__(self) -> None:
|
||||
self.r = numpy.array(self.r)
|
||||
|
||||
|
||||
@dataclass
|
||||
class DotRangeMeasurement():
|
||||
'''
|
||||
Representation of a dot measuring oscillating dipoles.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
v_low : float
|
||||
The lower range of voltage measured at the dot.
|
||||
v_high : float
|
||||
The upper range of voltage measured at the dot.
|
||||
r : numpy.ndarray
|
||||
The position of the dot.
|
||||
f : float
|
||||
The measurement frequency.
|
||||
'''
|
||||
v_low: float
|
||||
v_high: float
|
||||
r: numpy.ndarray
|
||||
f: float
|
||||
|
||||
def __post_init__(self) -> None:
|
||||
self.r = numpy.array(self.r)
|
||||
|
||||
@ -2,7 +2,7 @@ from dataclasses import dataclass
|
||||
import numpy
|
||||
import numpy.typing
|
||||
from typing import Sequence, List, Tuple
|
||||
from pdme.measurement.dot_measure import DotMeasurement
|
||||
from pdme.measurement.dot_measure import DotMeasurement, DotRangeMeasurement
|
||||
|
||||
|
||||
DotInput = Tuple[numpy.typing.ArrayLike, float]
|
||||
@ -11,7 +11,7 @@ DotInput = Tuple[numpy.typing.ArrayLike, float]
|
||||
@dataclass
|
||||
class OscillatingDipole():
|
||||
'''
|
||||
Representation of an oscilltaing dipole, either known or guessed.
|
||||
Representation of an oscillating dipole, either known or guessed.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
@ -54,6 +54,16 @@ class OscillatingDipole():
|
||||
return (1 / numpy.pi) * (self.w / (f**2 + self.w**2))
|
||||
|
||||
|
||||
def dot_inputs_to_array(dot_inputs: Sequence[DotInput]) -> numpy.ndarray:
|
||||
return numpy.array([numpy.append(numpy.array(input[0]), input[1]) for input in dot_inputs])
|
||||
|
||||
|
||||
def dot_range_measurements_low_high_arrays(dot_range_measurements: Sequence[DotRangeMeasurement]) -> Tuple[numpy.ndarray, numpy.ndarray]:
|
||||
lows = [measurement.v_low for measurement in dot_range_measurements]
|
||||
highs = [measurement.v_high for measurement in dot_range_measurements]
|
||||
return (numpy.array(lows), numpy.array(highs))
|
||||
|
||||
|
||||
class OscillatingDipoleArrangement():
|
||||
'''
|
||||
A collection of oscillating dipoles, which we are interested in being able to characterise.
|
||||
@ -75,3 +85,14 @@ class OscillatingDipoleArrangement():
|
||||
For a series of points, each with three coordinates and a frequency, return a list of the corresponding DotMeasurements.
|
||||
'''
|
||||
return [self.get_dot_measurement(dot_input) for dot_input in dot_inputs]
|
||||
|
||||
def get_percent_range_dot_measurement(self, dot_input: DotInput, low_percent: float, high_percent: float) -> DotRangeMeasurement:
|
||||
r = numpy.array(dot_input[0])
|
||||
f = dot_input[1]
|
||||
return DotRangeMeasurement(low_percent * sum([dipole.s_at_position(r, f) for dipole in self.dipoles]), high_percent * sum([dipole.s_at_position(r, f) for dipole in self.dipoles]), r, f)
|
||||
|
||||
def get_percent_range_dot_measurements(self, dot_inputs: Sequence[DotInput], low_percent: float, high_percent: float) -> List[DotRangeMeasurement]:
|
||||
'''
|
||||
For a series of points, each with three coordinates and a frequency, and also a lower error range and upper error range, return a list of the corresponding DotRangeMeasurements.
|
||||
'''
|
||||
return [self.get_percent_range_dot_measurement(dot_input, low_percent, high_percent) for dot_input in dot_inputs]
|
||||
|
||||
@ -62,6 +62,23 @@ class FixedMagnitudeModel(Model):
|
||||
s_pts = numpy.array((self.rng.uniform(self.xmin, self.xmax), self.rng.uniform(self.ymin, self.ymax), self.rng.uniform(self.zmin, self.zmax)))
|
||||
return OscillatingDipoleArrangement([OscillatingDipole(numpy.array([px, py, pz]), s_pts, frequency)])
|
||||
|
||||
def get_n_single_dipoles(self, n: int, max_frequency: float) -> numpy.ndarray:
|
||||
# psw
|
||||
|
||||
theta = 2 * numpy.pi * self.rng.random(n)
|
||||
phi = numpy.arccos(2 * self.rng.random(n) - 1)
|
||||
px = self.pfixed * numpy.cos(theta) * numpy.sin(phi)
|
||||
py = self.pfixed * numpy.sin(theta) * numpy.sin(phi)
|
||||
pz = self.pfixed * numpy.cos(phi)
|
||||
|
||||
sx = self.rng.uniform(self.xmin, self.xmax, n)
|
||||
sy = self.rng.uniform(self.ymin, self.ymax, n)
|
||||
sz = self.rng.uniform(self.zmin, self.zmax, n)
|
||||
|
||||
w = self.rng.uniform(1, max_frequency, n)
|
||||
|
||||
return numpy.array([px, py, pz, sx, sy, sz, w]).T
|
||||
|
||||
def n(self) -> int:
|
||||
return self._n
|
||||
|
||||
@ -173,6 +190,9 @@ class FixedMagnitudeDiscretisation(Discretisation):
|
||||
]
|
||||
)
|
||||
|
||||
def get_model(self) -> Model:
|
||||
return self.model
|
||||
|
||||
def all_indices(self) -> numpy.ndindex:
|
||||
# see https://github.com/numpy/numpy/issues/20706 for why this is a mypy problem.
|
||||
return numpy.ndindex((self.num_ptheta, self.num_pphi, self.num_x, self.num_y, self.num_z)) # type:ignore
|
||||
|
||||
@ -26,6 +26,9 @@ class Model():
|
||||
def get_dipoles(self, frequency: float) -> OscillatingDipoleArrangement:
|
||||
raise NotImplementedError
|
||||
|
||||
def get_n_single_dipoles(self, n: int, max_frequency: float) -> numpy.ndarray:
|
||||
raise NotImplementedError
|
||||
|
||||
def solution_single_dipole(self, pt: numpy.ndarray) -> OscillatingDipole:
|
||||
raise NotImplementedError
|
||||
|
||||
@ -111,3 +114,6 @@ class Discretisation():
|
||||
|
||||
def solve_for_index(self, dots: Sequence[DotMeasurement], index: Tuple) -> scipy.optimize.OptimizeResult:
|
||||
raise NotImplementedError
|
||||
|
||||
def get_model(self) -> Model:
|
||||
raise NotImplementedError
|
||||
|
||||
40
pdme/util/fast_v_calc.py
Normal file
40
pdme/util/fast_v_calc.py
Normal file
@ -0,0 +1,40 @@
|
||||
import numpy
|
||||
import logging
|
||||
|
||||
|
||||
_logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def fast_vs_for_dipoles(dot_inputs: numpy.ndarray, dipoles: numpy.ndarray) -> numpy.ndarray:
|
||||
'''
|
||||
No error correction here baby.
|
||||
'''
|
||||
ps = dipoles[:, 0:3]
|
||||
ss = dipoles[:, 3:6]
|
||||
ws = dipoles[:, 6]
|
||||
|
||||
_logger.debug(f"ps: {ps}")
|
||||
_logger.debug(f"ss: {ss}")
|
||||
_logger.debug(f"ws: {ws}")
|
||||
|
||||
rs = dot_inputs[:, 0:3]
|
||||
fs = dot_inputs[:, 3]
|
||||
|
||||
diffses = rs - ss[:, None]
|
||||
|
||||
_logger.debug(f"diffses: {diffses}")
|
||||
norms = numpy.linalg.norm(diffses, axis=2)**3
|
||||
_logger.debug(f"norms: {norms}")
|
||||
ases = (numpy.einsum('...ji, ...i', diffses, ps) / norms)**2
|
||||
_logger.debug(f"ases: {ases}")
|
||||
|
||||
bses = (1 / numpy.pi) * (ws[:, None] / (fs**2 + ws[:, None]**2))
|
||||
_logger.debug(f"bses: {bses}")
|
||||
return ases * bses
|
||||
|
||||
|
||||
def between(a: numpy.ndarray, low: numpy.ndarray, high: numpy.ndarray) -> numpy.ndarray:
|
||||
'''
|
||||
Intended specifically for the case where a is a list of arrays, and each array must be between the single array low and high, but without error checking.
|
||||
'''
|
||||
return numpy.all(numpy.logical_and(low < a, high > a), axis=1)
|
||||
48
poetry.lock
generated
48
poetry.lock
generated
@ -70,7 +70,7 @@ python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "mypy"
|
||||
version = "0.931"
|
||||
version = "0.940"
|
||||
description = "Optional static typing for Python"
|
||||
category = "dev"
|
||||
optional = false
|
||||
@ -84,6 +84,7 @@ typing-extensions = ">=3.10"
|
||||
[package.extras]
|
||||
dmypy = ["psutil (>=4.0)"]
|
||||
python2 = ["typed-ast (>=1.4.0,<2)"]
|
||||
reports = ["lxml"]
|
||||
|
||||
[[package]]
|
||||
name = "mypy-extensions"
|
||||
@ -234,7 +235,7 @@ python-versions = ">=3.6"
|
||||
[metadata]
|
||||
lock-version = "1.1"
|
||||
python-versions = "^3.8,<3.10"
|
||||
content-hash = "cc51e4e72815a64c0fbf7c49a3bcb6cafcb315020d8530ae9d72b8fee6bddeca"
|
||||
content-hash = "d6435e68d7c0b60d7c288e0e97727c8c81d7c01cef1519d13a1cd96436017002"
|
||||
|
||||
[metadata.files]
|
||||
atomicwrites = [
|
||||
@ -311,26 +312,29 @@ mccabe = [
|
||||
{file = "mccabe-0.6.1.tar.gz", hash = "sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f"},
|
||||
]
|
||||
mypy = [
|
||||
{file = "mypy-0.931-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3c5b42d0815e15518b1f0990cff7a705805961613e701db60387e6fb663fe78a"},
|
||||
{file = "mypy-0.931-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c89702cac5b302f0c5d33b172d2b55b5df2bede3344a2fbed99ff96bddb2cf00"},
|
||||
{file = "mypy-0.931-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:300717a07ad09525401a508ef5d105e6b56646f7942eb92715a1c8d610149714"},
|
||||
{file = "mypy-0.931-cp310-cp310-win_amd64.whl", hash = "sha256:7b3f6f557ba4afc7f2ce6d3215d5db279bcf120b3cfd0add20a5d4f4abdae5bc"},
|
||||
{file = "mypy-0.931-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:1bf752559797c897cdd2c65f7b60c2b6969ffe458417b8d947b8340cc9cec08d"},
|
||||
{file = "mypy-0.931-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4365c60266b95a3f216a3047f1d8e3f895da6c7402e9e1ddfab96393122cc58d"},
|
||||
{file = "mypy-0.931-cp36-cp36m-win_amd64.whl", hash = "sha256:1b65714dc296a7991000b6ee59a35b3f550e0073411ac9d3202f6516621ba66c"},
|
||||
{file = "mypy-0.931-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:e839191b8da5b4e5d805f940537efcaa13ea5dd98418f06dc585d2891d228cf0"},
|
||||
{file = "mypy-0.931-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:50c7346a46dc76a4ed88f3277d4959de8a2bd0a0fa47fa87a4cde36fe247ac05"},
|
||||
{file = "mypy-0.931-cp37-cp37m-win_amd64.whl", hash = "sha256:d8f1ff62f7a879c9fe5917b3f9eb93a79b78aad47b533911b853a757223f72e7"},
|
||||
{file = "mypy-0.931-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f9fe20d0872b26c4bba1c1be02c5340de1019530302cf2dcc85c7f9fc3252ae0"},
|
||||
{file = "mypy-0.931-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1b06268df7eb53a8feea99cbfff77a6e2b205e70bf31743e786678ef87ee8069"},
|
||||
{file = "mypy-0.931-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:8c11003aaeaf7cc2d0f1bc101c1cc9454ec4cc9cb825aef3cafff8a5fdf4c799"},
|
||||
{file = "mypy-0.931-cp38-cp38-win_amd64.whl", hash = "sha256:d9d2b84b2007cea426e327d2483238f040c49405a6bf4074f605f0156c91a47a"},
|
||||
{file = "mypy-0.931-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ff3bf387c14c805ab1388185dd22d6b210824e164d4bb324b195ff34e322d166"},
|
||||
{file = "mypy-0.931-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5b56154f8c09427bae082b32275a21f500b24d93c88d69a5e82f3978018a0266"},
|
||||
{file = "mypy-0.931-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:8ca7f8c4b1584d63c9a0f827c37ba7a47226c19a23a753d52e5b5eddb201afcd"},
|
||||
{file = "mypy-0.931-cp39-cp39-win_amd64.whl", hash = "sha256:74f7eccbfd436abe9c352ad9fb65872cc0f1f0a868e9d9c44db0893440f0c697"},
|
||||
{file = "mypy-0.931-py3-none-any.whl", hash = "sha256:1171f2e0859cfff2d366da2c7092b06130f232c636a3f7301e3feb8b41f6377d"},
|
||||
{file = "mypy-0.931.tar.gz", hash = "sha256:0038b21890867793581e4cb0d810829f5fd4441aa75796b53033af3aa30430ce"},
|
||||
{file = "mypy-0.940-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0fdc9191a49c77ab5fa0439915d405e80a1118b163ab03cd2a530f346b12566a"},
|
||||
{file = "mypy-0.940-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1903c92ff8642d521b4627e51a67e49f5be5aedb1fb03465b3aae4c3338ec491"},
|
||||
{file = "mypy-0.940-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:471af97c35a32061883b0f8a3305ac17947fd42ce962ca9e2b0639eb9141492f"},
|
||||
{file = "mypy-0.940-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:13677cb8b050f03b5bb2e8bf7b2668cd918b001d56c2435082bbfc9d5f730f42"},
|
||||
{file = "mypy-0.940-cp310-cp310-win_amd64.whl", hash = "sha256:2efd76893fb8327eca7e942e21b373e6f3c5c083ff860fb1e82ddd0462d662bd"},
|
||||
{file = "mypy-0.940-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:f8fe1bfab792e4300f80013edaf9949b34e4c056a7b2531b5ef3a0fb9d598ae2"},
|
||||
{file = "mypy-0.940-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2dba92f58610d116f68ec1221fb2de2a346d081d17b24a784624389b17a4b3f9"},
|
||||
{file = "mypy-0.940-cp36-cp36m-win_amd64.whl", hash = "sha256:712affcc456de637e774448c73e21c84dfa5a70bcda34e9b0be4fb898a9e8e07"},
|
||||
{file = "mypy-0.940-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8aaf18d0f8bc3ffba56d32a85971dfbd371a5be5036da41ac16aefec440eff17"},
|
||||
{file = "mypy-0.940-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:51be997c1922e2b7be514a5215d1e1799a40832c0a0dee325ba8794f2c48818f"},
|
||||
{file = "mypy-0.940-cp37-cp37m-win_amd64.whl", hash = "sha256:628f5513268ebbc563750af672ccba5eef7f92d2d90154233edd498dfb98ca4e"},
|
||||
{file = "mypy-0.940-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:68038d514ae59d5b2f326be502a359160158d886bd153fc2489dbf7a03c44c96"},
|
||||
{file = "mypy-0.940-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b2fa5f2d597478ccfe1f274f8da2f50ea1e63da5a7ae2342c5b3b2f3e57ec340"},
|
||||
{file = "mypy-0.940-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b1a116c451b41e35afc09618f454b5c2704ba7a4e36f9ff65014fef26bb6075b"},
|
||||
{file = "mypy-0.940-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1f66f2309cdbb07e95e60e83fb4a8272095bd4ea6ee58bf9a70d5fb304ec3e3f"},
|
||||
{file = "mypy-0.940-cp38-cp38-win_amd64.whl", hash = "sha256:3ac14949677ae9cb1adc498c423b194ad4d25b13322f6fe889fb72b664c79121"},
|
||||
{file = "mypy-0.940-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:6eab2bcc2b9489b7df87d7c20743b66d13254ad4d6430e1dfe1a655d51f0933d"},
|
||||
{file = "mypy-0.940-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0b52778a018559a256c819ee31b2e21e10b31ddca8705624317253d6d08dbc35"},
|
||||
{file = "mypy-0.940-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d9d7647505bf427bc7931e8baf6cacf9be97e78a397724511f20ddec2a850752"},
|
||||
{file = "mypy-0.940-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a0e5657ccaedeb5fdfda59918cc98fc6d8a8e83041bc0cec347a2ab6915f9998"},
|
||||
{file = "mypy-0.940-cp39-cp39-win_amd64.whl", hash = "sha256:83f66190e3c32603217105913fbfe0a3ef154ab6bbc7ef2c989f5b2957b55840"},
|
||||
{file = "mypy-0.940-py3-none-any.whl", hash = "sha256:a168da06eccf51875fdff5f305a47f021f23f300e2b89768abdac24538b1f8ec"},
|
||||
{file = "mypy-0.940.tar.gz", hash = "sha256:71bec3d2782d0b1fecef7b1c436253544d81c1c0e9ca58190aed9befd8f081c5"},
|
||||
]
|
||||
mypy-extensions = [
|
||||
{file = "mypy_extensions-0.4.3-py2.py3-none-any.whl", hash = "sha256:090fedd75945a69ae91ce1303b5824f428daf5a028d2f6ab8a299250a846f15d"},
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
[tool.poetry]
|
||||
name = "pdme"
|
||||
version = "0.5.0"
|
||||
version = "0.5.4"
|
||||
description = "Python dipole model evaluator"
|
||||
authors = ["Deepak <dmallubhotla+github@gmail.com>"]
|
||||
license = "GPL-3.0-only"
|
||||
@ -15,7 +15,7 @@ scipy = "~1.5"
|
||||
pytest = ">=6"
|
||||
flake8 = "^3.8.4"
|
||||
pytest-cov = "^2.10.1"
|
||||
mypy = "^0.931"
|
||||
mypy = "^0.940"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry>=0.12"]
|
||||
|
||||
@ -1,40 +0,0 @@
|
||||
from pdme.model.fixed_z_plane_model import FixedZPlaneModel, FixedZPlaneDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import numpy
|
||||
import multiprocessing
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((0, 0, 2), (1, 2, 4), 1)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = FixedZPlaneModel(4, -10, 10, -10, 10, 1)
|
||||
discretisation = FixedZPlaneDiscretisation(model, 20, 20, 20, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,40 +0,0 @@
|
||||
from pdme.model.fixed_z_plane_model import FixedZPlaneModel, FixedZPlaneDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import numpy
|
||||
import multiprocessing
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((.5, 0, 2), (1, 2, 3), 1)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = FixedZPlaneModel(4, -10, 10, -10, 10, 1)
|
||||
discretisation = FixedZPlaneDiscretisation(model, 20, 20, 20, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((0, 0, 2), (1, 2, 4), 1)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 0, 10, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 6, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((0, 0, 2), (1, 2, 4), 1)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((.5, 0, 2), (1, 2, 3), 1)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((.5, 0, 2), (1, 2, 3), 1)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 0, 10, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 6, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,29 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
set -Eeuo pipefail
|
||||
|
||||
if [ -z "$(git status --porcelain)" ]; then
|
||||
# Working directory clean
|
||||
branch_name=$(git symbolic-ref -q HEAD)
|
||||
branch_name=${branch_name##refs/heads/}
|
||||
branch_name=${branch_name:-HEAD}
|
||||
|
||||
poetry version patch
|
||||
version=`sed 's/version = "\([0-9]*.[0-9]*.[0-9]*\)"/\1/p' -n <pyproject.toml`
|
||||
read -p "Create commit for version $version? " -n 1 -r
|
||||
echo # (optional) move to a new line
|
||||
if [[ $REPLY =~ ^[Yy]$ ]]
|
||||
then
|
||||
# do dangerous stuff
|
||||
echo "Creating a new patch"
|
||||
git add pyproject.toml
|
||||
git commit -m "Created version $version"
|
||||
git tag -a "$version" -m "patch.sh created version $version"
|
||||
git push --tags
|
||||
else
|
||||
echo "Surrendering, clean up by reverting pyproject.toml..."
|
||||
exit 2
|
||||
fi
|
||||
else
|
||||
echo "Can't create patch version, working tree unclean..."
|
||||
exit 1
|
||||
fi
|
||||
45
scripts/release.sh
Normal file
45
scripts/release.sh
Normal file
@ -0,0 +1,45 @@
|
||||
#!/usr/bin/env bash
|
||||
set -Eeuo pipefail
|
||||
|
||||
if [ -z "$(git status --porcelain)" ]; then
|
||||
branch_name=$(git symbolic-ref -q HEAD)
|
||||
branch_name=${branch_name##refs/heads/}
|
||||
branch_name=${branch_name:-HEAD}
|
||||
if [ $branch_name != "master" ]; then
|
||||
echo "The current branch is not master!"
|
||||
echo "I'd feel uncomfortable releasing from here..."
|
||||
exit 3
|
||||
fi
|
||||
|
||||
release_needed=false
|
||||
if \
|
||||
{ git log "$( git describe --tags --abbrev=0 )..HEAD" --format='%s' | cut -d: -f1 | sort -u | sed -e 's/([^)]*)//' | grep -q -i -E '^feat|fix|perf|refactor|revert$' ; } || \
|
||||
{ git log "$( git describe --tags --abbrev=0 )..HEAD" --format='%s' | cut -d: -f1 | sort -u | sed -e 's/([^)]*)//' | grep -q -E '\!$' ; } || \
|
||||
{ git log "$( git describe --tags --abbrev=0 )..HEAD" --format='%b' | grep -q -E '^BREAKING CHANGE:' ; }
|
||||
then
|
||||
release_needed=true
|
||||
fi
|
||||
|
||||
if ! [ "$release_needed" = true ]; then
|
||||
echo "No release needed..."
|
||||
exit 0
|
||||
fi
|
||||
|
||||
# Working directory clean
|
||||
echo "Doing a dry run..."
|
||||
npx standard-version --dry-run
|
||||
read -p "Does that look good? [y/N] " -n 1 -r
|
||||
echo # (optional) move to a new line
|
||||
if [[ $REPLY =~ ^[Yy]$ ]]
|
||||
then
|
||||
# do dangerous stuff
|
||||
npx standard-version
|
||||
git push --follow-tags origin master
|
||||
else
|
||||
echo "okay, never mind then..."
|
||||
exit 2
|
||||
fi
|
||||
else
|
||||
echo "Can't create release, working tree unclean..."
|
||||
exit 1
|
||||
fi
|
||||
11
scripts/standard-version/pyproject-updater.js
Normal file
11
scripts/standard-version/pyproject-updater.js
Normal file
@ -0,0 +1,11 @@
|
||||
const pattern = /(\[tool\.poetry\]\nname = "pdme"\nversion = ")(?<vers>\d+\.\d+\.\d)(")/mg;
|
||||
|
||||
module.exports.readVersion = function (contents) {
|
||||
const result = pattern.exec(contents);
|
||||
return result.groups.vers;
|
||||
}
|
||||
|
||||
module.exports.writeVersion = function (contents, version) {
|
||||
const newContents = contents.replace(pattern, `$1${version}$3`);
|
||||
return newContents;
|
||||
}
|
||||
@ -1,108 +0,0 @@
|
||||
from pdme.model.fixed_dipole_model import FixedDipoleModel, FixedDipoleDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
|
||||
FILENAME = "z-band-fixed-dipole-middle-all-dots-square.csv"
|
||||
csv_fields = ["dipole_mom", "dipole_loc", "dipole_freq", "low_success", "low_count", "medium_success", "medium_count", "high_success", "high_count"]
|
||||
|
||||
|
||||
def get_pt():
|
||||
return ((1, 1, 1), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
for run in range(1, 101):
|
||||
|
||||
p_pts, s_pts = get_pt()
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole(p_pts, s_pts, run)])
|
||||
logging.info(f"gonna work on point {(p_pts, s_pts, run)}")
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = FixedDipoleModel(-10, 10, -10, 10, 2.5, 3.5, numpy.array([1, 1, 1]), 1)
|
||||
discretisation_low = FixedDipoleDiscretisation(model_low, 5, 5, 5)
|
||||
|
||||
model_medium = FixedDipoleModel(-10, 10, -10, 10, 3.5, 4.5, numpy.array([1, 1, 1]), 1)
|
||||
discretisation_medium = FixedDipoleDiscretisation(model_medium, 5, 5, 5)
|
||||
|
||||
model_high = FixedDipoleModel(-10, 10, -10, 10, 4.5, 5.5, numpy.array([1, 1, 1]), 1)
|
||||
discretisation_high = FixedDipoleDiscretisation(model_high, 5, 5, 5)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writerow({
|
||||
"dipole_mom": p_pts,
|
||||
"dipole_loc": s_pts,
|
||||
"dipole_freq": run,
|
||||
"low_success": success_low,
|
||||
"high_success": success_high,
|
||||
"medium_success": success_medium,
|
||||
"low_count": count_low,
|
||||
"medium_count": count_medium,
|
||||
"high_count": count_high
|
||||
})
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,108 +0,0 @@
|
||||
from pdme.model.fixed_dipole_model import FixedDipoleModel, FixedDipoleDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
|
||||
FILENAME = "z-band-fixed-dipole-middle-all-dots-narrower-square.csv"
|
||||
csv_fields = ["dipole_mom", "dipole_loc", "dipole_freq", "low_success", "low_count", "medium_success", "medium_count", "high_success", "high_count"]
|
||||
|
||||
|
||||
def get_pt():
|
||||
return ((1, 1, 1), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
for run in range(1, 101):
|
||||
|
||||
p_pts, s_pts = get_pt()
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole(p_pts, s_pts, run)])
|
||||
logging.info(f"gonna work on point {(p_pts, s_pts, run)}")
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([-.25, .25, 0], f), ([-.25, -.25, 0], f), ([.25, -.25, 0], f), ([.25, .25, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = FixedDipoleModel(-10, 10, -10, 10, 2.5, 3.5, numpy.array([1, 1, 1]), 1)
|
||||
discretisation_low = FixedDipoleDiscretisation(model_low, 5, 5, 5)
|
||||
|
||||
model_medium = FixedDipoleModel(-10, 10, -10, 10, 3.5, 4.5, numpy.array([1, 1, 1]), 1)
|
||||
discretisation_medium = FixedDipoleDiscretisation(model_medium, 5, 5, 5)
|
||||
|
||||
model_high = FixedDipoleModel(-10, 10, -10, 10, 4.5, 5.5, numpy.array([1, 1, 1]), 1)
|
||||
discretisation_high = FixedDipoleDiscretisation(model_high, 5, 5, 5)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writerow({
|
||||
"dipole_mom": p_pts,
|
||||
"dipole_loc": s_pts,
|
||||
"dipole_freq": run,
|
||||
"low_success": success_low,
|
||||
"high_success": success_high,
|
||||
"medium_success": success_medium,
|
||||
"low_count": count_low,
|
||||
"medium_count": count_medium,
|
||||
"high_count": count_high
|
||||
})
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,108 +0,0 @@
|
||||
from pdme.model.fixed_dipole_model import FixedDipoleModel, FixedDipoleDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
|
||||
FILENAME = "z-band-fixed-dipole-middle-all-dots-wide-square.csv"
|
||||
csv_fields = ["dipole_mom", "dipole_loc", "dipole_freq", "low_success", "low_count", "medium_success", "medium_count", "high_success", "high_count"]
|
||||
|
||||
|
||||
def get_pt():
|
||||
return ((1, 1, 1), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
for run in range(1, 101):
|
||||
|
||||
p_pts, s_pts = get_pt()
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole(p_pts, s_pts, run)])
|
||||
logging.info(f"gonna work on point {(p_pts, s_pts, run)}")
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = FixedDipoleModel(-10, 10, -10, 10, 2.5, 3.5, numpy.array([1, 1, 1]), 1)
|
||||
discretisation_low = FixedDipoleDiscretisation(model_low, 5, 5, 5)
|
||||
|
||||
model_medium = FixedDipoleModel(-10, 10, -10, 10, 3.5, 4.5, numpy.array([1, 1, 1]), 1)
|
||||
discretisation_medium = FixedDipoleDiscretisation(model_medium, 5, 5, 5)
|
||||
|
||||
model_high = FixedDipoleModel(-10, 10, -10, 10, 4.5, 5.5, numpy.array([1, 1, 1]), 1)
|
||||
discretisation_high = FixedDipoleDiscretisation(model_high, 5, 5, 5)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writerow({
|
||||
"dipole_mom": p_pts,
|
||||
"dipole_loc": s_pts,
|
||||
"dipole_freq": run,
|
||||
"low_success": success_low,
|
||||
"high_success": success_high,
|
||||
"medium_success": success_medium,
|
||||
"low_count": count_low,
|
||||
"medium_count": count_medium,
|
||||
"high_count": count_high
|
||||
})
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,117 +0,0 @@
|
||||
from pdme.model.fixed_magnitude_model import FixedMagnitudeModel, FixedMagnitudeDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
|
||||
FILENAME = "z-band-fixed-magnitude-middle-all-dots-square.csv"
|
||||
csv_fields = ["dipole_mom", "dipole_loc", "dipole_freq", "low_success", "low_count", "medium_success", "medium_count", "high_success", "high_count"]
|
||||
|
||||
|
||||
def get_uniform_sphere():
|
||||
r = 6
|
||||
a = random.uniform(-10, 10)
|
||||
b = random.uniform(-10, 10)
|
||||
c = random.uniform(-10, 10)
|
||||
f = (a**2 + b**2 + c**2)**.5
|
||||
return (a * r / f, b * r / f, c * r / f)
|
||||
|
||||
|
||||
def get_pt():
|
||||
return (get_uniform_sphere(), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
for run in range(1, 101):
|
||||
|
||||
p_pts, s_pts = get_pt()
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole(p_pts, s_pts, run)])
|
||||
logging.info(f"gonna work on point {(p_pts, s_pts, run)}")
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = FixedMagnitudeModel(-10, 10, -10, 10, 2.5, 3.5, 6, 1)
|
||||
discretisation_low = FixedMagnitudeDiscretisation(model_low, 6, 6, 5, 5, 5)
|
||||
|
||||
model_medium = FixedMagnitudeModel(-10, 10, -10, 10, 3.5, 4.5, 6, 1)
|
||||
discretisation_medium = FixedMagnitudeDiscretisation(model_medium, 6, 6, 5, 5, 5)
|
||||
|
||||
model_high = FixedMagnitudeModel(-10, 10, -10, 10, 4.5, 5.5, 6, 1)
|
||||
discretisation_high = FixedMagnitudeDiscretisation(model_high, 6, 6, 5, 5, 5)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writerow({
|
||||
"dipole_mom": p_pts,
|
||||
"dipole_loc": s_pts,
|
||||
"dipole_freq": run,
|
||||
"low_success": success_low,
|
||||
"high_success": success_high,
|
||||
"medium_success": success_medium,
|
||||
"low_count": count_low,
|
||||
"medium_count": count_medium,
|
||||
"high_count": count_high
|
||||
})
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,117 +0,0 @@
|
||||
from pdme.model.fixed_magnitude_model import FixedMagnitudeModel, FixedMagnitudeDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
|
||||
FILENAME = "z-band-fixed-magnitude-middle-all-dots-narrower-square.csv"
|
||||
csv_fields = ["dipole_mom", "dipole_loc", "dipole_freq", "low_success", "low_count", "medium_success", "medium_count", "high_success", "high_count"]
|
||||
|
||||
|
||||
def get_uniform_sphere():
|
||||
r = 6
|
||||
a = random.uniform(-10, 10)
|
||||
b = random.uniform(-10, 10)
|
||||
c = random.uniform(-10, 10)
|
||||
f = (a**2 + b**2 + c**2)**.5
|
||||
return (a * r / f, b * r / f, c * r / f)
|
||||
|
||||
|
||||
def get_pt():
|
||||
return (get_uniform_sphere(), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
for run in range(1, 101):
|
||||
|
||||
p_pts, s_pts = get_pt()
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole(p_pts, s_pts, run)])
|
||||
logging.info(f"gonna work on point {(p_pts, s_pts, run)}")
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([-.25, .25, 0], f), ([-.25, -.25, 0], f), ([.25, -.25, 0], f), ([.25, .25, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = FixedMagnitudeModel(-10, 10, -10, 10, 2.5, 3.5, 6, 1)
|
||||
discretisation_low = FixedMagnitudeDiscretisation(model_low, 6, 6, 5, 5, 5)
|
||||
|
||||
model_medium = FixedMagnitudeModel(-10, 10, -10, 10, 3.5, 4.5, 6, 1)
|
||||
discretisation_medium = FixedMagnitudeDiscretisation(model_medium, 6, 6, 5, 5, 5)
|
||||
|
||||
model_high = FixedMagnitudeModel(-10, 10, -10, 10, 4.5, 5.5, 6, 1)
|
||||
discretisation_high = FixedMagnitudeDiscretisation(model_high, 6, 6, 5, 5, 5)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writerow({
|
||||
"dipole_mom": p_pts,
|
||||
"dipole_loc": s_pts,
|
||||
"dipole_freq": run,
|
||||
"low_success": success_low,
|
||||
"high_success": success_high,
|
||||
"medium_success": success_medium,
|
||||
"low_count": count_low,
|
||||
"medium_count": count_medium,
|
||||
"high_count": count_high
|
||||
})
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,117 +0,0 @@
|
||||
from pdme.model.fixed_magnitude_model import FixedMagnitudeModel, FixedMagnitudeDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
|
||||
FILENAME = "z-band-fixed-magnitude-middle-all-dots-wide-square.csv"
|
||||
csv_fields = ["dipole_mom", "dipole_loc", "dipole_freq", "low_success", "low_count", "medium_success", "medium_count", "high_success", "high_count"]
|
||||
|
||||
|
||||
def get_uniform_sphere():
|
||||
r = 6
|
||||
a = random.uniform(-10, 10)
|
||||
b = random.uniform(-10, 10)
|
||||
c = random.uniform(-10, 10)
|
||||
f = (a**2 + b**2 + c**2)**.5
|
||||
return (a * r / f, b * r / f, c * r / f)
|
||||
|
||||
|
||||
def get_pt():
|
||||
return (get_uniform_sphere(), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
for run in range(1, 101):
|
||||
|
||||
p_pts, s_pts = get_pt()
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole(p_pts, s_pts, run)])
|
||||
logging.info(f"gonna work on point {(p_pts, s_pts, run)}")
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([-2, 2, 0], f), ([-2, -2, 0], f), ([2, -2, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = FixedMagnitudeModel(-10, 10, -10, 10, 2.5, 3.5, 6, 1)
|
||||
discretisation_low = FixedMagnitudeDiscretisation(model_low, 6, 6, 5, 5, 5)
|
||||
|
||||
model_medium = FixedMagnitudeModel(-10, 10, -10, 10, 3.5, 4.5, 6, 1)
|
||||
discretisation_medium = FixedMagnitudeDiscretisation(model_medium, 6, 6, 5, 5, 5)
|
||||
|
||||
model_high = FixedMagnitudeModel(-10, 10, -10, 10, 4.5, 5.5, 6, 1)
|
||||
discretisation_high = FixedMagnitudeDiscretisation(model_high, 6, 6, 5, 5, 5)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writerow({
|
||||
"dipole_mom": p_pts,
|
||||
"dipole_loc": s_pts,
|
||||
"dipole_freq": run,
|
||||
"low_success": success_low,
|
||||
"high_success": success_high,
|
||||
"medium_success": success_medium,
|
||||
"low_count": count_low,
|
||||
"medium_count": count_medium,
|
||||
"high_count": count_high
|
||||
})
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,117 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
|
||||
FILENAME = "z-band-middle-all-dots-square.csv"
|
||||
csv_fields = ["dipole_mom", "dipole_loc", "dipole_freq", "low_success", "low_count", "medium_success", "medium_count", "high_success", "high_count"]
|
||||
|
||||
|
||||
def get_uniform_sphere():
|
||||
r = random.random()**.3333 * 10
|
||||
a = random.uniform(-10, 10)
|
||||
b = random.uniform(-10, 10)
|
||||
c = random.uniform(-10, 10)
|
||||
f = (a**2 + b**2 + c**2)**.5
|
||||
return (a * r / f, b * r / f, c * r / f)
|
||||
|
||||
|
||||
def get_pt():
|
||||
return (get_uniform_sphere(), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
for run in range(1, 101):
|
||||
|
||||
p_pts, s_pts = get_pt()
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole(p_pts, s_pts, run)])
|
||||
logging.info(f"gonna work on point {(p_pts, s_pts, run)}")
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation_low = UnrestrictedDiscretisation(model_low, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_medium = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation_medium = UnrestrictedDiscretisation(model_medium, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_high = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation_high = UnrestrictedDiscretisation(model_high, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writerow({
|
||||
"dipole_mom": p_pts,
|
||||
"dipole_loc": s_pts,
|
||||
"dipole_freq": run,
|
||||
"low_success": success_low,
|
||||
"high_success": success_high,
|
||||
"medium_success": success_medium,
|
||||
"low_count": count_low,
|
||||
"medium_count": count_medium,
|
||||
"high_count": count_high
|
||||
})
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,156 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
FILENAME = "z-band-middle-all-dots-narrowsquare-diagnosis1-bad.csv"
|
||||
csv_fields = ["model", "index_px", "index_py", "index_pz", "index_sx", "index_sy", "index_sz", "bounds_px", "bounds_py", "bounds_pz", "bounds_sx", "bounds_sy", "bounds_sz", "actual_dipole_moment", "actual_dipole_position", "actual_dipole_freq", "success", "found_dipole_moment", "found_dipole_position", "found_dipole_frequency"]
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
bad_dipole_moment = (1.4907798255452713, -0.11155216212225307, 8.598957203397196)
|
||||
bad_dipole_position = (-1.8204699606457453, 0.46178206204345074, 3.8691572159777703)
|
||||
bad_dipole_freq = 31
|
||||
|
||||
# good_dipole_moment = (-1.9443892410744588, -6.221537995677158, 5.592388480581515)
|
||||
# good_dipole_position = (1.8087672324818271, -5.012714179961428, 4.171331614506319)
|
||||
# good_dipole_freq = 22
|
||||
#
|
||||
# good_dipoles = OscillatingDipoleArrangement([OscillatingDipole(good_dipole_moment, good_dipole_position, good_dipole_freq)])
|
||||
bad_dipoles = OscillatingDipoleArrangement([OscillatingDipole(bad_dipole_moment, bad_dipole_position, bad_dipole_freq)])
|
||||
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([-.25, .25, 0], f), ([-.25, -.25, 0], f), ([.25, -.25, 0], f), ([.25, .25, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
|
||||
bad_dots = bad_dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation_low = UnrestrictedDiscretisation(model_low, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_medium = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation_medium = UnrestrictedDiscretisation(model_medium, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_high = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation_high = UnrestrictedDiscretisation(model_high, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(bad_dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(bad_dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(bad_dots), discretisation_high.all_indices()))
|
||||
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
|
||||
for idx, result in results_low:
|
||||
pxi, pyi, pzi, sxi, syi, szi = idx
|
||||
|
||||
bounds = discretisation_low.bounds(idx)
|
||||
|
||||
actual_success = result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10
|
||||
|
||||
writer.writerow({
|
||||
"model": "low",
|
||||
"index_px": pxi,
|
||||
"index_py": pyi,
|
||||
"index_pz": pzi,
|
||||
"index_sx": sxi,
|
||||
"index_sy": syi,
|
||||
"index_sz": szi,
|
||||
"bounds_px": (bounds[0][0], bounds[1][0]),
|
||||
"bounds_py": (bounds[0][1], bounds[1][1]),
|
||||
"bounds_pz": (bounds[0][2], bounds[1][2]),
|
||||
"bounds_sx": (bounds[0][3], bounds[1][3]),
|
||||
"bounds_sy": (bounds[0][4], bounds[1][4]),
|
||||
"bounds_sz": (bounds[0][5], bounds[1][5]),
|
||||
"actual_dipole_moment": bad_dipole_moment,
|
||||
"actual_dipole_position": bad_dipole_position,
|
||||
"actual_dipole_freq": bad_dipole_freq,
|
||||
"success": actual_success,
|
||||
"found_dipole_moment": result.normalised_x[0:3] if actual_success else None,
|
||||
"found_dipole_position": result.normalised_x[3:6] if actual_success else None,
|
||||
"found_dipole_frequency": result.normalised_x[6] if actual_success else None
|
||||
})
|
||||
|
||||
for idx, result in results_medium:
|
||||
pxi, pyi, pzi, sxi, syi, szi = idx
|
||||
|
||||
bounds = discretisation_medium.bounds(idx)
|
||||
|
||||
actual_success = result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10
|
||||
|
||||
writer.writerow({
|
||||
"model": "medium",
|
||||
"index_px": pxi,
|
||||
"index_py": pyi,
|
||||
"index_pz": pzi,
|
||||
"index_sx": sxi,
|
||||
"index_sy": syi,
|
||||
"index_sz": szi,
|
||||
"bounds_px": (bounds[0][0], bounds[1][0]),
|
||||
"bounds_py": (bounds[0][1], bounds[1][1]),
|
||||
"bounds_pz": (bounds[0][2], bounds[1][2]),
|
||||
"bounds_sx": (bounds[0][3], bounds[1][3]),
|
||||
"bounds_sy": (bounds[0][4], bounds[1][4]),
|
||||
"bounds_sz": (bounds[0][5], bounds[1][5]),
|
||||
"actual_dipole_moment": bad_dipole_moment,
|
||||
"actual_dipole_position": bad_dipole_position,
|
||||
"actual_dipole_freq": bad_dipole_freq,
|
||||
"success": actual_success,
|
||||
"found_dipole_moment": result.normalised_x[0:3] if actual_success else None,
|
||||
"found_dipole_position": result.normalised_x[3:6] if actual_success else None,
|
||||
"found_dipole_frequency": result.normalised_x[6] if actual_success else None
|
||||
})
|
||||
|
||||
for idx, result in results_high:
|
||||
pxi, pyi, pzi, sxi, syi, szi = idx
|
||||
|
||||
bounds = discretisation_high.bounds(idx)
|
||||
|
||||
actual_success = result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10
|
||||
|
||||
writer.writerow({
|
||||
"model": "high",
|
||||
"index_px": pxi,
|
||||
"index_py": pyi,
|
||||
"index_pz": pzi,
|
||||
"index_sx": sxi,
|
||||
"index_sy": syi,
|
||||
"index_sz": szi,
|
||||
"bounds_px": (bounds[0][0], bounds[1][0]),
|
||||
"bounds_py": (bounds[0][1], bounds[1][1]),
|
||||
"bounds_pz": (bounds[0][2], bounds[1][2]),
|
||||
"bounds_sx": (bounds[0][3], bounds[1][3]),
|
||||
"bounds_sy": (bounds[0][4], bounds[1][4]),
|
||||
"bounds_sz": (bounds[0][5], bounds[1][5]),
|
||||
"actual_dipole_moment": bad_dipole_moment,
|
||||
"actual_dipole_position": bad_dipole_position,
|
||||
"actual_dipole_freq": bad_dipole_freq,
|
||||
"success": actual_success,
|
||||
"found_dipole_moment": result.normalised_x[0:3] if actual_success else None,
|
||||
"found_dipole_position": result.normalised_x[3:6] if actual_success else None,
|
||||
"found_dipole_frequency": result.normalised_x[6] if actual_success else None
|
||||
})
|
||||
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,156 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
FILENAME = "z-band-middle-all-dots-narrowsquare-diagnosis1-good.csv"
|
||||
csv_fields = ["model", "index_px", "index_py", "index_pz", "index_sx", "index_sy", "index_sz", "bounds_px", "bounds_py", "bounds_pz", "bounds_sx", "bounds_sy", "bounds_sz", "actual_dipole_moment", "actual_dipole_position", "actual_dipole_freq", "success", "found_dipole_moment", "found_dipole_position", "found_dipole_frequency"]
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
# bad_dipole_moment = (1.4907798255452713, -0.11155216212225307, 8.598957203397196)
|
||||
# bad_dipole_position = (-1.8204699606457453, 0.46178206204345074, 3.8691572159777703)
|
||||
# bad_dipole_freq = 31
|
||||
|
||||
good_dipole_moment = (-1.9443892410744588, -6.221537995677158, 5.592388480581515)
|
||||
good_dipole_position = (1.8087672324818271, -5.012714179961428, 4.171331614506319)
|
||||
good_dipole_freq = 22
|
||||
|
||||
good_dipoles = OscillatingDipoleArrangement([OscillatingDipole(good_dipole_moment, good_dipole_position, good_dipole_freq)])
|
||||
# bad_dipoles = OscillatingDipoleArrangement([OscillatingDipole(bad_dipole_moment, bad_dipole_position, bad_dipole_freq)])
|
||||
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([-.25, .25, 0], f), ([-.25, -.25, 0], f), ([.25, -.25, 0], f), ([.25, .25, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
|
||||
good_dots = good_dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation_low = UnrestrictedDiscretisation(model_low, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_medium = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation_medium = UnrestrictedDiscretisation(model_medium, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_high = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation_high = UnrestrictedDiscretisation(model_high, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(good_dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(good_dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(good_dots), discretisation_high.all_indices()))
|
||||
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
|
||||
for idx, result in results_low:
|
||||
pxi, pyi, pzi, sxi, syi, szi = idx
|
||||
|
||||
bounds = discretisation_low.bounds(idx)
|
||||
|
||||
actual_success = result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10
|
||||
|
||||
writer.writerow({
|
||||
"model": "low",
|
||||
"index_px": pxi,
|
||||
"index_py": pyi,
|
||||
"index_pz": pzi,
|
||||
"index_sx": sxi,
|
||||
"index_sy": syi,
|
||||
"index_sz": szi,
|
||||
"bounds_px": (bounds[0][0], bounds[1][0]),
|
||||
"bounds_py": (bounds[0][1], bounds[1][1]),
|
||||
"bounds_pz": (bounds[0][2], bounds[1][2]),
|
||||
"bounds_sx": (bounds[0][3], bounds[1][3]),
|
||||
"bounds_sy": (bounds[0][4], bounds[1][4]),
|
||||
"bounds_sz": (bounds[0][5], bounds[1][5]),
|
||||
"actual_dipole_moment": good_dipole_moment,
|
||||
"actual_dipole_position": good_dipole_position,
|
||||
"actual_dipole_freq": good_dipole_freq,
|
||||
"success": actual_success,
|
||||
"found_dipole_moment": result.normalised_x[0:3] if actual_success else None,
|
||||
"found_dipole_position": result.normalised_x[3:6] if actual_success else None,
|
||||
"found_dipole_frequency": result.normalised_x[6] if actual_success else None
|
||||
})
|
||||
|
||||
for idx, result in results_medium:
|
||||
pxi, pyi, pzi, sxi, syi, szi = idx
|
||||
|
||||
bounds = discretisation_medium.bounds(idx)
|
||||
|
||||
actual_success = result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10
|
||||
|
||||
writer.writerow({
|
||||
"model": "medium",
|
||||
"index_px": pxi,
|
||||
"index_py": pyi,
|
||||
"index_pz": pzi,
|
||||
"index_sx": sxi,
|
||||
"index_sy": syi,
|
||||
"index_sz": szi,
|
||||
"bounds_px": (bounds[0][0], bounds[1][0]),
|
||||
"bounds_py": (bounds[0][1], bounds[1][1]),
|
||||
"bounds_pz": (bounds[0][2], bounds[1][2]),
|
||||
"bounds_sx": (bounds[0][3], bounds[1][3]),
|
||||
"bounds_sy": (bounds[0][4], bounds[1][4]),
|
||||
"bounds_sz": (bounds[0][5], bounds[1][5]),
|
||||
"actual_dipole_moment": good_dipole_moment,
|
||||
"actual_dipole_position": good_dipole_position,
|
||||
"actual_dipole_freq": good_dipole_freq,
|
||||
"success": actual_success,
|
||||
"found_dipole_moment": result.normalised_x[0:3] if actual_success else None,
|
||||
"found_dipole_position": result.normalised_x[3:6] if actual_success else None,
|
||||
"found_dipole_frequency": result.normalised_x[6] if actual_success else None
|
||||
})
|
||||
|
||||
for idx, result in results_high:
|
||||
pxi, pyi, pzi, sxi, syi, szi = idx
|
||||
|
||||
bounds = discretisation_high.bounds(idx)
|
||||
|
||||
actual_success = result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10
|
||||
|
||||
writer.writerow({
|
||||
"model": "high",
|
||||
"index_px": pxi,
|
||||
"index_py": pyi,
|
||||
"index_pz": pzi,
|
||||
"index_sx": sxi,
|
||||
"index_sy": syi,
|
||||
"index_sz": szi,
|
||||
"bounds_px": (bounds[0][0], bounds[1][0]),
|
||||
"bounds_py": (bounds[0][1], bounds[1][1]),
|
||||
"bounds_pz": (bounds[0][2], bounds[1][2]),
|
||||
"bounds_sx": (bounds[0][3], bounds[1][3]),
|
||||
"bounds_sy": (bounds[0][4], bounds[1][4]),
|
||||
"bounds_sz": (bounds[0][5], bounds[1][5]),
|
||||
"actual_dipole_moment": good_dipole_moment,
|
||||
"actual_dipole_position": good_dipole_position,
|
||||
"actual_dipole_freq": good_dipole_freq,
|
||||
"success": actual_success,
|
||||
"found_dipole_moment": result.normalised_x[0:3] if actual_success else None,
|
||||
"found_dipole_position": result.normalised_x[3:6] if actual_success else None,
|
||||
"found_dipole_frequency": result.normalised_x[6] if actual_success else None
|
||||
})
|
||||
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,21 +0,0 @@
|
||||
import random
|
||||
import logging
|
||||
|
||||
def get_uniform_sphere():
|
||||
r = random.random()**.3333 * 10
|
||||
a = random.uniform(-10, 10)
|
||||
b = random.uniform(-10, 10)
|
||||
c = random.uniform(-10, 10)
|
||||
f = (a**2 + b**2 + c**2)**.5
|
||||
return (a * r / f, b * r / f, c * r / f)
|
||||
|
||||
|
||||
def get_pt():
|
||||
return (get_uniform_sphere(), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
def main():
|
||||
logging.info(get_pt())
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,117 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
|
||||
FILENAME = "z-band-middle-all-dots-narrowsquare.csv"
|
||||
csv_fields = ["dipole_mom", "dipole_loc", "dipole_freq", "low_success", "low_count", "medium_success", "medium_count", "high_success", "high_count"]
|
||||
|
||||
|
||||
def get_uniform_sphere():
|
||||
r = random.random()**.3333 * 10
|
||||
a = random.uniform(-10, 10)
|
||||
b = random.uniform(-10, 10)
|
||||
c = random.uniform(-10, 10)
|
||||
f = (a**2 + b**2 + c**2)**.5
|
||||
return (a * r / f, b * r / f, c * r / f)
|
||||
|
||||
|
||||
def get_pt():
|
||||
return (get_uniform_sphere(), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
for run in range(1, 501):
|
||||
|
||||
p_pts, s_pts = get_pt()
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole(p_pts, s_pts, run)])
|
||||
logging.info(f"gonna work on point {(p_pts, s_pts, run)}")
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([-.25, .25, 0], f), ([-.25, -.25, 0], f), ([.25, -.25, 0], f), ([.25, .25, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation_low = UnrestrictedDiscretisation(model_low, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_medium = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation_medium = UnrestrictedDiscretisation(model_medium, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_high = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation_high = UnrestrictedDiscretisation(model_high, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writerow({
|
||||
"dipole_mom": p_pts,
|
||||
"dipole_loc": s_pts,
|
||||
"dipole_freq": run,
|
||||
"low_success": success_low,
|
||||
"high_success": success_high,
|
||||
"medium_success": success_medium,
|
||||
"low_count": count_low,
|
||||
"medium_count": count_medium,
|
||||
"high_count": count_high
|
||||
})
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,117 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
import csv
|
||||
import random
|
||||
|
||||
|
||||
FILENAME = "z-band-middle-all-dots-widesquare-morepts.csv"
|
||||
csv_fields = ["dipole_mom", "dipole_loc", "dipole_freq", "low_success", "low_count", "medium_success", "medium_count", "high_success", "high_count"]
|
||||
|
||||
|
||||
def get_uniform_sphere():
|
||||
r = random.random()**.3333 * 10
|
||||
a = random.uniform(-10, 10)
|
||||
b = random.uniform(-10, 10)
|
||||
c = random.uniform(-10, 10)
|
||||
f = (a**2 + b**2 + c**2)**.5
|
||||
return (a * r / f, b * r / f, c * r / f)
|
||||
|
||||
|
||||
def get_pt():
|
||||
return (get_uniform_sphere(), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
with open(FILENAME, "a", newline="") as outfile:
|
||||
# csv fields
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writeheader()
|
||||
|
||||
for run in range(1, 501):
|
||||
|
||||
p_pts, s_pts = get_pt()
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole(p_pts, s_pts, run)])
|
||||
logging.info(f"gonna work on point {(p_pts, s_pts, run)}")
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([-2, 2, 0], f), ([-2, -2, 0], f), ([2, -2, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation_low = UnrestrictedDiscretisation(model_low, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_medium = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation_medium = UnrestrictedDiscretisation(model_medium, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_high = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation_high = UnrestrictedDiscretisation(model_high, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
with open(FILENAME, "a", newline='') as outfile:
|
||||
writer = csv.DictWriter(outfile, fieldnames=csv_fields, dialect='unix')
|
||||
writer.writerow({
|
||||
"dipole_mom": p_pts,
|
||||
"dipole_loc": s_pts,
|
||||
"dipole_freq": run,
|
||||
"low_success": success_low,
|
||||
"high_success": success_high,
|
||||
"medium_success": success_medium,
|
||||
"low_count": count_low,
|
||||
"medium_count": count_medium,
|
||||
"high_count": count_high
|
||||
})
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,73 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((5.389527566844908, 4.997072803674042, -4.762077256152248), (3.2605114165938183, -3.886070609159507, 3.842556916841345), 10)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation_low = UnrestrictedDiscretisation(model_low, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_medium = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation_medium = UnrestrictedDiscretisation(model_medium, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_high = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation_high = UnrestrictedDiscretisation(model_high, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((6.447362719052435, 4.477945136993354, 0.0339972811954361), (8.136525654773184, -2.566632803268325, 4.386070127058503), 2)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((6.447362719052435, 4.477945136993354, 0.0339972811954361), (8.136525654773184, -2.566632803268325, 4.386070127058503), 2)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((6.447362719052435, 4.477945136993354, 0.0339972811954361), (8.136525654773184, -2.566632803268325, 4.386070127058503), 2)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-9.633241437342807, 7.419566823285379, 6.684101045036112), ( 3.3127514493893315, -0.4771975428520232, 3.5561989108656054), 5)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-9.633241437342807, 7.419566823285379, 6.684101045036112), ( 3.3127514493893315, -0.4771975428520232, 3.5561989108656054), 5)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-9.633241437342807, 7.419566823285379, 6.684101045036112), ( 3.3127514493893315, -0.4771975428520232, 3.5561989108656054), 5)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-6.9343985214646615, -5.204225242506066, -3.8719674540321902), (2.7488105647460674, -0.12340234473323619, 3.6808857954745746), 4)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-6.9343985214646615, -5.204225242506066, -3.8719674540321902), (2.7488105647460674, -0.12340234473323619, 3.6808857954745746), 4)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-6.9343985214646615, -5.204225242506066, -3.8719674540321902), (2.7488105647460674, -0.12340234473323619, 3.6808857954745746), 4)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-7.098352129713321, -4.234283347573212, 5.518928882030382), (1.2260191021210538, -7.338410702914777, 3.83415931272648), 5)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-7.098352129713321, -4.234283347573212, 5.518928882030382), (1.2260191021210538, -7.338410702914777, 3.83415931272648), 5)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-7.098352129713321, -4.234283347573212, 5.518928882030382), (1.2260191021210538, -7.338410702914777, 3.83415931272648), 5)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-0.184772459487974, -5.408149759441951, 7.1877726347903454), (-4.629467853322026, -5.4309905972000045, 3.566486068367097), 6)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-0.184772459487974, -5.408149759441951, 7.1877726347903454), (-4.629467853322026, -5.4309905972000045, 3.566486068367097), 6)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((-0.184772459487974, -5.408149759441951, 7.1877726347903454), (-4.629467853322026, -5.4309905972000045, 3.566486068367097), 6)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,73 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((3.2068945146892367, 2.3350748525972542, -4.184019701963916), (7.442850970594279, 0.2756215916565079, 4.254556180048695), 8)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation_low = UnrestrictedDiscretisation(model_low, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_medium = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation_medium = UnrestrictedDiscretisation(model_medium, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_high = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation_high = UnrestrictedDiscretisation(model_high, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,73 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((0.9602915510740146, -4.026029745743671, -9.049015619049385), (8.414994532717355, -4.618786432010118, 4.124722380672804), 7)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation_low = UnrestrictedDiscretisation(model_low, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_medium = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation_medium = UnrestrictedDiscretisation(model_medium, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_high = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation_high = UnrestrictedDiscretisation(model_high, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,73 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((0.4767791692005509, -1.6250821005525826, 1.098272356895314), (8.619479980282332, -0.43106193700215734, 4.249421193225715), 9)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model_low = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation_low = UnrestrictedDiscretisation(model_low, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_medium = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation_medium = UnrestrictedDiscretisation(model_medium, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
model_high = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation_high = UnrestrictedDiscretisation(model_high, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_low = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_low), itertools.repeat(dots), discretisation_low.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_medium = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_medium), itertools.repeat(dots), discretisation_medium.all_indices()))
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results_high = pool.starmap(get_a_result, zip(itertools.repeat(discretisation_high), itertools.repeat(dots), discretisation_high.all_indices()))
|
||||
|
||||
count_low = 0
|
||||
success_low = 0
|
||||
for idx, result in results_low:
|
||||
count_low += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_low += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_medium = 0
|
||||
success_medium = 0
|
||||
for idx, result in results_medium:
|
||||
count_medium += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_medium += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
count_high = 0
|
||||
success_high = 0
|
||||
for idx, result in results_high:
|
||||
count_high += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success_high += 1
|
||||
else:
|
||||
answer = None
|
||||
|
||||
logging.info(f"Low : Out of {count_low} cells, {success_low} were successful")
|
||||
logging.info(f"Medium: Out of {count_medium} cells, {success_medium} were successful")
|
||||
logging.info(f"High : Out of {count_high} cells, {success_high} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,21 +0,0 @@
|
||||
import random
|
||||
import logging
|
||||
|
||||
def get_uniform_sphere():
|
||||
r = random.random()**.3333 * 10
|
||||
a = random.uniform(-10, 10)
|
||||
b = random.uniform(-10, 10)
|
||||
c = random.uniform(-10, 10)
|
||||
f = (a**2 + b**2 + c**2)**.5
|
||||
return (a * r / f, b * r / f, c * r / f)
|
||||
|
||||
|
||||
def get_pt():
|
||||
return (get_uniform_sphere(), (random.uniform(-10, 10), random.uniform(-10, 10), random.uniform(3.5, 4.5)))
|
||||
|
||||
def main():
|
||||
logging.info(get_pt())
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((0, 0, 2), (1, 2, 4), 1)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 4.5, 5.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((0, 0, 2), (1, 2, 4), 1)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 2.5, 3.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
@ -1,41 +0,0 @@
|
||||
from pdme.model.unrestricted_model import UnrestrictedModel, UnrestrictedDiscretisation
|
||||
from pdme.measurement import OscillatingDipole, OscillatingDipoleArrangement
|
||||
import itertools
|
||||
import logging
|
||||
import multiprocessing
|
||||
import numpy
|
||||
|
||||
|
||||
def get_a_result(discretisation, dots, index):
|
||||
return (index, discretisation.solve_for_index(dots, index))
|
||||
|
||||
def main():
|
||||
dipoles = OscillatingDipoleArrangement([OscillatingDipole((0, 0, 2), (1, 2, 4), 1)])
|
||||
dot_inputs = list(itertools.chain.from_iterable(
|
||||
(([1, 2, 0], f), ([1, 1, 0], f), ([2, 1, 0], f), ([2, 2, 0], f)) for f in numpy.arange(1, 10, 2)
|
||||
))
|
||||
dots = dipoles.get_dot_measurements(dot_inputs)
|
||||
|
||||
model = UnrestrictedModel(-10, 10, -10, 10, 3.5, 4.5, 1)
|
||||
discretisation = UnrestrictedDiscretisation(model, 6, 6, 3, 5, 5, 5, 10)
|
||||
|
||||
with multiprocessing.Pool(multiprocessing.cpu_count()-1 or 1) as pool:
|
||||
results = pool.starmap(get_a_result, zip(itertools.repeat(discretisation), itertools.repeat(dots), discretisation.all_indices()))
|
||||
|
||||
count = 0
|
||||
success = 0
|
||||
for idx, result in results:
|
||||
count += 1
|
||||
if result.success and result.cost <= 1e-10 and numpy.linalg.norm(result.x[0:3]) < 10:
|
||||
answer = result.normalised_x
|
||||
success += 1
|
||||
else:
|
||||
answer = None
|
||||
logging.debug(f"{idx} : {discretisation.bounds(idx)}")
|
||||
logging.debug(f"{idx} : {answer}\n")
|
||||
logging.info(len(results))
|
||||
logging.info(f"Out of {count} cells, {success} were successful")
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
main()
|
||||
334
temp.csv
334
temp.csv
@ -1,334 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"(-6.16839537956168, -6.18034685302644, 0.45065887606157184)","(-3.73879622353952, 3.371499240013044, 4.1362326261982645)","1","154","13500","174","13500","141","13500"
|
||||
"(6.174667043556438, 6.336202980594002, 2.4958220347329623)","(-8.148859083510967, 3.6968131093195353, 3.7702726234713078)","2","719","13500","747","13500","724","13500"
|
||||
"(3.608956372981022, -2.0951988991900077, -0.29421992676982156)","(3.573650082677384, -9.368498412102449, 4.46864529948172)","3","600","13500","674","13500","792","13500"
|
||||
"(5.082322693160297, -3.7982625668861587, -5.529377336641543)","(-2.2936623215085072, -6.239557703119452, 3.9482460970876017)","4","776","13500","611","13500","458","13500"
|
||||
"(8.409995998700815, -3.2224394558538725, -0.4327015578525425)","(-0.081531901811287, -0.5041132949873877, 4.121705478826287)","5","68","13500","48","13500","0","13500"
|
||||
"(3.2487256809913414, 2.0956177477119664, 3.055911236386847)","(-8.774289727975598, -3.95159042580691, 4.274447404072161)","6","682","13500","794","13500","1006","13500"
|
||||
"(1.6803517653056426, 5.004816849346787, -2.5453624256732663)","(0.24019628199513754, 9.352393431383653, 3.5411114005007343)","7","488","13500","569","13500","538","13500"
|
||||
"(-5.3631643483435925, -7.392714848183142, -0.35345841926220234)","(-8.55126342036379, -5.277948483201045, 3.544409893485965)","8","386","13500","349","13500","384","13500"
|
||||
"(-2.088041340867869, -1.417158200235787, -8.611496316364478)","(-6.230585021981636, -8.161150785514625, 4.229834430803789)","9","970","13500","1058","13500","1068","13500"
|
||||
"(1.9621473273796497, 2.5349620919141334, 3.341103068928371)","(-0.9134806790737926, -4.3291668398816485, 4.392061300761365)","10","548","13500","530","13500","316","13500"
|
||||
"(-1.6322513926669313, -1.0847514333253572, -9.288258270896861)","(-8.448895118069297, 5.732398768239946, 4.213759032569264)","11","842","13500","881","13500","902","13500"
|
||||
"(3.9481297719943638, 4.507810776715989, -5.709918951334119)","(-4.1315207286021245, 9.170651848195138, 4.441047450511733)","12","7692","13500","7616","13500","7741","13500"
|
||||
"(6.369749097200515, -6.978053871587953, 0.4955446250532843)","(-6.239966859100619, 8.423719070951016, 4.2820375417276635)","13","336","13500","416","13500","496","13500"
|
||||
"(3.196731644049891, 4.298110174247948, 6.115139818740193)","(8.755512984757075, 3.29622966664574, 3.809217881300216)","14","328","13500","305","13500","272","13500"
|
||||
"(-1.7761249032812005, 6.94680873682224, -0.8585495821127017)","(-3.9472654101927613, 1.3657338898850675, 3.648963992377148)","15","252","13500","206","13500","88","13500"
|
||||
"(-1.951230216244639, -9.1812215776026, -2.6482034312090104)","(9.26053760101319, -1.7925555221277616, 4.446180364967014)","16","808","13500","804","13500","720","13500"
|
||||
"(-7.373793882449, 4.641080906868707, -4.065664647502973)","(1.359292030451364, 2.6076146812770773, 4.077208092443877)","17","230","13500","125","13500","62","13500"
|
||||
"(4.99666337182169, -4.24706596552135, -6.48086516774026)","(-7.79046143844579, -9.238914044181318, 4.123324076664045)","18","932","13500","948","13500","1074","13500"
|
||||
"(1.3118180219979787, 7.882624311829391, -1.4113523986813743)","(-7.453090521787063, -2.6911428138874083, 3.5764874973745453)","19","358","13500","342","13500","330","13500"
|
||||
"(-3.9156627126021823, 3.652991774629386, -1.9620621102293458)","(-6.722240407200426, -8.64966445122025, 4.4022558010603845)","20","7257","13500","7359","13500","7280","13500"
|
||||
"(-2.5778287153467607, -4.3502613369287015, 5.854048768560913)","(-7.359360429044108, 1.3532276629995366, 4.346230679700137)","21","496","13500","534","13500","400","13500"
|
||||
"(-5.206369872326459, -6.862294652251791, 1.8329467929417802)","(8.158983191490407, -5.797619127417697, 3.5768271334601334)","22","862","13500","980","13500","1060","13500"
|
||||
"(-5.0117372804933815, -7.0423030129922015, -4.725774627569535)","(-1.9099901351358142, 4.07062194106569, 3.7991304425931878)","23","164","13500","20","13500","0","13500"
|
||||
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|
||||
"(2.421958440064514, 1.6672979134263086, -1.8153007664693592)","(5.237887040490747, -8.300944331126338, 3.528071987099308)","293","7134","13500","7129","13500","7179","13500"
|
||||
"(-4.788897109344085, 3.2627560530954227, -2.220253056365446)","(7.937712328048313, -2.97650531959275, 3.9750024741472245)","294","796","13500","848","13500","946","13500"
|
||||
"(3.9426012615578254, 3.5305142037090893, 4.547093302231958)","(6.461750877881361, 6.422747215859673, 4.4729037676920065)","295","824","13500","915","13500","974","13500"
|
||||
"(-4.169198002913327, -3.39012748825277, -3.0488858916124313)","(4.655269412612345, -0.25007362718008075, 3.9980658823760606)","296","637","13500","632","13500","538","13500"
|
||||
"(-3.2125612392705873, 2.4772505193734218, 6.839459490315659)","(-1.980891778838842, 7.869062544792072, 4.460066214956658)","297","829","13500","932","13500","999","13500"
|
||||
"(3.9062781090771796, -2.4977593678603665, -6.816860160148891)","(-5.71675639969367, 4.493178100119938, 3.9610924656429294)","298","658","13500","656","13500","570","13500"
|
||||
"(5.510059248561131, 5.295093495028599, 4.346854179624615)","(-2.0040353439477343, -3.8674122805228954, 3.8873928922832137)","299","764","13500","786","13500","947","13500"
|
||||
"(-1.778801426767778, -8.234285230388869, 3.133343671467703)","(7.910430044326638, -4.208980040283155, 4.062809808459971)","300","7181","13500","7286","13500","7294","13500"
|
||||
"(-2.8042349364616856, 1.0542882226076007, 5.024807308594803)","(9.572098799316016, 8.138427119947288, 4.246527271649148)","301","7200","13500","7130","13500","7216","13500"
|
||||
"(-6.590343947577746, -2.958622532690026, 5.667872095304804)","(-9.297202253856092, -8.850624075345166, 4.231618054388619)","302","7456","13500","7571","13500","7627","13500"
|
||||
"(-2.071704469483684, -2.1288114759225567, -4.286491513946247)","(-8.959324553555028, 4.33890901083582, 3.9254233713283546)","303","7214","13500","7245","13500","7204","13500"
|
||||
"(1.4656518820056976, -5.543209340800559, 3.873134443130204)","(-0.4267831029017515, -7.677077599855695, 4.0392646586514935)","304","738","13500","778","13500","874","13500"
|
||||
"(6.802661158474651, -0.18139230999324163, -7.257517470140506)","(-4.92975537937113, -5.596888152192603, 4.467204389922615)","305","704","13500","748","13500","686","13500"
|
||||
"(5.164290500632471, 4.188092332137302, 6.0386007404451805)","(-1.8406327952464263, 3.3102704417729143, 3.5992153746702993)","306","217","13500","146","13500","84","13500"
|
||||
"(1.128896385862166, 0.03775316356529975, 1.891914085648137)","(-0.8501422086311194, -3.515505999075595, 4.001618374026658)","307","812","13500","903","13500","952","13500"
|
||||
"(-3.413172940929819, 6.587350310094445, -4.274483170579685)","(5.241293027285199, 8.677323059613073, 4.17903163958537)","308","7342","13500","7482","13500","7327","13500"
|
||||
"(-1.884917513500519, 6.23688733187869, -6.293740476817828)","(-5.616553474430328, 9.6365700242353, 4.319272123727423)","309","7517","13500","7691","13500","7759","13500"
|
||||
"(8.687306504334341, 2.253124715452999, 0.4268936824115399)","(8.610727638741654, -1.1833700282160091, 4.3305830260367975)","310","738","13500","801","13500","938","13500"
|
||||
"(-4.186826924515315, -0.1376837434996824, 7.11576737233478)","(7.760582155186405, -2.1651664189423236, 4.174525055980059)","311","7275","13500","7241","13500","7196","13500"
|
||||
"(-7.666158570666806, -0.1703508065617383, 3.55492666059719)","(-5.819242285691979, 0.9823660494473963, 4.060209765568927)","312","428","13500","450","13500","441","13500"
|
||||
"(1.7818543658887382, -2.9499624146787475, 2.321092662925912)","(-8.276022652116568, 0.9518966034946672, 3.916356887405732)","313","7103","13500","7143","13500","7102","13500"
|
||||
"(6.7620232098447755, -4.623845012589718, -0.08777171320202441)","(2.326569577694226, 1.2331729666187563, 3.660608056193049)","314","252","13500","298","13500","258","13500"
|
||||
"(-2.8895051143441055, 7.943834181321509, 4.717362322465975)","(-0.9461755569530723, 1.023844053617955, 4.01894509483118)","315","234","13500","197","13500","164","13500"
|
||||
"(-2.797002688322915, -4.61148440725945, -1.6514880441574173)","(9.614970457830609, -2.824781170550297, 3.8923703784658525)","316","7036","13500","7137","13500","7216","13500"
|
||||
"(-3.1092946772723913, 8.319942762665654, 3.379136237080132)","(-1.90925444716218, 3.143850598682027, 3.528753815286512)","317","290","13500","229","13500","238","13500"
|
||||
"(-5.365192162861112, -7.311882863503143, 3.5557635248116526)","(9.20109232744544, -1.9102174746924874, 3.713478306431688)","318","7013","13500","7097","13500","7299","13500"
|
||||
"(6.2845598133395075, 5.720681391644094, 2.9642694872166193)","(-0.04342669197574622, 2.5729497236824805, 3.7940591356842415)","319","376","13500","231","13500","166","13500"
|
||||
"(-3.6288830574502304, -5.187089596014159, 1.748871393588608)","(7.580241301593446, -3.456114141276432, 4.051169612446726)","320","7631","13500","7633","13500","7563","13500"
|
||||
"(-2.0116739713654463, -4.285933248514893, 6.518868125569906)","(-1.3629884517802964, -5.452828713659805, 3.951656740204201)","321","402","13500","475","13500","409","13500"
|
||||
"(4.697716407056832, -5.6112837032692315, 4.4719027967839775)","(-2.1052050479442013, -4.678094564875925, 3.892834483159558)","322","501","13500","436","13500","338","13500"
|
||||
"(-2.042565749683006, 0.9878641489607981, 8.688009835889813)","(6.089301627955521, -6.636662022901705, 4.228041818257188)","323","6812","13500","6983","13500","7218","13500"
|
||||
"(-6.764719973000999, 6.179128946436974, -2.4721752620189568)","(-9.78748468317879, -0.6802474425142968, 4.171991808398146)","324","7384","13500","7436","13500","7534","13500"
|
||||
"(-0.9809745006210796, 1.2956878323637726, -1.7711618059528533)","(7.831741448812878, -1.788166163777337, 4.329696451244208)","325","7307","13500","7403","13500","7231","13500"
|
||||
"(-3.682597792364819, -0.185853234243273, -3.8804307838614167)","(7.138783225290407, -9.819156635919825, 3.733607754691909)","326","7284","13500","7303","13500","7204","13500"
|
||||
"(3.4243444710548134, -1.6523013788216707, -2.694010139060982)","(-3.4502805135571606, -6.543258065075226, 3.7961150736240756)","327","7168","13500","7322","13500","7274","13500"
|
||||
"(6.589781133815182, -0.13045311767712078, 6.184896183754181)","(-0.3293102255060276, -9.54506129913409, 3.597896012704439)","328","6809","13500","7017","13500","7199","13500"
|
||||
"(-4.696442221441111, -5.247355875903176, -5.148947753864708)","(2.8418749717170435, -6.833131826841643, 4.379954044261717)","329","7556","13500","7455","13500","7555","13500"
|
||||
"(-4.2296735368896705, -4.599164474439893, -0.5671392144739533)","(8.158971119415746, 3.049241316041167, 3.727525267755795)","330","773","13500","828","13500","902","13500"
|
||||
"(0.09932350233881554, -6.976160164154345, -4.779450357426486)","(4.858313883476521, 9.336720075258963, 4.177764410612509)","331","764","13500","938","13500","959","13500"
|
||||
"(-4.606789017621154, -7.452157723217131, -3.617547171734161)","(6.891369869645267, -1.7824967007208965, 4.070967901147737)","332","767","13500","823","13500","848","13500"
|
||||
"(-4.020893642262086, -7.661407082050231, 1.121485834463917)","(5.46998176219153, 4.3929067622687885, 4.383125951945658)","333","729","13500","833","13500","1002","13500"
|
||||
|
@ -20,3 +20,24 @@ def test_static_dipole():
|
||||
numpy.testing.assert_allclose(measurement.r, dot_position1, err_msg="Dot position should have been passed over")
|
||||
numpy.testing.assert_allclose(measurement.f, dot_frequency1, err_msg="Dot frequency should have been passed over")
|
||||
numpy.testing.assert_allclose(measurement.v, expected_v1 + expected_v2, err_msg="Voltage at dot isn't as expected.")
|
||||
|
||||
|
||||
def test_range_dipole_measurements():
|
||||
d1 = pdme.measurement.OscillatingDipole((1, 2, 3), (4, 5, 6), 7)
|
||||
d2 = pdme.measurement.OscillatingDipole((2, 5, 3), (4, -5, -6), 2)
|
||||
dipoles = pdme.measurement.OscillatingDipoleArrangement([d1, d2])
|
||||
|
||||
dot_position1 = (-1, -1, -1)
|
||||
dot_frequency1 = 11
|
||||
expected_v1 = 0.00001421963287022476
|
||||
expected_v2 = 0.00001107180225755457
|
||||
|
||||
numpy.testing.assert_allclose(d1.s_at_position(dot_position1, dot_frequency1), expected_v1, err_msg="Voltage at dot isn't as expected.")
|
||||
|
||||
range_dot_measurements = dipoles.get_percent_range_dot_measurements([(dot_position1, dot_frequency1)], 0.5, 1.5)
|
||||
assert len(range_dot_measurements) == 1, "Should have only had one dot measurement."
|
||||
range_measurement = range_dot_measurements[0]
|
||||
numpy.testing.assert_allclose(range_measurement.r, dot_position1, err_msg="Dot position should have been passed over")
|
||||
numpy.testing.assert_allclose(range_measurement.f, dot_frequency1, err_msg="Dot frequency should have been passed over")
|
||||
numpy.testing.assert_allclose(range_measurement.v_low, (expected_v1 + expected_v2) / 2, err_msg="Lower voltage at dot isn't as expected.")
|
||||
numpy.testing.assert_allclose(range_measurement.v_high, (expected_v1 + expected_v2) * 3 / 2, err_msg="Lower oltage at dot isn't as expected.")
|
||||
|
||||
33
tests/util/test_fast_v_calc.py
Normal file
33
tests/util/test_fast_v_calc.py
Normal file
@ -0,0 +1,33 @@
|
||||
import numpy
|
||||
import pdme.util.fast_v_calc
|
||||
|
||||
|
||||
def test_fast_v_calc():
|
||||
d1 = [1, 2, 3, 4, 5, 6, 7]
|
||||
d2 = [2, 5, 3, 4, -5, -6, 2]
|
||||
|
||||
dipoles = numpy.array([d1, d2])
|
||||
|
||||
dot_inputs = numpy.array([[-1, -1, -1, 11], [2, 3, 1, 5.5]])
|
||||
# expected_ij is for dot i, dipole j
|
||||
expected_11 = 0.00001421963287022476
|
||||
expected_12 = 0.00001107180225755457
|
||||
expected_21 = 0.000345021108583681380388722
|
||||
expected_22 = 0.0000377061050587914705139781
|
||||
|
||||
expected = numpy.array([[expected_11, expected_21], [expected_12, expected_22]])
|
||||
|
||||
numpy.testing.assert_allclose(pdme.util.fast_v_calc.fast_vs_for_dipoles(dot_inputs, dipoles), expected, err_msg="Voltages at dot aren't as expected.")
|
||||
|
||||
|
||||
def test_between():
|
||||
low = numpy.array([1, 2, 3])
|
||||
high = numpy.array([6, 7, 8])
|
||||
|
||||
# FALSE FALSE TRUE
|
||||
a = [[0, 1, 2], [0, 9, 5], [4, 5, 6]]
|
||||
|
||||
actual = pdme.util.fast_v_calc.between(a, low, high)
|
||||
expected = numpy.array([False, False, True])
|
||||
|
||||
numpy.testing.assert_array_equal(actual, expected, err_msg="Between calc wrong")
|
||||
@ -1,102 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"(1, 1, 1)","(-1.3071476997121163, -6.700249117765953, 4.395652427243794)","1","65","125","68","125","73","125"
|
||||
"(1, 1, 1)","(7.218372433770103, -5.4783551032463755, 3.5820519422486634)","2","75","125","71","125","63","125"
|
||||
"(1, 1, 1)","(2.670117263667258, -9.627026891446988, 4.003539768646438)","3","77","125","81","125","76","125"
|
||||
"(1, 1, 1)","(2.3513316333181518, -8.402829356877447, 4.419760582254243)","4","87","125","98","125","90","125"
|
||||
"(1, 1, 1)","(-2.9839225924046575, -6.141574546943785, 4.1041288625417485)","5","73","125","87","125","76","125"
|
||||
"(1, 1, 1)","(-4.204110846621358, 2.5303736517209057, 4.048769088470612)","6","95","125","98","125","97","125"
|
||||
"(1, 1, 1)","(2.3951582053250107, -3.806262247740051, 3.52835893773293)","7","42","125","53","125","51","125"
|
||||
"(1, 1, 1)","(4.614882297991274, -8.808238152984519, 3.7824650173104026)","8","90","125","97","125","92","125"
|
||||
"(1, 1, 1)","(9.855038420690349, -5.756988885735215, 4.02622426234394)","9","63","125","63","125","60","125"
|
||||
"(1, 1, 1)","(-1.975488734839292, 1.1919182845159497, 3.6993525693957134)","10","5","125","5","125","1","125"
|
||||
"(1, 1, 1)","(4.392293449091486, 8.928201833428023, 4.054857054102779)","11","39","125","47","125","51","125"
|
||||
"(1, 1, 1)","(-0.8851390479842447, -8.799158377226185, 4.401733682923287)","12","67","125","66","125","66","125"
|
||||
"(1, 1, 1)","(0.42620076797180495, -1.6572190172596173, 4.26833391853475)","13","4","125","9","125","8","125"
|
||||
"(1, 1, 1)","(-0.34332949190052275, 7.390672414051384, 4.285219727507512)","14","58","125","50","125","34","125"
|
||||
"(1, 1, 1)","(6.370340479825991, -9.803769484121197, 3.558244929025539)","15","89","125","78","125","62","125"
|
||||
"(1, 1, 1)","(6.404437426109364, 1.4294134888840944, 3.7659622101764874)","16","41","125","33","125","30","125"
|
||||
"(1, 1, 1)","(-1.8976622476931766, 9.122269173201449, 3.7652768901767337)","17","75","125","73","125","72","125"
|
||||
"(1, 1, 1)","(-8.143746209641334, 6.416731541712444, 4.152532781560311)","18","83","125","61","125","51","125"
|
||||
"(1, 1, 1)","(-2.896487219663868, -0.12771390497393398, 4.419779314721039)","19","97","125","86","125","86","125"
|
||||
"(1, 1, 1)","(-4.874035805963994, 6.798418215490049, 3.6614980332268123)","20","77","125","68","125","64","125"
|
||||
"(1, 1, 1)","(2.5780932230895903, 8.330432617992656, 3.831260261873832)","21","34","125","46","125","44","125"
|
||||
"(1, 1, 1)","(5.394702089639798, -3.8157885544740378, 3.81976828019038)","22","83","125","86","125","79","125"
|
||||
"(1, 1, 1)","(6.780437420843672, -4.548672162372895, 3.811811299277605)","23","76","125","70","125","67","125"
|
||||
"(1, 1, 1)","(-1.1140709786515828, 9.224680535022042, 4.417201732495089)","24","72","125","73","125","65","125"
|
||||
"(1, 1, 1)","(9.840480458049512, -4.081933028387194, 3.754773675980285)","25","68","125","68","125","64","125"
|
||||
"(1, 1, 1)","(-8.992020659984203, 2.445449284562626, 3.6713428659907255)","26","75","125","82","125","83","125"
|
||||
"(1, 1, 1)","(9.33865987676737, 4.080295537411807, 4.493177257924216)","27","75","125","69","125","74","125"
|
||||
"(1, 1, 1)","(2.4289336895957128, 3.3064937024643353, 4.031356880776505)","28","0","125","0","125","2","125"
|
||||
"(1, 1, 1)","(-1.565081115509086, 3.214572009875468, 4.366734735167469)","29","24","125","27","125","23","125"
|
||||
"(1, 1, 1)","(-8.326745947809552, 2.4186579290782912, 3.998914473553338)","30","85","125","93","125","87","125"
|
||||
"(1, 1, 1)","(8.900966393777146, 4.728569183030116, 4.052313581259492)","31","73","125","71","125","72","125"
|
||||
"(1, 1, 1)","(5.6089623686378705, 5.235400040117584, 3.5204966739804275)","32","39","125","48","125","32","125"
|
||||
"(1, 1, 1)","(-2.141467548978177, 3.6861264504765856, 4.151195275048425)","33","52","125","38","125","34","125"
|
||||
"(1, 1, 1)","(-3.6785617070181686, -8.43223311494629, 4.034902923022079)","34","59","125","56","125","57","125"
|
||||
"(1, 1, 1)","(7.02252151510433, -0.8467000098044402, 4.446000810839051)","35","85","125","91","125","87","125"
|
||||
"(1, 1, 1)","(1.0071792288024177, 1.9552038161188356, 4.438810828257602)","36","0","125","0","125","8","125"
|
||||
"(1, 1, 1)","(1.7678933213377057, 9.310191575902028, 3.9768855608808455)","37","65","125","65","125","66","125"
|
||||
"(1, 1, 1)","(9.8764776529365, 4.812107041082296, 4.423304716572885)","38","60","125","71","125","76","125"
|
||||
"(1, 1, 1)","(-2.9375746159005356, -2.7403141667371766, 4.012796058782112)","39","93","125","94","125","97","125"
|
||||
"(1, 1, 1)","(-5.75953746672911, 9.276715894071359, 3.801553423391647)","40","63","125","66","125","56","125"
|
||||
"(1, 1, 1)","(-6.6822323090082865, -6.258971699410716, 4.431815039205021)","41","50","125","53","125","51","125"
|
||||
"(1, 1, 1)","(-4.026753235654348, -9.812528165804853, 3.5963558752504965)","42","51","125","58","125","54","125"
|
||||
"(1, 1, 1)","(2.6097119512596585, -9.726945912857284, 4.430690997565616)","43","79","125","87","125","87","125"
|
||||
"(1, 1, 1)","(0.04668988565424925, 0.2512264654907739, 3.7585484691726863)","44","0","125","0","125","0","125"
|
||||
"(1, 1, 1)","(9.820856391123357, 9.87339142049668, 4.203592518006166)","45","56","125","57","125","72","125"
|
||||
"(1, 1, 1)","(7.4197203947739645, -3.0677498083556998, 3.8105825202118453)","46","76","125","69","125","72","125"
|
||||
"(1, 1, 1)","(2.011468427331206, -0.5861081537599766, 4.312083152133434)","47","11","125","10","125","6","125"
|
||||
"(1, 1, 1)","(-5.756739442389145, -8.245316022824852, 4.171930309954691)","48","47","125","55","125","51","125"
|
||||
"(1, 1, 1)","(4.490485790422662, 1.8732729498228764, 3.93326803719199)","49","31","125","34","125","31","125"
|
||||
"(1, 1, 1)","(6.417964772392757, -1.1433752107731703, 4.32797930850544)","50","82","125","87","125","84","125"
|
||||
"(1, 1, 1)","(-6.791084454056289, 0.9280624799258632, 3.6768392137910415)","51","88","125","93","125","82","125"
|
||||
"(1, 1, 1)","(-9.582966173166751, 2.154393617259995, 4.490746748792899)","52","76","125","85","125","87","125"
|
||||
"(1, 1, 1)","(4.48850023517352, -4.827423234222152, 3.8296749113008053)","53","77","125","86","125","77","125"
|
||||
"(1, 1, 1)","(-7.052819413017439, 9.638245665241396, 3.6244690819235528)","54","62","125","64","125","58","125"
|
||||
"(1, 1, 1)","(-8.29317373205476, -6.58274239289103, 4.463613321583182)","55","45","125","54","125","53","125"
|
||||
"(1, 1, 1)","(-5.484506885574225, 0.3238134367884449, 4.363823405732285)","56","91","125","98","125","96","125"
|
||||
"(1, 1, 1)","(-3.7499297857576774, 8.224147507188825, 3.849332549933495)","57","69","125","70","125","66","125"
|
||||
"(1, 1, 1)","(-7.899606501489307, 5.136397656905771, 3.9206317026822695)","58","93","125","79","125","62","125"
|
||||
"(1, 1, 1)","(-3.8046044696678694, 5.335120295090137, 3.5542283412585114)","59","78","125","70","125","66","125"
|
||||
"(1, 1, 1)","(6.230387177307197, 6.589239099683155, 3.659310224400456)","60","71","125","80","125","82","125"
|
||||
"(1, 1, 1)","(2.6248653618706914, -6.625672325698535, 4.128391376089842)","61","92","125","77","125","62","125"
|
||||
"(1, 1, 1)","(8.671187442245238, 4.490909303874629, 3.6882658976437286)","62","61","125","75","125","82","125"
|
||||
"(1, 1, 1)","(4.879576943471719, 4.62609474351688, 4.220496316727257)","63","39","125","52","125","45","125"
|
||||
"(1, 1, 1)","(-6.035052405635408, 2.0563400072208893, 4.450247481328782)","64","92","125","81","125","63","125"
|
||||
"(1, 1, 1)","(-7.30372423377659, 6.365942598458975, 3.712835165977979)","65","76","125","65","125","54","125"
|
||||
"(1, 1, 1)","(-9.093726414247591, -4.082397710629677, 4.381882393102692)","66","49","125","56","125","52","125"
|
||||
"(1, 1, 1)","(7.18875719610379, 8.09659664609671, 4.2056490589887225)","67","61","125","63","125","80","125"
|
||||
"(1, 1, 1)","(-8.767868975226582, -7.110440467123724, 4.143221741917714)","68","45","125","53","125","51","125"
|
||||
"(1, 1, 1)","(-4.645885675492691, 5.84450948382878, 4.332548703062837)","69","65","125","66","125","61","125"
|
||||
"(1, 1, 1)","(-0.3515331659703502, -2.6682483026586334, 3.948948551702751)","70","96","125","90","125","77","125"
|
||||
"(1, 1, 1)","(-0.3458547516538957, -2.491947278374047, 4.13684511981341)","71","92","125","89","125","80","125"
|
||||
"(1, 1, 1)","(-8.365438644778688, 8.911536794594738, 4.35595576607531)","72","68","125","64","125","53","125"
|
||||
"(1, 1, 1)","(1.7421570906859092, -4.933996380786521, 3.5410097450551685)","73","90","125","80","125","72","125"
|
||||
"(1, 1, 1)","(0.3805029227999608, 8.329915127355157, 4.404605725184772)","74","65","125","72","125","70","125"
|
||||
"(1, 1, 1)","(-9.227523091144647, 1.6001819216662376, 3.8219292828494433)","75","67","125","77","125","77","125"
|
||||
"(1, 1, 1)","(-9.767645879311456, -1.0931545436354728, 4.0699503052104955)","76","52","125","60","125","54","125"
|
||||
"(1, 1, 1)","(1.5091280004018959, 9.412777563405083, 4.360556528629392)","77","64","125","65","125","74","125"
|
||||
"(1, 1, 1)","(-1.7623804361864632, -2.0351033653042734, 4.472849399366704)","78","98","125","83","125","72","125"
|
||||
"(1, 1, 1)","(3.7355290659682243, -7.362021942105972, 4.145494539316297)","79","97","125","78","125","63","125"
|
||||
"(1, 1, 1)","(-9.03106127454528, 9.357492439901577, 3.6050033084196405)","80","69","125","64","125","55","125"
|
||||
"(1, 1, 1)","(2.9881194986618613, 0.03803834040546583, 3.6238812922556503)","81","16","125","15","125","9","125"
|
||||
"(1, 1, 1)","(-0.9729670201368386, 6.734606686223945, 4.240792163436636)","82","68","125","73","125","71","125"
|
||||
"(1, 1, 1)","(4.504085235771001, -0.27544762434952474, 4.190743785296113)","83","35","125","53","125","41","125"
|
||||
"(1, 1, 1)","(-1.2818528945002932, 2.219270467308574, 3.995049912652533)","84","44","125","32","125","42","125"
|
||||
"(1, 1, 1)","(-4.619703893760443, -7.933597445973679, 3.817598301618231)","85","46","125","55","125","54","125"
|
||||
"(1, 1, 1)","(0.9355382175114446, 6.279210741725343, 4.305535266349451)","86","80","125","82","125","86","125"
|
||||
"(1, 1, 1)","(0.036379510848508545, 8.618906140674284, 3.537433742801035)","87","69","125","72","125","75","125"
|
||||
"(1, 1, 1)","(-9.163218135748112, -2.857301712786178, 4.140633573739266)","88","48","125","56","125","51","125"
|
||||
"(1, 1, 1)","(8.79807097941676, 8.667555586971506, 4.013901825212938)","89","49","125","60","125","74","125"
|
||||
"(1, 1, 1)","(9.427709499269614, 3.6585610586304824, 4.010369447501767)","90","65","125","68","125","81","125"
|
||||
"(1, 1, 1)","(4.7983927306812575, -8.988917241832235, 4.227310555397707)","91","69","125","75","125","46","125"
|
||||
"(1, 1, 1)","(5.197762102511529, -6.545821443810722, 3.7446701513376035)","92","78","125","62","125","54","125"
|
||||
"(1, 1, 1)","(6.922025186915906, -1.2132821056716914, 4.132922329295377)","93","67","125","73","125","72","125"
|
||||
"(1, 1, 1)","(-5.899108956676551, 4.748633032730844, 3.842525673768547)","94","74","125","65","125","51","125"
|
||||
"(1, 1, 1)","(-9.186235737127497, 5.786607875326968, 4.471088201722466)","95","94","125","78","125","63","125"
|
||||
"(1, 1, 1)","(0.9907173778988998, -9.020115269140792, 3.5126392637533206)","96","69","125","74","125","71","125"
|
||||
"(1, 1, 1)","(-1.1089684741182566, -7.74549902787808, 3.780271935235385)","97","57","125","57","125","55","125"
|
||||
"(1, 1, 1)","(9.058511997318845, 0.00032359542407434105, 3.7192703699393164)","98","69","125","67","125","76","125"
|
||||
"(1, 1, 1)","(-4.9484009469033445, -3.5973226585462985, 3.65498202562694)","99","60","125","57","125","56","125"
|
||||
"(1, 1, 1)","(-1.8666588479949162, -4.867448255550755, 4.24673773104358)","100","73","125","87","125","82","125"
|
||||
|
@ -1,101 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"(1, 1, 1)","(-3.1785819524149765, -6.422104762626337, 3.9503090060105075)","1","77","125","72","125","69","125"
|
||||
"(1, 1, 1)","(2.3715791204749532, 0.8946224822851594, 3.6596389328307817)","2","0","125","1","125","0","125"
|
||||
"(1, 1, 1)","(-7.992571481753332, -3.2414854464110725, 4.40969635565024)","3","55","125","67","125","73","125"
|
||||
"(1, 1, 1)","(0.18382562551655646, 1.5998424236883402, 3.8195429110965113)","4","0","125","3","125","0","125"
|
||||
"(1, 1, 1)","(-3.6827593505161964, 1.8939634776585468, 4.438083480198813)","5","83","125","87","125","87","125"
|
||||
"(1, 1, 1)","(8.643061006806928, 1.1908613125185479, 3.5023411593837706)","6","10","125","5","125","7","125"
|
||||
"(1, 1, 1)","(8.360375979734002, 5.547093599572079, 3.5801578606472626)","7","3","125","5","125","5","125"
|
||||
"(1, 1, 1)","(-5.3304836862880345, 3.420923266031, 4.493435732890354)","8","98","125","90","125","86","125"
|
||||
"(1, 1, 1)","(7.984736794236422, -1.6003368074379019, 3.6355663710931685)","9","46","125","45","125","29","125"
|
||||
"(1, 1, 1)","(5.642757490783447, -4.805649520676285, 4.370813035953928)","10","86","125","85","125","67","125"
|
||||
"(1, 1, 1)","(-4.569214341502674, -8.246472599027852, 3.808664982838632)","11","60","125","58","125","56","125"
|
||||
"(1, 1, 1)","(-0.6129822734076242, 1.975121443573073, 4.399593960910105)","12","0","125","4","125","10","125"
|
||||
"(1, 1, 1)","(-7.224710077987353, 4.986469509193924, 3.5500709388358995)","13","79","125","77","125","88","125"
|
||||
"(1, 1, 1)","(1.1089755949393556, -7.324406145133818, 4.1767941513462485)","14","61","125","64","125","67","125"
|
||||
"(1, 1, 1)","(-6.867511754123543, 1.18728891752699, 4.2096167453193)","15","63","125","69","125","77","125"
|
||||
"(1, 1, 1)","(4.98504343651075, -7.331413874604693, 4.119739248214733)","16","86","125","85","125","77","125"
|
||||
"(1, 1, 1)","(2.1395885791327913, 3.3464194248174373, 4.40640326427988)","17","0","125","0","125","1","125"
|
||||
"(1, 1, 1)","(-3.8978078287173634, 8.401408452943816, 3.700675778196623)","18","73","125","64","125","60","125"
|
||||
"(1, 1, 1)","(-1.028439700076305, 0.6659407077361514, 4.255066188150615)","19","91","125","92","125","74","125"
|
||||
"(1, 1, 1)","(9.103765768536213, -2.6429730959873865, 4.182310744512549)","20","63","125","69","125","70","125"
|
||||
"(1, 1, 1)","(6.707547653269074, -0.015568357215471451, 3.5750954205182848)","21","8","125","5","125","5","125"
|
||||
"(1, 1, 1)","(1.185779787422108, 1.5631441121482403, 3.737987495469337)","22","3","125","3","125","0","125"
|
||||
"(1, 1, 1)","(-5.613039768280252, 6.299456678286823, 4.0560214768735)","23","85","125","92","125","68","125"
|
||||
"(1, 1, 1)","(-1.3418600636884719, -8.621600945824696, 3.9456438859871943)","24","50","125","50","125","52","125"
|
||||
"(1, 1, 1)","(0.6391430775402807, 4.776811138220161, 3.8880039255622783)","25","5","125","5","125","2","125"
|
||||
"(1, 1, 1)","(9.716312018262851, -9.819604792241911, 3.5096617782969646)","26","98","125","73","125","67","125"
|
||||
"(1, 1, 1)","(2.357752609628861, 4.681634704665571, 3.93205780885211)","27","3","125","1","125","0","125"
|
||||
"(1, 1, 1)","(-5.326398260622536, 0.8441526268359674, 4.342122031520651)","28","68","125","81","125","83","125"
|
||||
"(1, 1, 1)","(-7.1473858987787375, 6.8740486258929465, 4.206224781687428)","29","99","125","88","125","66","125"
|
||||
"(1, 1, 1)","(-0.5572781737262602, -9.63362593814352, 4.334269824159562)","30","50","125","51","125","49","125"
|
||||
"(1, 1, 1)","(1.5430419494398038, -2.694675499070385, 4.422271137144171)","31","92","125","100","125","71","125"
|
||||
"(1, 1, 1)","(-2.4118576229348188, -5.594438950606695, 4.39659317424543)","32","50","125","57","125","54","125"
|
||||
"(1, 1, 1)","(4.678205579345846, -4.435255379647796, 4.415372026737615)","33","87","125","90","125","71","125"
|
||||
"(1, 1, 1)","(2.5732715043481456, 2.7680441452666855, 4.36708571927521)","34","0","125","0","125","0","125"
|
||||
"(1, 1, 1)","(-0.45514110441184386, -2.5898312120446665, 3.8239833237186494)","35","75","125","80","125","85","125"
|
||||
"(1, 1, 1)","(-1.6715171065088654, 2.3907998333194413, 4.3343725413538285)","36","94","125","90","125","81","125"
|
||||
"(1, 1, 1)","(1.2954242282382982, 1.1475851551449345, 4.007534665821421)","37","1","125","0","125","1","125"
|
||||
"(1, 1, 1)","(8.298178690654495, -4.141358410749514, 4.304610245268913)","38","70","125","67","125","59","125"
|
||||
"(1, 1, 1)","(-1.2671565512188625, 8.229565678133145, 4.291837210529245)","39","66","125","76","125","85","125"
|
||||
"(1, 1, 1)","(4.749643440467219, 3.8451313296984715, 3.812787589912217)","40","10","125","8","125","2","125"
|
||||
"(1, 1, 1)","(-6.299274623755398, 3.8228778564119175, 3.63006506136637)","41","77","125","75","125","81","125"
|
||||
"(1, 1, 1)","(-9.233557617798752, -1.6251341799729317, 4.409757983260206)","42","50","125","53","125","49","125"
|
||||
"(1, 1, 1)","(3.4609625630083904, 1.6336099070892836, 3.603472486492687)","43","0","125","2","125","0","125"
|
||||
"(1, 1, 1)","(-8.083958068616187, 1.3469207593366015, 3.5108572945186087)","44","53","125","57","125","56","125"
|
||||
"(1, 1, 1)","(0.9530809650185859, 2.2507091657498925, 4.404289386701055)","45","0","125","0","125","0","125"
|
||||
"(1, 1, 1)","(-1.884800878786434, -7.3914056230122815, 4.472928549544164)","46","50","125","50","125","47","125"
|
||||
"(1, 1, 1)","(0.31835677905577064, -1.1121446251771836, 3.9804333112197186)","47","90","125","90","125","64","125"
|
||||
"(1, 1, 1)","(7.167300978585935, 1.2643644632249185, 4.006103450999424)","48","36","125","31","125","21","125"
|
||||
"(1, 1, 1)","(-7.190308244123709, 7.983515736172674, 3.5167673758868823)","49","94","125","83","125","66","125"
|
||||
"(1, 1, 1)","(5.763030355813228, -0.08308322178580418, 3.8085763478095758)","50","19","125","14","125","10","125"
|
||||
"(1, 1, 1)","(4.75507438343544, -1.7993137194421838, 3.839877283178131)","51","84","125","85","125","94","125"
|
||||
"(1, 1, 1)","(-1.934559887382827, 4.879515264403025, 4.475103601503803)","52","82","125","79","125","84","125"
|
||||
"(1, 1, 1)","(-0.10536751573241254, 9.954038518337963, 3.8566055204226792)","53","64","125","66","125","72","125"
|
||||
"(1, 1, 1)","(-4.9114431009710895, -2.3921752213783787, 3.5360805336039265)","54","51","125","59","125","54","125"
|
||||
"(1, 1, 1)","(9.747801374345261, -7.768497639861471, 3.622251646152478)","55","82","125","71","125","63","125"
|
||||
"(1, 1, 1)","(-2.69873225857705, 6.082441097361819, 3.5454456502688414)","56","75","125","71","125","68","125"
|
||||
"(1, 1, 1)","(2.190571797735899, 0.14782308658974408, 4.400301455100462)","57","12","125","10","125","6","125"
|
||||
"(1, 1, 1)","(-6.485911622507812, -9.635183657240667, 4.374995706344277)","58","46","125","47","125","45","125"
|
||||
"(1, 1, 1)","(-2.7960112534874026, 0.6822227130858423, 3.9875136023988222)","59","90","125","91","125","87","125"
|
||||
"(1, 1, 1)","(-4.777994877373047, -4.080466479637437, 3.7197919402255932)","60","54","125","50","125","52","125"
|
||||
"(1, 1, 1)","(7.525565018865191, 4.037935252860281, 4.031998502681133)","61","53","125","44","125","48","125"
|
||||
"(1, 1, 1)","(0.9061564844602863, -8.072226639958153, 4.343003811150518)","62","51","125","53","125","57","125"
|
||||
"(1, 1, 1)","(-5.66832757958637, -3.847685827237088, 3.5096350701263224)","63","59","125","51","125","50","125"
|
||||
"(1, 1, 1)","(0.2314458957843577, 7.053326465007217, 4.387348329925239)","64","75","125","90","125","95","125"
|
||||
"(1, 1, 1)","(-2.8910973976658223, -7.281736469122411, 4.248369571019221)","65","50","125","50","125","49","125"
|
||||
"(1, 1, 1)","(7.287682532362346, -9.5990487954715, 3.806108855607121)","66","89","125","87","125","78","125"
|
||||
"(1, 1, 1)","(5.818170404095326, -7.61052267559805, 3.7888182490436435)","67","86","125","89","125","78","125"
|
||||
"(1, 1, 1)","(7.716120964992118, -6.279628727423114, 3.7458790472523704)","68","84","125","75","125","66","125"
|
||||
"(1, 1, 1)","(8.12398855203881, -4.0810701582818805, 3.9494713672960176)","69","70","125","70","125","59","125"
|
||||
"(1, 1, 1)","(-0.15176837140678856, 7.237739314230868, 4.476319710419323)","70","73","125","87","125","89","125"
|
||||
"(1, 1, 1)","(5.173363578248136, -1.759201026748185, 3.949799309636673)","71","81","125","76","125","84","125"
|
||||
"(1, 1, 1)","(6.504343678145553, 0.009745124653788295, 4.497792684296299)","72","74","125","87","125","94","125"
|
||||
"(1, 1, 1)","(4.8388270713739026, 7.6135355267442115, 4.322569123931589)","73","79","125","80","125","84","125"
|
||||
"(1, 1, 1)","(-9.796768569975583, 1.6869843015068842, 4.38036728963277)","74","55","125","59","125","60","125"
|
||||
"(1, 1, 1)","(4.11957754443913, 8.648829912960274, 4.316033259566462)","75","62","125","75","125","77","125"
|
||||
"(1, 1, 1)","(-0.6959053617541642, 8.794311054271557, 3.7199841213462275)","76","67","125","72","125","71","125"
|
||||
"(1, 1, 1)","(-9.85981640041688, 8.501247791006104, 4.200085561912752)","77","88","125","90","125","62","125"
|
||||
"(1, 1, 1)","(-4.503094361382631, -3.5758418203740794, 4.1742172891574905)","78","47","125","50","125","48","125"
|
||||
"(1, 1, 1)","(-7.562117385350358, 6.821430667431876, 3.6131160754669533)","79","70","125","87","125","62","125"
|
||||
"(1, 1, 1)","(5.003242339118447, -0.8852330917050129, 4.175362884082549)","80","80","125","85","125","95","125"
|
||||
"(1, 1, 1)","(4.254490915773115, 1.2269901450531115, 4.463918713650002)","81","12","125","11","125","5","125"
|
||||
"(1, 1, 1)","(-3.307218386349242, 0.5780076149661113, 4.215404166404236)","82","76","125","84","125","87","125"
|
||||
"(1, 1, 1)","(-0.8093587867019494, -0.48255244708915335, 3.802207311896658)","83","87","125","90","125","86","125"
|
||||
"(1, 1, 1)","(-7.256617673468613, -4.782472937108504, 3.50032672205664)","84","56","125","57","125","45","125"
|
||||
"(1, 1, 1)","(8.30262984410875, -8.02390009352619, 4.011884970360856)","85","97","125","81","125","66","125"
|
||||
"(1, 1, 1)","(-8.039726071337343, 2.0319410174752477, 4.187857705716551)","86","58","125","65","125","72","125"
|
||||
"(1, 1, 1)","(0.6420985463545534, -0.8731554488322892, 3.6805021679967105)","87","90","125","90","125","66","125"
|
||||
"(1, 1, 1)","(9.511990871008258, -5.122321154733225, 4.387688793679617)","88","68","125","62","125","52","125"
|
||||
"(1, 1, 1)","(-3.3212773804783335, 2.7039582231848307, 3.7653224102042557)","89","100","125","99","125","64","125"
|
||||
"(1, 1, 1)","(-1.5588873733705206, 5.500843649859515, 4.0541192494776155)","90","78","125","76","125","78","125"
|
||||
"(1, 1, 1)","(-7.474277334490429, -1.4706777895161025, 4.356841857964023)","91","45","125","49","125","49","125"
|
||||
"(1, 1, 1)","(-4.769730052330408, 0.5355201368647151, 3.810814662919528)","92","69","125","73","125","77","125"
|
||||
"(1, 1, 1)","(-8.859966818759474, -0.12627645954762023, 3.8525793241568174)","93","54","125","49","125","49","125"
|
||||
"(1, 1, 1)","(-2.4161577619230767, -3.46091379668316, 3.5589051367821023)","94","50","125","53","125","54","125"
|
||||
"(1, 1, 1)","(-5.984540375903338, 3.256070336667932, 3.9279960068862083)","95","83","125","71","125","76","125"
|
||||
"(1, 1, 1)","(3.055488800913448, 1.8320603131013247, 4.360269880252684)","96","11","125","5","125","5","125"
|
||||
"(1, 1, 1)","(-9.00389425974518, 5.605890545191418, 4.019739324099035)","97","80","125","75","125","72","125"
|
||||
"(1, 1, 1)","(5.71803340743215, -0.1983825787949236, 4.3678940843762835)","98","76","125","88","125","94","125"
|
||||
"(1, 1, 1)","(6.148768016888294, -2.1729638282211834, 4.0963397855593024)","99","74","125","69","125","67","125"
|
||||
"(1, 1, 1)","(-8.070128411636206, 7.103383294584194, 4.128295134818701)","100","85","125","62","125","64","125"
|
||||
|
@ -1,101 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"(1, 1, 1)","(4.2381871678914695, -8.54495760751349, 3.5398235898407977)","1","65","125","72","125","82","125"
|
||||
"(1, 1, 1)","(-1.1114534640388065, -0.5309881324375496, 3.991767084947888)","2","90","125","90","125","91","125"
|
||||
"(1, 1, 1)","(8.847740791810132, 7.685010466393646, 4.445400677806465)","3","10","125","6","125","0","125"
|
||||
"(1, 1, 1)","(2.8344250328647824, -4.594687351870224, 4.485436733289965)","4","81","125","82","125","86","125"
|
||||
"(1, 1, 1)","(-0.6105228678560781, 0.07353901033497934, 3.656481642981239)","5","12","125","15","125","15","125"
|
||||
"(1, 1, 1)","(9.946071043017735, 4.203381322586388, 4.206408385425023)","6","12","125","6","125","0","125"
|
||||
"(1, 1, 1)","(6.677724533385586, 3.5522217735722954, 3.817295718493182)","7","5","125","5","125","2","125"
|
||||
"(1, 1, 1)","(-0.1841157915441567, 8.84051961201191, 3.6205414027055296)","8","25","125","23","125","15","125"
|
||||
"(1, 1, 1)","(7.55684758361236, -5.463733632773051, 4.060004452723817)","9","70","125","70","125","58","125"
|
||||
"(1, 1, 1)","(1.2851038134800863, -2.6121414947666803, 4.357029610601915)","10","80","125","84","125","64","125"
|
||||
"(1, 1, 1)","(3.526140412361137, -1.8587214094968711, 3.661371937568888)","11","10","125","10","125","10","125"
|
||||
"(1, 1, 1)","(8.105469351194447, 7.643913180785052, 3.5444098920040985)","12","7","125","5","125","0","125"
|
||||
"(1, 1, 1)","(9.502327601401056, 4.669531402067015, 4.2614784312212475)","13","26","125","17","125","10","125"
|
||||
"(1, 1, 1)","(-4.519848222634599, 7.9975780071880855, 3.633021227401195)","14","73","125","67","125","53","125"
|
||||
"(1, 1, 1)","(-1.7998580425960213, -1.6852191007069077, 3.5175084391094336)","15","55","125","57","125","57","125"
|
||||
"(1, 1, 1)","(0.5453801574105572, -6.366596859597882, 4.169338930772591)","16","61","125","64","125","64","125"
|
||||
"(1, 1, 1)","(1.4286007410894452, 7.259237283762321, 4.0087354337921655)","17","7","125","5","125","5","125"
|
||||
"(1, 1, 1)","(9.227850835945887, -0.45825691876483887, 4.118049761820166)","18","75","125","90","125","90","125"
|
||||
"(1, 1, 1)","(-1.2148723996275415, -6.320135357579262, 4.231390735632607)","19","58","125","60","125","60","125"
|
||||
"(1, 1, 1)","(-2.550751473280643, -9.27517883803884, 3.794668802945498)","20","50","125","51","125","52","125"
|
||||
"(1, 1, 1)","(-8.445776569153933, -2.0018394385970995, 4.211152488108537)","21","50","125","52","125","53","125"
|
||||
"(1, 1, 1)","(-7.116302582211677, -5.753255704505628, 4.107623288914122)","22","50","125","52","125","52","125"
|
||||
"(1, 1, 1)","(-8.650285060673188, -9.206693382410478, 3.614696804576042)","23","45","125","47","125","44","125"
|
||||
"(1, 1, 1)","(8.095049779222176, 8.292563345584409, 3.721435728113127)","24","89","125","100","125","95","125"
|
||||
"(1, 1, 1)","(3.322076983784614, 3.8143904592652085, 4.194638144259316)","25","0","125","0","125","0","125"
|
||||
"(1, 1, 1)","(-6.348136141375398, -9.494475346535538, 3.589578187736354)","26","53","125","51","125","48","125"
|
||||
"(1, 1, 1)","(-5.179777025353102, -2.071603567032181, 4.307893991026944)","27","57","125","60","125","57","125"
|
||||
"(1, 1, 1)","(4.225829631163116, 5.940100367945689, 4.375184057385841)","28","5","125","5","125","8","125"
|
||||
"(1, 1, 1)","(9.93085842539774, -8.7801908944135, 3.6630155520939294)","29","92","125","79","125","63","125"
|
||||
"(1, 1, 1)","(1.8846503676597415, 1.6516367263949405, 4.361226238171054)","30","2","125","0","125","1","125"
|
||||
"(1, 1, 1)","(8.781285700904036, -8.702816799129831, 4.0693735100308865)","31","99","125","84","125","64","125"
|
||||
"(1, 1, 1)","(-0.12216646110287144, 9.185539285721855, 3.881620215473926)","32","76","125","81","125","92","125"
|
||||
"(1, 1, 1)","(3.456996700526192, -0.23773889623836553, 3.5166043552469417)","33","0","125","0","125","1","125"
|
||||
"(1, 1, 1)","(-6.131318336234357, -9.186503096826248, 3.6386643915086143)","34","53","125","52","125","47","125"
|
||||
"(1, 1, 1)","(-6.00263421398652, -2.0277343925155815, 3.655764747483347)","35","52","125","60","125","55","125"
|
||||
"(1, 1, 1)","(-2.9414362355903334, -7.686890083559124, 3.643592153183162)","36","50","125","50","125","52","125"
|
||||
"(1, 1, 1)","(-2.4435262681468934, 7.022933909201544, 4.357226065446405)","37","76","125","73","125","77","125"
|
||||
"(1, 1, 1)","(4.526959808275443, -8.836160272758276, 4.24245736004511)","38","66","125","69","125","71","125"
|
||||
"(1, 1, 1)","(3.6403136685356756, 1.6268353657007388, 3.5458502437318766)","39","0","125","1","125","0","125"
|
||||
"(1, 1, 1)","(9.211091505837416, -6.108097893054875, 3.909880271531386)","40","69","125","66","125","59","125"
|
||||
"(1, 1, 1)","(0.3863583133879107, 3.7085795825335417, 3.885972479471385)","41","1","125","0","125","3","125"
|
||||
"(1, 1, 1)","(8.422884567347484, 9.210759810583248, 3.959001037362089)","42","57","125","64","125","69","125"
|
||||
"(1, 1, 1)","(0.33446965113562044, 4.758265943157438, 3.507619147078362)","43","5","125","5","125","2","125"
|
||||
"(1, 1, 1)","(0.25444017712360534, -8.214472896039789, 4.4292174023252775)","44","47","125","54","125","54","125"
|
||||
"(1, 1, 1)","(4.785068897944328, -6.719700754298598, 4.010723011691831)","45","90","125","90","125","81","125"
|
||||
"(1, 1, 1)","(-4.035992368653238, 7.799409974916816, 4.0260295795296575)","46","70","125","71","125","60","125"
|
||||
"(1, 1, 1)","(-7.515717553714795, -5.403659911227791, 3.8575145011186667)","47","55","125","53","125","47","125"
|
||||
"(1, 1, 1)","(-0.6282904407499412, -3.662624625206396, 3.782546620108751)","48","56","125","64","125","67","125"
|
||||
"(1, 1, 1)","(-1.4791315170969188, -9.828411382076936, 4.129642805648068)","49","49","125","52","125","48","125"
|
||||
"(1, 1, 1)","(6.904153003689256, -6.220681646408758, 3.6275132507910506)","50","93","125","84","125","67","125"
|
||||
"(1, 1, 1)","(8.524990037956638, 1.9912102690253537, 4.124076893370404)","51","80","125","89","125","95","125"
|
||||
"(1, 1, 1)","(-5.68997539793515, -3.1275977044269165, 3.589342639635605)","52","50","125","52","125","53","125"
|
||||
"(1, 1, 1)","(-5.039524451480258, 2.2866662488739404, 4.428491129551672)","53","87","125","75","125","79","125"
|
||||
"(1, 1, 1)","(8.049581248729286, 8.795812531583643, 3.887022405069562)","54","58","125","64","125","72","125"
|
||||
"(1, 1, 1)","(-9.361004774034056, -1.6526651486790414, 4.079502104314209)","55","49","125","51","125","47","125"
|
||||
"(1, 1, 1)","(6.528489339351715, -4.283453436380665, 4.282798238035854)","56","70","125","73","125","61","125"
|
||||
"(1, 1, 1)","(4.823697112343762, 6.060219444235866, 3.64395445997964)","57","3","125","1","125","0","125"
|
||||
"(1, 1, 1)","(2.4890894869003866, -2.411356460410339, 4.050668615672766)","58","90","125","88","125","65","125"
|
||||
"(1, 1, 1)","(3.1360683752006615, 7.006327220991157, 3.878346417324555)","59","27","125","15","125","10","125"
|
||||
"(1, 1, 1)","(5.809865363575952, 7.020857890906754, 4.094442323335167)","60","65","125","68","125","63","125"
|
||||
"(1, 1, 1)","(-9.573621787189532, 7.503791798940554, 3.900087317172885)","61","91","125","87","125","82","125"
|
||||
"(1, 1, 1)","(1.9482032408881516, 7.07079982574713, 4.071730343186192)","62","51","125","47","125","28","125"
|
||||
"(1, 1, 1)","(6.885399652093824, 4.489889126823268, 3.5892870328424387)","63","29","125","27","125","19","125"
|
||||
"(1, 1, 1)","(8.472091283038303, -4.592221550512454, 4.052122450890739)","64","70","125","67","125","59","125"
|
||||
"(1, 1, 1)","(-9.411229008995916, -5.868955518812021, 4.229312416719187)","65","48","125","47","125","46","125"
|
||||
"(1, 1, 1)","(-7.506966978552434, -5.79788236421773, 3.7797916719944804)","66","51","125","50","125","46","125"
|
||||
"(1, 1, 1)","(3.4525903126669526, 4.695837256048041, 3.64031408781229)","67","5","125","5","125","1","125"
|
||||
"(1, 1, 1)","(2.0771519157671356, 8.905949694503175, 4.2477967742600535)","68","60","125","75","125","83","125"
|
||||
"(1, 1, 1)","(-3.9883335951793946, 2.4615808939118224, 3.849649463617218)","69","95","125","87","125","83","125"
|
||||
"(1, 1, 1)","(-6.238207048188224, -7.528265365411107, 3.7467151520542137)","70","53","125","48","125","44","125"
|
||||
"(1, 1, 1)","(7.430351901216213, -5.066688069194278, 4.287673690001151)","71","68","125","66","125","60","125"
|
||||
"(1, 1, 1)","(0.997488549017838, -1.1571208526789594, 3.725865640720836)","72","90","125","90","125","65","125"
|
||||
"(1, 1, 1)","(-5.71084213172883, 9.032883497684693, 3.58945573395309)","73","70","125","65","125","59","125"
|
||||
"(1, 1, 1)","(2.770182993356185, -6.00588536172721, 3.6732363018949172)","74","71","125","73","125","79","125"
|
||||
"(1, 1, 1)","(9.15434478650851, -8.681269031199312, 4.317861609473894)","75","91","125","76","125","64","125"
|
||||
"(1, 1, 1)","(7.9552244972538375, 1.0862498669569494, 4.109967043847325)","76","71","125","90","125","91","125"
|
||||
"(1, 1, 1)","(9.817867987000447, -4.090937678170015, 3.9207151502439497)","77","65","125","64","125","54","125"
|
||||
"(1, 1, 1)","(3.3450893001563013, 5.988794742560037, 3.9986599354313537)","78","2","125","2","125","0","125"
|
||||
"(1, 1, 1)","(8.136722439101653, -9.254565019158207, 4.147575510698235)","79","81","125","57","125","54","125"
|
||||
"(1, 1, 1)","(2.279210778600355, -6.811464435562131, 4.198621677027739)","80","65","125","73","125","75","125"
|
||||
"(1, 1, 1)","(-5.2923730788139896, -8.805369387240361, 4.3259096988996335)","81","49","125","46","125","47","125"
|
||||
"(1, 1, 1)","(3.8264161050018597, 4.932583335890504, 3.517764330617813)","82","5","125","5","125","4","125"
|
||||
"(1, 1, 1)","(2.5521253705468645, -4.502027025009843, 4.0446084501564545)","83","95","125","86","125","80","125"
|
||||
"(1, 1, 1)","(-1.1874243760730288, -9.179612589834692, 3.5445456252175327)","84","47","125","53","125","47","125"
|
||||
"(1, 1, 1)","(0.9165319705665169, 2.9455448108804205, 3.895196543005452)","85","4","125","5","125","3","125"
|
||||
"(1, 1, 1)","(8.201668529933972, -6.60466216428492, 3.7110419584387273)","86","83","125","77","125","69","125"
|
||||
"(1, 1, 1)","(7.784814076727898, -4.012147657385972, 4.2881353696032445)","87","70","125","69","125","60","125"
|
||||
"(1, 1, 1)","(7.778770274327968, -5.063026605041674, 3.7394370254059033)","88","69","125","68","125","62","125"
|
||||
"(1, 1, 1)","(1.6617228789553238, 2.584780756192684, 3.991927191129446)","89","1","125","0","125","0","125"
|
||||
"(1, 1, 1)","(0.4933372391612938, 6.317176604723706, 4.109882111880916)","90","84","125","102","125","99","125"
|
||||
"(1, 1, 1)","(2.23365729978277, -7.45571883924641, 4.4065401617624795)","91","67","125","70","125","74","125"
|
||||
"(1, 1, 1)","(7.631591872287167, -5.74704105730488, 4.396210779838162)","92","70","125","68","125","59","125"
|
||||
"(1, 1, 1)","(0.32851797971044405, -0.17816723938549472, 4.136947394522084)","93","90","125","89","125","65","125"
|
||||
"(1, 1, 1)","(-3.217365526878657, 5.201272818313967, 4.016918745658057)","94","74","125","75","125","63","125"
|
||||
"(1, 1, 1)","(1.8632125404421593, 9.680499392300387, 3.694668254293287)","95","66","125","67","125","77","125"
|
||||
"(1, 1, 1)","(0.28411366391812365, -3.621115804554562, 4.424624418551081)","96","73","125","75","125","87","125"
|
||||
"(1, 1, 1)","(5.713326420131132, 0.8635330148675138, 3.55537347069178)","97","24","125","14","125","10","125"
|
||||
"(1, 1, 1)","(4.4204965208341385, 8.400655404011744, 4.176107212365751)","98","60","125","69","125","74","125"
|
||||
"(1, 1, 1)","(-4.939213802067188, 7.707952002863475, 3.696652955230099)","99","69","125","69","125","62","125"
|
||||
"(1, 1, 1)","(9.9862392385641, -1.206360375570668, 3.6648882353169143)","100","59","125","59","125","59","125"
|
||||
|
@ -1,101 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"(-3.8654434092874297, 4.588824927249814, 0.03214088746615801)","(-6.5997402727611405, 3.6269675997855995, 3.9889686407024962)","1","246","4500","305","4500","376","4500"
|
||||
"(1.5247165192636394, -0.07174353894123668, -5.802593592567445)","(-0.34770009978564786, -3.4516942495395497, 4.346202795627628)","2","42","4500","50","4500","18","4500"
|
||||
"(0.9223707083487402, -2.313942251552401, 5.458470805350235)","(8.655164557524074, 3.076722641556536, 4.065023662958968)","3","1063","4500","1088","4500","1205","4500"
|
||||
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||||
"(-2.9075971424533056, -4.676716977549941, 2.3820573395897737)","(5.940762588803443, -8.241068601819336, 3.9818079754591746)","93","3576","4500","3636","4500","3724","4500"
|
||||
"(-2.108993328078004, 4.86720393137815, 2.804010169828123)","(4.644735315514959, -8.662162538306484, 4.4659990322252545)","94","3256","4500","3312","4500","3433","4500"
|
||||
"(-4.378765090008773, -4.033861915638784, -0.7445631820600922)","(0.8965430635912028, -7.068063956925988, 3.5241425811022458)","95","1047","4500","1022","4500","1100","4500"
|
||||
"(-0.2297417441228671, 3.0859119852036727, 5.140463592963548)","(7.812600610139974, 0.07672311840929602, 3.96105948421053)","96","3829","4500","3876","4500","3924","4500"
|
||||
"(4.1756236632672845, 0.729028772409194, -4.2464907949696356)","(-0.34149696737257607, 1.7931550588818919, 3.60153908290179)","97","160","4500","94","4500","0","4500"
|
||||
"(-0.6024071564748765, -5.055862271078468, 3.1741711223110074)","(1.7326478391472584, -5.34375322067822, 3.5643838607816405)","98","660","4500","586","4500","486","4500"
|
||||
"(5.2261807672024165, -2.4538972308330513, -1.6326123143702653)","(3.7725451324644776, -2.6612703827487483, 4.264041588099493)","99","1518","4500","1646","4500","1849","4500"
|
||||
"(0.02426601483941644, -0.7278873373928121, 5.955635246099867)","(4.341041577437254, -9.362105601609594, 3.9879593115652656)","100","3454","4500","3510","4500","3585","4500"
|
||||
|
@ -1,52 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"(-5.146078951448784, -2.0883483866572905, 2.2708307822032188)","(5.7118449896659325, 8.758352476410352, 4.0707564194038355)","1","350","4500","404","4500","434","4500"
|
||||
"(0.1826355155288263, 1.0281597237671887, -5.908428881766328)","(-6.528487540094973, -3.469941377823287, 4.0486102533959745)","2","654","4500","745","4500","773","4500"
|
||||
"(3.151903411885667, -3.7282442684528334, -3.4879362891102366)","(-5.115222248643018, 9.317099028735736, 4.253941103847242)","3","410","4500","466","4500","494","4500"
|
||||
"(2.137014861785858, -1.736153282692272, 5.330941685997252)","(-1.0962048817401655, -6.8852232023112965, 4.262531529471935)","4","612","4500","692","4500","784","4500"
|
||||
"(2.0135560039418388, -5.599732358770172, -0.7671960174114706)","(7.470280887586071, 6.992414381733138, 3.6818770151162012)","5","441","4500","491","4500","454","4500"
|
||||
"(-4.755830332454118, 2.40764993504292, -2.7541422692368616)","(2.75061801793856, -8.021908123172516, 3.6618975284064907)","6","861","4500","886","4500","856","4500"
|
||||
"(-5.289141074590477, -1.9580381856903049, -2.047211067881986)","(4.458166341547932, 5.408963297439879, 4.061574312287274)","7","70","4500","76","4500","64","4500"
|
||||
"(-5.402781828604757, -2.251749423702666, 1.3189287491570372)","(-0.9763191475459223, 2.5525053556013795, 3.6931398686621)","8","18","4500","18","4500","0","4500"
|
||||
"(-1.9041878995539228, 5.347548814593236, -1.943653806297532)","(-8.893603530317417, -6.424928439067172, 4.07564515283751)","9","3117","4500","3177","4500","3298","4500"
|
||||
"(1.1387365044874795, -3.5494394566036473, -4.701569814142171)","(-4.963972017712193, -6.329386645312138, 3.6808531137438374)","10","3653","4500","3701","4500","3718","4500"
|
||||
"(5.658460561343985, -0.336564849288305, -1.966862521361941)","(-9.878372582592387, -7.560974744024522, 3.805654819129096)","11","789","4500","764","4500","862","4500"
|
||||
"(3.061611342668248, -5.06099645310447, -1.0064049324745568)","(-1.1911951100508151, 1.5887827390990257, 4.267909424108423)","12","84","4500","60","4500","14","4500"
|
||||
"(3.6107525669071356, 4.786343759463203, 0.2310396433973587)","(-7.403909066125025, 7.351783561203526, 4.48173625741299)","13","3689","4500","3714","4500","3682","4500"
|
||||
"(-4.051428655294408, -1.1540794611579936, -4.272473106807417)","(-9.79705453936489, -6.748890832418192, 4.073896643626335)","14","3208","4500","3303","4500","3384","4500"
|
||||
"(-0.3853541545967884, -0.592709406760271, -5.9582042374085225)","(6.068615920189316, 3.7859560956857443, 3.679594872733419)","15","122","4500","106","4500","56","4500"
|
||||
"(4.345203073241612, -3.8911407766206896, 1.4064969636694542)","(-4.531944143715101, 8.978293236370657, 3.736704189366533)","16","425","4500","508","4500","592","4500"
|
||||
"(-3.5431671700565786, -1.730264209679146, 4.522405573335574)","(3.098736120179204, -1.1374675969792598, 4.302927616545164)","17","56","4500","46","4500","8","4500"
|
||||
"(-2.603787914272706, -4.333711166266549, 3.230980659933454)","(-8.710604232359634, 6.537785695717162, 3.766607715137483)","18","3529","4500","3579","4500","3656","4500"
|
||||
"(4.62676278402472, 3.770807716509253, -0.6116169597698412)","(9.908785212758048, -5.284835742672607, 3.910385363652349)","19","3817","4500","3856","4500","3868","4500"
|
||||
"(-1.530188247794053, -5.020915064431004, -2.90670532426023)","(-1.8211386779417378, -5.539199677774887, 4.478321915861116)","20","912","4500","958","4500","1155","4500"
|
||||
"(-1.4706438615829684, 1.4167927238208045, -5.641799802378383)","(1.0916873382449523, -3.371561791085293, 3.988619504589689)","21","102","4500","92","4500","70","4500"
|
||||
"(4.6597816163539, -3.089713862001387, 2.177177884061545)","(7.02589027856019, 5.193748634956638, 4.468986018897996)","22","340","4500","378","4500","376","4500"
|
||||
"(2.922679604852735, -3.0345019741125125, 4.271971640412086)","(5.231648244406987, 2.807017515925912, 3.887053615466796)","23","152","4500","60","4500","12","4500"
|
||||
"(3.7642314905524583, 3.7486918254672736, -2.7888834474047233)","(-0.6398283319324332, 6.336481471624758, 4.453523506207376)","24","3787","4500","3828","4500","3835","4500"
|
||||
"(0.37470308666602764, 5.5030174019422855, -2.3614396182759636)","(7.525734516008228, 3.7886610555151883, 3.6396567545729077)","25","780","4500","772","4500","815","4500"
|
||||
"(-5.05356024398778, 2.7431850978909726, -1.713611501798193)","(9.509470226737335, -6.062409996453145, 3.805920033451089)","26","569","4500","629","4500","744","4500"
|
||||
"(-2.851715356394139, 0.536948059829984, 5.251609877661389)","(-0.4502081663538675, 7.299831689813555, 4.29737427493299)","27","264","4500","240","4500","242","4500"
|
||||
"(3.843912170449833, -3.9018402128038376, -2.4494861052095303)","(8.516789990691965, 4.0786443933067495, 4.072745468543536)","28","3781","4500","3806","4500","3846","4500"
|
||||
"(-2.984099390088263, 4.402829249844458, 2.776732869180784)","(-1.6353200222266207, 9.745994661133754, 4.268777656566264)","29","262","4500","336","4500","308","4500"
|
||||
"(-3.9566718519091975, -4.0298751930952745, 2.0260438752368537)","(4.781003685838364, 9.282405846747295, 3.671489963483835)","30","386","4500","437","4500","526","4500"
|
||||
"(5.153334790333756, -1.6681947031783775, -2.5807493041795726)","(2.000914949684775, 5.28174350212268, 4.278392582094383)","31","185","4500","134","4500","62","4500"
|
||||
"(-2.6752059546928453, -4.504386909065939, 2.924683174877467)","(1.0204764932076138, 2.0764229249428094, 3.660867830066426)","32","14","4500","8","4500","0","4500"
|
||||
"(-4.003837762377782, -3.9457022863267706, -2.0977885117984068)","(2.61841259932317, -5.741324632683373, 3.665431397073997)","33","687","4500","650","4500","732","4500"
|
||||
"(-2.5028132242672045, -1.7107620518759423, -5.177761984322417)","(-8.325502760761356, 0.5029319935259675, 3.5795031621061653)","34","3341","4500","3408","4500","3477","4500"
|
||||
"(1.225841764364421, -5.342659577680945, -2.4399386479487535)","(2.858469506102331, -9.961449817326102, 3.7338170929925467)","35","782","4500","765","4500","832","4500"
|
||||
"(-4.105401513774097, 3.1301574017951763, -3.0574160741855594)","(7.588795618605793, -9.377429983831778, 4.279670298094493)","36","771","4500","733","4500","859","4500"
|
||||
"(-3.1943427533315405, -3.5135448198180868, 3.667584651152275)","(2.535731339610141, -5.229849321069111, 4.130044061051256)","37","500","4500","454","4500","400","4500"
|
||||
"(-0.20303489855399875, 2.845577412436964, 5.2783961598006)","(-0.9795742753401626, 4.2688067748034175, 3.561298185109722)","38","74","4500","34","4500","0","4500"
|
||||
"(-3.690370504812313, -4.481219208027189, -1.5165223199212992)","(1.7225417342215295, -4.757610718790318, 4.219835995404535)","39","505","4500","527","4500","681","4500"
|
||||
"(3.2130500000037223, -4.054543541749982, 3.039241083811812)","(4.7106183457566875, -7.438725175717298, 3.590261196296617)","40","700","4500","675","4500","747","4500"
|
||||
"(-1.6656968636412939, 4.998246006960933, -2.871060921045503)","(5.962649166225681, -0.7405581393765992, 4.246717503672539)","41","181","4500","135","4500","122","4500"
|
||||
"(3.5388732597984873, -1.5001559586074296, 4.60715835965488)","(0.7817244991623475, -0.9459862053080936, 3.527068949202042)","42","26","4500","14","4500","0","4500"
|
||||
"(5.759955572420505, -1.1111754314359588, -1.260238455338942)","(1.920314876496514, 4.120249391738122, 4.0058157808073664)","43","148","4500","116","4500","88","4500"
|
||||
"(-2.2680852447870845, -5.059426219553364, 2.29303197781345)","(5.364736899982709, -1.0442280145803196, 3.626248147086193)","44","266","4500","264","4500","198","4500"
|
||||
"(2.268810894525279, -5.255508518335864, 1.7978118195691617)","(-8.564090567419475, -9.646117394394336, 3.5770776272966893)","45","3525","4500","3629","4500","3727","4500"
|
||||
"(5.133783910967144, 1.0529041521033482, -2.921584433484412)","(6.079943111229337, -4.6780799132338196, 3.636653064521837)","46","4079","4500","4117","4500","4148","4500"
|
||||
"(-2.461287989536521, 5.314925513346015, -1.301394721115338)","(-4.245750548711564, 7.953868833985336, 4.355153056017695)","47","759","4500","798","4500","922","4500"
|
||||
"(4.47657437737297, 1.8640940216390045, 3.5334735491209677)","(0.5041655679443284, -2.5501967627138384, 4.372920418097924)","48","804","4500","862","4500","946","4500"
|
||||
"(-4.434297028614781, -3.6456926960607845, 1.7452606189068667)","(2.1898302758754546, 1.7131640003975583, 4.497390391342189)","49","172","4500","112","4500","74","4500"
|
||||
"(2.4271384589657075, 5.426928924253033, -0.8108275723699702)","(-0.08396484086161671, -0.5653795426164621, 4.307593166986907)","50","54","4500","20","4500","22","4500"
|
||||
"(-0.9981851942875225, 3.1105265886446376, 5.032718019046958)","(-1.0517628195311257, 4.211578826588326, 3.946468136828034)","51","78","4500","44","4500","8","4500"
|
||||
|
@ -1,101 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"(-0.4924943105100771, 5.470433205227267, 2.4149140567030805)","(-8.82716089900547, 3.405475211622008, 3.5268919005297903)","1","72","4500","98","4500","136","4500"
|
||||
"(-4.536359083943439, -3.8724205865200427, 0.6525374032341827)","(-6.728701201583371, -6.740984024615251, 4.409425339976373)","2","78","4500","198","4500","240","4500"
|
||||
"(1.3720316797067602, 0.12573001259876987, 5.839667887287167)","(-0.2325662146642884, 2.3917726165882147, 3.9578767077887345)","3","28","4500","16","4500","0","4500"
|
||||
"(-3.403342911706915, -3.6161198587934873, 3.367630352662488)","(-0.6932193001616209, 4.63424830410435, 4.44811082029482)","4","114","4500","148","4500","102","4500"
|
||||
"(1.4167691914527418, 2.0289808219019516, -5.46589442657873)","(7.526155655428969, 0.020688870750811716, 3.887111689375856)","5","348","4500","370","4500","354","4500"
|
||||
"(3.0118338785684817, 4.609657286871755, -2.383257515565044)","(-0.07540884723347752, -0.6512056059261084, 3.6898607071326808)","6","20","4500","8","4500","0","4500"
|
||||
"(3.348883571733228, 3.884957134971315, -3.1132116668178487)","(1.4368533813428446, -1.5580871445569038, 4.03983243794975)","7","30","4500","12","4500","0","4500"
|
||||
"(1.253349842581684, -5.605257626971016, -1.7349931145061412)","(8.808443140909084, -1.8425574879990378, 4.151155713430113)","8","361","4500","349","4500","333","4500"
|
||||
"(-5.76820736905468, -1.4261832343907535, 0.8329376504433101)","(-8.764634415331287, -8.644857469792775, 3.7708524311627016)","9","158","4500","217","4500","275","4500"
|
||||
"(5.27187362215436, 0.8672155426802954, 2.7304369090983927)","(4.01769877491882, 2.643511324456071, 4.278182814338086)","10","38","4500","30","4500","6","4500"
|
||||
"(5.1166647249900326, 3.0685004358913948, 0.6356470459122728)","(8.12869264424602, 8.384690855850398, 4.4402279984857795)","11","148","4500","208","4500","234","4500"
|
||||
"(3.478964354883419, 2.9934774301926583, 3.8646991981754235)","(-4.5316445039719255, -9.207566405729137, 3.772500135376278)","12","364","4500","254","4500","190","4500"
|
||||
"(-3.441712179901475, 4.481079692411568, -2.0185494943088425)","(-8.926811786863047, -6.3318867676919055, 4.031635371094273)","13","3692","4500","3741","4500","3760","4500"
|
||||
"(3.2997775461241865, -3.426183949376435, -3.656874579628065)","(-5.725258740872703, -0.6946342423340681, 4.319710083288106)","14","52","4500","88","4500","58","4500"
|
||||
"(3.6201689924250817, 2.873872950502327, -3.8256020089202973)","(0.7605605679043634, 4.2350271099916466, 3.7748571318754545)","15","80","4500","96","4500","44","4500"
|
||||
"(4.361312322946934, 4.1171749743028485, -0.16680843109851048)","(4.944980518793098, -4.356864538049081, 4.148328484735437)","16","224","4500","194","4500","140","4500"
|
||||
"(2.425717092471711, -2.708030077119033, -4.773098541692731)","(-6.454425227999481, -2.3786811694973746, 3.732666060068501)","17","236","4500","207","4500","66","4500"
|
||||
"(-5.649246814988758, -0.3238442223785377, 1.9952782620405138)","(-1.070665312858507, -5.900017540107154, 3.9167585913067606)","18","312","4500","226","4500","152","4500"
|
||||
"(-3.9295959282726773, -2.582248485402618, -3.7269650655913966)","(-5.893208462269213, 2.583188421632048, 4.088007349750527)","19","387","4500","360","4500","296","4500"
|
||||
"(-5.384692352669303, -2.644740923720223, 0.10214555058460795)","(-0.10512161891682581, -9.532519484866182, 3.731669052272638)","20","359","4500","350","4500","394","4500"
|
||||
"(-4.258414060970009, -3.713747400528443, 2.0184127254853386)","(1.0357830477229601, -4.053229588024165, 3.843282867132229)","21","80","4500","30","4500","0","4500"
|
||||
"(-4.585941122783429, 1.638698722513375, 3.504826745389406)","(-1.2806314733613196, -7.8556071647949395, 4.149506641904448)","22","416","4500","360","4500","322","4500"
|
||||
"(-0.3367455219290501, 4.160116806024978, -4.3104559635483195)","(-1.2908288519622175, 0.8756603237181899, 4.312499350641364)","23","46","4500","26","4500","0","4500"
|
||||
"(-0.3159995948797116, -4.866901911530718, 3.49476895367555)","(9.040556537141388, 6.939743120833313, 3.815786366815676)","24","3198","4500","3282","4500","3380","4500"
|
||||
"(-5.593458833499495, 1.730241063526915, -1.3112910203428207)","(1.0776509435927792, -3.8053883792988135, 4.048006723839417)","25","148","4500","64","4500","50","4500"
|
||||
"(0.509709395364925, -3.052615123304819, 5.140207898640621)","(7.135547268689589, -1.1587566500793312, 4.230871916454977)","26","180","4500","156","4500","154","4500"
|
||||
"(-3.8830315143865204, -3.2987820395303418, -3.168612206306282)","(2.590108091383275, -6.952532711332962, 3.9033102916570903)","27","382","4500","434","4500","399","4500"
|
||||
"(-4.3074533629321765, 2.4891777217076596, -3.354078084350236)","(-6.226754702956539, -0.11450701265897933, 3.7173440021011555)","28","308","4500","288","4500","272","4500"
|
||||
"(3.054365582492734, -4.8564654632206805, 1.7565859196260676)","(5.35848941539915, 1.4373192821600522, 3.7939842060961833)","29","180","4500","116","4500","88","4500"
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
|
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@ -1,361 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
"(4.232351718077982, -2.5284726836657296, -8.230222943876477)","(-0.43363503740562237, -5.277756836976906, 3.522799246981918)","359","1446","13500","1604","13500","1814","13500"
|
||||
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|
||||
|
@ -1,101 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"(-8.394403299734375, -2.741796202195128, -4.607934528693184)","(0.6990690716183998, -8.96155114863804, 3.798412465313307)","1","2937","13500","2899","13500","2682","13500"
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"(-3.936245090106337, -6.3731961312399354, -5.419640087611273)","(-8.411712473068793, 6.918676208391027, 3.8461565255620287)","99","6823","13500","6866","13500","6825","13500"
|
||||
"(3.051924711775824, -6.276447172511237, -0.09037163146027993)","(-8.886064716667534, 7.797749161418274, 3.5432018002900447)","100","1062","13500","1304","13500","1421","13500"
|
||||
|
@ -1,335 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
|
@ -1,101 +0,0 @@
|
||||
"dipole_mom","dipole_loc","dipole_freq","low_success","low_count","medium_success","medium_count","high_success","high_count"
|
||||
"(-6.850783298576002, 3.8672797767180156, 2.521237536481632)","(-8.278661205725712, 2.259405317398567, 4.488751992258035)","1","228","13500","257","13500","246","13500"
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
"(4.554498247626624, 4.600708202841071, -3.8937809895553843)","(3.6151719041890367, -0.4764692784178042, 4.225233949280639)","25","232","13500","194","13500","168","13500"
|
||||
"(-4.111905401592049, 0.9011895595890489, -3.34179206272522)","(-3.9669864759348172, 4.707167813776884, 3.9878684874025017)","26","828","13500","922","13500","1044","13500"
|
||||
"(-0.497192140175423, -1.7306275181709414, -4.415664053456601)","(9.711389476810076, 6.573173531600133, 4.048112572977924)","27","878","13500","958","13500","1030","13500"
|
||||
"(-7.3253368976959, 0.49644226810568437, -6.349150415538705)","(-2.4627341715642403, 9.292230778033481, 3.9468752515419143)","28","946","13500","1006","13500","1050","13500"
|
||||
"(-0.8946927756183363, -5.198083755955917, -2.3153453909014994)","(4.869439251312816, 7.254979294459318, 3.994471933037123)","29","706","13500","590","13500","582","13500"
|
||||
"(4.082144704316512, 4.664608743863094, 4.235355588260455)","(2.035387018390608, -2.988448980253069, 4.2591531931768)","30","198","13500","128","13500","80","13500"
|
||||
"(-4.601264270572928, -3.3790975285983262, 0.8670050191872227)","(-9.299747479186882, 7.801172590194891, 4.106726084951476)","31","7391","13500","7417","13500","7306","13500"
|
||||
"(8.381666577641283, -0.6722806080944809, -5.127237646150611)","(4.66881408752643, 7.686827168747655, 3.525367400992154)","32","792","13500","908","13500","930","13500"
|
||||
"(0.4672761718884333, 7.7965583919340755, 5.071935618690248)","(6.609880840485388, 5.951485228883202, 3.9324768255162215)","33","406","13500","461","13500","278","13500"
|
||||
"(6.096434403498517, -5.541840228789448, -5.12389198669023)","(-5.298088138652166, 5.4809854708047805, 3.889232371486873)","34","185","13500","216","13500","75","13500"
|
||||
"(4.438751991505064, -3.053442264961545, 1.5265869017039293)","(-1.081912773969444, -0.5414252727062756, 3.5104293084915676)","35","100","13500","50","13500","2","13500"
|
||||
"(1.87318049195485, -0.18513532972091915, -1.6897925742099407)","(-4.816832905958028, 8.70381589239945, 3.602949040877079)","36","7389","13500","7373","13500","7222","13500"
|
||||
"(4.001840258776381, -2.8721731750723904, -5.757493406940567)","(-0.4567861990806481, 9.89366647469566, 3.9242886345825023)","37","534","13500","596","13500","542","13500"
|
||||
"(-1.2093120176328347, 4.633975780704151, 4.620874576458164)","(3.1741290401304134, 5.525705831785999, 3.9955266731654593)","38","458","13500","419","13500","88","13500"
|
||||
"(1.0155623841282715, 6.597620660169368, 6.9153330866419855)","(3.967859251287182, 6.390298140864029, 4.152825624261165)","39","264","13500","334","13500","120","13500"
|
||||
"(-1.189791473199947, 6.034137738427186, 0.8455321802576686)","(-0.24652286801546452, 5.2973098299745285, 3.5546192538524104)","40","202","13500","166","13500","68","13500"
|
||||
"(-5.258852833662551, -3.027609795107834, -3.21268266010587)","(5.727253225831177, 3.1069234849050904, 4.058186316313831)","41","266","13500","287","13500","135","13500"
|
||||
"(-3.0910927882609296, -3.885638605121799, 6.064756835566167)","(0.9930198895885454, -5.510281705060391, 3.603380940207796)","42","164","13500","90","13500","74","13500"
|
||||
"(-8.03980103752315, -5.896353697794154, -0.4829903306474137)","(-4.69012677465678, 9.750499401856917, 3.5151008568288287)","43","874","13500","909","13500","1061","13500"
|
||||
"(7.4283261618365, 1.859531178410365, 0.9596232083516171)","(3.083173909924664, 0.9049986869893178, 4.194106270896182)","44","170","13500","105","13500","48","13500"
|
||||
"(-1.881826875716973, -0.025500010095984744, 5.641195377165518)","(6.410855738415265, 0.3988780490654342, 4.10675281467765)","45","542","13500","586","13500","649","13500"
|
||||
"(-8.934618040841507, 2.9822506705380984, 1.5515454240073125)","(8.77389154231783, -5.702985582072786, 3.5403188378699393)","46","582","13500","571","13500","437","13500"
|
||||
"(-4.864422425348481, -3.2270331390457523, 5.12203821920867)","(8.362507118291973, -0.6330365919771452, 4.299920836596095)","47","7179","13500","7345","13500","7340","13500"
|
||||
"(-3.095578774704276, -3.977240408335447, -7.019581030545506)","(-5.279284660898657, -0.3376257492255661, 3.915549050398985)","48","462","13500","299","13500","188","13500"
|
||||
"(6.083554573649512, -4.518216415951197, 3.0544302234603613)","(-1.741125041519286, -9.971890093513885, 4.058231426664835)","49","738","13500","776","13500","787","13500"
|
||||
"(4.230149390801787, 1.0778327693004341, 4.07272269237272)","(8.114914484820762, -2.111628226586097, 3.9152792936399714)","50","510","13500","554","13500","490","13500"
|
||||
"(-2.610048585734672, -4.309299573217149, 4.989834391235922)","(-7.281487833888061, -1.5666310382053403, 3.772728779580569)","51","346","13500","310","13500","276","13500"
|
||||
"(5.8590331169612995, -2.162739517271437, 5.936411011823773)","(0.8145188429092904, -9.236208090540556, 3.9492358062664814)","52","606","13500","686","13500","656","13500"
|
||||
"(-4.806232250792559, -4.973043349482819, -3.5730488609636706)","(-1.7244190085469064, 1.8976656364534978, 3.7138867127983994)","53","112","13500","58","13500","2","13500"
|
||||
"(-0.11560643209619276, -3.3983848181426115, -4.998609856983709)","(5.587981412055722, 4.755927597447652, 4.211015338279975)","54","652","13500","546","13500","430","13500"
|
||||
"(-6.468749240493835, 1.0864047061722828, -5.6692056620142885)","(-3.409947215624749, -3.8367891906388474, 4.248122923978567)","55","496","13500","370","13500","228","13500"
|
||||
"(-6.928769247583264, -0.6537078828457988, 3.27193808063573)","(-1.336068598356018, 7.662405395597936, 3.7298442958898956)","56","738","13500","705","13500","668","13500"
|
||||
"(-0.30514811156108035, 4.254110073118281, 4.349703411282274)","(-6.711576279462617, 4.564690749814712, 4.360290985196982)","57","632","13500","690","13500","687","13500"
|
||||
"(-8.516610138145223, -3.7732779634191282, 3.4586200613342375)","(-7.645025129942351, -1.4842753536094868, 4.109419032883552)","58","181","13500","125","13500","104","13500"
|
||||
"(4.276160573107464, 4.558824172820125, 3.388586480263936)","(3.8027301425965305, -7.249703779541685, 3.843349934991524)","59","7858","13500","7932","13500","7994","13500"
|
||||
"(0.025809733390531633, -0.2718749287632887, 0.20771474376373666)","(-2.4509723510655634, 8.341455752304825, 4.167572656472121)","60","7180","13500","7255","13500","7284","13500"
|
||||
"(3.953015516512941, 6.395559127441576, 5.0067520881222265)","(5.261889625462864, 8.581359736287105, 4.089930730708499)","61","510","13500","526","13500","400","13500"
|
||||
"(5.843908540453224, -1.4652356981440369, -0.7460519653750389)","(6.798310660219119, -3.0948794392888708, 4.4782402950010605)","62","496","13500","636","13500","636","13500"
|
||||
"(1.4406754467551626, 3.7736857673341824, -2.353574631774868)","(6.407177631951836, -3.45392726127991, 4.094153397945572)","63","871","13500","862","13500","966","13500"
|
||||
"(3.827771677212189, -5.221043972119944, 5.1942021087423385)","(1.1704164832613557, -9.030340709264696, 3.8630994780857977)","64","334","13500","296","13500","324","13500"
|
||||
"(-2.1495551832476965, 5.263226774969989, -4.18252134785729)","(-6.026304240915284, 4.981856550937064, 3.812548759801076)","65","705","13500","804","13500","950","13500"
|
||||
"(3.5555344678680383, -1.9701791636882857, -5.761628300627642)","(-2.759816176312957, -0.32471472535346635, 3.5520069771684506)","66","26","13500","8","13500","12","13500"
|
||||
"(7.490079331047841, 5.122441424414924, 0.5356474515925685)","(-5.543653310018772, 0.007222020652395855, 3.652647624982771)","67","328","13500","293","13500","150","13500"
|
||||
"(-2.1875336792452043, 6.590312300497235, 6.4764582147160645)","(8.02581245819987, -9.865831152330758, 3.5371232627208213)","68","2537","13500","2915","13500","3427","13500"
|
||||
"(-5.58792635239259, -4.518379684399012, 1.7463991551578224)","(-5.047184017783513, -8.156251217842359, 3.582788398536023)","69","434","13500","502","13500","552","13500"
|
||||
"(-6.67394466185727, 3.1736875781447305, -6.605470238345689)","(1.9618507453867924, -0.5649649004009145, 3.52331511790374)","70","6","13500","0","13500","0","13500"
|
||||
"(2.5491847134448133, 5.514051377060903, -1.031119585853496)","(-2.2565843780442307, 0.8859760974172133, 4.350333952654557)","71","250","13500","245","13500","118","13500"
|
||||
"(0.5929021371494657, 4.990809492999204, -8.311234549272422)","(-1.630211299540015, -5.594345141475379, 4.482251541073612)","72","222","13500","65","13500","36","13500"
|
||||
"(5.7630333510179135, -4.676490398683823, 4.467599483207196)","(7.670051054870058, 3.8597101152163997, 3.5896113387431967)","73","750","13500","699","13500","518","13500"
|
||||
"(-2.4933634433642307, 1.4676412995599122, 3.80534753502223)","(4.7403408246407395, -1.3956152940800433, 4.25353704889906)","74","686","13500","710","13500","700","13500"
|
||||
"(3.3630743176995423, -6.563378423173714, 5.193062357310771)","(2.982579239386986, -4.599014675805653, 4.310223845510048)","75","193","13500","158","13500","44","13500"
|
||||
"(-3.6277367750028624, 0.6284796123073315, -6.602750662318607)","(-2.0780655532517134, -6.901138598304923, 4.065353356206464)","76","652","13500","582","13500","598","13500"
|
||||
"(-0.8618018724649699, -8.551979295473823, 0.06641654828766708)","(-0.28884734431912484, -6.79547090169857, 4.235306376913744)","77","318","13500","257","13500","264","13500"
|
||||
"(0.5979304120339819, 0.47291321668101377, -1.6585554843629164)","(8.946604531179943, -8.660530453171456, 4.267222524204302)","78","7159","13500","7085","13500","7189","13500"
|
||||
"(1.4436444532772903, 3.3814732795771705, -0.02063743532754671)","(7.240810403121408, -2.572512989481293, 3.7494143484129445)","79","7289","13500","7309","13500","7272","13500"
|
||||
"(0.4530798120816171, -0.49360875257380776, 5.042529181442286)","(-9.797437300983953, 5.633229181236242, 3.8253231522775395)","80","7033","13500","7066","13500","7036","13500"
|
||||
"(-4.766256883317555, -6.162992170844254, 3.3159427411297613)","(7.956354880222278, -2.3541241887554136, 4.468109412706367)","81","7486","13500","7560","13500","7476","13500"
|
||||
"(2.314091732149603, -1.7657907906189174, 0.2561074906978001)","(-4.790779946892156, 9.213796118166652, 4.146101062451788)","82","7467","13500","7454","13500","7499","13500"
|
||||
"(4.245276380947868, -4.902419216462027, -1.5979869927105586)","(9.931723276214061, 9.236351163344501, 4.488324360670476)","83","7166","13500","7116","13500","7139","13500"
|
||||
"(-4.729469655456981, -1.3188466949110143, -1.3335896907937694)","(-0.9832687249386289, -5.652420345093782, 4.439433226875307)","84","767","13500","864","13500","962","13500"
|
||||
"(3.669561924388681, -3.8342675614277306, 0.5799717786854995)","(-4.245479840003954, -3.6338724163936202, 4.105193964920901)","85","4472","13500","3921","13500","3186","13500"
|
||||
"(-7.636138994177956, 3.26638785120706, 0.6262151898365951)","(4.165091975668107, -0.20167649798236376, 4.053410275750543)","86","190","13500","134","13500","66","13500"
|
||||
"(-1.1770139454005508, -1.1570199740708087, 0.5713461940060183)","(3.502903148912271, 5.227638802100881, 3.5197149338992295)","87","7527","13500","7509","13500","7483","13500"
|
||||
"(6.103031461155982, -4.544886265810977, -0.07601984942266422)","(-6.010041557023131, 1.4872371731791212, 4.441399468687054)","88","350","13500","424","13500","413","13500"
|
||||
"(-2.8622874781156256, 3.842823763836172, 2.9423163357785116)","(-8.022414533382005, 7.508694032290595, 4.018055852704525)","89","748","13500","823","13500","972","13500"
|
||||
"(-2.158184388467555, 6.9910814317839245, -4.128367065919884)","(8.541788973411755, -2.899745392643622, 4.080023080045066)","90","583","13500","614","13500","684","13500"
|
||||
"(-2.647541814837784, -5.922926857516522, -7.1797051258573275)","(-1.4975319788226074, -5.476327338512732, 3.540653832490271)","91","768","13500","774","13500","902","13500"
|
||||
"(-4.888565374689203, -5.225173988204411, 1.3896659750160651)","(7.25445059786351, -2.502184091037483, 3.9268794520737096)","92","820","13500","895","13500","981","13500"
|
||||
"(7.1690476271420005, 2.3927342324139387, 3.7078067896757227)","(8.30897914216721, 1.1612819812585187, 3.9270140812095944)","93","350","13500","325","13500","326","13500"
|
||||
"(3.0141344569101864, -3.17403760332962, 7.586088472899194)","(4.614013484797304, 2.1178491452367982, 4.2045899015487045)","94","314","13500","167","13500","31","13500"
|
||||
"(0.716834553577622, 5.965422702076848, 6.30899432829972)","(7.144375446902501, -1.4888231242911125, 3.9117722193688795)","95","651","13500","568","13500","555","13500"
|
||||
"(-2.014161814104731, 1.756222329988015, 4.455935320063481)","(-5.455543389932256, -9.480636513287195, 3.992664187338647)","96","7249","13500","7327","13500","7245","13500"
|
||||
"(-2.372077368895184, 5.2070760031885275, 4.837948992996939)","(2.0423727417549937, -5.921608049670255, 3.979089174826018)","97","7509","13500","7733","13500","7824","13500"
|
||||
"(1.9355711754123668, 0.4333716931781454, 7.896416670156715)","(-6.104720205899097, -6.932741579113408, 3.768752471477088)","98","2747","13500","2693","13500","2398","13500"
|
||||
"(-5.720965960084222, 0.2650186262311413, 6.369631099880723)","(-4.665297341664541, 3.627985421107372, 3.8331179813589467)","99","324","13500","169","13500","18","13500"
|
||||
"(-1.3304670290799365, -4.666036596652623, -0.25970006802464185)","(-4.3141844926178585, -0.5341925314312626, 3.9365370144662015)","100","780","13500","806","13500","692","13500"
|
||||
|
Loading…
x
Reference in New Issue
Block a user