fixed error with data interval

Author: jackyarndley

high.toml

@@ -3,11 +3,14 @@ image_height = 1080
 rotate = 0
 approximation_order = 48
 glitch_percentage = 0.001
-frames = 1
+frames = 5
 frame_offset = 0
 zoom_scale = 2.0
 display_glitches = false
 auto_adjust_iterations = true
 probe_sampling = 3
-remove_centre = false
-export = "exr"
+remove_centre = true
+export = "png"
+
+# By default this is squared tolerance. 1e-6 works normally, 1.4e-6 is low tolerance.
+glitch_tolerance = 1.4e-6

high_experimental.toml

@@ -3,10 +3,10 @@ image_height = 1080
 rotate = 0
 approximation_order = 64
 glitch_percentage = 0.001
-frames = 1
+frames = 5
 frame_offset = 0
 zoom_scale = 2.0
-display_glitches = false
+display_glitches = true
 auto_adjust_iterations = true
 probe_sampling = 12
 remove_centre = true
@@ -15,8 +15,10 @@ export = "png"
 # By default this is squared tolerance. 1e-6 works normally, 1.4e-6 is low tolerance.
 glitch_tolerance = 1.4e-6
 
-# These are experimental options
+# These are experimental options following
 experimental = true 
+
+# If this is set higher than the maximum iteration value this will cause any additional glitches to be perturbed without series approximation
 high_precision_data_interval = 100
 valid_iteration_frame_multiplier = 0.75
-valid_iteration_probe_multiplier = 0.98
+valid_iteration_probe_multiplier = 0.75

locations/infinity.toml

@@ -1,4 +1,4 @@
 real = "-1.7693831791955150182138472860854737829057472636547514374655282165278881912647564588361634463895296673044858257818203031574874912384217194031282461951137475212550848062085787454772803303225167998662391124184542743017129214423639793169296754394181656831301342622793541423768572435783910849972056869527305207508191441734781061794290699753174911133714351734166117456520272756159178932042908932465102671790878414664628213755990650460738372283470777870306458882898202604001744348908388844962887074505853707095832039410323454920540534378406083202543002080240776000604510883136400112955848408048692373051275999457470473671317598770623174665886582323619043055508383245744667325990917947929662025877792679499645660786033978548337553694613673529685268652251959453874971983533677423356377699336623705491817104771909424891461757868378026419765129606526769522898056684520572284028039883286225342392455089357242793475261134567912757009627599451744942893765395578578179137375672787942139328379364197492987307203001409779081030965660422490200242892023288520510396495370720268688377880981691988243756770625044756604957687314689241825216171368155083773536285069411856763404065046728379696513318216144607821920824027797857625921782413101273331959639628043420017995090636222818019324038366814798438238540927811909247543259203596399903790614916969910733455656494065224399357601105072841234072044886928478250600986666987837467585182504661923879353345164721140166670708133939341595205900643816399988710049682525423837465035288755437535332464750001934325685009025423642056347757530380946799290663403877442547063918905505118152350633031870270153292586262005851702999524577716844595335385805548908126325397736860678083754587744508953038826602270140731059161305854135393230132058326419325267890909463907657787245924319849651660028931472549400310808097453589135197164989941931054546261747594558823583006437970585216728326439804654662779987947232731036794099604937358361568561860539962449610052967074013449293876425609214167615079422980743121960127425155223407999875999884"
 imag = "0.00423684791873677221492650717136799707668267091740375727945943565011234400080554515730243099502363650631353268335965257182300494805538736306127524814939292355930892834392050796724887904921986666045576626946900666103494014904714323725586979789908520656683202658064024115300378826789786394641622035341055102900456305723718684527210377325846307917512628774672005693326232806953822796755832517188873479124361430989485495501124096329421682827330693532171505367455526637382706988583456915684673202462211937384523487065290004627037270912806345336469007546411109669407622004367957958476890043040953462048335322273359167297049252960438077167010004209439515213189081508634843224000870136889065895088138204552309352430462782158649681507477960551795646930149740918234645225076516652086716320503880420325704104486903747569874284714830068830518642293591138468762031036739665945023607640585036218668993884533558262144356760232561099772965480869237201581493393664645179292489229735815054564819560512372223360478737722905493126886183195223860999679112529868068569066269441982065315045621648665342365985555395338571505660132833205426100878993922388367450899066133115360740011553934369094891871075717765803345451791394082587084902236263067329239601457074910340800624575627557843183429032397590197231701822237810014080715216554518295907984283453243435079846068568753674073705720148851912173075170531293303461334037951893251390031841730968751744420455098473808572196768667200405919237414872570568499964117282073597147065847005207507464373602310697663458722994227826891841411512573589860255142210602837087031792012000966856067648730369466249241454455795058209627003734747970517231654418272974375968391462696901395430614200747446035851467531667672250261488790789606038203516466311672579186528473826173569678887596534006782882871835938615860588356076208162301201143845805878804278970005959539875585918686455482194364808816650829446335905975254727342258614604501418057192598810476108766922935775177687770187001388743012888530139038318783958771247007926690"
-zoom = "5.0E1401"
+zoom = "5.0E161"
 iterations = 15000000

src/math/reference.rs

@@ -88,7 +88,7 @@ impl Reference {
         );
 
         while self.current_iteration < self.maximum_iteration {
-            if self.start_iteration == 1 && self.current_iteration % 100 == 1 {
+            if self.start_iteration == 1 && self.current_iteration % self.high_precision_data_interval == 1 {
                 self.high_precision_data.push(self.z.clone());
             };