├── .gitignore ├── CHANGELOG.md ├── LICENSE.md ├── README.md ├── docs ├── bopp.core.html ├── bopp.error-handling.html ├── bopp.helper-functions.html ├── bopp.program-transformations.html ├── css │ ├── default.css │ └── highlight.css ├── examples.chaos.html ├── examples.hmm.html ├── examples.opt.html ├── examples.simple-bimodal.html ├── index.html └── js │ ├── highlight.min.js │ ├── jquery.min.js │ └── page_effects.js ├── gpl-3.0.txt ├── project.clj ├── resources ├── data │ ├── chaos │ │ ├── x1.csv │ │ └── y1.csv │ ├── hmm │ │ ├── gt_x1.csv │ │ ├── gt_x10.csv │ │ ├── gt_x11.csv │ │ ├── gt_x12.csv │ │ ├── gt_x13.csv │ │ ├── gt_x14.csv │ │ ├── gt_x15.csv │ │ ├── gt_x16.csv │ │ ├── gt_x17.csv │ │ ├── gt_x18.csv │ │ ├── gt_x19.csv │ │ ├── gt_x2.csv │ │ ├── gt_x20.csv │ │ ├── gt_x3.csv │ │ ├── gt_x4.csv │ │ ├── gt_x5.csv │ │ ├── gt_x6.csv │ │ ├── gt_x7.csv │ │ ├── gt_x8.csv │ │ ├── gt_x9.csv │ │ ├── y1.csv │ │ ├── y10.csv │ │ ├── y11.csv │ │ ├── y12.csv │ │ ├── y13.csv │ │ ├── y14.csv │ │ ├── y15.csv │ │ ├── y16.csv │ │ ├── y17.csv │ │ ├── y18.csv │ │ ├── y19.csv │ │ ├── y2.csv │ │ ├── y20.csv │ │ ├── y3.csv │ │ ├── y4.csv │ │ ├── y5.csv │ │ ├── y6.csv │ │ ├── y7.csv │ │ ├── y8.csv │ │ └── y9.csv │ └── iris.csv └── matlab │ └── wishart │ ├── logmvgamma.m │ └── wishpdfln.m ├── src ├── bopp │ ├── core.clj │ ├── error_handling.clj │ ├── helper_functions.clj │ └── program_transformations.clj └── examples │ ├── chaos.clj │ ├── hmm.clj │ ├── opt.clj │ └── simple_bimodal.clj ├── test └── bopp │ ├── core_test.clj │ ├── error_handling_test.clj │ └── program_transformations_test.clj └── worksheets ├── chaos.clj ├── hmm.clj ├── opt.clj └── simple_bimodal.clj /.gitignore: -------------------------------------------------------------------------------- 1 | .gorilla-port 2 | *.DS_Store 3 | .nrepl-port (1) 4 | /target 5 | /classes 6 | /checkouts 7 | pom.xml 8 | pom.xml.asc 9 | *.jar 10 | *.class 11 | /.lein-* 12 | /.nrepl-port 13 | .hgignore 14 | .hg/ 15 | -------------------------------------------------------------------------------- /CHANGELOG.md: -------------------------------------------------------------------------------- 1 | # Change Log 2 | All notable changes to this project will be documented in this file. This change log follows the conventions of [keepachangelog.com](http://keepachangelog.com/). 3 | 4 | ## [Unreleased][unreleased] 5 | ### Changed 6 | - Add a new arity to `make-widget-async` to provide a different widget shape. 7 | 8 | ## [0.1.1] - 2016-10-20 9 | ### Changed 10 | - Documentation on how to make the widgets. 11 | 12 | ### Removed 13 | - `make-widget-sync` - we're all async, all the time. 14 | 15 | ### Fixed 16 | - Fixed widget maker to keep working when daylight savings switches over. 17 | 18 | ## 0.1.0 - 2016-10-20 19 | ### Added 20 | - Files from the new template. 21 | - Widget maker public API - `make-widget-sync`. 22 | 23 | [unreleased]: https://github.com/your-name/bopp/compare/0.1.1...HEAD 24 | [0.1.1]: https://github.com/your-name/bopp/compare/0.1.0...0.1.1 25 | -------------------------------------------------------------------------------- /LICENSE.md: -------------------------------------------------------------------------------- 1 | Copyright © Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent Michael Osborne, and Frank Wood 2 | 3 | BOPP is free software: you can redistribute it and/or modify 4 | it under the terms of the GNU General Public License as published by 5 | the Free Software Foundation, either version 3 of the License, or 6 | (at your option) any later version. 7 | 8 | BOPP is distributed in the hope that it will be useful, 9 | but WITHOUT ANY WARRANTY; without even the implied warranty of 10 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 11 | GNU General Public License for more details. 12 | 13 | You should have received a copy of the [GNU General Public License](gpl-3.0.txt) along with BOPP. If not, see [http://www.gnu.org/licenses/](http://www.gnu.org/licenses/). 14 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # BOPP: Bayesian Optimization for Probabilistic Programs 2 | 3 | See our [NIPS Spotlight video](https://www.youtube.com/watch?v=gVzV-NxKa9U) for TLDR. 4 | 5 | Latest release: bopp "0.1.5" 6 | 7 | BOPP is a package for automated marginal maximum a posteriori inference (MMAP) based around the 8 | probabilistic programming system [Anglican](http://www.robots.ox.ac.uk/~fwood/anglican). The 9 | user only needs to write their model in the same manner as existing Anglican programs and by using 10 | the `defopt` construct instead of `defquery`, select the variables to be optimized, with the 11 | rest marginalized out. It can also be used as a means of exploiting the target source code 12 | to improve Bayesian optimization, delivering things such as automatic domain scaling, 13 | unbounded optimization, and implicit constraint satisfaction including equality constraints. 14 | The key idea is to use a series of code transformations to extract from the original program 15 | all the things that are needed to carry out the MMAP problem, such as the target function itself 16 | and a program for optimizing the acquisition function subject to the implicit constraints. These 17 | are then passed to our other package [Deodorant](http://github.com/probprog/deodorant), which uses 18 | these to solve the problem probabilistic programs creates for BO. 19 | The following paper should be referred to for full algorithmic details and we ask that you cite this paper if you 20 | use BOPP in your work. 21 | 22 | Rainforth, T., Le, T. A., van de Meent, J.-W., Osborne, M. A., & Wood, F. (2016). Bayesian Optimization for Probabilistic Programs. In Advances in Neural Information Processing Systems. 23 | 24 | ``` 25 | @incollection{rainforth2016bayesian, 26 | title = {Bayesian Optimization for Probabilistic Programs}, 27 | author = {Rainforth, Tom and Le, Tuan Anh and van de Meent, Jan-Willem and Osborne, Michael A and Wood, Frank}, 28 | booktitle = {Advances in Neural Information Processing Systems 29}, 29 | pages = {280--288}, 30 | year = {2016}, 31 | url = {http://papers.nips.cc/paper/6421-bayesian-optimization-for-probabilistic-programs.pdf} 32 | } 33 | ``` 34 | 35 | ## Installation ## 36 | 37 | To use BOPP in your own [Leiningen](http://leiningen.org/) projects, just include the dependency in your `project.clj`: 38 | ``` 39 | (defproject foo 40 | ... 41 | :dependencies [... 42 | [bopp "0.1.5"] 43 | ...]) 44 | ``` 45 | 46 | In your Clojure files, remember to require functions from `core.clj`, e.g.: 47 | ``` 48 | (ns bar 49 | (require [bopp.core :refer :all])) 50 | ``` 51 | The full documentation can be found [here](https://probprog.github.io/bopp/). Checkout [core/defopt](https://probprog.github.io/bopp/bopp.core.html#var-defopt) and [core/doopt](https://probprog.github.io/bopp/bopp.core.html#var-doopt) in particular. 52 | 53 | Though BOPP currently runs of a snapshot of Anglican that means you don't need to install Anglican explicitly, is does have the same requirements in terms of java, Leiningen etc and so we refer the reader to http://www.robots.ox.ac.uk/~fwood/anglican/usage/index.html and recommend that users follow section 2 in the user start up guide. We also recommend that you familiarize yourself on the syntax of Anglican through the 54 | provided link, as this is the same syntax as Anglican, with the addition of the forms `defopt` and `doopt`. 55 | 56 | ## Usage ## 57 | 58 | ### Defining target programs ### 59 | 60 | BOPP targets are specified using the macro `defopt`. This is identical to `defquery` in [Anglican](http://www.robots.ox.ac.uk/~fwood/anglican) except that it takes as an extra input of the target variables to be optimized. BOPP will optimize the evidence of the program with respect to the variables, whilst marginalizing out over the others. 61 | For example: 62 | 63 | ```lisp 64 | (defopt simple-bimodal [y] [theta] 65 | (let [x (sample (normal 0 1)) 66 | theta (sample (normal x 0.5))] 67 | (observe (normal (sqrt (* theta theta)) 0.5) y))) 68 | ``` 69 | 70 | specifies a model where we wish to optimize `theta`, marginalizing out `x`. 71 | 72 | There are a couple of small restrictions 73 | on the programs that can be specified to ensure that they constitute valid target programs, namely: 74 | 75 | 1. Each target variable must be bound to a value directly by a sample statement with fixed measure-type distribution argument (i.e. not a weird `defdist` distribution object). 76 | 2. The program must be written such that any possible execution trace binds each optimization variable exactly once. 77 | 3. Although any target variable may be lexically multiply bound, it must have the same base measure in all possible execution traces. 78 | 79 | Don't worry, if this doesn't make too much sense, BOPP catches violations of these automatically and gives you 80 | and error telling you what you violated. Please see the [paper](http://papers.nips.cc/paper/6421-bayesian-optimization-for-probabilistic-programs) and [supplementary material](http://www.robots.ox.ac.uk/~twgr/assets/pdf/rainforth2016BOPP.pdf) for more information. 81 | 82 | ### Running BOPP ### 83 | 84 | Calling BOPP is super simple, just call 85 | 86 | `(doopt algorithm opt-query opt-query-args num-samples args)` 87 | 88 | where 89 | - `algorithm` = Inference algorithm used for estimating the marginal [`:smc`, `:pcascade`, `:importance`] 90 | - `opt-query` = Query to be optimized, defined by defopt. 91 | - `opt-query-args` = Fixed inputs of opt-query-args (y in earlier example) 92 | - `num-samples` = Number of samples for constructing the estimator of the marginal. 93 | - `args` = Optional arguments as key-value pairs. See docstring for `doopt`. Note that, by default, 94 | the arguments are setup for speed rather per iteration performance. If you wish to run bopp as 95 | per the setup in the paper, or have a problem where the inference is particularly expensive, you 96 | should include in the option list `:speed-option :careful`. 97 | 98 | This returns a lazy infinite sequence of samples. Call `take` on this will convert it 99 | to a fixed number of outputs. Note that as BOPP is a GP based BO scheme, scaling in N is quite poor 100 | and practically limited to around 400-500. 101 | 102 | ### Examples ### 103 | 104 | A number of worksheets are provided to give example usage in different cases. These can be accessed in a Gorilla REPL by running 105 | `lein gorilla` from the base folder and going through worksheets in the `worksheets/` folder. You can also see (but not run) an example worksheet without installing BOPP [here](http://www.robots.ox.ac.uk/~fwood/anglican/examples/viewer/?source=github&user=probprog&repo=bopp&path=worksheets/chaos.clj). 106 | 107 | ## License ## 108 | 109 | Copyright © Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent, Michael Osborne and Frank Wood 110 | 111 | BOPP is free software: you can redistribute it and/or modify 112 | it under the terms of the GNU General Public License as published by 113 | the Free Software Foundation, either version 3 of the License, or 114 | (at your option) any later version. 115 | 116 | BOPP is distributed in the hope that it will be useful, 117 | but WITHOUT ANY WARRANTY; without even the implied warranty of 118 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 119 | GNU General Public License for more details. 120 | 121 | You should have received a copy of the [GNU General Public License](gpl-3.0.txt) along with BOPP. If not, see [http://www.gnu.org/licenses/](http://www.gnu.org/licenses/). 122 | -------------------------------------------------------------------------------- /docs/bopp.error-handling.html: -------------------------------------------------------------------------------- 1 | 3 | bopp.error-handling documentation

Project

Namespaces

Public Vars

bopp.error-handling

Error handling for BOPP
4 |

changing-types?

(changing-types? & args)



--------------------------------------------------------------------------------
/docs/bopp.program-transformations.html:
--------------------------------------------------------------------------------
 1 | 
 3 | bopp.program-transformations documentation
Project
Namespaces
Public Vars
bopp.program-transformations
Program transformations for BOPP
 4 | 
->factor-distribution
(->factor-distribution)
Positional factory function for class bopp.program_transformations.factor-distribution.
 5 | 
acq-f-name
acq-query
macro
(acq-query & args)
Returns CPS'd query with the acquisition transformation applied.
 6 | 
factor
(factor)
Factor the value to the log-likelihood terms.
 7 | e.g. (observe (factor) 1) factors the term 1 in the log likelihood as if
 8 | there was an observed value with the likelihood e.
map->factor-distribution
(map->factor-distribution m__6522__auto__)
Factory function for class bopp.program_transformations.factor-distribution, taking a map of keywords to field values.
 9 | 
ml2-query
macro
(ml2-query & args)
Returns CPS'd query with the maximum likelihood (type 2) transformation applied.
10 | 
mmap-query
macro
(mmap-query & args)
Returns CPS'd query with the MMAP transformation applied.
11 | 
optim-args-key
prior-query
macro
(prior-query & args)
Returns CPS'd query with the prior transformation applied.
12 | 
throw-exception
(throw-exception msg)



--------------------------------------------------------------------------------
/docs/css/highlight.css:
--------------------------------------------------------------------------------
 1 | /*
 2 | github.com style (c) Vasily Polovnyov 
 3 | */
 4 | 
 5 | .hljs {
 6 |   display: block;
 7 |   overflow-x: auto;
 8 |   padding: 0.5em;
 9 |   color: #333;
10 |   background: #f8f8f8;
11 | }
12 | 
13 | .hljs-comment,
14 | .hljs-quote {
15 |   color: #998;
16 |   font-style: italic;
17 | }
18 | 
19 | .hljs-keyword,
20 | .hljs-selector-tag,
21 | .hljs-subst {
22 |   color: #333;
23 |   font-weight: bold;
24 | }
25 | 
26 | .hljs-number,
27 | .hljs-literal,
28 | .hljs-variable,
29 | .hljs-template-variable,
30 | .hljs-tag .hljs-attr {
31 |   color: #008080;
32 | }
33 | 
34 | .hljs-string,
35 | .hljs-doctag {
36 |   color: #d14;
37 | }
38 | 
39 | .hljs-title,
40 | .hljs-section,
41 | .hljs-selector-id {
42 |   color: #900;
43 |   font-weight: bold;
44 | }
45 | 
46 | .hljs-subst {
47 |   font-weight: normal;
48 | }
49 | 
50 | .hljs-type,
51 | .hljs-class .hljs-title {
52 |   color: #458;
53 |   font-weight: bold;
54 | }
55 | 
56 | .hljs-tag,
57 | .hljs-name,
58 | .hljs-attribute {
59 |   color: #000080;
60 |   font-weight: normal;
61 | }
62 | 
63 | .hljs-regexp,
64 | .hljs-link {
65 |   color: #009926;
66 | }
67 | 
68 | .hljs-symbol,
69 | .hljs-bullet {
70 |   color: #990073;
71 | }
72 | 
73 | .hljs-built_in,
74 | .hljs-builtin-name {
75 |   color: #0086b3;
76 | }
77 | 
78 | .hljs-meta {
79 |   color: #999;
80 |   font-weight: bold;
81 | }
82 | 
83 | .hljs-deletion {
84 |   background: #fdd;
85 | }
86 | 
87 | .hljs-addition {
88 |   background: #dfd;
89 | }
90 | 
91 | .hljs-emphasis {
92 |   font-style: italic;
93 | }
94 | 
95 | .hljs-strong {
96 |   font-weight: bold;
97 | }
98 | 


--------------------------------------------------------------------------------
/docs/examples.simple-bimodal.html:
--------------------------------------------------------------------------------
1 | 
3 | examples.simple-bimodal documentation
Project
Namespaces
Public Vars
examples.simple-bimodal
-main
(-main folder-name & opts)
simple-bimodal
BOPP program 'simple-bimodal'
4 | 
simple-bimodal-noisy
BOPP program 'simple-bimodal-noisy'
5 | 



--------------------------------------------------------------------------------
/docs/js/page_effects.js:
--------------------------------------------------------------------------------
  1 | function visibleInParent(element) {
  2 |     var position = $(element).position().top
  3 |     return position > -50 && position < ($(element).offsetParent().height() - 50)
  4 | }
  5 | 
  6 | function hasFragment(link, fragment) {
  7 |     return $(link).attr("href").indexOf("#" + fragment) != -1
  8 | }
  9 | 
 10 | function findLinkByFragment(elements, fragment) {
 11 |     return $(elements).filter(function(i, e) { return hasFragment(e, fragment)}).first()
 12 | }
 13 | 
 14 | function scrollToCurrentVarLink(elements) {
 15 |     var elements = $(elements);
 16 |     var parent   = elements.offsetParent();
 17 | 
 18 |     if (elements.length == 0) return;
 19 | 
 20 |     var top    = elements.first().position().top;
 21 |     var bottom = elements.last().position().top + elements.last().height();
 22 | 
 23 |     if (top >= 0 && bottom <= parent.height()) return;
 24 | 
 25 |     if (top < 0) {
 26 |         parent.scrollTop(parent.scrollTop() + top);
 27 |     }
 28 |     else if (bottom > parent.height()) {
 29 |         parent.scrollTop(parent.scrollTop() + bottom - parent.height());
 30 |     }
 31 | }
 32 | 
 33 | function setCurrentVarLink() {
 34 |     $('.secondary a').parent().removeClass('current')
 35 |     $('.anchor').
 36 |         filter(function(index) { return visibleInParent(this) }).
 37 |         each(function(index, element) {
 38 |             findLinkByFragment(".secondary a", element.id).
 39 |                 parent().
 40 |                 addClass('current')
 41 |         });
 42 |     scrollToCurrentVarLink('.secondary .current');
 43 | }
 44 | 
 45 | var hasStorage = (function() { try { return localStorage.getItem } catch(e) {} }())
 46 | 
 47 | function scrollPositionId(element) {
 48 |     var directory = window.location.href.replace(/[^\/]+\.html$/, '')
 49 |     return 'scroll::' + $(element).attr('id') + '::' + directory
 50 | }
 51 | 
 52 | function storeScrollPosition(element) {
 53 |     if (!hasStorage) return;
 54 |     localStorage.setItem(scrollPositionId(element) + "::x", $(element).scrollLeft())
 55 |     localStorage.setItem(scrollPositionId(element) + "::y", $(element).scrollTop())
 56 | }
 57 | 
 58 | function recallScrollPosition(element) {
 59 |     if (!hasStorage) return;
 60 |     $(element).scrollLeft(localStorage.getItem(scrollPositionId(element) + "::x"))
 61 |     $(element).scrollTop(localStorage.getItem(scrollPositionId(element) + "::y"))
 62 | }
 63 | 
 64 | function persistScrollPosition(element) {
 65 |     recallScrollPosition(element)
 66 |     $(element).scroll(function() { storeScrollPosition(element) })
 67 | }
 68 | 
 69 | function sidebarContentWidth(element) {
 70 |     var widths = $(element).find('.inner').map(function() { return $(this).innerWidth() })
 71 |     return Math.max.apply(Math, widths)
 72 | }
 73 | 
 74 | function calculateSize(width, snap, margin, minimum) {
 75 |     if (width == 0) {
 76 |         return 0
 77 |     }
 78 |     else {
 79 |         return Math.max(minimum, (Math.ceil(width / snap) * snap) + (margin * 2))
 80 |     }
 81 | }
 82 | 
 83 | function resizeSidebars() {
 84 |     var primaryWidth   = sidebarContentWidth('.primary')
 85 |     var secondaryWidth = 0
 86 | 
 87 |     if ($('.secondary').length != 0) {
 88 |         secondaryWidth = sidebarContentWidth('.secondary')
 89 |     }
 90 | 
 91 |     // snap to grid
 92 |     primaryWidth   = calculateSize(primaryWidth, 32, 13, 160)
 93 |     secondaryWidth = calculateSize(secondaryWidth, 32, 13, 160)
 94 | 
 95 |     $('.primary').css('width', primaryWidth)
 96 |     $('.secondary').css('width', secondaryWidth).css('left', primaryWidth + 1)
 97 | 
 98 |     if (secondaryWidth > 0) {
 99 |         $('#content').css('left', primaryWidth + secondaryWidth + 2)
100 |     }
101 |     else {
102 |         $('#content').css('left', primaryWidth + 1)
103 |     }
104 | }
105 | 
106 | $(window).ready(resizeSidebars)
107 | $(window).ready(setCurrentVarLink)
108 | $(window).ready(function() { persistScrollPosition('.primary')})
109 | $(window).ready(function() {
110 |     $('#content').scroll(setCurrentVarLink)
111 |     $(window).resize(setCurrentVarLink)
112 | })
113 | 


--------------------------------------------------------------------------------
/project.clj:
--------------------------------------------------------------------------------
 1 | (defproject bopp "0.1.5"
 2 |   :description "Bayesian Optimization for Probabilistic Programs."
 3 |   :url "http://github.com/probprog/bopp"
 4 |   :license {:name "GNU General Public License Version 3"
 5 |             :url "http://www.gnu.org/licenses/gpl.html"}
 6 |   :plugins [[lein-codox "0.10.2"]
 7 |             [lein-gorilla "0.4.0"]]
 8 |   :dependencies [[org.clojure/clojure "1.8.0"]
 9 |                  [org.clojars.tuananhle/anglican "1.1.1-BOPP"]
10 |                  [deodorant "0.1.3"]
11 |                  [clatrix "0.5.0"]
12 |                  [org.apache.commons/commons-math3 "3.6.1"]
13 |                  [com.taoensso/tufte "1.0.0-RC2"]
14 |                  [org.clojure/data.csv "0.1.3"]
15 |                  [clojure-csv/clojure-csv "2.0.1"]])
16 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x1.csv:
--------------------------------------------------------------------------------
   1 | 3
   2 | 3
   3 | 3
   4 | 2
   5 | 2
   6 | 2
   7 | 2
   8 | 3
   9 | 3
  10 | 3
  11 | 3
  12 | 3
  13 | 1
  14 | 1
  15 | 2
  16 | 2
  17 | 2
  18 | 2
  19 | 2
  20 | 3
  21 | 2
  22 | 3
  23 | 2
  24 | 2
  25 | 2
  26 | 2
  27 | 2
  28 | 2
  29 | 2
  30 | 2
  31 | 2
  32 | 2
  33 | 2
  34 | 2
  35 | 2
  36 | 2
  37 | 2
  38 | 2
  39 | 2
  40 | 2
  41 | 3
  42 | 3
  43 | 3
  44 | 3
  45 | 3
  46 | 3
  47 | 3
  48 | 1
  49 | 1
  50 | 1
  51 | 1
  52 | 1
  53 | 1
  54 | 1
  55 | 1
  56 | 1
  57 | 1
  58 | 1
  59 | 2
  60 | 2
  61 | 2
  62 | 1
  63 | 1
  64 | 1
  65 | 1
  66 | 1
  67 | 1
  68 | 1
  69 | 1
  70 | 1
  71 | 2
  72 | 1
  73 | 1
  74 | 1
  75 | 1
  76 | 2
  77 | 3
  78 | 1
  79 | 1
  80 | 1
  81 | 1
  82 | 1
  83 | 1
  84 | 1
  85 | 1
  86 | 1
  87 | 1
  88 | 1
  89 | 1
  90 | 1
  91 | 1
  92 | 1
  93 | 1
  94 | 1
  95 | 1
  96 | 1
  97 | 1
  98 | 1
  99 | 1
 100 | 1
 101 | 2
 102 | 2
 103 | 1
 104 | 1
 105 | 1
 106 | 1
 107 | 1
 108 | 2
 109 | 2
 110 | 1
 111 | 2
 112 | 2
 113 | 2
 114 | 2
 115 | 2
 116 | 2
 117 | 2
 118 | 1
 119 | 1
 120 | 2
 121 | 2
 122 | 3
 123 | 3
 124 | 3
 125 | 2
 126 | 2
 127 | 3
 128 | 3
 129 | 3
 130 | 3
 131 | 3
 132 | 2
 133 | 2
 134 | 2
 135 | 2
 136 | 3
 137 | 3
 138 | 2
 139 | 2
 140 | 1
 141 | 1
 142 | 1
 143 | 1
 144 | 2
 145 | 1
 146 | 1
 147 | 1
 148 | 1
 149 | 1
 150 | 2
 151 | 2
 152 | 2
 153 | 2
 154 | 2
 155 | 2
 156 | 2
 157 | 3
 158 | 3
 159 | 1
 160 | 1
 161 | 1
 162 | 1
 163 | 2
 164 | 3
 165 | 2
 166 | 2
 167 | 2
 168 | 2
 169 | 2
 170 | 2
 171 | 2
 172 | 2
 173 | 2
 174 | 2
 175 | 2
 176 | 2
 177 | 2
 178 | 2
 179 | 1
 180 | 1
 181 | 1
 182 | 1
 183 | 2
 184 | 1
 185 | 1
 186 | 1
 187 | 1
 188 | 1
 189 | 2
 190 | 2
 191 | 2
 192 | 3
 193 | 3
 194 | 3
 195 | 3
 196 | 3
 197 | 3
 198 | 2
 199 | 2
 200 | 2
 201 | 1
 202 | 1
 203 | 1
 204 | 1
 205 | 1
 206 | 1
 207 | 1
 208 | 1
 209 | 2
 210 | 2
 211 | 2
 212 | 2
 213 | 1
 214 | 1
 215 | 1
 216 | 2
 217 | 3
 218 | 2
 219 | 2
 220 | 2
 221 | 2
 222 | 2
 223 | 2
 224 | 2
 225 | 2
 226 | 2
 227 | 2
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 1
 235 | 1
 236 | 2
 237 | 2
 238 | 2
 239 | 2
 240 | 1
 241 | 2
 242 | 1
 243 | 1
 244 | 1
 245 | 1
 246 | 1
 247 | 1
 248 | 2
 249 | 2
 250 | 1
 251 | 2
 252 | 2
 253 | 2
 254 | 1
 255 | 2
 256 | 2
 257 | 2
 258 | 2
 259 | 2
 260 | 2
 261 | 2
 262 | 2
 263 | 2
 264 | 1
 265 | 1
 266 | 1
 267 | 2
 268 | 2
 269 | 2
 270 | 1
 271 | 2
 272 | 3
 273 | 3
 274 | 3
 275 | 3
 276 | 3
 277 | 3
 278 | 3
 279 | 3
 280 | 3
 281 | 3
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 1
 292 | 1
 293 | 1
 294 | 2
 295 | 3
 296 | 1
 297 | 2
 298 | 2
 299 | 2
 300 | 2
 301 | 2
 302 | 2
 303 | 1
 304 | 2
 305 | 1
 306 | 1
 307 | 1
 308 | 1
 309 | 1
 310 | 1
 311 | 1
 312 | 1
 313 | 1
 314 | 1
 315 | 1
 316 | 1
 317 | 2
 318 | 1
 319 | 1
 320 | 1
 321 | 1
 322 | 1
 323 | 1
 324 | 2
 325 | 2
 326 | 2
 327 | 2
 328 | 2
 329 | 1
 330 | 1
 331 | 1
 332 | 1
 333 | 1
 334 | 1
 335 | 1
 336 | 1
 337 | 1
 338 | 2
 339 | 2
 340 | 2
 341 | 2
 342 | 2
 343 | 2
 344 | 2
 345 | 2
 346 | 3
 347 | 3
 348 | 3
 349 | 3
 350 | 3
 351 | 3
 352 | 3
 353 | 2
 354 | 2
 355 | 2
 356 | 2
 357 | 1
 358 | 1
 359 | 1
 360 | 1
 361 | 1
 362 | 1
 363 | 1
 364 | 1
 365 | 1
 366 | 2
 367 | 2
 368 | 2
 369 | 2
 370 | 2
 371 | 2
 372 | 3
 373 | 1
 374 | 1
 375 | 1
 376 | 1
 377 | 1
 378 | 1
 379 | 2
 380 | 2
 381 | 2
 382 | 3
 383 | 3
 384 | 2
 385 | 2
 386 | 2
 387 | 2
 388 | 2
 389 | 2
 390 | 3
 391 | 2
 392 | 1
 393 | 1
 394 | 1
 395 | 1
 396 | 1
 397 | 1
 398 | 2
 399 | 2
 400 | 2
 401 | 2
 402 | 2
 403 | 2
 404 | 2
 405 | 2
 406 | 2
 407 | 3
 408 | 3
 409 | 3
 410 | 3
 411 | 3
 412 | 3
 413 | 3
 414 | 3
 415 | 2
 416 | 2
 417 | 3
 418 | 2
 419 | 1
 420 | 1
 421 | 1
 422 | 1
 423 | 1
 424 | 2
 425 | 2
 426 | 2
 427 | 2
 428 | 2
 429 | 3
 430 | 3
 431 | 2
 432 | 2
 433 | 2
 434 | 2
 435 | 2
 436 | 3
 437 | 3
 438 | 3
 439 | 3
 440 | 3
 441 | 3
 442 | 3
 443 | 3
 444 | 3
 445 | 3
 446 | 3
 447 | 1
 448 | 2
 449 | 2
 450 | 2
 451 | 2
 452 | 2
 453 | 2
 454 | 2
 455 | 2
 456 | 2
 457 | 2
 458 | 2
 459 | 2
 460 | 1
 461 | 1
 462 | 1
 463 | 1
 464 | 2
 465 | 2
 466 | 2
 467 | 2
 468 | 2
 469 | 1
 470 | 1
 471 | 1
 472 | 1
 473 | 1
 474 | 1
 475 | 1
 476 | 1
 477 | 1
 478 | 2
 479 | 2
 480 | 2
 481 | 2
 482 | 2
 483 | 2
 484 | 1
 485 | 1
 486 | 1
 487 | 2
 488 | 2
 489 | 2
 490 | 3
 491 | 3
 492 | 3
 493 | 3
 494 | 3
 495 | 3
 496 | 3
 497 | 3
 498 | 3
 499 | 2
 500 | 2
 501 | 2
 502 | 2
 503 | 1
 504 | 1
 505 | 1
 506 | 1
 507 | 1
 508 | 2
 509 | 3
 510 | 1
 511 | 2
 512 | 2
 513 | 2
 514 | 1
 515 | 1
 516 | 1
 517 | 1
 518 | 1
 519 | 1
 520 | 1
 521 | 1
 522 | 1
 523 | 1
 524 | 1
 525 | 2
 526 | 2
 527 | 2
 528 | 2
 529 | 2
 530 | 3
 531 | 3
 532 | 3
 533 | 2
 534 | 2
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 2
 541 | 2
 542 | 1
 543 | 1
 544 | 2
 545 | 2
 546 | 2
 547 | 2
 548 | 2
 549 | 2
 550 | 2
 551 | 2
 552 | 2
 553 | 3
 554 | 3
 555 | 3
 556 | 3
 557 | 3
 558 | 1
 559 | 1
 560 | 1
 561 | 1
 562 | 1
 563 | 1
 564 | 1
 565 | 2
 566 | 3
 567 | 3
 568 | 3
 569 | 3
 570 | 1
 571 | 1
 572 | 2
 573 | 2
 574 | 2
 575 | 2
 576 | 3
 577 | 3
 578 | 2
 579 | 2
 580 | 2
 581 | 2
 582 | 2
 583 | 2
 584 | 2
 585 | 2
 586 | 1
 587 | 1
 588 | 2
 589 | 2
 590 | 2
 591 | 3
 592 | 3
 593 | 3
 594 | 3
 595 | 3
 596 | 3
 597 | 3
 598 | 3
 599 | 1
 600 | 1
 601 | 1
 602 | 1
 603 | 1
 604 | 1
 605 | 1
 606 | 1
 607 | 1
 608 | 1
 609 | 1
 610 | 1
 611 | 1
 612 | 1
 613 | 1
 614 | 1
 615 | 1
 616 | 1
 617 | 1
 618 | 1
 619 | 1
 620 | 1
 621 | 1
 622 | 1
 623 | 2
 624 | 2
 625 | 1
 626 | 1
 627 | 2
 628 | 2
 629 | 3
 630 | 2
 631 | 2
 632 | 2
 633 | 2
 634 | 3
 635 | 2
 636 | 3
 637 | 3
 638 | 3
 639 | 3
 640 | 3
 641 | 3
 642 | 3
 643 | 3
 644 | 3
 645 | 3
 646 | 3
 647 | 1
 648 | 1
 649 | 1
 650 | 1
 651 | 2
 652 | 3
 653 | 3
 654 | 3
 655 | 2
 656 | 2
 657 | 2
 658 | 3
 659 | 2
 660 | 2
 661 | 2
 662 | 2
 663 | 2
 664 | 2
 665 | 2
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 1
 671 | 1
 672 | 1
 673 | 1
 674 | 1
 675 | 2
 676 | 2
 677 | 1
 678 | 1
 679 | 1
 680 | 1
 681 | 1
 682 | 1
 683 | 1
 684 | 2
 685 | 2
 686 | 1
 687 | 2
 688 | 2
 689 | 2
 690 | 2
 691 | 2
 692 | 1
 693 | 1
 694 | 1
 695 | 1
 696 | 1
 697 | 1
 698 | 2
 699 | 3
 700 | 3
 701 | 3
 702 | 3
 703 | 2
 704 | 2
 705 | 1
 706 | 2
 707 | 2
 708 | 2
 709 | 2
 710 | 2
 711 | 3
 712 | 2
 713 | 2
 714 | 3
 715 | 2
 716 | 2
 717 | 1
 718 | 1
 719 | 2
 720 | 2
 721 | 2
 722 | 2
 723 | 3
 724 | 2
 725 | 2
 726 | 3
 727 | 3
 728 | 1
 729 | 1
 730 | 1
 731 | 2
 732 | 2
 733 | 2
 734 | 2
 735 | 2
 736 | 2
 737 | 2
 738 | 2
 739 | 2
 740 | 1
 741 | 1
 742 | 1
 743 | 1
 744 | 1
 745 | 1
 746 | 1
 747 | 2
 748 | 1
 749 | 2
 750 | 2
 751 | 2
 752 | 1
 753 | 1
 754 | 1
 755 | 1
 756 | 1
 757 | 1
 758 | 1
 759 | 2
 760 | 2
 761 | 2
 762 | 2
 763 | 1
 764 | 1
 765 | 2
 766 | 2
 767 | 2
 768 | 2
 769 | 2
 770 | 2
 771 | 1
 772 | 1
 773 | 1
 774 | 2
 775 | 2
 776 | 2
 777 | 3
 778 | 3
 779 | 3
 780 | 3
 781 | 3
 782 | 3
 783 | 2
 784 | 2
 785 | 3
 786 | 3
 787 | 3
 788 | 3
 789 | 3
 790 | 3
 791 | 3
 792 | 3
 793 | 3
 794 | 3
 795 | 3
 796 | 3
 797 | 2
 798 | 1
 799 | 2
 800 | 3
 801 | 3
 802 | 2
 803 | 2
 804 | 2
 805 | 2
 806 | 3
 807 | 2
 808 | 2
 809 | 2
 810 | 2
 811 | 2
 812 | 2
 813 | 3
 814 | 3
 815 | 3
 816 | 3
 817 | 3
 818 | 3
 819 | 2
 820 | 2
 821 | 3
 822 | 1
 823 | 1
 824 | 1
 825 | 1
 826 | 1
 827 | 1
 828 | 1
 829 | 1
 830 | 2
 831 | 3
 832 | 3
 833 | 3
 834 | 2
 835 | 2
 836 | 3
 837 | 3
 838 | 3
 839 | 3
 840 | 3
 841 | 3
 842 | 3
 843 | 3
 844 | 3
 845 | 3
 846 | 3
 847 | 3
 848 | 3
 849 | 3
 850 | 3
 851 | 2
 852 | 2
 853 | 2
 854 | 2
 855 | 2
 856 | 2
 857 | 2
 858 | 2
 859 | 2
 860 | 2
 861 | 2
 862 | 2
 863 | 2
 864 | 2
 865 | 2
 866 | 1
 867 | 1
 868 | 1
 869 | 1
 870 | 1
 871 | 1
 872 | 2
 873 | 1
 874 | 1
 875 | 1
 876 | 1
 877 | 1
 878 | 1
 879 | 1
 880 | 1
 881 | 2
 882 | 2
 883 | 2
 884 | 2
 885 | 3
 886 | 3
 887 | 1
 888 | 1
 889 | 2
 890 | 2
 891 | 1
 892 | 1
 893 | 1
 894 | 1
 895 | 2
 896 | 2
 897 | 2
 898 | 3
 899 | 2
 900 | 2
 901 | 2
 902 | 2
 903 | 2
 904 | 1
 905 | 1
 906 | 1
 907 | 1
 908 | 1
 909 | 1
 910 | 1
 911 | 1
 912 | 1
 913 | 1
 914 | 1
 915 | 1
 916 | 1
 917 | 1
 918 | 1
 919 | 1
 920 | 1
 921 | 2
 922 | 1
 923 | 1
 924 | 1
 925 | 1
 926 | 2
 927 | 2
 928 | 2
 929 | 1
 930 | 2
 931 | 1
 932 | 1
 933 | 2
 934 | 2
 935 | 2
 936 | 2
 937 | 3
 938 | 3
 939 | 2
 940 | 2
 941 | 2
 942 | 3
 943 | 3
 944 | 3
 945 | 2
 946 | 2
 947 | 2
 948 | 1
 949 | 1
 950 | 1
 951 | 1
 952 | 1
 953 | 1
 954 | 1
 955 | 1
 956 | 1
 957 | 1
 958 | 1
 959 | 2
 960 | 2
 961 | 2
 962 | 2
 963 | 1
 964 | 2
 965 | 1
 966 | 1
 967 | 2
 968 | 2
 969 | 2
 970 | 2
 971 | 3
 972 | 3
 973 | 3
 974 | 3
 975 | 3
 976 | 3
 977 | 3
 978 | 2
 979 | 3
 980 | 3
 981 | 3
 982 | 1
 983 | 1
 984 | 1
 985 | 1
 986 | 2
 987 | 2
 988 | 2
 989 | 2
 990 | 2
 991 | 2
 992 | 3
 993 | 3
 994 | 3
 995 | 3
 996 | 3
 997 | 3
 998 | 3
 999 | 3
1000 | 3
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x10.csv:
--------------------------------------------------------------------------------
   1 | 3
   2 | 3
   3 | 3
   4 | 3
   5 | 3
   6 | 3
   7 | 2
   8 | 2
   9 | 3
  10 | 3
  11 | 3
  12 | 3
  13 | 3
  14 | 3
  15 | 3
  16 | 2
  17 | 2
  18 | 2
  19 | 2
  20 | 2
  21 | 2
  22 | 2
  23 | 3
  24 | 2
  25 | 2
  26 | 1
  27 | 1
  28 | 1
  29 | 2
  30 | 2
  31 | 2
  32 | 2
  33 | 2
  34 | 3
  35 | 3
  36 | 3
  37 | 2
  38 | 2
  39 | 2
  40 | 2
  41 | 2
  42 | 2
  43 | 2
  44 | 2
  45 | 2
  46 | 3
  47 | 2
  48 | 1
  49 | 1
  50 | 1
  51 | 1
  52 | 1
  53 | 2
  54 | 2
  55 | 2
  56 | 1
  57 | 1
  58 | 2
  59 | 1
  60 | 1
  61 | 1
  62 | 2
  63 | 2
  64 | 2
  65 | 2
  66 | 2
  67 | 2
  68 | 2
  69 | 2
  70 | 1
  71 | 1
  72 | 1
  73 | 1
  74 | 1
  75 | 1
  76 | 2
  77 | 1
  78 | 1
  79 | 1
  80 | 1
  81 | 1
  82 | 1
  83 | 1
  84 | 2
  85 | 2
  86 | 2
  87 | 1
  88 | 2
  89 | 2
  90 | 1
  91 | 1
  92 | 1
  93 | 2
  94 | 1
  95 | 1
  96 | 1
  97 | 1
  98 | 1
  99 | 1
 100 | 2
 101 | 1
 102 | 1
 103 | 1
 104 | 1
 105 | 2
 106 | 2
 107 | 1
 108 | 1
 109 | 1
 110 | 2
 111 | 2
 112 | 2
 113 | 3
 114 | 2
 115 | 2
 116 | 2
 117 | 2
 118 | 2
 119 | 2
 120 | 2
 121 | 2
 122 | 2
 123 | 3
 124 | 3
 125 | 3
 126 | 3
 127 | 3
 128 | 3
 129 | 3
 130 | 3
 131 | 3
 132 | 1
 133 | 1
 134 | 2
 135 | 2
 136 | 1
 137 | 2
 138 | 1
 139 | 1
 140 | 1
 141 | 1
 142 | 2
 143 | 2
 144 | 2
 145 | 2
 146 | 2
 147 | 2
 148 | 2
 149 | 2
 150 | 2
 151 | 3
 152 | 1
 153 | 2
 154 | 2
 155 | 2
 156 | 2
 157 | 2
 158 | 3
 159 | 2
 160 | 3
 161 | 3
 162 | 2
 163 | 2
 164 | 3
 165 | 3
 166 | 3
 167 | 3
 168 | 1
 169 | 1
 170 | 1
 171 | 1
 172 | 1
 173 | 2
 174 | 2
 175 | 3
 176 | 3
 177 | 3
 178 | 2
 179 | 2
 180 | 2
 181 | 2
 182 | 2
 183 | 3
 184 | 1
 185 | 2
 186 | 2
 187 | 3
 188 | 1
 189 | 1
 190 | 1
 191 | 1
 192 | 2
 193 | 2
 194 | 2
 195 | 2
 196 | 1
 197 | 1
 198 | 1
 199 | 2
 200 | 2
 201 | 1
 202 | 1
 203 | 2
 204 | 2
 205 | 2
 206 | 2
 207 | 2
 208 | 1
 209 | 2
 210 | 2
 211 | 2
 212 | 2
 213 | 2
 214 | 2
 215 | 1
 216 | 1
 217 | 2
 218 | 2
 219 | 1
 220 | 2
 221 | 1
 222 | 1
 223 | 2
 224 | 2
 225 | 2
 226 | 1
 227 | 1
 228 | 1
 229 | 2
 230 | 2
 231 | 2
 232 | 2
 233 | 2
 234 | 2
 235 | 2
 236 | 2
 237 | 2
 238 | 2
 239 | 3
 240 | 2
 241 | 2
 242 | 2
 243 | 2
 244 | 2
 245 | 2
 246 | 2
 247 | 2
 248 | 2
 249 | 1
 250 | 1
 251 | 1
 252 | 1
 253 | 1
 254 | 2
 255 | 2
 256 | 2
 257 | 2
 258 | 1
 259 | 1
 260 | 1
 261 | 1
 262 | 1
 263 | 1
 264 | 1
 265 | 1
 266 | 1
 267 | 1
 268 | 1
 269 | 1
 270 | 1
 271 | 1
 272 | 1
 273 | 1
 274 | 2
 275 | 1
 276 | 1
 277 | 1
 278 | 1
 279 | 1
 280 | 1
 281 | 2
 282 | 3
 283 | 2
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 1
 292 | 2
 293 | 2
 294 | 2
 295 | 2
 296 | 2
 297 | 2
 298 | 2
 299 | 2
 300 | 2
 301 | 2
 302 | 2
 303 | 2
 304 | 2
 305 | 2
 306 | 2
 307 | 2
 308 | 1
 309 | 1
 310 | 1
 311 | 2
 312 | 3
 313 | 2
 314 | 2
 315 | 2
 316 | 2
 317 | 2
 318 | 2
 319 | 2
 320 | 3
 321 | 3
 322 | 3
 323 | 3
 324 | 3
 325 | 3
 326 | 3
 327 | 2
 328 | 2
 329 | 1
 330 | 1
 331 | 2
 332 | 2
 333 | 2
 334 | 2
 335 | 2
 336 | 2
 337 | 2
 338 | 2
 339 | 2
 340 | 2
 341 | 1
 342 | 2
 343 | 3
 344 | 3
 345 | 1
 346 | 1
 347 | 1
 348 | 1
 349 | 1
 350 | 1
 351 | 1
 352 | 1
 353 | 2
 354 | 1
 355 | 1
 356 | 1
 357 | 1
 358 | 1
 359 | 1
 360 | 1
 361 | 1
 362 | 2
 363 | 2
 364 | 2
 365 | 3
 366 | 3
 367 | 3
 368 | 3
 369 | 1
 370 | 2
 371 | 2
 372 | 2
 373 | 2
 374 | 2
 375 | 2
 376 | 2
 377 | 3
 378 | 3
 379 | 3
 380 | 3
 381 | 3
 382 | 2
 383 | 2
 384 | 2
 385 | 2
 386 | 3
 387 | 3
 388 | 2
 389 | 2
 390 | 2
 391 | 2
 392 | 2
 393 | 2
 394 | 2
 395 | 2
 396 | 2
 397 | 2
 398 | 2
 399 | 2
 400 | 2
 401 | 2
 402 | 1
 403 | 1
 404 | 1
 405 | 1
 406 | 1
 407 | 1
 408 | 1
 409 | 1
 410 | 2
 411 | 2
 412 | 1
 413 | 1
 414 | 1
 415 | 1
 416 | 1
 417 | 1
 418 | 1
 419 | 1
 420 | 1
 421 | 1
 422 | 2
 423 | 2
 424 | 2
 425 | 2
 426 | 2
 427 | 3
 428 | 3
 429 | 3
 430 | 3
 431 | 3
 432 | 2
 433 | 2
 434 | 2
 435 | 3
 436 | 2
 437 | 2
 438 | 2
 439 | 2
 440 | 2
 441 | 2
 442 | 3
 443 | 1
 444 | 1
 445 | 2
 446 | 2
 447 | 2
 448 | 2
 449 | 2
 450 | 1
 451 | 2
 452 | 2
 453 | 2
 454 | 2
 455 | 2
 456 | 2
 457 | 2
 458 | 2
 459 | 2
 460 | 3
 461 | 2
 462 | 2
 463 | 1
 464 | 1
 465 | 2
 466 | 3
 467 | 3
 468 | 3
 469 | 3
 470 | 1
 471 | 1
 472 | 2
 473 | 1
 474 | 2
 475 | 2
 476 | 2
 477 | 1
 478 | 1
 479 | 1
 480 | 1
 481 | 1
 482 | 1
 483 | 1
 484 | 2
 485 | 2
 486 | 2
 487 | 2
 488 | 2
 489 | 2
 490 | 3
 491 | 3
 492 | 2
 493 | 2
 494 | 2
 495 | 2
 496 | 2
 497 | 2
 498 | 2
 499 | 2
 500 | 2
 501 | 1
 502 | 1
 503 | 1
 504 | 1
 505 | 1
 506 | 1
 507 | 1
 508 | 1
 509 | 1
 510 | 1
 511 | 1
 512 | 1
 513 | 1
 514 | 2
 515 | 2
 516 | 2
 517 | 2
 518 | 2
 519 | 2
 520 | 3
 521 | 3
 522 | 3
 523 | 3
 524 | 3
 525 | 2
 526 | 2
 527 | 3
 528 | 3
 529 | 3
 530 | 3
 531 | 1
 532 | 1
 533 | 2
 534 | 2
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 2
 542 | 1
 543 | 1
 544 | 1
 545 | 1
 546 | 1
 547 | 1
 548 | 2
 549 | 2
 550 | 2
 551 | 2
 552 | 2
 553 | 2
 554 | 2
 555 | 2
 556 | 2
 557 | 2
 558 | 2
 559 | 3
 560 | 2
 561 | 2
 562 | 2
 563 | 2
 564 | 2
 565 | 2
 566 | 1
 567 | 2
 568 | 2
 569 | 2
 570 | 2
 571 | 2
 572 | 2
 573 | 2
 574 | 2
 575 | 1
 576 | 1
 577 | 1
 578 | 1
 579 | 1
 580 | 1
 581 | 1
 582 | 2
 583 | 2
 584 | 3
 585 | 3
 586 | 3
 587 | 3
 588 | 1
 589 | 1
 590 | 1
 591 | 1
 592 | 1
 593 | 1
 594 | 1
 595 | 1
 596 | 1
 597 | 1
 598 | 1
 599 | 1
 600 | 1
 601 | 1
 602 | 1
 603 | 2
 604 | 2
 605 | 2
 606 | 2
 607 | 2
 608 | 2
 609 | 2
 610 | 2
 611 | 2
 612 | 2
 613 | 2
 614 | 1
 615 | 1
 616 | 1
 617 | 1
 618 | 1
 619 | 1
 620 | 2
 621 | 2
 622 | 2
 623 | 2
 624 | 2
 625 | 1
 626 | 2
 627 | 1
 628 | 1
 629 | 1
 630 | 1
 631 | 1
 632 | 2
 633 | 2
 634 | 1
 635 | 2
 636 | 3
 637 | 2
 638 | 1
 639 | 1
 640 | 1
 641 | 1
 642 | 2
 643 | 2
 644 | 2
 645 | 3
 646 | 2
 647 | 2
 648 | 2
 649 | 3
 650 | 2
 651 | 2
 652 | 3
 653 | 1
 654 | 1
 655 | 1
 656 | 1
 657 | 1
 658 | 1
 659 | 1
 660 | 1
 661 | 2
 662 | 3
 663 | 3
 664 | 3
 665 | 1
 666 | 1
 667 | 2
 668 | 2
 669 | 2
 670 | 2
 671 | 2
 672 | 2
 673 | 2
 674 | 2
 675 | 1
 676 | 1
 677 | 2
 678 | 2
 679 | 2
 680 | 2
 681 | 1
 682 | 1
 683 | 1
 684 | 1
 685 | 1
 686 | 2
 687 | 2
 688 | 3
 689 | 3
 690 | 3
 691 | 3
 692 | 3
 693 | 3
 694 | 3
 695 | 3
 696 | 3
 697 | 3
 698 | 3
 699 | 2
 700 | 2
 701 | 2
 702 | 2
 703 | 2
 704 | 3
 705 | 3
 706 | 3
 707 | 2
 708 | 2
 709 | 2
 710 | 2
 711 | 3
 712 | 1
 713 | 1
 714 | 1
 715 | 2
 716 | 1
 717 | 1
 718 | 2
 719 | 2
 720 | 2
 721 | 2
 722 | 2
 723 | 2
 724 | 2
 725 | 2
 726 | 2
 727 | 2
 728 | 2
 729 | 2
 730 | 1
 731 | 1
 732 | 1
 733 | 1
 734 | 1
 735 | 1
 736 | 1
 737 | 1
 738 | 2
 739 | 2
 740 | 2
 741 | 2
 742 | 2
 743 | 2
 744 | 2
 745 | 2
 746 | 2
 747 | 2
 748 | 2
 749 | 2
 750 | 1
 751 | 1
 752 | 1
 753 | 1
 754 | 1
 755 | 1
 756 | 2
 757 | 2
 758 | 2
 759 | 2
 760 | 2
 761 | 2
 762 | 2
 763 | 2
 764 | 2
 765 | 2
 766 | 1
 767 | 1
 768 | 1
 769 | 1
 770 | 1
 771 | 1
 772 | 1
 773 | 1
 774 | 2
 775 | 3
 776 | 3
 777 | 1
 778 | 1
 779 | 1
 780 | 1
 781 | 1
 782 | 1
 783 | 1
 784 | 1
 785 | 1
 786 | 1
 787 | 1
 788 | 1
 789 | 1
 790 | 1
 791 | 1
 792 | 1
 793 | 1
 794 | 2
 795 | 2
 796 | 2
 797 | 3
 798 | 3
 799 | 2
 800 | 2
 801 | 2
 802 | 2
 803 | 1
 804 | 1
 805 | 1
 806 | 1
 807 | 1
 808 | 1
 809 | 1
 810 | 1
 811 | 1
 812 | 2
 813 | 2
 814 | 2
 815 | 2
 816 | 1
 817 | 2
 818 | 1
 819 | 1
 820 | 1
 821 | 1
 822 | 2
 823 | 1
 824 | 1
 825 | 2
 826 | 3
 827 | 3
 828 | 2
 829 | 2
 830 | 2
 831 | 2
 832 | 2
 833 | 2
 834 | 2
 835 | 2
 836 | 2
 837 | 2
 838 | 2
 839 | 2
 840 | 2
 841 | 2
 842 | 2
 843 | 2
 844 | 3
 845 | 3
 846 | 3
 847 | 2
 848 | 2
 849 | 2
 850 | 2
 851 | 2
 852 | 2
 853 | 1
 854 | 1
 855 | 1
 856 | 1
 857 | 1
 858 | 1
 859 | 2
 860 | 3
 861 | 2
 862 | 2
 863 | 1
 864 | 1
 865 | 1
 866 | 1
 867 | 1
 868 | 1
 869 | 1
 870 | 2
 871 | 2
 872 | 2
 873 | 1
 874 | 1
 875 | 1
 876 | 1
 877 | 1
 878 | 1
 879 | 1
 880 | 1
 881 | 1
 882 | 1
 883 | 2
 884 | 2
 885 | 2
 886 | 2
 887 | 2
 888 | 2
 889 | 2
 890 | 2
 891 | 2
 892 | 2
 893 | 2
 894 | 2
 895 | 2
 896 | 2
 897 | 2
 898 | 2
 899 | 1
 900 | 1
 901 | 1
 902 | 2
 903 | 2
 904 | 2
 905 | 2
 906 | 2
 907 | 2
 908 | 2
 909 | 2
 910 | 1
 911 | 1
 912 | 1
 913 | 1
 914 | 2
 915 | 2
 916 | 2
 917 | 2
 918 | 2
 919 | 1
 920 | 1
 921 | 1
 922 | 1
 923 | 1
 924 | 1
 925 | 2
 926 | 2
 927 | 1
 928 | 2
 929 | 2
 930 | 1
 931 | 1
 932 | 1
 933 | 2
 934 | 2
 935 | 3
 936 | 3
 937 | 2
 938 | 3
 939 | 2
 940 | 3
 941 | 3
 942 | 3
 943 | 2
 944 | 2
 945 | 2
 946 | 2
 947 | 2
 948 | 2
 949 | 2
 950 | 2
 951 | 2
 952 | 2
 953 | 2
 954 | 2
 955 | 2
 956 | 2
 957 | 1
 958 | 1
 959 | 1
 960 | 1
 961 | 1
 962 | 1
 963 | 1
 964 | 1
 965 | 2
 966 | 2
 967 | 2
 968 | 2
 969 | 2
 970 | 3
 971 | 3
 972 | 2
 973 | 1
 974 | 2
 975 | 3
 976 | 3
 977 | 2
 978 | 2
 979 | 2
 980 | 2
 981 | 2
 982 | 2
 983 | 3
 984 | 2
 985 | 3
 986 | 3
 987 | 3
 988 | 3
 989 | 3
 990 | 3
 991 | 3
 992 | 3
 993 | 2
 994 | 2
 995 | 2
 996 | 2
 997 | 2
 998 | 2
 999 | 2
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x11.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 1
   3 | 1
   4 | 1
   5 | 1
   6 | 1
   7 | 1
   8 | 1
   9 | 1
  10 | 1
  11 | 1
  12 | 1
  13 | 1
  14 | 1
  15 | 1
  16 | 1
  17 | 1
  18 | 1
  19 | 1
  20 | 1
  21 | 1
  22 | 1
  23 | 1
  24 | 1
  25 | 1
  26 | 1
  27 | 1
  28 | 1
  29 | 1
  30 | 1
  31 | 1
  32 | 1
  33 | 1
  34 | 1
  35 | 2
  36 | 2
  37 | 2
  38 | 2
  39 | 2
  40 | 2
  41 | 1
  42 | 2
  43 | 1
  44 | 1
  45 | 1
  46 | 1
  47 | 1
  48 | 1
  49 | 1
  50 | 1
  51 | 1
  52 | 1
  53 | 1
  54 | 1
  55 | 1
  56 | 1
  57 | 1
  58 | 1
  59 | 1
  60 | 1
  61 | 1
  62 | 1
  63 | 2
  64 | 1
  65 | 1
  66 | 1
  67 | 1
  68 | 1
  69 | 1
  70 | 1
  71 | 1
  72 | 1
  73 | 1
  74 | 1
  75 | 1
  76 | 1
  77 | 1
  78 | 1
  79 | 1
  80 | 1
  81 | 1
  82 | 1
  83 | 2
  84 | 2
  85 | 2
  86 | 2
  87 | 2
  88 | 2
  89 | 1
  90 | 1
  91 | 1
  92 | 1
  93 | 1
  94 | 1
  95 | 1
  96 | 1
  97 | 1
  98 | 1
  99 | 1
 100 | 1
 101 | 1
 102 | 1
 103 | 1
 104 | 1
 105 | 1
 106 | 1
 107 | 1
 108 | 1
 109 | 1
 110 | 2
 111 | 2
 112 | 2
 113 | 1
 114 | 1
 115 | 1
 116 | 1
 117 | 1
 118 | 1
 119 | 1
 120 | 1
 121 | 1
 122 | 1
 123 | 1
 124 | 2
 125 | 2
 126 | 2
 127 | 2
 128 | 1
 129 | 1
 130 | 1
 131 | 1
 132 | 1
 133 | 1
 134 | 1
 135 | 1
 136 | 1
 137 | 2
 138 | 2
 139 | 3
 140 | 3
 141 | 1
 142 | 1
 143 | 1
 144 | 1
 145 | 1
 146 | 1
 147 | 1
 148 | 1
 149 | 1
 150 | 1
 151 | 1
 152 | 1
 153 | 1
 154 | 1
 155 | 1
 156 | 1
 157 | 1
 158 | 1
 159 | 1
 160 | 1
 161 | 1
 162 | 1
 163 | 1
 164 | 1
 165 | 1
 166 | 1
 167 | 1
 168 | 1
 169 | 1
 170 | 1
 171 | 1
 172 | 1
 173 | 1
 174 | 1
 175 | 1
 176 | 1
 177 | 1
 178 | 1
 179 | 1
 180 | 1
 181 | 1
 182 | 1
 183 | 1
 184 | 1
 185 | 1
 186 | 1
 187 | 1
 188 | 1
 189 | 2
 190 | 1
 191 | 1
 192 | 1
 193 | 1
 194 | 1
 195 | 1
 196 | 1
 197 | 1
 198 | 1
 199 | 1
 200 | 1
 201 | 1
 202 | 1
 203 | 1
 204 | 1
 205 | 1
 206 | 1
 207 | 1
 208 | 1
 209 | 1
 210 | 1
 211 | 1
 212 | 2
 213 | 2
 214 | 2
 215 | 2
 216 | 2
 217 | 2
 218 | 2
 219 | 2
 220 | 2
 221 | 2
 222 | 2
 223 | 2
 224 | 1
 225 | 2
 226 | 2
 227 | 1
 228 | 1
 229 | 1
 230 | 2
 231 | 2
 232 | 2
 233 | 2
 234 | 2
 235 | 2
 236 | 2
 237 | 1
 238 | 1
 239 | 1
 240 | 1
 241 | 2
 242 | 2
 243 | 2
 244 | 2
 245 | 2
 246 | 2
 247 | 2
 248 | 2
 249 | 2
 250 | 2
 251 | 2
 252 | 2
 253 | 2
 254 | 2
 255 | 2
 256 | 2
 257 | 2
 258 | 3
 259 | 3
 260 | 3
 261 | 2
 262 | 2
 263 | 1
 264 | 1
 265 | 1
 266 | 1
 267 | 1
 268 | 1
 269 | 1
 270 | 1
 271 | 1
 272 | 1
 273 | 1
 274 | 1
 275 | 2
 276 | 2
 277 | 2
 278 | 1
 279 | 1
 280 | 1
 281 | 1
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 1
 292 | 1
 293 | 1
 294 | 1
 295 | 1
 296 | 2
 297 | 2
 298 | 2
 299 | 2
 300 | 2
 301 | 2
 302 | 2
 303 | 2
 304 | 2
 305 | 2
 306 | 2
 307 | 1
 308 | 2
 309 | 2
 310 | 2
 311 | 2
 312 | 2
 313 | 2
 314 | 2
 315 | 2
 316 | 2
 317 | 2
 318 | 2
 319 | 2
 320 | 2
 321 | 1
 322 | 1
 323 | 1
 324 | 1
 325 | 1
 326 | 1
 327 | 2
 328 | 2
 329 | 2
 330 | 2
 331 | 2
 332 | 3
 333 | 2
 334 | 1
 335 | 1
 336 | 1
 337 | 1
 338 | 1
 339 | 1
 340 | 1
 341 | 1
 342 | 1
 343 | 1
 344 | 1
 345 | 2
 346 | 2
 347 | 2
 348 | 2
 349 | 2
 350 | 2
 351 | 1
 352 | 1
 353 | 1
 354 | 1
 355 | 1
 356 | 1
 357 | 1
 358 | 1
 359 | 1
 360 | 1
 361 | 1
 362 | 1
 363 | 1
 364 | 1
 365 | 1
 366 | 1
 367 | 1
 368 | 1
 369 | 1
 370 | 1
 371 | 1
 372 | 1
 373 | 1
 374 | 1
 375 | 1
 376 | 2
 377 | 1
 378 | 1
 379 | 1
 380 | 1
 381 | 1
 382 | 1
 383 | 1
 384 | 1
 385 | 1
 386 | 1
 387 | 1
 388 | 1
 389 | 2
 390 | 2
 391 | 2
 392 | 2
 393 | 1
 394 | 1
 395 | 1
 396 | 1
 397 | 1
 398 | 1
 399 | 1
 400 | 1
 401 | 1
 402 | 1
 403 | 1
 404 | 1
 405 | 1
 406 | 1
 407 | 1
 408 | 1
 409 | 2
 410 | 1
 411 | 1
 412 | 1
 413 | 1
 414 | 1
 415 | 1
 416 | 1
 417 | 1
 418 | 1
 419 | 1
 420 | 1
 421 | 1
 422 | 2
 423 | 2
 424 | 2
 425 | 2
 426 | 2
 427 | 2
 428 | 2
 429 | 1
 430 | 1
 431 | 1
 432 | 1
 433 | 1
 434 | 1
 435 | 1
 436 | 1
 437 | 1
 438 | 2
 439 | 2
 440 | 2
 441 | 3
 442 | 3
 443 | 3
 444 | 3
 445 | 3
 446 | 3
 447 | 2
 448 | 2
 449 | 2
 450 | 2
 451 | 2
 452 | 2
 453 | 2
 454 | 2
 455 | 2
 456 | 2
 457 | 2
 458 | 2
 459 | 2
 460 | 2
 461 | 2
 462 | 2
 463 | 2
 464 | 2
 465 | 1
 466 | 1
 467 | 1
 468 | 1
 469 | 1
 470 | 1
 471 | 1
 472 | 1
 473 | 1
 474 | 1
 475 | 1
 476 | 1
 477 | 1
 478 | 1
 479 | 1
 480 | 1
 481 | 1
 482 | 1
 483 | 1
 484 | 1
 485 | 1
 486 | 1
 487 | 1
 488 | 2
 489 | 2
 490 | 2
 491 | 1
 492 | 1
 493 | 1
 494 | 1
 495 | 1
 496 | 1
 497 | 1
 498 | 1
 499 | 1
 500 | 2
 501 | 2
 502 | 2
 503 | 2
 504 | 2
 505 | 2
 506 | 2
 507 | 2
 508 | 3
 509 | 3
 510 | 3
 511 | 3
 512 | 3
 513 | 3
 514 | 3
 515 | 2
 516 | 2
 517 | 2
 518 | 2
 519 | 2
 520 | 2
 521 | 2
 522 | 2
 523 | 2
 524 | 2
 525 | 2
 526 | 2
 527 | 1
 528 | 2
 529 | 2
 530 | 1
 531 | 1
 532 | 1
 533 | 2
 534 | 1
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 1
 542 | 1
 543 | 1
 544 | 2
 545 | 2
 546 | 1
 547 | 1
 548 | 2
 549 | 2
 550 | 2
 551 | 2
 552 | 1
 553 | 1
 554 | 1
 555 | 1
 556 | 1
 557 | 1
 558 | 1
 559 | 1
 560 | 1
 561 | 1
 562 | 2
 563 | 1
 564 | 1
 565 | 1
 566 | 1
 567 | 1
 568 | 2
 569 | 2
 570 | 2
 571 | 2
 572 | 2
 573 | 1
 574 | 1
 575 | 1
 576 | 1
 577 | 1
 578 | 2
 579 | 2
 580 | 2
 581 | 1
 582 | 2
 583 | 2
 584 | 2
 585 | 2
 586 | 1
 587 | 1
 588 | 1
 589 | 1
 590 | 1
 591 | 1
 592 | 1
 593 | 1
 594 | 1
 595 | 1
 596 | 1
 597 | 1
 598 | 1
 599 | 1
 600 | 1
 601 | 1
 602 | 1
 603 | 1
 604 | 1
 605 | 1
 606 | 1
 607 | 1
 608 | 2
 609 | 2
 610 | 2
 611 | 2
 612 | 2
 613 | 2
 614 | 2
 615 | 2
 616 | 2
 617 | 2
 618 | 2
 619 | 2
 620 | 2
 621 | 1
 622 | 1
 623 | 1
 624 | 1
 625 | 1
 626 | 1
 627 | 1
 628 | 1
 629 | 1
 630 | 1
 631 | 1
 632 | 2
 633 | 1
 634 | 1
 635 | 1
 636 | 2
 637 | 2
 638 | 2
 639 | 2
 640 | 2
 641 | 2
 642 | 2
 643 | 2
 644 | 2
 645 | 2
 646 | 1
 647 | 1
 648 | 1
 649 | 1
 650 | 1
 651 | 1
 652 | 1
 653 | 1
 654 | 1
 655 | 1
 656 | 1
 657 | 2
 658 | 2
 659 | 2
 660 | 1
 661 | 1
 662 | 1
 663 | 1
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 1
 671 | 1
 672 | 1
 673 | 1
 674 | 1
 675 | 2
 676 | 2
 677 | 2
 678 | 2
 679 | 2
 680 | 2
 681 | 2
 682 | 2
 683 | 2
 684 | 2
 685 | 2
 686 | 2
 687 | 2
 688 | 2
 689 | 2
 690 | 2
 691 | 2
 692 | 1
 693 | 2
 694 | 3
 695 | 3
 696 | 2
 697 | 2
 698 | 2
 699 | 2
 700 | 2
 701 | 2
 702 | 2
 703 | 2
 704 | 2
 705 | 1
 706 | 1
 707 | 1
 708 | 1
 709 | 1
 710 | 1
 711 | 1
 712 | 2
 713 | 2
 714 | 2
 715 | 2
 716 | 2
 717 | 2
 718 | 2
 719 | 3
 720 | 3
 721 | 1
 722 | 1
 723 | 1
 724 | 1
 725 | 1
 726 | 1
 727 | 1
 728 | 1
 729 | 1
 730 | 1
 731 | 1
 732 | 1
 733 | 1
 734 | 1
 735 | 1
 736 | 1
 737 | 1
 738 | 1
 739 | 1
 740 | 2
 741 | 2
 742 | 2
 743 | 2
 744 | 1
 745 | 1
 746 | 1
 747 | 1
 748 | 1
 749 | 1
 750 | 1
 751 | 1
 752 | 1
 753 | 1
 754 | 1
 755 | 1
 756 | 1
 757 | 1
 758 | 1
 759 | 1
 760 | 1
 761 | 1
 762 | 1
 763 | 1
 764 | 1
 765 | 1
 766 | 1
 767 | 1
 768 | 1
 769 | 1
 770 | 1
 771 | 1
 772 | 1
 773 | 2
 774 | 3
 775 | 1
 776 | 1
 777 | 1
 778 | 1
 779 | 2
 780 | 2
 781 | 2
 782 | 2
 783 | 2
 784 | 2
 785 | 2
 786 | 2
 787 | 3
 788 | 3
 789 | 3
 790 | 3
 791 | 3
 792 | 3
 793 | 1
 794 | 1
 795 | 1
 796 | 1
 797 | 2
 798 | 1
 799 | 1
 800 | 1
 801 | 1
 802 | 1
 803 | 1
 804 | 1
 805 | 1
 806 | 1
 807 | 1
 808 | 1
 809 | 1
 810 | 1
 811 | 1
 812 | 1
 813 | 1
 814 | 1
 815 | 1
 816 | 1
 817 | 1
 818 | 1
 819 | 1
 820 | 1
 821 | 2
 822 | 2
 823 | 2
 824 | 2
 825 | 2
 826 | 1
 827 | 1
 828 | 1
 829 | 2
 830 | 2
 831 | 1
 832 | 1
 833 | 1
 834 | 1
 835 | 1
 836 | 2
 837 | 1
 838 | 1
 839 | 1
 840 | 1
 841 | 1
 842 | 1
 843 | 2
 844 | 2
 845 | 2
 846 | 1
 847 | 1
 848 | 1
 849 | 1
 850 | 1
 851 | 1
 852 | 1
 853 | 1
 854 | 1
 855 | 1
 856 | 1
 857 | 1
 858 | 1
 859 | 1
 860 | 1
 861 | 1
 862 | 1
 863 | 1
 864 | 1
 865 | 1
 866 | 1
 867 | 1
 868 | 1
 869 | 2
 870 | 2
 871 | 2
 872 | 2
 873 | 2
 874 | 2
 875 | 2
 876 | 2
 877 | 2
 878 | 2
 879 | 2
 880 | 2
 881 | 2
 882 | 2
 883 | 1
 884 | 1
 885 | 2
 886 | 2
 887 | 2
 888 | 2
 889 | 2
 890 | 2
 891 | 2
 892 | 2
 893 | 2
 894 | 2
 895 | 1
 896 | 1
 897 | 1
 898 | 1
 899 | 1
 900 | 1
 901 | 1
 902 | 2
 903 | 2
 904 | 2
 905 | 2
 906 | 2
 907 | 1
 908 | 1
 909 | 1
 910 | 1
 911 | 1
 912 | 1
 913 | 1
 914 | 1
 915 | 1
 916 | 1
 917 | 1
 918 | 1
 919 | 1
 920 | 1
 921 | 1
 922 | 1
 923 | 1
 924 | 1
 925 | 1
 926 | 1
 927 | 1
 928 | 1
 929 | 1
 930 | 2
 931 | 2
 932 | 2
 933 | 2
 934 | 2
 935 | 2
 936 | 2
 937 | 2
 938 | 2
 939 | 2
 940 | 2
 941 | 1
 942 | 1
 943 | 1
 944 | 1
 945 | 1
 946 | 1
 947 | 1
 948 | 1
 949 | 1
 950 | 1
 951 | 1
 952 | 1
 953 | 1
 954 | 1
 955 | 1
 956 | 1
 957 | 1
 958 | 1
 959 | 1
 960 | 2
 961 | 2
 962 | 2
 963 | 2
 964 | 2
 965 | 2
 966 | 2
 967 | 2
 968 | 1
 969 | 2
 970 | 2
 971 | 1
 972 | 2
 973 | 2
 974 | 2
 975 | 2
 976 | 2
 977 | 2
 978 | 2
 979 | 2
 980 | 1
 981 | 1
 982 | 1
 983 | 1
 984 | 1
 985 | 2
 986 | 3
 987 | 3
 988 | 3
 989 | 3
 990 | 3
 991 | 2
 992 | 2
 993 | 3
 994 | 3
 995 | 1
 996 | 1
 997 | 1
 998 | 1
 999 | 1
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x12.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 1
   3 | 1
   4 | 2
   5 | 2
   6 | 1
   7 | 2
   8 | 2
   9 | 2
  10 | 2
  11 | 2
  12 | 2
  13 | 1
  14 | 1
  15 | 1
  16 | 1
  17 | 1
  18 | 1
  19 | 1
  20 | 1
  21 | 1
  22 | 1
  23 | 2
  24 | 2
  25 | 2
  26 | 2
  27 | 2
  28 | 3
  29 | 3
  30 | 3
  31 | 3
  32 | 3
  33 | 2
  34 | 2
  35 | 2
  36 | 2
  37 | 2
  38 | 1
  39 | 1
  40 | 1
  41 | 1
  42 | 1
  43 | 1
  44 | 2
  45 | 2
  46 | 2
  47 | 2
  48 | 2
  49 | 2
  50 | 1
  51 | 1
  52 | 1
  53 | 1
  54 | 1
  55 | 1
  56 | 1
  57 | 1
  58 | 1
  59 | 1
  60 | 1
  61 | 1
  62 | 1
  63 | 1
  64 | 1
  65 | 1
  66 | 1
  67 | 2
  68 | 2
  69 | 2
  70 | 1
  71 | 1
  72 | 1
  73 | 2
  74 | 2
  75 | 2
  76 | 2
  77 | 2
  78 | 1
  79 | 1
  80 | 1
  81 | 1
  82 | 1
  83 | 1
  84 | 1
  85 | 1
  86 | 1
  87 | 1
  88 | 1
  89 | 1
  90 | 1
  91 | 1
  92 | 1
  93 | 1
  94 | 1
  95 | 1
  96 | 1
  97 | 1
  98 | 1
  99 | 1
 100 | 1
 101 | 1
 102 | 1
 103 | 1
 104 | 1
 105 | 1
 106 | 2
 107 | 2
 108 | 2
 109 | 2
 110 | 2
 111 | 2
 112 | 2
 113 | 2
 114 | 1
 115 | 1
 116 | 1
 117 | 1
 118 | 1
 119 | 1
 120 | 1
 121 | 1
 122 | 2
 123 | 2
 124 | 1
 125 | 1
 126 | 1
 127 | 1
 128 | 1
 129 | 1
 130 | 1
 131 | 1
 132 | 1
 133 | 2
 134 | 2
 135 | 2
 136 | 2
 137 | 2
 138 | 1
 139 | 1
 140 | 1
 141 | 1
 142 | 1
 143 | 1
 144 | 1
 145 | 1
 146 | 1
 147 | 1
 148 | 1
 149 | 1
 150 | 1
 151 | 2
 152 | 2
 153 | 1
 154 | 1
 155 | 1
 156 | 1
 157 | 1
 158 | 1
 159 | 1
 160 | 1
 161 | 2
 162 | 2
 163 | 2
 164 | 1
 165 | 1
 166 | 1
 167 | 2
 168 | 2
 169 | 1
 170 | 1
 171 | 1
 172 | 1
 173 | 2
 174 | 1
 175 | 1
 176 | 1
 177 | 1
 178 | 1
 179 | 1
 180 | 1
 181 | 1
 182 | 1
 183 | 1
 184 | 1
 185 | 1
 186 | 1
 187 | 1
 188 | 1
 189 | 1
 190 | 1
 191 | 1
 192 | 1
 193 | 2
 194 | 2
 195 | 2
 196 | 2
 197 | 1
 198 | 1
 199 | 1
 200 | 1
 201 | 1
 202 | 1
 203 | 1
 204 | 2
 205 | 2
 206 | 2
 207 | 2
 208 | 2
 209 | 1
 210 | 1
 211 | 1
 212 | 1
 213 | 1
 214 | 1
 215 | 1
 216 | 1
 217 | 1
 218 | 1
 219 | 1
 220 | 1
 221 | 1
 222 | 1
 223 | 1
 224 | 1
 225 | 1
 226 | 1
 227 | 1
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 2
 235 | 2
 236 | 1
 237 | 1
 238 | 2
 239 | 2
 240 | 2
 241 | 1
 242 | 1
 243 | 1
 244 | 1
 245 | 1
 246 | 1
 247 | 1
 248 | 2
 249 | 1
 250 | 1
 251 | 1
 252 | 1
 253 | 1
 254 | 1
 255 | 1
 256 | 1
 257 | 1
 258 | 2
 259 | 1
 260 | 1
 261 | 1
 262 | 1
 263 | 1
 264 | 1
 265 | 1
 266 | 1
 267 | 1
 268 | 2
 269 | 1
 270 | 1
 271 | 1
 272 | 1
 273 | 1
 274 | 2
 275 | 1
 276 | 1
 277 | 1
 278 | 1
 279 | 1
 280 | 1
 281 | 1
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 1
 292 | 1
 293 | 1
 294 | 1
 295 | 1
 296 | 1
 297 | 2
 298 | 2
 299 | 2
 300 | 2
 301 | 2
 302 | 2
 303 | 2
 304 | 2
 305 | 2
 306 | 1
 307 | 2
 308 | 2
 309 | 2
 310 | 2
 311 | 1
 312 | 1
 313 | 1
 314 | 1
 315 | 2
 316 | 2
 317 | 2
 318 | 1
 319 | 1
 320 | 1
 321 | 1
 322 | 1
 323 | 2
 324 | 3
 325 | 3
 326 | 3
 327 | 3
 328 | 3
 329 | 3
 330 | 2
 331 | 2
 332 | 2
 333 | 2
 334 | 2
 335 | 2
 336 | 2
 337 | 2
 338 | 1
 339 | 1
 340 | 1
 341 | 1
 342 | 1
 343 | 1
 344 | 1
 345 | 1
 346 | 1
 347 | 1
 348 | 1
 349 | 1
 350 | 1
 351 | 1
 352 | 1
 353 | 1
 354 | 2
 355 | 2
 356 | 2
 357 | 2
 358 | 3
 359 | 3
 360 | 3
 361 | 3
 362 | 3
 363 | 3
 364 | 3
 365 | 3
 366 | 3
 367 | 3
 368 | 3
 369 | 3
 370 | 1
 371 | 1
 372 | 1
 373 | 1
 374 | 1
 375 | 1
 376 | 1
 377 | 1
 378 | 1
 379 | 1
 380 | 2
 381 | 3
 382 | 3
 383 | 3
 384 | 3
 385 | 3
 386 | 3
 387 | 3
 388 | 2
 389 | 2
 390 | 1
 391 | 1
 392 | 1
 393 | 1
 394 | 1
 395 | 1
 396 | 2
 397 | 2
 398 | 2
 399 | 2
 400 | 2
 401 | 1
 402 | 1
 403 | 1
 404 | 1
 405 | 1
 406 | 2
 407 | 2
 408 | 1
 409 | 2
 410 | 2
 411 | 2
 412 | 2
 413 | 3
 414 | 3
 415 | 3
 416 | 3
 417 | 3
 418 | 3
 419 | 3
 420 | 3
 421 | 3
 422 | 3
 423 | 2
 424 | 3
 425 | 2
 426 | 2
 427 | 3
 428 | 3
 429 | 2
 430 | 2
 431 | 2
 432 | 2
 433 | 1
 434 | 1
 435 | 1
 436 | 2
 437 | 2
 438 | 2
 439 | 2
 440 | 2
 441 | 1
 442 | 2
 443 | 2
 444 | 2
 445 | 1
 446 | 1
 447 | 1
 448 | 1
 449 | 1
 450 | 1
 451 | 1
 452 | 1
 453 | 1
 454 | 1
 455 | 1
 456 | 1
 457 | 1
 458 | 1
 459 | 1
 460 | 1
 461 | 2
 462 | 2
 463 | 2
 464 | 2
 465 | 1
 466 | 1
 467 | 1
 468 | 1
 469 | 1
 470 | 1
 471 | 1
 472 | 1
 473 | 1
 474 | 1
 475 | 1
 476 | 1
 477 | 1
 478 | 1
 479 | 1
 480 | 1
 481 | 1
 482 | 1
 483 | 1
 484 | 2
 485 | 1
 486 | 1
 487 | 1
 488 | 1
 489 | 1
 490 | 1
 491 | 2
 492 | 1
 493 | 1
 494 | 1
 495 | 1
 496 | 1
 497 | 1
 498 | 1
 499 | 1
 500 | 1
 501 | 2
 502 | 2
 503 | 1
 504 | 1
 505 | 1
 506 | 2
 507 | 2
 508 | 2
 509 | 1
 510 | 1
 511 | 1
 512 | 1
 513 | 1
 514 | 2
 515 | 2
 516 | 1
 517 | 2
 518 | 1
 519 | 1
 520 | 1
 521 | 2
 522 | 2
 523 | 1
 524 | 1
 525 | 1
 526 | 1
 527 | 1
 528 | 1
 529 | 2
 530 | 1
 531 | 1
 532 | 1
 533 | 1
 534 | 1
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 1
 542 | 1
 543 | 1
 544 | 1
 545 | 1
 546 | 1
 547 | 1
 548 | 2
 549 | 2
 550 | 2
 551 | 1
 552 | 1
 553 | 1
 554 | 1
 555 | 1
 556 | 1
 557 | 1
 558 | 1
 559 | 1
 560 | 1
 561 | 2
 562 | 2
 563 | 2
 564 | 2
 565 | 3
 566 | 2
 567 | 1
 568 | 1
 569 | 1
 570 | 1
 571 | 1
 572 | 1
 573 | 1
 574 | 1
 575 | 1
 576 | 1
 577 | 1
 578 | 1
 579 | 2
 580 | 2
 581 | 2
 582 | 2
 583 | 2
 584 | 2
 585 | 2
 586 | 2
 587 | 2
 588 | 2
 589 | 2
 590 | 2
 591 | 1
 592 | 1
 593 | 1
 594 | 1
 595 | 1
 596 | 2
 597 | 2
 598 | 2
 599 | 2
 600 | 2
 601 | 2
 602 | 2
 603 | 1
 604 | 1
 605 | 2
 606 | 2
 607 | 2
 608 | 2
 609 | 2
 610 | 2
 611 | 2
 612 | 2
 613 | 1
 614 | 1
 615 | 1
 616 | 1
 617 | 1
 618 | 1
 619 | 1
 620 | 1
 621 | 1
 622 | 1
 623 | 1
 624 | 1
 625 | 1
 626 | 1
 627 | 1
 628 | 1
 629 | 1
 630 | 1
 631 | 1
 632 | 2
 633 | 2
 634 | 1
 635 | 1
 636 | 1
 637 | 2
 638 | 2
 639 | 2
 640 | 2
 641 | 2
 642 | 2
 643 | 2
 644 | 2
 645 | 2
 646 | 2
 647 | 1
 648 | 1
 649 | 1
 650 | 2
 651 | 2
 652 | 1
 653 | 1
 654 | 1
 655 | 1
 656 | 1
 657 | 1
 658 | 1
 659 | 1
 660 | 1
 661 | 1
 662 | 1
 663 | 1
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 1
 671 | 1
 672 | 1
 673 | 1
 674 | 1
 675 | 1
 676 | 1
 677 | 2
 678 | 3
 679 | 3
 680 | 3
 681 | 3
 682 | 2
 683 | 3
 684 | 3
 685 | 2
 686 | 2
 687 | 2
 688 | 2
 689 | 2
 690 | 3
 691 | 3
 692 | 1
 693 | 1
 694 | 1
 695 | 1
 696 | 2
 697 | 2
 698 | 2
 699 | 1
 700 | 1
 701 | 1
 702 | 1
 703 | 1
 704 | 1
 705 | 2
 706 | 2
 707 | 2
 708 | 2
 709 | 1
 710 | 1
 711 | 1
 712 | 1
 713 | 1
 714 | 2
 715 | 2
 716 | 2
 717 | 2
 718 | 2
 719 | 2
 720 | 1
 721 | 1
 722 | 1
 723 | 1
 724 | 1
 725 | 1
 726 | 1
 727 | 1
 728 | 2
 729 | 2
 730 | 2
 731 | 2
 732 | 2
 733 | 1
 734 | 1
 735 | 1
 736 | 1
 737 | 1
 738 | 1
 739 | 1
 740 | 1
 741 | 1
 742 | 1
 743 | 1
 744 | 1
 745 | 1
 746 | 1
 747 | 1
 748 | 2
 749 | 2
 750 | 2
 751 | 2
 752 | 2
 753 | 2
 754 | 2
 755 | 3
 756 | 3
 757 | 2
 758 | 2
 759 | 3
 760 | 3
 761 | 2
 762 | 1
 763 | 1
 764 | 1
 765 | 1
 766 | 1
 767 | 1
 768 | 1
 769 | 1
 770 | 1
 771 | 2
 772 | 2
 773 | 1
 774 | 1
 775 | 1
 776 | 1
 777 | 1
 778 | 1
 779 | 1
 780 | 1
 781 | 1
 782 | 2
 783 | 2
 784 | 2
 785 | 1
 786 | 1
 787 | 2
 788 | 2
 789 | 1
 790 | 2
 791 | 1
 792 | 1
 793 | 1
 794 | 1
 795 | 1
 796 | 1
 797 | 1
 798 | 2
 799 | 2
 800 | 2
 801 | 2
 802 | 2
 803 | 1
 804 | 1
 805 | 1
 806 | 2
 807 | 2
 808 | 2
 809 | 2
 810 | 2
 811 | 1
 812 | 1
 813 | 1
 814 | 1
 815 | 1
 816 | 1
 817 | 1
 818 | 1
 819 | 1
 820 | 1
 821 | 1
 822 | 2
 823 | 2
 824 | 2
 825 | 2
 826 | 2
 827 | 2
 828 | 1
 829 | 1
 830 | 1
 831 | 1
 832 | 1
 833 | 1
 834 | 1
 835 | 1
 836 | 1
 837 | 1
 838 | 1
 839 | 1
 840 | 2
 841 | 2
 842 | 2
 843 | 2
 844 | 2
 845 | 2
 846 | 2
 847 | 2
 848 | 2
 849 | 2
 850 | 1
 851 | 2
 852 | 2
 853 | 2
 854 | 2
 855 | 2
 856 | 2
 857 | 2
 858 | 2
 859 | 2
 860 | 2
 861 | 2
 862 | 1
 863 | 1
 864 | 1
 865 | 1
 866 | 1
 867 | 1
 868 | 1
 869 | 1
 870 | 1
 871 | 1
 872 | 1
 873 | 2
 874 | 2
 875 | 2
 876 | 2
 877 | 2
 878 | 2
 879 | 1
 880 | 2
 881 | 2
 882 | 1
 883 | 1
 884 | 1
 885 | 2
 886 | 2
 887 | 2
 888 | 2
 889 | 2
 890 | 2
 891 | 2
 892 | 2
 893 | 2
 894 | 2
 895 | 2
 896 | 2
 897 | 2
 898 | 2
 899 | 2
 900 | 2
 901 | 2
 902 | 2
 903 | 2
 904 | 2
 905 | 3
 906 | 3
 907 | 3
 908 | 1
 909 | 1
 910 | 1
 911 | 1
 912 | 1
 913 | 1
 914 | 1
 915 | 1
 916 | 1
 917 | 1
 918 | 1
 919 | 1
 920 | 2
 921 | 1
 922 | 1
 923 | 1
 924 | 1
 925 | 1
 926 | 1
 927 | 1
 928 | 1
 929 | 1
 930 | 2
 931 | 2
 932 | 2
 933 | 2
 934 | 1
 935 | 1
 936 | 1
 937 | 1
 938 | 1
 939 | 2
 940 | 2
 941 | 2
 942 | 2
 943 | 2
 944 | 2
 945 | 2
 946 | 2
 947 | 2
 948 | 2
 949 | 3
 950 | 2
 951 | 2
 952 | 2
 953 | 2
 954 | 1
 955 | 1
 956 | 1
 957 | 1
 958 | 1
 959 | 1
 960 | 1
 961 | 1
 962 | 2
 963 | 2
 964 | 2
 965 | 2
 966 | 3
 967 | 3
 968 | 3
 969 | 2
 970 | 2
 971 | 2
 972 | 2
 973 | 2
 974 | 2
 975 | 2
 976 | 2
 977 | 2
 978 | 2
 979 | 2
 980 | 2
 981 | 2
 982 | 2
 983 | 2
 984 | 3
 985 | 3
 986 | 3
 987 | 3
 988 | 3
 989 | 3
 990 | 3
 991 | 3
 992 | 2
 993 | 2
 994 | 1
 995 | 1
 996 | 1
 997 | 1
 998 | 1
 999 | 1
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x13.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 2
   3 | 1
   4 | 1
   5 | 1
   6 | 1
   7 | 1
   8 | 1
   9 | 1
  10 | 1
  11 | 1
  12 | 1
  13 | 1
  14 | 1
  15 | 1
  16 | 1
  17 | 1
  18 | 1
  19 | 1
  20 | 1
  21 | 1
  22 | 1
  23 | 1
  24 | 1
  25 | 1
  26 | 1
  27 | 1
  28 | 1
  29 | 1
  30 | 1
  31 | 1
  32 | 1
  33 | 1
  34 | 1
  35 | 1
  36 | 1
  37 | 1
  38 | 1
  39 | 1
  40 | 1
  41 | 1
  42 | 1
  43 | 1
  44 | 1
  45 | 1
  46 | 1
  47 | 1
  48 | 1
  49 | 1
  50 | 1
  51 | 1
  52 | 1
  53 | 1
  54 | 1
  55 | 1
  56 | 1
  57 | 1
  58 | 1
  59 | 1
  60 | 1
  61 | 1
  62 | 1
  63 | 1
  64 | 1
  65 | 1
  66 | 1
  67 | 1
  68 | 1
  69 | 1
  70 | 1
  71 | 1
  72 | 1
  73 | 2
  74 | 2
  75 | 2
  76 | 1
  77 | 2
  78 | 1
  79 | 1
  80 | 2
  81 | 2
  82 | 2
  83 | 2
  84 | 2
  85 | 2
  86 | 2
  87 | 1
  88 | 1
  89 | 1
  90 | 1
  91 | 1
  92 | 1
  93 | 1
  94 | 2
  95 | 2
  96 | 2
  97 | 2
  98 | 2
  99 | 2
 100 | 1
 101 | 1
 102 | 1
 103 | 1
 104 | 1
 105 | 1
 106 | 1
 107 | 1
 108 | 1
 109 | 1
 110 | 1
 111 | 1
 112 | 1
 113 | 1
 114 | 1
 115 | 1
 116 | 1
 117 | 1
 118 | 1
 119 | 1
 120 | 1
 121 | 2
 122 | 2
 123 | 3
 124 | 3
 125 | 3
 126 | 2
 127 | 3
 128 | 3
 129 | 3
 130 | 3
 131 | 2
 132 | 2
 133 | 1
 134 | 1
 135 | 1
 136 | 1
 137 | 1
 138 | 1
 139 | 1
 140 | 1
 141 | 1
 142 | 1
 143 | 1
 144 | 1
 145 | 1
 146 | 1
 147 | 2
 148 | 2
 149 | 2
 150 | 2
 151 | 2
 152 | 1
 153 | 1
 154 | 1
 155 | 1
 156 | 1
 157 | 1
 158 | 1
 159 | 1
 160 | 1
 161 | 1
 162 | 1
 163 | 1
 164 | 1
 165 | 1
 166 | 1
 167 | 1
 168 | 2
 169 | 2
 170 | 2
 171 | 2
 172 | 2
 173 | 2
 174 | 3
 175 | 3
 176 | 3
 177 | 2
 178 | 2
 179 | 2
 180 | 2
 181 | 2
 182 | 2
 183 | 2
 184 | 2
 185 | 2
 186 | 1
 187 | 1
 188 | 2
 189 | 2
 190 | 2
 191 | 2
 192 | 2
 193 | 2
 194 | 2
 195 | 1
 196 | 1
 197 | 1
 198 | 1
 199 | 1
 200 | 1
 201 | 1
 202 | 1
 203 | 1
 204 | 1
 205 | 1
 206 | 1
 207 | 2
 208 | 2
 209 | 2
 210 | 2
 211 | 2
 212 | 2
 213 | 1
 214 | 1
 215 | 1
 216 | 1
 217 | 1
 218 | 1
 219 | 1
 220 | 1
 221 | 1
 222 | 1
 223 | 1
 224 | 1
 225 | 1
 226 | 1
 227 | 1
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 2
 235 | 2
 236 | 1
 237 | 1
 238 | 1
 239 | 1
 240 | 1
 241 | 1
 242 | 1
 243 | 1
 244 | 1
 245 | 1
 246 | 1
 247 | 1
 248 | 1
 249 | 1
 250 | 1
 251 | 1
 252 | 1
 253 | 1
 254 | 2
 255 | 2
 256 | 2
 257 | 2
 258 | 3
 259 | 3
 260 | 3
 261 | 3
 262 | 3
 263 | 3
 264 | 3
 265 | 1
 266 | 1
 267 | 1
 268 | 1
 269 | 1
 270 | 1
 271 | 1
 272 | 2
 273 | 2
 274 | 2
 275 | 2
 276 | 1
 277 | 1
 278 | 1
 279 | 1
 280 | 1
 281 | 1
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 1
 292 | 1
 293 | 1
 294 | 1
 295 | 1
 296 | 1
 297 | 1
 298 | 1
 299 | 1
 300 | 1
 301 | 1
 302 | 1
 303 | 1
 304 | 1
 305 | 1
 306 | 1
 307 | 1
 308 | 1
 309 | 1
 310 | 1
 311 | 2
 312 | 2
 313 | 2
 314 | 2
 315 | 2
 316 | 3
 317 | 3
 318 | 3
 319 | 3
 320 | 3
 321 | 2
 322 | 2
 323 | 2
 324 | 2
 325 | 1
 326 | 2
 327 | 1
 328 | 2
 329 | 2
 330 | 1
 331 | 2
 332 | 2
 333 | 1
 334 | 1
 335 | 2
 336 | 2
 337 | 2
 338 | 2
 339 | 2
 340 | 2
 341 | 2
 342 | 2
 343 | 2
 344 | 1
 345 | 1
 346 | 1
 347 | 1
 348 | 1
 349 | 1
 350 | 1
 351 | 1
 352 | 1
 353 | 2
 354 | 2
 355 | 2
 356 | 2
 357 | 2
 358 | 2
 359 | 2
 360 | 2
 361 | 3
 362 | 2
 363 | 1
 364 | 1
 365 | 2
 366 | 2
 367 | 2
 368 | 1
 369 | 1
 370 | 1
 371 | 1
 372 | 2
 373 | 2
 374 | 2
 375 | 2
 376 | 2
 377 | 2
 378 | 1
 379 | 1
 380 | 1
 381 | 1
 382 | 1
 383 | 1
 384 | 1
 385 | 1
 386 | 1
 387 | 1
 388 | 2
 389 | 2
 390 | 2
 391 | 2
 392 | 1
 393 | 2
 394 | 2
 395 | 2
 396 | 2
 397 | 2
 398 | 2
 399 | 3
 400 | 3
 401 | 2
 402 | 2
 403 | 2
 404 | 1
 405 | 1
 406 | 1
 407 | 1
 408 | 2
 409 | 2
 410 | 2
 411 | 1
 412 | 1
 413 | 1
 414 | 1
 415 | 1
 416 | 1
 417 | 1
 418 | 1
 419 | 1
 420 | 1
 421 | 1
 422 | 1
 423 | 1
 424 | 1
 425 | 1
 426 | 1
 427 | 1
 428 | 1
 429 | 1
 430 | 1
 431 | 1
 432 | 1
 433 | 1
 434 | 1
 435 | 1
 436 | 1
 437 | 1
 438 | 1
 439 | 1
 440 | 1
 441 | 1
 442 | 2
 443 | 2
 444 | 2
 445 | 3
 446 | 3
 447 | 2
 448 | 2
 449 | 2
 450 | 1
 451 | 1
 452 | 1
 453 | 1
 454 | 1
 455 | 1
 456 | 1
 457 | 1
 458 | 1
 459 | 1
 460 | 2
 461 | 1
 462 | 1
 463 | 1
 464 | 2
 465 | 3
 466 | 3
 467 | 3
 468 | 2
 469 | 1
 470 | 1
 471 | 1
 472 | 1
 473 | 1
 474 | 2
 475 | 2
 476 | 2
 477 | 1
 478 | 1
 479 | 1
 480 | 1
 481 | 1
 482 | 1
 483 | 1
 484 | 1
 485 | 1
 486 | 1
 487 | 1
 488 | 1
 489 | 1
 490 | 1
 491 | 2
 492 | 1
 493 | 1
 494 | 1
 495 | 1
 496 | 1
 497 | 1
 498 | 1
 499 | 1
 500 | 1
 501 | 1
 502 | 1
 503 | 1
 504 | 1
 505 | 1
 506 | 1
 507 | 1
 508 | 1
 509 | 1
 510 | 1
 511 | 1
 512 | 1
 513 | 1
 514 | 1
 515 | 1
 516 | 1
 517 | 1
 518 | 1
 519 | 1
 520 | 1
 521 | 2
 522 | 2
 523 | 2
 524 | 2
 525 | 2
 526 | 2
 527 | 2
 528 | 1
 529 | 1
 530 | 1
 531 | 1
 532 | 1
 533 | 1
 534 | 1
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 1
 542 | 1
 543 | 1
 544 | 1
 545 | 1
 546 | 1
 547 | 1
 548 | 1
 549 | 1
 550 | 1
 551 | 1
 552 | 1
 553 | 1
 554 | 1
 555 | 1
 556 | 1
 557 | 1
 558 | 1
 559 | 1
 560 | 1
 561 | 1
 562 | 1
 563 | 1
 564 | 2
 565 | 1
 566 | 1
 567 | 1
 568 | 2
 569 | 2
 570 | 2
 571 | 2
 572 | 2
 573 | 2
 574 | 1
 575 | 1
 576 | 1
 577 | 1
 578 | 1
 579 | 1
 580 | 1
 581 | 1
 582 | 1
 583 | 1
 584 | 1
 585 | 1
 586 | 2
 587 | 2
 588 | 2
 589 | 2
 590 | 2
 591 | 2
 592 | 2
 593 | 2
 594 | 2
 595 | 2
 596 | 2
 597 | 2
 598 | 2
 599 | 2
 600 | 2
 601 | 2
 602 | 2
 603 | 2
 604 | 1
 605 | 1
 606 | 1
 607 | 1
 608 | 1
 609 | 1
 610 | 2
 611 | 2
 612 | 1
 613 | 1
 614 | 1
 615 | 1
 616 | 1
 617 | 1
 618 | 1
 619 | 2
 620 | 2
 621 | 2
 622 | 2
 623 | 2
 624 | 1
 625 | 1
 626 | 1
 627 | 1
 628 | 1
 629 | 1
 630 | 1
 631 | 1
 632 | 1
 633 | 1
 634 | 1
 635 | 1
 636 | 1
 637 | 1
 638 | 1
 639 | 1
 640 | 1
 641 | 1
 642 | 1
 643 | 1
 644 | 1
 645 | 2
 646 | 2
 647 | 1
 648 | 1
 649 | 1
 650 | 1
 651 | 1
 652 | 1
 653 | 1
 654 | 1
 655 | 1
 656 | 2
 657 | 2
 658 | 2
 659 | 2
 660 | 2
 661 | 2
 662 | 2
 663 | 1
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 1
 671 | 1
 672 | 1
 673 | 1
 674 | 1
 675 | 1
 676 | 1
 677 | 1
 678 | 1
 679 | 1
 680 | 2
 681 | 2
 682 | 2
 683 | 2
 684 | 2
 685 | 2
 686 | 2
 687 | 2
 688 | 2
 689 | 1
 690 | 1
 691 | 1
 692 | 1
 693 | 1
 694 | 1
 695 | 1
 696 | 1
 697 | 1
 698 | 1
 699 | 1
 700 | 1
 701 | 1
 702 | 1
 703 | 1
 704 | 1
 705 | 1
 706 | 1
 707 | 1
 708 | 1
 709 | 1
 710 | 1
 711 | 1
 712 | 1
 713 | 1
 714 | 1
 715 | 1
 716 | 1
 717 | 1
 718 | 1
 719 | 1
 720 | 1
 721 | 1
 722 | 1
 723 | 1
 724 | 1
 725 | 1
 726 | 1
 727 | 1
 728 | 1
 729 | 1
 730 | 1
 731 | 1
 732 | 1
 733 | 1
 734 | 1
 735 | 1
 736 | 1
 737 | 1
 738 | 1
 739 | 1
 740 | 1
 741 | 1
 742 | 1
 743 | 1
 744 | 2
 745 | 2
 746 | 2
 747 | 1
 748 | 1
 749 | 1
 750 | 1
 751 | 1
 752 | 1
 753 | 1
 754 | 1
 755 | 1
 756 | 1
 757 | 1
 758 | 1
 759 | 1
 760 | 1
 761 | 1
 762 | 1
 763 | 2
 764 | 2
 765 | 1
 766 | 1
 767 | 1
 768 | 1
 769 | 1
 770 | 1
 771 | 1
 772 | 1
 773 | 1
 774 | 1
 775 | 2
 776 | 1
 777 | 1
 778 | 1
 779 | 2
 780 | 2
 781 | 2
 782 | 2
 783 | 1
 784 | 1
 785 | 2
 786 | 2
 787 | 2
 788 | 2
 789 | 2
 790 | 1
 791 | 1
 792 | 1
 793 | 1
 794 | 1
 795 | 1
 796 | 1
 797 | 1
 798 | 1
 799 | 1
 800 | 2
 801 | 2
 802 | 2
 803 | 2
 804 | 2
 805 | 2
 806 | 2
 807 | 3
 808 | 1
 809 | 1
 810 | 1
 811 | 2
 812 | 1
 813 | 1
 814 | 1
 815 | 2
 816 | 1
 817 | 2
 818 | 2
 819 | 1
 820 | 1
 821 | 1
 822 | 1
 823 | 1
 824 | 2
 825 | 1
 826 | 1
 827 | 1
 828 | 1
 829 | 2
 830 | 3
 831 | 3
 832 | 3
 833 | 3
 834 | 3
 835 | 3
 836 | 3
 837 | 2
 838 | 1
 839 | 1
 840 | 1
 841 | 1
 842 | 1
 843 | 1
 844 | 1
 845 | 1
 846 | 1
 847 | 1
 848 | 1
 849 | 1
 850 | 1
 851 | 1
 852 | 1
 853 | 1
 854 | 1
 855 | 1
 856 | 1
 857 | 1
 858 | 1
 859 | 1
 860 | 1
 861 | 2
 862 | 2
 863 | 1
 864 | 1
 865 | 1
 866 | 1
 867 | 1
 868 | 2
 869 | 2
 870 | 2
 871 | 2
 872 | 2
 873 | 2
 874 | 2
 875 | 1
 876 | 1
 877 | 1
 878 | 1
 879 | 1
 880 | 1
 881 | 2
 882 | 1
 883 | 1
 884 | 1
 885 | 1
 886 | 1
 887 | 1
 888 | 1
 889 | 1
 890 | 1
 891 | 1
 892 | 1
 893 | 1
 894 | 1
 895 | 1
 896 | 1
 897 | 1
 898 | 1
 899 | 1
 900 | 1
 901 | 1
 902 | 1
 903 | 1
 904 | 1
 905 | 1
 906 | 1
 907 | 1
 908 | 2
 909 | 3
 910 | 3
 911 | 2
 912 | 2
 913 | 1
 914 | 1
 915 | 1
 916 | 1
 917 | 1
 918 | 1
 919 | 1
 920 | 1
 921 | 1
 922 | 1
 923 | 1
 924 | 1
 925 | 1
 926 | 1
 927 | 1
 928 | 2
 929 | 1
 930 | 1
 931 | 1
 932 | 1
 933 | 1
 934 | 1
 935 | 1
 936 | 1
 937 | 1
 938 | 1
 939 | 1
 940 | 1
 941 | 1
 942 | 1
 943 | 1
 944 | 1
 945 | 1
 946 | 1
 947 | 1
 948 | 1
 949 | 1
 950 | 1
 951 | 1
 952 | 1
 953 | 1
 954 | 1
 955 | 1
 956 | 1
 957 | 1
 958 | 1
 959 | 1
 960 | 1
 961 | 2
 962 | 2
 963 | 2
 964 | 2
 965 | 2
 966 | 2
 967 | 2
 968 | 1
 969 | 1
 970 | 1
 971 | 1
 972 | 1
 973 | 2
 974 | 2
 975 | 2
 976 | 1
 977 | 1
 978 | 1
 979 | 1
 980 | 1
 981 | 1
 982 | 1
 983 | 1
 984 | 2
 985 | 1
 986 | 2
 987 | 2
 988 | 2
 989 | 1
 990 | 1
 991 | 1
 992 | 1
 993 | 1
 994 | 1
 995 | 1
 996 | 1
 997 | 1
 998 | 1
 999 | 1
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x14.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 1
   3 | 1
   4 | 1
   5 | 1
   6 | 1
   7 | 1
   8 | 1
   9 | 1
  10 | 1
  11 | 1
  12 | 1
  13 | 1
  14 | 2
  15 | 2
  16 | 2
  17 | 2
  18 | 2
  19 | 2
  20 | 2
  21 | 2
  22 | 2
  23 | 2
  24 | 2
  25 | 2
  26 | 2
  27 | 2
  28 | 2
  29 | 2
  30 | 2
  31 | 2
  32 | 1
  33 | 1
  34 | 1
  35 | 1
  36 | 1
  37 | 1
  38 | 1
  39 | 2
  40 | 2
  41 | 2
  42 | 1
  43 | 2
  44 | 2
  45 | 2
  46 | 2
  47 | 2
  48 | 1
  49 | 1
  50 | 1
  51 | 1
  52 | 2
  53 | 1
  54 | 1
  55 | 1
  56 | 1
  57 | 2
  58 | 2
  59 | 2
  60 | 2
  61 | 2
  62 | 2
  63 | 2
  64 | 2
  65 | 1
  66 | 1
  67 | 1
  68 | 2
  69 | 2
  70 | 2
  71 | 2
  72 | 1
  73 | 1
  74 | 1
  75 | 1
  76 | 1
  77 | 1
  78 | 1
  79 | 1
  80 | 2
  81 | 2
  82 | 1
  83 | 1
  84 | 1
  85 | 1
  86 | 1
  87 | 1
  88 | 1
  89 | 1
  90 | 1
  91 | 2
  92 | 1
  93 | 1
  94 | 2
  95 | 2
  96 | 1
  97 | 1
  98 | 1
  99 | 1
 100 | 1
 101 | 1
 102 | 1
 103 | 2
 104 | 1
 105 | 1
 106 | 1
 107 | 1
 108 | 1
 109 | 1
 110 | 1
 111 | 1
 112 | 1
 113 | 1
 114 | 1
 115 | 1
 116 | 1
 117 | 1
 118 | 1
 119 | 1
 120 | 1
 121 | 1
 122 | 1
 123 | 1
 124 | 1
 125 | 1
 126 | 1
 127 | 1
 128 | 1
 129 | 1
 130 | 1
 131 | 1
 132 | 1
 133 | 1
 134 | 1
 135 | 1
 136 | 2
 137 | 2
 138 | 2
 139 | 2
 140 | 2
 141 | 2
 142 | 1
 143 | 1
 144 | 1
 145 | 1
 146 | 1
 147 | 1
 148 | 1
 149 | 1
 150 | 1
 151 | 2
 152 | 2
 153 | 1
 154 | 1
 155 | 1
 156 | 1
 157 | 1
 158 | 1
 159 | 1
 160 | 1
 161 | 1
 162 | 1
 163 | 1
 164 | 1
 165 | 1
 166 | 1
 167 | 1
 168 | 1
 169 | 1
 170 | 1
 171 | 1
 172 | 1
 173 | 1
 174 | 1
 175 | 1
 176 | 2
 177 | 2
 178 | 2
 179 | 2
 180 | 2
 181 | 2
 182 | 2
 183 | 1
 184 | 1
 185 | 1
 186 | 1
 187 | 2
 188 | 2
 189 | 2
 190 | 2
 191 | 2
 192 | 2
 193 | 2
 194 | 1
 195 | 1
 196 | 1
 197 | 1
 198 | 1
 199 | 1
 200 | 1
 201 | 1
 202 | 1
 203 | 1
 204 | 1
 205 | 1
 206 | 1
 207 | 2
 208 | 1
 209 | 1
 210 | 1
 211 | 1
 212 | 1
 213 | 1
 214 | 1
 215 | 1
 216 | 1
 217 | 1
 218 | 1
 219 | 1
 220 | 1
 221 | 1
 222 | 2
 223 | 2
 224 | 2
 225 | 2
 226 | 2
 227 | 2
 228 | 2
 229 | 2
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 1
 235 | 1
 236 | 1
 237 | 1
 238 | 1
 239 | 1
 240 | 1
 241 | 1
 242 | 1
 243 | 1
 244 | 2
 245 | 2
 246 | 2
 247 | 2
 248 | 1
 249 | 1
 250 | 1
 251 | 1
 252 | 1
 253 | 1
 254 | 1
 255 | 1
 256 | 1
 257 | 2
 258 | 2
 259 | 2
 260 | 2
 261 | 2
 262 | 2
 263 | 3
 264 | 3
 265 | 3
 266 | 3
 267 | 3
 268 | 2
 269 | 1
 270 | 1
 271 | 1
 272 | 1
 273 | 1
 274 | 1
 275 | 1
 276 | 1
 277 | 2
 278 | 2
 279 | 2
 280 | 2
 281 | 2
 282 | 1
 283 | 2
 284 | 2
 285 | 2
 286 | 2
 287 | 2
 288 | 3
 289 | 1
 290 | 1
 291 | 1
 292 | 1
 293 | 1
 294 | 1
 295 | 2
 296 | 2
 297 | 1
 298 | 1
 299 | 1
 300 | 2
 301 | 2
 302 | 2
 303 | 2
 304 | 2
 305 | 1
 306 | 1
 307 | 1
 308 | 1
 309 | 1
 310 | 1
 311 | 1
 312 | 2
 313 | 1
 314 | 1
 315 | 1
 316 | 2
 317 | 2
 318 | 3
 319 | 3
 320 | 2
 321 | 2
 322 | 2
 323 | 1
 324 | 1
 325 | 1
 326 | 1
 327 | 1
 328 | 1
 329 | 1
 330 | 1
 331 | 1
 332 | 1
 333 | 1
 334 | 1
 335 | 1
 336 | 1
 337 | 1
 338 | 1
 339 | 1
 340 | 1
 341 | 1
 342 | 1
 343 | 2
 344 | 2
 345 | 2
 346 | 2
 347 | 2
 348 | 2
 349 | 2
 350 | 2
 351 | 2
 352 | 2
 353 | 2
 354 | 2
 355 | 2
 356 | 2
 357 | 2
 358 | 2
 359 | 2
 360 | 1
 361 | 1
 362 | 1
 363 | 1
 364 | 1
 365 | 1
 366 | 1
 367 | 1
 368 | 1
 369 | 1
 370 | 1
 371 | 1
 372 | 2
 373 | 1
 374 | 1
 375 | 1
 376 | 1
 377 | 1
 378 | 2
 379 | 2
 380 | 2
 381 | 2
 382 | 2
 383 | 2
 384 | 2
 385 | 2
 386 | 2
 387 | 2
 388 | 2
 389 | 2
 390 | 2
 391 | 2
 392 | 2
 393 | 2
 394 | 1
 395 | 1
 396 | 1
 397 | 1
 398 | 1
 399 | 1
 400 | 1
 401 | 1
 402 | 2
 403 | 2
 404 | 2
 405 | 2
 406 | 2
 407 | 2
 408 | 2
 409 | 2
 410 | 1
 411 | 1
 412 | 1
 413 | 1
 414 | 2
 415 | 2
 416 | 2
 417 | 1
 418 | 1
 419 | 1
 420 | 1
 421 | 1
 422 | 1
 423 | 1
 424 | 1
 425 | 1
 426 | 1
 427 | 1
 428 | 1
 429 | 1
 430 | 1
 431 | 1
 432 | 1
 433 | 1
 434 | 1
 435 | 1
 436 | 1
 437 | 1
 438 | 1
 439 | 1
 440 | 2
 441 | 2
 442 | 2
 443 | 2
 444 | 2
 445 | 2
 446 | 2
 447 | 2
 448 | 2
 449 | 1
 450 | 1
 451 | 1
 452 | 1
 453 | 1
 454 | 1
 455 | 1
 456 | 1
 457 | 1
 458 | 1
 459 | 2
 460 | 2
 461 | 2
 462 | 1
 463 | 2
 464 | 2
 465 | 2
 466 | 3
 467 | 3
 468 | 3
 469 | 2
 470 | 2
 471 | 2
 472 | 2
 473 | 1
 474 | 1
 475 | 1
 476 | 1
 477 | 1
 478 | 1
 479 | 1
 480 | 1
 481 | 1
 482 | 1
 483 | 1
 484 | 2
 485 | 2
 486 | 2
 487 | 2
 488 | 2
 489 | 3
 490 | 3
 491 | 3
 492 | 3
 493 | 3
 494 | 3
 495 | 3
 496 | 2
 497 | 2
 498 | 2
 499 | 2
 500 | 1
 501 | 2
 502 | 1
 503 | 1
 504 | 1
 505 | 1
 506 | 2
 507 | 2
 508 | 2
 509 | 2
 510 | 2
 511 | 2
 512 | 2
 513 | 1
 514 | 1
 515 | 1
 516 | 1
 517 | 2
 518 | 3
 519 | 3
 520 | 3
 521 | 1
 522 | 1
 523 | 1
 524 | 1
 525 | 1
 526 | 1
 527 | 1
 528 | 1
 529 | 1
 530 | 1
 531 | 1
 532 | 1
 533 | 1
 534 | 2
 535 | 3
 536 | 3
 537 | 3
 538 | 3
 539 | 3
 540 | 3
 541 | 3
 542 | 3
 543 | 3
 544 | 3
 545 | 3
 546 | 3
 547 | 3
 548 | 3
 549 | 3
 550 | 3
 551 | 1
 552 | 1
 553 | 1
 554 | 2
 555 | 2
 556 | 2
 557 | 1
 558 | 2
 559 | 2
 560 | 3
 561 | 3
 562 | 3
 563 | 1
 564 | 1
 565 | 1
 566 | 1
 567 | 2
 568 | 2
 569 | 2
 570 | 2
 571 | 2
 572 | 2
 573 | 2
 574 | 2
 575 | 2
 576 | 2
 577 | 2
 578 | 2
 579 | 2
 580 | 1
 581 | 1
 582 | 1
 583 | 2
 584 | 2
 585 | 2
 586 | 2
 587 | 1
 588 | 1
 589 | 1
 590 | 2
 591 | 1
 592 | 1
 593 | 1
 594 | 2
 595 | 2
 596 | 1
 597 | 1
 598 | 1
 599 | 1
 600 | 1
 601 | 1
 602 | 1
 603 | 1
 604 | 2
 605 | 2
 606 | 2
 607 | 2
 608 | 1
 609 | 2
 610 | 3
 611 | 3
 612 | 3
 613 | 3
 614 | 2
 615 | 2
 616 | 2
 617 | 2
 618 | 1
 619 | 1
 620 | 1
 621 | 1
 622 | 1
 623 | 1
 624 | 1
 625 | 2
 626 | 1
 627 | 1
 628 | 1
 629 | 1
 630 | 1
 631 | 1
 632 | 1
 633 | 1
 634 | 1
 635 | 1
 636 | 1
 637 | 1
 638 | 1
 639 | 1
 640 | 1
 641 | 1
 642 | 2
 643 | 1
 644 | 1
 645 | 1
 646 | 2
 647 | 2
 648 | 2
 649 | 2
 650 | 2
 651 | 3
 652 | 2
 653 | 2
 654 | 3
 655 | 3
 656 | 3
 657 | 3
 658 | 3
 659 | 3
 660 | 3
 661 | 3
 662 | 3
 663 | 1
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 2
 669 | 2
 670 | 1
 671 | 1
 672 | 1
 673 | 2
 674 | 2
 675 | 2
 676 | 2
 677 | 2
 678 | 2
 679 | 2
 680 | 2
 681 | 2
 682 | 2
 683 | 2
 684 | 2
 685 | 1
 686 | 2
 687 | 2
 688 | 2
 689 | 2
 690 | 2
 691 | 2
 692 | 2
 693 | 1
 694 | 1
 695 | 1
 696 | 2
 697 | 2
 698 | 2
 699 | 2
 700 | 2
 701 | 2
 702 | 1
 703 | 1
 704 | 1
 705 | 1
 706 | 1
 707 | 1
 708 | 1
 709 | 1
 710 | 1
 711 | 1
 712 | 1
 713 | 1
 714 | 1
 715 | 2
 716 | 2
 717 | 2
 718 | 2
 719 | 2
 720 | 2
 721 | 2
 722 | 2
 723 | 2
 724 | 2
 725 | 2
 726 | 1
 727 | 1
 728 | 1
 729 | 1
 730 | 1
 731 | 1
 732 | 1
 733 | 1
 734 | 1
 735 | 1
 736 | 1
 737 | 1
 738 | 1
 739 | 1
 740 | 2
 741 | 2
 742 | 2
 743 | 2
 744 | 2
 745 | 2
 746 | 2
 747 | 2
 748 | 1
 749 | 1
 750 | 1
 751 | 1
 752 | 1
 753 | 2
 754 | 2
 755 | 2
 756 | 1
 757 | 1
 758 | 1
 759 | 2
 760 | 1
 761 | 1
 762 | 1
 763 | 1
 764 | 1
 765 | 1
 766 | 1
 767 | 1
 768 | 1
 769 | 1
 770 | 1
 771 | 1
 772 | 1
 773 | 1
 774 | 1
 775 | 2
 776 | 2
 777 | 2
 778 | 1
 779 | 1
 780 | 1
 781 | 1
 782 | 1
 783 | 1
 784 | 1
 785 | 1
 786 | 1
 787 | 1
 788 | 1
 789 | 1
 790 | 1
 791 | 1
 792 | 1
 793 | 1
 794 | 1
 795 | 1
 796 | 1
 797 | 1
 798 | 1
 799 | 1
 800 | 1
 801 | 1
 802 | 1
 803 | 1
 804 | 1
 805 | 1
 806 | 1
 807 | 1
 808 | 1
 809 | 1
 810 | 1
 811 | 1
 812 | 1
 813 | 1
 814 | 1
 815 | 2
 816 | 2
 817 | 1
 818 | 1
 819 | 1
 820 | 1
 821 | 1
 822 | 1
 823 | 1
 824 | 1
 825 | 1
 826 | 1
 827 | 1
 828 | 1
 829 | 1
 830 | 2
 831 | 2
 832 | 1
 833 | 1
 834 | 2
 835 | 2
 836 | 2
 837 | 2
 838 | 2
 839 | 2
 840 | 2
 841 | 1
 842 | 1
 843 | 1
 844 | 1
 845 | 1
 846 | 1
 847 | 1
 848 | 1
 849 | 2
 850 | 2
 851 | 1
 852 | 1
 853 | 1
 854 | 1
 855 | 1
 856 | 1
 857 | 1
 858 | 1
 859 | 2
 860 | 1
 861 | 1
 862 | 1
 863 | 1
 864 | 1
 865 | 1
 866 | 1
 867 | 1
 868 | 1
 869 | 2
 870 | 2
 871 | 2
 872 | 2
 873 | 2
 874 | 2
 875 | 2
 876 | 2
 877 | 2
 878 | 2
 879 | 2
 880 | 2
 881 | 2
 882 | 2
 883 | 2
 884 | 2
 885 | 2
 886 | 2
 887 | 2
 888 | 2
 889 | 1
 890 | 1
 891 | 1
 892 | 1
 893 | 1
 894 | 1
 895 | 1
 896 | 1
 897 | 2
 898 | 1
 899 | 1
 900 | 1
 901 | 1
 902 | 1
 903 | 1
 904 | 1
 905 | 1
 906 | 1
 907 | 1
 908 | 1
 909 | 1
 910 | 2
 911 | 2
 912 | 2
 913 | 1
 914 | 1
 915 | 1
 916 | 1
 917 | 2
 918 | 2
 919 | 1
 920 | 1
 921 | 1
 922 | 1
 923 | 1
 924 | 1
 925 | 2
 926 | 1
 927 | 1
 928 | 1
 929 | 1
 930 | 1
 931 | 1
 932 | 1
 933 | 1
 934 | 2
 935 | 2
 936 | 2
 937 | 2
 938 | 2
 939 | 2
 940 | 2
 941 | 2
 942 | 3
 943 | 3
 944 | 1
 945 | 1
 946 | 1
 947 | 1
 948 | 1
 949 | 1
 950 | 2
 951 | 2
 952 | 2
 953 | 2
 954 | 2
 955 | 3
 956 | 3
 957 | 3
 958 | 3
 959 | 1
 960 | 1
 961 | 1
 962 | 1
 963 | 1
 964 | 1
 965 | 1
 966 | 1
 967 | 1
 968 | 1
 969 | 1
 970 | 1
 971 | 2
 972 | 2
 973 | 2
 974 | 1
 975 | 1
 976 | 1
 977 | 1
 978 | 2
 979 | 3
 980 | 3
 981 | 1
 982 | 1
 983 | 1
 984 | 1
 985 | 1
 986 | 1
 987 | 1
 988 | 1
 989 | 1
 990 | 1
 991 | 1
 992 | 1
 993 | 1
 994 | 1
 995 | 1
 996 | 1
 997 | 1
 998 | 1
 999 | 1
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x15.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 1
   3 | 1
   4 | 1
   5 | 1
   6 | 1
   7 | 1
   8 | 1
   9 | 1
  10 | 1
  11 | 1
  12 | 1
  13 | 1
  14 | 1
  15 | 1
  16 | 1
  17 | 1
  18 | 2
  19 | 1
  20 | 1
  21 | 1
  22 | 1
  23 | 2
  24 | 1
  25 | 1
  26 | 1
  27 | 2
  28 | 2
  29 | 1
  30 | 1
  31 | 1
  32 | 2
  33 | 2
  34 | 2
  35 | 2
  36 | 2
  37 | 3
  38 | 3
  39 | 3
  40 | 3
  41 | 2
  42 | 1
  43 | 1
  44 | 1
  45 | 1
  46 | 1
  47 | 1
  48 | 1
  49 | 1
  50 | 1
  51 | 1
  52 | 1
  53 | 1
  54 | 1
  55 | 1
  56 | 1
  57 | 1
  58 | 1
  59 | 1
  60 | 1
  61 | 1
  62 | 1
  63 | 1
  64 | 1
  65 | 1
  66 | 1
  67 | 1
  68 | 1
  69 | 1
  70 | 1
  71 | 1
  72 | 2
  73 | 2
  74 | 2
  75 | 2
  76 | 2
  77 | 2
  78 | 1
  79 | 1
  80 | 1
  81 | 2
  82 | 1
  83 | 1
  84 | 1
  85 | 1
  86 | 1
  87 | 1
  88 | 1
  89 | 1
  90 | 1
  91 | 1
  92 | 1
  93 | 1
  94 | 1
  95 | 1
  96 | 1
  97 | 1
  98 | 1
  99 | 1
 100 | 1
 101 | 1
 102 | 2
 103 | 2
 104 | 2
 105 | 2
 106 | 2
 107 | 2
 108 | 1
 109 | 1
 110 | 1
 111 | 1
 112 | 1
 113 | 2
 114 | 1
 115 | 1
 116 | 1
 117 | 1
 118 | 1
 119 | 1
 120 | 1
 121 | 1
 122 | 1
 123 | 2
 124 | 3
 125 | 2
 126 | 2
 127 | 3
 128 | 2
 129 | 2
 130 | 1
 131 | 1
 132 | 1
 133 | 2
 134 | 2
 135 | 2
 136 | 1
 137 | 1
 138 | 1
 139 | 1
 140 | 1
 141 | 1
 142 | 1
 143 | 1
 144 | 1
 145 | 1
 146 | 1
 147 | 1
 148 | 1
 149 | 1
 150 | 1
 151 | 1
 152 | 1
 153 | 1
 154 | 2
 155 | 2
 156 | 2
 157 | 3
 158 | 3
 159 | 3
 160 | 2
 161 | 2
 162 | 1
 163 | 1
 164 | 2
 165 | 2
 166 | 1
 167 | 1
 168 | 1
 169 | 1
 170 | 1
 171 | 1
 172 | 1
 173 | 1
 174 | 1
 175 | 1
 176 | 1
 177 | 1
 178 | 1
 179 | 1
 180 | 1
 181 | 1
 182 | 1
 183 | 1
 184 | 1
 185 | 1
 186 | 2
 187 | 1
 188 | 1
 189 | 1
 190 | 1
 191 | 1
 192 | 2
 193 | 2
 194 | 2
 195 | 2
 196 | 2
 197 | 1
 198 | 1
 199 | 2
 200 | 2
 201 | 2
 202 | 2
 203 | 2
 204 | 2
 205 | 1
 206 | 1
 207 | 1
 208 | 1
 209 | 1
 210 | 1
 211 | 1
 212 | 1
 213 | 1
 214 | 1
 215 | 1
 216 | 2
 217 | 2
 218 | 2
 219 | 2
 220 | 2
 221 | 2
 222 | 2
 223 | 2
 224 | 2
 225 | 2
 226 | 2
 227 | 1
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 1
 235 | 1
 236 | 1
 237 | 1
 238 | 1
 239 | 1
 240 | 2
 241 | 3
 242 | 1
 243 | 1
 244 | 1
 245 | 1
 246 | 1
 247 | 1
 248 | 1
 249 | 1
 250 | 1
 251 | 1
 252 | 1
 253 | 1
 254 | 1
 255 | 1
 256 | 1
 257 | 1
 258 | 1
 259 | 1
 260 | 1
 261 | 1
 262 | 1
 263 | 1
 264 | 1
 265 | 1
 266 | 2
 267 | 2
 268 | 2
 269 | 3
 270 | 1
 271 | 1
 272 | 1
 273 | 1
 274 | 1
 275 | 1
 276 | 1
 277 | 1
 278 | 2
 279 | 2
 280 | 1
 281 | 1
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 1
 292 | 1
 293 | 1
 294 | 1
 295 | 1
 296 | 1
 297 | 1
 298 | 1
 299 | 1
 300 | 2
 301 | 2
 302 | 2
 303 | 1
 304 | 1
 305 | 1
 306 | 1
 307 | 1
 308 | 1
 309 | 1
 310 | 1
 311 | 1
 312 | 1
 313 | 1
 314 | 1
 315 | 1
 316 | 1
 317 | 1
 318 | 1
 319 | 1
 320 | 1
 321 | 1
 322 | 1
 323 | 1
 324 | 1
 325 | 1
 326 | 1
 327 | 1
 328 | 1
 329 | 1
 330 | 1
 331 | 1
 332 | 1
 333 | 2
 334 | 2
 335 | 2
 336 | 2
 337 | 2
 338 | 2
 339 | 2
 340 | 2
 341 | 2
 342 | 2
 343 | 3
 344 | 3
 345 | 1
 346 | 1
 347 | 1
 348 | 2
 349 | 2
 350 | 2
 351 | 2
 352 | 1
 353 | 1
 354 | 1
 355 | 1
 356 | 1
 357 | 1
 358 | 1
 359 | 1
 360 | 1
 361 | 2
 362 | 2
 363 | 2
 364 | 1
 365 | 1
 366 | 1
 367 | 2
 368 | 1
 369 | 1
 370 | 1
 371 | 1
 372 | 1
 373 | 1
 374 | 1
 375 | 2
 376 | 2
 377 | 2
 378 | 2
 379 | 2
 380 | 2
 381 | 2
 382 | 2
 383 | 2
 384 | 2
 385 | 2
 386 | 1
 387 | 1
 388 | 1
 389 | 1
 390 | 1
 391 | 2
 392 | 2
 393 | 2
 394 | 1
 395 | 1
 396 | 1
 397 | 1
 398 | 1
 399 | 2
 400 | 1
 401 | 1
 402 | 1
 403 | 1
 404 | 1
 405 | 1
 406 | 1
 407 | 1
 408 | 1
 409 | 1
 410 | 1
 411 | 1
 412 | 1
 413 | 1
 414 | 1
 415 | 1
 416 | 1
 417 | 1
 418 | 1
 419 | 1
 420 | 1
 421 | 1
 422 | 1
 423 | 1
 424 | 1
 425 | 1
 426 | 1
 427 | 2
 428 | 2
 429 | 1
 430 | 1
 431 | 1
 432 | 1
 433 | 1
 434 | 1
 435 | 1
 436 | 1
 437 | 1
 438 | 1
 439 | 1
 440 | 1
 441 | 2
 442 | 2
 443 | 2
 444 | 2
 445 | 2
 446 | 2
 447 | 1
 448 | 1
 449 | 1
 450 | 1
 451 | 1
 452 | 1
 453 | 1
 454 | 1
 455 | 1
 456 | 1
 457 | 1
 458 | 2
 459 | 2
 460 | 2
 461 | 2
 462 | 2
 463 | 2
 464 | 1
 465 | 1
 466 | 1
 467 | 1
 468 | 1
 469 | 1
 470 | 1
 471 | 1
 472 | 1
 473 | 1
 474 | 1
 475 | 1
 476 | 1
 477 | 1
 478 | 1
 479 | 2
 480 | 2
 481 | 2
 482 | 2
 483 | 2
 484 | 2
 485 | 2
 486 | 2
 487 | 1
 488 | 1
 489 | 1
 490 | 1
 491 | 1
 492 | 1
 493 | 2
 494 | 2
 495 | 2
 496 | 1
 497 | 1
 498 | 1
 499 | 1
 500 | 1
 501 | 1
 502 | 1
 503 | 1
 504 | 2
 505 | 2
 506 | 2
 507 | 1
 508 | 1
 509 | 1
 510 | 1
 511 | 1
 512 | 1
 513 | 1
 514 | 1
 515 | 1
 516 | 1
 517 | 1
 518 | 1
 519 | 1
 520 | 1
 521 | 1
 522 | 1
 523 | 1
 524 | 1
 525 | 1
 526 | 1
 527 | 1
 528 | 1
 529 | 2
 530 | 2
 531 | 1
 532 | 1
 533 | 1
 534 | 1
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 1
 542 | 1
 543 | 1
 544 | 1
 545 | 1
 546 | 1
 547 | 1
 548 | 2
 549 | 2
 550 | 2
 551 | 2
 552 | 2
 553 | 1
 554 | 1
 555 | 1
 556 | 1
 557 | 2
 558 | 2
 559 | 2
 560 | 2
 561 | 2
 562 | 2
 563 | 2
 564 | 1
 565 | 2
 566 | 1
 567 | 1
 568 | 1
 569 | 2
 570 | 1
 571 | 1
 572 | 1
 573 | 1
 574 | 1
 575 | 2
 576 | 3
 577 | 2
 578 | 2
 579 | 2
 580 | 2
 581 | 2
 582 | 2
 583 | 2
 584 | 2
 585 | 2
 586 | 1
 587 | 1
 588 | 1
 589 | 1
 590 | 1
 591 | 1
 592 | 1
 593 | 1
 594 | 1
 595 | 1
 596 | 1
 597 | 1
 598 | 1
 599 | 1
 600 | 1
 601 | 1
 602 | 1
 603 | 1
 604 | 1
 605 | 1
 606 | 1
 607 | 1
 608 | 1
 609 | 1
 610 | 1
 611 | 1
 612 | 1
 613 | 1
 614 | 1
 615 | 1
 616 | 1
 617 | 2
 618 | 2
 619 | 3
 620 | 3
 621 | 3
 622 | 3
 623 | 2
 624 | 2
 625 | 3
 626 | 3
 627 | 3
 628 | 3
 629 | 2
 630 | 2
 631 | 2
 632 | 2
 633 | 2
 634 | 2
 635 | 2
 636 | 1
 637 | 2
 638 | 2
 639 | 2
 640 | 2
 641 | 2
 642 | 2
 643 | 2
 644 | 2
 645 | 2
 646 | 2
 647 | 1
 648 | 1
 649 | 1
 650 | 1
 651 | 1
 652 | 1
 653 | 1
 654 | 1
 655 | 1
 656 | 1
 657 | 1
 658 | 1
 659 | 1
 660 | 1
 661 | 1
 662 | 2
 663 | 2
 664 | 2
 665 | 2
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 1
 671 | 1
 672 | 2
 673 | 2
 674 | 2
 675 | 3
 676 | 3
 677 | 3
 678 | 3
 679 | 3
 680 | 3
 681 | 1
 682 | 1
 683 | 2
 684 | 2
 685 | 2
 686 | 2
 687 | 2
 688 | 2
 689 | 2
 690 | 2
 691 | 2
 692 | 2
 693 | 2
 694 | 2
 695 | 2
 696 | 2
 697 | 2
 698 | 2
 699 | 2
 700 | 3
 701 | 3
 702 | 3
 703 | 2
 704 | 2
 705 | 2
 706 | 1
 707 | 1
 708 | 1
 709 | 2
 710 | 2
 711 | 2
 712 | 2
 713 | 3
 714 | 3
 715 | 2
 716 | 2
 717 | 2
 718 | 1
 719 | 1
 720 | 2
 721 | 2
 722 | 2
 723 | 2
 724 | 2
 725 | 2
 726 | 2
 727 | 2
 728 | 1
 729 | 1
 730 | 1
 731 | 1
 732 | 1
 733 | 1
 734 | 1
 735 | 1
 736 | 1
 737 | 1
 738 | 1
 739 | 1
 740 | 2
 741 | 2
 742 | 2
 743 | 2
 744 | 2
 745 | 2
 746 | 3
 747 | 1
 748 | 1
 749 | 1
 750 | 1
 751 | 1
 752 | 1
 753 | 1
 754 | 1
 755 | 2
 756 | 2
 757 | 3
 758 | 3
 759 | 3
 760 | 3
 761 | 3
 762 | 2
 763 | 2
 764 | 2
 765 | 2
 766 | 1
 767 | 2
 768 | 3
 769 | 3
 770 | 3
 771 | 3
 772 | 3
 773 | 2
 774 | 1
 775 | 1
 776 | 1
 777 | 1
 778 | 1
 779 | 1
 780 | 1
 781 | 1
 782 | 2
 783 | 2
 784 | 2
 785 | 2
 786 | 1
 787 | 1
 788 | 1
 789 | 1
 790 | 1
 791 | 1
 792 | 1
 793 | 1
 794 | 1
 795 | 1
 796 | 1
 797 | 1
 798 | 1
 799 | 1
 800 | 2
 801 | 2
 802 | 1
 803 | 1
 804 | 1
 805 | 1
 806 | 1
 807 | 1
 808 | 1
 809 | 1
 810 | 1
 811 | 1
 812 | 1
 813 | 1
 814 | 2
 815 | 2
 816 | 2
 817 | 2
 818 | 2
 819 | 2
 820 | 1
 821 | 1
 822 | 1
 823 | 1
 824 | 1
 825 | 1
 826 | 1
 827 | 1
 828 | 1
 829 | 1
 830 | 1
 831 | 1
 832 | 1
 833 | 1
 834 | 1
 835 | 1
 836 | 1
 837 | 1
 838 | 1
 839 | 1
 840 | 1
 841 | 1
 842 | 1
 843 | 1
 844 | 2
 845 | 2
 846 | 1
 847 | 1
 848 | 1
 849 | 1
 850 | 1
 851 | 1
 852 | 1
 853 | 1
 854 | 1
 855 | 1
 856 | 1
 857 | 1
 858 | 1
 859 | 1
 860 | 1
 861 | 1
 862 | 2
 863 | 2
 864 | 2
 865 | 2
 866 | 2
 867 | 2
 868 | 2
 869 | 2
 870 | 2
 871 | 2
 872 | 1
 873 | 2
 874 | 1
 875 | 2
 876 | 2
 877 | 2
 878 | 2
 879 | 2
 880 | 2
 881 | 2
 882 | 1
 883 | 1
 884 | 1
 885 | 1
 886 | 1
 887 | 2
 888 | 2
 889 | 3
 890 | 3
 891 | 3
 892 | 3
 893 | 3
 894 | 3
 895 | 3
 896 | 3
 897 | 3
 898 | 3
 899 | 3
 900 | 2
 901 | 2
 902 | 2
 903 | 2
 904 | 2
 905 | 2
 906 | 1
 907 | 1
 908 | 2
 909 | 2
 910 | 1
 911 | 1
 912 | 1
 913 | 1
 914 | 1
 915 | 1
 916 | 1
 917 | 2
 918 | 1
 919 | 1
 920 | 1
 921 | 1
 922 | 1
 923 | 1
 924 | 1
 925 | 2
 926 | 3
 927 | 3
 928 | 1
 929 | 1
 930 | 2
 931 | 2
 932 | 1
 933 | 1
 934 | 1
 935 | 1
 936 | 1
 937 | 2
 938 | 2
 939 | 2
 940 | 2
 941 | 2
 942 | 3
 943 | 3
 944 | 1
 945 | 1
 946 | 1
 947 | 1
 948 | 1
 949 | 1
 950 | 1
 951 | 1
 952 | 1
 953 | 1
 954 | 1
 955 | 1
 956 | 1
 957 | 1
 958 | 1
 959 | 1
 960 | 1
 961 | 1
 962 | 1
 963 | 1
 964 | 1
 965 | 1
 966 | 1
 967 | 1
 968 | 1
 969 | 1
 970 | 1
 971 | 2
 972 | 2
 973 | 2
 974 | 2
 975 | 2
 976 | 2
 977 | 2
 978 | 1
 979 | 1
 980 | 1
 981 | 1
 982 | 1
 983 | 1
 984 | 1
 985 | 1
 986 | 1
 987 | 1
 988 | 1
 989 | 1
 990 | 1
 991 | 2
 992 | 2
 993 | 2
 994 | 1
 995 | 1
 996 | 1
 997 | 2
 998 | 1
 999 | 2
1000 | 2
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x16.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 1
   3 | 1
   4 | 1
   5 | 1
   6 | 1
   7 | 1
   8 | 1
   9 | 1
  10 | 1
  11 | 1
  12 | 1
  13 | 1
  14 | 1
  15 | 1
  16 | 1
  17 | 1
  18 | 1
  19 | 1
  20 | 1
  21 | 1
  22 | 1
  23 | 1
  24 | 1
  25 | 1
  26 | 1
  27 | 1
  28 | 1
  29 | 1
  30 | 1
  31 | 1
  32 | 1
  33 | 1
  34 | 1
  35 | 1
  36 | 1
  37 | 1
  38 | 1
  39 | 1
  40 | 1
  41 | 1
  42 | 1
  43 | 1
  44 | 1
  45 | 1
  46 | 1
  47 | 1
  48 | 1
  49 | 2
  50 | 1
  51 | 1
  52 | 1
  53 | 1
  54 | 1
  55 | 2
  56 | 3
  57 | 3
  58 | 1
  59 | 1
  60 | 1
  61 | 1
  62 | 1
  63 | 1
  64 | 1
  65 | 1
  66 | 1
  67 | 1
  68 | 1
  69 | 1
  70 | 1
  71 | 1
  72 | 1
  73 | 1
  74 | 1
  75 | 1
  76 | 1
  77 | 1
  78 | 1
  79 | 1
  80 | 1
  81 | 1
  82 | 1
  83 | 1
  84 | 1
  85 | 1
  86 | 1
  87 | 1
  88 | 1
  89 | 1
  90 | 1
  91 | 1
  92 | 1
  93 | 2
  94 | 2
  95 | 1
  96 | 1
  97 | 1
  98 | 1
  99 | 1
 100 | 1
 101 | 2
 102 | 1
 103 | 1
 104 | 2
 105 | 2
 106 | 2
 107 | 1
 108 | 1
 109 | 1
 110 | 2
 111 | 2
 112 | 2
 113 | 3
 114 | 3
 115 | 3
 116 | 3
 117 | 3
 118 | 3
 119 | 3
 120 | 3
 121 | 3
 122 | 3
 123 | 2
 124 | 2
 125 | 2
 126 | 2
 127 | 2
 128 | 1
 129 | 1
 130 | 1
 131 | 1
 132 | 2
 133 | 2
 134 | 3
 135 | 3
 136 | 3
 137 | 3
 138 | 3
 139 | 3
 140 | 3
 141 | 3
 142 | 3
 143 | 3
 144 | 2
 145 | 2
 146 | 2
 147 | 2
 148 | 1
 149 | 1
 150 | 1
 151 | 2
 152 | 1
 153 | 1
 154 | 1
 155 | 1
 156 | 1
 157 | 1
 158 | 1
 159 | 1
 160 | 2
 161 | 2
 162 | 2
 163 | 2
 164 | 3
 165 | 3
 166 | 3
 167 | 3
 168 | 3
 169 | 3
 170 | 3
 171 | 3
 172 | 3
 173 | 3
 174 | 2
 175 | 2
 176 | 2
 177 | 2
 178 | 2
 179 | 2
 180 | 2
 181 | 3
 182 | 3
 183 | 3
 184 | 2
 185 | 2
 186 | 1
 187 | 1
 188 | 1
 189 | 1
 190 | 1
 191 | 2
 192 | 2
 193 | 2
 194 | 2
 195 | 2
 196 | 2
 197 | 1
 198 | 1
 199 | 1
 200 | 1
 201 | 1
 202 | 2
 203 | 2
 204 | 2
 205 | 1
 206 | 2
 207 | 2
 208 | 2
 209 | 2
 210 | 1
 211 | 1
 212 | 1
 213 | 2
 214 | 2
 215 | 1
 216 | 1
 217 | 2
 218 | 2
 219 | 2
 220 | 2
 221 | 1
 222 | 1
 223 | 1
 224 | 1
 225 | 1
 226 | 1
 227 | 1
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 2
 233 | 2
 234 | 2
 235 | 2
 236 | 2
 237 | 2
 238 | 1
 239 | 1
 240 | 1
 241 | 1
 242 | 1
 243 | 1
 244 | 1
 245 | 1
 246 | 1
 247 | 1
 248 | 1
 249 | 1
 250 | 1
 251 | 1
 252 | 1
 253 | 1
 254 | 2
 255 | 2
 256 | 2
 257 | 1
 258 | 1
 259 | 1
 260 | 2
 261 | 3
 262 | 2
 263 | 3
 264 | 3
 265 | 3
 266 | 3
 267 | 3
 268 | 2
 269 | 2
 270 | 2
 271 | 2
 272 | 3
 273 | 2
 274 | 2
 275 | 1
 276 | 1
 277 | 1
 278 | 2
 279 | 2
 280 | 2
 281 | 2
 282 | 2
 283 | 2
 284 | 2
 285 | 2
 286 | 2
 287 | 2
 288 | 2
 289 | 2
 290 | 2
 291 | 2
 292 | 2
 293 | 2
 294 | 2
 295 | 2
 296 | 2
 297 | 2
 298 | 1
 299 | 1
 300 | 1
 301 | 1
 302 | 1
 303 | 1
 304 | 1
 305 | 1
 306 | 1
 307 | 1
 308 | 1
 309 | 1
 310 | 1
 311 | 1
 312 | 1
 313 | 1
 314 | 1
 315 | 1
 316 | 1
 317 | 1
 318 | 1
 319 | 1
 320 | 1
 321 | 1
 322 | 2
 323 | 2
 324 | 2
 325 | 2
 326 | 1
 327 | 1
 328 | 1
 329 | 1
 330 | 1
 331 | 2
 332 | 3
 333 | 3
 334 | 3
 335 | 3
 336 | 1
 337 | 1
 338 | 1
 339 | 1
 340 | 1
 341 | 1
 342 | 1
 343 | 1
 344 | 1
 345 | 1
 346 | 1
 347 | 1
 348 | 1
 349 | 1
 350 | 1
 351 | 1
 352 | 1
 353 | 1
 354 | 1
 355 | 1
 356 | 1
 357 | 1
 358 | 2
 359 | 2
 360 | 2
 361 | 2
 362 | 2
 363 | 2
 364 | 2
 365 | 3
 366 | 3
 367 | 2
 368 | 1
 369 | 1
 370 | 1
 371 | 1
 372 | 1
 373 | 1
 374 | 1
 375 | 1
 376 | 1
 377 | 1
 378 | 1
 379 | 1
 380 | 1
 381 | 1
 382 | 1
 383 | 1
 384 | 1
 385 | 2
 386 | 2
 387 | 1
 388 | 1
 389 | 1
 390 | 1
 391 | 2
 392 | 1
 393 | 1
 394 | 1
 395 | 1
 396 | 1
 397 | 1
 398 | 1
 399 | 1
 400 | 1
 401 | 1
 402 | 1
 403 | 1
 404 | 1
 405 | 1
 406 | 1
 407 | 1
 408 | 1
 409 | 1
 410 | 1
 411 | 1
 412 | 1
 413 | 1
 414 | 1
 415 | 1
 416 | 1
 417 | 1
 418 | 1
 419 | 1
 420 | 1
 421 | 1
 422 | 2
 423 | 2
 424 | 2
 425 | 2
 426 | 2
 427 | 2
 428 | 2
 429 | 2
 430 | 2
 431 | 2
 432 | 2
 433 | 2
 434 | 1
 435 | 1
 436 | 1
 437 | 1
 438 | 1
 439 | 1
 440 | 2
 441 | 1
 442 | 1
 443 | 1
 444 | 1
 445 | 1
 446 | 1
 447 | 1
 448 | 1
 449 | 1
 450 | 1
 451 | 1
 452 | 1
 453 | 1
 454 | 1
 455 | 1
 456 | 1
 457 | 1
 458 | 1
 459 | 1
 460 | 1
 461 | 1
 462 | 1
 463 | 1
 464 | 1
 465 | 1
 466 | 1
 467 | 2
 468 | 2
 469 | 2
 470 | 2
 471 | 2
 472 | 1
 473 | 2
 474 | 3
 475 | 3
 476 | 3
 477 | 3
 478 | 3
 479 | 1
 480 | 1
 481 | 1
 482 | 1
 483 | 1
 484 | 1
 485 | 1
 486 | 2
 487 | 2
 488 | 2
 489 | 2
 490 | 1
 491 | 1
 492 | 1
 493 | 1
 494 | 1
 495 | 1
 496 | 1
 497 | 1
 498 | 1
 499 | 1
 500 | 1
 501 | 1
 502 | 1
 503 | 1
 504 | 1
 505 | 1
 506 | 1
 507 | 1
 508 | 1
 509 | 1
 510 | 1
 511 | 1
 512 | 1
 513 | 1
 514 | 2
 515 | 2
 516 | 1
 517 | 1
 518 | 1
 519 | 1
 520 | 1
 521 | 2
 522 | 2
 523 | 2
 524 | 3
 525 | 3
 526 | 3
 527 | 2
 528 | 2
 529 | 2
 530 | 2
 531 | 2
 532 | 2
 533 | 2
 534 | 2
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 2
 540 | 2
 541 | 2
 542 | 2
 543 | 2
 544 | 2
 545 | 2
 546 | 2
 547 | 2
 548 | 2
 549 | 2
 550 | 3
 551 | 3
 552 | 3
 553 | 3
 554 | 3
 555 | 2
 556 | 2
 557 | 2
 558 | 2
 559 | 2
 560 | 2
 561 | 2
 562 | 2
 563 | 2
 564 | 3
 565 | 3
 566 | 2
 567 | 2
 568 | 2
 569 | 2
 570 | 2
 571 | 2
 572 | 2
 573 | 1
 574 | 1
 575 | 1
 576 | 2
 577 | 2
 578 | 2
 579 | 2
 580 | 1
 581 | 1
 582 | 1
 583 | 1
 584 | 2
 585 | 2
 586 | 1
 587 | 1
 588 | 1
 589 | 1
 590 | 1
 591 | 2
 592 | 2
 593 | 2
 594 | 2
 595 | 2
 596 | 2
 597 | 2
 598 | 2
 599 | 2
 600 | 3
 601 | 3
 602 | 3
 603 | 3
 604 | 3
 605 | 3
 606 | 2
 607 | 2
 608 | 1
 609 | 1
 610 | 1
 611 | 1
 612 | 2
 613 | 2
 614 | 2
 615 | 2
 616 | 2
 617 | 2
 618 | 2
 619 | 2
 620 | 2
 621 | 1
 622 | 1
 623 | 1
 624 | 1
 625 | 1
 626 | 1
 627 | 1
 628 | 1
 629 | 1
 630 | 1
 631 | 1
 632 | 1
 633 | 1
 634 | 1
 635 | 1
 636 | 1
 637 | 1
 638 | 1
 639 | 1
 640 | 1
 641 | 1
 642 | 1
 643 | 1
 644 | 2
 645 | 1
 646 | 1
 647 | 1
 648 | 1
 649 | 1
 650 | 1
 651 | 1
 652 | 1
 653 | 1
 654 | 1
 655 | 1
 656 | 1
 657 | 1
 658 | 1
 659 | 1
 660 | 1
 661 | 1
 662 | 1
 663 | 1
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 1
 671 | 1
 672 | 1
 673 | 1
 674 | 1
 675 | 1
 676 | 1
 677 | 2
 678 | 3
 679 | 3
 680 | 2
 681 | 2
 682 | 1
 683 | 1
 684 | 1
 685 | 1
 686 | 1
 687 | 1
 688 | 1
 689 | 1
 690 | 1
 691 | 1
 692 | 1
 693 | 1
 694 | 1
 695 | 1
 696 | 2
 697 | 2
 698 | 2
 699 | 3
 700 | 3
 701 | 3
 702 | 3
 703 | 3
 704 | 3
 705 | 3
 706 | 3
 707 | 3
 708 | 2
 709 | 2
 710 | 1
 711 | 1
 712 | 1
 713 | 1
 714 | 1
 715 | 1
 716 | 1
 717 | 1
 718 | 1
 719 | 1
 720 | 1
 721 | 2
 722 | 2
 723 | 1
 724 | 1
 725 | 1
 726 | 1
 727 | 1
 728 | 1
 729 | 1
 730 | 1
 731 | 1
 732 | 1
 733 | 2
 734 | 2
 735 | 2
 736 | 2
 737 | 2
 738 | 2
 739 | 2
 740 | 2
 741 | 2
 742 | 2
 743 | 2
 744 | 2
 745 | 2
 746 | 2
 747 | 2
 748 | 1
 749 | 2
 750 | 2
 751 | 1
 752 | 1
 753 | 1
 754 | 1
 755 | 1
 756 | 1
 757 | 1
 758 | 1
 759 | 1
 760 | 1
 761 | 1
 762 | 1
 763 | 2
 764 | 2
 765 | 2
 766 | 2
 767 | 1
 768 | 1
 769 | 2
 770 | 1
 771 | 1
 772 | 1
 773 | 1
 774 | 1
 775 | 1
 776 | 2
 777 | 2
 778 | 1
 779 | 1
 780 | 1
 781 | 1
 782 | 1
 783 | 1
 784 | 1
 785 | 1
 786 | 1
 787 | 1
 788 | 1
 789 | 1
 790 | 1
 791 | 1
 792 | 1
 793 | 1
 794 | 1
 795 | 2
 796 | 2
 797 | 2
 798 | 2
 799 | 2
 800 | 2
 801 | 2
 802 | 2
 803 | 2
 804 | 2
 805 | 1
 806 | 1
 807 | 1
 808 | 1
 809 | 2
 810 | 1
 811 | 1
 812 | 1
 813 | 1
 814 | 1
 815 | 1
 816 | 2
 817 | 1
 818 | 1
 819 | 1
 820 | 1
 821 | 1
 822 | 1
 823 | 1
 824 | 1
 825 | 1
 826 | 1
 827 | 1
 828 | 1
 829 | 1
 830 | 1
 831 | 1
 832 | 1
 833 | 1
 834 | 1
 835 | 1
 836 | 2
 837 | 1
 838 | 1
 839 | 1
 840 | 1
 841 | 1
 842 | 1
 843 | 1
 844 | 1
 845 | 2
 846 | 2
 847 | 2
 848 | 2
 849 | 2
 850 | 2
 851 | 2
 852 | 2
 853 | 2
 854 | 2
 855 | 2
 856 | 2
 857 | 2
 858 | 2
 859 | 1
 860 | 1
 861 | 1
 862 | 1
 863 | 1
 864 | 1
 865 | 1
 866 | 1
 867 | 1
 868 | 1
 869 | 1
 870 | 2
 871 | 2
 872 | 2
 873 | 2
 874 | 2
 875 | 2
 876 | 2
 877 | 2
 878 | 2
 879 | 2
 880 | 2
 881 | 3
 882 | 3
 883 | 3
 884 | 3
 885 | 3
 886 | 2
 887 | 2
 888 | 2
 889 | 2
 890 | 1
 891 | 1
 892 | 1
 893 | 1
 894 | 1
 895 | 1
 896 | 1
 897 | 2
 898 | 2
 899 | 2
 900 | 2
 901 | 2
 902 | 1
 903 | 1
 904 | 1
 905 | 1
 906 | 1
 907 | 1
 908 | 1
 909 | 1
 910 | 1
 911 | 1
 912 | 1
 913 | 1
 914 | 2
 915 | 3
 916 | 3
 917 | 2
 918 | 2
 919 | 2
 920 | 2
 921 | 2
 922 | 2
 923 | 1
 924 | 1
 925 | 1
 926 | 1
 927 | 1
 928 | 1
 929 | 1
 930 | 1
 931 | 1
 932 | 2
 933 | 2
 934 | 1
 935 | 1
 936 | 1
 937 | 1
 938 | 1
 939 | 1
 940 | 1
 941 | 1
 942 | 1
 943 | 1
 944 | 1
 945 | 1
 946 | 1
 947 | 1
 948 | 2
 949 | 2
 950 | 2
 951 | 2
 952 | 2
 953 | 2
 954 | 2
 955 | 2
 956 | 2
 957 | 2
 958 | 3
 959 | 3
 960 | 3
 961 | 3
 962 | 3
 963 | 3
 964 | 3
 965 | 3
 966 | 3
 967 | 3
 968 | 3
 969 | 2
 970 | 2
 971 | 1
 972 | 1
 973 | 1
 974 | 1
 975 | 1
 976 | 1
 977 | 1
 978 | 1
 979 | 1
 980 | 1
 981 | 1
 982 | 1
 983 | 1
 984 | 1
 985 | 2
 986 | 2
 987 | 2
 988 | 2
 989 | 2
 990 | 2
 991 | 2
 992 | 2
 993 | 1
 994 | 2
 995 | 2
 996 | 2
 997 | 2
 998 | 2
 999 | 2
1000 | 2
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x17.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 1
   3 | 1
   4 | 1
   5 | 1
   6 | 1
   7 | 1
   8 | 1
   9 | 1
  10 | 1
  11 | 1
  12 | 2
  13 | 2
  14 | 1
  15 | 1
  16 | 2
  17 | 1
  18 | 1
  19 | 1
  20 | 1
  21 | 1
  22 | 2
  23 | 2
  24 | 2
  25 | 1
  26 | 1
  27 | 1
  28 | 1
  29 | 1
  30 | 1
  31 | 1
  32 | 1
  33 | 1
  34 | 1
  35 | 1
  36 | 1
  37 | 1
  38 | 2
  39 | 2
  40 | 3
  41 | 2
  42 | 2
  43 | 1
  44 | 1
  45 | 1
  46 | 1
  47 | 1
  48 | 1
  49 | 1
  50 | 2
  51 | 2
  52 | 2
  53 | 2
  54 | 1
  55 | 1
  56 | 1
  57 | 1
  58 | 2
  59 | 1
  60 | 1
  61 | 1
  62 | 1
  63 | 1
  64 | 1
  65 | 1
  66 | 1
  67 | 1
  68 | 1
  69 | 1
  70 | 1
  71 | 1
  72 | 1
  73 | 1
  74 | 1
  75 | 1
  76 | 1
  77 | 1
  78 | 1
  79 | 1
  80 | 2
  81 | 2
  82 | 2
  83 | 2
  84 | 1
  85 | 1
  86 | 1
  87 | 1
  88 | 1
  89 | 1
  90 | 2
  91 | 2
  92 | 2
  93 | 2
  94 | 2
  95 | 1
  96 | 1
  97 | 2
  98 | 2
  99 | 3
 100 | 2
 101 | 2
 102 | 2
 103 | 2
 104 | 2
 105 | 2
 106 | 2
 107 | 2
 108 | 2
 109 | 2
 110 | 2
 111 | 2
 112 | 2
 113 | 1
 114 | 1
 115 | 1
 116 | 1
 117 | 1
 118 | 1
 119 | 1
 120 | 1
 121 | 1
 122 | 1
 123 | 2
 124 | 2
 125 | 1
 126 | 2
 127 | 2
 128 | 3
 129 | 3
 130 | 3
 131 | 3
 132 | 2
 133 | 2
 134 | 1
 135 | 1
 136 | 1
 137 | 1
 138 | 1
 139 | 1
 140 | 2
 141 | 2
 142 | 2
 143 | 2
 144 | 2
 145 | 2
 146 | 2
 147 | 2
 148 | 2
 149 | 2
 150 | 1
 151 | 1
 152 | 1
 153 | 1
 154 | 1
 155 | 1
 156 | 1
 157 | 1
 158 | 1
 159 | 2
 160 | 2
 161 | 1
 162 | 1
 163 | 1
 164 | 1
 165 | 1
 166 | 2
 167 | 2
 168 | 1
 169 | 1
 170 | 1
 171 | 1
 172 | 1
 173 | 1
 174 | 1
 175 | 1
 176 | 1
 177 | 1
 178 | 1
 179 | 1
 180 | 1
 181 | 1
 182 | 1
 183 | 1
 184 | 1
 185 | 1
 186 | 1
 187 | 2
 188 | 1
 189 | 1
 190 | 1
 191 | 1
 192 | 2
 193 | 2
 194 | 1
 195 | 1
 196 | 1
 197 | 1
 198 | 1
 199 | 1
 200 | 1
 201 | 1
 202 | 1
 203 | 1
 204 | 1
 205 | 1
 206 | 2
 207 | 2
 208 | 2
 209 | 2
 210 | 2
 211 | 2
 212 | 2
 213 | 1
 214 | 1
 215 | 1
 216 | 1
 217 | 1
 218 | 1
 219 | 1
 220 | 1
 221 | 1
 222 | 1
 223 | 1
 224 | 1
 225 | 1
 226 | 1
 227 | 1
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 1
 235 | 1
 236 | 1
 237 | 1
 238 | 1
 239 | 1
 240 | 1
 241 | 1
 242 | 1
 243 | 1
 244 | 1
 245 | 1
 246 | 2
 247 | 1
 248 | 1
 249 | 2
 250 | 1
 251 | 1
 252 | 1
 253 | 1
 254 | 1
 255 | 1
 256 | 2
 257 | 2
 258 | 2
 259 | 1
 260 | 2
 261 | 1
 262 | 1
 263 | 1
 264 | 1
 265 | 1
 266 | 1
 267 | 1
 268 | 2
 269 | 2
 270 | 2
 271 | 2
 272 | 2
 273 | 2
 274 | 2
 275 | 3
 276 | 2
 277 | 2
 278 | 1
 279 | 1
 280 | 1
 281 | 1
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 1
 289 | 2
 290 | 2
 291 | 2
 292 | 1
 293 | 1
 294 | 1
 295 | 1
 296 | 1
 297 | 1
 298 | 1
 299 | 1
 300 | 1
 301 | 1
 302 | 1
 303 | 1
 304 | 1
 305 | 1
 306 | 1
 307 | 1
 308 | 1
 309 | 1
 310 | 1
 311 | 1
 312 | 2
 313 | 2
 314 | 1
 315 | 1
 316 | 1
 317 | 2
 318 | 2
 319 | 2
 320 | 2
 321 | 2
 322 | 2
 323 | 2
 324 | 2
 325 | 2
 326 | 2
 327 | 2
 328 | 2
 329 | 2
 330 | 2
 331 | 2
 332 | 2
 333 | 1
 334 | 1
 335 | 2
 336 | 2
 337 | 2
 338 | 2
 339 | 2
 340 | 1
 341 | 1
 342 | 1
 343 | 2
 344 | 2
 345 | 1
 346 | 2
 347 | 2
 348 | 2
 349 | 1
 350 | 2
 351 | 2
 352 | 2
 353 | 2
 354 | 2
 355 | 2
 356 | 2
 357 | 1
 358 | 2
 359 | 2
 360 | 2
 361 | 2
 362 | 2
 363 | 1
 364 | 1
 365 | 1
 366 | 1
 367 | 1
 368 | 1
 369 | 1
 370 | 1
 371 | 2
 372 | 2
 373 | 2
 374 | 1
 375 | 1
 376 | 1
 377 | 1
 378 | 1
 379 | 1
 380 | 1
 381 | 1
 382 | 1
 383 | 1
 384 | 1
 385 | 1
 386 | 1
 387 | 1
 388 | 1
 389 | 1
 390 | 2
 391 | 2
 392 | 2
 393 | 1
 394 | 1
 395 | 1
 396 | 1
 397 | 1
 398 | 1
 399 | 1
 400 | 2
 401 | 2
 402 | 1
 403 | 2
 404 | 2
 405 | 2
 406 | 2
 407 | 2
 408 | 2
 409 | 2
 410 | 2
 411 | 2
 412 | 1
 413 | 1
 414 | 1
 415 | 1
 416 | 1
 417 | 1
 418 | 1
 419 | 1
 420 | 1
 421 | 1
 422 | 1
 423 | 1
 424 | 1
 425 | 1
 426 | 1
 427 | 1
 428 | 1
 429 | 1
 430 | 1
 431 | 2
 432 | 1
 433 | 1
 434 | 1
 435 | 1
 436 | 1
 437 | 1
 438 | 2
 439 | 2
 440 | 2
 441 | 1
 442 | 1
 443 | 1
 444 | 1
 445 | 1
 446 | 1
 447 | 1
 448 | 1
 449 | 1
 450 | 1
 451 | 1
 452 | 1
 453 | 1
 454 | 1
 455 | 1
 456 | 1
 457 | 1
 458 | 1
 459 | 1
 460 | 1
 461 | 1
 462 | 1
 463 | 1
 464 | 1
 465 | 1
 466 | 1
 467 | 1
 468 | 1
 469 | 1
 470 | 1
 471 | 1
 472 | 2
 473 | 2
 474 | 2
 475 | 2
 476 | 2
 477 | 3
 478 | 1
 479 | 1
 480 | 1
 481 | 2
 482 | 2
 483 | 1
 484 | 1
 485 | 1
 486 | 1
 487 | 1
 488 | 1
 489 | 1
 490 | 1
 491 | 1
 492 | 1
 493 | 1
 494 | 1
 495 | 1
 496 | 1
 497 | 1
 498 | 1
 499 | 1
 500 | 1
 501 | 1
 502 | 1
 503 | 2
 504 | 1
 505 | 1
 506 | 1
 507 | 2
 508 | 2
 509 | 1
 510 | 1
 511 | 1
 512 | 1
 513 | 1
 514 | 2
 515 | 2
 516 | 1
 517 | 1
 518 | 1
 519 | 1
 520 | 1
 521 | 1
 522 | 1
 523 | 1
 524 | 1
 525 | 1
 526 | 1
 527 | 1
 528 | 1
 529 | 1
 530 | 1
 531 | 1
 532 | 1
 533 | 1
 534 | 2
 535 | 2
 536 | 2
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 2
 542 | 2
 543 | 2
 544 | 1
 545 | 1
 546 | 2
 547 | 2
 548 | 1
 549 | 1
 550 | 1
 551 | 1
 552 | 1
 553 | 1
 554 | 1
 555 | 1
 556 | 1
 557 | 1
 558 | 1
 559 | 1
 560 | 1
 561 | 1
 562 | 1
 563 | 1
 564 | 2
 565 | 2
 566 | 2
 567 | 2
 568 | 2
 569 | 2
 570 | 2
 571 | 2
 572 | 1
 573 | 1
 574 | 1
 575 | 1
 576 | 1
 577 | 1
 578 | 1
 579 | 1
 580 | 1
 581 | 1
 582 | 1
 583 | 1
 584 | 1
 585 | 1
 586 | 1
 587 | 1
 588 | 1
 589 | 1
 590 | 1
 591 | 2
 592 | 1
 593 | 1
 594 | 1
 595 | 1
 596 | 1
 597 | 2
 598 | 2
 599 | 2
 600 | 3
 601 | 3
 602 | 3
 603 | 1
 604 | 2
 605 | 2
 606 | 2
 607 | 2
 608 | 2
 609 | 2
 610 | 2
 611 | 2
 612 | 1
 613 | 1
 614 | 1
 615 | 1
 616 | 1
 617 | 1
 618 | 1
 619 | 1
 620 | 1
 621 | 1
 622 | 1
 623 | 1
 624 | 1
 625 | 1
 626 | 1
 627 | 1
 628 | 1
 629 | 1
 630 | 1
 631 | 1
 632 | 1
 633 | 1
 634 | 1
 635 | 1
 636 | 2
 637 | 2
 638 | 1
 639 | 1
 640 | 1
 641 | 2
 642 | 2
 643 | 2
 644 | 2
 645 | 1
 646 | 1
 647 | 1
 648 | 1
 649 | 1
 650 | 2
 651 | 1
 652 | 2
 653 | 2
 654 | 2
 655 | 2
 656 | 2
 657 | 2
 658 | 2
 659 | 2
 660 | 2
 661 | 1
 662 | 1
 663 | 1
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 2
 669 | 1
 670 | 1
 671 | 1
 672 | 1
 673 | 1
 674 | 1
 675 | 1
 676 | 1
 677 | 2
 678 | 2
 679 | 3
 680 | 2
 681 | 2
 682 | 1
 683 | 1
 684 | 1
 685 | 1
 686 | 1
 687 | 1
 688 | 1
 689 | 1
 690 | 1
 691 | 1
 692 | 1
 693 | 1
 694 | 1
 695 | 1
 696 | 1
 697 | 1
 698 | 1
 699 | 1
 700 | 1
 701 | 1
 702 | 1
 703 | 1
 704 | 1
 705 | 1
 706 | 1
 707 | 1
 708 | 1
 709 | 1
 710 | 1
 711 | 1
 712 | 1
 713 | 1
 714 | 1
 715 | 1
 716 | 1
 717 | 1
 718 | 1
 719 | 1
 720 | 1
 721 | 1
 722 | 1
 723 | 1
 724 | 1
 725 | 1
 726 | 1
 727 | 1
 728 | 1
 729 | 1
 730 | 2
 731 | 2
 732 | 2
 733 | 2
 734 | 2
 735 | 2
 736 | 2
 737 | 1
 738 | 1
 739 | 1
 740 | 1
 741 | 1
 742 | 1
 743 | 2
 744 | 1
 745 | 1
 746 | 1
 747 | 1
 748 | 1
 749 | 1
 750 | 1
 751 | 1
 752 | 1
 753 | 1
 754 | 1
 755 | 2
 756 | 1
 757 | 1
 758 | 1
 759 | 1
 760 | 1
 761 | 1
 762 | 1
 763 | 1
 764 | 2
 765 | 1
 766 | 1
 767 | 1
 768 | 1
 769 | 1
 770 | 1
 771 | 2
 772 | 2
 773 | 2
 774 | 3
 775 | 2
 776 | 2
 777 | 2
 778 | 2
 779 | 1
 780 | 1
 781 | 1
 782 | 1
 783 | 1
 784 | 1
 785 | 2
 786 | 2
 787 | 2
 788 | 2
 789 | 2
 790 | 2
 791 | 2
 792 | 2
 793 | 3
 794 | 2
 795 | 2
 796 | 2
 797 | 2
 798 | 1
 799 | 1
 800 | 1
 801 | 1
 802 | 1
 803 | 1
 804 | 1
 805 | 1
 806 | 2
 807 | 2
 808 | 2
 809 | 1
 810 | 1
 811 | 1
 812 | 1
 813 | 1
 814 | 2
 815 | 2
 816 | 3
 817 | 3
 818 | 3
 819 | 3
 820 | 3
 821 | 2
 822 | 2
 823 | 1
 824 | 1
 825 | 1
 826 | 1
 827 | 1
 828 | 1
 829 | 1
 830 | 1
 831 | 1
 832 | 1
 833 | 1
 834 | 1
 835 | 2
 836 | 1
 837 | 1
 838 | 1
 839 | 1
 840 | 1
 841 | 1
 842 | 1
 843 | 1
 844 | 1
 845 | 1
 846 | 1
 847 | 2
 848 | 1
 849 | 1
 850 | 1
 851 | 1
 852 | 1
 853 | 2
 854 | 2
 855 | 2
 856 | 2
 857 | 2
 858 | 2
 859 | 2
 860 | 2
 861 | 2
 862 | 2
 863 | 2
 864 | 2
 865 | 3
 866 | 3
 867 | 3
 868 | 3
 869 | 3
 870 | 3
 871 | 3
 872 | 3
 873 | 3
 874 | 2
 875 | 2
 876 | 2
 877 | 2
 878 | 2
 879 | 2
 880 | 2
 881 | 1
 882 | 1
 883 | 1
 884 | 1
 885 | 1
 886 | 1
 887 | 2
 888 | 2
 889 | 2
 890 | 3
 891 | 3
 892 | 3
 893 | 3
 894 | 3
 895 | 2
 896 | 2
 897 | 2
 898 | 1
 899 | 2
 900 | 1
 901 | 1
 902 | 1
 903 | 1
 904 | 1
 905 | 1
 906 | 1
 907 | 1
 908 | 1
 909 | 1
 910 | 1
 911 | 1
 912 | 1
 913 | 1
 914 | 1
 915 | 1
 916 | 1
 917 | 1
 918 | 1
 919 | 1
 920 | 1
 921 | 1
 922 | 1
 923 | 1
 924 | 1
 925 | 1
 926 | 1
 927 | 1
 928 | 1
 929 | 2
 930 | 2
 931 | 2
 932 | 2
 933 | 2
 934 | 2
 935 | 2
 936 | 2
 937 | 1
 938 | 1
 939 | 1
 940 | 1
 941 | 1
 942 | 1
 943 | 1
 944 | 1
 945 | 1
 946 | 1
 947 | 1
 948 | 1
 949 | 1
 950 | 1
 951 | 1
 952 | 1
 953 | 1
 954 | 1
 955 | 1
 956 | 1
 957 | 1
 958 | 1
 959 | 1
 960 | 1
 961 | 1
 962 | 2
 963 | 2
 964 | 2
 965 | 2
 966 | 2
 967 | 2
 968 | 2
 969 | 2
 970 | 2
 971 | 2
 972 | 1
 973 | 1
 974 | 1
 975 | 1
 976 | 1
 977 | 2
 978 | 2
 979 | 2
 980 | 2
 981 | 1
 982 | 1
 983 | 1
 984 | 1
 985 | 1
 986 | 1
 987 | 2
 988 | 2
 989 | 2
 990 | 2
 991 | 1
 992 | 1
 993 | 1
 994 | 1
 995 | 1
 996 | 1
 997 | 1
 998 | 1
 999 | 1
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x18.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 1
   3 | 1
   4 | 1
   5 | 1
   6 | 1
   7 | 1
   8 | 1
   9 | 1
  10 | 2
  11 | 2
  12 | 2
  13 | 2
  14 | 2
  15 | 1
  16 | 1
  17 | 1
  18 | 1
  19 | 1
  20 | 1
  21 | 1
  22 | 1
  23 | 1
  24 | 1
  25 | 1
  26 | 1
  27 | 2
  28 | 1
  29 | 1
  30 | 1
  31 | 1
  32 | 2
  33 | 2
  34 | 2
  35 | 2
  36 | 2
  37 | 2
  38 | 1
  39 | 1
  40 | 1
  41 | 1
  42 | 1
  43 | 2
  44 | 2
  45 | 2
  46 | 2
  47 | 2
  48 | 2
  49 | 2
  50 | 1
  51 | 2
  52 | 2
  53 | 2
  54 | 2
  55 | 2
  56 | 2
  57 | 2
  58 | 2
  59 | 2
  60 | 2
  61 | 3
  62 | 3
  63 | 3
  64 | 3
  65 | 3
  66 | 3
  67 | 2
  68 | 1
  69 | 1
  70 | 1
  71 | 1
  72 | 1
  73 | 1
  74 | 1
  75 | 1
  76 | 1
  77 | 1
  78 | 2
  79 | 2
  80 | 1
  81 | 2
  82 | 2
  83 | 2
  84 | 2
  85 | 1
  86 | 1
  87 | 1
  88 | 1
  89 | 2
  90 | 2
  91 | 2
  92 | 2
  93 | 2
  94 | 2
  95 | 2
  96 | 2
  97 | 2
  98 | 2
  99 | 2
 100 | 2
 101 | 2
 102 | 2
 103 | 2
 104 | 2
 105 | 2
 106 | 2
 107 | 2
 108 | 2
 109 | 2
 110 | 3
 111 | 2
 112 | 2
 113 | 2
 114 | 2
 115 | 2
 116 | 1
 117 | 1
 118 | 1
 119 | 1
 120 | 1
 121 | 1
 122 | 1
 123 | 1
 124 | 1
 125 | 1
 126 | 1
 127 | 1
 128 | 1
 129 | 1
 130 | 1
 131 | 1
 132 | 1
 133 | 1
 134 | 1
 135 | 1
 136 | 1
 137 | 1
 138 | 1
 139 | 1
 140 | 1
 141 | 1
 142 | 1
 143 | 1
 144 | 1
 145 | 1
 146 | 1
 147 | 2
 148 | 2
 149 | 2
 150 | 1
 151 | 1
 152 | 1
 153 | 1
 154 | 1
 155 | 1
 156 | 1
 157 | 1
 158 | 1
 159 | 1
 160 | 2
 161 | 2
 162 | 2
 163 | 2
 164 | 2
 165 | 1
 166 | 1
 167 | 2
 168 | 2
 169 | 2
 170 | 2
 171 | 2
 172 | 2
 173 | 2
 174 | 2
 175 | 2
 176 | 2
 177 | 2
 178 | 2
 179 | 2
 180 | 2
 181 | 2
 182 | 1
 183 | 1
 184 | 1
 185 | 2
 186 | 1
 187 | 1
 188 | 1
 189 | 1
 190 | 1
 191 | 2
 192 | 1
 193 | 2
 194 | 2
 195 | 1
 196 | 1
 197 | 1
 198 | 1
 199 | 1
 200 | 1
 201 | 1
 202 | 1
 203 | 1
 204 | 1
 205 | 1
 206 | 1
 207 | 1
 208 | 1
 209 | 1
 210 | 1
 211 | 1
 212 | 1
 213 | 2
 214 | 2
 215 | 2
 216 | 1
 217 | 1
 218 | 1
 219 | 2
 220 | 2
 221 | 2
 222 | 2
 223 | 2
 224 | 2
 225 | 2
 226 | 2
 227 | 1
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 1
 235 | 1
 236 | 1
 237 | 1
 238 | 1
 239 | 1
 240 | 1
 241 | 1
 242 | 1
 243 | 1
 244 | 2
 245 | 1
 246 | 1
 247 | 1
 248 | 1
 249 | 1
 250 | 1
 251 | 1
 252 | 1
 253 | 1
 254 | 1
 255 | 1
 256 | 1
 257 | 1
 258 | 1
 259 | 2
 260 | 1
 261 | 1
 262 | 2
 263 | 2
 264 | 1
 265 | 1
 266 | 1
 267 | 2
 268 | 2
 269 | 2
 270 | 2
 271 | 3
 272 | 3
 273 | 2
 274 | 2
 275 | 2
 276 | 1
 277 | 1
 278 | 1
 279 | 1
 280 | 1
 281 | 1
 282 | 2
 283 | 2
 284 | 2
 285 | 2
 286 | 1
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 1
 292 | 1
 293 | 1
 294 | 1
 295 | 1
 296 | 1
 297 | 1
 298 | 1
 299 | 1
 300 | 2
 301 | 1
 302 | 1
 303 | 1
 304 | 1
 305 | 1
 306 | 1
 307 | 1
 308 | 1
 309 | 1
 310 | 1
 311 | 1
 312 | 1
 313 | 1
 314 | 1
 315 | 1
 316 | 1
 317 | 1
 318 | 1
 319 | 1
 320 | 1
 321 | 1
 322 | 2
 323 | 2
 324 | 3
 325 | 2
 326 | 2
 327 | 2
 328 | 2
 329 | 1
 330 | 1
 331 | 1
 332 | 1
 333 | 1
 334 | 1
 335 | 1
 336 | 1
 337 | 1
 338 | 1
 339 | 2
 340 | 2
 341 | 1
 342 | 1
 343 | 1
 344 | 1
 345 | 1
 346 | 1
 347 | 1
 348 | 1
 349 | 1
 350 | 1
 351 | 2
 352 | 2
 353 | 1
 354 | 1
 355 | 1
 356 | 1
 357 | 1
 358 | 2
 359 | 2
 360 | 2
 361 | 2
 362 | 2
 363 | 2
 364 | 2
 365 | 1
 366 | 2
 367 | 2
 368 | 2
 369 | 3
 370 | 3
 371 | 3
 372 | 3
 373 | 3
 374 | 3
 375 | 3
 376 | 3
 377 | 1
 378 | 1
 379 | 1
 380 | 1
 381 | 1
 382 | 1
 383 | 1
 384 | 1
 385 | 1
 386 | 1
 387 | 1
 388 | 1
 389 | 1
 390 | 1
 391 | 1
 392 | 1
 393 | 1
 394 | 1
 395 | 1
 396 | 2
 397 | 2
 398 | 2
 399 | 2
 400 | 2
 401 | 2
 402 | 2
 403 | 2
 404 | 2
 405 | 2
 406 | 2
 407 | 2
 408 | 1
 409 | 1
 410 | 1
 411 | 1
 412 | 1
 413 | 1
 414 | 1
 415 | 1
 416 | 1
 417 | 1
 418 | 1
 419 | 1
 420 | 1
 421 | 1
 422 | 1
 423 | 1
 424 | 1
 425 | 1
 426 | 1
 427 | 1
 428 | 1
 429 | 1
 430 | 1
 431 | 1
 432 | 1
 433 | 1
 434 | 2
 435 | 1
 436 | 1
 437 | 1
 438 | 1
 439 | 1
 440 | 1
 441 | 1
 442 | 2
 443 | 1
 444 | 1
 445 | 1
 446 | 1
 447 | 1
 448 | 1
 449 | 1
 450 | 1
 451 | 1
 452 | 1
 453 | 1
 454 | 1
 455 | 1
 456 | 1
 457 | 1
 458 | 1
 459 | 1
 460 | 1
 461 | 1
 462 | 1
 463 | 1
 464 | 1
 465 | 1
 466 | 1
 467 | 2
 468 | 3
 469 | 3
 470 | 1
 471 | 1
 472 | 1
 473 | 1
 474 | 1
 475 | 1
 476 | 1
 477 | 2
 478 | 2
 479 | 2
 480 | 2
 481 | 2
 482 | 1
 483 | 1
 484 | 1
 485 | 1
 486 | 1
 487 | 1
 488 | 1
 489 | 1
 490 | 2
 491 | 2
 492 | 1
 493 | 1
 494 | 2
 495 | 2
 496 | 2
 497 | 2
 498 | 2
 499 | 2
 500 | 2
 501 | 2
 502 | 2
 503 | 1
 504 | 1
 505 | 1
 506 | 2
 507 | 2
 508 | 2
 509 | 2
 510 | 2
 511 | 2
 512 | 2
 513 | 2
 514 | 2
 515 | 2
 516 | 2
 517 | 2
 518 | 2
 519 | 2
 520 | 1
 521 | 1
 522 | 1
 523 | 1
 524 | 2
 525 | 2
 526 | 2
 527 | 1
 528 | 1
 529 | 1
 530 | 1
 531 | 1
 532 | 1
 533 | 1
 534 | 1
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 1
 542 | 1
 543 | 1
 544 | 1
 545 | 2
 546 | 2
 547 | 2
 548 | 2
 549 | 2
 550 | 2
 551 | 2
 552 | 2
 553 | 2
 554 | 2
 555 | 2
 556 | 2
 557 | 2
 558 | 2
 559 | 2
 560 | 2
 561 | 2
 562 | 3
 563 | 1
 564 | 1
 565 | 1
 566 | 1
 567 | 1
 568 | 1
 569 | 1
 570 | 1
 571 | 1
 572 | 1
 573 | 1
 574 | 1
 575 | 1
 576 | 1
 577 | 1
 578 | 1
 579 | 1
 580 | 1
 581 | 1
 582 | 2
 583 | 2
 584 | 2
 585 | 2
 586 | 1
 587 | 1
 588 | 1
 589 | 1
 590 | 1
 591 | 1
 592 | 1
 593 | 1
 594 | 1
 595 | 1
 596 | 1
 597 | 2
 598 | 2
 599 | 2
 600 | 1
 601 | 1
 602 | 1
 603 | 1
 604 | 1
 605 | 1
 606 | 1
 607 | 1
 608 | 1
 609 | 1
 610 | 1
 611 | 1
 612 | 2
 613 | 1
 614 | 1
 615 | 1
 616 | 1
 617 | 1
 618 | 1
 619 | 1
 620 | 1
 621 | 1
 622 | 1
 623 | 1
 624 | 2
 625 | 2
 626 | 2
 627 | 2
 628 | 1
 629 | 1
 630 | 1
 631 | 1
 632 | 1
 633 | 1
 634 | 1
 635 | 1
 636 | 1
 637 | 1
 638 | 1
 639 | 1
 640 | 2
 641 | 2
 642 | 2
 643 | 1
 644 | 1
 645 | 1
 646 | 1
 647 | 1
 648 | 2
 649 | 2
 650 | 2
 651 | 2
 652 | 2
 653 | 2
 654 | 2
 655 | 2
 656 | 1
 657 | 1
 658 | 1
 659 | 1
 660 | 1
 661 | 1
 662 | 1
 663 | 1
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 2
 671 | 2
 672 | 3
 673 | 3
 674 | 1
 675 | 1
 676 | 1
 677 | 1
 678 | 1
 679 | 1
 680 | 1
 681 | 1
 682 | 1
 683 | 1
 684 | 1
 685 | 1
 686 | 1
 687 | 1
 688 | 1
 689 | 1
 690 | 1
 691 | 1
 692 | 1
 693 | 1
 694 | 1
 695 | 1
 696 | 1
 697 | 2
 698 | 1
 699 | 2
 700 | 2
 701 | 2
 702 | 1
 703 | 1
 704 | 1
 705 | 1
 706 | 2
 707 | 2
 708 | 2
 709 | 2
 710 | 2
 711 | 2
 712 | 2
 713 | 2
 714 | 1
 715 | 1
 716 | 1
 717 | 1
 718 | 1
 719 | 2
 720 | 2
 721 | 1
 722 | 2
 723 | 1
 724 | 1
 725 | 1
 726 | 1
 727 | 1
 728 | 1
 729 | 1
 730 | 1
 731 | 2
 732 | 2
 733 | 1
 734 | 2
 735 | 1
 736 | 1
 737 | 1
 738 | 1
 739 | 1
 740 | 1
 741 | 1
 742 | 1
 743 | 1
 744 | 1
 745 | 1
 746 | 1
 747 | 1
 748 | 1
 749 | 1
 750 | 1
 751 | 1
 752 | 1
 753 | 1
 754 | 1
 755 | 1
 756 | 1
 757 | 1
 758 | 1
 759 | 2
 760 | 2
 761 | 2
 762 | 2
 763 | 2
 764 | 2
 765 | 2
 766 | 1
 767 | 1
 768 | 1
 769 | 1
 770 | 1
 771 | 1
 772 | 1
 773 | 2
 774 | 2
 775 | 2
 776 | 2
 777 | 2
 778 | 2
 779 | 2
 780 | 1
 781 | 1
 782 | 1
 783 | 1
 784 | 1
 785 | 1
 786 | 1
 787 | 1
 788 | 1
 789 | 1
 790 | 1
 791 | 1
 792 | 1
 793 | 1
 794 | 1
 795 | 1
 796 | 1
 797 | 1
 798 | 1
 799 | 1
 800 | 1
 801 | 1
 802 | 1
 803 | 1
 804 | 1
 805 | 1
 806 | 1
 807 | 1
 808 | 1
 809 | 1
 810 | 1
 811 | 1
 812 | 1
 813 | 1
 814 | 2
 815 | 2
 816 | 1
 817 | 1
 818 | 1
 819 | 1
 820 | 1
 821 | 1
 822 | 1
 823 | 1
 824 | 1
 825 | 1
 826 | 2
 827 | 3
 828 | 3
 829 | 3
 830 | 3
 831 | 3
 832 | 3
 833 | 3
 834 | 3
 835 | 3
 836 | 2
 837 | 2
 838 | 3
 839 | 2
 840 | 2
 841 | 1
 842 | 1
 843 | 1
 844 | 1
 845 | 1
 846 | 1
 847 | 1
 848 | 1
 849 | 1
 850 | 1
 851 | 1
 852 | 1
 853 | 1
 854 | 1
 855 | 1
 856 | 1
 857 | 1
 858 | 1
 859 | 1
 860 | 2
 861 | 2
 862 | 3
 863 | 2
 864 | 2
 865 | 1
 866 | 1
 867 | 1
 868 | 1
 869 | 1
 870 | 1
 871 | 1
 872 | 1
 873 | 2
 874 | 2
 875 | 2
 876 | 2
 877 | 1
 878 | 1
 879 | 1
 880 | 1
 881 | 1
 882 | 1
 883 | 2
 884 | 3
 885 | 3
 886 | 3
 887 | 3
 888 | 1
 889 | 1
 890 | 1
 891 | 1
 892 | 1
 893 | 1
 894 | 1
 895 | 1
 896 | 1
 897 | 1
 898 | 1
 899 | 1
 900 | 1
 901 | 1
 902 | 1
 903 | 1
 904 | 1
 905 | 1
 906 | 1
 907 | 1
 908 | 1
 909 | 1
 910 | 1
 911 | 1
 912 | 1
 913 | 1
 914 | 1
 915 | 1
 916 | 1
 917 | 1
 918 | 2
 919 | 2
 920 | 2
 921 | 1
 922 | 2
 923 | 2
 924 | 2
 925 | 1
 926 | 1
 927 | 1
 928 | 1
 929 | 1
 930 | 1
 931 | 1
 932 | 1
 933 | 1
 934 | 1
 935 | 1
 936 | 1
 937 | 1
 938 | 1
 939 | 1
 940 | 1
 941 | 1
 942 | 1
 943 | 1
 944 | 1
 945 | 1
 946 | 1
 947 | 1
 948 | 1
 949 | 1
 950 | 1
 951 | 1
 952 | 1
 953 | 1
 954 | 2
 955 | 1
 956 | 1
 957 | 1
 958 | 1
 959 | 1
 960 | 1
 961 | 1
 962 | 2
 963 | 1
 964 | 1
 965 | 1
 966 | 1
 967 | 1
 968 | 1
 969 | 2
 970 | 2
 971 | 2
 972 | 2
 973 | 2
 974 | 1
 975 | 1
 976 | 1
 977 | 1
 978 | 1
 979 | 1
 980 | 1
 981 | 2
 982 | 2
 983 | 2
 984 | 2
 985 | 2
 986 | 2
 987 | 2
 988 | 1
 989 | 1
 990 | 1
 991 | 1
 992 | 1
 993 | 2
 994 | 1
 995 | 1
 996 | 1
 997 | 1
 998 | 1
 999 | 2
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x19.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 1
   3 | 1
   4 | 2
   5 | 1
   6 | 2
   7 | 1
   8 | 1
   9 | 1
  10 | 1
  11 | 1
  12 | 1
  13 | 1
  14 | 1
  15 | 1
  16 | 1
  17 | 1
  18 | 1
  19 | 2
  20 | 2
  21 | 2
  22 | 2
  23 | 1
  24 | 1
  25 | 1
  26 | 1
  27 | 1
  28 | 2
  29 | 2
  30 | 2
  31 | 2
  32 | 1
  33 | 1
  34 | 1
  35 | 1
  36 | 1
  37 | 1
  38 | 1
  39 | 2
  40 | 3
  41 | 2
  42 | 3
  43 | 3
  44 | 3
  45 | 3
  46 | 3
  47 | 3
  48 | 3
  49 | 3
  50 | 3
  51 | 3
  52 | 3
  53 | 3
  54 | 3
  55 | 3
  56 | 3
  57 | 3
  58 | 3
  59 | 3
  60 | 3
  61 | 3
  62 | 3
  63 | 1
  64 | 1
  65 | 1
  66 | 1
  67 | 1
  68 | 1
  69 | 1
  70 | 1
  71 | 1
  72 | 1
  73 | 1
  74 | 1
  75 | 1
  76 | 1
  77 | 1
  78 | 1
  79 | 1
  80 | 1
  81 | 1
  82 | 1
  83 | 1
  84 | 2
  85 | 2
  86 | 2
  87 | 1
  88 | 1
  89 | 1
  90 | 1
  91 | 1
  92 | 1
  93 | 2
  94 | 2
  95 | 2
  96 | 1
  97 | 2
  98 | 1
  99 | 2
 100 | 2
 101 | 2
 102 | 2
 103 | 2
 104 | 1
 105 | 1
 106 | 1
 107 | 1
 108 | 1
 109 | 1
 110 | 1
 111 | 1
 112 | 1
 113 | 1
 114 | 1
 115 | 1
 116 | 1
 117 | 1
 118 | 1
 119 | 2
 120 | 2
 121 | 2
 122 | 2
 123 | 2
 124 | 2
 125 | 1
 126 | 1
 127 | 2
 128 | 1
 129 | 1
 130 | 1
 131 | 1
 132 | 1
 133 | 1
 134 | 1
 135 | 1
 136 | 1
 137 | 1
 138 | 1
 139 | 1
 140 | 1
 141 | 1
 142 | 1
 143 | 1
 144 | 1
 145 | 1
 146 | 1
 147 | 1
 148 | 1
 149 | 1
 150 | 1
 151 | 1
 152 | 1
 153 | 1
 154 | 1
 155 | 2
 156 | 2
 157 | 2
 158 | 2
 159 | 1
 160 | 1
 161 | 1
 162 | 1
 163 | 1
 164 | 1
 165 | 2
 166 | 1
 167 | 1
 168 | 1
 169 | 1
 170 | 1
 171 | 1
 172 | 1
 173 | 2
 174 | 1
 175 | 1
 176 | 1
 177 | 1
 178 | 1
 179 | 1
 180 | 1
 181 | 1
 182 | 1
 183 | 1
 184 | 1
 185 | 1
 186 | 1
 187 | 1
 188 | 1
 189 | 1
 190 | 1
 191 | 1
 192 | 1
 193 | 1
 194 | 1
 195 | 2
 196 | 2
 197 | 1
 198 | 1
 199 | 2
 200 | 2
 201 | 2
 202 | 3
 203 | 2
 204 | 2
 205 | 3
 206 | 3
 207 | 3
 208 | 3
 209 | 3
 210 | 3
 211 | 3
 212 | 3
 213 | 3
 214 | 3
 215 | 3
 216 | 3
 217 | 3
 218 | 3
 219 | 3
 220 | 3
 221 | 2
 222 | 2
 223 | 2
 224 | 2
 225 | 2
 226 | 2
 227 | 2
 228 | 2
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 1
 235 | 1
 236 | 1
 237 | 1
 238 | 1
 239 | 1
 240 | 1
 241 | 1
 242 | 1
 243 | 1
 244 | 2
 245 | 2
 246 | 1
 247 | 1
 248 | 1
 249 | 1
 250 | 1
 251 | 1
 252 | 1
 253 | 2
 254 | 2
 255 | 1
 256 | 1
 257 | 1
 258 | 1
 259 | 1
 260 | 1
 261 | 1
 262 | 1
 263 | 1
 264 | 1
 265 | 1
 266 | 1
 267 | 1
 268 | 1
 269 | 1
 270 | 1
 271 | 2
 272 | 2
 273 | 1
 274 | 2
 275 | 2
 276 | 1
 277 | 1
 278 | 1
 279 | 1
 280 | 1
 281 | 1
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 1
 292 | 1
 293 | 1
 294 | 1
 295 | 1
 296 | 1
 297 | 1
 298 | 1
 299 | 1
 300 | 1
 301 | 1
 302 | 1
 303 | 1
 304 | 1
 305 | 1
 306 | 1
 307 | 1
 308 | 1
 309 | 2
 310 | 2
 311 | 2
 312 | 1
 313 | 1
 314 | 1
 315 | 1
 316 | 1
 317 | 1
 318 | 2
 319 | 1
 320 | 1
 321 | 1
 322 | 1
 323 | 1
 324 | 1
 325 | 1
 326 | 1
 327 | 1
 328 | 1
 329 | 1
 330 | 1
 331 | 1
 332 | 2
 333 | 2
 334 | 2
 335 | 1
 336 | 1
 337 | 1
 338 | 1
 339 | 1
 340 | 1
 341 | 1
 342 | 1
 343 | 1
 344 | 1
 345 | 1
 346 | 1
 347 | 1
 348 | 1
 349 | 1
 350 | 1
 351 | 1
 352 | 1
 353 | 1
 354 | 1
 355 | 2
 356 | 2
 357 | 3
 358 | 1
 359 | 1
 360 | 1
 361 | 1
 362 | 1
 363 | 1
 364 | 1
 365 | 1
 366 | 1
 367 | 1
 368 | 1
 369 | 1
 370 | 1
 371 | 1
 372 | 1
 373 | 1
 374 | 1
 375 | 1
 376 | 1
 377 | 2
 378 | 2
 379 | 2
 380 | 2
 381 | 2
 382 | 2
 383 | 2
 384 | 2
 385 | 2
 386 | 3
 387 | 2
 388 | 2
 389 | 2
 390 | 2
 391 | 2
 392 | 2
 393 | 2
 394 | 1
 395 | 1
 396 | 1
 397 | 1
 398 | 2
 399 | 3
 400 | 3
 401 | 3
 402 | 3
 403 | 3
 404 | 3
 405 | 1
 406 | 1
 407 | 1
 408 | 1
 409 | 1
 410 | 1
 411 | 1
 412 | 1
 413 | 1
 414 | 1
 415 | 1
 416 | 1
 417 | 1
 418 | 1
 419 | 2
 420 | 2
 421 | 2
 422 | 2
 423 | 2
 424 | 1
 425 | 1
 426 | 1
 427 | 1
 428 | 1
 429 | 1
 430 | 1
 431 | 1
 432 | 1
 433 | 1
 434 | 1
 435 | 1
 436 | 1
 437 | 1
 438 | 2
 439 | 2
 440 | 1
 441 | 2
 442 | 2
 443 | 1
 444 | 1
 445 | 1
 446 | 1
 447 | 1
 448 | 2
 449 | 2
 450 | 2
 451 | 2
 452 | 2
 453 | 1
 454 | 1
 455 | 1
 456 | 1
 457 | 1
 458 | 1
 459 | 2
 460 | 1
 461 | 1
 462 | 1
 463 | 1
 464 | 1
 465 | 1
 466 | 2
 467 | 2
 468 | 2
 469 | 2
 470 | 2
 471 | 2
 472 | 2
 473 | 2
 474 | 1
 475 | 1
 476 | 1
 477 | 1
 478 | 1
 479 | 1
 480 | 1
 481 | 1
 482 | 1
 483 | 1
 484 | 1
 485 | 1
 486 | 1
 487 | 1
 488 | 1
 489 | 1
 490 | 1
 491 | 1
 492 | 1
 493 | 1
 494 | 1
 495 | 1
 496 | 1
 497 | 1
 498 | 1
 499 | 1
 500 | 1
 501 | 1
 502 | 2
 503 | 2
 504 | 1
 505 | 1
 506 | 1
 507 | 1
 508 | 1
 509 | 1
 510 | 1
 511 | 1
 512 | 1
 513 | 1
 514 | 1
 515 | 1
 516 | 1
 517 | 1
 518 | 1
 519 | 1
 520 | 1
 521 | 1
 522 | 1
 523 | 1
 524 | 1
 525 | 1
 526 | 1
 527 | 1
 528 | 1
 529 | 1
 530 | 1
 531 | 1
 532 | 1
 533 | 1
 534 | 1
 535 | 1
 536 | 1
 537 | 2
 538 | 2
 539 | 2
 540 | 2
 541 | 2
 542 | 2
 543 | 1
 544 | 1
 545 | 1
 546 | 1
 547 | 1
 548 | 1
 549 | 1
 550 | 1
 551 | 1
 552 | 1
 553 | 1
 554 | 1
 555 | 1
 556 | 1
 557 | 1
 558 | 1
 559 | 1
 560 | 1
 561 | 1
 562 | 1
 563 | 1
 564 | 1
 565 | 1
 566 | 1
 567 | 1
 568 | 1
 569 | 1
 570 | 1
 571 | 1
 572 | 1
 573 | 2
 574 | 2
 575 | 2
 576 | 2
 577 | 1
 578 | 1
 579 | 2
 580 | 2
 581 | 1
 582 | 1
 583 | 1
 584 | 1
 585 | 1
 586 | 1
 587 | 1
 588 | 1
 589 | 1
 590 | 1
 591 | 2
 592 | 2
 593 | 2
 594 | 1
 595 | 1
 596 | 1
 597 | 1
 598 | 1
 599 | 1
 600 | 1
 601 | 1
 602 | 1
 603 | 1
 604 | 1
 605 | 2
 606 | 3
 607 | 3
 608 | 3
 609 | 3
 610 | 3
 611 | 3
 612 | 3
 613 | 1
 614 | 1
 615 | 1
 616 | 1
 617 | 1
 618 | 1
 619 | 1
 620 | 2
 621 | 2
 622 | 3
 623 | 3
 624 | 2
 625 | 2
 626 | 2
 627 | 3
 628 | 2
 629 | 1
 630 | 1
 631 | 1
 632 | 1
 633 | 1
 634 | 1
 635 | 1
 636 | 1
 637 | 1
 638 | 1
 639 | 1
 640 | 1
 641 | 1
 642 | 2
 643 | 2
 644 | 2
 645 | 2
 646 | 2
 647 | 2
 648 | 3
 649 | 3
 650 | 3
 651 | 2
 652 | 2
 653 | 2
 654 | 2
 655 | 2
 656 | 2
 657 | 1
 658 | 1
 659 | 1
 660 | 1
 661 | 1
 662 | 1
 663 | 1
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 1
 671 | 1
 672 | 1
 673 | 1
 674 | 2
 675 | 2
 676 | 1
 677 | 1
 678 | 1
 679 | 1
 680 | 2
 681 | 2
 682 | 2
 683 | 2
 684 | 1
 685 | 1
 686 | 1
 687 | 1
 688 | 1
 689 | 1
 690 | 1
 691 | 1
 692 | 1
 693 | 1
 694 | 1
 695 | 2
 696 | 2
 697 | 2
 698 | 2
 699 | 2
 700 | 1
 701 | 1
 702 | 1
 703 | 1
 704 | 2
 705 | 2
 706 | 2
 707 | 2
 708 | 2
 709 | 1
 710 | 1
 711 | 1
 712 | 1
 713 | 1
 714 | 1
 715 | 1
 716 | 1
 717 | 1
 718 | 1
 719 | 1
 720 | 1
 721 | 1
 722 | 1
 723 | 1
 724 | 1
 725 | 1
 726 | 1
 727 | 1
 728 | 1
 729 | 2
 730 | 1
 731 | 1
 732 | 1
 733 | 1
 734 | 1
 735 | 2
 736 | 1
 737 | 1
 738 | 1
 739 | 1
 740 | 1
 741 | 1
 742 | 1
 743 | 1
 744 | 1
 745 | 1
 746 | 2
 747 | 1
 748 | 1
 749 | 1
 750 | 1
 751 | 2
 752 | 2
 753 | 1
 754 | 1
 755 | 2
 756 | 1
 757 | 1
 758 | 2
 759 | 2
 760 | 3
 761 | 3
 762 | 3
 763 | 3
 764 | 1
 765 | 1
 766 | 1
 767 | 1
 768 | 1
 769 | 1
 770 | 1
 771 | 2
 772 | 2
 773 | 2
 774 | 2
 775 | 2
 776 | 1
 777 | 1
 778 | 1
 779 | 1
 780 | 1
 781 | 1
 782 | 1
 783 | 1
 784 | 1
 785 | 1
 786 | 1
 787 | 2
 788 | 2
 789 | 2
 790 | 2
 791 | 1
 792 | 1
 793 | 1
 794 | 1
 795 | 1
 796 | 1
 797 | 1
 798 | 1
 799 | 1
 800 | 1
 801 | 1
 802 | 1
 803 | 1
 804 | 1
 805 | 1
 806 | 2
 807 | 1
 808 | 1
 809 | 1
 810 | 1
 811 | 1
 812 | 1
 813 | 1
 814 | 1
 815 | 2
 816 | 2
 817 | 2
 818 | 2
 819 | 2
 820 | 1
 821 | 1
 822 | 1
 823 | 1
 824 | 1
 825 | 1
 826 | 1
 827 | 1
 828 | 1
 829 | 1
 830 | 1
 831 | 1
 832 | 1
 833 | 1
 834 | 2
 835 | 2
 836 | 1
 837 | 1
 838 | 1
 839 | 1
 840 | 1
 841 | 1
 842 | 1
 843 | 1
 844 | 1
 845 | 1
 846 | 1
 847 | 2
 848 | 2
 849 | 1
 850 | 1
 851 | 1
 852 | 1
 853 | 1
 854 | 1
 855 | 1
 856 | 1
 857 | 1
 858 | 1
 859 | 1
 860 | 1
 861 | 1
 862 | 1
 863 | 1
 864 | 1
 865 | 1
 866 | 1
 867 | 1
 868 | 2
 869 | 2
 870 | 2
 871 | 2
 872 | 2
 873 | 2
 874 | 2
 875 | 1
 876 | 1
 877 | 1
 878 | 1
 879 | 1
 880 | 2
 881 | 2
 882 | 2
 883 | 2
 884 | 2
 885 | 2
 886 | 2
 887 | 2
 888 | 2
 889 | 2
 890 | 2
 891 | 2
 892 | 2
 893 | 2
 894 | 2
 895 | 2
 896 | 2
 897 | 1
 898 | 1
 899 | 1
 900 | 1
 901 | 1
 902 | 1
 903 | 1
 904 | 1
 905 | 1
 906 | 1
 907 | 1
 908 | 1
 909 | 1
 910 | 1
 911 | 1
 912 | 1
 913 | 1
 914 | 1
 915 | 1
 916 | 1
 917 | 1
 918 | 1
 919 | 1
 920 | 1
 921 | 1
 922 | 1
 923 | 1
 924 | 1
 925 | 1
 926 | 1
 927 | 1
 928 | 2
 929 | 2
 930 | 2
 931 | 2
 932 | 2
 933 | 2
 934 | 1
 935 | 1
 936 | 1
 937 | 1
 938 | 1
 939 | 1
 940 | 1
 941 | 1
 942 | 1
 943 | 1
 944 | 1
 945 | 1
 946 | 1
 947 | 1
 948 | 1
 949 | 1
 950 | 1
 951 | 1
 952 | 1
 953 | 1
 954 | 1
 955 | 1
 956 | 1
 957 | 1
 958 | 1
 959 | 1
 960 | 1
 961 | 1
 962 | 1
 963 | 1
 964 | 1
 965 | 1
 966 | 1
 967 | 1
 968 | 1
 969 | 1
 970 | 1
 971 | 1
 972 | 1
 973 | 1
 974 | 1
 975 | 1
 976 | 1
 977 | 1
 978 | 1
 979 | 1
 980 | 1
 981 | 1
 982 | 1
 983 | 1
 984 | 1
 985 | 1
 986 | 1
 987 | 2
 988 | 1
 989 | 1
 990 | 1
 991 | 1
 992 | 1
 993 | 1
 994 | 1
 995 | 2
 996 | 1
 997 | 1
 998 | 1
 999 | 1
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x2.csv:
--------------------------------------------------------------------------------
   1 | 3
   2 | 2
   3 | 2
   4 | 2
   5 | 2
   6 | 2
   7 | 2
   8 | 3
   9 | 3
  10 | 3
  11 | 3
  12 | 3
  13 | 3
  14 | 3
  15 | 3
  16 | 3
  17 | 3
  18 | 2
  19 | 1
  20 | 1
  21 | 1
  22 | 1
  23 | 1
  24 | 1
  25 | 2
  26 | 2
  27 | 2
  28 | 3
  29 | 1
  30 | 1
  31 | 1
  32 | 2
  33 | 2
  34 | 2
  35 | 2
  36 | 2
  37 | 2
  38 | 2
  39 | 2
  40 | 1
  41 | 1
  42 | 1
  43 | 1
  44 | 1
  45 | 1
  46 | 2
  47 | 3
  48 | 3
  49 | 3
  50 | 3
  51 | 3
  52 | 1
  53 | 1
  54 | 1
  55 | 1
  56 | 1
  57 | 1
  58 | 1
  59 | 1
  60 | 1
  61 | 2
  62 | 2
  63 | 2
  64 | 2
  65 | 2
  66 | 2
  67 | 2
  68 | 2
  69 | 2
  70 | 3
  71 | 3
  72 | 3
  73 | 3
  74 | 3
  75 | 3
  76 | 3
  77 | 3
  78 | 2
  79 | 2
  80 | 2
  81 | 2
  82 | 3
  83 | 1
  84 | 1
  85 | 1
  86 | 1
  87 | 1
  88 | 1
  89 | 1
  90 | 1
  91 | 1
  92 | 1
  93 | 2
  94 | 2
  95 | 2
  96 | 1
  97 | 1
  98 | 2
  99 | 2
 100 | 2
 101 | 1
 102 | 1
 103 | 1
 104 | 1
 105 | 1
 106 | 1
 107 | 1
 108 | 1
 109 | 1
 110 | 1
 111 | 1
 112 | 2
 113 | 2
 114 | 1
 115 | 1
 116 | 1
 117 | 1
 118 | 1
 119 | 1
 120 | 1
 121 | 1
 122 | 1
 123 | 2
 124 | 2
 125 | 2
 126 | 2
 127 | 2
 128 | 3
 129 | 3
 130 | 3
 131 | 3
 132 | 3
 133 | 2
 134 | 2
 135 | 2
 136 | 1
 137 | 2
 138 | 1
 139 | 2
 140 | 2
 141 | 3
 142 | 2
 143 | 2
 144 | 2
 145 | 2
 146 | 2
 147 | 3
 148 | 3
 149 | 3
 150 | 2
 151 | 2
 152 | 3
 153 | 2
 154 | 2
 155 | 1
 156 | 1
 157 | 2
 158 | 2
 159 | 3
 160 | 3
 161 | 3
 162 | 3
 163 | 3
 164 | 3
 165 | 2
 166 | 1
 167 | 2
 168 | 2
 169 | 2
 170 | 2
 171 | 1
 172 | 2
 173 | 2
 174 | 1
 175 | 1
 176 | 1
 177 | 1
 178 | 1
 179 | 1
 180 | 1
 181 | 1
 182 | 1
 183 | 1
 184 | 1
 185 | 1
 186 | 2
 187 | 1
 188 | 1
 189 | 1
 190 | 1
 191 | 1
 192 | 1
 193 | 1
 194 | 2
 195 | 2
 196 | 2
 197 | 2
 198 | 2
 199 | 2
 200 | 2
 201 | 2
 202 | 2
 203 | 2
 204 | 2
 205 | 2
 206 | 1
 207 | 1
 208 | 1
 209 | 2
 210 | 2
 211 | 2
 212 | 2
 213 | 1
 214 | 1
 215 | 2
 216 | 2
 217 | 2
 218 | 2
 219 | 1
 220 | 1
 221 | 1
 222 | 1
 223 | 1
 224 | 1
 225 | 2
 226 | 2
 227 | 3
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 1
 235 | 2
 236 | 1
 237 | 1
 238 | 1
 239 | 2
 240 | 2
 241 | 2
 242 | 2
 243 | 2
 244 | 1
 245 | 1
 246 | 1
 247 | 1
 248 | 1
 249 | 1
 250 | 1
 251 | 1
 252 | 1
 253 | 1
 254 | 1
 255 | 1
 256 | 1
 257 | 1
 258 | 1
 259 | 1
 260 | 1
 261 | 2
 262 | 2
 263 | 2
 264 | 2
 265 | 1
 266 | 1
 267 | 1
 268 | 1
 269 | 1
 270 | 1
 271 | 1
 272 | 1
 273 | 1
 274 | 1
 275 | 2
 276 | 2
 277 | 2
 278 | 2
 279 | 2
 280 | 2
 281 | 1
 282 | 1
 283 | 2
 284 | 2
 285 | 2
 286 | 2
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 1
 292 | 1
 293 | 1
 294 | 1
 295 | 1
 296 | 1
 297 | 1
 298 | 1
 299 | 1
 300 | 1
 301 | 2
 302 | 3
 303 | 2
 304 | 2
 305 | 2
 306 | 1
 307 | 1
 308 | 2
 309 | 2
 310 | 2
 311 | 2
 312 | 2
 313 | 1
 314 | 1
 315 | 1
 316 | 2
 317 | 2
 318 | 2
 319 | 1
 320 | 1
 321 | 2
 322 | 2
 323 | 2
 324 | 2
 325 | 2
 326 | 2
 327 | 2
 328 | 3
 329 | 3
 330 | 3
 331 | 3
 332 | 3
 333 | 2
 334 | 2
 335 | 2
 336 | 2
 337 | 2
 338 | 3
 339 | 3
 340 | 3
 341 | 3
 342 | 3
 343 | 3
 344 | 3
 345 | 3
 346 | 1
 347 | 1
 348 | 1
 349 | 1
 350 | 2
 351 | 2
 352 | 1
 353 | 1
 354 | 1
 355 | 1
 356 | 1
 357 | 1
 358 | 1
 359 | 1
 360 | 1
 361 | 1
 362 | 1
 363 | 2
 364 | 2
 365 | 2
 366 | 1
 367 | 1
 368 | 2
 369 | 2
 370 | 2
 371 | 2
 372 | 2
 373 | 2
 374 | 2
 375 | 2
 376 | 1
 377 | 1
 378 | 1
 379 | 1
 380 | 1
 381 | 1
 382 | 1
 383 | 1
 384 | 1
 385 | 1
 386 | 1
 387 | 1
 388 | 1
 389 | 1
 390 | 1
 391 | 1
 392 | 1
 393 | 1
 394 | 1
 395 | 1
 396 | 1
 397 | 1
 398 | 1
 399 | 2
 400 | 1
 401 | 1
 402 | 1
 403 | 1
 404 | 1
 405 | 1
 406 | 1
 407 | 1
 408 | 1
 409 | 1
 410 | 1
 411 | 1
 412 | 2
 413 | 2
 414 | 1
 415 | 1
 416 | 1
 417 | 1
 418 | 1
 419 | 1
 420 | 1
 421 | 1
 422 | 1
 423 | 1
 424 | 1
 425 | 1
 426 | 1
 427 | 2
 428 | 1
 429 | 2
 430 | 2
 431 | 2
 432 | 2
 433 | 3
 434 | 3
 435 | 3
 436 | 3
 437 | 2
 438 | 2
 439 | 3
 440 | 3
 441 | 3
 442 | 1
 443 | 1
 444 | 1
 445 | 1
 446 | 1
 447 | 1
 448 | 2
 449 | 3
 450 | 3
 451 | 3
 452 | 3
 453 | 3
 454 | 3
 455 | 1
 456 | 1
 457 | 1
 458 | 1
 459 | 1
 460 | 1
 461 | 1
 462 | 1
 463 | 1
 464 | 1
 465 | 2
 466 | 1
 467 | 1
 468 | 1
 469 | 2
 470 | 1
 471 | 1
 472 | 1
 473 | 1
 474 | 1
 475 | 1
 476 | 1
 477 | 1
 478 | 1
 479 | 1
 480 | 2
 481 | 2
 482 | 2
 483 | 1
 484 | 2
 485 | 2
 486 | 2
 487 | 2
 488 | 2
 489 | 1
 490 | 1
 491 | 1
 492 | 1
 493 | 2
 494 | 2
 495 | 1
 496 | 1
 497 | 1
 498 | 1
 499 | 1
 500 | 1
 501 | 1
 502 | 1
 503 | 2
 504 | 1
 505 | 1
 506 | 1
 507 | 1
 508 | 2
 509 | 1
 510 | 1
 511 | 1
 512 | 1
 513 | 1
 514 | 1
 515 | 1
 516 | 1
 517 | 1
 518 | 1
 519 | 1
 520 | 2
 521 | 2
 522 | 1
 523 | 1
 524 | 1
 525 | 1
 526 | 1
 527 | 1
 528 | 1
 529 | 1
 530 | 1
 531 | 2
 532 | 2
 533 | 2
 534 | 2
 535 | 3
 536 | 3
 537 | 3
 538 | 3
 539 | 2
 540 | 2
 541 | 2
 542 | 1
 543 | 1
 544 | 1
 545 | 1
 546 | 1
 547 | 2
 548 | 1
 549 | 1
 550 | 1
 551 | 2
 552 | 2
 553 | 2
 554 | 2
 555 | 2
 556 | 2
 557 | 1
 558 | 1
 559 | 1
 560 | 1
 561 | 1
 562 | 1
 563 | 2
 564 | 2
 565 | 2
 566 | 2
 567 | 2
 568 | 3
 569 | 3
 570 | 3
 571 | 3
 572 | 3
 573 | 2
 574 | 2
 575 | 3
 576 | 2
 577 | 1
 578 | 1
 579 | 1
 580 | 1
 581 | 1
 582 | 1
 583 | 1
 584 | 2
 585 | 2
 586 | 2
 587 | 2
 588 | 2
 589 | 2
 590 | 1
 591 | 1
 592 | 1
 593 | 2
 594 | 2
 595 | 2
 596 | 1
 597 | 2
 598 | 2
 599 | 2
 600 | 1
 601 | 1
 602 | 1
 603 | 1
 604 | 1
 605 | 1
 606 | 2
 607 | 2
 608 | 2
 609 | 1
 610 | 2
 611 | 2
 612 | 2
 613 | 2
 614 | 3
 615 | 3
 616 | 3
 617 | 3
 618 | 2
 619 | 3
 620 | 3
 621 | 3
 622 | 3
 623 | 3
 624 | 2
 625 | 2
 626 | 2
 627 | 2
 628 | 2
 629 | 1
 630 | 2
 631 | 2
 632 | 2
 633 | 2
 634 | 2
 635 | 2
 636 | 2
 637 | 2
 638 | 2
 639 | 2
 640 | 1
 641 | 1
 642 | 2
 643 | 2
 644 | 2
 645 | 2
 646 | 3
 647 | 2
 648 | 2
 649 | 2
 650 | 2
 651 | 2
 652 | 2
 653 | 2
 654 | 2
 655 | 2
 656 | 2
 657 | 2
 658 | 2
 659 | 2
 660 | 1
 661 | 1
 662 | 1
 663 | 1
 664 | 1
 665 | 2
 666 | 3
 667 | 3
 668 | 2
 669 | 2
 670 | 2
 671 | 1
 672 | 1
 673 | 1
 674 | 1
 675 | 1
 676 | 1
 677 | 1
 678 | 1
 679 | 1
 680 | 1
 681 | 2
 682 | 2
 683 | 2
 684 | 2
 685 | 1
 686 | 1
 687 | 1
 688 | 1
 689 | 1
 690 | 1
 691 | 2
 692 | 2
 693 | 2
 694 | 2
 695 | 2
 696 | 3
 697 | 3
 698 | 3
 699 | 3
 700 | 2
 701 | 2
 702 | 2
 703 | 2
 704 | 3
 705 | 1
 706 | 1
 707 | 1
 708 | 2
 709 | 3
 710 | 1
 711 | 2
 712 | 2
 713 | 2
 714 | 1
 715 | 1
 716 | 1
 717 | 1
 718 | 1
 719 | 1
 720 | 1
 721 | 2
 722 | 2
 723 | 1
 724 | 1
 725 | 1
 726 | 1
 727 | 1
 728 | 1
 729 | 1
 730 | 2
 731 | 1
 732 | 2
 733 | 2
 734 | 2
 735 | 2
 736 | 3
 737 | 3
 738 | 2
 739 | 2
 740 | 1
 741 | 1
 742 | 1
 743 | 1
 744 | 1
 745 | 1
 746 | 1
 747 | 2
 748 | 2
 749 | 3
 750 | 3
 751 | 2
 752 | 1
 753 | 2
 754 | 1
 755 | 1
 756 | 2
 757 | 3
 758 | 3
 759 | 1
 760 | 1
 761 | 1
 762 | 1
 763 | 1
 764 | 1
 765 | 1
 766 | 1
 767 | 1
 768 | 2
 769 | 2
 770 | 2
 771 | 1
 772 | 1
 773 | 1
 774 | 1
 775 | 1
 776 | 1
 777 | 1
 778 | 1
 779 | 2
 780 | 2
 781 | 2
 782 | 2
 783 | 2
 784 | 2
 785 | 2
 786 | 2
 787 | 2
 788 | 2
 789 | 3
 790 | 3
 791 | 2
 792 | 2
 793 | 2
 794 | 2
 795 | 1
 796 | 1
 797 | 2
 798 | 2
 799 | 1
 800 | 1
 801 | 2
 802 | 2
 803 | 2
 804 | 2
 805 | 2
 806 | 2
 807 | 2
 808 | 2
 809 | 2
 810 | 2
 811 | 2
 812 | 2
 813 | 2
 814 | 2
 815 | 2
 816 | 2
 817 | 2
 818 | 2
 819 | 2
 820 | 1
 821 | 2
 822 | 3
 823 | 3
 824 | 3
 825 | 3
 826 | 1
 827 | 2
 828 | 2
 829 | 2
 830 | 2
 831 | 2
 832 | 2
 833 | 2
 834 | 2
 835 | 3
 836 | 3
 837 | 2
 838 | 2
 839 | 2
 840 | 2
 841 | 1
 842 | 2
 843 | 2
 844 | 2
 845 | 2
 846 | 3
 847 | 3
 848 | 3
 849 | 3
 850 | 3
 851 | 3
 852 | 3
 853 | 1
 854 | 1
 855 | 1
 856 | 1
 857 | 2
 858 | 3
 859 | 3
 860 | 2
 861 | 2
 862 | 2
 863 | 2
 864 | 3
 865 | 3
 866 | 1
 867 | 1
 868 | 2
 869 | 2
 870 | 3
 871 | 3
 872 | 3
 873 | 1
 874 | 1
 875 | 1
 876 | 1
 877 | 1
 878 | 1
 879 | 1
 880 | 1
 881 | 1
 882 | 1
 883 | 1
 884 | 1
 885 | 1
 886 | 2
 887 | 2
 888 | 1
 889 | 1
 890 | 1
 891 | 1
 892 | 1
 893 | 1
 894 | 1
 895 | 1
 896 | 1
 897 | 1
 898 | 1
 899 | 2
 900 | 3
 901 | 3
 902 | 3
 903 | 3
 904 | 2
 905 | 2
 906 | 2
 907 | 2
 908 | 2
 909 | 2
 910 | 2
 911 | 2
 912 | 2
 913 | 3
 914 | 3
 915 | 1
 916 | 1
 917 | 1
 918 | 1
 919 | 1
 920 | 1
 921 | 1
 922 | 1
 923 | 1
 924 | 1
 925 | 1
 926 | 1
 927 | 1
 928 | 1
 929 | 1
 930 | 1
 931 | 1
 932 | 2
 933 | 2
 934 | 2
 935 | 2
 936 | 2
 937 | 2
 938 | 2
 939 | 2
 940 | 1
 941 | 1
 942 | 1
 943 | 1
 944 | 1
 945 | 1
 946 | 2
 947 | 2
 948 | 2
 949 | 2
 950 | 2
 951 | 2
 952 | 2
 953 | 2
 954 | 1
 955 | 1
 956 | 1
 957 | 1
 958 | 2
 959 | 3
 960 | 3
 961 | 3
 962 | 2
 963 | 3
 964 | 3
 965 | 3
 966 | 3
 967 | 2
 968 | 2
 969 | 2
 970 | 2
 971 | 1
 972 | 1
 973 | 1
 974 | 1
 975 | 1
 976 | 1
 977 | 1
 978 | 2
 979 | 2
 980 | 3
 981 | 1
 982 | 1
 983 | 1
 984 | 1
 985 | 1
 986 | 1
 987 | 1
 988 | 1
 989 | 1
 990 | 1
 991 | 1
 992 | 2
 993 | 2
 994 | 1
 995 | 1
 996 | 2
 997 | 2
 998 | 2
 999 | 2
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x20.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 1
   3 | 1
   4 | 1
   5 | 1
   6 | 1
   7 | 1
   8 | 1
   9 | 1
  10 | 1
  11 | 1
  12 | 1
  13 | 1
  14 | 1
  15 | 2
  16 | 2
  17 | 1
  18 | 1
  19 | 1
  20 | 1
  21 | 1
  22 | 2
  23 | 2
  24 | 1
  25 | 1
  26 | 1
  27 | 1
  28 | 1
  29 | 1
  30 | 1
  31 | 1
  32 | 1
  33 | 1
  34 | 1
  35 | 1
  36 | 1
  37 | 1
  38 | 1
  39 | 1
  40 | 2
  41 | 2
  42 | 2
  43 | 2
  44 | 2
  45 | 1
  46 | 2
  47 | 2
  48 | 2
  49 | 2
  50 | 1
  51 | 1
  52 | 1
  53 | 1
  54 | 1
  55 | 1
  56 | 2
  57 | 2
  58 | 3
  59 | 3
  60 | 3
  61 | 2
  62 | 1
  63 | 2
  64 | 2
  65 | 2
  66 | 2
  67 | 2
  68 | 2
  69 | 2
  70 | 2
  71 | 1
  72 | 1
  73 | 1
  74 | 1
  75 | 1
  76 | 1
  77 | 2
  78 | 3
  79 | 2
  80 | 2
  81 | 2
  82 | 2
  83 | 2
  84 | 2
  85 | 2
  86 | 2
  87 | 2
  88 | 2
  89 | 1
  90 | 1
  91 | 1
  92 | 1
  93 | 1
  94 | 1
  95 | 2
  96 | 2
  97 | 2
  98 | 2
  99 | 1
 100 | 1
 101 | 1
 102 | 1
 103 | 1
 104 | 1
 105 | 1
 106 | 1
 107 | 1
 108 | 1
 109 | 1
 110 | 1
 111 | 1
 112 | 1
 113 | 1
 114 | 1
 115 | 2
 116 | 2
 117 | 1
 118 | 1
 119 | 1
 120 | 1
 121 | 1
 122 | 1
 123 | 1
 124 | 1
 125 | 1
 126 | 1
 127 | 1
 128 | 1
 129 | 1
 130 | 2
 131 | 2
 132 | 2
 133 | 2
 134 | 2
 135 | 2
 136 | 2
 137 | 2
 138 | 2
 139 | 1
 140 | 1
 141 | 1
 142 | 1
 143 | 2
 144 | 2
 145 | 2
 146 | 2
 147 | 2
 148 | 2
 149 | 2
 150 | 2
 151 | 2
 152 | 2
 153 | 3
 154 | 3
 155 | 3
 156 | 3
 157 | 3
 158 | 3
 159 | 3
 160 | 3
 161 | 1
 162 | 1
 163 | 1
 164 | 1
 165 | 1
 166 | 1
 167 | 1
 168 | 1
 169 | 1
 170 | 1
 171 | 1
 172 | 1
 173 | 1
 174 | 2
 175 | 1
 176 | 1
 177 | 1
 178 | 1
 179 | 1
 180 | 1
 181 | 1
 182 | 1
 183 | 1
 184 | 1
 185 | 1
 186 | 1
 187 | 1
 188 | 1
 189 | 1
 190 | 1
 191 | 1
 192 | 1
 193 | 1
 194 | 1
 195 | 1
 196 | 1
 197 | 1
 198 | 1
 199 | 1
 200 | 1
 201 | 1
 202 | 1
 203 | 1
 204 | 1
 205 | 1
 206 | 1
 207 | 2
 208 | 1
 209 | 1
 210 | 1
 211 | 1
 212 | 1
 213 | 1
 214 | 2
 215 | 3
 216 | 3
 217 | 3
 218 | 2
 219 | 2
 220 | 2
 221 | 2
 222 | 2
 223 | 2
 224 | 1
 225 | 1
 226 | 1
 227 | 1
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 1
 235 | 1
 236 | 1
 237 | 1
 238 | 1
 239 | 1
 240 | 1
 241 | 2
 242 | 1
 243 | 1
 244 | 1
 245 | 2
 246 | 2
 247 | 2
 248 | 2
 249 | 2
 250 | 2
 251 | 2
 252 | 2
 253 | 2
 254 | 2
 255 | 1
 256 | 1
 257 | 1
 258 | 1
 259 | 1
 260 | 1
 261 | 1
 262 | 1
 263 | 1
 264 | 1
 265 | 2
 266 | 2
 267 | 2
 268 | 2
 269 | 2
 270 | 1
 271 | 1
 272 | 1
 273 | 1
 274 | 1
 275 | 1
 276 | 1
 277 | 1
 278 | 1
 279 | 2
 280 | 2
 281 | 2
 282 | 2
 283 | 2
 284 | 2
 285 | 2
 286 | 2
 287 | 2
 288 | 1
 289 | 1
 290 | 2
 291 | 2
 292 | 1
 293 | 1
 294 | 1
 295 | 1
 296 | 1
 297 | 1
 298 | 1
 299 | 1
 300 | 1
 301 | 1
 302 | 2
 303 | 2
 304 | 1
 305 | 1
 306 | 1
 307 | 1
 308 | 1
 309 | 1
 310 | 1
 311 | 1
 312 | 1
 313 | 1
 314 | 1
 315 | 2
 316 | 2
 317 | 2
 318 | 2
 319 | 2
 320 | 3
 321 | 3
 322 | 3
 323 | 3
 324 | 2
 325 | 2
 326 | 2
 327 | 2
 328 | 2
 329 | 2
 330 | 2
 331 | 2
 332 | 1
 333 | 1
 334 | 2
 335 | 2
 336 | 1
 337 | 1
 338 | 1
 339 | 1
 340 | 1
 341 | 1
 342 | 1
 343 | 1
 344 | 1
 345 | 1
 346 | 1
 347 | 1
 348 | 1
 349 | 1
 350 | 1
 351 | 1
 352 | 1
 353 | 1
 354 | 1
 355 | 1
 356 | 1
 357 | 1
 358 | 1
 359 | 1
 360 | 1
 361 | 1
 362 | 1
 363 | 1
 364 | 2
 365 | 2
 366 | 2
 367 | 1
 368 | 1
 369 | 1
 370 | 1
 371 | 1
 372 | 1
 373 | 1
 374 | 1
 375 | 1
 376 | 1
 377 | 2
 378 | 1
 379 | 1
 380 | 1
 381 | 1
 382 | 1
 383 | 1
 384 | 1
 385 | 1
 386 | 1
 387 | 1
 388 | 1
 389 | 1
 390 | 2
 391 | 2
 392 | 2
 393 | 2
 394 | 2
 395 | 1
 396 | 1
 397 | 1
 398 | 2
 399 | 1
 400 | 1
 401 | 1
 402 | 2
 403 | 1
 404 | 1
 405 | 1
 406 | 1
 407 | 1
 408 | 1
 409 | 1
 410 | 1
 411 | 1
 412 | 1
 413 | 1
 414 | 1
 415 | 1
 416 | 1
 417 | 2
 418 | 1
 419 | 2
 420 | 2
 421 | 1
 422 | 1
 423 | 1
 424 | 1
 425 | 1
 426 | 1
 427 | 1
 428 | 2
 429 | 1
 430 | 1
 431 | 1
 432 | 1
 433 | 1
 434 | 1
 435 | 1
 436 | 2
 437 | 2
 438 | 1
 439 | 1
 440 | 1
 441 | 1
 442 | 1
 443 | 1
 444 | 1
 445 | 1
 446 | 1
 447 | 1
 448 | 1
 449 | 2
 450 | 2
 451 | 2
 452 | 2
 453 | 2
 454 | 2
 455 | 2
 456 | 2
 457 | 1
 458 | 1
 459 | 1
 460 | 2
 461 | 2
 462 | 2
 463 | 2
 464 | 2
 465 | 2
 466 | 2
 467 | 2
 468 | 2
 469 | 2
 470 | 2
 471 | 1
 472 | 1
 473 | 1
 474 | 1
 475 | 1
 476 | 1
 477 | 1
 478 | 1
 479 | 1
 480 | 1
 481 | 1
 482 | 1
 483 | 1
 484 | 1
 485 | 1
 486 | 1
 487 | 1
 488 | 1
 489 | 1
 490 | 1
 491 | 1
 492 | 1
 493 | 1
 494 | 2
 495 | 1
 496 | 1
 497 | 1
 498 | 1
 499 | 1
 500 | 1
 501 | 2
 502 | 2
 503 | 2
 504 | 2
 505 | 3
 506 | 2
 507 | 2
 508 | 2
 509 | 2
 510 | 2
 511 | 1
 512 | 1
 513 | 1
 514 | 1
 515 | 1
 516 | 1
 517 | 1
 518 | 2
 519 | 1
 520 | 1
 521 | 1
 522 | 1
 523 | 1
 524 | 1
 525 | 1
 526 | 1
 527 | 1
 528 | 1
 529 | 1
 530 | 1
 531 | 2
 532 | 2
 533 | 2
 534 | 2
 535 | 2
 536 | 2
 537 | 3
 538 | 1
 539 | 2
 540 | 2
 541 | 2
 542 | 2
 543 | 2
 544 | 1
 545 | 2
 546 | 2
 547 | 2
 548 | 1
 549 | 1
 550 | 1
 551 | 2
 552 | 2
 553 | 2
 554 | 2
 555 | 1
 556 | 1
 557 | 2
 558 | 1
 559 | 1
 560 | 1
 561 | 1
 562 | 1
 563 | 2
 564 | 2
 565 | 1
 566 | 2
 567 | 2
 568 | 2
 569 | 2
 570 | 2
 571 | 2
 572 | 2
 573 | 3
 574 | 2
 575 | 2
 576 | 1
 577 | 1
 578 | 1
 579 | 1
 580 | 1
 581 | 1
 582 | 1
 583 | 1
 584 | 1
 585 | 1
 586 | 1
 587 | 1
 588 | 1
 589 | 1
 590 | 1
 591 | 1
 592 | 1
 593 | 1
 594 | 1
 595 | 1
 596 | 1
 597 | 2
 598 | 2
 599 | 3
 600 | 3
 601 | 3
 602 | 3
 603 | 3
 604 | 2
 605 | 2
 606 | 2
 607 | 2
 608 | 2
 609 | 2
 610 | 2
 611 | 2
 612 | 1
 613 | 1
 614 | 1
 615 | 1
 616 | 1
 617 | 1
 618 | 1
 619 | 1
 620 | 1
 621 | 1
 622 | 1
 623 | 1
 624 | 1
 625 | 1
 626 | 1
 627 | 1
 628 | 1
 629 | 1
 630 | 1
 631 | 1
 632 | 1
 633 | 1
 634 | 2
 635 | 2
 636 | 2
 637 | 2
 638 | 2
 639 | 2
 640 | 3
 641 | 3
 642 | 3
 643 | 2
 644 | 2
 645 | 2
 646 | 2
 647 | 1
 648 | 1
 649 | 1
 650 | 1
 651 | 1
 652 | 1
 653 | 2
 654 | 2
 655 | 1
 656 | 1
 657 | 1
 658 | 1
 659 | 1
 660 | 1
 661 | 1
 662 | 1
 663 | 1
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 1
 671 | 1
 672 | 1
 673 | 1
 674 | 1
 675 | 1
 676 | 1
 677 | 1
 678 | 1
 679 | 1
 680 | 1
 681 | 1
 682 | 1
 683 | 1
 684 | 1
 685 | 1
 686 | 1
 687 | 1
 688 | 1
 689 | 1
 690 | 1
 691 | 1
 692 | 1
 693 | 1
 694 | 1
 695 | 2
 696 | 2
 697 | 2
 698 | 2
 699 | 1
 700 | 2
 701 | 2
 702 | 3
 703 | 2
 704 | 2
 705 | 2
 706 | 2
 707 | 2
 708 | 2
 709 | 2
 710 | 2
 711 | 2
 712 | 2
 713 | 2
 714 | 2
 715 | 2
 716 | 1
 717 | 1
 718 | 1
 719 | 1
 720 | 1
 721 | 1
 722 | 1
 723 | 1
 724 | 1
 725 | 2
 726 | 2
 727 | 2
 728 | 2
 729 | 2
 730 | 2
 731 | 2
 732 | 2
 733 | 2
 734 | 2
 735 | 2
 736 | 1
 737 | 1
 738 | 2
 739 | 2
 740 | 3
 741 | 2
 742 | 1
 743 | 1
 744 | 1
 745 | 1
 746 | 1
 747 | 1
 748 | 2
 749 | 2
 750 | 2
 751 | 1
 752 | 1
 753 | 1
 754 | 1
 755 | 1
 756 | 1
 757 | 1
 758 | 1
 759 | 1
 760 | 1
 761 | 2
 762 | 1
 763 | 1
 764 | 1
 765 | 1
 766 | 1
 767 | 1
 768 | 1
 769 | 2
 770 | 1
 771 | 1
 772 | 1
 773 | 1
 774 | 1
 775 | 1
 776 | 1
 777 | 1
 778 | 1
 779 | 2
 780 | 2
 781 | 2
 782 | 2
 783 | 2
 784 | 2
 785 | 1
 786 | 1
 787 | 1
 788 | 1
 789 | 1
 790 | 1
 791 | 1
 792 | 1
 793 | 1
 794 | 1
 795 | 1
 796 | 1
 797 | 1
 798 | 2
 799 | 2
 800 | 2
 801 | 1
 802 | 1
 803 | 2
 804 | 2
 805 | 2
 806 | 2
 807 | 1
 808 | 1
 809 | 1
 810 | 2
 811 | 2
 812 | 1
 813 | 2
 814 | 2
 815 | 2
 816 | 2
 817 | 2
 818 | 1
 819 | 1
 820 | 1
 821 | 1
 822 | 1
 823 | 1
 824 | 1
 825 | 1
 826 | 1
 827 | 2
 828 | 2
 829 | 1
 830 | 1
 831 | 1
 832 | 1
 833 | 1
 834 | 2
 835 | 1
 836 | 1
 837 | 1
 838 | 1
 839 | 1
 840 | 1
 841 | 1
 842 | 2
 843 | 2
 844 | 2
 845 | 2
 846 | 2
 847 | 1
 848 | 1
 849 | 1
 850 | 1
 851 | 1
 852 | 1
 853 | 1
 854 | 1
 855 | 1
 856 | 2
 857 | 2
 858 | 2
 859 | 2
 860 | 1
 861 | 1
 862 | 1
 863 | 1
 864 | 1
 865 | 1
 866 | 1
 867 | 2
 868 | 2
 869 | 2
 870 | 2
 871 | 3
 872 | 1
 873 | 1
 874 | 1
 875 | 1
 876 | 1
 877 | 1
 878 | 1
 879 | 1
 880 | 1
 881 | 1
 882 | 1
 883 | 1
 884 | 1
 885 | 2
 886 | 3
 887 | 3
 888 | 3
 889 | 2
 890 | 1
 891 | 1
 892 | 1
 893 | 1
 894 | 1
 895 | 1
 896 | 1
 897 | 1
 898 | 1
 899 | 1
 900 | 1
 901 | 1
 902 | 1
 903 | 1
 904 | 1
 905 | 1
 906 | 1
 907 | 1
 908 | 1
 909 | 2
 910 | 2
 911 | 2
 912 | 2
 913 | 1
 914 | 1
 915 | 1
 916 | 1
 917 | 1
 918 | 1
 919 | 1
 920 | 2
 921 | 2
 922 | 1
 923 | 1
 924 | 2
 925 | 1
 926 | 1
 927 | 1
 928 | 1
 929 | 1
 930 | 1
 931 | 1
 932 | 1
 933 | 1
 934 | 1
 935 | 1
 936 | 1
 937 | 1
 938 | 1
 939 | 1
 940 | 1
 941 | 1
 942 | 1
 943 | 2
 944 | 2
 945 | 2
 946 | 2
 947 | 2
 948 | 1
 949 | 1
 950 | 1
 951 | 1
 952 | 1
 953 | 1
 954 | 1
 955 | 2
 956 | 2
 957 | 2
 958 | 2
 959 | 2
 960 | 2
 961 | 2
 962 | 2
 963 | 1
 964 | 1
 965 | 1
 966 | 1
 967 | 2
 968 | 1
 969 | 1
 970 | 1
 971 | 2
 972 | 2
 973 | 2
 974 | 1
 975 | 1
 976 | 2
 977 | 2
 978 | 2
 979 | 3
 980 | 3
 981 | 2
 982 | 2
 983 | 2
 984 | 2
 985 | 2
 986 | 2
 987 | 2
 988 | 2
 989 | 2
 990 | 2
 991 | 2
 992 | 2
 993 | 2
 994 | 2
 995 | 2
 996 | 2
 997 | 2
 998 | 1
 999 | 1
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x3.csv:
--------------------------------------------------------------------------------
   1 | 2
   2 | 2
   3 | 2
   4 | 1
   5 | 1
   6 | 1
   7 | 1
   8 | 1
   9 | 2
  10 | 2
  11 | 1
  12 | 1
  13 | 1
  14 | 1
  15 | 1
  16 | 1
  17 | 1
  18 | 1
  19 | 1
  20 | 1
  21 | 2
  22 | 2
  23 | 2
  24 | 1
  25 | 1
  26 | 2
  27 | 2
  28 | 2
  29 | 3
  30 | 3
  31 | 3
  32 | 3
  33 | 3
  34 | 2
  35 | 2
  36 | 2
  37 | 1
  38 | 1
  39 | 2
  40 | 2
  41 | 2
  42 | 2
  43 | 2
  44 | 2
  45 | 2
  46 | 2
  47 | 1
  48 | 1
  49 | 1
  50 | 1
  51 | 1
  52 | 1
  53 | 2
  54 | 2
  55 | 1
  56 | 2
  57 | 2
  58 | 2
  59 | 2
  60 | 3
  61 | 1
  62 | 1
  63 | 1
  64 | 1
  65 | 1
  66 | 1
  67 | 1
  68 | 1
  69 | 1
  70 | 1
  71 | 1
  72 | 1
  73 | 1
  74 | 2
  75 | 2
  76 | 2
  77 | 2
  78 | 2
  79 | 2
  80 | 2
  81 | 2
  82 | 2
  83 | 2
  84 | 2
  85 | 2
  86 | 1
  87 | 1
  88 | 1
  89 | 2
  90 | 2
  91 | 2
  92 | 2
  93 | 2
  94 | 2
  95 | 2
  96 | 2
  97 | 3
  98 | 3
  99 | 2
 100 | 2
 101 | 3
 102 | 3
 103 | 3
 104 | 3
 105 | 3
 106 | 2
 107 | 2
 108 | 3
 109 | 3
 110 | 3
 111 | 3
 112 | 2
 113 | 2
 114 | 2
 115 | 2
 116 | 2
 117 | 3
 118 | 3
 119 | 2
 120 | 2
 121 | 1
 122 | 2
 123 | 2
 124 | 2
 125 | 2
 126 | 2
 127 | 3
 128 | 1
 129 | 1
 130 | 1
 131 | 1
 132 | 2
 133 | 2
 134 | 2
 135 | 2
 136 | 2
 137 | 2
 138 | 2
 139 | 2
 140 | 2
 141 | 2
 142 | 2
 143 | 1
 144 | 2
 145 | 2
 146 | 2
 147 | 2
 148 | 1
 149 | 1
 150 | 1
 151 | 1
 152 | 1
 153 | 1
 154 | 1
 155 | 1
 156 | 1
 157 | 1
 158 | 2
 159 | 2
 160 | 1
 161 | 1
 162 | 1
 163 | 2
 164 | 2
 165 | 2
 166 | 2
 167 | 2
 168 | 2
 169 | 2
 170 | 3
 171 | 3
 172 | 3
 173 | 3
 174 | 1
 175 | 1
 176 | 1
 177 | 1
 178 | 1
 179 | 2
 180 | 1
 181 | 1
 182 | 1
 183 | 1
 184 | 2
 185 | 1
 186 | 1
 187 | 1
 188 | 1
 189 | 1
 190 | 1
 191 | 2
 192 | 3
 193 | 1
 194 | 1
 195 | 1
 196 | 1
 197 | 1
 198 | 2
 199 | 3
 200 | 2
 201 | 2
 202 | 2
 203 | 3
 204 | 1
 205 | 1
 206 | 1
 207 | 1
 208 | 1
 209 | 1
 210 | 2
 211 | 3
 212 | 3
 213 | 2
 214 | 3
 215 | 3
 216 | 3
 217 | 3
 218 | 3
 219 | 3
 220 | 2
 221 | 2
 222 | 2
 223 | 2
 224 | 2
 225 | 2
 226 | 3
 227 | 3
 228 | 2
 229 | 2
 230 | 2
 231 | 2
 232 | 1
 233 | 1
 234 | 1
 235 | 1
 236 | 1
 237 | 1
 238 | 2
 239 | 2
 240 | 2
 241 | 2
 242 | 2
 243 | 2
 244 | 1
 245 | 1
 246 | 1
 247 | 2
 248 | 2
 249 | 2
 250 | 2
 251 | 2
 252 | 2
 253 | 2
 254 | 2
 255 | 2
 256 | 2
 257 | 2
 258 | 2
 259 | 2
 260 | 2
 261 | 2
 262 | 2
 263 | 2
 264 | 2
 265 | 2
 266 | 2
 267 | 2
 268 | 1
 269 | 1
 270 | 1
 271 | 1
 272 | 2
 273 | 2
 274 | 2
 275 | 3
 276 | 3
 277 | 3
 278 | 3
 279 | 3
 280 | 3
 281 | 2
 282 | 2
 283 | 2
 284 | 2
 285 | 2
 286 | 2
 287 | 2
 288 | 2
 289 | 2
 290 | 2
 291 | 1
 292 | 1
 293 | 2
 294 | 2
 295 | 2
 296 | 2
 297 | 2
 298 | 2
 299 | 2
 300 | 2
 301 | 3
 302 | 3
 303 | 3
 304 | 1
 305 | 1
 306 | 2
 307 | 2
 308 | 2
 309 | 1
 310 | 2
 311 | 3
 312 | 3
 313 | 3
 314 | 3
 315 | 3
 316 | 3
 317 | 3
 318 | 3
 319 | 3
 320 | 3
 321 | 1
 322 | 1
 323 | 1
 324 | 2
 325 | 1
 326 | 1
 327 | 1
 328 | 1
 329 | 1
 330 | 2
 331 | 3
 332 | 3
 333 | 3
 334 | 2
 335 | 2
 336 | 2
 337 | 2
 338 | 3
 339 | 3
 340 | 3
 341 | 3
 342 | 3
 343 | 2
 344 | 2
 345 | 2
 346 | 2
 347 | 2
 348 | 1
 349 | 1
 350 | 1
 351 | 2
 352 | 2
 353 | 2
 354 | 2
 355 | 1
 356 | 2
 357 | 2
 358 | 2
 359 | 2
 360 | 2
 361 | 2
 362 | 1
 363 | 2
 364 | 2
 365 | 3
 366 | 2
 367 | 2
 368 | 2
 369 | 2
 370 | 2
 371 | 2
 372 | 2
 373 | 2
 374 | 2
 375 | 1
 376 | 1
 377 | 1
 378 | 1
 379 | 1
 380 | 1
 381 | 1
 382 | 1
 383 | 1
 384 | 2
 385 | 1
 386 | 2
 387 | 2
 388 | 2
 389 | 3
 390 | 2
 391 | 2
 392 | 3
 393 | 3
 394 | 3
 395 | 2
 396 | 2
 397 | 2
 398 | 1
 399 | 1
 400 | 1
 401 | 2
 402 | 2
 403 | 3
 404 | 3
 405 | 3
 406 | 2
 407 | 2
 408 | 3
 409 | 2
 410 | 2
 411 | 2
 412 | 3
 413 | 1
 414 | 1
 415 | 2
 416 | 2
 417 | 2
 418 | 2
 419 | 2
 420 | 2
 421 | 2
 422 | 2
 423 | 2
 424 | 2
 425 | 1
 426 | 1
 427 | 1
 428 | 1
 429 | 1
 430 | 2
 431 | 1
 432 | 1
 433 | 1
 434 | 1
 435 | 2
 436 | 2
 437 | 1
 438 | 2
 439 | 2
 440 | 2
 441 | 2
 442 | 2
 443 | 2
 444 | 2
 445 | 2
 446 | 3
 447 | 3
 448 | 3
 449 | 3
 450 | 3
 451 | 3
 452 | 2
 453 | 2
 454 | 2
 455 | 2
 456 | 1
 457 | 1
 458 | 2
 459 | 1
 460 | 2
 461 | 3
 462 | 2
 463 | 2
 464 | 1
 465 | 1
 466 | 1
 467 | 1
 468 | 1
 469 | 2
 470 | 1
 471 | 1
 472 | 1
 473 | 1
 474 | 1
 475 | 1
 476 | 1
 477 | 1
 478 | 1
 479 | 1
 480 | 1
 481 | 1
 482 | 1
 483 | 1
 484 | 1
 485 | 1
 486 | 1
 487 | 1
 488 | 2
 489 | 2
 490 | 2
 491 | 2
 492 | 1
 493 | 1
 494 | 1
 495 | 1
 496 | 2
 497 | 2
 498 | 2
 499 | 2
 500 | 2
 501 | 1
 502 | 2
 503 | 2
 504 | 2
 505 | 3
 506 | 3
 507 | 2
 508 | 2
 509 | 1
 510 | 1
 511 | 1
 512 | 1
 513 | 1
 514 | 2
 515 | 2
 516 | 2
 517 | 3
 518 | 3
 519 | 3
 520 | 3
 521 | 3
 522 | 1
 523 | 1
 524 | 2
 525 | 2
 526 | 2
 527 | 2
 528 | 2
 529 | 2
 530 | 2
 531 | 1
 532 | 2
 533 | 2
 534 | 1
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 1
 542 | 2
 543 | 2
 544 | 2
 545 | 2
 546 | 3
 547 | 3
 548 | 3
 549 | 1
 550 | 2
 551 | 2
 552 | 2
 553 | 1
 554 | 1
 555 | 1
 556 | 2
 557 | 2
 558 | 2
 559 | 2
 560 | 2
 561 | 2
 562 | 2
 563 | 2
 564 | 2
 565 | 2
 566 | 2
 567 | 1
 568 | 1
 569 | 2
 570 | 2
 571 | 2
 572 | 1
 573 | 1
 574 | 1
 575 | 1
 576 | 1
 577 | 2
 578 | 2
 579 | 2
 580 | 3
 581 | 1
 582 | 1
 583 | 1
 584 | 1
 585 | 1
 586 | 2
 587 | 2
 588 | 2
 589 | 2
 590 | 2
 591 | 2
 592 | 2
 593 | 2
 594 | 2
 595 | 2
 596 | 1
 597 | 2
 598 | 1
 599 | 1
 600 | 1
 601 | 1
 602 | 1
 603 | 1
 604 | 1
 605 | 1
 606 | 1
 607 | 1
 608 | 1
 609 | 2
 610 | 2
 611 | 2
 612 | 2
 613 | 2
 614 | 2
 615 | 2
 616 | 2
 617 | 2
 618 | 2
 619 | 2
 620 | 2
 621 | 2
 622 | 2
 623 | 2
 624 | 2
 625 | 2
 626 | 1
 627 | 2
 628 | 1
 629 | 1
 630 | 2
 631 | 2
 632 | 2
 633 | 1
 634 | 1
 635 | 1
 636 | 1
 637 | 1
 638 | 1
 639 | 1
 640 | 1
 641 | 2
 642 | 1
 643 | 1
 644 | 1
 645 | 1
 646 | 1
 647 | 1
 648 | 1
 649 | 1
 650 | 1
 651 | 1
 652 | 1
 653 | 1
 654 | 1
 655 | 1
 656 | 1
 657 | 1
 658 | 1
 659 | 1
 660 | 1
 661 | 1
 662 | 1
 663 | 1
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 2
 671 | 2
 672 | 2
 673 | 1
 674 | 1
 675 | 1
 676 | 1
 677 | 1
 678 | 1
 679 | 1
 680 | 1
 681 | 1
 682 | 1
 683 | 1
 684 | 1
 685 | 1
 686 | 1
 687 | 1
 688 | 1
 689 | 1
 690 | 1
 691 | 1
 692 | 1
 693 | 2
 694 | 3
 695 | 3
 696 | 3
 697 | 2
 698 | 2
 699 | 2
 700 | 2
 701 | 1
 702 | 1
 703 | 1
 704 | 1
 705 | 2
 706 | 2
 707 | 2
 708 | 2
 709 | 2
 710 | 2
 711 | 2
 712 | 2
 713 | 2
 714 | 3
 715 | 2
 716 | 3
 717 | 3
 718 | 3
 719 | 2
 720 | 2
 721 | 2
 722 | 2
 723 | 2
 724 | 2
 725 | 3
 726 | 3
 727 | 1
 728 | 1
 729 | 1
 730 | 1
 731 | 1
 732 | 1
 733 | 1
 734 | 1
 735 | 2
 736 | 2
 737 | 2
 738 | 3
 739 | 2
 740 | 2
 741 | 2
 742 | 3
 743 | 3
 744 | 3
 745 | 3
 746 | 3
 747 | 3
 748 | 3
 749 | 3
 750 | 3
 751 | 2
 752 | 2
 753 | 2
 754 | 2
 755 | 2
 756 | 2
 757 | 2
 758 | 2
 759 | 2
 760 | 1
 761 | 1
 762 | 2
 763 | 1
 764 | 2
 765 | 3
 766 | 3
 767 | 2
 768 | 2
 769 | 2
 770 | 2
 771 | 1
 772 | 1
 773 | 2
 774 | 2
 775 | 2
 776 | 1
 777 | 2
 778 | 2
 779 | 2
 780 | 2
 781 | 2
 782 | 3
 783 | 1
 784 | 2
 785 | 2
 786 | 2
 787 | 2
 788 | 2
 789 | 2
 790 | 2
 791 | 3
 792 | 3
 793 | 2
 794 | 2
 795 | 2
 796 | 2
 797 | 2
 798 | 2
 799 | 2
 800 | 2
 801 | 2
 802 | 2
 803 | 2
 804 | 2
 805 | 2
 806 | 3
 807 | 3
 808 | 3
 809 | 3
 810 | 3
 811 | 3
 812 | 3
 813 | 3
 814 | 3
 815 | 3
 816 | 2
 817 | 2
 818 | 1
 819 | 1
 820 | 1
 821 | 1
 822 | 1
 823 | 1
 824 | 2
 825 | 2
 826 | 2
 827 | 2
 828 | 3
 829 | 1
 830 | 1
 831 | 2
 832 | 2
 833 | 2
 834 | 2
 835 | 2
 836 | 2
 837 | 3
 838 | 3
 839 | 3
 840 | 2
 841 | 1
 842 | 2
 843 | 2
 844 | 2
 845 | 2
 846 | 2
 847 | 2
 848 | 2
 849 | 3
 850 | 3
 851 | 3
 852 | 3
 853 | 3
 854 | 3
 855 | 3
 856 | 1
 857 | 2
 858 | 2
 859 | 2
 860 | 2
 861 | 2
 862 | 1
 863 | 1
 864 | 2
 865 | 2
 866 | 2
 867 | 2
 868 | 2
 869 | 2
 870 | 2
 871 | 1
 872 | 1
 873 | 1
 874 | 1
 875 | 1
 876 | 1
 877 | 1
 878 | 1
 879 | 1
 880 | 2
 881 | 2
 882 | 2
 883 | 2
 884 | 2
 885 | 2
 886 | 1
 887 | 1
 888 | 1
 889 | 1
 890 | 2
 891 | 2
 892 | 1
 893 | 1
 894 | 1
 895 | 2
 896 | 1
 897 | 1
 898 | 1
 899 | 1
 900 | 1
 901 | 2
 902 | 2
 903 | 3
 904 | 3
 905 | 2
 906 | 2
 907 | 2
 908 | 2
 909 | 1
 910 | 1
 911 | 1
 912 | 1
 913 | 1
 914 | 1
 915 | 2
 916 | 2
 917 | 2
 918 | 2
 919 | 2
 920 | 2
 921 | 2
 922 | 2
 923 | 2
 924 | 3
 925 | 3
 926 | 2
 927 | 3
 928 | 3
 929 | 3
 930 | 3
 931 | 2
 932 | 2
 933 | 2
 934 | 3
 935 | 2
 936 | 2
 937 | 2
 938 | 2
 939 | 3
 940 | 3
 941 | 3
 942 | 1
 943 | 2
 944 | 2
 945 | 1
 946 | 1
 947 | 1
 948 | 1
 949 | 1
 950 | 1
 951 | 1
 952 | 1
 953 | 1
 954 | 1
 955 | 1
 956 | 1
 957 | 2
 958 | 2
 959 | 2
 960 | 2
 961 | 2
 962 | 2
 963 | 2
 964 | 2
 965 | 2
 966 | 2
 967 | 2
 968 | 2
 969 | 2
 970 | 2
 971 | 2
 972 | 2
 973 | 3
 974 | 3
 975 | 3
 976 | 3
 977 | 2
 978 | 2
 979 | 2
 980 | 2
 981 | 2
 982 | 2
 983 | 2
 984 | 2
 985 | 2
 986 | 2
 987 | 2
 988 | 1
 989 | 1
 990 | 1
 991 | 1
 992 | 1
 993 | 1
 994 | 1
 995 | 1
 996 | 1
 997 | 1
 998 | 1
 999 | 1
1000 | 2
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x4.csv:
--------------------------------------------------------------------------------
   1 | 3
   2 | 3
   3 | 3
   4 | 2
   5 | 2
   6 | 2
   7 | 2
   8 | 2
   9 | 1
  10 | 1
  11 | 1
  12 | 2
  13 | 2
  14 | 1
  15 | 1
  16 | 1
  17 | 1
  18 | 1
  19 | 1
  20 | 1
  21 | 2
  22 | 2
  23 | 1
  24 | 1
  25 | 1
  26 | 1
  27 | 1
  28 | 1
  29 | 1
  30 | 2
  31 | 2
  32 | 2
  33 | 2
  34 | 2
  35 | 2
  36 | 2
  37 | 2
  38 | 2
  39 | 2
  40 | 2
  41 | 2
  42 | 2
  43 | 2
  44 | 2
  45 | 2
  46 | 2
  47 | 1
  48 | 1
  49 | 1
  50 | 1
  51 | 1
  52 | 1
  53 | 1
  54 | 1
  55 | 1
  56 | 1
  57 | 1
  58 | 1
  59 | 2
  60 | 2
  61 | 2
  62 | 3
  63 | 3
  64 | 3
  65 | 3
  66 | 3
  67 | 2
  68 | 2
  69 | 2
  70 | 2
  71 | 2
  72 | 2
  73 | 3
  74 | 3
  75 | 2
  76 | 3
  77 | 2
  78 | 2
  79 | 2
  80 | 2
  81 | 2
  82 | 2
  83 | 2
  84 | 1
  85 | 1
  86 | 2
  87 | 2
  88 | 2
  89 | 1
  90 | 2
  91 | 1
  92 | 1
  93 | 2
  94 | 2
  95 | 2
  96 | 2
  97 | 2
  98 | 3
  99 | 3
 100 | 2
 101 | 2
 102 | 2
 103 | 2
 104 | 2
 105 | 2
 106 | 2
 107 | 2
 108 | 3
 109 | 3
 110 | 3
 111 | 3
 112 | 2
 113 | 2
 114 | 2
 115 | 2
 116 | 2
 117 | 2
 118 | 2
 119 | 3
 120 | 3
 121 | 2
 122 | 2
 123 | 2
 124 | 1
 125 | 1
 126 | 1
 127 | 1
 128 | 1
 129 | 1
 130 | 2
 131 | 2
 132 | 2
 133 | 2
 134 | 2
 135 | 3
 136 | 3
 137 | 1
 138 | 2
 139 | 2
 140 | 2
 141 | 2
 142 | 2
 143 | 2
 144 | 2
 145 | 2
 146 | 2
 147 | 2
 148 | 3
 149 | 3
 150 | 1
 151 | 1
 152 | 1
 153 | 1
 154 | 1
 155 | 1
 156 | 1
 157 | 1
 158 | 1
 159 | 1
 160 | 1
 161 | 1
 162 | 1
 163 | 1
 164 | 1
 165 | 1
 166 | 1
 167 | 2
 168 | 2
 169 | 3
 170 | 3
 171 | 1
 172 | 1
 173 | 1
 174 | 2
 175 | 3
 176 | 3
 177 | 2
 178 | 2
 179 | 2
 180 | 2
 181 | 3
 182 | 3
 183 | 3
 184 | 3
 185 | 2
 186 | 3
 187 | 2
 188 | 2
 189 | 2
 190 | 2
 191 | 2
 192 | 1
 193 | 1
 194 | 1
 195 | 1
 196 | 1
 197 | 1
 198 | 2
 199 | 2
 200 | 2
 201 | 2
 202 | 2
 203 | 2
 204 | 2
 205 | 2
 206 | 2
 207 | 1
 208 | 1
 209 | 1
 210 | 1
 211 | 1
 212 | 1
 213 | 1
 214 | 1
 215 | 2
 216 | 3
 217 | 3
 218 | 3
 219 | 3
 220 | 3
 221 | 3
 222 | 3
 223 | 3
 224 | 3
 225 | 1
 226 | 1
 227 | 1
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 1
 235 | 1
 236 | 2
 237 | 1
 238 | 1
 239 | 2
 240 | 2
 241 | 1
 242 | 1
 243 | 1
 244 | 1
 245 | 1
 246 | 1
 247 | 2
 248 | 2
 249 | 1
 250 | 1
 251 | 1
 252 | 1
 253 | 1
 254 | 1
 255 | 1
 256 | 2
 257 | 2
 258 | 3
 259 | 3
 260 | 1
 261 | 2
 262 | 2
 263 | 1
 264 | 1
 265 | 1
 266 | 1
 267 | 2
 268 | 2
 269 | 2
 270 | 2
 271 | 2
 272 | 2
 273 | 2
 274 | 2
 275 | 3
 276 | 3
 277 | 3
 278 | 2
 279 | 2
 280 | 2
 281 | 1
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 2
 289 | 2
 290 | 2
 291 | 3
 292 | 3
 293 | 3
 294 | 3
 295 | 3
 296 | 3
 297 | 3
 298 | 3
 299 | 3
 300 | 2
 301 | 2
 302 | 2
 303 | 2
 304 | 2
 305 | 2
 306 | 1
 307 | 1
 308 | 1
 309 | 2
 310 | 2
 311 | 2
 312 | 3
 313 | 1
 314 | 1
 315 | 1
 316 | 1
 317 | 1
 318 | 1
 319 | 1
 320 | 1
 321 | 1
 322 | 1
 323 | 1
 324 | 1
 325 | 1
 326 | 2
 327 | 1
 328 | 2
 329 | 1
 330 | 1
 331 | 2
 332 | 2
 333 | 1
 334 | 2
 335 | 3
 336 | 3
 337 | 2
 338 | 2
 339 | 3
 340 | 1
 341 | 1
 342 | 1
 343 | 1
 344 | 1
 345 | 1
 346 | 1
 347 | 2
 348 | 2
 349 | 2
 350 | 3
 351 | 3
 352 | 3
 353 | 3
 354 | 3
 355 | 3
 356 | 3
 357 | 1
 358 | 1
 359 | 1
 360 | 1
 361 | 1
 362 | 1
 363 | 1
 364 | 1
 365 | 2
 366 | 2
 367 | 2
 368 | 1
 369 | 2
 370 | 1
 371 | 1
 372 | 1
 373 | 2
 374 | 2
 375 | 2
 376 | 2
 377 | 2
 378 | 3
 379 | 3
 380 | 2
 381 | 1
 382 | 2
 383 | 2
 384 | 2
 385 | 2
 386 | 2
 387 | 2
 388 | 2
 389 | 2
 390 | 2
 391 | 2
 392 | 3
 393 | 3
 394 | 2
 395 | 2
 396 | 3
 397 | 2
 398 | 2
 399 | 3
 400 | 3
 401 | 3
 402 | 3
 403 | 3
 404 | 3
 405 | 3
 406 | 3
 407 | 2
 408 | 2
 409 | 3
 410 | 3
 411 | 3
 412 | 3
 413 | 3
 414 | 2
 415 | 2
 416 | 2
 417 | 2
 418 | 2
 419 | 2
 420 | 3
 421 | 2
 422 | 2
 423 | 3
 424 | 2
 425 | 3
 426 | 1
 427 | 1
 428 | 1
 429 | 2
 430 | 2
 431 | 2
 432 | 1
 433 | 2
 434 | 2
 435 | 2
 436 | 3
 437 | 3
 438 | 3
 439 | 2
 440 | 2
 441 | 2
 442 | 1
 443 | 1
 444 | 1
 445 | 1
 446 | 1
 447 | 1
 448 | 1
 449 | 1
 450 | 1
 451 | 1
 452 | 1
 453 | 2
 454 | 2
 455 | 2
 456 | 1
 457 | 1
 458 | 1
 459 | 1
 460 | 1
 461 | 2
 462 | 2
 463 | 2
 464 | 2
 465 | 1
 466 | 2
 467 | 2
 468 | 2
 469 | 2
 470 | 2
 471 | 2
 472 | 2
 473 | 2
 474 | 1
 475 | 1
 476 | 2
 477 | 3
 478 | 3
 479 | 3
 480 | 3
 481 | 3
 482 | 3
 483 | 3
 484 | 3
 485 | 3
 486 | 2
 487 | 2
 488 | 1
 489 | 1
 490 | 1
 491 | 1
 492 | 1
 493 | 1
 494 | 1
 495 | 1
 496 | 1
 497 | 1
 498 | 1
 499 | 2
 500 | 2
 501 | 3
 502 | 2
 503 | 2
 504 | 2
 505 | 1
 506 | 1
 507 | 1
 508 | 1
 509 | 1
 510 | 1
 511 | 1
 512 | 1
 513 | 1
 514 | 2
 515 | 2
 516 | 3
 517 | 3
 518 | 1
 519 | 1
 520 | 1
 521 | 1
 522 | 1
 523 | 1
 524 | 1
 525 | 1
 526 | 1
 527 | 1
 528 | 1
 529 | 1
 530 | 1
 531 | 1
 532 | 1
 533 | 1
 534 | 1
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 1
 542 | 2
 543 | 2
 544 | 3
 545 | 3
 546 | 1
 547 | 1
 548 | 1
 549 | 1
 550 | 1
 551 | 1
 552 | 1
 553 | 1
 554 | 1
 555 | 1
 556 | 1
 557 | 1
 558 | 2
 559 | 2
 560 | 2
 561 | 2
 562 | 2
 563 | 2
 564 | 2
 565 | 2
 566 | 2
 567 | 3
 568 | 3
 569 | 3
 570 | 3
 571 | 3
 572 | 3
 573 | 2
 574 | 2
 575 | 2
 576 | 2
 577 | 2
 578 | 2
 579 | 2
 580 | 3
 581 | 3
 582 | 3
 583 | 2
 584 | 2
 585 | 2
 586 | 2
 587 | 2
 588 | 2
 589 | 2
 590 | 2
 591 | 2
 592 | 2
 593 | 2
 594 | 2
 595 | 2
 596 | 3
 597 | 3
 598 | 3
 599 | 2
 600 | 2
 601 | 1
 602 | 1
 603 | 1
 604 | 1
 605 | 1
 606 | 2
 607 | 3
 608 | 3
 609 | 2
 610 | 3
 611 | 3
 612 | 3
 613 | 3
 614 | 3
 615 | 3
 616 | 3
 617 | 1
 618 | 2
 619 | 3
 620 | 3
 621 | 1
 622 | 1
 623 | 2
 624 | 2
 625 | 2
 626 | 2
 627 | 2
 628 | 2
 629 | 2
 630 | 2
 631 | 2
 632 | 2
 633 | 2
 634 | 2
 635 | 2
 636 | 2
 637 | 1
 638 | 1
 639 | 1
 640 | 2
 641 | 2
 642 | 2
 643 | 2
 644 | 1
 645 | 1
 646 | 1
 647 | 1
 648 | 1
 649 | 1
 650 | 1
 651 | 1
 652 | 2
 653 | 2
 654 | 3
 655 | 3
 656 | 3
 657 | 3
 658 | 3
 659 | 3
 660 | 2
 661 | 2
 662 | 2
 663 | 2
 664 | 2
 665 | 2
 666 | 2
 667 | 2
 668 | 1
 669 | 1
 670 | 1
 671 | 2
 672 | 2
 673 | 1
 674 | 1
 675 | 1
 676 | 1
 677 | 1
 678 | 2
 679 | 1
 680 | 1
 681 | 1
 682 | 1
 683 | 2
 684 | 2
 685 | 2
 686 | 2
 687 | 2
 688 | 2
 689 | 2
 690 | 2
 691 | 2
 692 | 1
 693 | 1
 694 | 1
 695 | 1
 696 | 1
 697 | 2
 698 | 2
 699 | 2
 700 | 2
 701 | 2
 702 | 2
 703 | 1
 704 | 1
 705 | 2
 706 | 2
 707 | 1
 708 | 1
 709 | 1
 710 | 1
 711 | 2
 712 | 2
 713 | 2
 714 | 1
 715 | 1
 716 | 1
 717 | 1
 718 | 2
 719 | 2
 720 | 1
 721 | 1
 722 | 1
 723 | 1
 724 | 1
 725 | 1
 726 | 2
 727 | 2
 728 | 2
 729 | 2
 730 | 2
 731 | 1
 732 | 1
 733 | 2
 734 | 2
 735 | 2
 736 | 1
 737 | 1
 738 | 1
 739 | 2
 740 | 2
 741 | 2
 742 | 2
 743 | 3
 744 | 2
 745 | 2
 746 | 1
 747 | 1
 748 | 1
 749 | 1
 750 | 1
 751 | 2
 752 | 2
 753 | 1
 754 | 1
 755 | 1
 756 | 2
 757 | 2
 758 | 1
 759 | 1
 760 | 1
 761 | 1
 762 | 1
 763 | 1
 764 | 1
 765 | 1
 766 | 2
 767 | 2
 768 | 2
 769 | 2
 770 | 1
 771 | 2
 772 | 2
 773 | 2
 774 | 2
 775 | 2
 776 | 2
 777 | 1
 778 | 1
 779 | 1
 780 | 1
 781 | 1
 782 | 1
 783 | 1
 784 | 1
 785 | 1
 786 | 1
 787 | 1
 788 | 1
 789 | 1
 790 | 1
 791 | 1
 792 | 1
 793 | 2
 794 | 1
 795 | 1
 796 | 1
 797 | 1
 798 | 2
 799 | 2
 800 | 3
 801 | 2
 802 | 2
 803 | 2
 804 | 2
 805 | 3
 806 | 3
 807 | 2
 808 | 2
 809 | 2
 810 | 2
 811 | 3
 812 | 2
 813 | 2
 814 | 2
 815 | 2
 816 | 2
 817 | 2
 818 | 2
 819 | 2
 820 | 2
 821 | 2
 822 | 2
 823 | 1
 824 | 1
 825 | 1
 826 | 1
 827 | 1
 828 | 1
 829 | 1
 830 | 1
 831 | 1
 832 | 1
 833 | 1
 834 | 2
 835 | 2
 836 | 2
 837 | 2
 838 | 2
 839 | 2
 840 | 3
 841 | 3
 842 | 2
 843 | 2
 844 | 3
 845 | 2
 846 | 2
 847 | 2
 848 | 2
 849 | 2
 850 | 1
 851 | 1
 852 | 1
 853 | 1
 854 | 1
 855 | 1
 856 | 1
 857 | 1
 858 | 2
 859 | 2
 860 | 2
 861 | 2
 862 | 2
 863 | 2
 864 | 2
 865 | 3
 866 | 3
 867 | 3
 868 | 1
 869 | 1
 870 | 2
 871 | 2
 872 | 2
 873 | 2
 874 | 2
 875 | 2
 876 | 1
 877 | 1
 878 | 1
 879 | 2
 880 | 1
 881 | 2
 882 | 2
 883 | 2
 884 | 1
 885 | 2
 886 | 1
 887 | 1
 888 | 2
 889 | 2
 890 | 2
 891 | 2
 892 | 2
 893 | 2
 894 | 2
 895 | 2
 896 | 2
 897 | 2
 898 | 2
 899 | 2
 900 | 2
 901 | 2
 902 | 2
 903 | 2
 904 | 2
 905 | 2
 906 | 3
 907 | 3
 908 | 3
 909 | 3
 910 | 3
 911 | 2
 912 | 1
 913 | 1
 914 | 1
 915 | 1
 916 | 2
 917 | 3
 918 | 3
 919 | 3
 920 | 2
 921 | 2
 922 | 1
 923 | 1
 924 | 1
 925 | 1
 926 | 1
 927 | 1
 928 | 1
 929 | 1
 930 | 2
 931 | 2
 932 | 2
 933 | 3
 934 | 3
 935 | 2
 936 | 2
 937 | 1
 938 | 2
 939 | 2
 940 | 2
 941 | 2
 942 | 2
 943 | 2
 944 | 2
 945 | 1
 946 | 1
 947 | 2
 948 | 2
 949 | 2
 950 | 2
 951 | 2
 952 | 2
 953 | 2
 954 | 2
 955 | 2
 956 | 2
 957 | 2
 958 | 2
 959 | 2
 960 | 2
 961 | 1
 962 | 1
 963 | 1
 964 | 1
 965 | 1
 966 | 2
 967 | 1
 968 | 1
 969 | 1
 970 | 1
 971 | 1
 972 | 1
 973 | 1
 974 | 1
 975 | 1
 976 | 1
 977 | 1
 978 | 1
 979 | 1
 980 | 1
 981 | 1
 982 | 1
 983 | 2
 984 | 2
 985 | 2
 986 | 2
 987 | 2
 988 | 1
 989 | 1
 990 | 2
 991 | 2
 992 | 2
 993 | 3
 994 | 3
 995 | 3
 996 | 3
 997 | 3
 998 | 3
 999 | 1
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x5.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 2
   3 | 2
   4 | 2
   5 | 2
   6 | 2
   7 | 1
   8 | 1
   9 | 1
  10 | 2
  11 | 2
  12 | 2
  13 | 2
  14 | 2
  15 | 2
  16 | 2
  17 | 2
  18 | 2
  19 | 2
  20 | 2
  21 | 2
  22 | 2
  23 | 2
  24 | 2
  25 | 2
  26 | 2
  27 | 2
  28 | 2
  29 | 1
  30 | 1
  31 | 1
  32 | 1
  33 | 1
  34 | 1
  35 | 2
  36 | 2
  37 | 2
  38 | 2
  39 | 2
  40 | 2
  41 | 2
  42 | 2
  43 | 2
  44 | 2
  45 | 2
  46 | 2
  47 | 2
  48 | 2
  49 | 2
  50 | 3
  51 | 3
  52 | 3
  53 | 3
  54 | 3
  55 | 3
  56 | 1
  57 | 2
  58 | 3
  59 | 3
  60 | 3
  61 | 2
  62 | 2
  63 | 2
  64 | 2
  65 | 2
  66 | 2
  67 | 1
  68 | 1
  69 | 1
  70 | 1
  71 | 1
  72 | 1
  73 | 1
  74 | 1
  75 | 1
  76 | 1
  77 | 1
  78 | 1
  79 | 1
  80 | 1
  81 | 2
  82 | 2
  83 | 2
  84 | 2
  85 | 2
  86 | 2
  87 | 2
  88 | 2
  89 | 2
  90 | 2
  91 | 2
  92 | 2
  93 | 2
  94 | 2
  95 | 2
  96 | 2
  97 | 2
  98 | 2
  99 | 2
 100 | 2
 101 | 2
 102 | 3
 103 | 2
 104 | 2
 105 | 1
 106 | 1
 107 | 1
 108 | 1
 109 | 1
 110 | 1
 111 | 1
 112 | 1
 113 | 1
 114 | 1
 115 | 1
 116 | 2
 117 | 1
 118 | 2
 119 | 1
 120 | 2
 121 | 2
 122 | 2
 123 | 2
 124 | 2
 125 | 2
 126 | 2
 127 | 1
 128 | 2
 129 | 2
 130 | 2
 131 | 2
 132 | 2
 133 | 1
 134 | 1
 135 | 1
 136 | 2
 137 | 1
 138 | 2
 139 | 1
 140 | 1
 141 | 2
 142 | 2
 143 | 1
 144 | 1
 145 | 2
 146 | 2
 147 | 3
 148 | 2
 149 | 2
 150 | 2
 151 | 1
 152 | 2
 153 | 2
 154 | 2
 155 | 2
 156 | 2
 157 | 2
 158 | 2
 159 | 2
 160 | 2
 161 | 2
 162 | 1
 163 | 1
 164 | 1
 165 | 1
 166 | 1
 167 | 1
 168 | 1
 169 | 1
 170 | 1
 171 | 1
 172 | 1
 173 | 1
 174 | 2
 175 | 1
 176 | 2
 177 | 2
 178 | 1
 179 | 1
 180 | 1
 181 | 1
 182 | 1
 183 | 1
 184 | 1
 185 | 1
 186 | 1
 187 | 1
 188 | 1
 189 | 1
 190 | 1
 191 | 1
 192 | 1
 193 | 1
 194 | 1
 195 | 2
 196 | 2
 197 | 2
 198 | 2
 199 | 2
 200 | 2
 201 | 2
 202 | 1
 203 | 2
 204 | 2
 205 | 3
 206 | 3
 207 | 3
 208 | 2
 209 | 2
 210 | 2
 211 | 2
 212 | 2
 213 | 1
 214 | 1
 215 | 1
 216 | 1
 217 | 1
 218 | 1
 219 | 1
 220 | 1
 221 | 1
 222 | 1
 223 | 2
 224 | 1
 225 | 1
 226 | 1
 227 | 2
 228 | 2
 229 | 2
 230 | 2
 231 | 1
 232 | 1
 233 | 1
 234 | 1
 235 | 1
 236 | 1
 237 | 1
 238 | 1
 239 | 1
 240 | 1
 241 | 1
 242 | 1
 243 | 1
 244 | 1
 245 | 1
 246 | 1
 247 | 1
 248 | 1
 249 | 2
 250 | 2
 251 | 2
 252 | 2
 253 | 2
 254 | 2
 255 | 2
 256 | 2
 257 | 2
 258 | 1
 259 | 2
 260 | 2
 261 | 3
 262 | 1
 263 | 1
 264 | 1
 265 | 1
 266 | 2
 267 | 2
 268 | 2
 269 | 1
 270 | 2
 271 | 2
 272 | 2
 273 | 2
 274 | 2
 275 | 2
 276 | 2
 277 | 2
 278 | 1
 279 | 1
 280 | 1
 281 | 1
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 2
 287 | 2
 288 | 2
 289 | 2
 290 | 2
 291 | 2
 292 | 2
 293 | 2
 294 | 2
 295 | 2
 296 | 1
 297 | 1
 298 | 1
 299 | 1
 300 | 2
 301 | 1
 302 | 1
 303 | 1
 304 | 1
 305 | 1
 306 | 1
 307 | 1
 308 | 1
 309 | 2
 310 | 2
 311 | 2
 312 | 2
 313 | 2
 314 | 2
 315 | 2
 316 | 2
 317 | 2
 318 | 2
 319 | 2
 320 | 2
 321 | 1
 322 | 1
 323 | 1
 324 | 2
 325 | 2
 326 | 2
 327 | 2
 328 | 2
 329 | 2
 330 | 3
 331 | 3
 332 | 2
 333 | 2
 334 | 2
 335 | 2
 336 | 3
 337 | 3
 338 | 3
 339 | 3
 340 | 3
 341 | 3
 342 | 2
 343 | 2
 344 | 2
 345 | 2
 346 | 2
 347 | 2
 348 | 3
 349 | 3
 350 | 3
 351 | 3
 352 | 3
 353 | 3
 354 | 3
 355 | 3
 356 | 3
 357 | 3
 358 | 3
 359 | 3
 360 | 3
 361 | 3
 362 | 3
 363 | 3
 364 | 3
 365 | 3
 366 | 3
 367 | 2
 368 | 1
 369 | 1
 370 | 1
 371 | 1
 372 | 2
 373 | 2
 374 | 2
 375 | 2
 376 | 2
 377 | 2
 378 | 1
 379 | 1
 380 | 1
 381 | 2
 382 | 2
 383 | 2
 384 | 1
 385 | 1
 386 | 1
 387 | 1
 388 | 1
 389 | 1
 390 | 1
 391 | 1
 392 | 1
 393 | 1
 394 | 1
 395 | 1
 396 | 1
 397 | 2
 398 | 2
 399 | 3
 400 | 1
 401 | 1
 402 | 2
 403 | 2
 404 | 2
 405 | 2
 406 | 3
 407 | 3
 408 | 2
 409 | 1
 410 | 2
 411 | 2
 412 | 2
 413 | 2
 414 | 2
 415 | 2
 416 | 2
 417 | 2
 418 | 2
 419 | 1
 420 | 2
 421 | 2
 422 | 2
 423 | 2
 424 | 2
 425 | 3
 426 | 3
 427 | 2
 428 | 3
 429 | 3
 430 | 2
 431 | 2
 432 | 2
 433 | 2
 434 | 2
 435 | 1
 436 | 1
 437 | 1
 438 | 2
 439 | 2
 440 | 2
 441 | 2
 442 | 2
 443 | 2
 444 | 2
 445 | 2
 446 | 1
 447 | 1
 448 | 1
 449 | 1
 450 | 2
 451 | 1
 452 | 2
 453 | 2
 454 | 2
 455 | 2
 456 | 2
 457 | 2
 458 | 1
 459 | 1
 460 | 2
 461 | 2
 462 | 2
 463 | 2
 464 | 2
 465 | 3
 466 | 3
 467 | 2
 468 | 2
 469 | 2
 470 | 2
 471 | 3
 472 | 3
 473 | 3
 474 | 3
 475 | 2
 476 | 2
 477 | 2
 478 | 2
 479 | 1
 480 | 2
 481 | 3
 482 | 3
 483 | 3
 484 | 3
 485 | 3
 486 | 3
 487 | 3
 488 | 1
 489 | 1
 490 | 1
 491 | 1
 492 | 2
 493 | 2
 494 | 2
 495 | 2
 496 | 2
 497 | 2
 498 | 2
 499 | 2
 500 | 3
 501 | 2
 502 | 2
 503 | 2
 504 | 2
 505 | 3
 506 | 3
 507 | 3
 508 | 3
 509 | 3
 510 | 3
 511 | 3
 512 | 3
 513 | 1
 514 | 1
 515 | 1
 516 | 1
 517 | 1
 518 | 2
 519 | 1
 520 | 1
 521 | 1
 522 | 1
 523 | 1
 524 | 1
 525 | 1
 526 | 1
 527 | 1
 528 | 1
 529 | 1
 530 | 1
 531 | 1
 532 | 1
 533 | 2
 534 | 2
 535 | 2
 536 | 2
 537 | 2
 538 | 2
 539 | 2
 540 | 2
 541 | 2
 542 | 2
 543 | 2
 544 | 1
 545 | 1
 546 | 2
 547 | 1
 548 | 1
 549 | 1
 550 | 1
 551 | 1
 552 | 1
 553 | 1
 554 | 1
 555 | 2
 556 | 2
 557 | 2
 558 | 2
 559 | 2
 560 | 2
 561 | 2
 562 | 2
 563 | 2
 564 | 2
 565 | 2
 566 | 2
 567 | 2
 568 | 2
 569 | 3
 570 | 2
 571 | 2
 572 | 2
 573 | 2
 574 | 2
 575 | 2
 576 | 3
 577 | 3
 578 | 1
 579 | 1
 580 | 1
 581 | 1
 582 | 1
 583 | 1
 584 | 1
 585 | 1
 586 | 1
 587 | 1
 588 | 1
 589 | 2
 590 | 2
 591 | 2
 592 | 2
 593 | 2
 594 | 2
 595 | 2
 596 | 2
 597 | 2
 598 | 2
 599 | 2
 600 | 2
 601 | 2
 602 | 1
 603 | 1
 604 | 1
 605 | 1
 606 | 1
 607 | 1
 608 | 1
 609 | 2
 610 | 2
 611 | 1
 612 | 1
 613 | 1
 614 | 1
 615 | 1
 616 | 2
 617 | 3
 618 | 1
 619 | 1
 620 | 1
 621 | 1
 622 | 1
 623 | 1
 624 | 2
 625 | 2
 626 | 2
 627 | 2
 628 | 1
 629 | 1
 630 | 1
 631 | 2
 632 | 3
 633 | 3
 634 | 3
 635 | 3
 636 | 3
 637 | 3
 638 | 2
 639 | 2
 640 | 2
 641 | 2
 642 | 1
 643 | 1
 644 | 1
 645 | 1
 646 | 1
 647 | 2
 648 | 2
 649 | 2
 650 | 2
 651 | 2
 652 | 2
 653 | 2
 654 | 2
 655 | 2
 656 | 2
 657 | 2
 658 | 2
 659 | 2
 660 | 3
 661 | 2
 662 | 2
 663 | 2
 664 | 1
 665 | 1
 666 | 1
 667 | 1
 668 | 1
 669 | 1
 670 | 1
 671 | 1
 672 | 2
 673 | 3
 674 | 3
 675 | 2
 676 | 1
 677 | 1
 678 | 1
 679 | 1
 680 | 1
 681 | 1
 682 | 1
 683 | 1
 684 | 2
 685 | 3
 686 | 2
 687 | 3
 688 | 3
 689 | 3
 690 | 2
 691 | 1
 692 | 1
 693 | 2
 694 | 2
 695 | 2
 696 | 2
 697 | 3
 698 | 3
 699 | 3
 700 | 3
 701 | 3
 702 | 3
 703 | 1
 704 | 2
 705 | 2
 706 | 2
 707 | 2
 708 | 1
 709 | 1
 710 | 2
 711 | 2
 712 | 2
 713 | 2
 714 | 2
 715 | 2
 716 | 1
 717 | 1
 718 | 1
 719 | 1
 720 | 2
 721 | 2
 722 | 3
 723 | 1
 724 | 1
 725 | 1
 726 | 1
 727 | 1
 728 | 1
 729 | 2
 730 | 2
 731 | 2
 732 | 2
 733 | 2
 734 | 2
 735 | 2
 736 | 2
 737 | 2
 738 | 3
 739 | 3
 740 | 3
 741 | 3
 742 | 3
 743 | 3
 744 | 3
 745 | 3
 746 | 3
 747 | 3
 748 | 3
 749 | 2
 750 | 2
 751 | 2
 752 | 2
 753 | 2
 754 | 2
 755 | 1
 756 | 1
 757 | 2
 758 | 2
 759 | 2
 760 | 2
 761 | 2
 762 | 2
 763 | 1
 764 | 1
 765 | 1
 766 | 1
 767 | 1
 768 | 1
 769 | 1
 770 | 1
 771 | 1
 772 | 2
 773 | 2
 774 | 2
 775 | 2
 776 | 2
 777 | 2
 778 | 1
 779 | 1
 780 | 1
 781 | 2
 782 | 2
 783 | 2
 784 | 2
 785 | 2
 786 | 2
 787 | 2
 788 | 3
 789 | 3
 790 | 3
 791 | 3
 792 | 3
 793 | 1
 794 | 1
 795 | 1
 796 | 1
 797 | 1
 798 | 1
 799 | 1
 800 | 1
 801 | 1
 802 | 1
 803 | 1
 804 | 1
 805 | 1
 806 | 1
 807 | 1
 808 | 2
 809 | 3
 810 | 3
 811 | 3
 812 | 3
 813 | 2
 814 | 2
 815 | 2
 816 | 2
 817 | 2
 818 | 2
 819 | 2
 820 | 2
 821 | 2
 822 | 2
 823 | 2
 824 | 1
 825 | 2
 826 | 2
 827 | 2
 828 | 3
 829 | 3
 830 | 3
 831 | 3
 832 | 2
 833 | 1
 834 | 1
 835 | 1
 836 | 1
 837 | 1
 838 | 1
 839 | 1
 840 | 1
 841 | 1
 842 | 1
 843 | 1
 844 | 1
 845 | 1
 846 | 1
 847 | 1
 848 | 1
 849 | 1
 850 | 1
 851 | 1
 852 | 1
 853 | 2
 854 | 2
 855 | 3
 856 | 3
 857 | 3
 858 | 3
 859 | 3
 860 | 3
 861 | 2
 862 | 2
 863 | 2
 864 | 1
 865 | 1
 866 | 1
 867 | 1
 868 | 1
 869 | 1
 870 | 2
 871 | 2
 872 | 2
 873 | 2
 874 | 2
 875 | 1
 876 | 2
 877 | 1
 878 | 1
 879 | 2
 880 | 2
 881 | 2
 882 | 2
 883 | 2
 884 | 3
 885 | 2
 886 | 2
 887 | 1
 888 | 1
 889 | 1
 890 | 2
 891 | 2
 892 | 2
 893 | 2
 894 | 1
 895 | 2
 896 | 2
 897 | 2
 898 | 1
 899 | 1
 900 | 1
 901 | 1
 902 | 1
 903 | 1
 904 | 1
 905 | 1
 906 | 1
 907 | 1
 908 | 1
 909 | 1
 910 | 1
 911 | 2
 912 | 2
 913 | 2
 914 | 2
 915 | 1
 916 | 2
 917 | 2
 918 | 2
 919 | 2
 920 | 2
 921 | 2
 922 | 2
 923 | 2
 924 | 1
 925 | 1
 926 | 1
 927 | 1
 928 | 2
 929 | 2
 930 | 2
 931 | 2
 932 | 2
 933 | 2
 934 | 1
 935 | 1
 936 | 2
 937 | 2
 938 | 2
 939 | 1
 940 | 1
 941 | 2
 942 | 2
 943 | 2
 944 | 2
 945 | 2
 946 | 2
 947 | 3
 948 | 2
 949 | 2
 950 | 2
 951 | 2
 952 | 2
 953 | 1
 954 | 1
 955 | 1
 956 | 1
 957 | 1
 958 | 2
 959 | 2
 960 | 1
 961 | 1
 962 | 1
 963 | 2
 964 | 2
 965 | 2
 966 | 1
 967 | 1
 968 | 1
 969 | 1
 970 | 1
 971 | 1
 972 | 1
 973 | 2
 974 | 2
 975 | 2
 976 | 1
 977 | 2
 978 | 1
 979 | 2
 980 | 1
 981 | 1
 982 | 1
 983 | 1
 984 | 1
 985 | 2
 986 | 2
 987 | 2
 988 | 2
 989 | 2
 990 | 2
 991 | 2
 992 | 2
 993 | 2
 994 | 2
 995 | 2
 996 | 2
 997 | 1
 998 | 1
 999 | 2
1000 | 3
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x6.csv:
--------------------------------------------------------------------------------
   1 | 1
   2 | 2
   3 | 1
   4 | 1
   5 | 1
   6 | 1
   7 | 1
   8 | 2
   9 | 2
  10 | 2
  11 | 2
  12 | 3
  13 | 2
  14 | 2
  15 | 2
  16 | 1
  17 | 1
  18 | 1
  19 | 1
  20 | 2
  21 | 2
  22 | 2
  23 | 2
  24 | 2
  25 | 1
  26 | 2
  27 | 2
  28 | 2
  29 | 3
  30 | 3
  31 | 3
  32 | 3
  33 | 3
  34 | 3
  35 | 3
  36 | 3
  37 | 3
  38 | 3
  39 | 3
  40 | 1
  41 | 1
  42 | 1
  43 | 2
  44 | 2
  45 | 2
  46 | 2
  47 | 2
  48 | 2
  49 | 2
  50 | 3
  51 | 2
  52 | 2
  53 | 1
  54 | 1
  55 | 1
  56 | 2
  57 | 1
  58 | 1
  59 | 1
  60 | 1
  61 | 2
  62 | 1
  63 | 2
  64 | 2
  65 | 2
  66 | 2
  67 | 2
  68 | 2
  69 | 2
  70 | 2
  71 | 2
  72 | 3
  73 | 2
  74 | 3
  75 | 2
  76 | 2
  77 | 2
  78 | 1
  79 | 1
  80 | 2
  81 | 2
  82 | 2
  83 | 2
  84 | 3
  85 | 2
  86 | 1
  87 | 1
  88 | 1
  89 | 2
  90 | 2
  91 | 2
  92 | 2
  93 | 2
  94 | 3
  95 | 3
  96 | 3
  97 | 3
  98 | 2
  99 | 2
 100 | 2
 101 | 2
 102 | 2
 103 | 2
 104 | 2
 105 | 2
 106 | 2
 107 | 2
 108 | 1
 109 | 1
 110 | 1
 111 | 2
 112 | 2
 113 | 2
 114 | 2
 115 | 3
 116 | 3
 117 | 3
 118 | 3
 119 | 2
 120 | 2
 121 | 3
 122 | 3
 123 | 3
 124 | 3
 125 | 2
 126 | 3
 127 | 2
 128 | 2
 129 | 2
 130 | 2
 131 | 2
 132 | 2
 133 | 1
 134 | 1
 135 | 1
 136 | 1
 137 | 2
 138 | 2
 139 | 3
 140 | 3
 141 | 3
 142 | 2
 143 | 2
 144 | 2
 145 | 1
 146 | 1
 147 | 1
 148 | 1
 149 | 2
 150 | 2
 151 | 2
 152 | 2
 153 | 3
 154 | 3
 155 | 3
 156 | 3
 157 | 3
 158 | 2
 159 | 2
 160 | 3
 161 | 2
 162 | 2
 163 | 2
 164 | 2
 165 | 2
 166 | 2
 167 | 2
 168 | 2
 169 | 2
 170 | 2
 171 | 1
 172 | 2
 173 | 1
 174 | 1
 175 | 1
 176 | 1
 177 | 1
 178 | 1
 179 | 2
 180 | 2
 181 | 2
 182 | 2
 183 | 2
 184 | 2
 185 | 2
 186 | 2
 187 | 2
 188 | 2
 189 | 2
 190 | 2
 191 | 1
 192 | 1
 193 | 1
 194 | 1
 195 | 1
 196 | 1
 197 | 1
 198 | 1
 199 | 1
 200 | 1
 201 | 1
 202 | 2
 203 | 1
 204 | 1
 205 | 2
 206 | 1
 207 | 1
 208 | 1
 209 | 2
 210 | 2
 211 | 2
 212 | 3
 213 | 3
 214 | 1
 215 | 1
 216 | 2
 217 | 2
 218 | 2
 219 | 2
 220 | 2
 221 | 2
 222 | 2
 223 | 2
 224 | 2
 225 | 2
 226 | 2
 227 | 2
 228 | 1
 229 | 1
 230 | 1
 231 | 1
 232 | 2
 233 | 2
 234 | 2
 235 | 2
 236 | 3
 237 | 3
 238 | 3
 239 | 3
 240 | 1
 241 | 1
 242 | 1
 243 | 2
 244 | 2
 245 | 3
 246 | 3
 247 | 3
 248 | 3
 249 | 3
 250 | 3
 251 | 3
 252 | 3
 253 | 3
 254 | 2
 255 | 2
 256 | 3
 257 | 3
 258 | 3
 259 | 2
 260 | 2
 261 | 1
 262 | 1
 263 | 2
 264 | 2
 265 | 2
 266 | 2
 267 | 2
 268 | 2
 269 | 2
 270 | 2
 271 | 2
 272 | 2
 273 | 3
 274 | 3
 275 | 3
 276 | 3
 277 | 3
 278 | 2
 279 | 2
 280 | 2
 281 | 1
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 2
 292 | 2
 293 | 2
 294 | 2
 295 | 2
 296 | 2
 297 | 2
 298 | 2
 299 | 1
 300 | 1
 301 | 1
 302 | 1
 303 | 1
 304 | 1
 305 | 1
 306 | 2
 307 | 2
 308 | 1
 309 | 2
 310 | 2
 311 | 3
 312 | 3
 313 | 3
 314 | 3
 315 | 3
 316 | 3
 317 | 3
 318 | 1
 319 | 1
 320 | 1
 321 | 1
 322 | 1
 323 | 1
 324 | 1
 325 | 1
 326 | 1
 327 | 1
 328 | 1
 329 | 1
 330 | 1
 331 | 2
 332 | 2
 333 | 2
 334 | 2
 335 | 2
 336 | 3
 337 | 2
 338 | 2
 339 | 1
 340 | 2
 341 | 2
 342 | 2
 343 | 1
 344 | 2
 345 | 2
 346 | 2
 347 | 3
 348 | 3
 349 | 1
 350 | 1
 351 | 1
 352 | 2
 353 | 1
 354 | 1
 355 | 1
 356 | 1
 357 | 1
 358 | 2
 359 | 3
 360 | 2
 361 | 2
 362 | 2
 363 | 2
 364 | 2
 365 | 3
 366 | 2
 367 | 3
 368 | 2
 369 | 2
 370 | 2
 371 | 2
 372 | 2
 373 | 2
 374 | 2
 375 | 2
 376 | 2
 377 | 2
 378 | 2
 379 | 2
 380 | 2
 381 | 2
 382 | 1
 383 | 1
 384 | 1
 385 | 1
 386 | 1
 387 | 1
 388 | 1
 389 | 1
 390 | 1
 391 | 1
 392 | 1
 393 | 1
 394 | 2
 395 | 2
 396 | 3
 397 | 2
 398 | 2
 399 | 1
 400 | 1
 401 | 2
 402 | 2
 403 | 1
 404 | 2
 405 | 2
 406 | 3
 407 | 3
 408 | 3
 409 | 2
 410 | 1
 411 | 1
 412 | 1
 413 | 1
 414 | 1
 415 | 1
 416 | 1
 417 | 2
 418 | 3
 419 | 2
 420 | 2
 421 | 2
 422 | 2
 423 | 1
 424 | 1
 425 | 1
 426 | 1
 427 | 1
 428 | 2
 429 | 3
 430 | 3
 431 | 3
 432 | 1
 433 | 1
 434 | 1
 435 | 1
 436 | 1
 437 | 1
 438 | 1
 439 | 1
 440 | 1
 441 | 1
 442 | 1
 443 | 2
 444 | 2
 445 | 2
 446 | 2
 447 | 2
 448 | 2
 449 | 2
 450 | 1
 451 | 2
 452 | 2
 453 | 2
 454 | 1
 455 | 1
 456 | 1
 457 | 2
 458 | 3
 459 | 2
 460 | 1
 461 | 2
 462 | 2
 463 | 2
 464 | 2
 465 | 2
 466 | 2
 467 | 2
 468 | 2
 469 | 2
 470 | 3
 471 | 2
 472 | 2
 473 | 2
 474 | 2
 475 | 1
 476 | 1
 477 | 1
 478 | 1
 479 | 1
 480 | 1
 481 | 2
 482 | 2
 483 | 2
 484 | 2
 485 | 2
 486 | 1
 487 | 1
 488 | 1
 489 | 1
 490 | 2
 491 | 2
 492 | 2
 493 | 3
 494 | 3
 495 | 1
 496 | 1
 497 | 1
 498 | 1
 499 | 1
 500 | 1
 501 | 1
 502 | 1
 503 | 2
 504 | 2
 505 | 1
 506 | 1
 507 | 1
 508 | 2
 509 | 3
 510 | 3
 511 | 3
 512 | 2
 513 | 2
 514 | 2
 515 | 2
 516 | 2
 517 | 2
 518 | 2
 519 | 2
 520 | 2
 521 | 2
 522 | 2
 523 | 2
 524 | 3
 525 | 2
 526 | 2
 527 | 2
 528 | 2
 529 | 3
 530 | 3
 531 | 1
 532 | 2
 533 | 2
 534 | 1
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 1
 542 | 1
 543 | 1
 544 | 2
 545 | 2
 546 | 2
 547 | 1
 548 | 1
 549 | 1
 550 | 1
 551 | 1
 552 | 1
 553 | 1
 554 | 2
 555 | 1
 556 | 1
 557 | 1
 558 | 1
 559 | 1
 560 | 1
 561 | 1
 562 | 1
 563 | 1
 564 | 1
 565 | 1
 566 | 1
 567 | 1
 568 | 1
 569 | 1
 570 | 1
 571 | 1
 572 | 1
 573 | 1
 574 | 1
 575 | 1
 576 | 1
 577 | 1
 578 | 1
 579 | 2
 580 | 2
 581 | 2
 582 | 2
 583 | 2
 584 | 2
 585 | 2
 586 | 1
 587 | 1
 588 | 1
 589 | 1
 590 | 1
 591 | 1
 592 | 1
 593 | 1
 594 | 1
 595 | 1
 596 | 1
 597 | 1
 598 | 1
 599 | 1
 600 | 1
 601 | 1
 602 | 1
 603 | 1
 604 | 1
 605 | 1
 606 | 1
 607 | 1
 608 | 1
 609 | 1
 610 | 1
 611 | 2
 612 | 2
 613 | 2
 614 | 3
 615 | 2
 616 | 2
 617 | 2
 618 | 2
 619 | 2
 620 | 2
 621 | 2
 622 | 1
 623 | 1
 624 | 1
 625 | 2
 626 | 2
 627 | 3
 628 | 3
 629 | 3
 630 | 1
 631 | 1
 632 | 1
 633 | 2
 634 | 2
 635 | 2
 636 | 2
 637 | 2
 638 | 2
 639 | 3
 640 | 2
 641 | 2
 642 | 2
 643 | 3
 644 | 2
 645 | 2
 646 | 2
 647 | 2
 648 | 1
 649 | 1
 650 | 1
 651 | 1
 652 | 1
 653 | 2
 654 | 3
 655 | 3
 656 | 3
 657 | 3
 658 | 3
 659 | 3
 660 | 1
 661 | 2
 662 | 2
 663 | 2
 664 | 2
 665 | 2
 666 | 2
 667 | 2
 668 | 2
 669 | 2
 670 | 2
 671 | 2
 672 | 2
 673 | 2
 674 | 2
 675 | 2
 676 | 1
 677 | 1
 678 | 1
 679 | 2
 680 | 3
 681 | 3
 682 | 2
 683 | 2
 684 | 2
 685 | 2
 686 | 2
 687 | 3
 688 | 3
 689 | 1
 690 | 2
 691 | 2
 692 | 2
 693 | 1
 694 | 1
 695 | 2
 696 | 1
 697 | 1
 698 | 1
 699 | 1
 700 | 1
 701 | 1
 702 | 1
 703 | 1
 704 | 1
 705 | 1
 706 | 1
 707 | 1
 708 | 1
 709 | 1
 710 | 1
 711 | 1
 712 | 1
 713 | 1
 714 | 1
 715 | 1
 716 | 2
 717 | 2
 718 | 2
 719 | 1
 720 | 2
 721 | 1
 722 | 1
 723 | 1
 724 | 1
 725 | 1
 726 | 1
 727 | 1
 728 | 1
 729 | 1
 730 | 2
 731 | 2
 732 | 2
 733 | 3
 734 | 3
 735 | 3
 736 | 2
 737 | 2
 738 | 2
 739 | 1
 740 | 2
 741 | 2
 742 | 2
 743 | 2
 744 | 2
 745 | 2
 746 | 1
 747 | 2
 748 | 2
 749 | 2
 750 | 2
 751 | 1
 752 | 1
 753 | 1
 754 | 1
 755 | 1
 756 | 2
 757 | 2
 758 | 2
 759 | 2
 760 | 2
 761 | 2
 762 | 2
 763 | 2
 764 | 2
 765 | 2
 766 | 2
 767 | 3
 768 | 3
 769 | 3
 770 | 2
 771 | 2
 772 | 2
 773 | 2
 774 | 2
 775 | 2
 776 | 2
 777 | 2
 778 | 2
 779 | 2
 780 | 2
 781 | 1
 782 | 2
 783 | 3
 784 | 1
 785 | 1
 786 | 1
 787 | 1
 788 | 1
 789 | 1
 790 | 1
 791 | 1
 792 | 2
 793 | 1
 794 | 1
 795 | 1
 796 | 1
 797 | 1
 798 | 1
 799 | 1
 800 | 1
 801 | 1
 802 | 1
 803 | 1
 804 | 1
 805 | 1
 806 | 1
 807 | 1
 808 | 1
 809 | 1
 810 | 1
 811 | 1
 812 | 1
 813 | 1
 814 | 1
 815 | 1
 816 | 2
 817 | 2
 818 | 2
 819 | 2
 820 | 2
 821 | 2
 822 | 1
 823 | 1
 824 | 1
 825 | 1
 826 | 2
 827 | 2
 828 | 2
 829 | 1
 830 | 2
 831 | 2
 832 | 2
 833 | 2
 834 | 2
 835 | 2
 836 | 2
 837 | 1
 838 | 1
 839 | 1
 840 | 1
 841 | 1
 842 | 1
 843 | 2
 844 | 2
 845 | 2
 846 | 3
 847 | 3
 848 | 2
 849 | 2
 850 | 3
 851 | 3
 852 | 2
 853 | 2
 854 | 2
 855 | 2
 856 | 2
 857 | 3
 858 | 2
 859 | 2
 860 | 1
 861 | 1
 862 | 1
 863 | 1
 864 | 1
 865 | 1
 866 | 1
 867 | 1
 868 | 1
 869 | 1
 870 | 1
 871 | 2
 872 | 2
 873 | 2
 874 | 2
 875 | 2
 876 | 2
 877 | 2
 878 | 2
 879 | 3
 880 | 3
 881 | 3
 882 | 3
 883 | 2
 884 | 2
 885 | 2
 886 | 2
 887 | 1
 888 | 1
 889 | 1
 890 | 1
 891 | 1
 892 | 1
 893 | 1
 894 | 1
 895 | 2
 896 | 3
 897 | 2
 898 | 2
 899 | 2
 900 | 1
 901 | 1
 902 | 1
 903 | 1
 904 | 2
 905 | 2
 906 | 2
 907 | 2
 908 | 2
 909 | 1
 910 | 1
 911 | 1
 912 | 1
 913 | 2
 914 | 3
 915 | 3
 916 | 3
 917 | 3
 918 | 1
 919 | 1
 920 | 1
 921 | 2
 922 | 2
 923 | 1
 924 | 1
 925 | 1
 926 | 1
 927 | 2
 928 | 2
 929 | 2
 930 | 1
 931 | 1
 932 | 1
 933 | 2
 934 | 2
 935 | 2
 936 | 2
 937 | 1
 938 | 1
 939 | 1
 940 | 1
 941 | 1
 942 | 1
 943 | 1
 944 | 2
 945 | 2
 946 | 2
 947 | 1
 948 | 1
 949 | 1
 950 | 1
 951 | 1
 952 | 1
 953 | 1
 954 | 1
 955 | 1
 956 | 1
 957 | 2
 958 | 2
 959 | 2
 960 | 2
 961 | 1
 962 | 2
 963 | 2
 964 | 2
 965 | 1
 966 | 1
 967 | 1
 968 | 1
 969 | 2
 970 | 2
 971 | 2
 972 | 3
 973 | 3
 974 | 3
 975 | 3
 976 | 1
 977 | 1
 978 | 1
 979 | 1
 980 | 1
 981 | 2
 982 | 2
 983 | 2
 984 | 1
 985 | 2
 986 | 2
 987 | 2
 988 | 2
 989 | 2
 990 | 2
 991 | 2
 992 | 2
 993 | 2
 994 | 3
 995 | 2
 996 | 2
 997 | 1
 998 | 1
 999 | 1
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/hmm/gt_x7.csv:
--------------------------------------------------------------------------------
   1 | 2
   2 | 2
   3 | 3
   4 | 3
   5 | 3
   6 | 3
   7 | 3
   8 | 3
   9 | 3
  10 | 3
  11 | 3
  12 | 3
  13 | 3
  14 | 3
  15 | 3
  16 | 3
  17 | 1
  18 | 1
  19 | 1
  20 | 1
  21 | 1
  22 | 1
  23 | 1
  24 | 2
  25 | 2
  26 | 2
  27 | 2
  28 | 2
  29 | 1
  30 | 1
  31 | 1
  32 | 1
  33 | 1
  34 | 1
  35 | 1
  36 | 1
  37 | 1
  38 | 1
  39 | 1
  40 | 1
  41 | 2
  42 | 2
  43 | 2
  44 | 3
  45 | 3
  46 | 3
  47 | 3
  48 | 3
  49 | 1
  50 | 1
  51 | 1
  52 | 1
  53 | 1
  54 | 2
  55 | 2
  56 | 2
  57 | 2
  58 | 2
  59 | 2
  60 | 2
  61 | 2
  62 | 2
  63 | 2
  64 | 2
  65 | 2
  66 | 2
  67 | 2
  68 | 2
  69 | 2
  70 | 2
  71 | 1
  72 | 1
  73 | 2
  74 | 2
  75 | 3
  76 | 3
  77 | 2
  78 | 2
  79 | 2
  80 | 2
  81 | 2
  82 | 1
  83 | 1
  84 | 1
  85 | 2
  86 | 1
  87 | 1
  88 | 1
  89 | 1
  90 | 2
  91 | 2
  92 | 2
  93 | 1
  94 | 2
  95 | 1
  96 | 1
  97 | 1
  98 | 1
  99 | 1
 100 | 1
 101 | 2
 102 | 3
 103 | 3
 104 | 3
 105 | 3
 106 | 3
 107 | 3
 108 | 3
 109 | 2
 110 | 1
 111 | 1
 112 | 1
 113 | 1
 114 | 1
 115 | 1
 116 | 1
 117 | 2
 118 | 2
 119 | 2
 120 | 2
 121 | 2
 122 | 2
 123 | 2
 124 | 3
 125 | 2
 126 | 2
 127 | 1
 128 | 1
 129 | 1
 130 | 1
 131 | 1
 132 | 1
 133 | 1
 134 | 1
 135 | 1
 136 | 1
 137 | 2
 138 | 2
 139 | 2
 140 | 2
 141 | 2
 142 | 2
 143 | 1
 144 | 1
 145 | 1
 146 | 1
 147 | 2
 148 | 1
 149 | 2
 150 | 2
 151 | 2
 152 | 1
 153 | 1
 154 | 2
 155 | 2
 156 | 3
 157 | 3
 158 | 3
 159 | 3
 160 | 3
 161 | 3
 162 | 3
 163 | 3
 164 | 1
 165 | 2
 166 | 2
 167 | 2
 168 | 1
 169 | 1
 170 | 1
 171 | 1
 172 | 1
 173 | 1
 174 | 1
 175 | 1
 176 | 1
 177 | 1
 178 | 1
 179 | 1
 180 | 1
 181 | 1
 182 | 1
 183 | 1
 184 | 1
 185 | 1
 186 | 1
 187 | 1
 188 | 1
 189 | 1
 190 | 2
 191 | 2
 192 | 2
 193 | 2
 194 | 2
 195 | 2
 196 | 1
 197 | 1
 198 | 2
 199 | 2
 200 | 1
 201 | 1
 202 | 1
 203 | 1
 204 | 1
 205 | 1
 206 | 2
 207 | 3
 208 | 3
 209 | 3
 210 | 3
 211 | 3
 212 | 1
 213 | 1
 214 | 1
 215 | 1
 216 | 1
 217 | 1
 218 | 1
 219 | 1
 220 | 1
 221 | 2
 222 | 2
 223 | 2
 224 | 1
 225 | 1
 226 | 1
 227 | 1
 228 | 2
 229 | 1
 230 | 1
 231 | 1
 232 | 1
 233 | 1
 234 | 2
 235 | 1
 236 | 1
 237 | 1
 238 | 1
 239 | 1
 240 | 1
 241 | 1
 242 | 2
 243 | 2
 244 | 3
 245 | 3
 246 | 3
 247 | 1
 248 | 1
 249 | 1
 250 | 2
 251 | 1
 252 | 2
 253 | 3
 254 | 2
 255 | 2
 256 | 2
 257 | 2
 258 | 2
 259 | 2
 260 | 2
 261 | 2
 262 | 2
 263 | 2
 264 | 2
 265 | 2
 266 | 2
 267 | 2
 268 | 2
 269 | 2
 270 | 2
 271 | 2
 272 | 2
 273 | 2
 274 | 1
 275 | 1
 276 | 1
 277 | 1
 278 | 2
 279 | 2
 280 | 1
 281 | 1
 282 | 1
 283 | 1
 284 | 1
 285 | 1
 286 | 1
 287 | 1
 288 | 1
 289 | 1
 290 | 1
 291 | 1
 292 | 1
 293 | 1
 294 | 1
 295 | 1
 296 | 1
 297 | 1
 298 | 1
 299 | 1
 300 | 1
 301 | 2
 302 | 2
 303 | 2
 304 | 2
 305 | 2
 306 | 2
 307 | 2
 308 | 2
 309 | 2
 310 | 2
 311 | 2
 312 | 2
 313 | 3
 314 | 2
 315 | 2
 316 | 2
 317 | 2
 318 | 1
 319 | 1
 320 | 1
 321 | 1
 322 | 1
 323 | 1
 324 | 1
 325 | 1
 326 | 1
 327 | 1
 328 | 2
 329 | 2
 330 | 2
 331 | 3
 332 | 3
 333 | 2
 334 | 2
 335 | 2
 336 | 2
 337 | 2
 338 | 2
 339 | 1
 340 | 2
 341 | 2
 342 | 2
 343 | 2
 344 | 1
 345 | 1
 346 | 2
 347 | 2
 348 | 2
 349 | 2
 350 | 2
 351 | 2
 352 | 3
 353 | 3
 354 | 3
 355 | 1
 356 | 2
 357 | 2
 358 | 2
 359 | 2
 360 | 2
 361 | 2
 362 | 3
 363 | 3
 364 | 3
 365 | 3
 366 | 2
 367 | 3
 368 | 3
 369 | 3
 370 | 2
 371 | 2
 372 | 2
 373 | 2
 374 | 2
 375 | 2
 376 | 3
 377 | 3
 378 | 2
 379 | 2
 380 | 2
 381 | 3
 382 | 3
 383 | 3
 384 | 2
 385 | 2
 386 | 2
 387 | 2
 388 | 2
 389 | 2
 390 | 2
 391 | 2
 392 | 2
 393 | 2
 394 | 3
 395 | 3
 396 | 3
 397 | 2
 398 | 2
 399 | 2
 400 | 2
 401 | 2
 402 | 2
 403 | 2
 404 | 2
 405 | 2
 406 | 2
 407 | 2
 408 | 2
 409 | 2
 410 | 2
 411 | 2
 412 | 2
 413 | 2
 414 | 2
 415 | 1
 416 | 1
 417 | 1
 418 | 2
 419 | 2
 420 | 1
 421 | 1
 422 | 1
 423 | 1
 424 | 1
 425 | 1
 426 | 1
 427 | 1
 428 | 1
 429 | 2
 430 | 3
 431 | 3
 432 | 3
 433 | 3
 434 | 2
 435 | 3
 436 | 3
 437 | 3
 438 | 3
 439 | 2
 440 | 2
 441 | 2
 442 | 3
 443 | 3
 444 | 3
 445 | 3
 446 | 3
 447 | 2
 448 | 2
 449 | 1
 450 | 1
 451 | 1
 452 | 1
 453 | 2
 454 | 2
 455 | 1
 456 | 1
 457 | 2
 458 | 1
 459 | 2
 460 | 2
 461 | 2
 462 | 1
 463 | 2
 464 | 2
 465 | 2
 466 | 2
 467 | 2
 468 | 2
 469 | 2
 470 | 2
 471 | 2
 472 | 2
 473 | 2
 474 | 1
 475 | 1
 476 | 1
 477 | 2
 478 | 2
 479 | 3
 480 | 3
 481 | 2
 482 | 3
 483 | 3
 484 | 3
 485 | 2
 486 | 1
 487 | 1
 488 | 1
 489 | 1
 490 | 2
 491 | 2
 492 | 2
 493 | 2
 494 | 3
 495 | 3
 496 | 3
 497 | 3
 498 | 2
 499 | 2
 500 | 2
 501 | 2
 502 | 2
 503 | 1
 504 | 1
 505 | 1
 506 | 1
 507 | 2
 508 | 2
 509 | 2
 510 | 2
 511 | 2
 512 | 1
 513 | 1
 514 | 1
 515 | 2
 516 | 2
 517 | 2
 518 | 3
 519 | 2
 520 | 2
 521 | 2
 522 | 2
 523 | 2
 524 | 3
 525 | 3
 526 | 3
 527 | 2
 528 | 1
 529 | 1
 530 | 1
 531 | 2
 532 | 2
 533 | 2
 534 | 1
 535 | 1
 536 | 1
 537 | 1
 538 | 1
 539 | 1
 540 | 1
 541 | 1
 542 | 1
 543 | 1
 544 | 1
 545 | 2
 546 | 2
 547 | 1
 548 | 2
 549 | 2
 550 | 2
 551 | 2
 552 | 2
 553 | 3
 554 | 3
 555 | 2
 556 | 2
 557 | 2
 558 | 2
 559 | 2
 560 | 2
 561 | 1
 562 | 1
 563 | 1
 564 | 2
 565 | 1
 566 | 1
 567 | 2
 568 | 2
 569 | 1
 570 | 1
 571 | 1
 572 | 1
 573 | 2
 574 | 3
 575 | 2
 576 | 3
 577 | 3
 578 | 1
 579 | 1
 580 | 1
 581 | 1
 582 | 1
 583 | 1
 584 | 1
 585 | 1
 586 | 1
 587 | 1
 588 | 2
 589 | 2
 590 | 1
 591 | 1
 592 | 1
 593 | 1
 594 | 1
 595 | 1
 596 | 1
 597 | 2
 598 | 2
 599 | 2
 600 | 1
 601 | 1
 602 | 1
 603 | 1
 604 | 1
 605 | 1
 606 | 1
 607 | 1
 608 | 1
 609 | 2
 610 | 2
 611 | 1
 612 | 1
 613 | 1
 614 | 1
 615 | 1
 616 | 2
 617 | 2
 618 | 2
 619 | 3
 620 | 1
 621 | 1
 622 | 1
 623 | 1
 624 | 1
 625 | 1
 626 | 2
 627 | 2
 628 | 2
 629 | 2
 630 | 2
 631 | 2
 632 | 1
 633 | 1
 634 | 1
 635 | 1
 636 | 1
 637 | 1
 638 | 2
 639 | 2
 640 | 3
 641 | 2
 642 | 2
 643 | 2
 644 | 2
 645 | 3
 646 | 3
 647 | 3
 648 | 2
 649 | 3
 650 | 3
 651 | 1
 652 | 2
 653 | 2
 654 | 2
 655 | 2
 656 | 2
 657 | 2
 658 | 2
 659 | 2
 660 | 3
 661 | 3
 662 | 3
 663 | 2
 664 | 2
 665 | 1
 666 | 1
 667 | 2
 668 | 1
 669 | 1
 670 | 1
 671 | 1
 672 | 1
 673 | 1
 674 | 1
 675 | 1
 676 | 2
 677 | 2
 678 | 2
 679 | 2
 680 | 2
 681 | 2
 682 | 3
 683 | 3
 684 | 3
 685 | 3
 686 | 3
 687 | 3
 688 | 3
 689 | 3
 690 | 2
 691 | 2
 692 | 2
 693 | 2
 694 | 2
 695 | 2
 696 | 2
 697 | 2
 698 | 1
 699 | 2
 700 | 2
 701 | 2
 702 | 3
 703 | 3
 704 | 3
 705 | 3
 706 | 3
 707 | 3
 708 | 1
 709 | 1
 710 | 1
 711 | 1
 712 | 1
 713 | 1
 714 | 1
 715 | 1
 716 | 1
 717 | 1
 718 | 1
 719 | 1
 720 | 2
 721 | 2
 722 | 1
 723 | 1
 724 | 1
 725 | 1
 726 | 2
 727 | 1
 728 | 1
 729 | 1
 730 | 1
 731 | 1
 732 | 1
 733 | 1
 734 | 1
 735 | 1
 736 | 1
 737 | 1
 738 | 1
 739 | 1
 740 | 1
 741 | 1
 742 | 1
 743 | 1
 744 | 1
 745 | 2
 746 | 2
 747 | 3
 748 | 2
 749 | 2
 750 | 1
 751 | 1
 752 | 1
 753 | 1
 754 | 2
 755 | 2
 756 | 2
 757 | 2
 758 | 3
 759 | 3
 760 | 3
 761 | 2
 762 | 2
 763 | 2
 764 | 2
 765 | 2
 766 | 2
 767 | 1
 768 | 1
 769 | 1
 770 | 1
 771 | 2
 772 | 1
 773 | 1
 774 | 1
 775 | 1
 776 | 1
 777 | 1
 778 | 2
 779 | 2
 780 | 2
 781 | 2
 782 | 2
 783 | 2
 784 | 2
 785 | 1
 786 | 1
 787 | 1
 788 | 1
 789 | 1
 790 | 1
 791 | 1
 792 | 1
 793 | 1
 794 | 2
 795 | 2
 796 | 2
 797 | 2
 798 | 2
 799 | 2
 800 | 2
 801 | 2
 802 | 2
 803 | 2
 804 | 2
 805 | 2
 806 | 2
 807 | 2
 808 | 2
 809 | 2
 810 | 2
 811 | 2
 812 | 1
 813 | 1
 814 | 2
 815 | 2
 816 | 3
 817 | 3
 818 | 3
 819 | 2
 820 | 1
 821 | 1
 822 | 1
 823 | 1
 824 | 2
 825 | 2
 826 | 1
 827 | 2
 828 | 2
 829 | 3
 830 | 2
 831 | 2
 832 | 1
 833 | 1
 834 | 1
 835 | 1
 836 | 1
 837 | 2
 838 | 2
 839 | 2
 840 | 2
 841 | 2
 842 | 1
 843 | 1
 844 | 1
 845 | 1
 846 | 1
 847 | 1
 848 | 1
 849 | 2
 850 | 1
 851 | 1
 852 | 1
 853 | 1
 854 | 2
 855 | 2
 856 | 2
 857 | 2
 858 | 2
 859 | 2
 860 | 2
 861 | 3
 862 | 3
 863 | 3
 864 | 3
 865 | 2
 866 | 3
 867 | 2
 868 | 2
 869 | 1
 870 | 1
 871 | 1
 872 | 2
 873 | 2
 874 | 2
 875 | 2
 876 | 1
 877 | 1
 878 | 1
 879 | 1
 880 | 2
 881 | 3
 882 | 1
 883 | 1
 884 | 1
 885 | 1
 886 | 2
 887 | 2
 888 | 2
 889 | 2
 890 | 2
 891 | 2
 892 | 3
 893 | 3
 894 | 3
 895 | 3
 896 | 3
 897 | 3
 898 | 3
 899 | 3
 900 | 3
 901 | 3
 902 | 3
 903 | 3
 904 | 3
 905 | 3
 906 | 3
 907 | 1
 908 | 1
 909 | 1
 910 | 1
 911 | 1
 912 | 1
 913 | 2
 914 | 2
 915 | 2
 916 | 2
 917 | 2
 918 | 1
 919 | 1
 920 | 2
 921 | 3
 922 | 3
 923 | 3
 924 | 1
 925 | 1
 926 | 2
 927 | 2
 928 | 2
 929 | 2
 930 | 1
 931 | 2
 932 | 2
 933 | 2
 934 | 3
 935 | 2
 936 | 2
 937 | 2
 938 | 2
 939 | 2
 940 | 2
 941 | 2
 942 | 1
 943 | 1
 944 | 1
 945 | 2
 946 | 1
 947 | 1
 948 | 1
 949 | 2
 950 | 2
 951 | 2
 952 | 2
 953 | 2
 954 | 2
 955 | 2
 956 | 3
 957 | 3
 958 | 3
 959 | 3
 960 | 3
 961 | 3
 962 | 3
 963 | 3
 964 | 3
 965 | 1
 966 | 1
 967 | 1
 968 | 1
 969 | 1
 970 | 1
 971 | 2
 972 | 2
 973 | 2
 974 | 2
 975 | 3
 976 | 1
 977 | 2
 978 | 2
 979 | 2
 980 | 2
 981 | 2
 982 | 2
 983 | 3
 984 | 2
 985 | 1
 986 | 1
 987 | 1
 988 | 1
 989 | 1
 990 | 2
 991 | 2
 992 | 1
 993 | 1
 994 | 1
 995 | 1
 996 | 1
 997 | 1
 998 | 1
 999 | 1
1000 | 1
1001 | 


--------------------------------------------------------------------------------
/resources/data/iris.csv:
--------------------------------------------------------------------------------
  1 | 5.1,3.5,1.4,0.2,Iris-setosa
  2 | 4.9,3.0,1.4,0.2,Iris-setosa
  3 | 4.7,3.2,1.3,0.2,Iris-setosa
  4 | 4.6,3.1,1.5,0.2,Iris-setosa
  5 | 5.0,3.6,1.4,0.2,Iris-setosa
  6 | 5.4,3.9,1.7,0.4,Iris-setosa
  7 | 4.6,3.4,1.4,0.3,Iris-setosa
  8 | 5.0,3.4,1.5,0.2,Iris-setosa
  9 | 4.4,2.9,1.4,0.2,Iris-setosa
 10 | 4.9,3.1,1.5,0.1,Iris-setosa
 11 | 5.4,3.7,1.5,0.2,Iris-setosa
 12 | 4.8,3.4,1.6,0.2,Iris-setosa
 13 | 4.8,3.0,1.4,0.1,Iris-setosa
 14 | 4.3,3.0,1.1,0.1,Iris-setosa
 15 | 5.8,4.0,1.2,0.2,Iris-setosa
 16 | 5.7,4.4,1.5,0.4,Iris-setosa
 17 | 5.4,3.9,1.3,0.4,Iris-setosa
 18 | 5.1,3.5,1.4,0.3,Iris-setosa
 19 | 5.7,3.8,1.7,0.3,Iris-setosa
 20 | 5.1,3.8,1.5,0.3,Iris-setosa
 21 | 5.4,3.4,1.7,0.2,Iris-setosa
 22 | 5.1,3.7,1.5,0.4,Iris-setosa
 23 | 4.6,3.6,1.0,0.2,Iris-setosa
 24 | 5.1,3.3,1.7,0.5,Iris-setosa
 25 | 4.8,3.4,1.9,0.2,Iris-setosa
 26 | 5.0,3.0,1.6,0.2,Iris-setosa
 27 | 5.0,3.4,1.6,0.4,Iris-setosa
 28 | 5.2,3.5,1.5,0.2,Iris-setosa
 29 | 5.2,3.4,1.4,0.2,Iris-setosa
 30 | 4.7,3.2,1.6,0.2,Iris-setosa
 31 | 4.8,3.1,1.6,0.2,Iris-setosa
 32 | 5.4,3.4,1.5,0.4,Iris-setosa
 33 | 5.2,4.1,1.5,0.1,Iris-setosa
 34 | 5.5,4.2,1.4,0.2,Iris-setosa
 35 | 4.9,3.1,1.5,0.1,Iris-setosa
 36 | 5.0,3.2,1.2,0.2,Iris-setosa
 37 | 5.5,3.5,1.3,0.2,Iris-setosa
 38 | 4.9,3.1,1.5,0.1,Iris-setosa
 39 | 4.4,3.0,1.3,0.2,Iris-setosa
 40 | 5.1,3.4,1.5,0.2,Iris-setosa
 41 | 5.0,3.5,1.3,0.3,Iris-setosa
 42 | 4.5,2.3,1.3,0.3,Iris-setosa
 43 | 4.4,3.2,1.3,0.2,Iris-setosa
 44 | 5.0,3.5,1.6,0.6,Iris-setosa
 45 | 5.1,3.8,1.9,0.4,Iris-setosa
 46 | 4.8,3.0,1.4,0.3,Iris-setosa
 47 | 5.1,3.8,1.6,0.2,Iris-setosa
 48 | 4.6,3.2,1.4,0.2,Iris-setosa
 49 | 5.3,3.7,1.5,0.2,Iris-setosa
 50 | 5.0,3.3,1.4,0.2,Iris-setosa
 51 | 7.0,3.2,4.7,1.4,Iris-versicolor
 52 | 6.4,3.2,4.5,1.5,Iris-versicolor
 53 | 6.9,3.1,4.9,1.5,Iris-versicolor
 54 | 5.5,2.3,4.0,1.3,Iris-versicolor
 55 | 6.5,2.8,4.6,1.5,Iris-versicolor
 56 | 5.7,2.8,4.5,1.3,Iris-versicolor
 57 | 6.3,3.3,4.7,1.6,Iris-versicolor
 58 | 4.9,2.4,3.3,1.0,Iris-versicolor
 59 | 6.6,2.9,4.6,1.3,Iris-versicolor
 60 | 5.2,2.7,3.9,1.4,Iris-versicolor
 61 | 5.0,2.0,3.5,1.0,Iris-versicolor
 62 | 5.9,3.0,4.2,1.5,Iris-versicolor
 63 | 6.0,2.2,4.0,1.0,Iris-versicolor
 64 | 6.1,2.9,4.7,1.4,Iris-versicolor
 65 | 5.6,2.9,3.6,1.3,Iris-versicolor
 66 | 6.7,3.1,4.4,1.4,Iris-versicolor
 67 | 5.6,3.0,4.5,1.5,Iris-versicolor
 68 | 5.8,2.7,4.1,1.0,Iris-versicolor
 69 | 6.2,2.2,4.5,1.5,Iris-versicolor
 70 | 5.6,2.5,3.9,1.1,Iris-versicolor
 71 | 5.9,3.2,4.8,1.8,Iris-versicolor
 72 | 6.1,2.8,4.0,1.3,Iris-versicolor
 73 | 6.3,2.5,4.9,1.5,Iris-versicolor
 74 | 6.1,2.8,4.7,1.2,Iris-versicolor
 75 | 6.4,2.9,4.3,1.3,Iris-versicolor
 76 | 6.6,3.0,4.4,1.4,Iris-versicolor
 77 | 6.8,2.8,4.8,1.4,Iris-versicolor
 78 | 6.7,3.0,5.0,1.7,Iris-versicolor
 79 | 6.0,2.9,4.5,1.5,Iris-versicolor
 80 | 5.7,2.6,3.5,1.0,Iris-versicolor
 81 | 5.5,2.4,3.8,1.1,Iris-versicolor
 82 | 5.5,2.4,3.7,1.0,Iris-versicolor
 83 | 5.8,2.7,3.9,1.2,Iris-versicolor
 84 | 6.0,2.7,5.1,1.6,Iris-versicolor
 85 | 5.4,3.0,4.5,1.5,Iris-versicolor
 86 | 6.0,3.4,4.5,1.6,Iris-versicolor
 87 | 6.7,3.1,4.7,1.5,Iris-versicolor
 88 | 6.3,2.3,4.4,1.3,Iris-versicolor
 89 | 5.6,3.0,4.1,1.3,Iris-versicolor
 90 | 5.5,2.5,4.0,1.3,Iris-versicolor
 91 | 5.5,2.6,4.4,1.2,Iris-versicolor
 92 | 6.1,3.0,4.6,1.4,Iris-versicolor
 93 | 5.8,2.6,4.0,1.2,Iris-versicolor
 94 | 5.0,2.3,3.3,1.0,Iris-versicolor
 95 | 5.6,2.7,4.2,1.3,Iris-versicolor
 96 | 5.7,3.0,4.2,1.2,Iris-versicolor
 97 | 5.7,2.9,4.2,1.3,Iris-versicolor
 98 | 6.2,2.9,4.3,1.3,Iris-versicolor
 99 | 5.1,2.5,3.0,1.1,Iris-versicolor
100 | 5.7,2.8,4.1,1.3,Iris-versicolor
101 | 6.3,3.3,6.0,2.5,Iris-virginica
102 | 5.8,2.7,5.1,1.9,Iris-virginica
103 | 7.1,3.0,5.9,2.1,Iris-virginica
104 | 6.3,2.9,5.6,1.8,Iris-virginica
105 | 6.5,3.0,5.8,2.2,Iris-virginica
106 | 7.6,3.0,6.6,2.1,Iris-virginica
107 | 4.9,2.5,4.5,1.7,Iris-virginica
108 | 7.3,2.9,6.3,1.8,Iris-virginica
109 | 6.7,2.5,5.8,1.8,Iris-virginica
110 | 7.2,3.6,6.1,2.5,Iris-virginica
111 | 6.5,3.2,5.1,2.0,Iris-virginica
112 | 6.4,2.7,5.3,1.9,Iris-virginica
113 | 6.8,3.0,5.5,2.1,Iris-virginica
114 | 5.7,2.5,5.0,2.0,Iris-virginica
115 | 5.8,2.8,5.1,2.4,Iris-virginica
116 | 6.4,3.2,5.3,2.3,Iris-virginica
117 | 6.5,3.0,5.5,1.8,Iris-virginica
118 | 7.7,3.8,6.7,2.2,Iris-virginica
119 | 7.7,2.6,6.9,2.3,Iris-virginica
120 | 6.0,2.2,5.0,1.5,Iris-virginica
121 | 6.9,3.2,5.7,2.3,Iris-virginica
122 | 5.6,2.8,4.9,2.0,Iris-virginica
123 | 7.7,2.8,6.7,2.0,Iris-virginica
124 | 6.3,2.7,4.9,1.8,Iris-virginica
125 | 6.7,3.3,5.7,2.1,Iris-virginica
126 | 7.2,3.2,6.0,1.8,Iris-virginica
127 | 6.2,2.8,4.8,1.8,Iris-virginica
128 | 6.1,3.0,4.9,1.8,Iris-virginica
129 | 6.4,2.8,5.6,2.1,Iris-virginica
130 | 7.2,3.0,5.8,1.6,Iris-virginica
131 | 7.4,2.8,6.1,1.9,Iris-virginica
132 | 7.9,3.8,6.4,2.0,Iris-virginica
133 | 6.4,2.8,5.6,2.2,Iris-virginica
134 | 6.3,2.8,5.1,1.5,Iris-virginica
135 | 6.1,2.6,5.6,1.4,Iris-virginica
136 | 7.7,3.0,6.1,2.3,Iris-virginica
137 | 6.3,3.4,5.6,2.4,Iris-virginica
138 | 6.4,3.1,5.5,1.8,Iris-virginica
139 | 6.0,3.0,4.8,1.8,Iris-virginica
140 | 6.9,3.1,5.4,2.1,Iris-virginica
141 | 6.7,3.1,5.6,2.4,Iris-virginica
142 | 6.9,3.1,5.1,2.3,Iris-virginica
143 | 5.8,2.7,5.1,1.9,Iris-virginica
144 | 6.8,3.2,5.9,2.3,Iris-virginica
145 | 6.7,3.3,5.7,2.5,Iris-virginica
146 | 6.7,3.0,5.2,2.3,Iris-virginica
147 | 6.3,2.5,5.0,1.9,Iris-virginica
148 | 6.5,3.0,5.2,2.0,Iris-virginica
149 | 6.2,3.4,5.4,2.3,Iris-virginica
150 | 5.9,3.0,5.1,1.8,Iris-virginica
151 | 


--------------------------------------------------------------------------------
/resources/matlab/wishart/logmvgamma.m:
--------------------------------------------------------------------------------
 1 | 
 2 | % From here: https://github.com/areslp/matlab/blob/master/vbgm/logmvgamma.m
 3 | 
 4 | function y = logmvgamma(x,d)
 5 | % Compute logarithm multivariate Gamma function.
 6 | % Gamma_p(x) = pi^(p(p-1)/4) prod_(j=1)^p Gamma(x+(1-j)/2)
 7 | % log Gamma_p(x) = p(p-1)/4 log pi + sum_(j=1)^p log Gamma(x+(1-j)/2)
 8 | % Written by Michael Chen (sth4nth@gmail.com).
 9 | s = size(x);
10 | x = reshape(x,1,prod(s));
11 | x = bsxfun(@plus,repmat(x,d,1),(1-(1:d)')/2);
12 | y = d*(d-1)/4*log(pi)+sum(gammaln(x),1);
13 | y = reshape(y,s);
14 | 


--------------------------------------------------------------------------------
/resources/matlab/wishart/wishpdfln.m:
--------------------------------------------------------------------------------
 1 | 
 2 | % From Wikipedia: http://en.wikipedia.org/wiki/Wishart_distribution
 3 | 
 4 | function lnpdf = wishpdfln(X, n, V)
 5 | p = size(X,1);
 6 | lnpdf = 0;
 7 | lnpdf = lnpdf + ((n - p - 1) / 2.0) * log(det(X));
 8 | lnpdf = lnpdf - (trace(inv(V) * X) / 2.0);
 9 | lnpdf = lnpdf - ((n * p) / 2.0) * log(2.0);
10 | lnpdf = lnpdf - (n / 2.0) * log(det(V));
11 | lnpdf = lnpdf - logmvgamma(n / 2.0, p);
12 | 


--------------------------------------------------------------------------------
/src/bopp/error_handling.clj:
--------------------------------------------------------------------------------
 1 | (ns bopp.error-handling
 2 |   "Error handling for BOPP")
 3 | 
 4 | (defn- dist-type [dist-symbol]
 5 |   "Given a distribution object symbol, returns either 'continuous or
 6 |   'discrete."
 7 |   (cond (some #(= dist-symbol %)
 8 |               ['bernoulli 'binomial 'categorical 'discrete 'flip 'poisson
 9 |                'uniform-discrete])
10 |         'discrete
11 | 
12 |         (some #(= dist-symbol %)
13 |               ['beta 'gamma 'dirichlet 'exponential 'chi-squared 'normal
14 |                'uniform-continuous 'mvn 'multivariate-t 'wishart])
15 |         'continuous
16 | 
17 |         :else
18 |         (throw (Exception. (str "Distribution " dist-symbol " not supported.")))))
19 | 
20 | (defn- detect-types [ast optim-args types]
21 |   "Given an abstract syntax tree of an optimization query, collect types of
22 |   distribution objects being assigned to optimization variables in optim-args.
23 | 
24 |   Returns a map with optim-arg as key and {list of types of distributions being
25 |   assigned to this optim-arg} as value. E.g.
26 | 
27 |   {'theta ['continuous 'continuous 'discrete]
28 |    'psi ['continuous]}.
29 | 
30 |   Used as a helper function for changing-types?."
31 |   (if (list? ast)
32 |     (let [root (first ast)]
33 |       (if (= root 'let)
34 |         (loop [bindings (second ast)
35 |                ;; Initialize new-types to contain types from statemets after
36 |                ;; the binding vector
37 |                new-types (reduce (partial merge-with concat) {}
38 |                                  (map #(detect-types % optim-args {}) (drop 2 ast)))]
39 |           (if (empty? bindings)
40 |             (merge-with concat types new-types)
41 |             (let [[name value] (take 2 bindings)]
42 |               (recur (drop 2 bindings)
43 |                      (if (some #(= name %) optim-args)
44 |                        (update new-types name #(conj % (dist-type (first (second value)))))
45 |                        (merge-with concat new-types (detect-types value optim-args {})))))))
46 |         (reduce (partial merge-with concat)
47 |                 types
48 |                 (map #(detect-types % optim-args {}) (rest ast)))))
49 |     types))
50 | 
51 | (defn changing-types?
52 |   [& args]
53 |   "Given an optimization query, detect whether there are assignments to the
54 |   same optimization variables that change type from continuous to discrete or
55 |   vice-versa.
56 |   Returns true or false."
57 |   (let [value (first args)
58 |         optim-args (second args)
59 |         source (drop 2 args)
60 |         types (detect-types (apply list (conj source 'do)) optim-args {})]
61 |     (not (every? (partial apply =)
62 |                  (vals types)))))
63 | 


--------------------------------------------------------------------------------
/src/bopp/helper_functions.clj:
--------------------------------------------------------------------------------
  1 | (ns bopp.helper-functions
  2 |   "Helper functions"
  3 |   (:require [clojure.core.matrix :as m]
  4 |             [clojure.core.matrix.linear :as ml]))
  5 | 
  6 | ;; matrix library uses vectorz for protocol implementations
  7 | (m/set-current-implementation :vectorz)
  8 | 
  9 | (defn argmax
 10 |   "Index of maximum of a collection"
 11 |   [coll]
 12 |   (first
 13 |    (apply max-key
 14 |           second
 15 |           (map vector
 16 |                (range (count coll))
 17 |                coll))))
 18 | 
 19 | (defn indexed-max
 20 |   "Returns an indexed maximum. Accepts a function f and a collection
 21 |   coll. Returns a pair [y-max i-max] in which y-max is the largest
 22 |   value (f x-max) and i-max is the index such that (nth coll i-max)
 23 |   returns x-max."
 24 |   [f coll]
 25 |   (loop [best [(/ 1 (- 0.0)) 0]
 26 |          i 0
 27 |          xs coll]
 28 |     (if-let [x (first xs)]
 29 |       (let [[y-max i-max] best
 30 |             y (f x)]
 31 |         (recur (if (> y y-max)
 32 |                  [y i]
 33 |                  best)
 34 |                (inc i)
 35 |                (rest xs)))
 36 |       best)))
 37 | 
 38 | (defn cartesian [colls]
 39 |   (if (empty? colls)
 40 |     '(())
 41 |     (for [x (first colls)
 42 |           more (cartesian (rest colls))]
 43 |       (cons x more))))
 44 | 
 45 | ;; Functions ported from Anglican
 46 | 
 47 | ;; erf
 48 | (defn erf
 49 |   "error function"
 50 |   [x]
 51 |   (org.apache.commons.math3.special.Erf/erf x))
 52 | 
 53 | ;; mean
 54 | (defn sum
 55 |   "sums array slices along specified dimension"
 56 |   ([a dimension]
 57 |    (reduce
 58 |      m/add
 59 |      (m/slices a dimension)))
 60 |   ([a]
 61 |    (sum a 0)))
 62 | 
 63 | (defn mean
 64 |   "mean of array slices along specified dimension"
 65 |   ([a dimension]
 66 |    (m/div (sum a dimension)
 67 |           (get (m/shape a) dimension)))
 68 |   ([a]
 69 |    (mean a 0)))
 70 | 
 71 | ;; distributions
 72 | (defprotocol distribution
 73 |   "random distribution"
 74 |   (sample* [this]
 75 |     "draws a sample from the distribution")
 76 |   (observe* [this value]
 77 |     "return the probability [density] of the value"))
 78 | 
 79 | (def RNG
 80 |   "random number generator;
 81 |   used by Apache Commons Math distribution objects"
 82 |   (org.apache.commons.math3.random.SynchronizedRandomGenerator.
 83 |     (org.apache.commons.math3.random.Well19937c.)))
 84 | 
 85 | (defn ^:private qualify
 86 |   "accepts a symbol, returns the qualified symbol;
 87 |   intended to be called from a macro"
 88 |   [s]
 89 |   (symbol (format "%s/%s" *ns* s)))
 90 | 
 91 | (defmacro defdist
 92 |   "defines distribution"
 93 |   [name & args]
 94 |   (let [[docstring parameters & args]
 95 |         (if (string? (first args))
 96 |           args
 97 |           `(~(format "%s distribution" name) ~@args))
 98 |         [bindings & methods]
 99 |         (if (vector? (first args))
100 |           args
101 |           `[[] ~@args])
102 |         record-name (symbol (format "%s-distribution" name))
103 |         variables (take-nth 2 bindings)]
104 |     `(do
105 |        (declare ~name)
106 |        (defrecord ~record-name [~@parameters ~@variables]
107 |          Object
108 |          (toString [~'this]
109 |            (str (list '~(qualify name) ~@parameters)))
110 |          distribution
111 |          ~@methods)
112 |        (defn ~name ~docstring ~parameters
113 |          (let ~bindings
114 |            (~(symbol (format "->%s" record-name))
115 |                      ~@parameters ~@variables)))
116 |        (defmethod print-method ~record-name
117 |          [~'o ~'m]
118 |          (print-simple (str ~'o) ~'m)))))
119 | 
120 | (defmacro ^:private from-apache
121 |   "wraps Apache Commons Math distribution"
122 |   [name args type [apache-name & apache-args]]
123 |   (let [dist (gensym "dist")]
124 |     `(defdist ~(symbol name)
125 |        ~(format "%s distribution (imported from apache)" name)
126 |        ~args
127 |        [~dist (~(symbol (format "org.apache.commons.math3.distribution.%sDistribution." apache-name))
128 |                         RNG ~@apache-args)]
129 |        (~'sample* [~'this] (.sample ~dist))
130 |        (~'observe* [~'this ~'value]
131 |          ~(case type
132 |             :discrete `(~'.logProbability ~dist ~'value)
133 |             :continuous `(~'.logDensity ~dist ~'value))))))
134 | 
135 | (defprotocol multivariate-distribution
136 |   "additional methods for multivariate distributions"
137 |   (transform-sample [this samples]
138 |     "accepts a vector of random values and generates
139 |     a sample from the multivariate distribution"))
140 | 
141 | (from-apache normal [mean sd] :continuous
142 |   (Normal (double mean) (double sd)))
143 | 
144 | (defdist mvn
145 |   "multivariate normal"
146 |   [mean cov] [k (m/ecount mean)     ; number of dimensions
147 |               Lcov (:L (ml/cholesky (m/matrix cov)))
148 |               unit-normal (normal 0 1)
149 |               Z (delay (let [|Lcov| (reduce * (m/diagonal Lcov))]
150 |                          (+ (* 0.5 k (Math/log (* 2 Math/PI)))
151 |                             (Math/log |Lcov|))))
152 |               iLcov (delay (m/inverse Lcov))
153 |               transform-sample (fn [samples]
154 |                                  (m/add mean (m/mmul Lcov samples)))]
155 |   (sample* [this] (transform-sample
156 |                    (repeatedly k #(sample* unit-normal))))
157 |   (observe* [this value]
158 |            (let [dx (m/mmul @iLcov (m/sub value mean))]
159 |              (- (* -0.5 (m/dot dx dx)) @Z)))
160 |   multivariate-distribution
161 |   (transform-sample [this samples] (transform-sample samples)))
162 | 


--------------------------------------------------------------------------------
/src/examples/simple_bimodal.clj:
--------------------------------------------------------------------------------
 1 | (ns examples.simple-bimodal
 2 |   (require [bopp.core :refer :all]
 3 |            [clojure.data.json :as json]
 4 |            [anglican.runtime :refer :all]
 5 |            [taoensso.tufte :as tufte :refer (defnp p profiled profile)]))
 6 | 
 7 | 
 8 | (defopt simple-bimodal [y] [theta]
 9 |   (let [theta (sample (normal 0 0.5))]
10 |     (observe
11 |      (normal (sqrt (* theta theta)) 0.5) y)))
12 | 
13 | (defopt simple-bimodal-noisy [y] [theta]
14 |   (let [theta (sample (normal 0 5))
15 |         sig-n (sample (normal 0 0.35))
16 |         t (+ theta sig-n)]
17 |     (observe
18 |      (normal (sqrt (* t t)) 0.5) y)))
19 | 
20 | (defn -main [folder-name & opts]
21 |   (let [[num-steps num-samples num-init plot-aq model] (map read-string (take 5 opts))
22 |         num-steps (or num-steps 1)
23 |         num-samples (or num-samples 1000)
24 |         num-init (or num-init 2)
25 |         plot-aq (or plot-aq false)
26 |         model (or (eval model) simple-bimodal)
27 |         _ (println :model-type (type model))]
28 |     (->> (doopt
29 |           :importance model [5]
30 |           num-samples
31 |           :bo-options {:num-initial-thetas num-init
32 |                        :debug-folder folder-name
33 |                        :plot-aq plot-aq
34 |                        :verbose 1})
35 |          (take num-steps)
36 |          (json/write-str)
37 |          (spit (str folder-name ".json")))))
38 | 
39 | (tufte/add-basic-println-handler! {})
40 | 
41 | (tufte/profile
42 |  {}
43 |    (-main "simple-bimodal-dump" "10" "2" "5" "false" "simple-bimodal"))
44 | 


--------------------------------------------------------------------------------
/test/bopp/core_test.clj:
--------------------------------------------------------------------------------
 1 | (ns bopp.core-test
 2 |   (:require [clojure.test :refer :all]
 3 |             [bopp.core :refer :all]
 4 |             [anglican.runtime :refer :all]
 5 |             [anglican.smc]
 6 |             [anglican.importance]
 7 |             [anglican.inference :refer [infer]]))
 8 | 
 9 | (defopt q [y] [theta]
10 |   (let [a (sample (normal 0 1))
11 |         theta (sample (gamma 1 1))
12 |         b (sample (normal a theta))]
13 |     (observe (normal (+ a b) theta) y)
14 |     [a b]))
15 | 
16 | (deftest doopt-test
17 |   (let [mmap-states (doopt :smc q [2] 100 :bo-options {:verbose 1} :opt-type :mmap)
18 |         ml2-states (doopt :smc q [2] 100 :bo-options {:verbose 1} :opt-type :ml2)]
19 |     (is (first mmap-states)
20 |         "testing whether mmap runs.")
21 |     (is (first ml2-states)
22 |         "testing whether ml2 runs.")))
23 | 
24 | ;; ;; This should throw an Exception
25 | ;; (defopt q2 [y] [theta]
26 | ;;   (let [a (sample (normal 0 1))
27 | ;;         theta (sample (gamma 1 1))
28 | ;;         b (sample (normal a theta))
29 | ;;         theta (sample (discrete 1 1))]
30 | ;;     (observe (normal (+ a b) theta) y)
31 | ;;     [a b]))
32 | 
33 | ;; ;; This shouldn't throw an Exception
34 | ;; (defopt q3 [y] [theta]
35 | ;;   (let [a (sample (normal 0 1))
36 | ;;         theta (sample (gamma 1 1))
37 | ;;         b (sample (normal a theta))
38 | ;;         theta (sample (normal 1 1))]
39 | ;;     (observe (normal (+ a b) theta) y)
40 | ;;     [a b]))
41 | 
42 | ;; ;; This should detect multiple instances of declarations of theta during runtime
43 | ;; (defopt q4 [y] [theta]
44 | ;;   (let [a (sample (normal 0 1))
45 | ;;         theta (sample (gamma 1 1))
46 | ;;         b (sample (normal a theta))
47 | ;;         theta (sample (normal 1 1))]
48 | ;;     (observe (normal (+ a b) theta) y)
49 | ;;     [a b]))
50 | ;; (def mmap-states (doopt :smc q4 [2] 100 :bo-options {:verbose 1} :opt-type :mmap))
51 | 
52 | ;; ;; This should be slow because there is an expensive operation before sampling all optim-vars
53 | ;; (defopt q5 [y] [theta psi]
54 | ;;   (let [a (sample (normal 0 1))
55 | ;;         psi (sample (normal 1 2))
56 | ;;         x (doall (repeatedly 1e5 #(sample (mvn [1 0] [[1 0] [0 1]]))))
57 | ;;         theta (sample (gamma 1 1))
58 | ;;         b (sample (normal a theta))]
59 | ;;     (observe (normal (+ a b) theta) y)
60 | ;;     [a b]))
61 | 
62 | ;; (time (first (infer :importance (:prior-query q5) [2])))
63 | 
64 | ;; ;; This should be fast
65 | ;; (defopt q6 [y] [theta psi]
66 | ;;   (let [a (sample (normal 0 1))
67 | ;;         psi (sample (normal 1 2))
68 | ;;         theta (sample (gamma 1 1))
69 | ;;         x (doall (repeatedly 1e5 #(sample (mvn [1 0] [[1 0] [0 1]]))))
70 | ;;         b (sample (normal a theta))]
71 | ;;     (observe (normal (+ a b) theta) y)
72 | ;;     [a b]))
73 | 
74 | ;; (time (first (infer :importance (:prior-query q6) [2])))
75 | 
76 | ;; (run-tests 'bopp.core-test)
77 | 


--------------------------------------------------------------------------------
/test/bopp/error_handling_test.clj:
--------------------------------------------------------------------------------
 1 | (ns bopp.error-handling-test
 2 |   (:require [clojure.test :refer :all])
 3 |   (:require [bopp.error-handling :refer :all]))
 4 | 
 5 | (deftest changing-types?-test
 6 |   (is (= true
 7 |          (apply changing-types? '([y] [theta]
 8 |                             (let [a (sample (normal 0 10))
 9 |                                   theta (sample (normal a 20))
10 |                                   b (sample (normal a (* theta theta)))
11 |                                   theta (sample (discrete [a 20]))]
12 |                               (observe (normal (* a theta) (* b b)) y)
13 |                               [a b]))))
14 |       (str "normal and discrete are different types."))
15 |   (is (= false
16 |          (apply changing-types? '([y] [theta]
17 |                             (let [a (sample (normal 0 10))
18 |                                   theta (sample (normal a 20))
19 |                                   b (sample (normal a (* theta theta)))
20 |                                   theta (sample (wishart nil nil))]
21 |                               (observe (normal (* a theta) (* b b)) y)
22 |                               [a b]))))
23 |       (str "normal and wishart are same type."))
24 |   (is (= false
25 |          (apply changing-types? '([y] [theta]
26 |                             (let [a (sample (discrete [0 10]))
27 |                                   theta (sample (discrete a 20))
28 |                                   b (sample (normal a (* theta theta)))
29 |                                   theta (sample (categorical nil nil))]
30 |                               (observe (normal (* a theta) (* b b)) y)
31 |                               [a b]))))
32 |       (str "discrete and categorical is different types."))
33 |   (is (= true
34 |          (apply changing-types? '([y] [theta]
35 |                             (let [a (sample (discrete [0 10]))
36 |                                   b (sample (normal a (* theta theta)))]
37 |                               (if condition
38 |                                 (let [theta (sample (discrete a 20))]
39 |                                   (+ 1 theta))
40 |                                 (let [theta (sample (normal nil nil))]
41 |                                   (+ 2 theta)))
42 |                               (observe (normal (* a theta) (* b b)) y)
43 |                               [a b]))))
44 |       (str "discrete and normal in different branches are different types.")))
45 | 
46 | ;; (run-tests 'bopp.error-handling-test)
47 | 


--------------------------------------------------------------------------------
/test/bopp/program_transformations_test.clj:
--------------------------------------------------------------------------------
  1 | (ns bopp.program-transformations-test
  2 |   (:require [bopp.program-transformations :refer :all]
  3 |             [anglican.runtime :refer [normal flip]]))
  4 | 
  5 | ;;; Prior transformation
  6 | 
  7 | ;; (def a (prior-query [y] [theta]
  8 | ;;                     (let [a (sample (normal 0 10))
  9 | ;;                           theta (sample (normal a 20))
 10 | ;;                           b (sample (normal a (* theta theta)))]
 11 | ;;                       (observe (normal (* a theta) (* b b)) y)
 12 | ;;                       [a b])))
 13 | 
 14 | ;; (:source (meta a)) ;; Returns:
 15 | ;; ;; (query [y]
 16 | ;; ;;        (do
 17 | ;; ;;          (let [a (sample (normal 0 10))
 18 | ;; ;;                theta (let [value (sample (normal a 20))]
 19 | ;; ;;                        (if (retrieve (symbol "OPTIM_ARGS")
 20 | ;; ;;                                      (symbol "theta"))
 21 | ;; ;;                          (throw-exception "WARNING: Multiple instances of declaration of optimization variable theta detected!"))
 22 | 
 23 | ;; ;;                        (store (symbol "OPTIM_ARGS")
 24 | ;; ;;                               (symbol "theta")
 25 | ;; ;;                               value)
 26 | 
 27 | ;; ;;                        (if (= (set (keys (retrieve (symbol "OPTIM_ARGS"))))
 28 | ;; ;;                               (set [(symbol "theta")]))
 29 | ;; ;;                          (do
 30 | ;; ;;                            (println "exiting the program early")
 31 | ;; ;;                            (return (map (fn [x] (retrieve (symbol "OPTIM_ARGS") x))
 32 | ;; ;;                                         [(symbol "theta")]))))
 33 | 
 34 | ;; ;;                        value)
 35 | ;; ;;                b (sample (normal a (* theta theta)))]
 36 | ;; ;;            nil
 37 | ;; ;;            [a b])
 38 | ;; ;;          (map (fn [x] (retrieve (symbol "OPTIM_ARGS") x)) [(symbol "theta")])))
 39 | 
 40 | ;;; Acq transformation
 41 | 
 42 | ;; (def c (acq-query [y] [theta]
 43 | ;;         (let [a (sample (normal 0 10))
 44 | ;;               theta (sample (normal a 20))
 45 | ;;               b (sample (normal a (* theta theta)))]
 46 | ;;           (observe (normal (* a theta) (* b b)) y)
 47 | ;;           [a b])))
 48 | 
 49 | ;; (:source (meta c)) ; Returns:
 50 | ;; ;; (query [y ACQ_F]
 51 | ;; ;;        (do (let [a (sample (normal 0 10))
 52 | ;; ;;                  theta (let [value (sample (normal a 20))]
 53 | ;; ;;                          (if (retrieve (symbol "OPTIM_ARGS")
 54 | ;; ;;                                        (symbol "theta"))
 55 | ;; ;;                            (throw-exception "WARNING: Multiple instances of declaration of optimization variable theta detected!"))
 56 | 
 57 | ;; ;;                          (store (symbol "OPTIM_ARGS")
 58 | ;; ;;                                 (symbol "theta")
 59 | ;; ;;                                 value)
 60 | 
 61 | ;; ;;                          (if (= (set (keys (retrieve (symbol "OPTIM_ARGS"))))
 62 | ;; ;;                                 (set [(symbol "theta")]))
 63 | ;; ;;                            (do (println "exiting the program early")
 64 | ;; ;;                              (return
 65 | ;; ;;                               (do
 66 | ;; ;;                                 (observe (factor) (ACQ_F (map (fn [x] (retrieve (symbol "OPTIM_ARGS") x)) [(symbol "theta")])))
 67 | ;; ;;                                 (map (fn [x] (retrieve (symbol "OPTIM_ARGS") x))
 68 | ;; ;;                                      [(symbol "theta")])))))
 69 | 
 70 | ;; ;;                          value)
 71 | ;; ;;                  b (sample (normal a (* theta theta)))]
 72 | ;; ;;              nil
 73 | ;; ;;              [a b])
 74 | ;; ;;          (observe (factor) (ACQ_F (map (fn [x] (retrieve (symbol "OPTIM_ARGS") x)) [(symbol "theta")])))
 75 | ;; ;;          (map (fn [x] (retrieve (symbol "OPTIM_ARGS") x)) [(symbol "theta")])))
 76 | 
 77 | ;;; MMAP transformation
 78 | 
 79 | ;; (def d (mmap-query [y] [theta]
 80 | ;;                    (let [a (sample (normal 0 10))
 81 | ;;                          c (sample (normal a 20))
 82 | ;;                          b (sample (normal a (* c c)))
 83 | ;;                          d (let [theta (sample (normal a (* b c)))]
 84 | ;;                              theta)]
 85 | ;;                      (observe (normal (* a d) (* b b)) y)
 86 | ;;                      [a b])))
 87 | 
 88 | ;; (:source (meta d))
 89 | 
 90 | ;;; ML2 transformation
 91 | 
 92 | ;; (def e (ml2-query [y] [theta]
 93 | ;;                    (if (sample (flip 0.3))
 94 | ;;                      (let [a (sample (normal 0 1))
 95 | ;;                            theta (sample (normal a 1))]
 96 | ;;                        (observe (normal a (* theta theta)) 1)
 97 | ;;                        a)
 98 | ;;                      (let [a (sample (normal 0 12))
 99 | ;;                            theta (sample (normal a 21))]
100 | ;;                        (observe (normal a (* theta theta)) 31)
101 | ;;                        theta))))
102 | 
103 | ;; (meta e)
104 | 
105 | 
106 | 


--------------------------------------------------------------------------------
/worksheets/hmm.clj:
--------------------------------------------------------------------------------
  1 | ;; gorilla-repl.fileformat = 1
  2 | 
  3 | ;; **
  4 | ;;; # Hidden Markov Model with Unknown Number of States
  5 | ;; **
  6 | 
  7 | ;; @@
  8 | (ns worksheets.hmm
  9 |     (:require [gorilla-plot.core :as plot]
 10 |            [anglican.core :refer [doquery]]
 11 |            [bopp.core :refer :all]
 12 |            [bopp.helper-functions :refer [argmax]]
 13 |            [clojure-csv.core :refer :all]
 14 |            [clojure.data.csv :as csv]
 15 |            [clojure.java.io :as io]
 16 |            [clojure.core.matrix :as m]
 17 |            [clojure.data.json :as json])
 18 |   (:use
 19 |     clojure.repl
 20 |         [anglican
 21 |           runtime
 22 |           emit
 23 |           smc
 24 |           pcascade
 25 |           stat
 26 |           [state :only [get-result get-log-weight]]
 27 |           [inference :only [log-marginal rand-roulette]]]))
 28 | ;; @@
 29 | 
 30 | ;; **
 31 | ;;; ## The Problem
 32 | ;;; 
 33 | ;;; We consider a hidden Markov model (HMM) with an unknown number of states.  This example demonstrates how BOPP can be applied to models which conceptually have an unknown number of variables, by generating all possible variables that might be needed, but then leaving some variables unused for some execution traces.  This avoids problems of varying base measures so that the MMAP problem is well defined  and provides a function with a fixed number of inputs as required by the BO scheme.  From the BO perspective, the target function is simply constant for variations in an unused variable.
 34 | ;;; 
 35 | ;;; HMMs are Markovian state space models with discrete latent variables.  Each latent state @@x\_t \in\{1,\dots,K\}, t=1,\dots,T@@ is defined conditionally on @@x\_{t-1}@@ through a set of discrete transition probabilities, whilst each output @@y\_t\in\mathbb{R}@@ is considered to be generated i.i.d. given @@x\_t@@.  We consider the following HMM, in which the number of states @@K@@, is also a random variable:
 36 | ;;; 
 37 | ;;; @@\begin{align}
 38 | ;;; K & \sim \text{Discrete}\{1,2,3,4,5\} \\\\
 39 | ;;; T\_k &\sim \text{Dirichlet}\\{{1}\_{1:K}\\}, \quad \forall k=1,\dots,K \\\\
 40 | ;;; \phi\_k &\sim \text{Uniform}[0,1], \quad \forall k=1,\dots,K \\\\
 41 | ;;; \mu\_0 &\leftarrow \min \\{y\_{1:T}\\} \\\\
 42 | ;;; \mu\_k &\leftarrow \mu\_{k-1}+\phi\_k \cdot (\max \\{y\_{1:T}\\} -\mu\_{k-1}), \quad \forall k=1,\dots,K \\\\
 43 | ;;; x\_1 &\leftarrow 1 \\\\
 44 | ;;; x\_t | x\_{t-1} &\sim \text{Discrete}\\{T\_{x\_{t-1}}\\} \\\\
 45 | ;;; y\_t | x\_t &\sim\mathcal{N}(\mu(x\_{t-1}),0.2).
 46 | ;;; \end{align}@@
 47 | ;;; 
 48 | ;;; Our experiment is based on applying BOPP to the above model to do MMAP estimation with a single synthetic dataset, generated using @@K=3, \;\mu\_1 = -1, \;\mu\_2 = 0, \;\mu\_3 = 4, \;T\_1 = [0.9,0.1,0], \;T\_2=[0.2,0.75,0.05]@@ and @@T\_3=[0.1,0.2,0.7]@@.  Lets first first load the data and set the known parameters.
 49 | ;;; 
 50 | ;; **
 51 | 
 52 | ;; @@
 53 | (defn hmm-data [n]
 54 |   (let [ground-truth-x (mapv read-string
 55 |                              (into []
 56 |                                    (flatten
 57 |                                     (csv/read-csv
 58 |                                      (slurp
 59 |                                       (io/reader
 60 |                                        (io/resource (str "data/hmm/gt_x" n ".csv"))))))))
 61 |         y (mapv read-string
 62 |                 (into []
 63 |                       (flatten
 64 |                        (csv/read-csv
 65 |                         (slurp
 66 |                          (io/reader
 67 |                           (io/resource (str "data/hmm/y" n ".csv"))))))))]
 68 |     [ground-truth-x y]))
 69 | 
 70 | (def T 500)
 71 | 
 72 | (def observations (take T (second (hmm-data 1))))
 73 | 
 74 | (defn index->ind
 75 |   "converts a collection of indices to a matrix of indicator vectors"
 76 |   [values]
 77 |   (let [max-v (reduce max values)
 78 |     	zero-vec (into [] (repeat (inc max-v) 0))]
 79 |     (m/matrix (map #(assoc zero-vec % 1) values))))
 80 | 
 81 | (defn square
 82 |   [x]
 83 |   (m/mul x x))
 84 | 
 85 | (def sig 0.2)
 86 | ;; @@
 87 | 
 88 | ;; **
 89 | ;;; ## Solution using BOPP
 90 | ;;; 
 91 | ;;; We now use BOPP to optimize both the number of states @@K@@ and the stick-breaking parameters @@\phi_k@@, with full inference performed on the other parameters.  BOPP therefore aims to maximize
 92 | ;;; 
 93 | ;;; @@\begin{align}
 94 | ;;; p(K,\phi\_{k=1:5}|y\_{t=1:T}) = \iint p(K,\phi\_{k=1:5},x\_{t=1:T},T\_{k=1:K}|y\_{t=1:T}) \mathrm{d}x\_{t=1:T} \mathrm{d}T\_{k=1:K}.
 95 | ;;; \end{align}@@
 96 | ;;; 
 97 | ;;; First we define our model using defopt
 98 | ;; **
 99 | 
100 | ;; @@
101 | (defopt hmm-simple-opt
102 |   []
103 |   [n-states phi1 phi2 phi3 phi4 phi5]
104 |   (let [opt-min (apply min observations)
105 |         opt-max (apply max observations)
106 |         n-states (sample (uniform-discrete 1 6))
107 |         init-dist (discrete (apply conj [1] (repeat (dec  n-states) 0)))
108 |         trans-dist-mem (mem (fn [n] (discrete (sample (dirichlet (into [] (repeat n-states 1)))))))
109 | 
110 |         phi1 (sample (uniform-continuous 0 1))
111 |         phi2 (sample (uniform-continuous 0 1))
112 |         phi3 (sample (uniform-continuous 0 1))
113 |         phi4 (sample (uniform-continuous 0 1))
114 |         phi5 (sample (uniform-continuous 0 1))
115 | 
116 |         mus (let [left (- 1 phi1)
117 |                   mu1 phi1]
118 |              (if (< n-states 2)
119 |                [mu1]
120 |                (let [diff2 (* phi2 left)
121 |                      left (- left diff2)
122 |                      mu2 (- 1 left)]
123 |                  (if (< n-states 3)
124 |                    [mu1 mu2]
125 |                    (let [diff3 (* phi3 left)
126 |                          left (- left diff3)
127 |                          mu3 (- 1 left)]
128 |                      (if (< n-states 4)
129 |                        [mu1 mu2 mu3]
130 |                        (let [diff4 (* phi4 left)
131 |                              left (- left diff4)
132 |                              mu4 (- 1 left)]
133 |                          (if (< n-states 5)
134 |                            [mu1 mu2 mu3 mu4]
135 |                            (let [diff5 (* phi5 left)
136 |                                  left (- left diff5)
137 |                                  mu5 (- 1 left)]
138 |                              [mu1 mu2 mu3 mu4 mu5])))))))))
139 |         mus (map #(+ opt-min (* % (- opt-max opt-min))) mus)]
140 |    ;; Return states, n-states, mus and transition distribution
141 |   {:states
142 |     (reduce
143 |       (fn [states obs]
144 |         (let [state (sample (trans-dist-mem (peek states)))]
145 |           (observe (normal (nth mus state) sig) obs)
146 |           (conj states state)))
147 |       [(sample init-dist)]
148 |       observations)
149 |    :n-states n-states
150 |    :mus mus
151 |    :transition-dist {0 (trans-dist-mem 0)
152 |                      1 (trans-dist-mem 1)
153 |                      2 (trans-dist-mem 2)
154 |                      3 (trans-dist-mem 3)
155 |                      4 (trans-dist-mem 4)}}))
156 | ;; @@
157 | 
158 | ;; **
159 | ;;; Now we carry out the MMAP estimation by calling BOPP
160 | ;; **
161 | 
162 | ;; @@
163 | (def samples (->> (doopt :pcascade
164 |                          hmm-simple-opt
165 |                          []
166 |                          200 ;; Number of particles
167 |                          :bo-options {:verbose 1}
168 |                          :inf-options {:number-of-threads 400 :number-of-particles 200})
169 |                 (take 50) ;; Number of optimization iterations to do
170 |                 doall
171 |                 (mapv #(take 2 %))))
172 | ;; @@
173 | 
174 | ;; @@
175 | samples
176 | ;; @@
177 | 
178 | ;; @@
179 | 
180 | ;; @@
181 | 


--------------------------------------------------------------------------------
/worksheets/opt.clj:
--------------------------------------------------------------------------------
  1 | ;; gorilla-repl.fileformat = 1
  2 | 
  3 | ;; **
  4 | ;;; # Optimization Benchmarks
  5 | ;; **
  6 | 
  7 | ;; @@
  8 | (ns worksheets.opt
  9 |   (:require [gorilla-plot.core :as plot]
 10 |             [clojure.core.matrix :as mat]
 11 |             [bopp.core :refer :all])
 12 |   (:use [anglican runtime emit]))
 13 | ;; @@
 14 | ;; =>
 15 | ;;; {"type":"html","content":"nil","value":"nil"}
 16 | ;; <=
 17 | 
 18 | ;; **
 19 | ;;; In this worksheet we consider simply using BOPP as an optimizer on some classic Bayesian optimization benchmark problems.  Results for some popular packages on the same problems are presented in the paper.
 20 | ;; **
 21 | 
 22 | ;; @@
 23 | (defdist factor
 24 |   []
 25 |   (sample* [this] 0)
 26 |   (observe* [this value] value))
 27 | ;; @@
 28 | ;; =>
 29 | ;;; {"type":"html","content":"#multifn[print-method 0x1d79a227]","value":"#multifn[print-method 0x1d79a227]"}
 30 | ;; <=
 31 | 
 32 | ;; **
 33 | ;;; ## Branin
 34 | ;; **
 35 | 
 36 | ;; **
 37 | ;;; @@f(x) = -\left(x\_2-\frac{5.1}{4\pi^2}x\_1^2+\frac{5}{\pi}x\_1-6\right)^2-10(1-\frac{1}{8\pi}\cos(x\_1))-10@@
 38 | ;;; 
 39 | ;;; Bounds @@-5 \le x\_1 \le 10@@ and @@0 \le x\_2 \le 15@@.
 40 | ;;; 
 41 | ;;; There are three global maximum, @@f(x^\*) = -0.397887@@ at @@x^\* = (-\pi,12,1275), (\pi,2.275) ~\rm{and}~ (9.42478,2.475)@@.
 42 | ;; **
 43 | 
 44 | ;; **
 45 | ;;; First lets define the problem.
 46 | ;; **
 47 | 
 48 | ;; @@
 49 | (with-primitive-procedures [factor]
 50 |   (defopt branin-opt [] [x1 x2]
 51 |    (let [x1 (sample (uniform-continuous -5 10))
 52 |          x2 (sample (uniform-continuous 0 15))
 53 |          t1 (- (+ (- x2 (* (pow x1 2) (/ 5.1 (* 4 (pow Math/PI 2)))))
 54 |                   (* x1 (/ 5 Math/PI)))
 55 |                6)
 56 |          t2 (* 10
 57 |                (- 1 (/ 1 (* 8 Math/PI)))
 58 |                (cos x1))]
 59 |      (observe (factor) (+ (pow t1 2) t2 10)))))
 60 | ;; @@
 61 | ;; =>
 62 | ;;; {"type":"html","content":"#'worksheets.opt/branin-opt","value":"#'worksheets.opt/branin-opt"}
 63 | ;; <=
 64 | 
 65 | ;; **
 66 | ;;; Now we can run BOPP in a single simple call and collect the results.  Note performance is likely to be worse than the paper as we are using the default lightweight options setup rather than the more careful one from the paper.
 67 | ;; **
 68 | 
 69 | ;; @@
 70 | (def branin-samples (->> (doopt :importance 
 71 |                                 branin-opt 
 72 |                                 [] 
 73 |                                 1 
 74 |                                 :bo-options {:verbose 1 
 75 |                                              :b-deterministic true}
 76 |                                 :opt-type :risk-minimization)
 77 |                 		 (take 100) ;; Number of optimization iterations to do
 78 |                 		 doall
 79 |                 		 (mapv #(take 2 %))))
 80 | ;; @@
 81 | 
 82 | ;; @@
 83 | branin-samples
 84 | ;; @@
 85 | 
 86 | ;; **
 87 | ;;; ## Hartmann 6D
 88 | ;; **
 89 | 
 90 | ;; **
 91 | ;;; @@\begin{align}
 92 | ;;; f(x) &= -\sum\_{i=1}^{4} \alpha\_i \exp \left(-\sum\_{j=1}^{6} A\_{i,j}(x\_j-P\_{i,j})^2\right), \quad \rm{where} \\\\
 93 | ;;; \alpha &= (1,1.2,3,3.2)^T \\\\
 94 | ;;; A &= \left(\begin{matrix}
 95 | ;;; 10 & 3 & 17 & 3.5 & 1.6 & 8 \\\\
 96 | ;;; 0.05 & 10 & 17 & 0.1 & 8 & 14 \\\\
 97 | ;;; 3 & 3.5 & 1.7 & 10 & 17 & 8 \\\\
 98 | ;;; 17 & 8 & 0.05 & 10 & 0.1 & 14
 99 | ;;; \end{matrix}\right) \\\\
100 | ;;; P &= 10^{-4} \left(
101 | ;;; \begin{matrix}
102 | ;;; 1312 & 1696 & 5569 & 124 & 8283 & 5886\\\\
103 | ;;; 2329 & 4135 & 8307 & 3736 & 1004 & 9991 \\\\
104 | ;;; 2358 & 1451 & 3522 & 2883 & 3047 & 6650 \\\\
105 | ;;; 4047 & 8828 & 8732 & 5743 & 1091 & 381
106 | ;;; \end{matrix}
107 | ;;; \right)
108 | ;;; \end{align}@@
109 | ;;; 
110 | ;;; Bounds @@0 \le x\_i \le 1, \; \forall i \in \\{1,\dots,6\\}@@
111 | ;;; 
112 | ;;; The function has 6 local minima and one global minima at
113 | ;;; @@\begin{align}
114 | ;;; x^\* &= (0.20169,0.150011,0.476874,0.275332,0.311652,0.6573),
115 | ;;; \end{align}@@
116 | ;;; with @@f(x^\*) = -3.32237@@.  
117 | ;; **
118 | 
119 | ;; @@
120 | (def A
121 |   [[10 3 17 3.5 1.7 8]
122 |    [0.05 10 17 0.1 8 14]
123 |    [3 3.5 1.7 10 17 8]
124 |    [17 8 0.05 10 0.1 14]])
125 | 
126 | (def P
127 |   [[0.1312 0.1696 0.5569 0.0124 0.8283 0.5886]
128 |    [0.2329 0.4135 0.8307 0.3736 0.1004 0.9991]
129 |    [0.2348 0.1451 0.3522 0.2883 0.3047 0.6650]
130 |    [0.4047 0.8828 0.8732 0.5743 0.1091 0.0381]])
131 | 
132 | (def alpha
133 |   [1 1.2 3 3.2])
134 | 
135 | (defn hartmann-6d [x1 x2 x3 x4 x5 x6]
136 |   (let [x [x1 x2 x3 x4 x5 x6]
137 |         dxP (mat/pow
138 |              (mat/sub P x)
139 |              2)
140 |         terms (mat/transpose
141 |                (mat/mul A dxP))
142 |         terms-reduced (reduce mat/add terms)
143 |         exp-terms (mat/exp
144 |                    (mat/sub 0 terms-reduced))
145 |         f (- 0
146 |              (reduce + (mat/mul alpha exp-terms)))]
147 |     f))
148 | 
149 | (with-primitive-procedures [factor hartmann-6d]
150 |  (defopt hartmann-opt [] [x1 x2 x3 x4 x5 x6]
151 |    (let [x1 (sample (uniform-continuous 0 1))
152 |          x2 (sample (uniform-continuous 0 1))
153 |          x3 (sample (uniform-continuous 0 1))
154 |          x4 (sample (uniform-continuous 0 1))
155 |          x5 (sample (uniform-continuous 0 1))
156 |          x6 (sample (uniform-continuous 0 1))
157 |          f (hartmann-6d x1 x2 x3 x4 x5 x6)]
158 |      (observe (factor) f))))
159 | ;; @@
160 | ;; =>
161 | ;;; {"type":"html","content":"#'worksheets.opt/hartmann-opt","value":"#'worksheets.opt/hartmann-opt"}
162 | ;; <=
163 | 
164 | ;; **
165 | ;;; Again its a simple call to use BOPP.
166 | ;; **
167 | 
168 | ;; @@
169 | (def hartmann6d-samples (->> (doopt :importance 
170 |                                 hartmann-opt
171 |                                 [] 
172 |                                 1 
173 |                                 :bo-options {:verbose 1 
174 |                                              :b-deterministic true}
175 |                                 :opt-type :risk-minimization)
176 |                 		 (take 100) ;; Number of optimization iterations to do
177 |                 		 doall
178 |                 		 (mapv #(take 2 %))))
179 | ;; @@
180 | 
181 | ;; @@
182 | hartmann6d-samples
183 | ;; @@
184 | 


--------------------------------------------------------------------------------
/worksheets/simple_bimodal.clj:
--------------------------------------------------------------------------------
 1 | ;; gorilla-repl.fileformat = 1
 2 | 
 3 | ;; **
 4 | ;;; # Simple Bimodal Modal
 5 | ;; **
 6 | 
 7 | ;; @@
 8 | (ns examples.simple-bimodal
 9 |   (require [bopp.core :refer :all]
10 |            [anglican.runtime :refer :all]))
11 | ;; @@
12 | ;; =>
13 | ;;; {"type":"html","content":"nil","value":"nil"}
14 | ;; <=
15 | 
16 | ;; **
17 | ;;; In this simple example, we demonstrate the ability of BOPP to carry out unbounded optimization on a 1D problem with a significant prior-posterior mismatch, namely @@p \left(\theta\right)={\rm Normal}(0, 0.5)@@ and @@p \left(Y|\theta\right)={\rm Normal}(5-\left|\theta\right|,0.5)@@ where we want to optimize @@p(\theta | Y)@@ with respec to @@\theta@@.  This requires BOPP to adapt to the target and effectively establish maxima in the presence of multiple modes.  It should be noted that this is a deterministic optimization problem.
18 | ;; **
19 | 
20 | ;; @@
21 | (defopt simple-bimodal [y] [theta]
22 |   (let [theta (sample (normal 0 0.5))]
23 |     (observe
24 |      (normal (sqrt (* theta theta)) 0.5) y)))
25 | ;; @@
26 | ;; =>
27 | ;;; {"type":"html","content":"#'examples.simple-bimodal/simple-bimodal","value":"#'examples.simple-bimodal/simple-bimodal"}
28 | ;; <=
29 | 
30 | ;; @@
31 | (def samples (->> (doopt :importance 
32 |                          simple-bimodal
33 |                          [5]
34 |                          1 ;; Number of particles
35 |                          :bo-options {:verbose 1})
36 |                 (take 50) ;; Number of optimization iterations to do
37 |                 doall
38 |                 (mapv #(take 2 %))))
39 | ;; @@
40 | 
41 | ;; @@
42 | samples
43 | ;; @@
44 | 


--------------------------------------------------------------------------------