From b7c9178ae7d63965e02a4730dd9b1780d8505a6d Mon Sep 17 00:00:00 2001 From: Douglas R Miles Date: Sat, 15 Apr 2023 05:49:30 -0700 Subject: [PATCH] almost_a61ba2ce_A --- .../swipl/library/dialect/sicstus/arrays.pl | 12 +- logicmoo_workspace.vpj | 78785 +++++++++++++++- .../docs/_build/doctrees/environment.pickle | Bin 66276 -> 81748 bytes .../cplint/docs/_build/doctrees/index.doctree | Bin 503061 -> 482211 bytes packs_lib/cplint/docs/_build/html/.buildinfo | 2 +- .../docs/_build/html/_sources/index.rst.txt | 105 +- .../cplint/docs/_build/html/_static/basic.css | 322 +- .../docs/_build/html/_static/classic.css | 13 +- .../docs/_build/html/_static/doctools.js | 24 +- .../html/_static/documentation_options.js | 4 +- .../cplint/docs/_build/html/_static/jquery.js | 6 +- .../docs/_build/html/_static/language_data.js | 6 +- .../docs/_build/html/_static/pygments.css | 7 +- .../docs/_build/html/_static/searchtools.js | 115 +- .../docs/_build/html/_static/sidebar.js | 2 +- 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.../kaggle_arc/induction/h_muarc_metagol.pl | 257 + .../prolog/kaggle_arc/kaggle_arc.pl | 50 +- .../prolog/kaggle_arc/kaggle_arc_boards.pl | 152 +- .../prolog/kaggle_arc/kaggle_arc_db.pl | 2 +- .../kaggle_arc/kaggle_arc_domaintypes.pl | 4 +- .../kaggle_arc/kaggle_arc_explaination.pl | 1 + .../prolog/kaggle_arc/kaggle_arc_grid_size.pl | 47 +- .../kaggle_arc/kaggle_arc_heuristics.pl | 171 + .../prolog/kaggle_arc/kaggle_arc_imageproc.pl | 68 +- .../kaggle_arc/kaggle_arc_individuation.pl | 576 +- .../kaggle_arc_individuation_pbox.pl | 2 +- .../kaggle_arc/kaggle_arc_interpreter.pl | 21 +- .../prolog/kaggle_arc/kaggle_arc_learning.pl | 33 +- .../prolog/kaggle_arc/kaggle_arc_object.pl | 192 +- .../prolog/kaggle_arc/kaggle_arc_physics.pl | 101 +- .../kaggle_arc/kaggle_arc_precompiler.pl | 9 +- .../kaggle_arc/kaggle_arc_prior_groups.pl | 1204 +- .../prolog/kaggle_arc/kaggle_arc_recognise.pl | 4 +- .../prolog/kaggle_arc/kaggle_arc_reduce.pl | 68 +- .../prolog/kaggle_arc/kaggle_arc_symmetry.pl | 2 +- .../prolog/kaggle_arc/kaggle_arc_test_favs.pl | 67 +- .../kaggle_arc/kaggle_arc_test_iface.pl | 78 +- .../kaggle_arc/kaggle_arc_test_loader.pl | 2 + .../prolog/kaggle_arc/kaggle_arc_two.pl | 6 +- .../prolog/kaggle_arc/kaggle_arc_ui_ansi.pl | 47 +- .../kaggle_arc/kaggle_arc_uniqueness.pl | 452 + .../prolog/kaggle_arc/kaggle_arc_utils.pl | 4 +- .../logicmoo_utils/prolog/debuggery/first.pl | 10 +- .../logicmoo_utils/prolog/debuggery/rtrace.pl | 18 +- .../prolog/logicmoo/no_repeats.pl | 18 +- 123 files changed, 87697 insertions(+), 8617 deletions(-) diff --git a/docker/rootfs/usr/local/lib/swipl/library/dialect/sicstus/arrays.pl b/docker/rootfs/usr/local/lib/swipl/library/dialect/sicstus/arrays.pl index af3c7f7598..6125d8390a 100644 --- a/docker/rootfs/usr/local/lib/swipl/library/dialect/sicstus/arrays.pl +++ b/docker/rootfs/usr/local/lib/swipl/library/dialect/sicstus/arrays.pl @@ -59,6 +59,12 @@ new_array(array(Array)) :- rb_empty(Array). + +arb_lookup(Index, array(Tree), ListElement):- + catch(rb_lookup(Index, array(Tree), ListElement),_,fail),!. +arb_lookup(Index, array(Tree), ListElement):- + catch(rb_lookup(Index, Tree, ListElement),_,fail),!. + %% is_array(@Term) is semidet. % % True if Term is an array @@ -77,7 +83,7 @@ % @compat SICStus-3 aref(Index, array(Tree), Element) :- - rb_lookup(Index, array(Tree), Element). + arb_lookup(Index, array(Tree), Element). %% arefa(+Index, +Array, -ArrayElement) is det. % @@ -87,7 +93,7 @@ % @compat SICStus-3 arefa(Index, array(Tree), ArrayElement) :- - rb_lookup(Index, array(Tree), ArrayElement), !. + arb_lookup(Index, array(Tree), ArrayElement), !. arefa(_, _, Array) :- new_array(Array). @@ -99,7 +105,7 @@ % @compat SICStus-3 arefl(Index, array(Tree), ListElement) :- - rb_lookup(Index, array(Tree), ListElement), !. + arb_lookup(Index, array(Tree), ListElement), !. arefl(_, _, []). %% array_to_list(+Array, -Pairs) is det. diff --git a/logicmoo_workspace.vpj b/logicmoo_workspace.vpj index 3aa17780ca..e48da9806c 100644 --- a/logicmoo_workspace.vpj +++ b/logicmoo_workspace.vpj @@ -1277,7 +1277,108 @@ - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -8239,6 +8340,1898 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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zH--TYqkbAwPiA+c!l?PNj9L~aMe}zf+d~0EIL2NqV+i!Dm2r(Bf>q5U823pGLmbBa zDyE)Hfk(zT&Y*pw*!HKvxY>U(Jd>p{rk;2QMul-V#WL=Xz|w1rVTaS-5;66}l`<-9 z+Z)TaKe%DBF@_lq)7Hn-6R*z5m`10NPe`vFA2$sAQE0cG7=}2E>yD`>POwp7T>qa2 zj|z;N73;nops z`$Y^p9Jak5Q%^kdBV!v~`#!c!oP;(0cB8xa+40Yb19O^tTGp;kMbgEb?owrg_b7F> F{y%kLJWv1t diff --git a/packs_lib/cplint/docs/_build/html/.buildinfo b/packs_lib/cplint/docs/_build/html/.buildinfo index 0bd7442377..02e86168a5 100644 --- a/packs_lib/cplint/docs/_build/html/.buildinfo +++ b/packs_lib/cplint/docs/_build/html/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 413f96db706aaf7e6532df4eafb507d2 +config: bef0088245ccd71558ea9f5194c58bcb tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/packs_lib/cplint/docs/_build/html/_sources/index.rst.txt b/packs_lib/cplint/docs/_build/html/_sources/index.rst.txt index 38597e9edc..e2a80e5639 100644 --- a/packs_lib/cplint/docs/_build/html/_sources/index.rst.txt +++ b/packs_lib/cplint/docs/_build/html/_sources/index.rst.txt @@ -9,7 +9,7 @@ cplint on SWISH Manual - SWI-Prolog Version .. toctree:: :maxdepth: 2 - +.. highlight:: cplint Introduction ============ @@ -39,7 +39,9 @@ It requires the packs * `auc `_ * `matrix `_ -They are installed automatically when installing pack `cplint` or can installed manually as :: +They are installed automatically when installing pack `cplint` or can installed manually as + +.. code-block:: console $ swipl ?- pack_install(bddem). @@ -52,7 +54,9 @@ They are installed automatically when installing pack `cplint` or can installed On 32 and 64 bits Linux this should work out of the box. On 64 bits Windows the library must be rebuilt by hand, see the pack page ``_. -You can upgrade the pack with :: +You can upgrade the pack with + +.. code-block:: console $ swipl ?- pack_upgrade(cplint). @@ -61,7 +65,8 @@ Note that the packs on which `cplint` depends are not upgraded automatically in Example of use --------------- -:: + +.. code-block:: console $ cd /cplint/prolog/examples $ swipl @@ -70,7 +75,8 @@ Example of use Testing the installation ------------------------ -:: + +.. code-block:: console $ swipl ?- [library(cplint_test/test)]. @@ -234,6 +240,7 @@ where :code:`Density` is a special atom identifying a probability density on var - :code:`geometric(Var,P)` :code:`Var` follows a geometric distribution with parameter :code:`P` (success probability). - :code:`exponential(Var,Lambda)` :code:`Var` follows an exponential distribution with parameter :code:`Lambda` (rate, or inverse scale). - :code:`pascal(Var,R,P)` :code:`Var` follows an exponential distribution with parameters :code:`R` (number of failures) and :code:`P` (success probability). +- :code:`multinomial(Var,N,P)` :code:`Var` (vector/list of event numbers) follows a multinomial distribution with parameters :code:`N` (number of trials) and :code:`P` (vector/list of event probabilities). For example :: @@ -320,9 +327,9 @@ Distributional Clauses Syntax You can also use the syntax of Distributional Clauses (DC) :cite:`Nitti2016`. Continuous random variables are represented in this case by term whose distribution can be specified with density atoms as in :: - T~Density' := Body. + T~Density := Body. -Here :code:`:=` replaces the implication symbol, :code:`T` is a term and :code:`Density'` is one of the density atoms above without the :code:`Var` argument, because :code:`T` itself represents a random variables. +Here :code:`:=` replaces the implication symbol, :code:`T` is a term and :code:`Density` is one of the density atoms above without the :code:`Var` argument, because :code:`T` itself represents a random variables. In the body of clauses you can use the infix operator :code:`~=` to equate a term representing a random variable with a logical variable or a constant as in :code:`T ~= X`. Internally :code:`cplint` transforms the terms representing random variables into atoms with an extra argument for holding the variable. @@ -337,57 +344,22 @@ If :code:`Body` is empty, as in regular Prolog, the implication symbol :code:`:= The Indian GPA problem from ``_ in distributional clauses syntax (``_) takes the form (`indian_gpadc.pl `_): :: - is_density_A:0.95;is_discrete_A:0.05. - % the probability distribution of GPA scores for American students is - % continuous with probability 0.95 and discrete with probability 0.05 + coin ~ finite([0.95:true,0.05:false]). + agpa ~ beta(8,2) := coin~=true. + american_gpa ~ finite([0.85:4.0,0.15:0.0]) := coin~=false. - agpa(A): beta(A,8,2) :- is_density_A. - % the GPA of American students follows a beta distribution if the - % distribution is continuous + american_gpa ~ val(V) := agpa ~=A, V is A*4.0. - american_gpa(G) : finite(G,[4.0:0.85,0.0:0.15]) :- is_discrete_A. - % the GPA of American students is 4.0 with probability 0.85 and 0.0 - % with - % probability 0.15 if the - % distribution is discrete - - american_gpa(A):- agpa(A0), A is A0*4.0. - % the GPA of American students is obtained by rescaling the value of - % agpa - % to the (0.0,4.0) interval - - is_density_I : 0.99; is_discrete_I:0.01. - % the probability distribution of GPA scores for Indian students is - % continuous with probability 0.99 and discrete with probability - % 0.01 - - igpa(I): beta(I,5,5) :- is_density_I. - % the GPA of Indian students follows a beta distribution if the - % distribution is continuous - - indian_gpa(I): finite(I,[0.0:0.1,10.0:0.9]):- is_discrete_I. - % the GPA of Indian students is 10.0 with probability 0.9 and 0.0 - % with - % probability 0.1 if the - % distribution is discrete - - indian_gpa(I) :- igpa(I0), I is I0*10.0. - % the GPA of Indian students is obtained by rescaling the value - % of igpa - % to the (0.0,4.0) interval - - nation(N) : finite(N,[a:0.25,i:0.75]). - % the nation is America with probability 0.25 and India with - % probability 0.75 - - student_gpa(G):- nation(a),american_gpa(G). - % the GPA of the student is given by american_gpa if the nation is - % America - - student_gpa(G) :- nation(i),indian_gpa(G). - % the GPA of the student is given by indian_gpa if the nation - % is India + coin2 ~ finite([0.99:true,0.01:false]). + igpa ~ beta(5,5) := coin2~=true. + indian_gpa ~ finite([0.1:0.0,0.9:10.0]) := coin2~=false. + + indian_gpa ~ val(V) := igpa ~=A, V is A*10.0. + nation ~ finite([0.25:a,0.75:i]). + + student_gpa ~ val(A) := nation~=a,american_gpa~=A. + student_gpa ~ val(I) := nation~=i,indian_gpa~=I. Semantics ================== @@ -490,7 +462,9 @@ To run a query, you can simply load the Prolog file, for example `coin.pl `_. For example, the :code:`swish-ask.sh` client can be used with bash to download the results for a query in CSV. -The call below downloads a CSV file for the coin example. :: +The call below downloads a CSV file for the coin example + +.. code-block:: console $ bash swish-ask.sh --server=http://cplint.eu e/coin.pl Prob "prob(heads(coin),Prob)" The script can ask queries against Prolog scripts stored in `http://cplint.eu `_ by specifying the script on the commandline. -User defined files stored in :code:`cplint` on SWISH (locations of type `http://cplint.eu/p/coin_user.pl `_) can be directly used, for example: :: +User defined files stored in :code:`cplint` on SWISH (locations of type `http://cplint.eu/p/coin_user.pl `_) can be directly used, for example: + +.. code-block:: console $ bash swish-ask.sh --server=http://cplint.eu coin_user.pl Prob "prob(heads(coin),Prob)" Example programs can be used by specifying the folder portion of the url of the example, as in the first coin example above where the url for the program is ``__. -You can also use an url for the program as in :: +You can also use an url for the program as in + +.. code-block:: console $ bash swish-ask.sh --server=http://cplint.eu \ https://raw.githubusercontent.com/friguzzi/swish/\ master/e/coin.pl Prob "prob(heads(coin),Prob)" Results can be downloaded in JSON using the option :code:`--json-s` or :code:`--json-html`. With the first the output is in a simple string format where Prolog terms are sent using quoted write, the latter serialize responses as HTML strings. -E.g. :: +E.g. + +.. code-block:: console $ bash swish-ask.sh --json-s --server=http://cplint.eu \ coin_user.pl Prob "prob(heads(coin),Prob)" diff --git a/packs_lib/cplint/docs/_build/html/_static/basic.css b/packs_lib/cplint/docs/_build/html/_static/basic.css index 104f076ae8..912859b55d 100644 --- a/packs_lib/cplint/docs/_build/html/_static/basic.css +++ b/packs_lib/cplint/docs/_build/html/_static/basic.css @@ -4,7 +4,7 @@ * * Sphinx stylesheet -- basic theme. * - * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -15,6 +15,12 @@ div.clearer { clear: both; } +div.section::after { + display: block; + content: ''; + clear: left; +} + /* -- relbar ---------------------------------------------------------------- */ div.related { @@ -124,7 +130,7 @@ ul.search li a { font-weight: bold; } -ul.search li div.context { +ul.search li p.context { color: #888; margin: 2px 0 0 30px; text-align: left; @@ -231,6 +237,16 @@ a.headerlink { visibility: hidden; } +a.brackets:before, +span.brackets > a:before{ + content: "["; +} + +a.brackets:after, +span.brackets > a:after { + content: "]"; +} + h1:hover > a.headerlink, h2:hover > a.headerlink, h3:hover > a.headerlink, @@ -261,19 +277,25 @@ p.rubric { font-weight: bold; } -img.align-left, .figure.align-left, object.align-left { +img.align-left, figure.align-left, .figure.align-left, object.align-left { clear: left; float: left; margin-right: 1em; } -img.align-right, .figure.align-right, object.align-right { +img.align-right, figure.align-right, .figure.align-right, object.align-right { clear: right; float: right; margin-left: 1em; } -img.align-center, .figure.align-center, object.align-center { +img.align-center, figure.align-center, .figure.align-center, object.align-center { + display: block; + margin-left: auto; + margin-right: auto; +} + +img.align-default, figure.align-default, .figure.align-default { display: block; margin-left: auto; margin-right: auto; @@ -287,30 +309,41 @@ img.align-center, .figure.align-center, object.align-center { text-align: center; } +.align-default { + text-align: center; +} + .align-right { text-align: right; } /* -- sidebars -------------------------------------------------------------- */ -div.sidebar { +div.sidebar, +aside.sidebar { margin: 0 0 0.5em 1em; border: 1px solid #ddb; - padding: 7px 7px 0 7px; + padding: 7px; background-color: #ffe; width: 40%; float: right; + clear: right; + overflow-x: auto; } p.sidebar-title { font-weight: bold; } +div.admonition, div.topic, blockquote { + clear: left; +} + /* -- topics ---------------------------------------------------------------- */ div.topic { border: 1px solid #ccc; - padding: 7px 7px 0 7px; + padding: 7px; margin: 10px 0 10px 0; } @@ -332,10 +365,6 @@ div.admonition dt { font-weight: bold; } -div.admonition dl { - margin-bottom: 0; -} - p.admonition-title { margin: 0px 10px 5px 0px; font-weight: bold; @@ -346,9 +375,30 @@ div.body p.centered { margin-top: 25px; } +/* -- content of sidebars/topics/admonitions -------------------------------- */ + +div.sidebar > :last-child, +aside.sidebar > :last-child, +div.topic > :last-child, +div.admonition > :last-child { + margin-bottom: 0; +} + +div.sidebar::after, +aside.sidebar::after, +div.topic::after, +div.admonition::after, +blockquote::after { + display: block; + content: ''; + clear: both; +} + /* -- tables ---------------------------------------------------------------- */ table.docutils { + margin-top: 10px; + margin-bottom: 10px; border: 0; border-collapse: collapse; } @@ -358,6 +408,11 @@ table.align-center { margin-right: auto; } +table.align-default { + margin-left: auto; + margin-right: auto; +} + table caption span.caption-number { font-style: italic; } @@ -391,22 +446,34 @@ table.citation td { border-bottom: none; } +th > :first-child, +td > :first-child { + margin-top: 0px; +} + +th > :last-child, +td > :last-child { + margin-bottom: 0px; +} + /* -- figures --------------------------------------------------------------- */ -div.figure { +div.figure, figure { margin: 0.5em; padding: 0.5em; } -div.figure p.caption { +div.figure p.caption, figcaption { padding: 0.3em; } -div.figure p.caption span.caption-number { +div.figure p.caption span.caption-number, +figcaption span.caption-number { font-style: italic; } -div.figure p.caption span.caption-text { +div.figure p.caption span.caption-text, +figcaption span.caption-text { } /* -- field list styles ----------------------------------------------------- */ @@ -433,10 +500,71 @@ table.field-list td, table.field-list th { /* -- hlist styles ---------------------------------------------------------- */ +table.hlist { + margin: 1em 0; +} + table.hlist td { vertical-align: top; } +/* -- object description styles --------------------------------------------- */ + +.sig { + font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace; +} + +.sig-name, code.descname { + background-color: transparent; + font-weight: bold; +} + +.sig-name { + font-size: 1.1em; +} + +code.descname { + font-size: 1.2em; +} + +.sig-prename, code.descclassname { + background-color: transparent; +} + +.optional { + font-size: 1.3em; +} + +.sig-paren { + font-size: larger; +} + +.sig-param.n { + font-style: italic; +} + +/* C++ specific styling */ + +.sig-inline.c-texpr, +.sig-inline.cpp-texpr { + font-family: unset; +} + +.sig.c .k, .sig.c .kt, +.sig.cpp .k, .sig.cpp .kt { + color: #0033B3; +} + +.sig.c .m, +.sig.cpp .m { + color: #1750EB; +} + +.sig.c .s, .sig.c .sc, +.sig.cpp .s, .sig.cpp .sc { + color: #067D17; +} + /* -- other body styles ----------------------------------------------------- */ @@ -460,11 +588,78 @@ ol.upperroman { list-style: upper-roman; } +:not(li) > ol > li:first-child > :first-child, +:not(li) > ul > li:first-child > :first-child { + margin-top: 0px; +} + +:not(li) > ol > li:last-child > :last-child, +:not(li) > ul > li:last-child > :last-child { + margin-bottom: 0px; +} + +ol.simple ol p, +ol.simple ul p, +ul.simple ol p, +ul.simple ul p { + margin-top: 0; +} + +ol.simple > li:not(:first-child) > p, +ul.simple > li:not(:first-child) > p { + margin-top: 0; +} + +ol.simple p, +ul.simple p { + margin-bottom: 0; +} + +dl.footnote > dt, +dl.citation > dt { + float: left; + margin-right: 0.5em; +} + +dl.footnote > dd, +dl.citation > dd { + margin-bottom: 0em; +} + +dl.footnote > dd:after, +dl.citation > dd:after { + content: ""; + clear: both; +} + +dl.field-list { + display: grid; + grid-template-columns: fit-content(30%) auto; +} + +dl.field-list > dt { + font-weight: bold; + word-break: break-word; + padding-left: 0.5em; + padding-right: 5px; +} + +dl.field-list > dt:after { + content: ":"; +} + +dl.field-list > dd { + padding-left: 0.5em; + margin-top: 0em; + margin-left: 0em; + margin-bottom: 0em; +} + dl { margin-bottom: 15px; } -dd p { +dd > :first-child { margin-top: 0px; } @@ -478,6 +673,11 @@ dd { margin-left: 30px; } +dl > dd:last-child, +dl > dd:last-child > :last-child { + margin-bottom: 0; +} + dt:target, span.highlighted { background-color: #fbe54e; } @@ -491,14 +691,6 @@ dl.glossary dt { font-size: 1.1em; } -.optional { - font-size: 1.3em; -} - -.sig-paren { - font-size: larger; -} - .versionmodified { font-style: italic; } @@ -537,6 +729,12 @@ dl.glossary dt { font-style: oblique; } +.classifier:before { + font-style: normal; + margin: 0.5em; + content: ":"; +} + abbr, acronym { border-bottom: dotted 1px; cursor: help; @@ -549,6 +747,10 @@ pre { overflow-y: hidden; /* fixes display issues on Chrome browsers */ } +pre, div[class*="highlight-"] { + clear: both; +} + span.pre { -moz-hyphens: none; -ms-hyphens: none; @@ -556,22 +758,57 @@ span.pre { hyphens: none; } +div[class*="highlight-"] { + margin: 1em 0; +} + td.linenos pre { - padding: 5px 0px; border: 0; background-color: transparent; color: #aaa; } table.highlighttable { - margin-left: 0.5em; + display: block; +} + +table.highlighttable tbody { + display: block; +} + +table.highlighttable tr { + display: flex; } table.highlighttable td { - padding: 0 0.5em 0 0.5em; + margin: 0; + padding: 0; +} + +table.highlighttable td.linenos { + padding-right: 0.5em; +} + +table.highlighttable td.code { + flex: 1; + overflow: hidden; +} + +.highlight .hll { + display: block; +} + +div.highlight pre, +table.highlighttable pre { + margin: 0; +} + +div.code-block-caption + div { + margin-top: 0; } div.code-block-caption { + margin-top: 1em; padding: 2px 5px; font-size: small; } @@ -580,8 +817,14 @@ div.code-block-caption code { background-color: transparent; } -div.code-block-caption + div > div.highlight > pre { - margin-top: 0; +table.highlighttable td.linenos, +span.linenos, +div.highlight span.gp { /* gp: Generic.Prompt */ + user-select: none; + -webkit-user-select: text; /* Safari fallback only */ + -webkit-user-select: none; /* Chrome/Safari */ + -moz-user-select: none; /* Firefox */ + -ms-user-select: none; /* IE10+ */ } div.code-block-caption span.caption-number { @@ -593,21 +836,7 @@ div.code-block-caption span.caption-text { } div.literal-block-wrapper { - padding: 1em 1em 0; -} - -div.literal-block-wrapper div.highlight { - margin: 0; -} - -code.descname { - background-color: transparent; - font-weight: bold; - font-size: 1.2em; -} - -code.descclassname { - background-color: transparent; + margin: 1em 0; } code.xref, a code { @@ -648,8 +877,7 @@ span.eqno { } span.eqno a.headerlink { - position: relative; - left: 0px; + position: absolute; z-index: 1; } diff --git a/packs_lib/cplint/docs/_build/html/_static/classic.css b/packs_lib/cplint/docs/_build/html/_static/classic.css index 1f9c20bcdc..9d965bf9f7 100644 --- a/packs_lib/cplint/docs/_build/html/_static/classic.css +++ b/packs_lib/cplint/docs/_build/html/_static/classic.css @@ -4,7 +4,7 @@ * * Sphinx stylesheet -- classic theme. * - * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -13,6 +13,11 @@ /* -- page layout ----------------------------------------------------------- */ +html { + /* CSS hack for macOS's scrollbar (see #1125) */ + background-color: #FFFFFF; +} + body { font-family: sans-serif; font-size: 100%; @@ -236,8 +241,8 @@ p.admonition-title:after { pre { padding: 5px; - background-color: #eeffcc; - color: #333333; + background-color: unset; + color: unset; line-height: 120%; border: 1px solid #ac9; border-left: none; @@ -250,7 +255,7 @@ code { font-size: 0.95em; } -th { +th, dl.field-list > dt { background-color: #ede; } diff --git a/packs_lib/cplint/docs/_build/html/_static/doctools.js b/packs_lib/cplint/docs/_build/html/_static/doctools.js index ffadbec11f..8cbf1b161a 100644 --- a/packs_lib/cplint/docs/_build/html/_static/doctools.js +++ b/packs_lib/cplint/docs/_build/html/_static/doctools.js @@ -4,7 +4,7 @@ * * Sphinx JavaScript utilities for all documentation. * - * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -29,9 +29,14 @@ if (!window.console || !console.firebug) { /** * small helper function to urldecode strings + * + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL */ jQuery.urldecode = function(x) { - return decodeURIComponent(x).replace(/\+/g, ' '); + if (!x) { + return x + } + return decodeURIComponent(x.replace(/\+/g, ' ')); }; /** @@ -87,14 +92,13 @@ jQuery.fn.highlightText = function(text, className) { node.nextSibling)); node.nodeValue = val.substr(0, pos); if (isInSVG) { - var bbox = span.getBBox(); var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect"); - rect.x.baseVal.value = bbox.x; + var bbox = node.parentElement.getBBox(); + rect.x.baseVal.value = bbox.x; rect.y.baseVal.value = bbox.y; rect.width.baseVal.value = bbox.width; rect.height.baseVal.value = bbox.height; rect.setAttribute('class', className); - var parentOfText = node.parentNode.parentNode; addItems.push({ "parent": node.parentNode, "target": rect}); @@ -284,10 +288,12 @@ var Documentation = { }, initOnKeyListeners: function() { - $(document).keyup(function(event) { + $(document).keydown(function(event) { var activeElementType = document.activeElement.tagName; - // don't navigate when in search box or textarea - if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT') { + // don't navigate when in search box, textarea, dropdown or button + if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT' + && activeElementType !== 'BUTTON' && !event.altKey && !event.ctrlKey && !event.metaKey + && !event.shiftKey) { switch (event.keyCode) { case 37: // left var prevHref = $('link[rel="prev"]').prop('href'); @@ -295,12 +301,14 @@ var Documentation = { window.location.href = prevHref; return false; } + break; case 39: // right var nextHref = $('link[rel="next"]').prop('href'); if (nextHref) { window.location.href = nextHref; return false; } + break; } } }); diff --git a/packs_lib/cplint/docs/_build/html/_static/documentation_options.js b/packs_lib/cplint/docs/_build/html/_static/documentation_options.js index 92d7c067f6..b88a9689a7 100644 --- a/packs_lib/cplint/docs/_build/html/_static/documentation_options.js +++ b/packs_lib/cplint/docs/_build/html/_static/documentation_options.js @@ -3,8 +3,10 @@ var DOCUMENTATION_OPTIONS = { VERSION: '4.5', LANGUAGE: 'None', COLLAPSE_INDEX: false, + BUILDER: 'html', 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Navigation

  • index
    • -
  • cplint 4.5 documentation »
    • +
  • cplint 4.5 documentation »
    • +
  • Index
    • @@ -45,6 +42,7 @@

    Index

    +
    @@ -60,12 +58,13 @@

    Navigation

  • index
    • -
  • cplint 4.5 documentation »
    • +
  • cplint 4.5 documentation »
    • +
  • Index
    • \ No newline at end of file diff --git a/packs_lib/cplint/docs/_build/html/index.html b/packs_lib/cplint/docs/_build/html/index.html index 8671ed1e77..6864caf216 100644 --- a/packs_lib/cplint/docs/_build/html/index.html +++ b/packs_lib/cplint/docs/_build/html/index.html @@ -1,21 +1,20 @@ - + - + - - + + + cplint on SWISH Manual - SWI-Prolog Version — cplint 4.5 documentation - - + + - - - - - - + + + + + @@ -27,7 +26,8 @@

    Navigation

  • index
    • -
  • cplint 4.5 documentation »
    • +
  • cplint 4.5 documentation »
    • +
  • cplint on SWISH Manual - SWI-Prolog Version
    • @@ -36,13 +36,13 @@

    Navigation

    -
    +

    cplint on SWISH Manual - SWI-Prolog Version

    -
    +

    Introduction

    -

    cplint is a suite of programs for reasoning with LPADs/CP-logic programs [VV03][VVB04][VDB06][VDB09]. +

    cplint is a suite of programs for reasoning with LPADs/CP-logic programs [VDB06, VDB09, VV03, VVB04]. It contains modules for both inference and learning.

    cplint is available in three versions, one for Yap Prolog, one for XSB and one for SWI-Prolog. They differ slightly in the features offered. @@ -50,79 +50,79 @@

    Introductionhttp://ds.ing.unife.it/~friguzzi/software/cplint/manual.html and for the XSB version at http://xsb.sourceforge.net/manual2/manual2.pdf.

    cplint on SWISH is a web application for using cplint available at http://cplint.eu.

    -

    -
    +
    +

    Installation

    cplint is distributed as a pack of SWI-Prolog. To install it, use

    -
    ?- pack_install(cplint).
+
    ?- pack_install(cplint).
 
    
 
    
-
    
+
    
 
    Requirements
    
 
    It requires the packs
    
 
    
 
    
 
    They are installed automatically when installing pack cplint or can installed manually as
    
-
    $ swipl
-?- pack_install(bddem).
-?- pack_install(auc).
-?- pack_install(matrix).
+
    $ swipl
+?- pack_install(bddem).
+?- pack_install(auc).
+?- pack_install(matrix).
 
    
 
    
 
    bddem uses a foreign library and contains the library binaries for 32 and 64 bits Linux, MacOs and 64 bits Windows. If you want to recompile the foreign library you can use
    
-
    ?- pack_rebuild(bdeem).
+
    ?- pack_rebuild(bdeem).
 
    
 
    
 
    On 32 and 64 bits Linux this should work out of the box. On 64 bits Windows the library must be rebuilt by hand, see the pack page https://github.com/friguzzi/bddem.
    
 
    You can upgrade the pack with
    
-
    $ swipl
-?- pack_upgrade(cplint).
+
    $ swipl
+?- pack_upgrade(cplint).
 
    
 
    
 
    Note that the packs on which cplint depends are not upgraded automatically in this case so they need to be upgraded manually.
    
-
    
-
    
+
    
+
    
 
    Example of use
    
-
    $ cd <pack>/cplint/prolog/examples
-$ swipl
-?- [coin].
-?- prob(heads(coin),P).
+
    $ cd <pack>/cplint/prolog/examples
+$ swipl
+?- [coin].
+?- prob(heads(coin),P).
 
    
 
    
-
    
-
    
+
    
+
    
 
    Testing the installation
    
-
    $ swipl
-?- [library(cplint_test/test)].
-?- test.
+
    $ swipl
+?- [library(cplint_test/test)].
+?- test.
 
    
 
    
-
    
-
    
+
    
+
    
 
    Datasets
    
 
    Other machine learning datasets are available in pack cplint_datasets.
    
-
    
-
    
+
    +

    Support

    Use the Google group https://groups.google.com/forum/#!forum/cplint.

    -
    -
    -
    + + +

    Syntax

    cplint allows the definition of discrete probability distributions and continuous probability densities.

    -
    +

    Discrete Probability Distributions

    LPAD and CP-logic programs consist of a set of annotated disjunctive clauses. Disjunction in the head is represented with a semicolon and atoms in the head are separated from probabilities by a colon. For the rest, the usual syntax of Prolog is used. A general CP-logic clause has the form:

    -
    h1:p1 ; ... ; hn:pn :- Body.
+
    h1:p1 ; ... ; hn:pn :- Body.
 
    
 
    
 
    where Body is a conjunction of goals as in Prolog.
@@ -130,28 +130,28 @@ 
    Discrete Probability Distributionspi are numeric expressions.
 It is up to the user to ensure that the numeric expressions are legal, i.e. that they sum up to less than one.
 If the clause has an empty body, it can be represented like this:
    
-
    h1:p1 ; ... ; hn:pn.
+
    h1:p1 ; ... ; hn:pn.
 
    
 
    
 
    If the clause has a single head with probability 1, the annotation can be omitted and the clause takes
 the form of a normal prolog clause, i.e.:
    
-
    h1 :- Body.
+
    h1 :- Body.
 
    
 
    
 
    stands for:
    
-
    h1:1 :- Body.
+
    h1:1 :- Body.
 
    
 
    
-
    The coin example [VVB04] is represented as (file coin.pl)
    
-
    heads(Coin):1/2 ; tails(Coin):1/2 :-
-    toss(Coin),\+biased(Coin).
+
    The coin example [VVB04] is represented as (file coin.pl)
    
+
    heads(Coin):1/2 ; tails(Coin):1/2 :-
+    toss(Coin),\+biased(Coin).
 
-heads(Coin):0.6 ; tails(Coin):0.4 :-
-    toss(Coin),biased(Coin).
+heads(Coin):0.6 ; tails(Coin):0.4 :-
+    toss(Coin),biased(Coin).
 
-fair(Coin):0.9 ; biased(Coin):0.1.
+fair(Coin):0.9 ; biased(Coin):0.1.
 
-toss(coin).
+toss(coin).
 
    
 
    
 
    The first clause states that if we toss a coin that is not biased it has equal probability of landing heads and
@@ -165,55 +165,55 @@ 
    Discrete Probability Distributionsprob/2 that computes the probability of an atom,
 thus allowing nested probability computations.
 For example (meta.pl)
    
-
    a:0.2:-
-    prob(b,P),
-    P > 0.2.
+
    a:0.2:-
+    prob(b,P),
+    P > 0.2.
 
    
 
    
 
    is a valid rule.
    
 
    Moreover, the probabilistic annotations can be variables, as in (flexprob.pl)
    
-
    red(Prob):Prob.
+
    red(Prob):Prob.
 
-draw_red(R, G):-
-    Prob is R/(R + G),
-    red(Prob).
+draw_red(R, G):-
+    Prob is R/(R + G),
+    red(Prob).
 
    
 
    
 
    Variables in probabilistic annotations must be ground when resolution reaches the end of the body, otherwise an exception is raised.
    
 
    Alternative ways of specifying probability distribution include
    
-
    A:discrete(Var,D):-Body.
+
    A:discrete(Var,D):-Body.
 
    
 
    
 
    or
    
-
    A:finite(Var,D):-Body.
+
    A:finite(Var,D):-Body.
 
    
 
    
 
    where A is an atom containing variable Var and D is a list of couples Value:Prob assigning probability Prob to Value.
    
 
    Moreover, you can use
    
-
    A:uniform(Var,D):-Body.
+
    A:uniform(Var,D):-Body.
 
    
 
    
 
    where A is an atom containing variable Var and D is a list of values each taking the same probability (1 over the length of D).
    
-
    
+
    
 
    ProbLog Syntax
    
-
    You can also use ProbLog [DRKT07] syntax, so a general clause takes the form
    
-
    p1::h1 ; ... ; pn::hn :- body
+
    You can also use ProbLog [DRKT07] syntax, so a general clause takes the form
    
+
    p1::h1 ; ... ; pn::hn :- body
 
    
 
    
 
    where the \(pi\) are numeric expressions.
    
-
    
-
    
+
    
+
    
 
    PRISM Syntax
    
-
    You can also use PRISM [SK97] syntax, so a program is composed of a set of regular Prolog rules whose body may contain calls to the msw/2 predicate (multi-ary switch).
+
    You can also use PRISM [SK97] syntax, so a program is composed of a set of regular Prolog rules whose body may contain calls to the msw/2 predicate (multi-ary switch).
 A call msw(term,value) means that a random variable associated to term assumes value value.
    
 
    The admissible values for a discrete random variable are specified using facts for the values/2 predicate
 of the form
    
-
    values(T,L).
+
    values(T,L).
 
    
 
    
 
    where T is a term (possibly containing variables) and L is a list of values.
 The distribution over values is specified using directives for set_sw/2 of the form
    
-
    :- set_sw(T,LP).
+
    :- set_sw(T,LP).
 
    
 
    
 
    where T is a term (possibly containing variables) and LP is a list of probability values.
@@ -221,274 +221,241 @@ 
    PRISM Syntaxprism_memoization: if set to true then memoization is performed.
 Its default value is false, i.e., no memoization.
    
 
    For example, the coin example above in PRISM syntax becomes (coinmsw.pl)
    
-
    values(throw(_),[heads,tails]).
-:- set_sw(throw(fair),[0.5,0.5]).
-:- set_sw(throw(biased),[0.6,0.4]).
-values(fairness,[fair,biased]).
-:- set_sw(fairness,[0.9,0.1]).
-res(Coin,R):- toss(Coin),fairness(Coin,Fairness),msw(throw(Fairness),R).
-fairness(_Coin,Fairness) :- msw(fairness,Fairness).
-toss(coin).
-
    
-
    
-
    
-
    
-
    
+
    values(throw(_),[heads,tails]).
+:- set_sw(throw(fair),[0.5,0.5]).
+:- set_sw(throw(biased),[0.6,0.4]).
+values(fairness,[fair,biased]).
+:- set_sw(fairness,[0.9,0.1]).
+res(Coin,R):- toss(Coin),fairness(Coin,Fairness),msw(throw(Fairness),R).
+fairness(_Coin,Fairness) :- msw(fairness,Fairness).
+toss(coin).
+
    
+
    
+
    
+
    +

    Continuous Probability Densities

    cplint handles continuous or integer random variables as well with its sampling inference module. To specify a probability density on an argument Var of an atom A you can used rules of the form

    -
    A:Density:- Body
+
    A:Density:- Body
 
    
 
    
 
    where Density is a special atom identifying a probability density on variable Var and Body
 (optional) is a regular clause body. Allowed Density atoms are
    
 
      
-
    • uniform_dens(Var,L,U): Var is uniformly distributed in [L,U].
      • 
-
    • gaussian(Var,Mean,Variance): Var follows a Gaussian distribution with mean Mean and variance Variance. The distribution can be multivariate if Mean is a list and Variance a list of lists representing the mean vector and the covariance matrix. In this case the values of Var are lists of real values with the same length as that of Mean.
      • 
-
    • dirichlet(Var,Par): Var is a list of real numbers following a Dirichlet distribution with \(\alpha\) parameters specified by the list Par.
      • 
-
    • gamma(Var,Shape,Scale) Var follows a gamma distribution with shape parameter Shape and scale parameter Scale.
      • 
-
    • beta(Var,Alpha,Beta) Var follows a beta distribution with parameters Alpha and Beta.
      • 
-
    • poisson(Var,Lambda) Var follows a Poisson distribution with parameter Lambda (rate).
      • 
-
    • binomial(Var,N,P) Var follows a binomial distribution with parameters N (number of trials) and P (success probability).
      • 
-
    • geometric(Var,P) Var follows a geometric distribution with parameter P (success probability).
      • 
-
    • exponential(Var,Lambda) Var follows an exponential distribution with parameter Lambda (rate, or inverse scale).
      • 
-
    • pascal(Var,R,P) Var follows an exponential distribution with parameters R (number of failures) and P (success probability).
      • 
+
    • uniform_dens(Var,L,U): Var is uniformly distributed in [L,U].
      • 
+
    • gaussian(Var,Mean,Variance): Var follows a Gaussian distribution with mean Mean and variance Variance. The distribution can be multivariate if Mean is a list and Variance a list of lists representing the mean vector and the covariance matrix. In this case the values of Var are lists of real values with the same length as that of Mean.
      • 
+
    • dirichlet(Var,Par): Var is a list of real numbers following a Dirichlet distribution with \(\alpha\) parameters specified by the list Par.
      • 
+
    • gamma(Var,Shape,Scale) Var follows a gamma distribution with shape parameter Shape and scale parameter Scale.
      • 
+
    • beta(Var,Alpha,Beta) Var follows a beta distribution with parameters Alpha and Beta.
      • 
+
    • poisson(Var,Lambda) Var follows a Poisson distribution with parameter Lambda (rate).
      • 
+
    • binomial(Var,N,P) Var follows a binomial distribution with parameters N (number of trials) and P (success probability).
      • 
+
    • geometric(Var,P) Var follows a geometric distribution with parameter P (success probability).
      • 
+
    • exponential(Var,Lambda) Var follows an exponential distribution with parameter Lambda (rate, or inverse scale).
      • 
+
    • pascal(Var,R,P) Var follows an exponential distribution with parameters R (number of failures) and P (success probability).
      • 
+
    • multinomial(Var,N,P) Var (vector/list of event numbers) follows a multinomial distribution with parameters N (number of trials) and P (vector/list of event probabilities).
      • 
 
    
 
    For example
    
-
    g(X): gaussian(X,0, 1).
+
    g(X): gaussian(X,0, 1).
 
    
 
    
 
    states that argument X of g(X) follows a Gaussian distribution with mean 0 and variance 1, while
    
-
    g(X): gaussian(X,[0,0], [[1,0],[0,1]]).
+
    g(X): gaussian(X,[0,0], [[1,0],[0,1]]).
 
    
 
    
 
    states that argument X of g(X) follows a Gaussian multivariate distribution with mean vector [0,0] and covariance matrix \(\begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}\)
    
 
    For example, gaussian_mixture.pl defines a mixture of two Gaussians:
    
-
    heads:0.6;tails:0.4.
-g(X): gaussian(X,0, 1).
-h(X): gaussian(X,5, 2).
-mix(X) :- heads, g(X).
-mix(X) :- tails, h(X).
+
    heads:0.6;tails:0.4.
+g(X): gaussian(X,0, 1).
+h(X): gaussian(X,5, 2).
+mix(X) :- heads, g(X).
+mix(X) :- tails, h(X).
 
    
 
    
 
    The argument X of mix(X) follows a distribution that is a mixture of two Gaussian, one with mean 0 and variance 1 with probability 0.6 and one with mean 5 and variance 2 with probability 0.4.
 The parameters of the distribution atoms can be taken from the probabilistic atom, the example (gauss_mean_est.pl)
    
-
    val(I,X) :-
-    mean(M),
-    val(I,M,X).
-mean(M): gaussian(M,1.0, 5.0).
-val(_,M,X): gaussian(X,M, 2.0).
+
    val(I,X) :-
+    mean(M),
+    val(I,M,X).
+mean(M): gaussian(M,1.0, 5.0).
+val(_,M,X): gaussian(X,M, 2.0).
 
    
 
    
 
    states that for an index I the continuous variable X is sampled from a Gaussian whose variance is 2 and whose mean is sampled from a Gaussian with mean 1 and variance 5.
 Any operation is allowed on continuous random variables.
 The example below (kalman_filter.pl) encodes a Kalman filter:
    
-
    kf(N,O, T) :-
-    init(S),
-    kf_part(0, N, S,O,T).
+
    kf(N,O, T) :-
+    init(S),
+    kf_part(0, N, S,O,T).
 
-kf_part(I, N, S,[V|RO], T) :-
-    I < N,
-    NextI is I+1,
-    trans(S,I,NextS),
-    emit(NextS,I,V),
-    kf_part(NextI, N, NextS,RO, T).
-kf_part(N, N, S, [],S).
+kf_part(I, N, S,[V|RO], T) :-
+    I < N,
+    NextI is I+1,
+    trans(S,I,NextS),
+    emit(NextS,I,V),
+    kf_part(NextI, N, NextS,RO, T).
+kf_part(N, N, S, [],S).
 
-trans(S,I,NextS) :-
-    {NextS =:= E + S},
-    trans_err(I,E).
+trans(S,I,NextS) :-
+    {NextS =:= E + S},
+    trans_err(I,E).
 
-emit(NextS,I,V) :-
-    {NextS =:= V+X},
-    obs_err(I,X).
+emit(NextS,I,V) :-
+    {NextS =:= V+X},
+    obs_err(I,X).
 
-init(S):gaussian(S,0,1).
-trans_err(_,E):gaussian(E,0,2).
-obs_err(_,E):gaussian(E,0,1).
+init(S):gaussian(S,0,1).
+trans_err(_,E):gaussian(E,0,2).
+obs_err(_,E):gaussian(E,0,1).
 
    
 
    
 
    Continuous random variables are involved in arithmetic expressions (in trans/3 and emit/3).
 It is often convenient, as in this case, to use CLP(R) constraints (by including the directive :- use_module(library(clpr)).) as in this way the expressions can be used in multiple directions and the same clauses can be used both to sample and to evaluate the weight of the sample on the basis of evidence, otherwise different clauses have to be written.
 In case random variables are not sufficiently instantiated to exploit expressions for inferring the values of other variables, inference will return an error.
    
 
    Moreover, user defined distributions are allowed with the syntax:
    
-
    A:user(Var,Density):-Body.
+
    A:user(Var,Density):-Body.
 
    
 
    
 
    where Var appears in A and will contain the sampled value and Density is an atom of the form predicate(Parameters).
 If predicate in predicate(Parameters) has arity n, then the user has to define predicate predicate/n+1 such that
    
-
    predicate(Parameters,Var)
+
    predicate(Parameters,Var)
 
    
 
    
 
    called with Parameters instantiated, returns in Var a value sampled from the user defined density.
 The definition of predicate/n+1 should appear after :- end_lpad.
    
 
    If likelihood weighting or particle filtering will be used for inference, then the user has to define also predicate predicate/n+2 such that predicate(Parameters,Var,Dens), when called with Parameters and Var instantiated, returns in Dens the value of the probability density of Var. The definition of predicate/n+2 should appear after :- end_lpad.
    
 
    Moreover, if the density is discrete, the program must include the fact
    
-
    disc(predicate).
+
    disc(predicate).
 
    
 
    
 
    also after :- end_lpad.
 See for example gauss_mean_est_user.pl and binomial.pl
    
-
    
+
    
 
    Distributional Clauses Syntax
    
-
    You can also use the syntax of Distributional Clauses (DC) [NDLDR16].
+
    You can also use the syntax of Distributional Clauses (DC) [NDLDR16].
 Continuous random variables are represented in this case by term whose distribution can be specified with density atoms as in
    
-
    T~Density' := Body.
+
    T~Density := Body.
 
    
 
    
-
    Here := replaces the implication symbol, T is a term and Density' is one of the density atoms above without the Var argument, because T itself represents a random variables.
+
    Here := replaces the implication symbol, T is a term and Density is one of the density atoms above without the Var argument, because T itself represents a random variables.
 In the body of clauses you can use the infix operator ~= to equate a term representing a random variable with a logical variable or a constant as in T ~= X.
 Internally cplint transforms the terms representing random variables into atoms with an extra argument for holding the variable.
    
 
    DC can be used to represent also discrete distributions using
    
-
    T~uniform(L) := Body.
-T~finite(D) := Body.
+
    T~uniform(L) := Body.
+T~finite(D) := Body.
 
    
 
    
 
    where L is a list of values and D is a list of couples P:V with P a probability and V a value.
 If Body is empty, as in regular Prolog, the implication symbol := can be omitted.
    
 
    The Indian GPA problem from http://www.robots.ox.ac.uk/~fwood/anglican/examples/viewer/?worksheet=indian-gpa in distributional clauses syntax
 (https://github.com/davidenitti/DC/blob/master/examples/indian-gpa.pl) takes the form (indian_gpadc.pl):
    
-
    is_density_A:0.95;is_discrete_A:0.05.
-% the probability distribution of GPA scores for American students is
-% continuous with probability 0.95 and discrete with probability 0.05
-
-agpa(A): beta(A,8,2) :- is_density_A.
-% the GPA of American students follows a beta distribution if the
-% distribution is continuous
+
    coin ~ finite([0.95:true,0.05:false]).
+agpa ~ beta(8,2) := coin~=true.
+american_gpa ~ finite([0.85:4.0,0.15:0.0]) := coin~=false.
 
-american_gpa(G) : finite(G,[4.0:0.85,0.0:0.15]) :- is_discrete_A.
-% the GPA of American students is 4.0 with probability 0.85 and 0.0
-% with
-% probability 0.15 if the
-% distribution is discrete
+american_gpa ~ val(V) := agpa ~=A, V is A*4.0.
 
-american_gpa(A):- agpa(A0), A is A0*4.0.
-% the GPA of American students is obtained by rescaling the value of
-% agpa
-% to the (0.0,4.0) interval
+coin2 ~ finite([0.99:true,0.01:false]).
+igpa ~ beta(5,5) := coin2~=true.
+indian_gpa ~ finite([0.1:0.0,0.9:10.0]) := coin2~=false.
 
-is_density_I : 0.99; is_discrete_I:0.01.
-% the probability distribution of GPA scores for Indian students is
-% continuous with probability 0.99 and discrete with probability
-% 0.01
+indian_gpa ~ val(V) := igpa ~=A, V is A*10.0.
 
-igpa(I): beta(I,5,5) :- is_density_I.
-% the GPA of Indian students follows a beta distribution if the
-% distribution is continuous
+nation ~ finite([0.25:a,0.75:i]).
 
-indian_gpa(I): finite(I,[0.0:0.1,10.0:0.9]):-  is_discrete_I.
-% the GPA of Indian students is 10.0 with probability 0.9 and 0.0
-% with
-% probability 0.1 if the
-% distribution is discrete
-
-indian_gpa(I) :- igpa(I0), I is I0*10.0.
-% the GPA of Indian students is obtained by rescaling the value
-% of igpa
-% to the (0.0,4.0) interval
-
-nation(N) : finite(N,[a:0.25,i:0.75]).
-% the nation is America with probability 0.25 and India with
-% probability 0.75
-
-student_gpa(G):- nation(a),american_gpa(G).
-% the GPA of the student is given by american_gpa if the nation is
-% America
-
-student_gpa(G) :- nation(i),indian_gpa(G).
-% the GPA of the student is given by indian_gpa if the nation
-% is India
+student_gpa ~ val(A) := nation~=a,american_gpa~=A.
+student_gpa ~ val(I) := nation~=i,indian_gpa~=I.
 
    
 
    
-
    
-
    
-
    
-
    
+
    
+
    +
    +

    Semantics

    The semantics of LPADs for the case of programs without functions symbols can be given as follows. An LPAD defines a probability distribution over normal logic programs called worlds. A world is obtained from an LPAD by first grounding it, by selecting a single head atom for each ground clause and by including in the world the clause with the selected head atom and the body. The probability of a world is the product of the probabilities associated to the heads selected. The probability of a ground atom (the query) is given by the sum of the probabilities of the worlds where the query is true.

    -

    If the LPAD contains function symbols, the definition is more complex, see [Poo97][SK01]. -For the semantics of programs with continuous random variables, see [IRR12] that defines the probability space for \(N\) continuous random variables by considering the Borel \(\sigma\)-algebra over \(\mathbb{R}^N\) and defines a Lebesgue measure on this set as the probability measure. +

    If the LPAD contains function symbols, the definition is more complex, see [Poo97, SK01]. +For the semantics of programs with continuous random variables, see [IRR12] that defines the probability space for \(N\) continuous random variables by considering the Borel \(\sigma\)-algebra over \(\mathbb{R}^N\) and defines a Lebesgue measure on this set as the probability measure. The probability space is lifted to cover the entire program using the least model semantics of constraint logic programs. -Alternatively, [NDLDR16] defines the semantics of distributional clauses by resorting to a stochastic \(Tp\) operator.

    +Alternatively, [NDLDR16] defines the semantics of distributional clauses by resorting to a stochastic \(Tp\) operator.

    cplint allows more freedom than distributional clauses in the use of continuous random variables in expressions, for example kalman_filter.pl would not be allowed by distributional clauses.

    -
    -
    + +

    Inference

    cplint answers queries using the module pita or mcintyre. -The first performs the program transformation technique of [RS10]. -The latter performs approximate inference by sampling using a different program transformation technique and is described in [Rig13]. +The first performs the program transformation technique of [RS10]. +The latter performs approximate inference by sampling using a different program transformation technique and is described in [Rig13]. Only mcintyre is able to handle continuous random variables.

    For answering queries, you have to prepare a Prolog file where you first load the inference module (for example pita), initialize it with a directive (for example :- pita) and then enclose the LPAD clauses in :-begin_lpad. or :-begin_plp. and :-end_lpad. or :-end_plp. For example, the coin program above can be stored in coin.pl for performing inference with pita as follows

    -
    :- use_module(library(pita)).
-:- pita.
-:- begin_lpad.
-heads(Coin):1/2 ; tails(Coin):1/2:-
-toss(Coin),\+biased(Coin).
+
    :- use_module(library(pita)).
+:- pita.
+:- begin_lpad.
+heads(Coin):1/2 ; tails(Coin):1/2:-
+toss(Coin),\+biased(Coin).
 
-heads(Coin):0.6 ; tails(Coin):0.4:-
-toss(Coin),biased(Coin).
+heads(Coin):0.6 ; tails(Coin):0.4:-
+toss(Coin),biased(Coin).
 
-fair(Coin):0.9 ; biased(Coin):0.1.
+fair(Coin):0.9 ; biased(Coin):0.1.
 
-toss(coin).
-:- end_lpad.
+toss(coin).
+:- end_lpad.
 
    
 
    
 
    The same program for mcintyre is
    
-
    :- use_module(library(mcintyre)).
-:- mc.
-:- begin_lpad.
-heads(Coin):1/2 ; tails(Coin):1/2:-
-toss(Coin),\+biased(Coin).
+
    :- use_module(library(mcintyre)).
+:- mc.
+:- begin_lpad.
+heads(Coin):1/2 ; tails(Coin):1/2:-
+toss(Coin),\+biased(Coin).
 
-heads(Coin):0.6 ; tails(Coin):0.4:-
-toss(Coin),biased(Coin).
+heads(Coin):0.6 ; tails(Coin):0.4:-
+toss(Coin),biased(Coin).
 
-fair(Coin):0.9 ; biased(Coin):0.1.
+fair(Coin):0.9 ; biased(Coin):0.1.
 
-toss(coin).
-:- end_lpad.
+toss(coin).
+:- end_lpad.
 
    
 
    
 
    You can have also (non-probabilistic) clauses outside :-begin/end_lpad.
 These are considered as database clauses.
 In pita subgoals in the body of probabilistic clauses can query them by enclosing the query in db/1.
 For example (testdb.pl)
    
-
    :- use_module(library(pita)).
-:- pita.
-:- begin_lpad.
-sampled_male(X):0.5:-
-db(male(X)).
-:- end_lpad.
-male(john).
-male(david).
+
    :- use_module(library(pita)).
+:- pita.
+:- begin_lpad.
+sampled_male(X):0.5:-
+db(male(X)).
+:- end_lpad.
+male(john).
+male(david).
 
    
 
    
 
    You can also use findall/3 on subgoals defined by database clauses (persons.pl)
    
-
    :- use_module(library(pita)).
-:- pita.
-:- begin_lpad.
+
    :- use_module(library(pita)).
+:- pita.
+:- begin_lpad.
 
-male:M/P; female:F/P:-
-findall(Male,male(Male),LM),
-findall(Female,female(Female),LF),
-length(LM,M),
-length(LF,F),
-P is F+M.
+male:M/P; female:F/P:-
+findall(Male,male(Male),LM),
+findall(Female,female(Female),LF),
+length(LM,M),
+length(LF,F),
+P is F+M.
 
-:- end_lpad.
+:- end_lpad.
 
-male(john).
-male(david).
-female(anna).
-female(elen).
-female(cathy).
+male(john).
+male(david).
+female(anna).
+female(elen).
+female(cathy).
 
    
 
    
 
    Aggregate predicates on probabilistic subgoals are not implemented due to their high computational cost (if the aggregation is over \(n\) atoms, the values of the aggregation are potentially \(2^n\)).
@@ -496,149 +463,149 @@ 
    Inferencemcintyre you can query database clauses in the body of probabilistic clauses without any special syntax.
 You can also use findall/3.
    
 
    To run a query, you can simply load the Prolog file, for example coin.pl, as:
    
-
    ?- [coin].
+
    ?- [coin].
 
    
 
    
-
    or:
    
-
    $ swipl coin.pl
+
    or
    
+
    $ swipl coin.pl
 
    
 
    
-
    
+
    
 
    Unconditional Queries
    
 
    The unconditional probability of an atom can be asked using pita with the predicate
    
-
    prob(:Query:atom,-Probability:float) is nondet
+
    prob(:Query:atom,-Probability:float) is nondet
 
    
 
    
 
    as in
    
-
    ?- prob(heads(coin),P).
+
    ?- prob(heads(coin),P).
 
    
 
    
 
    If the query is non-ground, prob/2 returns in backtracking the successful instantiations together with their probability.
 When using mcintyre, the predicate for querying is
    
-
    mc_prob(:Query:atom,-Probability:float,+Options:list) is det
+
    mc_prob(:Query:atom,-Probability:float,+Options:list) is det
 
    
 
    
 
    where Options is a list of options, the following are recognised by mc_prob/3:
    
 
      
-
    • bar(-BarChar:dict) BarChart is a dict for rendering with c3 as a bar chart with a bar for the number of successes and a bar for the number of failures.
      • 
+
    • bar(-BarChar:dict) BarChart is a dict for rendering with c3 as a bar chart with a bar for the number of successes and a bar for the number of failures.
      • 
 
    
 
    For example
    
-
    ?- mc_prob(heads(coin),P,[]).
+
    ?- mc_prob(heads(coin),P,[]).
 
    
 
    
 
    You can also use
    
-
    mc_prob(:Query:atom,-Probability:float) is det
+
    mc_prob(:Query:atom,-Probability:float) is det
 
    
 
    
 
    which is equivalent to mc_prob/3 with an empty option list.
 In general, all the predicates that admit a list of options as an argument have a corresponding version without the list of options that is equivalent to calling the first with an empty option list.
    
 
    With mcintyre, you can also take a given number of samples with
    
-
    mc_sample(:Query:atom,+Samples:int,-Probability:float, Options:list) is det
+
    mc_sample(:Query:atom,+Samples:int,-Probability:float, Options:list) is det
 
    
 
    
 
    where Options is a list of options, the following are recognised by mc_sample/4:
    
 
      
-
    • successes(-Successes:int) Number of successes
      • 
-
    • failures(-Failures:int) Number of failures
      • 
-
    • bar(-BarChar:dict) BarChart is a dict for rendering with c3 as a bar chart with a bar for the number of successes and a bar for the number of failures.
      • 
+
    • successes(-Successes:int) Number of successes
      • 
+
    • failures(-Failures:int) Number of failures
      • 
+
    • bar(-BarChar:dict) BarChart is a dict for rendering with c3 as a bar chart with a bar for the number of successes and a bar for the number of failures.
      • 
 
    
 
    For example (coinmc.pl)
    
-
    ?- mc_sample(heads(coin),1000,P,[successes(S),failures(F)]).
+
    ?- mc_sample(heads(coin),1000,P,[successes(S),failures(F)]).
 
    
 
    
 
    that samples heads(coin) 1000 times and returns in S the number of successes, in F the number of failures and in P the estimated probability (S/1000).
    
 
    As another example, the call
    
-
    ?- mc_sample(heads(coin),1000,Prob).
+
    ?- mc_sample(heads(coin),1000,Prob).
 
    
 
    
 
    samples heads(coin) 1000 times and returns the estimated probability that a sample is true.
    
 
    You can also sample using Gibbs sampling with
    
-
    mc_gibbs_sample(:Query:atom,+Samples:int,-Probability:float,+Options:list) is det
+
    mc_gibbs_sample(:Query:atom,+Samples:int,-Probability:float,+Options:list) is det
 
    
 
    
 
    where Options is a list of options, the following are recognised by mc_gibbs_sample/4:
    
 
      
-
    • block(+Block:int) Perform blocked Gibbs: Block variables are sampled together, default value 1
      • 
-
    • mix(+Mix:int) The first Mix samples are discarded (mixing time), default value 0
      • 
-
    • successes(-Successes:int) Number of successes
      • 
-
    • failures(-Failures:int) Number of failures
      • 
+
    • block(+Block:int) Perform blocked Gibbs: Block variables are sampled together, default value 1
      • 
+
    • mix(+Mix:int) The first Mix samples are discarded (mixing time), default value 0
      • 
+
    • successes(-Successes:int) Number of successes
      • 
+
    • failures(-Failures:int) Number of failures
      • 
 
    
 
    mc_gibbs_sample/3 is equivalent to mc_gibbs_sample/4 with an empty option list.
    
 
    Moreover, you can sample arguments of queries with
    
-
    mc_sample_arg(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
+
    mc_sample_arg(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
 
    
 
    
 
    The predicate samples Query a number of Samples times. Arg should be a variable in Query.
 The predicate returns in Values a list of couples L-N where L is the list of values of Arg for which Query succeeds in a world sampled at random and N is the number of samples returning that list of values. If L is the empty list, it means that for that sample the query failed.
 If L is a list with a single element, it means that for that sample the query is determinate.
 If, in all couples L-N, L is a list with a single element, it means that the clauses in the program are mutually exclusive, i.e., that in every sample, only one clause for each subgoal has the body true.
-This is one of the assumptions taken for programs of the PRISM system [SK01].
+This is one of the assumptions taken for programs of the PRISM system [SK01].
 For example pcfglr.pl and plcg.pl satisfy this constraint while markov_chain.pl and var_obj.pl doesn’t.
    
 
    Options is a list of options, the following are recognised by mc_sample_arg/5:
    
 
      
-
    • successes(-Successes:int) Number of successes
      • 
-
    • failures(-Failures:int) Number of failures
      • 
-
    • bar(-BarChar:dict) BarChart is a dict for rendering with c3 as a bar chart with with a bar for each possible value of L, the list of values of Arg for which the query succeeds in a world sampled at random. The size of the bar is the number of samples returning that list of values.
      • 
+
    • successes(-Successes:int) Number of successes
      • 
+
    • failures(-Failures:int) Number of failures
      • 
+
    • bar(-BarChar:dict) BarChart is a dict for rendering with c3 as a bar chart with with a bar for each possible value of L, the list of values of Arg for which the query succeeds in a world sampled at random. The size of the bar is the number of samples returning that list of values.
      • 
 
    
 
    An example of use of mc_sample_arg/4 is
    
-
    ?- mc_sample_arg(reach(s0,0,S),50,S,Values).
+
    ?- mc_sample_arg(reach(s0,0,S),50,S,Values).
 
    
 
    
 
    of markov_chain.pl that takes 50 samples of L in findall(S,(reach(s0,0,S),L).
    
 
    You can sample arguments of queries also with
    
-
    mc_sample_arg_raw(:Query:atom,+Samples:int,?Arg:var,-Values:list) is det
+
    mc_sample_arg_raw(:Query:atom,+Samples:int,?Arg:var,-Values:list) is det
 
    
 
    
 
    that samples Query a number of Samples times. The predicate returns in Values a list of values of Arg returned as the first answer by Query in a world sampled at random.
 The value is failure if the query fails.
    
 
    The predicate
    
-
    mc_sample_arg_first(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
+
    mc_sample_arg_first(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
 
    
 
    
 
    samples Query a number of Samples times and returns in Values a list of couples V-N where V is the value of Arg returned as the first answer by Query in a world sampled at random and N is the number of samples returning that value. V is failure if the query fails. mc_sample_arg_first/5 differs from mc_sample_arg/5 because the first just computes the first answer of the query for each sampled world.
    
 
    Options is a list of options, the following are recognised by mc_sample_arg_first/5:
    
 
      
-
    • bar(-BarChar:dict) BarChart has a bar for each value of Arg returned as a first answer for the query in a world sampled at random. The size of the bar is the number of samples that returned that value.
      • 
+
    • bar(-BarChar:dict) BarChart has a bar for each value of Arg returned as a first answer for the query in a world sampled at random. The size of the bar is the number of samples that returned that value.
      • 
 
    
 
    The predicate
    
-
    mc_sample_arg_one(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
+
    mc_sample_arg_one(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
 
    
 
    
 
    samples Query a number of Samples times and returns in Values a list of couples V-N where V is a value sampled with uniform probability from those returned by Query in a world sampled at random and N is the number of samples returning that value.
 V is failure if the query fails.
    
 
    Options is a list of options, the following are recognised by mc_sample_arg_one/5:
    
 
      
-
    • bar(-BarChar:dict) BarChart has a bar for each value of Arg returned by sampling with uniform probability one answer from those returned by the query in a world sampled at random. The size of the bar is the number of samples.
      • 
+
    • bar(-BarChar:dict) BarChart has a bar for each value of Arg returned by sampling with uniform probability one answer from those returned by the query in a world sampled at random. The size of the bar is the number of samples.
      • 
 
    
 
    The predicate
    
-
    mc_gibbs_sample_arg(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
+
    mc_gibbs_sample_arg(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
 
    
 
    
 
    samples an argument of the query using Gibbs sampling.
 The same options as those of mc_gibbs_sample/4 are recognized.
    
 
    Finally, you can compute expectations with
    
-
    mc_expectation(:Query:atom,+N:int,?Arg:var,-Exp:float) is det
+
    mc_expectation(:Query:atom,+N:int,?Arg:var,-Exp:float) is det
 
    
 
    
 
    that computes the expected value of Arg in Query by sampling.
 It takes N samples of Query and sums up the value of Arg for each sample.
 The overall sum is divided by N to give Exp.
    
 
    An example of use of the above predicate is
    
-
    ?- mc_expectation(eventually(elect,T),1000,T,E).
+
    ?- mc_expectation(eventually(elect,T),1000,T,E).
 
    
 
    
 
    of pctl_slep.pl that returns in E the expected value
 of T by taking 1000 samples.
    
 
    The predicate
    
-
    mc_gibbs_expectation(:Query:atom,+N:int,?Arg:var,-Exp:float) is det
+
    mc_gibbs_expectation(:Query:atom,+N:int,?Arg:var,-Exp:float) is det
 
    
 
    
 
    computes an expectation with Gibbs sampling.
    
-
    
+
    
 
    Drawing BDDs
    
 
    With pita, you can obtain the BDD for a query with the predicates
    
-
    bdd_dot_file(:Query:atom,+FileName:string,-Var:list) is nondet
-bdd_dot_string(:Query:atom,-DotString:string,-Var:list) is nondet
+
    bdd_dot_file(:Query:atom,+FileName:string,-Var:list) is nondet
+bdd_dot_string(:Query:atom,-DotString:string,-Var:list) is nondet
 
    
 
    
 
    The first write the BDD to a file, the latter returns it as a string.
@@ -649,49 +616,49 @@ 
    Drawing BDDsVar contains the associations between the rule groundings and the multivalued variables: the first column contains contains the multivalued variable index, the second column contains the rule index, corresponding to its position in the program, and the last column contains the list of constants grounding the rule, each replacing a variable in the order of appearance in the rule.
    
 
    The BDD can be drawn in cplint on SWISH by using the graphviz renderer by including
    
-
    :- use_rendering(graphviz).
+
    :- use_rendering(graphviz).
 
    
 
    
 
    before :- pita.
    
 
    For example (coin.pl)
    
-
    ?- bdd_dot_string(heads(coin),BDD,Var).
+
    ?- bdd_dot_string(heads(coin),BDD,Var).
 
    
 
    
 
    returns the BDD for the query heads(coin) and the list of associations between rule groundings
 and multivalued variables.
    
-
    
-
    
-
    
+
    
+
    
+
    
 
    Conditional Queries on Discrete Variables
    
 
    The conditional probability of an atom query given another atom evidence can be asked using pita
 with the predicate
    
-
    prob(:Query:atom,:Evidence:atom,-Probability:float) is nondet
+
    prob(:Query:atom,:Evidence:atom,-Probability:float) is nondet
 
    
 
    
 
    as in
    
-
    ?- prob(heads(coin),biased(coin),P).
+
    ?- prob(heads(coin),biased(coin),P).
 
    
 
    
 
    If the query/evidence are non-ground, prob/3 returns in backtracking ground
 instantiations together with their probability.
 The query and the evidence can be conjunctions of literals (positive or negative).
    
 
    You also have
    
-
    prob(:Query:atom,:Evidence:atom,-Probability:float,+Options:list) is nondet
+
    prob(:Query:atom,:Evidence:atom,-Probability:float,+Options:list) is nondet
 
    
 
    
 
    where Options is a list of options, the following are recognised by prob/4:
    
 
      
-
    • bar(-BarChar:dict) BarChart is a dict for rendering with c3 as a bar chart with a bar for the number of successes and a bar for the number of failures.
      • 
+
    • bar(-BarChar:dict) BarChart is a dict for rendering with c3 as a bar chart with a bar for the number of successes and a bar for the number of failures.
      • 
 
    
 
    as in
    
-
    ?- prob(heads(coin),biased(coin),P,[bar(Chart)}).
+
    ?- prob(heads(coin),biased(coin),P,[bar(Chart)}).
 
    
 
    
 
    prob/3 is equivalent to prob/4 with an empty option list.
 When using mcintyre, you can ask conditional queries with rejection sampling,
 Metropolis-Hastings Markov Chain Monte Carlo or Gibbs sampling.
-In rejection sampling [VN51], you first query the evidence and, if the query is successful, query the goal in the same sample, otherwise the sample is discarded.
-In Metropolis-Hastings MCMC, mcintyre follows the algorithm proposed in [NR14] (the non adaptive version).
+In rejection sampling [VN51], you first query the evidence and, if the query is successful, query the goal in the same sample, otherwise the sample is discarded.
+In Metropolis-Hastings MCMC, mcintyre follows the algorithm proposed in [NR14] (the non adaptive version).
 A Markov chain is built by building an initial sample and by generating successor samples.
    
 
    The initial sample is built by randomly sampling choices so that the evidence is true.
 This is done with a backtracking meta-interpreter that starts with the goal and randomizes the order in which clauses are selected during the search so that the initial sample is unbiased.
@@ -701,102 +668,102 @@ 
    Conditional Queries on Discrete Variables\(\min\{1,\frac{N_0}{N_1}\) where \(N_0\) is the number of choices sampled in the previous sample and \(N_1\) is the number of choices sampled in the current sample.
-In [NR14] the lag is always 1 but the proof in [NR14] that the above acceptance probability yields a valid Metropolis-Hastings algorithm holds also when forgetting more than one sampled choice, so the lag is user defined in cplint.
    
+In [NR14] the lag is always 1 but the proof in [NR14] that the above acceptance probability yields a valid Metropolis-Hastings algorithm holds also when forgetting more than one sampled choice, so the lag is user defined in cplint.
    
 
    Then the number of successes of the query is increased by 1 if the query succeeded in the last accepted sample.
 The final probability is given by the number of successes over the total number of samples.
    
 
    You can take a given number of sample with rejection sampling using
    
-
    mc_rejection_sample(:Query:atom,:Evidence:atom,+Samples:int,-Probability:float,+Options:list) is det
+
    mc_rejection_sample(:Query:atom,:Evidence:atom,+Samples:int,-Probability:float,+Options:list) is det
 
    
 
    
 
    where Options is a list of options, the following are recognised by mc_sample_arg/5:
    
 
      
-
    • successes(-Successes:int) Number of successes
      • 
-
    • failures(-Failures:int) Number of failures
      • 
+
    • successes(-Successes:int) Number of successes
      • 
+
    • failures(-Failures:int) Number of failures
      • 
 
    
 
    as in (coinmc.pl)
    
-
    ?- mc_rejection_sample(heads(coin),biased(coin),1000,P,[successes(S),failures(F)]).
+
    ?- mc_rejection_sample(heads(coin),biased(coin),1000,P,[successes(S),failures(F)]).
 
    
 
    
 
    that takes 1000 samples where biased(coin) is true and returns in S the number of samples where heads(coin) is true, in F the number of samples where heads(coin) is false and in P the estimated probability (S/1000).
    
 
    The query and the evidence can be conjunctions of literals.
    
 
    You can take a given number of sample with Metropolis-Hastings MCMC using
    
-
    mc_mh_sample(:Query:atom,:Evidence:atom,+Samples:int,-Probability:float,+Options:list) is det
+
    mc_mh_sample(:Query:atom,:Evidence:atom,+Samples:int,-Probability:float,+Options:list) is det
 
    
 
    
 
    where Lag (that is set with the options, default value 1) is the number of sampled choices to forget before taking a new sample.
    
 
    Options is a list of options, the following are recognised by mc_mh_sample/5:
    
 
      
-
    • mix(+Mix:int) The first Mix samples are discarded (mixing time), default value 0
      • 
-
    • lag(+Lag:int) lag between each sample, Lag sampled choices are forgotten, default value 1
      • 
-
    • successes(-Successes:int) Number of successes
      • 
-
    • failures(-Failures:int) Number of failures
      • 
-
    • bar(-BarChar:dict) BarChart is a dict for rendering with c3 as a bar chart with a bar for the number of successes and a bar for the number of failures.
      • 
+
    • mix(+Mix:int) The first Mix samples are discarded (mixing time), default value 0
      • 
+
    • lag(+Lag:int) lag between each sample, Lag sampled choices are forgotten, default value 1
      • 
+
    • successes(-Successes:int) Number of successes
      • 
+
    • failures(-Failures:int) Number of failures
      • 
+
    • bar(-BarChar:dict) BarChart is a dict for rendering with c3 as a bar chart with a bar for the number of successes and a bar for the number of failures.
      • 
 
    
 
    With Mix specified it takes Mix+Samples samples and discards the first Mix.
 For example (arithm.pl)
    
-
    ?- mc_mh_sample(eval(2,4),eval(1,3),10000,P,[successes(T), failures(F)]).
+
    ?- mc_mh_sample(eval(2,4),eval(1,3),10000,P,[successes(T), failures(F)]).
 
    
 
    
 
    takes 10000 accepted samples and returns in T the number of samples where eval(2,4) is true,
 in F the number of samples where eval(2,4) is false and in P the estimated probability (T/10000).
    
 
    The predicate
    
-
    mc_gibbs_sample(:Query:atom,:Evidence:atom,+Samples:int,-Probability:float,+Options:list) is det
+
    mc_gibbs_sample(:Query:atom,:Evidence:atom,+Samples:int,-Probability:float,+Options:list) is det
 
    
 
    
 
    performs Gibbs sampling. Options is a list of options, the following are recognised by mc_gibbs_sample/5:
    
 
      
-
    • block(+Block:int) Perform blocked Gibbs: Block variables are sampled together, default value 1
      • 
-
    • mix(+Mix:int) The first Mix samples are discarded (mixing time), default value 0
      • 
-
    • successes(-Successes:int) Number of successes
      • 
-
    • failures(-Failures:int) Number of failures
      • 
+
    • block(+Block:int) Perform blocked Gibbs: Block variables are sampled together, default value 1
      • 
+
    • mix(+Mix:int) The first Mix samples are discarded (mixing time), default value 0
      • 
+
    • successes(-Successes:int) Number of successes
      • 
+
    • failures(-Failures:int) Number of failures
      • 
 
    
 
    Moreover, you can sample arguments of queries with rejection sampling, Metropolis-Hastings MCMC or Gibbs sampling using
    
-
    mc_rejection_sample_arg(:Query:atom,:Evidence:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
-mc_mh_sample_arg(:Query:atom,:Evidence:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
-mc_gibbs_sample_arg(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
+
    mc_rejection_sample_arg(:Query:atom,:Evidence:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
+mc_mh_sample_arg(:Query:atom,:Evidence:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
+mc_gibbs_sample_arg(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
 
    
 
    
 
    that return the distribution of values for Arg in Query in Samples of Query given that Evidence is true. Options is a list of options, the following are recognised:
    
 
      
-
    • mix(+Mix:int) The first Mix samples are discarded (mixing time), default value 0 (only MH and GIbbs)
      • 
-
    • lag(+Lag:int) lag between each sample, Lag sampled choices are forgotten, default value 1 (only MH)
      • 
-
    • block(+Block:int) Perform blocked Gibbs: Block variables are sampled together, default value 1 (only Gibbs)
      • 
-
    • bar(-BarChar:dict) BarChart is a bar chart of the possible values
      • 
+
    • mix(+Mix:int) The first Mix samples are discarded (mixing time), default value 0 (only MH and GIbbs)
      • 
+
    • lag(+Lag:int) lag between each sample, Lag sampled choices are forgotten, default value 1 (only MH)
      • 
+
    • block(+Block:int) Perform blocked Gibbs: Block variables are sampled together, default value 1 (only Gibbs)
      • 
+
    • bar(-BarChar:dict) BarChart is a bar chart of the possible values
      • 
 
    
 
    The predicates return in Values a list of couples L-N where L is the list of values of Arg for which Query succeeds in a world sampled at random where Evidence is true and N is the number of samples returning that list of values.
    
-
    mc_gibbs_sample_arg(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
+
    mc_gibbs_sample_arg(:Query:atom,+Samples:int,?Arg:var,-Values:list,+Options:list) is det
 
    
 
    
 
    An example of use of the above predicates is
    
-
    ?- mc_mh_sample_arg(eval(2,Y),eval(1,3),1000,Y,V,[]).
+
    ?- mc_mh_sample_arg(eval(2,Y),eval(1,3),1000,Y,V,[]).
 
    
 
    
 
    of (arithm.pl).
    
 
    To compute conditional expectations, use
    
-
    mc_rejection_expectation(:Query:atom,:Evidence:atom,+N:int,?Arg:var,-Exp:float) is det
-mc_mh_expectation(:Query:atom,:Evidence:atom,+N:int,?Arg:var,-Exp:float,+Options:list) is det
-mc_gibbs_expectation(:Query:atom,:Evidence:atom,+N:int,?Arg:var,-Exp:float,+Options:list) is det
+
    mc_rejection_expectation(:Query:atom,:Evidence:atom,+N:int,?Arg:var,-Exp:float) is det
+mc_mh_expectation(:Query:atom,:Evidence:atom,+N:int,?Arg:var,-Exp:float,+Options:list) is det
+mc_gibbs_expectation(:Query:atom,:Evidence:atom,+N:int,?Arg:var,-Exp:float,+Options:list) is det
 
    
 
    
 
    where Options is a list of options, the same as those of the predicates for conditional argument sampling are recognised. For example
    
-
    ?- mc_mh_expectation(eval(2,Y),eval(1,3),1000,Y,E,[]).
+
    ?- mc_mh_expectation(eval(2,Y),eval(1,3),1000,Y,E,[]).
 
    
 
    
 
    of (arithm.pl) computes the expectation of argument Y of eval(2,Y) given that eval(1,3) is true by taking 1000 samples using Metropolis-Hastings MCMC.
    
 
    Note that conditional inference is not allowed for PRISM programs with the setting prism_memoization set to false, as sampled values are not stored in that case and conditioning would have no effect.
    
-
    
-
    
+
    
+
    
 
    Conditional Queries on Continuous Variables
    
 
    When you have continuous random variables, you may be interested in sampling arguments of goals representing continuous random variables.
 In this way you can build a probability density of the sampled argument.
 When you do not have evidence or you have evidence on atoms not depending on continuous random variables, you can use the above predicates for sampling arguments.
    
 
    For example
    
-
    ?- mc_sample_arg(val(0,X),1000,X,L).
+
    ?- mc_sample_arg(val(0,X),1000,X,L).
 
    
 
    
 
    from (gauss_mean_est.pl) samples 1000 values for X in value(0,X) and returns them in L.
    
 
    When you have evidence on ground atoms that have continuous values as arguments, you cannot use rejection sampling or Metropolis-Hastings, as the probability of the evidence is 0. For example, the probability of sampling a specific value from a Gaussian is 0.
-Continuous variables have probability densities instead of distributions as discrete variables. In this case, you can use likelihood weighting or particle filtering [FC90],:cite:koller2009probabilistic,:cite:Nitti2016 to obtain samples of continuous arguments of a goal.
    
+Continuous variables have probability densities instead of distributions as discrete variables. In this case, you can use likelihood weighting or particle filtering [FC90],:cite:koller2009probabilistic,:cite:Nitti2016 to obtain samples of continuous arguments of a goal.
    
 
    For each sample to be taken, likelihood weighting uses a meta-interpreter to find a sample where the goal is true, randomizing the choice of clauses when more than one resolves with the goal in order to obtain an unbiased sample.
 This meta-interpreter is similar to the one used to generate the first sample in Metropolis-Hastings.
 Then a different meta-interpreter is used to evaluate the weight of the sample.
@@ -808,35 +775,35 @@ 
    Conditional Queries on Continuous Variables
    mc_lw_sample(:Query:atom,:Evidence:atom,+Samples:int,-Prob:float) is det
+
    mc_lw_sample(:Query:atom,:Evidence:atom,+Samples:int,-Prob:float) is det
 
    
 
    
 
    samples Query a number of Samples times given that Evidence (a conjunction of atoms is allowed here) is true.
 The predicate returns in Prob the probability that the query is true.
 It performs likelihood weighting: each sample is weighted by the likelihood of evidence in the sample.
    
 
    For example
    
-
    ?- mc_lw_sample(nation(a),student_gpa(4.0),1000,P).
+
    ?- mc_lw_sample(nation(a),student_gpa(4.0),1000,P).
 
    
 
    
 
    from indian_gpa.pl samples 1000 times the query nation(a) given that student_gpa(4.0) has been observed.
    
 
    The predicate
    
-
    mc_lw_sample_arg(:Query:atom,:Evidence:atom,+N:int,?Arg:var,-ValList) is det
+
    mc_lw_sample_arg(:Query:atom,:Evidence:atom,+N:int,?Arg:var,-ValList) is det
 
    
 
    
 
    returns in ValList a list of couples V-W where V is a value of Arg for which Query succeeds and W is the weight computed by likelihood weighting according to Evidence (a conjunction of atoms is allowed here).
 For example
    
-
    ?- mc_lw_sample_arg(val(0,X),(val(1,9),val(2,8)),100,X,L).
+
    ?- mc_lw_sample_arg(val(0,X),(val(1,9),val(2,8)),100,X,L).
 
    
 
    
 
    from gauss_mean_est.pl samples 100 values for X in val(0,X) given that val(1,9) and val(2,8) have been observed.
    
 
    You can compute conditional expectations using likelihood weighting with
    
-
    mc_lw_expectation(:Query:atom,Evidence:atom,+N:int,?Arg:var,-Exp:float) is det
+
    mc_lw_expectation(:Query:atom,Evidence:atom,+N:int,?Arg:var,-Exp:float) is det
 
    
 
    
 
    that computes the expected value of Arg in Query given that Evidence is true.
 It takes N samples of Arg in Query, weighting each according to the evidence, and returns their weighted average.
    
 
    The predicate
    
-
    mc_particle_sample_arg(:Query:atom,+Evidence:list,+Samples:int,?Arg:var,-Values:list) is det
+
    mc_particle_sample_arg(:Query:atom,+Evidence:list,+Samples:int,?Arg:var,-Values:list) is det
 
    
 
    
 
    samples argument Arg of Query using particle filtering given that Evidence is true. Evidence is a list of goals and Query can be either a single goal or a list of goals.
@@ -846,135 +813,135 @@ 
    Conditional Queries on Continuous VariablesValues is then list of the same length of Evidence and each of its elements is a list of couples V-W where V is a value of the corresponding element of Arg for which the corresponding element of Query succeeds in a particle and W is the weight of the particle.
 For each element of Evidence, the particles are obtained by sampling the corresponding element of Query in each current particle and weighting the particle by the likelihood of the evidence element.
    
 
    For example
    
-
    ?-[O1,O2,O3,O4]=[-0.133, -1.183, -3.212, -4.586],
-mc_particle_sample_arg([kf_fin(1,T1),kf_fin(2,T2),kf_fin(3,T3),
-kf_fin(4,T4)],
-[kf_o(1,O1),kf_o(2,O2),kf_o(3,O3),kf_o(4,O4)],100,
-[T1,T2,T3,T4],[F1,F2,F3,F4]).
+
    ?-[O1,O2,O3,O4]=[-0.133, -1.183, -3.212, -4.586],
+mc_particle_sample_arg([kf_fin(1,T1),kf_fin(2,T2),kf_fin(3,T3),
+kf_fin(4,T4)],
+[kf_o(1,O1),kf_o(2,O2),kf_o(3,O3),kf_o(4,O4)],100,
+[T1,T2,T3,T4],[F1,F2,F3,F4]).
 
    
 
    
 
    from kalman_filter.pl performs particle filtering for a Kalman filter with four observations.
 For each observation, the value of the state at the same time point is sampled.
 The list of samples is returned in [F1,F2,F3,F4], with each element being the sample for a time point.
    
 
    The predicate
    
-
    mc_particle_sample(:Query:atom,:Evidence:list,+Samples:int,-Prob:float) is det
+
    mc_particle_sample(:Query:atom,:Evidence:list,+Samples:int,-Prob:float) is det
 
    
 
    
 
    samples Query a number of Samples times given that Evidence is true using particle filtering. Evidence is a list of goals.
 The predicate returns in Prob the probability that the query is true.
    
 
    You can compute conditional expectations using particle filtering with
    
-
    mc_particle_expectation(:Query:atom,Evidence:atom,+N:int,?Arg:var,-Exp:float) is det
+
    mc_particle_expectation(:Query:atom,Evidence:atom,+N:int,?Arg:var,-Exp:float) is det
 
    
 
    
 
    that computes the expected value of Arg in Query given that Evidence is true.
 It uses N particles.
    
-
    
-
    
+
    
+
    
 
    MPE, MAP and Viterbi Inference
    
-
    pita supports MPE (Most Probable Explanation) and MAP (Maximum A Posteriori) inference. [SRV+15][BARZ20].
    
+
    pita supports MPE (Most Probable Explanation) and MAP (Maximum A Posteriori) inference. [BARZ20, SRV+15].
    
 
    In MAP inference we look for the choices of head atoms of some clauses that lead to the probability of a query being
 maximal. The rules for which we want the choices, called query, are indicated in the input file by prepending
 the text map_query to each query rule. For example, in the program bag_1.pl
    
-
    0.6::red(b1); 0.3::green(b1); 0.1::blue(b1) :- pick(b1).
-map_query 0.6::pick(b1); 0.4::no_pick(b1).
+
    0.6::red(b1); 0.3::green(b1); 0.1::blue(b1) :- pick(b1).
+map_query 0.6::pick(b1); 0.4::no_pick(b1).
 
-ev:- \+ blue(b1).
+ev:- \+ blue(b1).
 
    
 
    
 
    we are asking for the choice for the second rule.
 The predicate to use is
    
-
    map(:Query:atom,-Probability:float,-Exp:list) is nondet
+
    map(:Query:atom,-Probability:float,-Exp:list) is nondet
 
    
 
    
 
    For example, the query on the program above
    
-
    ?- map(ev,P,Exp).
+
    ?- map(ev,P,Exp).
 
    
 
    
 
    asks for the chocie for the second rule that yelds the highest probability for ev. The query returns
    
-
    P = 0.5399999999999999,
-Exp = [rule(1, pick(b1), [pick(b1):0.6, no_pick(b1):0.4], true)].
+
    P = 0.5399999999999999,
+Exp = [rule(1, pick(b1), [pick(b1):0.6, no_pick(b1):0.4], true)].
 
    
 
    
 
    In MPE inference we are interested in the choices for all rules. To perform MPE inference,
 we need to prepend  map_query to each rule and use predicate map/3.
    
 
    For example, on program bag_game_mpe.pl
    
-
    win :- red, green.
-win :- blue, yellow.
+
    win :- red, green.
+win :- blue, yellow.
 
-map_query 0.4::red.
-map_query 0.9::green.
-map_query 0.5::blue.
-map_query 0.6::yellow.
+map_query 0.4::red.
+map_query 0.9::green.
+map_query 0.5::blue.
+map_query 0.6::yellow.
 
    
 
    
 
    the query
    
-
    ?- map(win,P,Exp).
+
    ?- map(win,P,Exp).
 
    
 
    
 
    returns
    
-
    Exp = [
-        rule(0, '', [red:0.4, '' : 0.6], true),
-        rule(1, green, [green:0.9, '' : 0.09999999999999998], true),
-        rule(2, blue, [blue:0.5, '' : 0.5], true),
-        rule(3, yellow, [yellow:0.6, '' : 0.4], true)],
-P = 0.162,
+
    Exp = [
+        rule(0, '', [red:0.4, '' : 0.6], true),
+        rule(1, green, [green:0.9, '' : 0.09999999999999998], true),
+        rule(2, blue, [blue:0.5, '' : 0.5], true),
+        rule(3, yellow, [yellow:0.6, '' : 0.4], true)],
+P = 0.162,
 
    
 
    
-
    In Viterbi inference we are interested in the most probable proof of a query. See [SRV+15]
+
    In Viterbi inference we are interested in the most probable proof of a query. See [SRV+15]
 for the difference between the most probable proof and the most probable explanation.
 Module viterbi looks for the most probable proof by using a meta interpreter
 that performs branch and bound.
    
 
    The predicate
    
-
    viterbi(:Query:conjunction,+K:int,-Exp:list) is nondet
+
    viterbi(:Query:conjunction,+K:int,-Exp:list) is nondet
 
    
 
    
 
    computes the most probable proof of the conjunction of literals Query.
 It returns the proof as explanation in Exp.
    
 
    In example bag_game_vit.pl:
    
-
    :- use_module(library(viterbi)).
+
    :- use_module(library(viterbi)).
 
-:- viterbi.
+:- viterbi.
 
-:- begin_lpad.
+:- begin_lpad.
 
-win :- red, green.
-win :- blue, yellow.
+win :- red, green.
+win :- blue, yellow.
 
-0.4::red.
-0.9::green.
-0.5::blue.
-0.6::yellow.
+0.4::red.
+0.9::green.
+0.5::blue.
+0.6::yellow.
 
-:- end_lpad.
+:- end_lpad.
 
    
 
    
 
    the query
    
-
    ?- viterbi(win,P,Exp).
+
    ?- viterbi(win,P,Exp).
 
    
 
    
 
    returns
    
-
    P=0.36,
-Exp=[
-        rule(0, red, [red:0.4, '':0.6], []),
-        rule(1, green, [green:0.9, '':0.09999999999999998], [])])).
+
    P=0.36,
+Exp=[
+        rule(0, red, [red:0.4, '':0.6], []),
+        rule(1, green, [green:0.9, '':0.09999999999999998], [])])).
 
    
 
    
 
    As you can see the Viterbi explanation is different from the MPE one presented above.
    
 
    Note that viterbi/3, in case the query contains variables, returns their instantiation
 leading to the highest probability of the grounding of the query. For example,
 in hmm_vit.pl, the query
    
-
    ?-viterbi(hmm1(S,[a,g,g]),_P,_E).
+
    ?-viterbi(hmm1(S,[a,g,g]),_P,_E).
 
    
 
    
 
    returns
    
-
    S = [q2, q2, q1],
+
    S = [q2, q2, q1],
 
    
 
    
-
    
+
    
 
    Drawing BDDs for MAP/MPE
    
 
    With pita, you can obtain the BDD for a MAP/MPE query with the predicate
    
-
    map_bdd_dot_string(:Query:atom,-DotString:string,-LV:list,-LAV:list,
-        -Probability:float,-Delta:list) is nondet
+
    map_bdd_dot_string(:Query:atom,-DotString:string,-LV:list,-LAV:list,
+        -Probability:float,-Delta:list) is nondet
 
    
 
    
 
    The BDD is represented in the dot format of graphviz and returned in DotString. See Drawing BDDs
@@ -985,310 +952,310 @@ 
    Drawing BDDs for MAP/MPELV and LAV are lists of list, each sublist has three elements:
 the multivalued variable number,
 the rule number and the grounding substitution.
    
-
    
-
    
-
    
+
    
+
    
+
    
 
    Causal Inference
    
-
    pita and mcintyre support causal reasoning, i.e., computing the effect of actions using the do-calculus [Pea00].
    
+
    pita and mcintyre support causal reasoning, i.e., computing the effect of actions using the do-calculus [Pea00].
    
 
    Actions in this setting are represented as literals of action predicates, that must be declared as such with the directive
    
-
    :- action predicate1/arity1,...,predicaten/arityn.
+
    :- action predicate1/arity1,...,predicaten/arityn.
 
    
 
    
 
    When performing causal reasoning, action literals must be enclosed in the do/1 functor and included in the evidence conjunction.
 More than one action can be included (each with in a separate do/1 term) and actions and observations can be freely mixed.
 All conditional inference goals can be used except those for particle filtering.
    
 
    For example
    
-
    ?- prob(recovery,do(drug),P).
+
    ?- prob(recovery,do(drug),P).
 
    
 
    
 
    from simpson.swinb computes the probability of recovery of a patient given that the action of administering a drug has been performed.
    
-
    
-
    
+
    
+
    
 
    Graphing the Results
    
 
    In cplint on SWISH you can draw graphs for visualizing the results either with C3.js or with R.
 Similar predicates are available for the two methods.
 There are two types of graphs: those that represent individual probability values with a bar chart and those that visualize the results of sampling arguments.
    
-
    
+
    
 
    Using C3.js
    
 
    You can draw the probability of a query being true and being false as a bar chart using the predicates
    
-
    bar1(+Probability:float,-Chart:dict) is det
-bar(+Probability:float,-Chart:dict) is det
-bar(+Successes:int,+Failures:int,-Chart:dict) is det
-argbar(+Values:list,-Chart:dict) is det
+
    bar1(+Probability:float,-Chart:dict) is det
+bar(+Probability:float,-Chart:dict) is det
+bar(+Successes:int,+Failures:int,-Chart:dict) is det
+argbar(+Values:list,-Chart:dict) is det
 
    
 
    
 
    They return a dict for rendering with C3.js as a bar chart: the first returns bar chart with a single bar for the probability, the second a chart with bar for the probability and a bar for one minus the probability, the third a chart with a bar for the number of successes and a bar for the number of failures, and the fourth a chart with a for bar each value, where Values is a list of couples V-N where V is the value and N is the number of samples returning that value.
    
 
    To render C3.js charts you have to include
    
-
    :- use_rendering(c3).
+
    :- use_rendering(c3).
 
    
 
    
 
    before :- pita.
    
 
    You can also use the bar(-Chart:dict) option of many predicates as in
    
-
    ?- prob(heads(coin),biased(coin),P,[bar(Chart)]).
+
    ?- prob(heads(coin),biased(coin),P,[bar(Chart)]).
 
    
 
    
 
    P will be instantiated with a chart with a bar for the probability of heads(coin) true and a bar for the probability of heads(coin) false, given that biased(coin) is true.
    
 
    Another example is
    
-
    ?- mc_prob(heads(coin),P,[bar(Chart)]).
+
    ?- mc_prob(heads(coin),P,[bar(Chart)]).
 
    
 
    
 
    that returns a chart representation of the probability.
    
-
    ?- mc_sample(heads(coin),1000,P,[bar(Chart)]).
+
    ?- mc_sample(heads(coin),1000,P,[bar(Chart)]).
 
    
 
    
 
    returns in Chart a diagram with one bar for the number of successes and one bar for the number of failures.
    
 
    The options of mc_sample_arg/5, mc_sample_arg_first/5, mc_mh_sample_arg/6, mc_rejection_sample_arg/6, can be used for visualizing the results of sampling arguments.
    
 
    An example is
    
-
    ?- mc_sample_arg(reach(s0,0,S),50,S,ValList,[bar(Chart)]).
+
    ?- mc_sample_arg(reach(s0,0,S),50,S,ValList,[bar(Chart)]).
 
    
 
    
 
    of markov_chain.pl.
    
 
    The same result can be achieved with
    
-
    ?- mc_sample_arg(reach(s0,0,S),50,S,ValList),argbar(ValList,Chart)
+
    ?- mc_sample_arg(reach(s0,0,S),50,S,ValList),argbar(ValList,Chart)
 
    
 
    
 
    Drawing a graph is particularly interesting when sampling values for continuous arguments of goals.
 In this case, you can use the samples to draw the probability density function of the argument.
    
 
    The predicate
    
-
    histogram(+List:list,-Chart:dict,+Options:list) is det
+
    histogram(+List:list,-Chart:dict,+Options:list) is det
 
    
 
    
 
    draws a histogram of the samples in List that must be a list of couples of the form [V]-W or V-W where V is a sampled value and W is its weight.
 This is the format of the list of samples returned by argument sampling predicates.
    
 
    The predicate
    
-
    density(+List:list,-Chart:dict,+Options:list) is det
+
    density(+List:list,-Chart:dict,+Options:list) is det
 
    
 
    
 
    draws a line chart of the density of the samples in List that must take the same form as for histogram/3.
    
 
    In histogram/3 and density/3 Options is a list of options, the following are recognised:
    
 
      
-
    • min(+Min:float) the minimum value of domain, default value the minimum in List
      • 
-
    • max(+Max:float) the maximum value of domain, default value the maximum in List
      • 
-
    • nbins(+NBins:int) the number of bins for dividing the domain, default value 40
      • 
+
    • min(+Min:float) the minimum value of domain, default value the minimum in List
      • 
+
    • max(+Max:float) the maximum value of domain, default value the maximum in List
      • 
+
    • nbins(+NBins:int) the number of bins for dividing the domain, default value 40
      • 
 
    
 
    In this way you can specify the limits and the number of intervals of the \(X\).
    
 
    The predicate
    
-
    densities(+PriorList:list,+PostList:list,-Chart:dict,+Options:list) is det
+
    densities(+PriorList:list,+PostList:list,-Chart:dict,+Options:list) is det
 
    
 
    
 
    draws a line chart of the density of two sets of samples, usually prior and post observations. The samples in PriorList and PostList can be either couples [V]-W or V-W where V is a value and W its weight.
 The same options as for histogram/3 and density/3 are recognized.
    
 
    For example, the query
    
-
    ?-  mc_sample_arg(value(0,X),1000,X,L0,[]),histogram(L0,Chart,[]).
+
    ?-  mc_sample_arg(value(0,X),1000,X,L0,[]),histogram(L0,Chart,[]).
 
    
 
    
 
    from gauss_mean_est.pl, takes 1000 samples of argument X of value(0,X) and draws the density of the samples using an histogram.
    
 
    Instead
    
-
    ?- mc_sample_arg(value(0,Y),1000,Y,L0,[]),
-mc_lw_sample_arg(value(0,X),
-(value(1,9),value(2,8)),1000,X,L),
-densities(L0,L,Chart).
+
    ?- mc_sample_arg(value(0,Y),1000,Y,L0,[]),
+mc_lw_sample_arg(value(0,X),
+(value(1,9),value(2,8)),1000,X,L),
+densities(L0,L,Chart).
 
    
 
    
 
    from gauss_mean_est.pl takes 1000 amples of argument X of value(0,X) before and after observing (value(1,9),value(2,8) and draws the prior and posterior densities of the samples using a line chart.
    
 
    Predicates histogram/3, density/3 and densities/4 each have a version with one argument less that is equivalent to the predicate called with an empty option list.
    
-
    
-
    
+
    
+
    
 
    Using R
    
 
    You have to load library cplint_r (a SWI-Prolog pack) with
    
-
    :- use_module(library(cplint_r)).
+
    :- use_module(library(cplint_r)).
 
    
 
    
 
    Then you can use predicates
    
-
    bar_r/1
-bar_r/2
-argbar_r/1
+
    bar_r/1
+bar_r/2
+argbar_r/1
 
    
 
    
 
    that work as their C3.js counterpart but do not return the graph as an argument as the graph is printed with a different mechanism.
    
 
    You also have
    
-
    histogram_r(+List:list,+Options:list) is det
+
    histogram_r(+List:list,+Options:list) is det
 
    
 
    
 
    that works as histogram/3.
    
-
    density_r(+List:list) is det
+
    density_r(+List:list) is det
 
    
 
    
 
    is like density/3 with the number of bins is determined by R.
    
-
    densities_r(+PriorList:list,+PostList:list) is det
+
    densities_r(+PriorList:list,+PostList:list) is det
 
    
 
    
 
    is like densities/3 with the number of bins is determined by R.
    
 
    See gauss_mean_est_R.pl for an example of use of these predicates.
    
-
    
-
    
-
    
+
    
+
    
+
    
 
    Parameters for Inference
    
 
    The inference modules have a number of parameters in order to control their behavior.
 They can be set with the directive
    
-
    :- set_pita(<parameter>,<value>).
+
    :- set_pita(<parameter>,<value>).
 
    
 
    
 
    or
    
-
    :- set_mc(<parameter>,<value>).
+
    :- set_mc(<parameter>,<value>).
 
    
 
    
 
    after initialization (:-pita. or :-mc.) but outside :-begin/end_lpad.
 The current value can be read with
    
-
    ?- setting_pita(<parameter>,Value).
+
    ?- setting_pita(<parameter>,Value).
 
    
 
    
 
    or
    
-
    ?- setting_mc(<parameter>,Value).
+
    ?- setting_mc(<parameter>,Value).
 
    
 
    
 
    from the top-level.
 The available parameters common to both pita and mcintyre are:
    
 
      
-
    • epsilon_parsing: if (1 - the sum of the probabilities of all the head atoms) is larger than epsilon_parsing, then pita adds the null event to the head. Default value 0.00001.
      • 
-
    • single_var: determines how non ground clauses are treated: if true, a single random variable is assigned to the whole non ground clause, if false, a different random variable is assigned to every grounding of the clause. Default value false.
      • 
+
    • epsilon_parsing: if (1 - the sum of the probabilities of all the head atoms) is larger than epsilon_parsing, then pita adds the null event to the head. Default value 0.00001.
      • 
+
    • single_var: determines how non ground clauses are treated: if true, a single random variable is assigned to the whole non ground clause, if false, a different random variable is assigned to every grounding of the clause. Default value false.
      • 
 
    
 
    Moreover, pita has the parameters
    
 
      
-
    • depth_bound: if true, the depth of the derivation of the goal is limited to the value of the depth parameter. Default value false.
      • 
-
    • depth: maximum depth of derivations when depth_bound is set to true. Default value 5.
      • 
-
    • prism_memoization: false: original prism semantics, true: semantics with memoization
      • 
+
    • depth_bound: if true, the depth of the derivation of the goal is limited to the value of the depth parameter. Default value false.
      • 
+
    • depth: maximum depth of derivations when depth_bound is set to true. Default value 5.
      • 
+
    • prism_memoization: false: original prism semantics, true: semantics with memoization
      • 
 
    
 
    If depth_bound is set to true, derivations are depth-bounded so you can query also programs containing infinite loops, for example programs where queries have an infinite number of explanations.
 However the probability that is returned is guaranteed only to be a lower bound, see for example markov_chaindb.pl
    
 
    mcintyre has the parameters
    
 
      
-
    • min_error: minimal width of the binomial proportion confidence interval for the probability of the query. When the confidence interval for the probability of the query is below min_error, the computation stops. Default value 0.01.
      • 
-
    • k: the number of samples to take before checking whether the the binomial proportion confidence interval is below min_error. Default value 1000. max_samples: the maximum number of samples to take. This is used when the probability of the query is very close to 0 or 1. In fact mcintyre also checks for the validity of the the binomial proportion confidence interval: if less than 5 failures or successes are sampled, even if the width of the confidence interval is less than min_error, the computation continues. This would lead to non-termination in cases where the probability is 0 or 1. max_samples ensures termination. Default value 10e4.
      • 
-
    • prism_memoization: false: original prism semantics, true: semantics with memoization
      • 
+
    • min_error: minimal width of the binomial proportion confidence interval for the probability of the query. When the confidence interval for the probability of the query is below min_error, the computation stops. Default value 0.01.
      • 
+
    • k: the number of samples to take before checking whether the the binomial proportion confidence interval is below min_error. Default value 1000. max_samples: the maximum number of samples to take. This is used when the probability of the query is very close to 0 or 1. In fact mcintyre also checks for the validity of the the binomial proportion confidence interval: if less than 5 failures or successes are sampled, even if the width of the confidence interval is less than min_error, the computation continues. This would lead to non-termination in cases where the probability is 0 or 1. max_samples ensures termination. Default value 10e4.
      • 
+
    • prism_memoization: false: original prism semantics, true: semantics with memoization
      • 
 
    
 
    The example markov_chain.pl shows that mcintyre can perform inference in presence of an infinite number of explanations for the goal.
 Differently from pita, no depth bound is necessary, as the probability of selecting the infinite computation branch is 0.
 However, also mcintyre may not terminate if loops not involving probabilistic predicates are present.
    
 
    If you want to set the seed of the random number generator, you can use SWI-Prolog predicates setrand/1 and getrand/1, see SWI-Prolog manual.
    
-
    
-
    
+
    
+
    
 
    Decision Theory
    
-
    cplint allows also to represent decision theory problem following the syntax of Dtproblog [VdBTVODR10].
    
+
    cplint allows also to represent decision theory problem following the syntax of Dtproblog [VdBTVODR10].
    
 
    Decision facts can be expressed with the operator ?::
    
-
    ? :: umbrella.
+
    ? :: umbrella.
 
    
 
    
 
    Utility facts can be expressed with utility/2 where the first parameter is the fact and the second its utility
    
-
    utility(broken_umbrella,-40).
+
    utility(broken_umbrella,-40).
 
    
 
    
 
    In order to compute the best strategy, you can use dt_solve/2
    
-
    dt_solve(Strategy,Value).
+
    dt_solve(Strategy,Value).
 
    
 
    
 
    which returns in Strategy a set of decision facts and in Value the value of the computed best strategy.
    
-
    
-
    
-
    
+
    
+
    +

    Learning

    The following learning algorithms are available:

      -
    • EMBLEM (EM over Bdds for probabilistic Logic programs Efficient Mining): an implementation of EM for learning parameters that computes expectations directly on BDDs [BR13b][BR13a][BR11]
      • -
    • SLIPCOVER (Structure LearnIng of Probabilistic logic programs by searChing OVER the clause space): an algorithm for learning the structure of programs by searching the clause space and the theory space separately [BR15]
      • -
    • LEMUR (LEarning with a Monte carlo Upgrade of tRee search): an algorithm for learning the structure of programs by searching the clase space using Monte-Carlo tree search [DMBR15]
      • +

    • EMBLEM (EM over Bdds for probabilistic Logic programs Efficient Mining): an implementation of EM for learning parameters that computes expectations directly on BDDs [BR11, BR13a, BR13b]

      • +

    • SLIPCOVER (Structure LearnIng of Probabilistic logic programs by searChing OVER the clause space): an algorithm for learning the structure of programs by searching the clause space and the theory space separately [BR15]

      • +

    • LEMUR (LEarning with a Monte carlo Upgrade of tRee search): an algorithm for learning the structure of programs by searching the clase space using Monte-Carlo tree search [DMBR15]

    -
    +

    Input

    To execute the learning algorithms, prepare a Prolog file divided in five parts

      -
    • preamble
      • -
    • background knowledge, i.e., knowledge valid for all interpretations
      • -
    • LPAD/CPL-program for you which you want to learn the parameters (optional)
      • -
    • language bias information
      • -
    • example interpretations
      • +

    • preamble

      • +

    • background knowledge, i.e., knowledge valid for all interpretations

      • +

    • LPAD/CPL-program for you which you want to learn the parameters (optional)

      • +

    • language bias information

      • +

    • example interpretations

    The preamble must come first, the order of the other parts can be changed.

    -

    For example, consider the Bongard problems of [DRVL95]. bongard.pl and bongardkeys.pl represent a Bongard problem for SLIPCOVER. +

    For example, consider the Bongard problems of [DRVL95]. bongard.pl and bongardkeys.pl represent a Bongard problem for SLIPCOVER. bongard.pl and bongardkeys.pl represent a Bongard problem for LEMUR.

    -
    +

    Preamble

    In the preamble, the SLIPCOVER library is loaded with (bongard.pl):

    -
    :- use_module(library(slipcover)).
+
    :- use_module(library(slipcover)).
 
    
 
    
 
    Now you can initialize SLIPCOVER with
    
-
    :- sc.
+
    :- sc.
 
    
 
    
 
    At this point you can start setting parameters for SLIPCOVER such as for example
    
-
    :- set_sc(megaex_bottom,20).
-:- set_sc(max_iter,2).
-:- set_sc(max_iter_structure,5).
-:- set_sc(verbosity,1).
+
    :- set_sc(megaex_bottom,20).
+:- set_sc(max_iter,2).
+:- set_sc(max_iter_structure,5).
+:- set_sc(verbosity,1).
 
    
 
    
 
    We will see later the list of available parameters.
    
 
    In the preamble, the LEMUR library is loaded with (bongard.pl):
    
-
    :- use_module(library(lemur)).
+
    :- use_module(library(lemur)).
 
    
 
    
 
    Now you can initialize LEMUR with
    
-
    :- lemur.
+
    :- lemur.
 
    
 
    
 
    At this point you can start setting parameters for LEMUR such as for example
    
-
    :- set_lm(verbosity,1).
+
    :- set_lm(verbosity,1).
 
    
 
    
 
    A parameter that is particularly important for both SLIPCOVER and LEMUR is verbosity: if set to 1, nothing is printed and learning is fastest, if set to 3 much information is printed and learning is slowest, 2 is in between. This ends the preamble.
    
-
    
-
    
+
    +

    Background and Initial LPAD/CPL-program

    Now you can specify the background knowledge with a fact of the form

    -
    bg(<list of terms representing clauses>).
+
    bg(<list of terms representing clauses>).
 
    
 
    
 
    where the clauses must be deterministic.
 Alternatively, you can specify a set of clauses by including them in a section between :- begin_bg. and :- end_bg.
 For example
    
-
    :- begin_bg.
+
    :- begin_bg.
 
-replaceable(gear).
-replaceable(wheel).
-replaceable(chain).
-not_replaceable(engine).
-not_replaceable(control_unit).
-component(C):- replaceable(C).
-component(C):- not_replaceable(C).
+replaceable(gear).
+replaceable(wheel).
+replaceable(chain).
+not_replaceable(engine).
+not_replaceable(control_unit).
+component(C):- replaceable(C).
+component(C):- not_replaceable(C).
 
-:- end_bg.
+:- end_bg.
 
    
 
    
 
    from the mach.pl example.
 If you specify both a bg/1 fact and a section, the clauses of the two will be combined.
    
 
    Moreover, you can specify an initial program with a fact of the form
    
-
    in(<list of terms representing clauses>).
+
    in(<list of terms representing clauses>).
 
    
 
    
 
    The initial program is used in parameter learning for providing the structure.
 Remember to enclose each clause in parentheses because :- has the highest precedence.
    
 
    For example, bongard.pl has the initial program
    
-
        in([(pos:0.197575 :-
-   circle(A),
-   in(B,A)),
-(pos:0.000303421 :-
-   circle(A),
-   triangle(B)),
-(pos:0.000448807 :-
-   triangle(A),
-   circle(B))]).
+
        in([(pos:0.197575 :-
+   circle(A),
+   in(B,A)),
+(pos:0.000303421 :-
+   circle(A),
+   triangle(B)),
+(pos:0.000448807 :-
+   triangle(A),
+   circle(B))]).
 
    
 
    
 
    Alternatively, you can specify an input program in a section between :- begin_in. and :- end_in., as for example
    
-
    :- begin_in.
+
    :- begin_in.
 
-pos:0.197575 :-
-        circle(A),
-        in(B,A).
-pos:0.000303421 :-
-        circle(A),
-        triangle(B).
-pos:0.000448807 :-
-        triangle(A),
-        circle(B).
+pos:0.197575 :-
+        circle(A),
+        in(B,A).
+pos:0.000303421 :-
+        circle(A),
+        triangle(B).
+pos:0.000448807 :-
+        triangle(A),
+        circle(B).
 
-:- end_in.
+:- end_in.
 
    
 
    
 
    If you specify both a in/1 fact and a section, the clauses of the two will be combined.
    
@@ -1296,40 +1263,40 @@ 
    Background and Initial LPAD/CPL-program\([0,1]\).
    
 
    If it takes a value \(\geq 0\), the parameters are sampled from a symmetric Dirichlet distribution, i.e. a Dirichlet distribution with vector of parameters ((alpha,ldots,alpha)).
    
 
    The annotations of the head atoms of the initial program can also be p(<prob>) with <prob> a probability, in this case the parameter is fixed so it is not tuned by learning, as in
    
-
    in([(pos:0.5 :-
-        circle(A),
-        in(B,A)),
-        (pos:p(0.5) :-
-        circle(A),
-        triangle(B))]).
+
    in([(pos:0.5 :-
+        circle(A),
+        in(B,A)),
+        (pos:p(0.5) :-
+        circle(A),
+        triangle(B))]).
 
    
 
    
 
    The annotations of the head atoms of the initial program can also be t(<prob>,<args>) with <prob> either a probability, in this case it is the initial value of the parameter, or a variable, in this case the parameter is initially randomized, and <args> a tuple of variables that also appear in the clause.
 In this case a different parameter is learned for every grounding of <args> that make the body true.
    
 
    For example, we can set the initial value of the parameter of the second clause to 0.9 with
    
-
    in([(pos:0.5 :-
-        circle(A),
-        in(B,A)),
-        (pos:t(0.9) :-
-        circle(A),
-        triangle(B))]).
+
    in([(pos:0.5 :-
+        circle(A),
+        in(B,A)),
+        (pos:t(0.9) :-
+        circle(A),
+        triangle(B))]).
 
    
 
    
 
    With the program below we learn a different parameter for every instantiation of C in the second clause:
    
-
    in([(pos:0.5 :-
-        circle(A),
-        in(_B,A)),
-        (pos:t(_,C) :-
-        triangle(A),
-        config(A,C))]).
+
    in([(pos:0.5 :-
+        circle(A),
+        in(_B,A)),
+        (pos:t(_,C) :-
+        triangle(A),
+        config(A,C))]).
 
    
 
    
-
    
-
    
+
    +

    Language Bias

    The language bias part contains the declarations of the input and output predicates. Output predicates are declared as

    -
    output(<predicate>/<arity>).
+
    output(<predicate>/<arity>).
 
    
 
    
 
    and indicate the predicate whose atoms you want to predict.
@@ -1337,166 +1304,166 @@ 
    Language Bias
    input_cw(<predicate>/<arity>).
+
    input_cw(<predicate>/<arity>).
 
    
 
    
 
    For these predicates, the only true atoms are those in the interpretations and those derivable from them using the background knowledge, the clauses in the input or in the hypothesized program are not used to derive atoms for these predicates. Moreover, clauses of the background knowledge that define closed world input predicates and that call an output predicate in the body will not be used for deriving examples.
    
 
    Open world input predicates are declared with
    
-
    input(<predicate>/<arity>).
+
    input(<predicate>/<arity>).
 
    
 
    
 
    In this case, if a subgoal for such a predicate is encountered when deriving a subgoal for the output predicates, both the facts in the interpretations, those derivable from them and the background knowledge, the background clauses and the clauses of the input program are used.
    
 
    Then, you have to specify the language bias by means of mode declarations in the style of Progol.
    
-
    modeh(<recall>,<predicate>(<arg1>,...)).
+
    modeh(<recall>,<predicate>(<arg1>,...)).
 
    
 
    
 
    specifies the atoms that can appear in the head of clauses, while
    
-
    modeb(<recall>,<predicate>(<arg1>,...)).
+
    modeb(<recall>,<predicate>(<arg1>,...)).
 
    
 
    
 
    specifies the atoms that can appear in the body of clauses. <recall> can be an integer or *. <recall> indicates how many atoms for the predicate specification are retained in the bottom clause during a saturation step. * stands for all those that are found.
 Otherwise the indicated number is randomly chosen.
    
 
    For SLIPCOVER, two specialization modes are available: bottom and mode. In the first, a bottom clause is built and the literals to be added during refinement are taken from it. In the latter, no bottom clause is built and the literals to be added during refinement are generated directly from the mode declarations. LEMUR has only specialization mode.
    
 
    Arguments of the form
    
-
    +<type>
+
    +<type>
 
    
 
    
 
    specifies that the argument should be an input variable of type <type>, i.e., a variable replacing a +<type> argument in the head or a -<type> argument in a preceding literal in the current hypothesized clause.
    
 
    Another argument form is
    
-
    -<type>
+
    -<type>
 
    
 
    
 
    for specifying that the argument should be a output variable of type <type>.
 Any variable can replace this argument, either input or output.
 The only constraint on output variables is that those in the head of the current hypothesized clause must appear as output variables in an atom of the body.
    
 
    Other forms are
    
-
    #<type>
+
    #<type>
 
    
 
    
 
    for specifying an argument which should be replaced by a constant of type <type> in the bottom clause but should not be used for replacing input variables of the following literals when building the bottom clause or
    
-
    -#<type>
+
    -#<type>
 
    
 
    
 
    for specifying an argument which should be replaced by a constant of type <type> in the bottom clause and that should be used for replacing input variables of the following literals when building the bottom clause.
    
-
    <constant>
+
    <constant>
 
    
 
    
 
    for specifying a constant.
    
 
    Note that arguments of the form #<type> -#<type> are not available in specialization mode mode, if you want constants to appear in the literals you have to indicate them one by one in the mode declarations.
    
 
    An example of language bias for the Bongard domain is
    
-
    output(pos/0).
+
    output(pos/0).
 
-input_cw(triangle/1).
-input_cw(square/1).
-input_cw(circle/1).
-input_cw(in/2).
-input_cw(config/2).
+input_cw(triangle/1).
+input_cw(square/1).
+input_cw(circle/1).
+input_cw(in/2).
+input_cw(config/2).
 
-modeh(*,pos).
-modeb(*,triangle(-obj)).
-modeb(*,square(-obj)).
-modeb(*,circle(-obj)).
-modeb(*,in(+obj,-obj)).
-modeb(*,in(-obj,+obj)).
-modeb(*,config(+obj,-#dir)).
+modeh(*,pos).
+modeb(*,triangle(-obj)).
+modeb(*,square(-obj)).
+modeb(*,circle(-obj)).
+modeb(*,in(+obj,-obj)).
+modeb(*,in(-obj,+obj)).
+modeb(*,config(+obj,-#dir)).
 
    
 
    
 
    SLIPCOVER and LEMUR also require facts for the determination/2 Aleph-style predicate that indicate which predicates can appear in the body of clauses.
 For example
    
-
    determination(pos/0,triangle/1).
-determination(pos/0,square/1).
-determination(pos/0,circle/1).
-determination(pos/0,in/2).
-determination(pos/0,config/2).
-state that :code:`triangle/1` can appear in the body of clauses for :code:`pos/0`.
+
    determination(pos/0,triangle/1).
+determination(pos/0,square/1).
+determination(pos/0,circle/1).
+determination(pos/0,in/2).
+determination(pos/0,config/2).
 
    
 
    
+
    state that triangle/1 can appear in the body of clauses for pos/0.
    
 
    SLIPCOVER and LEMUR also allow mode declarations of the form
    
-
    modeh(<r>,[<s1>,...,<sn>],[<a1>,...,<an>],[<P1/Ar1>,...,<Pk/Ark>]).
+
    modeh(<r>,[<s1>,...,<sn>],[<a1>,...,<an>],[<P1/Ar1>,...,<Pk/Ark>]).
 
    
 
    
 
    These mode declarations are used to generate clauses with more than two head atoms.
 In them, <s1>,...,<sn> are schemas, <a1>,...,<an> are atoms such that <ai> is obtained from <si> by replacing placemarkers with variables, <Pi/Ari> are the predicates admitted in the body. <a1>,...,<an> are used to indicate which variables should be shared by the atoms in the head.
 An example of such a mode declaration (from uwcselearn.pl) is
    
-
    modeh(*,
-[advisedby(+person,+person),tempadvisedby(+person,+person)],
-[advisedby(A,B),tempadvisedby(A,B)],
-[professor/1,student/1,hasposition/2,inphase/2,
-publication/2,taughtby/3,ta/3,courselevel/2,yearsinprogram/2]).
+
    modeh(*,
+[advisedby(+person,+person),tempadvisedby(+person,+person)],
+[advisedby(A,B),tempadvisedby(A,B)],
+[professor/1,student/1,hasposition/2,inphase/2,
+publication/2,taughtby/3,ta/3,courselevel/2,yearsinprogram/2]).
 
    
 
    
 
    If you want to specify negative literals for addition in the body of clauses, you should define a new predicate in the background as in
    
-
    not_worn(C):-
-        component(C),
-        \+ worn(C).
-one_worn:-
-worn(_).
-none_worn:-
-\+ one_worn.
+
    not_worn(C):-
+        component(C),
+        \+ worn(C).
+one_worn:-
+worn(_).
+none_worn:-
+\+ one_worn.
 
    
 
    
 
    from mach.pl and add the new predicate in a modeb/2 fact
    
-
    modeb(*,not_worn(-comp)).
-modeb(*,none_worn).
+
    modeb(*,not_worn(-comp)).
+modeb(*,none_worn).
 
    
 
    
 
    Note that successful negative literals do not instantiate the variables, so if you want a variable appearing in a negative literal to be an output variable you must instantiate before calling the negative literals.
 The new predicates must also be declared as input
    
-
    input_cw(not_worn/1).
-input_cw(none_worn/0).
+
    input_cw(not_worn/1).
+input_cw(none_worn/0).
 
    
 
    
 
    Lookahead can also be specified with facts of the form
    
-
    lookahead(<literal>,<list of literals>).
+
    lookahead(<literal>,<list of literals>).
 
    
 
    
 
    In this case when a literal matching <literal> is added to the body of clause during refinement, then also the literals matching <list of literals> will be added. An example of such declaration (from muta.pl) is
    
-
    lookahead(logp(_),[(_=_))]).
+
    lookahead(logp(_),[(_=_))]).
 
    
 
    
 
    Note that <list of literals> is copied with copy_term/2 before matching, so variables in common between <literal> and <list of literals> may not be in common in the refined clause.
    
 
    It is also possible to specify that a literal can only be added together with other literals with facts of the form
    
-
    lookahead_cons(<literal>,<list of literals>).
+
    lookahead_cons(<literal>,<list of literals>).
 
    
 
    
 
    In this case <literal> is added to the body of clause during refinement only together with literals matching <list of literals>.
 An example of such declaration is
    
-
    lookahead_cons(logp(_),[(_=_))]).
+
    lookahead_cons(logp(_),[(_=_))]).
 
    
 
    
 
    Also here <list of literals> is copied with copy_term/2 before matching, so variables in common between <literal> and <list of literals> may not be in common in the refined clause.
    
 
    Moreover, we can specify lookahead with
    
-
    lookahead_cons_var(<literal>,<list of literals>).
+
    lookahead_cons_var(<literal>,<list of literals>).
 
    
 
    
 
    In this case <literal> is added to the body of clause during refinement only together with literals matching <list of literals> and <list of literals> is not copied before matching, so variables in common between <literal> and <list of literals> are in common also in the refined clause. This is allowed only with specialization set to bottom.
 An example of such declaration is
    
-
    lookahead_cons_var(logp(B),[(B=_))]).
+
    lookahead_cons_var(logp(B),[(B=_))]).
 
    
 
    
-
    
-
    
+
    +

    Example Interpretations

    The last part of the file contains the data. You can specify data with two modalities: models and keys. In the models type, you specify an example model (or interpretation or megaexample) as a list of Prolog facts initiated by begin(model(<name>)). and terminated by end(model(<name>)). as in

    -
    begin(model(2)).
-pos.
-triangle(o5).
-config(o5,up).
-square(o4).
-in(o4,o5).
-circle(o3).
-triangle(o2).
-config(o2,up).
-in(o2,o3).
-triangle(o1).
-config(o1,up).
-end(model(2)).
+
    begin(model(2)).
+pos.
+triangle(o5).
+config(o5,up).
+square(o4).
+in(o4,o5).
+circle(o3).
+triangle(o2).
+config(o2,up).
+in(o2,o3).
+triangle(o1).
+config(o1,up).
+end(model(2)).
 
    
 
    
 
    The interpretations may contain a fact of the form
    
-
    prob(0.3).
+
    prob(0.3).
 
    
 
    
 
    assigning a probability (0.3 in this case) to the interpretations.
@@ -1506,17 +1473,17 @@ 
    Example Interpretations
 
    Alternatively, with the keys modality, you can directly write the facts and the first argument will be interpreted as a model identifier.
 The above interpretation in the keys modality is
    
-
    pos(2).
-triangle(2,o5).
-config(2,o5,up).
-square(2,o4).
-in(2,o4,o5).
-circle(2,o3).
-triangle(2,o2).
-config(2,o2,up).
-in(2,o2,o3).
-triangle(2,o1).
-config(2,o1,up).
+
    pos(2).
+triangle(2,o5).
+config(2,o5,up).
+square(2,o4).
+in(2,o4,o5).
+circle(2,o3).
+triangle(2,o2).
+config(2,o2,up).
+in(2,o2,o3).
+triangle(2,o1).
+config(2,o1,up).
 
    
 
    
 
    which is contained in the bongardkeys.pl.
@@ -1525,230 +1492,230 @@ 
    Example Interpretationsint/1 are not asserted for interpretations in the key modality but can be added by the user explicitly.
    
 
    Note that you can add background knowledge that is not probabilistic directly to the file writing the clauses taking into account the model argument.
 For example (carc.pl) contains
    
-
    connected(_M,Ring1,Ring2):-
-        Ring1 \= Ring2,
-        member(A,Ring1),
-        member(A,Ring2), !.
+
    connected(_M,Ring1,Ring2):-
+        Ring1 \= Ring2,
+        member(A,Ring1),
+        member(A,Ring2), !.
 
-symbond(Mod,A,B,T):- bond(Mod,A,B,T).
-symbond(Mod,A,B,T):- bond(Mod,B,A,T).
+symbond(Mod,A,B,T):- bond(Mod,A,B,T).
+symbond(Mod,A,B,T):- bond(Mod,B,A,T).
 
    
 
    
 
    where the first argument of all the atoms is the model.
    
 
    Example registration.pl contains for example
    
-
    party(M,P):-
-participant(M,_, _, P, _).
+
    party(M,P):-
+participant(M,_, _, P, _).
 
    
 
    
 
    that defines intensionally the target predicate party/1. Here M is the model and participant/4 is defined in the interpretations.
 You can also define intensionally the negative examples with
    
-
    neg(party(M,yes)):- party(M,no).
-neg(party(M,no)):- party(M,yes).
+
    neg(party(M,yes)):- party(M,no).
+neg(party(M,no)):- party(M,yes).
 
    
 
    
 
    Then you must indicate how the examples are divided in folds with facts of the form: fold(<fold_name>,<list of model identifiers>), as for example
    
-
    fold(train,[2,3,...]).
-fold(test,[490,491,...]).
+
    fold(train,[2,3,...]).
+fold(test,[490,491,...]).
 
    
 
    
 
    As the input file is a Prolog program, you can define intensionally the folds as in
    
-
    fold(all,F):-
-findall(I,int(I),F).
+
    fold(all,F):-
+findall(I,int(I),F).
 
    
 
    
 
    fold/2 is dynamic so you can also write (registration.pl)
    
-
    :- fold(all,F),
-        sample(4,F,FTr,FTe),
-assert(fold(rand_train,FTr)),
-assert(fold(rand_test,FTe)).
+
    :- fold(all,F),
+        sample(4,F,FTr,FTe),
+assert(fold(rand_train,FTr)),
+assert(fold(rand_test,FTe)).
 
    
 
    
 
    which however must be inserted after the input interpretations otherwise the facts for int/1 will not be available and the fold all would be empty.
 This command uses sample(N,List,Sampled,Rest) exported from slipcover that samples N elements from List and returns the sampled elements in Sampled and the rest in Rest.
 If List has N elements or less, Sampled is equal to List and Rest is empty.
    
-
    
-
    
-
    
+
    +
    +

    Commands

    -
    +

    Parameter Learning

    To execute EMBLEM, prepare an input file in the editor panel as indicated above and call

    -
    ?- induce_par(<list of folds>,P).
+
    ?- induce_par(<list of folds>,P).
 
    
 
    
 
    where <list of folds> is a list of the folds for training and P will contain the input program with updated parameters.
    
 
    For example bongard.pl, you can perform parameter learning on the train fold with
    
-
    ?- induce_par([train],P).
+
    ?- induce_par([train],P).
 
    
 
    
-
    
-
    
+
    +

    Structure Learning

    To execute SLIPCOVER, prepare an input file in the editor panel as indicated above and call

    -
    induce(+List_of_folds:list,-P:list) is det
+
    induce(+List_of_folds:list,-P:list) is det
 
    
 
    
 
    where List_of_folds is a list of the folds for training and P will contain the learned program.
    
 
    For example bongard.pl, you can perform structure learning on the train fold with
    
-
    ?- induce([train],P).
+
    ?- induce([train],P).
 
    
 
    
 
    A program can also be tested on a test set with test/7 or test_prob/6 as described below.
    
 
    Between two executions of induce/2 you should exit SWI-Prolog to have a clean database.
    
 
    To execute LEMUR, prepare an input file in the editor panel as indicated above and call
    
-
    induce_lm(+List_of_folds:list,-P:list) is det
+
    induce_lm(+List_of_folds:list,-P:list) is det
 
    
 
    
 
    where List_of_folds is a list of the folds for training and P will contain the learned program.
    
 
    For example bongard.pl, you can perform structure learning on the train fold with
    
-
    ?- induce_lm([train],P).
+
    ?- induce_lm([train],P).
 
    
 
    
 
    Between two executions of induce_lm/2 you should exit SWI-Prolog to have a clean database.
    
-
    
-
    
+
    +

    Testing

    A program can also be tested on a test set in SLIPCOVER and LEMUR with

    -
    test(+Program:list,+List_of_folds:list,-LL:float,-AUCROC:float,-ROC:list,-AUCPR:float,-PR:list) is det
+
    test(+Program:list,+List_of_folds:list,-LL:float,-AUCROC:float,-ROC:list,-AUCPR:float,-PR:list) is det
 
    
 
    
 
    or
    
-
    test(+Program:list,+List_of_folds:list,-NPos:int,-NNeg:int,-LL:float,-ExampleList:list) is det
+
    test(+Program:list,+List_of_folds:list,-NPos:int,-NNeg:int,-LL:float,-ExampleList:list) is det
 
    
 
    
 
    where Program is a list of terms representing clauses and List_of_folds is a list of folds.
    
 
    test/7 returns the log likelihood of the test examples in LL, the Area Under the ROC curve in AUCROC, a dictionary containing the list of points (in the form of Prolog pairs x-y) of the ROC curve in ROC, the Area Under the PR curve in AUCPR, a dictionary containing the list of points of the PR curve in PR.
    
 
    test_prob/6 returns the log likelihood of the test examples in LL, the numbers of positive and negative examples in NPos and NNeg and the list ExampleList containing couples Prob-Ex where Ex is a for a a positive example and \+(a) for a a negative example and Prob is the probability of example a.
    
 
    Then you can draw the curves in cplint on SWISH using C3.js using
    
-
    compute_areas_diagrams(+ExampleList:list,-AUCROC:float,-ROC:dict,-AUCPR:float,-PR:dict) is det
+
    compute_areas_diagrams(+ExampleList:list,-AUCROC:float,-ROC:dict,-AUCPR:float,-PR:dict) is det
 
    
 
    
 
    (from pack auc.pl) that takes as input a list ExampleList of pairs probability-literal of the form that is returned by test_prob/6.
    
 
    For example, to test on fold test the program learned on fold train you can run the query
    
-
    ?- induce_par([train],P),
-test(P,[test],LL,AUCROC,ROC,AUCPR,PR).
+
    ?- induce_par([train],P),
+test(P,[test],LL,AUCROC,ROC,AUCPR,PR).
 
    
 
    
 
    Or you can test the input program on the fold test with
    
-
    ?- in(P),test(P,[test],LL,AUCROC,ROC,AUCPR,PR).
+
    ?- in(P),test(P,[test],LL,AUCROC,ROC,AUCPR,PR).
 
    
 
    
 
    In cplint on SWISH, by including
    
-
    :- use_rendering(c3).
-:- use_rendering(lpad).
+
    :- use_rendering(c3).
+:- use_rendering(lpad).
 
    
 
    
 
    in the code before :- sc. the curves will be shown as graphs using C3.js and the output program will be pretty printed.
    
 
    You can also draw the curves in cplint on SWISH using R by loading library cplint_r with
    
-
    :- use_module(library(cplint_r)).
+
    :- use_module(library(cplint_r)).
 
    
 
    
 
    and using
    
-
    test_r(+Program:list,+List_of_folds:list,-LL:float,-AUCROC:float,-AUCPR:float) is det
+
    test_r(+Program:list,+List_of_folds:list,-LL:float,-AUCROC:float,-AUCPR:float) is det
 
    
 
    
 
    or predicate
    
-
    compute_areas_diagrams_r(+ExampleList:list,-AUCROC:float,-AUCPR:float) is det
+
    compute_areas_diagrams_r(+ExampleList:list,-AUCROC:float,-AUCPR:float) is det
 
    
 
    
 
    that takes as input a list ExampleList of pairs probability-literal of the form that is returned by test_prob/6.
    
-
    
-
    
-
    
+
    +
    +

    Parameters for Learning

    Parameters are set with commands of the form

    -
    :- set_sc(<parameter>,<value>).
+
    :- set_sc(<parameter>,<value>).
 
    
 
    
 
    The available parameters are:
    
 
      
-
    • specialization: (values: {bottom,mode}, default value: bottom, valid for SLIPCOVER) specialization mode.
      • 
-
    • depth_bound: (values: {true,false}, default value: true) if true, the depth of the derivation of the goal is limited to the value of the depth parameter.
      • 
-
    • depth (values: integer, default value: 2): depth of derivations if depth_bound is set to true
      • 
-
    • single_var (values: {true,false}, default value: false): if set to true, there is a random variable for each clause, instead of a different random variable for each grounding of each clause
      • 
-
    • epsilon_em (values: real, default value: 0.1): if the difference in the log likelihood in two successive parameter EM iteration is smaller than epsilon_em, then EM stops
      • 
-
    • epsilon_em_fraction (values: real, default value: 0.01): if the difference in the log likelihood in two successive parameter EM iteration is smaller than epsilon_em_fraction*(-current log likelihood), then EM stops
      • 
-
    • iter (values: integer, defualt value: 1): maximum number of iteration of EM parameter learning. If set to -1, no maximum number of iterations is imposed
      • 
-
    • iterREF (values: integer, defualt value: 1, valid for SLIPCOVER and LEMUR): maximum number of iteration of EM parameter learning for refinements. If set to -1, no maximum number of iterations is imposed.
      • 
-
    • random_restarts_number (values: integer, default value: 1, valid for EMBLEM, SLIPCOVER and LEMUR): number of random restarts of parameter EM learning
      • 
-
    • random_restarts_REFnumber (values: integer, default value: 1, valid for SLIPCOVER and LEMUR): number of random restarts of parameter EM learning for refinements
      • 
-
    • seed (values: seed(integer) or seed(random), default value seed(3032)): seed for the Prolog random functions, see SWI-Prolog manual
      • 
-
    • c_seed (values: unsigned integer, default value 21344)): seed for the C random functions
      • 
-
    • logzero (values: negative real, default value \(\log(0.000001)\): value assigned to \(\log(0)\)
      • 
-
    • max_iter (values: integer, default value: 10, valid for SLIPCOVER): number of interations of beam search
      • 
-
    • max_var (values: integer, default value: 4, valid for SLIPCOVER and LEMUR): maximum number of distinct variables in a clause
      • 
-
    • beamsize (values: integer, default value: 100, valid for SLIPCOVER): size of the beam
      • 
-
    • megaex_bottom (values: integer, default value: 1, valid for SLIPCOVER): number of mega-examples on which to build the bottom clauses
      • 
-
    • initial_clauses_per_megaex (values: integer, default value: 1, valid for SLIPCOVER): number of bottom clauses to build for each mega-example (or model or interpretation)
      • 
-
    • d (values: integer, default value: 1, valid for SLIPCOVER): number of saturation steps when building the bottom clause
      • 
-
    • mcts_beamsize (values: integer, default value: 3, valid for LEMUR): size of the Monte-Carlo tree search beam
      • 
-
    • mcts_visits (values: integer, default value: +1e20, valid for LEMUR): maximum number of visits
      • 
-
    • max_iter_structure (values: integer, default value: 10000, valid for SLIPCOVER): maximum number of theory search iterations
      • 
-
    • background_clauses (values: integer, default value: 50, valid for SLIPCOVER): maximum numbers of background clauses
      • 
-
    • maxdepth_var (values: integer, default value: 2, valid for SLIPCOVER and LEMUR): maximum depth of variables in clauses (as defined in [Coh95]).
      • 
-
    • mcts_max_depth (values: integer, default value: 8, valid for LEMUR): maximum depth of default policy search
      • 
-
    • mcts_c (values: real, default value: 0.7, valid for LEMUR): value of parameter \(C\) in the computation of UCT
      • 
-
    • mcts_iter (values: integer, default value: 20, valid for LEMUR): number of Monte-Carlo tree search iterations
      • 
-
    • mcts_maxrestarts (values: integer, default value: 20, valid for LEMUR): maximum number of Monte-Carlo tree search restarts
      • 
-
    • neg_ex (values: given, cw, default value: cw): if set to given, the negative examples in training and testing are taken from the test folds interpretations, i.e., those examples ex stored as neg(ex); if set to cw, the negative examples in training and testing are generated according to the closed world assumption, i.e., all atoms for target predicates that are not positive examples. The set of all atoms is obtained by collecting the set of constants for each type of the arguments of the target predicate, so the target predicates must have at least one fact for modeh/2 or modebb/2 also for parameter learning.
      • 
-
    • alpha (values: floating point \(\geq 0\), default value: 0): parameter of the symmetric Dirichlet distribution used to initialize the parameters. If it takes value 0, a truncated Dirichlet process is used to sample parameters: the probability of being true of each Boolean random variable used to represent multivalued random variables is sampled uniformly and independently in [0,1]. If it takes a value \(\geq 0\), the parameters are sampled from a symmetric Dirichlet distribution, i.e. a Dirichlet distribution with vector of parameters \(\alpha,\ldots,\alpha\).
      • 
-
    • verbosity (values: integer in [1,3], default value: 1): level of verbosity of the algorithms.
      • 
+
    • specialization: (values: {bottom,mode}, default value: bottom, valid for SLIPCOVER) specialization mode.
      • 
+
    • depth_bound: (values: {true,false}, default value: true) if true, the depth of the derivation of the goal is limited to the value of the depth parameter.
      • 
+
    • depth (values: integer, default value: 2): depth of derivations if depth_bound is set to true
      • 
+
    • single_var (values: {true,false}, default value: false): if set to true, there is a random variable for each clause, instead of a different random variable for each grounding of each clause
      • 
+
    • epsilon_em (values: real, default value: 0.1): if the difference in the log likelihood in two successive parameter EM iteration is smaller than epsilon_em, then EM stops
      • 
+
    • epsilon_em_fraction (values: real, default value: 0.01): if the difference in the log likelihood in two successive parameter EM iteration is smaller than epsilon_em_fraction*(-current log likelihood), then EM stops
      • 
+
    • iter (values: integer, defualt value: 1): maximum number of iteration of EM parameter learning. If set to -1, no maximum number of iterations is imposed
      • 
+
    • iterREF (values: integer, defualt value: 1, valid for SLIPCOVER and LEMUR): maximum number of iteration of EM parameter learning for refinements. If set to -1, no maximum number of iterations is imposed.
      • 
+
    • random_restarts_number (values: integer, default value: 1, valid for EMBLEM, SLIPCOVER and LEMUR): number of random restarts of parameter EM learning
      • 
+
    • random_restarts_REFnumber (values: integer, default value: 1, valid for SLIPCOVER and LEMUR): number of random restarts of parameter EM learning for refinements
      • 
+
    • seed (values: seed(integer) or seed(random), default value seed(3032)): seed for the Prolog random functions, see SWI-Prolog manual
      • 
+
    • c_seed (values: unsigned integer, default value 21344)): seed for the C random functions
      • 
+
    • logzero (values: negative real, default value \(\log(0.000001)\): value assigned to \(\log(0)\)
      • 
+
    • max_iter (values: integer, default value: 10, valid for SLIPCOVER): number of interations of beam search
      • 
+
    • max_var (values: integer, default value: 4, valid for SLIPCOVER and LEMUR): maximum number of distinct variables in a clause
      • 
+
    • beamsize (values: integer, default value: 100, valid for SLIPCOVER): size of the beam
      • 
+
    • megaex_bottom (values: integer, default value: 1, valid for SLIPCOVER): number of mega-examples on which to build the bottom clauses
      • 
+
    • initial_clauses_per_megaex (values: integer, default value: 1, valid for SLIPCOVER): number of bottom clauses to build for each mega-example (or model or interpretation)
      • 
+
    • d (values: integer, default value: 1, valid for SLIPCOVER): number of saturation steps when building the bottom clause
      • 
+
    • mcts_beamsize (values: integer, default value: 3, valid for LEMUR): size of the Monte-Carlo tree search beam
      • 
+
    • mcts_visits (values: integer, default value: +1e20, valid for LEMUR): maximum number of visits
      • 
+
    • max_iter_structure (values: integer, default value: 10000, valid for SLIPCOVER): maximum number of theory search iterations
      • 
+
    • background_clauses (values: integer, default value: 50, valid for SLIPCOVER): maximum numbers of background clauses
      • 
+
    • maxdepth_var (values: integer, default value: 2, valid for SLIPCOVER and LEMUR): maximum depth of variables in clauses (as defined in [Coh95]).
      • 
+
    • mcts_max_depth (values: integer, default value: 8, valid for LEMUR): maximum depth of default policy search
      • 
+
    • mcts_c (values: real, default value: 0.7, valid for LEMUR): value of parameter \(C\) in the computation of UCT
      • 
+
    • mcts_iter (values: integer, default value: 20, valid for LEMUR): number of Monte-Carlo tree search iterations
      • 
+
    • mcts_maxrestarts (values: integer, default value: 20, valid for LEMUR): maximum number of Monte-Carlo tree search restarts
      • 
+
    • neg_ex (values: given, cw, default value: cw): if set to given, the negative examples in training and testing are taken from the test folds interpretations, i.e., those examples ex stored as neg(ex); if set to cw, the negative examples in training and testing are generated according to the closed world assumption, i.e., all atoms for target predicates that are not positive examples. The set of all atoms is obtained by collecting the set of constants for each type of the arguments of the target predicate, so the target predicates must have at least one fact for modeh/2 or modebb/2 also for parameter learning.
      • 
+
    • alpha (values: floating point \(\geq 0\), default value: 0): parameter of the symmetric Dirichlet distribution used to initialize the parameters. If it takes value 0, a truncated Dirichlet process is used to sample parameters: the probability of being true of each Boolean random variable used to represent multivalued random variables is sampled uniformly and independently in [0,1]. If it takes a value \(\geq 0\), the parameters are sampled from a symmetric Dirichlet distribution, i.e. a Dirichlet distribution with vector of parameters \(\alpha,\ldots,\alpha\).
      • 
+
    • verbosity (values: integer in [1,3], default value: 1): level of verbosity of the algorithms.
      • 
 
    
-
    -
    -
    +
    +
    +

    Download Query Results through an API

    In cplint on SWISH the results of queries can also be downloaded programmatically by directly approaching the Pengine API. Example client code is available. For example, the swish-ask.sh client can be used with bash to download the results for a query in CSV.

    -

    The call below downloads a CSV file for the coin example.

    -
    $ bash swish-ask.sh --server=http://cplint.eu e/coin.pl Prob "prob(heads(coin),Prob)"
+
    The call below downloads a CSV file for the coin example
    
+
    $ bash swish-ask.sh --server=http://cplint.eu e/coin.pl Prob "prob(heads(coin),Prob)"
 
    
 
    
 
    The script can ask queries against Prolog scripts stored in http://cplint.eu by specifying the script on the commandline.
 User defined files stored in cplint on SWISH (locations of type http://cplint.eu/p/coin_user.pl) can be directly used, for example:
    
-
    $ bash swish-ask.sh --server=http://cplint.eu coin_user.pl Prob "prob(heads(coin),Prob)"
+
    $ bash swish-ask.sh --server=http://cplint.eu coin_user.pl Prob "prob(heads(coin),Prob)"
 
    
 
    
 
    Example programs can be used by specifying the folder portion of the url of the example, as in the first coin example above where the url for the program is http://cplint.eu/e/coin.pl.
    
 
    You can also use an url for the program as in
    
-
    $ bash swish-ask.sh --server=http://cplint.eu \
-https://raw.githubusercontent.com/friguzzi/swish/\
-master/e/coin.pl Prob "prob(heads(coin),Prob)"
+
    $ bash swish-ask.sh --server=http://cplint.eu \
+https://raw.githubusercontent.com/friguzzi/swish/\
+master/e/coin.pl Prob "prob(heads(coin),Prob)"
 
    
 
    
 
    Results can be downloaded in JSON using the option --json-s or --json-html. With the first the output is in a simple string format where Prolog terms are sent using quoted write, the latter serialize responses as HTML strings.
 E.g.
    
-
    $ bash swish-ask.sh --json-s --server=http://cplint.eu \
-        coin_user.pl Prob "prob(heads(coin),Prob)"
+
    $ bash swish-ask.sh --json-s --server=http://cplint.eu \
+        coin_user.pl Prob "prob(heads(coin),Prob)"
 
    
 
    
 
    The JSON format can also be modified.
 See http://www.swi-prolog.org/pldoc/doc_for?object=pengines%3Aevent_to_json/4.
    
 
    Prolog can exploit the Pengine API directly. For example, the above can be called as:
    
-
    ?- [library(pengines)].
-?- pengine_rpc('http://cplint.eu',
-        prob(heads(coin),Prob),
-        [ src_url('https://raw.githubusercontent.com/friguzzi/swish/\
-                master/e/coin.pl'),
-                application(swish)
-]).
+
    ?- [library(pengines)].
+?- pengine_rpc('http://cplint.eu',
+        prob(heads(coin),Prob),
+        [ src_url('https://raw.githubusercontent.com/friguzzi/swish/\
+                master/e/coin.pl'),
+                application(swish)
+]).
 
-Prob = 0.51.
+Prob = 0.51.
 
    
 
    
-
    
-
    
+
    +

    Example Files

    The pack/cplint/prolog/examples folder in SWI-Prolog home contains some example programs. The subfolder learning contains some learning examples. The pack/cplint/docs folder contains this manual in latex, html and pdf.

    -
    -
    + +

    Manual in PDF

    A PDF version of the manual is available at http://friguzzi.github.io/cplint/_build/latex/cplint.pdf.

    -
    -
    + +

    License

    cplint follows the Artistic License 2.0 that you can find in cplint root folder. The copyright is by Fabrizio Riguzzi.

    @@ -1759,9 +1726,9 @@

    License -
  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
    • -
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
    • -
  • Neither the name of the University of Colorado nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
    • +

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

    • +

  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

    • +

  • Neither the name of the University of Colorado nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

    • THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRAN-TIES, INCLUDING, BUT NOT @@ -1776,170 +1743,95 @@

    License +

    +

    References

    -

    - - - - -
    [BARZ20]Elena Bellodi, Marco Alberti, Fabrizio Riguzzi, and Riccardo Zese. MAP inference for probabilistic logic programming. Theory and Practice of Logic Programming, 20(5):641–655, 2020. URL: https://arxiv.org/abs/2008.01394, doi:10.1017/S1471068420000174.
    - - - - - -
    [BR11]Elena Bellodi and Fabrizio Riguzzi. EM over binary decision diagrams for probabilistic logic programs. Technical Report CS-2011-01, Dipartimento di Ingegneria, Università di Ferrara, Italy, 2011. URL: http://ml.unife.it/wp-content/uploads/Papers/BelRig-CILC11.pdf.
    - - - - - -
    [BR13a]Elena Bellodi and Fabrizio Riguzzi. Expectation maximization over binary decision diagrams for probabilistic logic programs. Intelligent Data Analysis, 17(2):343–363, 2013.
    - - - - - -
    [BR13b]Elena Bellodi and Fabrizio Riguzzi. Expectation Maximization over binary decision diagrams for probabilistic logic programs. Intelligent Data Analysis, 17(2):343–363, 2013. URL: http://ds.ing.unife.it/~friguzzi/Papers/BelRig13-IDA-IJ.pdf.
    - - - - - -
    [BR15]Elena Bellodi and Fabrizio Riguzzi. Structure learning of probabilistic logic programs by searching the clause space. Theory and Practice of Logic Programming, 15(2):169–212, 2015. URL: http://arxiv.org/abs/1309.2080, doi:10.1017/S1471068413000689.
    - - - - - -
    [Coh95]William W. Cohen. Pac-learning non-recursive prolog clauses. Artif. Intell., 79(1):1–38, 1995.
    - - - - - -
    [DRKT07]L. De Raedt, A. Kimmig, and H. Toivonen. ProbLog: a probabilistic Prolog and its application in link discovery. In International Joint Conference on Artificial Intelligence, 2462–2467. 2007.
    - - - - - -
    [DRVL95]L. De Raedt and W. Van Laer. Inductive constraint logic. In Proceedings of the 6th Conference on Algorithmic Learning Theory (ALT 1995), volume 997 of LNAI, 80–94. Fukuoka, Japan, 1995. Springer.
    - - - - - -
    [DMBR15]Nicola Di Mauro, Elena Bellodi, and Fabrizio Riguzzi. Bandit-based Monte-Carlo structure learning of probabilistic logic programs. Mach. Learn., 100(1):127–156, July 2015. URL: http://ds.ing.unife.it/~friguzzi/Papers/DiMBelRig-ML15.pdf, doi:10.1007/s10994-015-5510-3.
    - - - - - -
    [FC90]Robert M Fung and Kuo-Chu Chang. Weighing and integrating evidence for stochastic simulation in bayesian networks. In Fifth Annual Conference on Uncertainty in Artificial Intelligence, 209–220. North-Holland Publishing Co., 1990.
    - - - - - -
    [IRR12]Muhammad Asiful Islam, CR Ramakrishnan, and IV Ramakrishnan. Inference in probabilistic logic programs with continuous random variables. Theory and Practice of Logic Programming, 12:505–523, 7 2012. doi:10.1017/S1471068412000154.
    - - - - - -
    [NR14](1, 2, 3) Arun Nampally and CR Ramakrishnan. Adaptive mcmc-based inference in probabilistic logic programs. arXiv preprint arXiv:1403.6036, 2014. URL: http://arxiv.org/pdf/1403.6036.pdf.
    - - - - - -
    [NDLDR16](1, 2) Davide Nitti, Tinne De Laet, and Luc De Raedt. Probabilistic logic programming for hybrid relational domains. Mach. Learn., 103(3):407–449, 2016. URL: http://dx.doi.org/10.1007/s10994-016-5558-8, doi:10.1007/s10994-016-5558-8.
    - - - - - -
    [Pea00]J. Pearl. Causality. Cambridge University Press, 2000.
    - - - - - -
    [Poo97]David Poole. The independent choice logic for modelling multiple agents under uncertainty. Artificial Intelligence, 94(1-2):7–56, 1997.
    - - - - - -
    [Rig13]Fabrizio Riguzzi. MCINTYRE: a Monte Carlo system for probabilistic logic programming. Fundamenta Informaticae, 124(4):521–541, 2013. URL: http://ds.ing.unife.it/~friguzzi/Papers/Rig13-FI-IJ.pdf, doi:10.3233/FI-2013-847.
    - - - - - -
    [RS10]Fabrizio Riguzzi and Terrance Swift. Tabling and Answer Subsumption for Reasoning on Logic Programs with Annotated Disjunctions. In Technical Communications of the International Conference on Logic Programming, volume 7 of Leibniz International Proceedings in Informatics (LIPIcs), 162–171. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, 2010. doi:10.4230/LIPIcs.ICLP.2010.162.
    - - - - - -
    [SK97]Taisuke Sato and Yoshitaka Kameya. Prism: a language for symbolic-statistical modeling. In International Joint Conference on Artificial Intelligence, 1330–1339. 1997.
    - - - - - -
    [SK01](1, 2) Taisuke Sato and Yoshitaka Kameya. Parameter learning of logic programs for symbolic-statistical modeling. J. Artif. Intell. Res., 15:391–454, 2001.
    - - - - - -
    [SRV+15](1, 2) Dimitar Sht. Shterionov, Joris Renkens, Jonas Vlasselaer, Angelika Kimmig, Wannes Meert, and Gerda Janssens. The most probable explanation for probabilistic logic programs with annotated disjunctions. In Jesse Davis and Jan Ramon, editors, International Conference on Inductive Logic Programming, volume 9046 of LNCS, 139–153. Berlin, Heidelberg, 2015. Springer. doi:10.1007/978-3-319-23708-4_10.
    - - - - - -
    [VdBTVODR10]Guy Van den Broeck, Ingo Thon, Martijn Van Otterlo, and Luc De Raedt. Dtproblog: a decision-theoretic probabilistic prolog. In Twenty-Fourth AAAI Conference on Artificial Intelligence. 2010.
    - - - - - -
    [VDB06]J. Vennekens, M. Denecker, and M. Bruynooghe. Representing causal information about a probabilistic process. In Proceedings of the 10th European Conference on Logics in Artificial Intelligence, LNAI. Springer, September 2006.
    - - - - - -
    [VDB09]J. Vennekens, Marc Denecker, and Maurice Bruynooghe. CP-logic: a language of causal probabilistic events and its relation to logic programming. Theory Pract. Log. Program., 9(3):245–308, 2009.
    - - - - - -
    [VV03]J. Vennekens and S. Verbaeten. Logic programs with annotated disjunctions. Technical Report CW386, K. U. Leuven, 2003.
    - - - - - -
    [VVB04](1, 2) J. Vennekens, S. Verbaeten, and M. Bruynooghe. Logic programs with annotated disjunctions. In International Conference on Logic Programming, volume 3131 of LNCS, 195–209. Springer, 2004.
    - - - - - -
    [VN51]John Von Neumann. Various techniques used in connection with random digits. Nat. Bureau Stand. Appl. Math. Ser., 12:36–38, 1951.
    +

    +
    BARZ20
    +

    Elena Bellodi, Marco Alberti, Fabrizio Riguzzi, and Riccardo Zese. MAP inference for probabilistic logic programming. Theory and Practice of Logic Programming, 20(5):641–655, 2020. URL: https://arxiv.org/abs/2008.01394, doi:10.1017/S1471068420000174.

    +
    +
    BR11
    +

    Elena Bellodi and Fabrizio Riguzzi. EM over binary decision diagrams for probabilistic logic programs. Technical Report CS-2011-01, Dipartimento di Ingegneria, Università di Ferrara, Italy, 2011. URL: http://ml.unife.it/wp-content/uploads/Papers/BelRig-CILC11.pdf.

    +
    +
    BR13a
    +

    Elena Bellodi and Fabrizio Riguzzi. Expectation maximization over binary decision diagrams for probabilistic logic programs. Intelligent Data Analysis, 17(2):343–363, 2013.

    +
    +
    BR13b
    +

    Elena Bellodi and Fabrizio Riguzzi. Expectation Maximization over binary decision diagrams for probabilistic logic programs. Intelligent Data Analysis, 17(2):343–363, 2013. URL: http://ds.ing.unife.it/~friguzzi/Papers/BelRig13-IDA-IJ.pdf.

    +
    +
    BR15
    +

    Elena Bellodi and Fabrizio Riguzzi. Structure learning of probabilistic logic programs by searching the clause space. Theory and Practice of Logic Programming, 15(2):169–212, 2015. URL: http://arxiv.org/abs/1309.2080, doi:10.1017/S1471068413000689.

    +
    +
    Coh95
    +

    William W. Cohen. Pac-learning non-recursive prolog clauses. Artif. Intell., 79(1):1–38, 1995.

    +
    +
    DRKT07
    +

    L. De Raedt, A. Kimmig, and H. Toivonen. ProbLog: a probabilistic Prolog and its application in link discovery. In International Joint Conference on Artificial Intelligence, 2462–2467. 2007.

    +
    +
    DRVL95
    +

    L. De Raedt and W. Van Laer. Inductive constraint logic. In Proceedings of the 6th Conference on Algorithmic Learning Theory (ALT 1995), volume 997 of LNAI, 80–94. Fukuoka, Japan, 1995. Springer.

    +
    +
    DMBR15
    +

    Nicola Di Mauro, Elena Bellodi, and Fabrizio Riguzzi. Bandit-based Monte-Carlo structure learning of probabilistic logic programs. Mach. Learn., 100(1):127–156, July 2015. URL: http://ds.ing.unife.it/~friguzzi/Papers/DiMBelRig-ML15.pdf, doi:10.1007/s10994-015-5510-3.

    +
    +
    FC90
    +

    Robert M Fung and Kuo-Chu Chang. Weighing and integrating evidence for stochastic simulation in bayesian networks. In Fifth Annual Conference on Uncertainty in Artificial Intelligence, 209–220. North-Holland Publishing Co., 1990.

    +
    +
    IRR12
    +

    Muhammad Asiful Islam, CR Ramakrishnan, and IV Ramakrishnan. Inference in probabilistic logic programs with continuous random variables. Theory and Practice of Logic Programming, 12:505–523, 7 2012. doi:10.1017/S1471068412000154.

    +
    +
    NR14(1,2,3)
    +

    Arun Nampally and CR Ramakrishnan. Adaptive mcmc-based inference in probabilistic logic programs. arXiv preprint arXiv:1403.6036, 2014. URL: http://arxiv.org/pdf/1403.6036.pdf.

    +
    +
    NDLDR16(1,2)
    +

    Davide Nitti, Tinne De Laet, and Luc De Raedt. Probabilistic logic programming for hybrid relational domains. Mach. Learn., 103(3):407–449, 2016. URL: http://dx.doi.org/10.1007/s10994-016-5558-8, doi:10.1007/s10994-016-5558-8.

    +
    +
    Pea00
    +

    J. Pearl. Causality. Cambridge University Press, 2000.

    +
    +
    Poo97
    +

    David Poole. The independent choice logic for modelling multiple agents under uncertainty. Artificial Intelligence, 94(1-2):7–56, 1997.

    +
    +
    Rig13
    +

    Fabrizio Riguzzi. MCINTYRE: a Monte Carlo system for probabilistic logic programming. Fundamenta Informaticae, 124(4):521–541, 2013. URL: http://ds.ing.unife.it/~friguzzi/Papers/Rig13-FI-IJ.pdf, doi:10.3233/FI-2013-847.

    +
    +
    RS10
    +

    Fabrizio Riguzzi and Terrance Swift. Tabling and Answer Subsumption for Reasoning on Logic Programs with Annotated Disjunctions. In Technical Communications of the International Conference on Logic Programming, volume 7 of Leibniz International Proceedings in Informatics (LIPIcs), 162–171. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, 2010. doi:10.4230/LIPIcs.ICLP.2010.162.

    +
    +
    SK97
    +

    Taisuke Sato and Yoshitaka Kameya. Prism: a language for symbolic-statistical modeling. In International Joint Conference on Artificial Intelligence, 1330–1339. 1997.

    +
    +
    SK01(1,2)
    +

    Taisuke Sato and Yoshitaka Kameya. Parameter learning of logic programs for symbolic-statistical modeling. J. Artif. Intell. Res., 15:391–454, 2001.

    +
    +
    SRV+15(1,2)
    +

    Dimitar Sht. Shterionov, Joris Renkens, Jonas Vlasselaer, Angelika Kimmig, Wannes Meert, and Gerda Janssens. The most probable explanation for probabilistic logic programs with annotated disjunctions. In Jesse Davis and Jan Ramon, editors, International Conference on Inductive Logic Programming, volume 9046 of LNCS, 139–153. Berlin, Heidelberg, 2015. Springer. doi:10.1007/978-3-319-23708-4_10.

    +
    +
    VdBTVODR10
    +

    Guy Van den Broeck, Ingo Thon, Martijn Van Otterlo, and Luc De Raedt. Dtproblog: a decision-theoretic probabilistic prolog. In Twenty-Fourth AAAI Conference on Artificial Intelligence. 2010.

    +
    +
    VDB06
    +

    J. Vennekens, M. Denecker, and M. Bruynooghe. Representing causal information about a probabilistic process. In Proceedings of the 10th European Conference on Logics in Artificial Intelligence, LNAI. Springer, September 2006.

    +
    +
    VDB09
    +

    J. Vennekens, Marc Denecker, and Maurice Bruynooghe. CP-logic: a language of causal probabilistic events and its relation to logic programming. Theory Pract. Log. Program., 9(3):245–308, 2009.

    +
    +
    VV03
    +

    J. Vennekens and S. Verbaeten. Logic programs with annotated disjunctions. Technical Report CW386, K. U. Leuven, 2003.

    +
    +
    VVB04(1,2)
    +

    J. Vennekens, S. Verbaeten, and M. Bruynooghe. Logic programs with annotated disjunctions. In International Conference on Logic Programming, volume 3131 of LNCS, 195–209. Springer, 2004.

    +
    +
    VN51
    +

    John Von Neumann. Various techniques used in connection with random digits. Nat. Bureau Stand. Appl. Math. Ser., 12:36–38, 1951.

    +
    +

    -
    -
    + + +
    @@ -2027,12 +1919,13 @@

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    • +
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    • \ No newline at end of file diff --git a/packs_lib/cplint/docs/_build/html/objects.inv b/packs_lib/cplint/docs/_build/html/objects.inv index 59711b080d71f6e68b5e4b1f4c38d10ee16e8584..20ff5edd4d641ae68c73340c3eba122b9c66be85 100644 GIT binary patch delta 1015 zcmV5oZ`(K!hVT3p1UARA!6LWb5-V*D*nk?R*)t{4Hn$R~kW>=? z`yEpJ5Vw((-9vy#dfs;?!x@sPX#MM?=d7d~~7e}U;sM&1b z5hMxRjLL0zfoj=x5KGTmT;YvJfE5j7Bn3D;4@_~Uu@o3y8!iSpX#7GIr&Y`5?Is?? zdk`r|@*v4$Gl};j#oMHKPl27wt>L;>%&`BTS#Vg-s|c~OtU{`=b``C7%gqHhOlUAz zPA1f2A|y#TDStvaaV`RYps%U4$4vT#Sd` zW89Wo)F}GO#R*r)(8E-RAG3zdT}C_U>l`33{EFb1>Cd)QFi){{=7I*;4qxaL{B7#s8v~{2jjVH*|FngypL|!7 zGmeXXFpDI72TB{-wyxfbaKb=ilx&82Rg*B(Qh#w8=!xNq)A^bPia2T)GTU92PC$aR;hklDcZ8-O7tO!*pg{r`i21W)A1Y2d#zg0DX)1z{{V>GL?0e%1+D-9 delta 1360 zcmV-W1+V(y2)7H6cz>8pbK5o$hVT3poN12PNQz@O$}N$SRx|btV>#&=Bq0eh2rwWh zTmQZb5a5R$f@%*Qo7D5Z3jw zHz0K2s!?wIizt&tf%91f;;kHltjL*}9d!6rQ^jZ%<5b~m%|tEhDn1d#NXqHBUC#rY z2S@>(2Xr2*UVpsrUA$En@26+S#+I`xQ&iLcKQiwyJ+8HnH5ip2D&}WOQpTA+$2k=h z8iWVq=c6ZtPS~4-r02Z$K!ml!gf`=+B=aS3Z2FPKN;$>lyiQB{SKz40)!U_GGm zfX)HDLlFF)aA>}Kqk5jInV=K4|3 z{~Q$?g-NF!SOs(nc;!|REgzScdwG7~#LHQA(3k~M$dfuf7RSYhOC0f!*E;8Xl(oX_ zs%ALIOdhCMUWYBc0C1FE@EfmEN=~P~aNo-dUV0q~Q_b|v7Z?KOi^XO&hg ztxdZa&-k{<42pdqZM(~$-1|t>7hv&a9GkuAF=wI4b0~IC1x^J{wH|t|oafel8s+jy za7l98a?i1%Rn4)m^#M2P{Q)=Xn3QZhvQyi3dw&L}2B*g302uY!$M|kz+`o?TIoU+H zB2P^0<1`QKWex%ht)1e_dR-0WJE^c;mb0Ry7g+%cus4=q1btiUboV)#-6dZm`b>(F z(|E^1yO5)xp}soJH}ljwV5g<3#AG1htnywjdGERzzHj~IF2+Tkw3RzB*w=w7+SOve zSbr|(Pn7KsW+Fl*v!}wo8AAT8<#3evXM|_F(%NCEws|&Y?O{{bKCR-v`VKCOqAq$a zv!Tm>+S8_wVsCnfE+)!a2TA-KsY(;hr_Q6B9)=pNWL{^JnhuLN5&N3#X`C`LKBt}n zOWk_S7kr91B}#2)LpAd*59H65B9Iq zt2~4MpjqfUoC;eGCeg5l-&6VXQNR(Mtp-B+MwK8IAw$MDoCN(wx}2cX0u$g--K+GQ=|H`U~R zv%T|ssM+#OE15K~SZjfgx2SR^c*^C3F0X-b9XKnRucoM*>(BxGzJ-wgRWn5kDs))U zVNr9H-La`76LNT&Sj>TCytKc9cz=bfm>q^l^R6l6ZS#48jR{%o44P%3F>gH+;UNdR zVXf$N#KCG>fJHmXGs{yt^k=I zmR}j(Y1M>IIn8}^A_Cj)JlAd22GSL;C3s;^RSieV8JXWq(RiDlUrqg|$Z;QR&DdXI ST#Ci=da<|)QvU+?{R5Gb*sHw& diff --git a/packs_lib/cplint/docs/_build/html/search.html b/packs_lib/cplint/docs/_build/html/search.html index 0fd5dcf342..c454e3ccbb 100644 --- a/packs_lib/cplint/docs/_build/html/search.html +++ b/packs_lib/cplint/docs/_build/html/search.html @@ -1,32 +1,26 @@ - + - + - - + + Search — cplint 4.5 documentation - - + + - - - - - - + + + + - + + - - - + @@ -36,7 +30,8 @@

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    • @@ -46,29 +41,37 @@

    Navigation

    Search

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    - From here you can search these documents. Enter your search - words into the box below and click "search". Note that the search - function will automatically search for all of the words. Pages - containing fewer words won't appear in the result list. + Searching for multiple words only shows matches that contain + all words.

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on SWISH Manual - SWI-Prolog Version"],titleterms:{an:0,api:0,background:0,bdd:0,bia:0,c3:0,causal:0,claus:0,command:0,condit:0,continu:0,cpl:0,cplint:0,dataset:0,decis:0,densiti:0,discret:0,distribut:0,download:0,draw:0,exampl:0,file:0,graph:0,infer:0,initi:0,input:0,instal:0,interpret:0,introduct:0,js:0,languag:0,learn:0,licens:0,lpad:0,manual:0,map:0,mpe:0,paramet:0,pdf:0,preambl:0,prism:0,probabl:0,problog:0,program:0,prolog:0,queri:0,r:0,refer:0,requir:0,result:0,semant:0,structur:0,support:0,swi:0,swish:0,syntax:0,test:0,theori:0,through:0,uncondit:0,us:0,variabl:0,version:0,viterbi:0}}) \ No newline at end of file diff --git a/packs_lib/cplint/docs/_build/latex/LICRlatin2utf8.xdy b/packs_lib/cplint/docs/_build/latex/LICRlatin2utf8.xdy index 31c80f97ce..1d768259cd 100644 --- a/packs_lib/cplint/docs/_build/latex/LICRlatin2utf8.xdy +++ b/packs_lib/cplint/docs/_build/latex/LICRlatin2utf8.xdy @@ -24,7 +24,7 @@ ;; covered by original tex/inputenc/utf8.xdy. ;; ;; - There is a problem that ȷ is not supported out-of-the box by LaTeX -;; with inputenc, one must add explicitely +;; with inputenc, one must add explicitly ;; \DeclareUnicodeCharacter{0237}{\j} ;; to preamble of LaTeX document. However this character is not supported ;; by the TeX "times" font used by default by Sphinx for pdflatex engine. diff --git a/packs_lib/cplint/docs/_build/latex/Makefile b/packs_lib/cplint/docs/_build/latex/Makefile index c561680ad7..e4653f2364 100644 --- a/packs_lib/cplint/docs/_build/latex/Makefile +++ b/packs_lib/cplint/docs/_build/latex/Makefile @@ -5,14 +5,13 @@ ALLPDF = $(addsuffix .pdf,$(ALLDOCS)) ALLDVI = $(addsuffix .dvi,$(ALLDOCS)) ALLXDV = ALLPS = $(addsuffix .ps,$(ALLDOCS)) -ALLIMGS = $(wildcard *.png *.gif *.jpg *.jpeg) # Prefix for archive names ARCHIVEPREFIX = # Additional LaTeX options (passed via variables in latexmkrc/latexmkjarc file) -export LATEXOPTS = +export LATEXOPTS ?= # Additional latexmk options -LATEXMKOPTS = +LATEXMKOPTS ?= # format: pdf or dvi (used only by archive targets) FMT = pdf @@ -20,9 +19,6 @@ LATEX = latexmk -dvi PDFLATEX = latexmk -pdf -dvi- -ps- -%.png %.gif %.jpg %.jpeg: FORCE_MAKE - extractbb '$@' - %.dvi: %.tex FORCE_MAKE $(LATEX) 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Flagged for removal -\def\sphinxbelowcaptionskip{\z@skip}% Do not use! Flagged for removal -% This wrapper of \abovecaptionskip is used in sphinxVerbatim for top -% caption, and with another value in sphinxVerbatimintable -% TODO: To unify space above caption of a code-block with the one above -% caption of a table/longtable, \abovecaptionskip must not be used -% This auxiliary will get renamed and receive a different meaning -% in future. -\def\spx@abovecaptionskip{\abovecaptionskip}% -% Achieve \sphinxbelowcaptionspace below a caption located above a tabular -% or a tabulary -\newcommand\sphinxaftertopcaption -{% - \spx@ifcaptionpackage - {\par\prevdepth\dp\strutbox\nobreak\vskip-\abovecaptionskip}{\nobreak}% - \vskip\dimexpr\sphinxbelowcaptionspace\relax - \vskip-\baselineskip\vskip-\parskip -}% -% varwidth is crucial for our handling of general contents in merged cells -\RequirePackage{varwidth} -% but addition of a compatibility patch with hyperref is needed -% (tested with varwidth v 0.92 Mar 2009) -\AtBeginDocument {% - \let\@@vwid@Hy@raisedlink\Hy@raisedlink - \long\def\@vwid@Hy@raisedlink#1{\@vwid@wrap{\@@vwid@Hy@raisedlink{#1}}}% - \edef\@vwid@setup{% - \let\noexpand\Hy@raisedlink\noexpand\@vwid@Hy@raisedlink % HYPERREF ! - \unexpanded\expandafter{\@vwid@setup}}% -}% -% Homemade package to handle merged cells -\RequirePackage{sphinxmulticell} -\RequirePackage{makeidx} -% For framing code-blocks and warning type notices, and shadowing topics -\RequirePackage{framed} + +% We first handle options then load packages, but we need \definecolor from +% xcolor/color. + +% FIXME: we should \RequirePackage{xcolor} always now % The xcolor package draws better fcolorboxes around verbatim code \IfFileExists{xcolor.sty}{ \RequirePackage{xcolor} }{ \RequirePackage{color} } -% For highlighted code. -\RequirePackage{fancyvrb} -\define@key{FV}{hllines}{\def\sphinx@verbatim@checkifhl##1{\in@{, ##1,}{#1}}} -% sphinxVerbatim must be usable by third party without requiring hllines set-up -\def\sphinxresetverbatimhllines{\def\sphinx@verbatim@checkifhl##1{\in@false}} -\sphinxresetverbatimhllines -% For hyperlinked footnotes in tables; also for gathering footnotes from -% topic and warning blocks. Also to allow code-blocks in footnotes. -\RequirePackage{footnotehyper-sphinx} -% For the H specifier. Do not \restylefloat{figure}, it breaks Sphinx code -% for allowing figures in tables. -\RequirePackage{float} -% For floating figures in the text. Better to load after float. -\RequirePackage{wrapfig} -% Separate paragraphs by space by default. -\RequirePackage{parskip} -% For parsed-literal blocks. -\RequirePackage{alltt} -% Display "real" single quotes in literal blocks. -\RequirePackage{upquote} -% control caption around literal-block -\RequirePackage{capt-of} -\RequirePackage{needspace} -% LaTeX 2018-04-01 and later provides \@removefromreset -\ltx@ifundefined{@removefromreset} - {\RequirePackage{remreset}} - {}% avoid warning -% to make pdf with correct encoded bookmarks in Japanese -% this should precede the hyperref package -\ifx\kanjiskip\@undefined -% for non-Japanese: make sure bookmarks are ok also with lualatex - \PassOptionsToPackage{pdfencoding=unicode}{hyperref} -\else - \RequirePackage{atbegshi} - \ifx\ucs\@undefined - \ifnum 42146=\euc"A4A2 - \AtBeginShipoutFirst{\special{pdf:tounicode EUC-UCS2}} - \else - \AtBeginShipoutFirst{\special{pdf:tounicode 90ms-RKSJ-UCS2}} - \fi - \else - \AtBeginShipoutFirst{\special{pdf:tounicode UTF8-UCS2}} - \fi -\fi - -\ifx\@jsc@uplatextrue\@undefined\else - \PassOptionsToPackage{setpagesize=false}{hyperref} -\fi - -% These options can be overriden inside 'hyperref' key -% or by later use of \hypersetup. -\PassOptionsToPackage{colorlinks,breaklinks,% - linkcolor=InnerLinkColor,filecolor=OuterLinkColor,% - menucolor=OuterLinkColor,urlcolor=OuterLinkColor,% - citecolor=InnerLinkColor}{hyperref} - -% stylesheet for highlighting with pygments -\RequirePackage{sphinxhighlight} -% fix baseline increase from Pygments latex formatter in case of error tokens -% and keep \fboxsep's scope local via added braces -\def\PYG@tok@err{% - \def\PYG@bc##1{{\setlength{\fboxsep}{-\fboxrule}% - \fcolorbox[rgb]{1.00,0.00,0.00}{1,1,1}{\strut ##1}}}% -} -\def\PYG@tok@cs{% - \def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}% - \def\PYG@bc##1{{\setlength{\fboxsep}{0pt}% - \colorbox[rgb]{1.00,0.94,0.94}{\strut ##1}}}% -}% - -%% OPTIONS -% % Handle options via "kvoptions" (later loaded by hyperref anyhow) \RequirePackage{kvoptions} \SetupKeyvalOptions{prefix=spx@opt@} % use \spx@opt@ prefix @@ -298,6 +65,8 @@ \DeclareStringOption[-1]{numfigreset} \DeclareBoolOption[false]{nonumfigreset} \DeclareBoolOption[false]{mathnumfig} +\define@key{sphinx}{bookmarksdepth}{\AtBeginDocument{\hypersetup{bookmarksdepth=#1}}} +\AtBeginDocument{\define@key{sphinx}{bookmarksdepth}{\hypersetup{bookmarksdepth=#1}}} % \DeclareBoolOption[false]{usespart}% not used % dimensions, we declare the \dimen registers here. \newdimen\sphinxverbatimsep @@ -308,7 +77,7 @@ % \DeclareStringOption is not convenient for the handling of these dimensions % because we want to assign the values to the corresponding registers. Even if % we added the code to the key handler it would be too late for the initial -% set-up and we would need to do initial assignments explicitely. We end up +% set-up and we would need to do initial assignments explicitly. We end up % using \define@key directly. % verbatim \sphinxverbatimsep=\fboxsep @@ -325,6 +94,9 @@ % verbatim \DeclareBoolOption[true]{verbatimwithframe} \DeclareBoolOption[true]{verbatimwrapslines} +\DeclareBoolOption[false]{verbatimforcewraps} +\DeclareStringOption[3]{verbatimmaxoverfull} +\DeclareStringOption[100]{verbatimmaxunderfull} \DeclareBoolOption[true]{verbatimhintsturnover} \DeclareBoolOption[true]{inlineliteralwraps} \DeclareStringOption[t]{literalblockcappos} @@ -403,332 +175,31 @@ \DisableKeyvalOption{sphinx}{numfigreset} \DisableKeyvalOption{sphinx}{nonumfigreset} \DisableKeyvalOption{sphinx}{mathnumfig} +% FIXME: this is unrelated to an option, move this elsewhere +% To allow hyphenation of first word in narrow contexts; no option, +% customization to be done via 'preamble' key +\newcommand*\sphinxAtStartPar{\leavevmode\nobreak\hskip\z@skip} +% No need for the \hspace{0pt} trick (\hskip\z@skip) with luatex +\ifdefined\directlua\let\sphinxAtStartPar\@empty\fi % user interface: options can be changed midway in a document! \newcommand\sphinxsetup[1]{\setkeys{sphinx}{#1}} -%% MAXLISTDEPTH -% -% remove LaTeX's cap on nesting depth if 'maxlistdepth' key used. -% This is a hack, which works with the standard classes: it assumes \@toodeep -% is always used in "true" branches: "\if ... \@toodeep \else .. \fi." - -% will force use the "false" branch (if there is one) -\def\spx@toodeep@hack{\fi\iffalse} - -% do nothing if 'maxlistdepth' key not used or if package enumitem loaded. -\ifnum\spx@opt@maxlistdepth=\z@\expandafter\@gobbletwo\fi -\AtBeginDocument{% -\@ifpackageloaded{enumitem}{\remove@to@nnil}{}% - \let\spx@toodeepORI\@toodeep - \def\@toodeep{% - \ifnum\@listdepth<\spx@opt@maxlistdepth\relax - \expandafter\spx@toodeep@hack - \else - \expandafter\spx@toodeepORI - \fi}% -% define all missing \@list... macros - \count@\@ne - \loop - \ltx@ifundefined{@list\romannumeral\the\count@} - {\iffalse}{\iftrue\advance\count@\@ne}% - \repeat - \loop - \ifnum\count@>\spx@opt@maxlistdepth\relax\else - \expandafter\let - \csname @list\romannumeral\the\count@\expandafter\endcsname - \csname @list\romannumeral\the\numexpr\count@-\@ne\endcsname - % workaround 2.6--3.2d babel-french issue (fixed in 3.2e; no change needed) - \ltx@ifundefined{leftmargin\romannumeral\the\count@} - {\expandafter\let - \csname leftmargin\romannumeral\the\count@\expandafter\endcsname - \csname leftmargin\romannumeral\the\numexpr\count@-\@ne\endcsname}{}% - \advance\count@\@ne - \repeat -% define all missing enum... counters and \labelenum... macros and \p@enum.. - \count@\@ne - \loop - \ltx@ifundefined{c@enum\romannumeral\the\count@} - {\iffalse}{\iftrue\advance\count@\@ne}% - \repeat - \loop - \ifnum\count@>\spx@opt@maxlistdepth\relax\else - \newcounter{enum\romannumeral\the\count@}% - \expandafter\def - \csname labelenum\romannumeral\the\count@\expandafter\endcsname - \expandafter - {\csname theenum\romannumeral\the\numexpr\count@\endcsname.}% - \expandafter\def - \csname p@enum\romannumeral\the\count@\expandafter\endcsname - \expandafter - {\csname p@enum\romannumeral\the\numexpr\count@-\@ne\expandafter - \endcsname\csname theenum\romannumeral\the\numexpr\count@-\@ne\endcsname.}% - \advance\count@\@ne - \repeat -% define all missing labelitem... macros - \count@\@ne - \loop - \ltx@ifundefined{labelitem\romannumeral\the\count@} - {\iffalse}{\iftrue\advance\count@\@ne}% - \repeat - \loop - \ifnum\count@>\spx@opt@maxlistdepth\relax\else - \expandafter\let - \csname labelitem\romannumeral\the\count@\expandafter\endcsname - \csname labelitem\romannumeral\the\numexpr\count@-\@ne\endcsname - \advance\count@\@ne - \repeat - \PackageInfo{sphinx}{maximal list depth extended to \spx@opt@maxlistdepth}% -\@gobble\@nnil -} - - -%% INDEX, BIBLIOGRAPHY, APPENDIX, TABLE OF CONTENTS -% -% fix the double index and bibliography on the table of contents -% in jsclasses (Japanese standard document classes) -\ifx\@jsc@uplatextrue\@undefined\else - \renewenvironment{sphinxtheindex} - {\cleardoublepage\phantomsection - \begin{theindex}} - {\end{theindex}} - - \renewenvironment{sphinxthebibliography}[1] - {\cleardoublepage% \phantomsection % not needed here since TeXLive 2010's hyperref - \begin{thebibliography}{#1}} - {\end{thebibliography}} -\fi - -% disable \@chappos in Appendix in pTeX -\ifx\kanjiskip\@undefined\else - \let\py@OldAppendix=\appendix - \renewcommand{\appendix}{ - \py@OldAppendix - \gdef\@chappos{} - } -\fi - -% make commands known to non-Sphinx document classes -\providecommand*{\sphinxtableofcontents}{\tableofcontents} -\ltx@ifundefined{sphinxthebibliography} - {\newenvironment - {sphinxthebibliography}{\begin{thebibliography}}{\end{thebibliography}}% - } - {}% else clause of \ltx@ifundefined -\ltx@ifundefined{sphinxtheindex} - {\newenvironment{sphinxtheindex}{\begin{theindex}}{\end{theindex}}}% - {}% else clause of \ltx@ifundefined - -% for usage with xindy: this string gets internationalized in preamble -\newcommand*{\sphinxnonalphabeticalgroupname}{} -% redefined in preamble, headings for makeindex produced index -\newcommand*{\sphinxsymbolsname}{} -\newcommand*{\sphinxnumbersname}{} - -%% COLOR (general) -% -% FIXME: \normalcolor should probably be used in place of \py@NormalColor -% elsewhere, and \py@NormalColor should never be defined. \normalcolor -% switches to the colour from last \color call in preamble. -\def\py@NormalColor{\color{black}} -% FIXME: it is probably better to use \color{TitleColor}, as TitleColor -% can be customized from 'sphinxsetup', and drop usage of \py@TitleColor -\def\py@TitleColor{\color{TitleColor}} -% FIXME: this line should be dropped, as "9" is default anyhow. -\ifdefined\pdfcompresslevel\pdfcompresslevel = 9 \fi - - -%% PAGE STYLING -% -% Style parameters and macros used by most documents here -\raggedbottom -\sloppy -\hbadness = 5000 % don't print trivial gripes - -% Use \pagestyle{normal} as the primary pagestyle for text. -% Redefine the 'normal' header/footer style when using "fancyhdr" package: -\@ifpackageloaded{fancyhdr}{% - \ltx@ifundefined{c@chapter} - {% no \chapter, "howto" (non-Japanese) docclass - \fancypagestyle{plain}{ - \fancyhf{} - \fancyfoot[C]{{\py@HeaderFamily\thepage}} - \renewcommand{\headrulewidth}{0pt} - \renewcommand{\footrulewidth}{0pt} - } - % Same as 'plain', this way we can use it in template - % FIXME: shouldn't this have a running header with Name and Release like 'manual'? - \fancypagestyle{normal}{ - \fancyhf{} - \fancyfoot[C]{{\py@HeaderFamily\thepage}} - \renewcommand{\headrulewidth}{0pt} - \renewcommand{\footrulewidth}{0pt} - } - }% - {% classes with \chapter command - \fancypagestyle{normal}{ - \fancyhf{} - % FIXME: this presupposes "twoside". - % If "oneside" class option, there are warnings in LaTeX log. - \fancyfoot[LE,RO]{{\py@HeaderFamily\thepage}} - \fancyfoot[LO]{{\py@HeaderFamily\nouppercase{\rightmark}}} - \fancyfoot[RE]{{\py@HeaderFamily\nouppercase{\leftmark}}} - \fancyhead[LE,RO]{{\py@HeaderFamily \@title\sphinxheadercomma\py@release}} - \renewcommand{\headrulewidth}{0.4pt} - \renewcommand{\footrulewidth}{0.4pt} - % define chaptermark with \@chappos when \@chappos is available for Japanese - \ltx@ifundefined{@chappos}{} - {\def\chaptermark##1{\markboth{\@chapapp\space\thechapter\space\@chappos\space ##1}{}}} - } - % Update the plain style so we get the page number & footer line, - % but not a chapter or section title. This is to keep the first - % page of a chapter `clean.' - \fancypagestyle{plain}{ - \fancyhf{} - \fancyfoot[LE,RO]{{\py@HeaderFamily\thepage}} - \renewcommand{\headrulewidth}{0pt} - \renewcommand{\footrulewidth}{0.4pt} - } - } - } - {% no fancyhdr: memoir class - % Provide default for 'normal' style simply as an alias of 'plain' style - % This way we can use \pagestyle{normal} in LaTeX template - \def\ps@normal{\ps@plain} - % Users of memoir class are invited to redefine 'normal' style in preamble - } - -% geometry -\ifx\kanjiskip\@undefined - \PassOptionsToPackage{% - hmargin={\unexpanded{\spx@opt@hmargin}},% - vmargin={\unexpanded{\spx@opt@vmargin}},% - marginpar=\unexpanded{\spx@opt@marginpar}} - {geometry} -\else - % set text width for Japanese documents to be integer multiple of 1zw - % and text height to be integer multiple of \baselineskip - % the execution is delayed to \sphinxsetup then geometry.sty - \normalsize\normalfont - \newcommand*\sphinxtextwidthja[1]{% - \if@twocolumn\tw@\fi - \dimexpr - \numexpr\dimexpr\paperwidth-\tw@\dimexpr#1\relax\relax/ - \dimexpr\if@twocolumn\tw@\else\@ne\fi zw\relax - zw\relax}% - \newcommand*\sphinxmarginparwidthja[1]{% - \dimexpr\numexpr\dimexpr#1\relax/\dimexpr1zw\relax zw\relax}% - \newcommand*\sphinxtextlinesja[1]{% - \numexpr\@ne+\dimexpr\paperheight-\topskip-\tw@\dimexpr#1\relax\relax/ - \baselineskip\relax}% - \ifx\@jsc@uplatextrue\@undefined\else - % the way we found in order for the papersize special written by - % geometry in the dvi file to be correct in case of jsbook class - \ifnum\mag=\@m\else % do nothing special if nomag class option or 10pt - \PassOptionsToPackage{truedimen}{geometry}% - \fi - \fi - \PassOptionsToPackage{% - hmarginratio={1:1},% - textwidth=\unexpanded{\sphinxtextwidthja{\spx@opt@hmargin}},% - vmarginratio={1:1},% - lines=\unexpanded{\sphinxtextlinesja{\spx@opt@vmargin}},% - marginpar=\unexpanded{\sphinxmarginparwidthja{\spx@opt@marginpar}},% - footskip=2\baselineskip,% - }{geometry}% - \AtBeginDocument - {% update a dimension used by the jsclasses - \ifx\@jsc@uplatextrue\@undefined\else\fullwidth\textwidth\fi - % for some reason, jreport normalizes all dimensions with \@settopoint - \@ifclassloaded{jreport} - {\@settopoint\textwidth\@settopoint\textheight\@settopoint\marginparwidth} - {}% <-- "false" clause of \@ifclassloaded - }% -\fi - -% fix fncychap's bug which uses prematurely the \textwidth value -\@ifpackagewith{fncychap}{Bjornstrup} - {\AtBeginDocument{\mylen\textwidth\advance\mylen-2\myhi}}% - {}% <-- "false" clause of \@ifpackagewith - - -%% TITLES +%% MISCELLANEOUS CONTEXT % -% Since Sphinx 1.5, users should use HeaderFamily key to 'sphinxsetup' rather -% than defining their own \py@HeaderFamily command (which is still possible). -% Memo: \py@HeaderFamily is also used by \maketitle as defined in -% sphinxmanual.cls/sphinxhowto.cls -\newcommand{\py@HeaderFamily}{\spx@opt@HeaderFamily} - -% This sets up the fancy chapter headings that make the documents look -% at least a little better than the usual LaTeX output. -\@ifpackagewith{fncychap}{Bjarne}{ - \ChNameVar {\raggedleft\normalsize \py@HeaderFamily} - \ChNumVar {\raggedleft\Large \py@HeaderFamily} - \ChTitleVar{\raggedleft\Large \py@HeaderFamily} - % This creates (numbered) chapter heads without the leading \vspace*{}: - \def\@makechapterhead#1{% - {\parindent \z@ \raggedright \normalfont - \ifnum \c@secnumdepth >\m@ne - \if@mainmatter - \DOCH - \fi - \fi - \interlinepenalty\@M - \if@mainmatter - \DOTI{#1}% - \else% - \DOTIS{#1}% - \fi - }} -}{}% <-- "false" clause of \@ifpackagewith - -% Augment the sectioning commands used to get our own font family in place, -% and reset some internal data items (\titleformat from titlesec package) -\titleformat{\section}{\Large\py@HeaderFamily}% - {\py@TitleColor\thesection}{0.5em}{\py@TitleColor}{\py@NormalColor} -\titleformat{\subsection}{\large\py@HeaderFamily}% - {\py@TitleColor\thesubsection}{0.5em}{\py@TitleColor}{\py@NormalColor} -\titleformat{\subsubsection}{\py@HeaderFamily}% - {\py@TitleColor\thesubsubsection}{0.5em}{\py@TitleColor}{\py@NormalColor} -% By default paragraphs (and subsubsections) will not be numbered because -% sphinxmanual.cls and sphinxhowto.cls set secnumdepth to 2 -\titleformat{\paragraph}{\py@HeaderFamily}% - {\py@TitleColor\theparagraph}{0.5em}{\py@TitleColor}{\py@NormalColor} -\titleformat{\subparagraph}{\py@HeaderFamily}% - {\py@TitleColor\thesubparagraph}{0.5em}{\py@TitleColor}{\py@NormalColor} - - -%% GRAPHICS +% flag to be set in a framed environment +% (defined here as currently needed by three sphinxlatex....sty files and +% even if not needed if such files are replaced, the definition does no harm) +\newif\ifspx@inframed % -% \sphinxincludegraphics defined to resize images larger than the line width, -% except if height or width option present. +% \spx@ifcaptionpackage (defined at begin document) +% is needed currently in macros from: +% sphinxlatexliterals.sty (sphinxVerbatim) +% sphinxlatextables.sty (for some macros used in the table templates) % -% If scale is present, rescale before fitting to line width. (since 1.5) -\newbox\spx@image@box -\newcommand*{\sphinxincludegraphics}[2][]{% - \in@{height}{#1}\ifin@\else\in@{width}{#1}\fi - \ifin@ % height or width present - \includegraphics[#1]{#2}% - \else % no height nor width (but #1 may be "scale=...") - \setbox\spx@image@box\hbox{\includegraphics[#1,draft]{#2}}% - \ifdim \wd\spx@image@box>\linewidth - \setbox\spx@image@box\box\voidb@x % clear memory - \includegraphics[#1,width=\linewidth]{#2}% - \else - \includegraphics[#1]{#2}% - \fi - \fi -} - - -%% FIGURE IN TABLE +% \sphinxcaption is mark-up injected by the tabular and tabulary templates +% it is defined in sphinxlatextables.sty % -\newenvironment{sphinxfigure-in-table}[1][\linewidth]{% - \def\@captype{figure}% - \sphinxsetvskipsforfigintablecaption - \begin{minipage}{#1}% -}{\end{minipage}} % store the original \caption macro for usage with figures inside longtable % and tabulary cells. Make sure we get the final \caption in presence of % caption package, whether the latter was loaded before or after sphinx. @@ -744,1038 +215,137 @@ }% {\let\spx@ifcaptionpackage\@secondoftwo}% } -% tabulary expands twice contents, we need to prevent double counter stepping -\newcommand*\sphinxfigcaption - {\ifx\equation$%$% this is trick to identify tabulary first pass - \firstchoice@false\else\firstchoice@true\fi - \spx@originalcaption } -\newcommand*\sphinxsetvskipsforfigintablecaption - {\abovecaptionskip\smallskipamount - \belowcaptionskip\smallskipamount} - -%% CITATIONS -% -\protected\def\sphinxcite{\cite} - -%% FOOTNOTES +%% PASS OPTIONS % -% Support large numbered footnotes in minipage -% But now obsolete due to systematic use of \savenotes/\spewnotes -% when minipages are in use in the various macro definitions next. -\def\thempfootnote{\arabic{mpfootnote}} - - -%% NUMBERING OF FIGURES, TABLES, AND LITERAL BLOCKS -\ltx@ifundefined{c@chapter} - {\newcounter{literalblock}}% - {\newcounter{literalblock}[chapter]% - \def\theliteralblock{\ifnum\c@chapter>\z@\arabic{chapter}.\fi - \arabic{literalblock}}% - }% -\ifspx@opt@nonumfigreset - \ltx@ifundefined{c@chapter}{}{% - \@removefromreset{figure}{chapter}% - \@removefromreset{table}{chapter}% - \@removefromreset{literalblock}{chapter}% - \ifspx@opt@mathnumfig - \@removefromreset{equation}{chapter}% - \fi - }% - \def\thefigure{\arabic{figure}}% - \def\thetable {\arabic{table}}% - \def\theliteralblock{\arabic{literalblock}}% - \ifspx@opt@mathnumfig - \def\theequation{\arabic{equation}}% - \fi -\else -\let\spx@preAthefigure\@empty -\let\spx@preBthefigure\@empty -% \ifspx@opt@usespart % <-- LaTeX writer could pass such a 'usespart' boolean -% % as sphinx.sty package option -% If document uses \part, (triggered in Sphinx by latex_toplevel_sectioning) -% LaTeX core per default does not reset chapter or section -% counters at each part. -% But if we modify this, we need to redefine \thechapter, \thesection to -% include the part number and this will cause problems in table of contents -% because of too wide numbering. Simplest is to do nothing. -% \fi -\ifnum\spx@opt@numfigreset>0 - \ltx@ifundefined{c@chapter} - {} - {\g@addto@macro\spx@preAthefigure{\ifnum\c@chapter>\z@\arabic{chapter}.}% - \g@addto@macro\spx@preBthefigure{\fi}}% -\fi -\ifnum\spx@opt@numfigreset>1 - \@addtoreset{figure}{section}% - \@addtoreset{table}{section}% - \@addtoreset{literalblock}{section}% - \ifspx@opt@mathnumfig - \@addtoreset{equation}{section}% - \fi - \g@addto@macro\spx@preAthefigure{\ifnum\c@section>\z@\arabic{section}.}% - \g@addto@macro\spx@preBthefigure{\fi}% -\fi -\ifnum\spx@opt@numfigreset>2 - \@addtoreset{figure}{subsection}% - \@addtoreset{table}{subsection}% - \@addtoreset{literalblock}{subsection}% - \ifspx@opt@mathnumfig - \@addtoreset{equation}{subsection}% - \fi - \g@addto@macro\spx@preAthefigure{\ifnum\c@subsection>\z@\arabic{subsection}.}% - \g@addto@macro\spx@preBthefigure{\fi}% -\fi -\ifnum\spx@opt@numfigreset>3 - \@addtoreset{figure}{subsubsection}% - \@addtoreset{table}{subsubsection}% - \@addtoreset{literalblock}{subsubsection}% - \ifspx@opt@mathnumfig - \@addtoreset{equation}{subsubsection}% - \fi - \g@addto@macro\spx@preAthefigure{\ifnum\c@subsubsection>\z@\arabic{subsubsection}.}% - \g@addto@macro\spx@preBthefigure{\fi}% -\fi -\ifnum\spx@opt@numfigreset>4 - \@addtoreset{figure}{paragraph}% - \@addtoreset{table}{paragraph}% - \@addtoreset{literalblock}{paragraph}% - \ifspx@opt@mathnumfig - \@addtoreset{equation}{paragraph}% - \fi - \g@addto@macro\spx@preAthefigure{\ifnum\c@subparagraph>\z@\arabic{subparagraph}.}% - \g@addto@macro\spx@preBthefigure{\fi}% -\fi -\ifnum\spx@opt@numfigreset>5 - \@addtoreset{figure}{subparagraph}% - \@addtoreset{table}{subparagraph}% - \@addtoreset{literalblock}{subparagraph}% - \ifspx@opt@mathnumfig - \@addtoreset{equation}{subparagraph}% - \fi - \g@addto@macro\spx@preAthefigure{\ifnum\c@subsubparagraph>\z@\arabic{subsubparagraph}.}% - \g@addto@macro\spx@preBthefigure{\fi}% -\fi -\expandafter\g@addto@macro -\expandafter\spx@preAthefigure\expandafter{\spx@preBthefigure}% -\let\thefigure\spx@preAthefigure -\let\thetable\spx@preAthefigure -\let\theliteralblock\spx@preAthefigure -\g@addto@macro\thefigure{\arabic{figure}}% -\g@addto@macro\thetable{\arabic{table}}% -\g@addto@macro\theliteralblock{\arabic{literalblock}}% - \ifspx@opt@mathnumfig - \let\theequation\spx@preAthefigure - \g@addto@macro\theequation{\arabic{equation}}% - \fi -\fi +% pass options to hyperref; it must not have been loaded already +\input{sphinxoptionshyperref.sty} +% pass options to geometry; it must not have been loaded already +\input{sphinxoptionsgeometry.sty} -%% LITERAL BLOCKS +%% COLOR (general) % -% Based on use of "fancyvrb.sty"'s Verbatim. -% - with framing allowing page breaks ("framed.sty") -% - with breaking of long lines (exploits Pygments mark-up), -% - with possibly of a top caption, non-separable by pagebreak. -% - and usable inside tables or footnotes ("footnotehyper-sphinx"). - -% For extensions which use \OriginalVerbatim and compatibility with Sphinx < -% 1.5, we define and use these when (unmodified) Verbatim will be needed. But -% Sphinx >= 1.5 does not modify the \Verbatim macro anymore. -\let\OriginalVerbatim \Verbatim -\let\endOriginalVerbatim\endVerbatim - -% for captions of literal blocks -% at start of caption title -\newcommand*{\fnum@literalblock}{\literalblockname\nobreakspace\theliteralblock} -% this will be overwritten in document preamble by Babel translation -\newcommand*{\literalblockname}{Listing } -% file extension needed for \caption's good functioning, the file is created -% only if a \listof{literalblock}{foo} command is encountered, which is -% analogous to \listoffigures, but for the code listings (foo = chosen title.) -\newcommand*{\ext@literalblock}{lol} +% FIXME: these two should be deprecated +% +% FIXME: \normalcolor should be used and \py@NormalColor never defined +\def\py@NormalColor{\color{black}} +% FIXME: \color{TitleColor} should be used directly and \py@TitleColor +% should never get defined. +\def\py@TitleColor{\color{TitleColor}} -\newif\ifspx@inframed % flag set if we are already in a framed environment -% if forced use of minipage encapsulation is needed (e.g. table cells) -\newif\ifsphinxverbatimwithminipage \sphinxverbatimwithminipagefalse -% Framing macro for use with framed.sty's \FrameCommand -% - it obeys current indentation, -% - frame is \fboxsep separated from the contents, -% - the contents use the full available text width, -% - #1 = color of frame, #2 = color of background, -% - #3 = above frame, #4 = below frame, #5 = within frame, -% - #3 and #4 must be already typeset boxes; they must issue \normalcolor -% or similar, else, they are under scope of color #1 -\long\def\spx@fcolorbox #1#2#3#4#5{% - \hskip\@totalleftmargin - \hskip-\fboxsep\hskip-\fboxrule - % use of \color@b@x here is compatible with both xcolor.sty and color.sty - \color@b@x {\color{#1}\spx@CustomFBox{#3}{#4}}{\color{#2}}{#5}% - \hskip-\fboxsep\hskip-\fboxrule - \hskip-\linewidth \hskip-\@totalleftmargin \hskip\columnwidth -}% -% #1 = for material above frame, such as a caption or a "continued" hint -% #2 = for material below frame, such as a caption or "continues on next page" -% #3 = actual contents, which will be typeset with a background color -\long\def\spx@CustomFBox#1#2#3{% - \begingroup - \setbox\@tempboxa\hbox{{#3}}% inner braces to avoid color leaks - \vbox{#1% above frame - % draw frame border _latest_ to avoid pdf viewer issue - \kern\fboxrule - \hbox{\kern\fboxrule - \copy\@tempboxa - \kern-\wd\@tempboxa\kern-\fboxrule - \vrule\@width\fboxrule - \kern\wd\@tempboxa - \vrule\@width\fboxrule}% - \kern-\dimexpr\ht\@tempboxa+\dp\@tempboxa+\fboxrule\relax - \hrule\@height\fboxrule - \kern\dimexpr\ht\@tempboxa+\dp\@tempboxa\relax - \hrule\@height\fboxrule - #2% below frame - }% - \endgroup -}% -\def\spx@fcolorbox@put@c#1{% hide width from framed.sty measuring - \moveright\dimexpr\fboxrule+.5\wd\@tempboxa\hb@xt@\z@{\hss#1\hss}% -}% -\def\spx@fcolorbox@put@r#1{% right align with contents, width hidden - \moveright\dimexpr\fboxrule+\wd\@tempboxa-\fboxsep\hb@xt@\z@{\hss#1}% -}% -\def\spx@fcolorbox@put@l#1{% left align with contents, width hidden - \moveright\dimexpr\fboxrule+\fboxsep\hb@xt@\z@{#1\hss}% -}% +%% PACKAGES % -\def\sphinxVerbatim@Continued - {\csname spx@fcolorbox@put@\spx@opt@verbatimcontinuedalign\endcsname - {\normalcolor\sphinxstylecodecontinued\literalblockcontinuedname}}% -\def\sphinxVerbatim@Continues - {\csname spx@fcolorbox@put@\spx@opt@verbatimcontinuesalign\endcsname - {\normalcolor\sphinxstylecodecontinues\literalblockcontinuesname}}% -\def\sphinxVerbatim@Title - {\spx@fcolorbox@put@c{\unhcopy\sphinxVerbatim@TitleBox}}% -\let\sphinxVerbatim@Before\@empty -\let\sphinxVerbatim@After\@empty -% Defaults are redefined in document preamble according to language -\newcommand*\literalblockcontinuedname{continued from previous page}% -\newcommand*\literalblockcontinuesname{continues on next page}% +% as will be indicated below, secondary style files load some more packages % -\def\spx@verbatimfcolorbox{\spx@fcolorbox{VerbatimBorderColor}{VerbatimColor}}% -\def\sphinxVerbatim@FrameCommand - {\spx@verbatimfcolorbox\sphinxVerbatim@Before\sphinxVerbatim@After}% -\def\sphinxVerbatim@FirstFrameCommand - {\spx@verbatimfcolorbox\sphinxVerbatim@Before\sphinxVerbatim@Continues}% -\def\sphinxVerbatim@MidFrameCommand - {\spx@verbatimfcolorbox\sphinxVerbatim@Continued\sphinxVerbatim@Continues}% -\def\sphinxVerbatim@LastFrameCommand - {\spx@verbatimfcolorbox\sphinxVerbatim@Continued\sphinxVerbatim@After}% - -% For linebreaks inside Verbatim environment from package fancyvrb. -\newbox\sphinxcontinuationbox -\newbox\sphinxvisiblespacebox -\newcommand*\sphinxafterbreak {\copy\sphinxcontinuationbox} - -% Take advantage of the already applied Pygments mark-up to insert -% potential linebreaks for TeX processing. -% {, <, #, %, $, ' and ": go to next line. -% _, }, ^, &, >, - and ~: stay at end of broken line. -% Use of \textquotesingle for straight quote. -% FIXME: convert this to package options ? -\newcommand*\sphinxbreaksbeforelist {% - \do\PYGZob\{\do\PYGZlt\<\do\PYGZsh\#\do\PYGZpc\%% {, <, #, %, - \do\PYGZdl\$\do\PYGZdq\"% $, " - \def\PYGZsq - {\discretionary{}{\sphinxafterbreak\textquotesingle}{\textquotesingle}}% ' -} -\newcommand*\sphinxbreaksafterlist {% - \do\PYGZus\_\do\PYGZcb\}\do\PYGZca\^\do\PYGZam\&% _, }, ^, &, - \do\PYGZgt\>\do\PYGZhy\-\do\PYGZti\~% >, -, ~ -} -\newcommand*\sphinxbreaksatspecials {% - \def\do##1##2% - {\def##1{\discretionary{}{\sphinxafterbreak\char`##2}{\char`##2}}}% - \sphinxbreaksbeforelist - \def\do##1##2% - {\def##1{\discretionary{\char`##2}{\sphinxafterbreak}{\char`##2}}}% - \sphinxbreaksafterlist -} - -\def\sphinx@verbatim@nolig@list {\do \`}% -% Some characters . , ; ? ! / are not pygmentized. -% This macro makes them "active" and they will insert potential linebreaks. -% Not compatible with math mode (cf \sphinxunactivateextras). -\newcommand*\sphinxbreaksbeforeactivelist {}% none -\newcommand*\sphinxbreaksafteractivelist {\do\.\do\,\do\;\do\?\do\!\do\/} -\newcommand*\sphinxbreaksviaactive {% - \def\do##1{\lccode`\~`##1% - \lowercase{\def~}{\discretionary{}{\sphinxafterbreak\char`##1}{\char`##1}}% - \catcode`##1\active}% - \sphinxbreaksbeforeactivelist - \def\do##1{\lccode`\~`##1% - \lowercase{\def~}{\discretionary{\char`##1}{\sphinxafterbreak}{\char`##1}}% - \catcode`##1\active}% - \sphinxbreaksafteractivelist - \lccode`\~`\~ -} - -% If the linebreak is at a space, the latter will be displayed as visible -% space at end of first line, and a continuation symbol starts next line. -\def\spx@verbatim@space {% - \nobreak\hskip\z@skip - \discretionary{\copy\sphinxvisiblespacebox}{\sphinxafterbreak} - {\kern\fontdimen2\font}% -}% - -% if the available space on page is less than \literalblockneedspace, insert pagebreak -\newcommand{\sphinxliteralblockneedspace}{5\baselineskip} -\newcommand{\sphinxliteralblockwithoutcaptionneedspace}{1.5\baselineskip} -% The title (caption) is specified from outside as macro \sphinxVerbatimTitle. -% \sphinxVerbatimTitle is reset to empty after each use of Verbatim. -\newcommand*\sphinxVerbatimTitle {} -% This box to typeset the caption before framed.sty multiple passes for framing. -\newbox\sphinxVerbatim@TitleBox -% This is a workaround to a "feature" of French lists, when literal block -% follows immediately; usable generally (does only \par then), a priori... -\newcommand*\sphinxvspacefixafterfrenchlists{% - \ifvmode\ifdim\lastskip<\z@ \vskip\parskip\fi\else\par\fi -} -% Holder macro for labels of literal blocks. Set-up by LaTeX writer. -\newcommand*\sphinxLiteralBlockLabel {} -\newcommand*\sphinxSetupCaptionForVerbatim [1] -{% - \sphinxvspacefixafterfrenchlists - \needspace{\sphinxliteralblockneedspace}% -% insert a \label via \sphinxLiteralBlockLabel -% reset to normal the color for the literal block caption - \def\sphinxVerbatimTitle - {\py@NormalColor\sphinxcaption{\sphinxLiteralBlockLabel #1}}% -} -\newcommand*\sphinxSetupCodeBlockInFootnote {% - \fvset{fontsize=\footnotesize}\let\caption\sphinxfigcaption - \sphinxverbatimwithminipagetrue % reduces vertical spaces - % we counteract (this is in a group) the \@normalsize from \caption - \let\normalsize\footnotesize\let\@parboxrestore\relax - \def\spx@abovecaptionskip{\sphinxverbatimsmallskipamount}% -} -% needed to create wrapper environments of fancyvrb's Verbatim -\newcommand*{\sphinxVerbatimEnvironment}{\gdef\FV@EnvironName{sphinxVerbatim}} -\newcommand*{\sphinxverbatimsmallskipamount}{\smallskipamount} -% serves to implement line highlighting and line wrapping -\newcommand\sphinxFancyVerbFormatLine[1]{% - \expandafter\sphinx@verbatim@checkifhl\expandafter{\the\FV@CodeLineNo}% - \ifin@ - \sphinxVerbatimHighlightLine{#1}% - \else - \sphinxVerbatimFormatLine{#1}% - \fi -}% -\newcommand\sphinxVerbatimHighlightLine[1]{% - \edef\sphinxrestorefboxsep{\fboxsep\the\fboxsep\relax}% - \fboxsep0pt\relax % cf LaTeX bug graphics/4524 - \colorbox{sphinxVerbatimHighlightColor}% - {\sphinxrestorefboxsep\sphinxVerbatimFormatLine{#1}}% - % no need to restore \fboxsep here, as this ends up in a \hbox from fancyvrb -}% -% \sphinxVerbatimFormatLine will be set locally to one of those two: -\newcommand\sphinxVerbatimFormatLineWrap[1]{% - \hsize\linewidth - \vtop{\raggedright\hyphenpenalty\z@\exhyphenpenalty\z@ - \doublehyphendemerits\z@\finalhyphendemerits\z@ - \strut #1\strut}% -}% -\newcommand\sphinxVerbatimFormatLineNoWrap[1]{\hb@xt@\linewidth{\strut #1\hss}}% -\g@addto@macro\FV@SetupFont{% - \sbox\sphinxcontinuationbox {\spx@opt@verbatimcontinued}% - \sbox\sphinxvisiblespacebox {\spx@opt@verbatimvisiblespace}% -}% -\newenvironment{sphinxVerbatim}{% - % first, let's check if there is a caption - \ifx\sphinxVerbatimTitle\empty - \sphinxvspacefixafterfrenchlists - \parskip\z@skip - \vskip\sphinxverbatimsmallskipamount - % there was no caption. Check if nevertheless a label was set. - \ifx\sphinxLiteralBlockLabel\empty\else - % we require some space to be sure hyperlink target from \phantomsection - % will not be separated from upcoming verbatim by a page break - \needspace{\sphinxliteralblockwithoutcaptionneedspace}% - \phantomsection\sphinxLiteralBlockLabel - \fi - \else - \parskip\z@skip - \if t\spx@opt@literalblockcappos - \vskip\spx@abovecaptionskip - \def\sphinxVerbatim@Before - {\sphinxVerbatim@Title\nointerlineskip - \kern\dimexpr-\dp\strutbox+\sphinxbelowcaptionspace - % if no frame (code-blocks inside table cells), remove - % the "verbatimsep" whitespace from the top (better visually) - \ifspx@opt@verbatimwithframe\else-\sphinxverbatimsep\fi - % caption package adds \abovecaptionskip vspace, remove it - \spx@ifcaptionpackage{-\abovecaptionskip}{}\relax}% - \else - \vskip\sphinxverbatimsmallskipamount - \def\sphinxVerbatim@After - {\nointerlineskip\kern\dimexpr\dp\strutbox - \ifspx@opt@verbatimwithframe\else-\sphinxverbatimsep\fi - \spx@ifcaptionpackage{-\abovecaptionskip}{}\relax - \sphinxVerbatim@Title}% - \fi - \def\@captype{literalblock}% - \capstart - % \sphinxVerbatimTitle must reset color - \setbox\sphinxVerbatim@TitleBox - \hbox{\begin{minipage}{\linewidth}% - % caption package may detect wrongly if top or bottom, so we help it - \spx@ifcaptionpackage - {\caption@setposition{\spx@opt@literalblockcappos}}{}% - \sphinxVerbatimTitle - \end{minipage}}% - \fi - \global\let\sphinxLiteralBlockLabel\empty - \global\let\sphinxVerbatimTitle\empty - \fboxsep\sphinxverbatimsep \fboxrule\sphinxverbatimborder - \ifspx@opt@verbatimwithframe\else\fboxrule\z@\fi - \let\FrameCommand \sphinxVerbatim@FrameCommand - \let\FirstFrameCommand\sphinxVerbatim@FirstFrameCommand - \let\MidFrameCommand \sphinxVerbatim@MidFrameCommand - \let\LastFrameCommand \sphinxVerbatim@LastFrameCommand - \ifspx@opt@verbatimhintsturnover\else - \let\sphinxVerbatim@Continued\@empty - \let\sphinxVerbatim@Continues\@empty - \fi - \ifspx@opt@verbatimwrapslines - % fancyvrb's Verbatim puts each input line in (unbreakable) horizontal boxes. - % This customization wraps each line from the input in a \vtop, thus - % allowing it to wrap and display on two or more lines in the latex output. - % - The codeline counter will be increased only once. - % - The wrapped material will not break across pages, it is impossible - % to achieve this without extensive rewrite of fancyvrb. - % - The (not used in sphinx) obeytabs option to Verbatim is - % broken by this change (showtabs and tabspace work). - \let\sphinxVerbatimFormatLine\sphinxVerbatimFormatLineWrap - \let\FV@Space\spx@verbatim@space - % Allow breaks at special characters using \PYG... macros. - \sphinxbreaksatspecials - % Breaks at punctuation characters . , ; ? ! and / (needs catcode activation) - \fvset{codes*=\sphinxbreaksviaactive}% - \else % end of conditional code for wrapping long code lines - \let\sphinxVerbatimFormatLine\sphinxVerbatimFormatLineNoWrap - \fi - \let\FancyVerbFormatLine\sphinxFancyVerbFormatLine - % workaround to fancyvrb's check of \@currenvir - \let\VerbatimEnvironment\sphinxVerbatimEnvironment - % workaround to fancyvrb's check of current list depth - \def\@toodeep {\advance\@listdepth\@ne}% - % The list environment is needed to control perfectly the vertical space. - % Note: \OuterFrameSep used by framed.sty is later set to \topsep hence 0pt. - % - if caption: distance from last text baseline to caption baseline is - % A+(B-F)+\ht\strutbox, A = \abovecaptionskip (default 10pt), B = - % \baselineskip, F is the framed.sty \FrameHeightAdjust macro, default 6pt. - % Formula valid for F < 10pt. - % - distance of baseline of caption to top of frame is like for tables: - % \sphinxbelowcaptionspace (=0.5\baselineskip) - % - if no caption: distance of last text baseline to code frame is S+(B-F), - % with S = \sphinxverbatimtopskip (=\smallskip) - % - and distance from bottom of frame to next text baseline is - % \baselineskip+\parskip. - % The \trivlist is used to avoid possible "too deeply nested" error. - \itemsep \z@skip - \topsep \z@skip - \partopsep \z@skip - % trivlist will set \parsep to \parskip = zero - % \leftmargin will be set to zero by trivlist - \rightmargin\z@ - \parindent \z@% becomes \itemindent. Default zero, but perhaps overwritten. - \trivlist\item\relax - \ifsphinxverbatimwithminipage\spx@inframedtrue\fi - % use a minipage if we are already inside a framed environment - \ifspx@inframed\noindent\begin{minipage}{\linewidth}\fi - \MakeFramed {% adapted over from framed.sty's snugshade environment - \advance\hsize-\width\@totalleftmargin\z@\linewidth\hsize\@setminipage - }% - % For grid placement from \strut's in \FancyVerbFormatLine - \lineskip\z@skip - % active comma should not be overwritten by \@noligs - \ifspx@opt@verbatimwrapslines - \let\verbatim@nolig@list \sphinx@verbatim@nolig@list - \fi - % will fetch its optional arguments if any - \OriginalVerbatim -} -{% - \endOriginalVerbatim - \par\unskip\@minipagefalse\endMakeFramed % from framed.sty snugshade - \ifspx@inframed\end{minipage}\fi - \endtrivlist -} -\newenvironment {sphinxVerbatimNoFrame} - {\spx@opt@verbatimwithframefalse - % needed for fancyvrb as literal code will end in \end{sphinxVerbatimNoFrame} - \def\sphinxVerbatimEnvironment{\gdef\FV@EnvironName{sphinxVerbatimNoFrame}}% - \begin{sphinxVerbatim}} - {\end{sphinxVerbatim}} -\newenvironment {sphinxVerbatimintable} - {% don't use a frame if in a table cell - \spx@opt@verbatimwithframefalse - \sphinxverbatimwithminipagetrue - % the literal block caption uses \sphinxcaption which is wrapper of \caption, - % but \caption must be modified because longtable redefines it to work only - % for the own table caption, and tabulary has multiple passes - \let\caption\sphinxfigcaption - % reduce above caption skip - \def\spx@abovecaptionskip{\sphinxverbatimsmallskipamount}% - \def\sphinxVerbatimEnvironment{\gdef\FV@EnvironName{sphinxVerbatimintable}}% - \begin{sphinxVerbatim}} - {\end{sphinxVerbatim}} - - -%% PARSED LITERALS -% allow long lines to wrap like they do in code-blocks - -% this should be kept in sync with definitions in sphinx.util.texescape -\newcommand*\sphinxbreaksattexescapedchars{% - \def\do##1##2% put potential break point before character - {\def##1{\discretionary{}{\sphinxafterbreak\char`##2}{\char`##2}}}% - \do\{\{\do\textless\<\do\#\#\do\%\%\do\$\$% {, <, #, %, $ - \def\do##1##2% put potential break point after character - {\def##1{\discretionary{\char`##2}{\sphinxafterbreak}{\char`##2}}}% - \do\_\_\do\}\}\do\textasciicircum\^\do\&\&% _, }, ^, &, - \do\textgreater\>\do\textasciitilde\~% >, ~ -} -\newcommand*\sphinxbreaksviaactiveinparsedliteral{% - \sphinxbreaksviaactive % by default handles . , ; ? ! / - \do\-% we need also the hyphen character (ends up "as is" in parsed-literal) - \lccode`\~`\~ % - % update \dospecials as it is used by \url - % but deactivation will already have been done hence this is unneeded: - % \expandafter\def\expandafter\dospecials\expandafter{\dospecials - % \sphinxbreaksbeforeactivelist\sphinxbreaksafteractivelist\do\-}% -} -\newcommand*\sphinxbreaksatspaceinparsedliteral{% - \lccode`~32 \lowercase{\let~}\spx@verbatim@space\lccode`\~`\~ -} -\newcommand*{\sphinxunactivateextras}{\let\do\@makeother - \sphinxbreaksbeforeactivelist\sphinxbreaksafteractivelist\do\-}% -% the \catcode13=5\relax (deactivate end of input lines) is left to callers -\newcommand*{\sphinxunactivateextrasandspace}{\catcode32=10\relax - \sphinxunactivateextras}% -% now for the modified alltt environment -\newenvironment{sphinxalltt} -{% at start of next line to workaround Emacs/AUCTeX issue with this file -\begin{alltt}% - \ifspx@opt@parsedliteralwraps - \sbox\sphinxcontinuationbox {\spx@opt@verbatimcontinued}% - \sbox\sphinxvisiblespacebox {\spx@opt@verbatimvisiblespace}% - \sphinxbreaksattexescapedchars - \sphinxbreaksviaactiveinparsedliteral - \sphinxbreaksatspaceinparsedliteral -% alltt takes care of the ' as derivative ("prime") in math mode - \everymath\expandafter{\the\everymath\sphinxunactivateextrasandspace - \catcode`\<=12\catcode`\>=12\catcode`\^=7\catcode`\_=8 }% -% not sure if displayed math (align,...) can end up in parsed-literal, anyway - \everydisplay\expandafter{\the\everydisplay - \catcode13=5 \sphinxunactivateextrasandspace - \catcode`\<=12\catcode`\>=12\catcode`\^=7\catcode`\_=8 }% - \fi } -{\end{alltt}} - -% Protect \href's first argument in contexts such as sphinxalltt (or -% \sphinxcode). Sphinx uses \#, \%, \& ... always inside \sphinxhref. -\protected\def\sphinxhref#1#2{{% - \sphinxunactivateextrasandspace % never do \scantokens with active space! - \endlinechar\m@ne\everyeof{{#2}}% keep catcode regime for #2 - \scantokens{\href{#1}}% normalise it for #1 during \href expansion -}} -% Same for \url. And also \nolinkurl for coherence. -\protected\def\sphinxurl#1{{% - \sphinxunactivateextrasandspace\everyeof{}% (<- precaution for \scantokens) - \endlinechar\m@ne\scantokens{\url{#1}}% -}} -\protected\def\sphinxnolinkurl#1{{% - \sphinxunactivateextrasandspace\everyeof{}% - \endlinechar\m@ne\scantokens{\nolinkurl{#1}}% -}} +% For \text macro (sphinx.util.texescape) +% also for usage of \firstchoice@true(false) in sphinxlatexgraphics.sty +\RequirePackage{amstext} +% It was passed "warn" option from latex template in case it is already loaded +% via some other package before \usepackage{sphinx} in preamble +\RequirePackage{textcomp} +% For the H specifier. Do not \restylefloat{figure}, it breaks Sphinx code +% for allowing figures in tables. +\RequirePackage{float} +% For floating figures in the text. Better to load after float. +\RequirePackage{wrapfig} +% Provides \captionof, used once by latex writer (\captionof{figure}) +\RequirePackage{capt-of} +% Support hlist directive +\RequirePackage{multicol} -%% TOPIC AND CONTENTS BOXES +%% GRAPHICS % -% Again based on use of "framed.sty", this allows breakable framed boxes. -\long\def\spx@ShadowFBox#1{% - \leavevmode\begingroup - % first we frame the box #1 - \setbox\@tempboxa - \hbox{\vrule\@width\sphinxshadowrule - \vbox{\hrule\@height\sphinxshadowrule - \kern\sphinxshadowsep - \hbox{\kern\sphinxshadowsep #1\kern\sphinxshadowsep}% - \kern\sphinxshadowsep - \hrule\@height\sphinxshadowrule}% - \vrule\@width\sphinxshadowrule}% - % Now we add the shadow, like \shadowbox from fancybox.sty would do - \dimen@\dimexpr.5\sphinxshadowrule+\sphinxshadowsize\relax - \hbox{\vbox{\offinterlineskip - \hbox{\copy\@tempboxa\kern-.5\sphinxshadowrule - % add shadow on right side - \lower\sphinxshadowsize - \hbox{\vrule\@height\ht\@tempboxa \@width\dimen@}% - }% - \kern-\dimen@ % shift back vertically to bottom of frame - % and add shadow at bottom - \moveright\sphinxshadowsize - \vbox{\hrule\@width\wd\@tempboxa \@height\dimen@}% - }% - % move left by the size of right shadow so shadow adds no width - \kern-\sphinxshadowsize - }% - \endgroup -} - -% use framed.sty to allow page breaks in frame+shadow -% works well inside Lists and Quote-like environments -% produced by ``topic'' directive (or local contents) -% could nest if LaTeX writer authorized it -\newenvironment{sphinxShadowBox} - {\def\FrameCommand {\spx@ShadowFBox }% - % configure framed.sty not to add extra vertical spacing - \ltx@ifundefined{OuterFrameSep}{}{\OuterFrameSep\z@skip}% - % the \trivlist will add the vertical spacing on top and bottom which is - % typical of center environment as used in Sphinx <= 1.4.1 - % the \noindent has the effet of an extra blank line on top, to - % imitate closely the layout from Sphinx <= 1.4.1; the \FrameHeightAdjust - % will put top part of frame on this baseline. - \def\FrameHeightAdjust {\baselineskip}% - % use package footnote to handle footnotes - \savenotes - \trivlist\item\noindent - % use a minipage if we are already inside a framed environment - \ifspx@inframed\begin{minipage}{\linewidth}\fi - \MakeFramed {\spx@inframedtrue - % framed.sty puts into "\width" the added width (=2shadowsep+2shadowrule) - % adjust \hsize to what the contents must use - \advance\hsize-\width - % adjust LaTeX parameters to behave properly in indented/quoted contexts - \FrameRestore - % typeset the contents as in a minipage (Sphinx <= 1.4.1 used a minipage and - % itemize/enumerate are therein typeset more tightly, we want to keep - % that). We copy-paste from LaTeX source code but don't do a real minipage. - \@pboxswfalse - \let\@listdepth\@mplistdepth \@mplistdepth\z@ - \@minipagerestore - \@setminipage - }% - }% - {% insert the "endminipage" code - \par\unskip - \@minipagefalse - \endMakeFramed - \ifspx@inframed\end{minipage}\fi - \endtrivlist - % output the stored footnotes - \spewnotes - } +% It will always be needed, so let's load it here +\RequirePackage{graphicx} +\input{sphinxlatexgraphics.sty} -%% NOTICES AND ADMONITIONS +%% FRAMED ENVIRONMENTS % -% Some are quite plain -% the spx@notice@bordercolor etc are set in the sphinxadmonition environment -\newenvironment{sphinxlightbox}{% - \par\allowbreak - \noindent{\color{spx@notice@bordercolor}% - \rule{\linewidth}{\spx@notice@border}}\par\nobreak - {\parskip\z@skip\noindent}% - } - {% - % counteract previous possible negative skip (French lists!): - % (we can't cancel that any earlier \vskip introduced a potential pagebreak) - \sphinxvspacefixafterfrenchlists - \nobreak\vbox{\noindent\kern\@totalleftmargin - {\color{spx@notice@bordercolor}% - \rule[\dimexpr.4\baselineskip-\spx@notice@border\relax] - {\linewidth}{\spx@notice@border}}\hss}\allowbreak - }% end of sphinxlightbox environment definition -% may be renewenvironment'd by user for complete customization -\newenvironment{sphinxnote}[1] - {\begin{sphinxlightbox}\sphinxstrong{#1} }{\end{sphinxlightbox}} -\newenvironment{sphinxhint}[1] - {\begin{sphinxlightbox}\sphinxstrong{#1} }{\end{sphinxlightbox}} -\newenvironment{sphinximportant}[1] - {\begin{sphinxlightbox}\sphinxstrong{#1} }{\end{sphinxlightbox}} -\newenvironment{sphinxtip}[1] - {\begin{sphinxlightbox}\sphinxstrong{#1} }{\end{sphinxlightbox}} -% or just use the package options -% these are needed for common handling by notice environment of lightbox -% and heavybox but they are currently not used by lightbox environment -% and there is consequently no corresponding package option -\definecolor{sphinxnoteBgColor}{rgb}{1,1,1} -\definecolor{sphinxhintBgColor}{rgb}{1,1,1} -\definecolor{sphinximportantBgColor}{rgb}{1,1,1} -\definecolor{sphinxtipBgColor}{rgb}{1,1,1} - -% Others get more distinction -% Code adapted from framed.sty's "snugshade" environment. -% Nesting works (inner frames do not allow page breaks). -\newenvironment{sphinxheavybox}{\par - \setlength{\FrameRule}{\spx@notice@border}% - \setlength{\FrameSep}{\dimexpr.6\baselineskip-\FrameRule\relax} - % configure framed.sty's parameters to obtain same vertical spacing - % as for "light" boxes. We need for this to manually insert parskip glue and - % revert a skip done by framed before the frame. - \ltx@ifundefined{OuterFrameSep}{}{\OuterFrameSep\z@skip}% - \vspace{\FrameHeightAdjust} - % copied/adapted from framed.sty's snugshade - \def\FrameCommand##1{\hskip\@totalleftmargin - \fboxsep\FrameSep \fboxrule\FrameRule - \fcolorbox{spx@notice@bordercolor}{spx@notice@bgcolor}{##1}% - \hskip-\linewidth \hskip-\@totalleftmargin \hskip\columnwidth}% - \savenotes - % use a minipage if we are already inside a framed environment - \ifspx@inframed - \noindent\begin{minipage}{\linewidth} - \else - % handle case where notice is first thing in a list item (or is quoted) - \if@inlabel - \noindent\par\vspace{-\baselineskip} - \else - \vspace{\parskip} - \fi - \fi - \MakeFramed {\spx@inframedtrue - \advance\hsize-\width \@totalleftmargin\z@ \linewidth\hsize - % minipage initialization copied from LaTeX source code. - \@pboxswfalse - \let\@listdepth\@mplistdepth \@mplistdepth\z@ - \@minipagerestore - \@setminipage }% - } - {% - \par\unskip - \@minipagefalse - \endMakeFramed - \ifspx@inframed\end{minipage}\fi - % set footnotes at bottom of page - \spewnotes - % arrange for similar spacing below frame as for "light" boxes. - \vskip .4\baselineskip - }% end of sphinxheavybox environment definition -% may be renewenvironment'd by user for complete customization -\newenvironment{sphinxwarning}[1] - {\begin{sphinxheavybox}\sphinxstrong{#1} }{\end{sphinxheavybox}} -\newenvironment{sphinxcaution}[1] - {\begin{sphinxheavybox}\sphinxstrong{#1} }{\end{sphinxheavybox}} -\newenvironment{sphinxattention}[1] - {\begin{sphinxheavybox}\sphinxstrong{#1} }{\end{sphinxheavybox}} -\newenvironment{sphinxdanger}[1] - {\begin{sphinxheavybox}\sphinxstrong{#1} }{\end{sphinxheavybox}} -\newenvironment{sphinxerror}[1] - {\begin{sphinxheavybox}\sphinxstrong{#1} }{\end{sphinxheavybox}} -% or just use package options - -% the \colorlet of xcolor (if at all loaded) is overkill for our use case -\newcommand{\sphinxcolorlet}[2] - {\expandafter\let\csname\@backslashchar color@#1\expandafter\endcsname - \csname\@backslashchar color@#2\endcsname } +\input{sphinxlatexadmonitions.sty} +\input{sphinxlatexliterals.sty} +\input{sphinxlatexshadowbox.sty} -% the main dispatch for all types of notices -\newenvironment{sphinxadmonition}[2]{% #1=type, #2=heading - % can't use #1 directly in definition of end part - \def\spx@noticetype {#1}% - % set parameters of heavybox/lightbox - \sphinxcolorlet{spx@notice@bordercolor}{sphinx#1BorderColor}% - \sphinxcolorlet{spx@notice@bgcolor}{sphinx#1BgColor}% - \spx@notice@border \dimexpr\csname spx@opt@#1border\endcsname\relax - % start specific environment, passing the heading as argument - \begin{sphinx#1}{#2}} - % workaround some LaTeX "feature" of \end command - {\edef\spx@temp{\noexpand\end{sphinx\spx@noticetype}}\spx@temp} +%% CONTAINERS +% +\input{sphinxlatexcontainers.sty} -%% PYTHON DOCS MACROS AND ENVIRONMENTS -% (some macros here used by \maketitle in sphinxmanual.cls and sphinxhowto.cls) -% \moduleauthor{name}{email} -\newcommand{\moduleauthor}[2]{} +%% PYGMENTS +% stylesheet for highlighting with pygments +\RequirePackage{sphinxhighlight} -% \sectionauthor{name}{email} -\newcommand{\sectionauthor}[2]{} -% Allow the release number to be specified independently of the -% \date{}. This allows the date to reflect the document's date and -% release to specify the release that is documented. +%% TABLES % -\newcommand{\py@release}{\releasename\space\version} -\newcommand{\version}{}% part of \py@release, used by title page and headers -% \releaseinfo is used on titlepage (sphinxmanual.cls, sphinxhowto.cls) -\newcommand{\releaseinfo}{} -\newcommand{\setreleaseinfo}[1]{\renewcommand{\releaseinfo}{#1}} -% this is inserted via template and #1=release config variable -\newcommand{\release}[1]{\renewcommand{\version}{#1}} -% this is defined by template to 'releasename' latex_elements key -\newcommand{\releasename}{} -% Fix issue in case release and releasename deliberately left blank -\newcommand{\sphinxheadercomma}{, }% used in fancyhdr header definition -\newcommand{\sphinxifemptyorblank}[1]{% -% test after one expansion of macro #1 if contents is empty or spaces - \if&\expandafter\@firstofone\detokenize\expandafter{#1}&% - \expandafter\@firstoftwo\else\expandafter\@secondoftwo\fi}% -\AtBeginDocument {% - \sphinxifemptyorblank{\releasename} - {\sphinxifemptyorblank{\version}{\let\sphinxheadercomma\empty}{}} - {}% -}% +\input{sphinxlatextables.sty} -% Allow specification of the author's address separately from the -% author's name. This can be used to format them differently, which -% is a good thing. -% -\newcommand{\py@authoraddress}{} -\newcommand{\authoraddress}[1]{\renewcommand{\py@authoraddress}{#1}} -% {fulllineitems} is the main environment for object descriptions. +%% NUMBERING OF FIGURES, TABLES, AND LITERAL BLOCKS % -\newcommand{\py@itemnewline}[1]{% - \kern\labelsep - \@tempdima\linewidth - \advance\@tempdima \labelwidth\makebox[\@tempdima][l]{#1}% - \kern-\labelsep -} +\input{sphinxlatexnumfig.sty} -\newenvironment{fulllineitems}{% - \begin{list}{}{\labelwidth \leftmargin - \rightmargin \z@ \topsep -\parskip \partopsep \parskip - \itemsep -\parsep - \let\makelabel=\py@itemnewline}% -}{\end{list}} -% Signatures, possibly multi-line +%% LISTS % -\newlength{\py@argswidth} -\newcommand{\py@sigparams}[2]{% - \parbox[t]{\py@argswidth}{#1\sphinxcode{)}#2}} -\newcommand{\pysigline}[1]{\item[{#1}]} -\newcommand{\pysiglinewithargsret}[3]{% - \settowidth{\py@argswidth}{#1\sphinxcode{(}}% - \addtolength{\py@argswidth}{-2\py@argswidth}% - \addtolength{\py@argswidth}{\linewidth}% - \item[{#1\sphinxcode{(}\py@sigparams{#2}{#3}}]} -\newcommand{\pysigstartmultiline}{% - \def\pysigstartmultiline{\vskip\smallskipamount\parskip\z@skip\itemsep\z@skip}% - \edef\pysigstopmultiline - {\noexpand\leavevmode\parskip\the\parskip\relax\itemsep\the\itemsep\relax}% - \parskip\z@skip\itemsep\z@skip -} +\input{sphinxlatexlists.sty} -% Production lists -% -\newenvironment{productionlist}{% -% \def\sphinxoptional##1{{\Large[}##1{\Large]}} - \def\production##1##2{\\\sphinxcode{\sphinxupquote{##1}}&::=&\sphinxcode{\sphinxupquote{##2}}}% - \def\productioncont##1{\\& &\sphinxcode{\sphinxupquote{##1}}}% - \parindent=2em - \indent - \setlength{\LTpre}{0pt}% - \setlength{\LTpost}{0pt}% - \begin{longtable}[l]{lcl} -}{% - \end{longtable} -} -% Definition lists; requested by AMK for HOWTO documents. Probably useful -% elsewhere as well, so keep in in the general style support. +%% FOOTNOTES % -\newenvironment{definitions}{% - \begin{description}% - \def\term##1{\item[{##1}]\mbox{}\\*[0mm]}% -}{% - \end{description}% +% Support scopes for footnote numbering +\newcounter{sphinxscope} +\newcommand{\sphinxstepscope}{\stepcounter{sphinxscope}} +% Explicitly numbered footnotes may be referred to, and for this to be +% clickable we need to have only one target. So we will step this at each +% explicit footnote and let \thesphinxscope take it into account +\newcounter{sphinxexplicit} +\newcommand{\sphinxstepexplicit}{\stepcounter{sphinxexplicit}} +% Some babel/polyglossia languages fiddle with \@arabic, so let's be extra +% cautious and redefine \thesphinxscope with \number not \@arabic. +% Memo: we expect some subtle redefinition of \thesphinxscope to be a part of page +% scoping for footnotes, when we shall implement it. +\renewcommand{\thesphinxscope}{\number\value{sphinxscope}.\number\value{sphinxexplicit}} +\newcommand\sphinxthefootnotemark[2]{% + % this is used to make reference to an explicitly numbered footnote not on same page + % #1=label of footnote text, #2=page number where footnote text was printed + \ifdefined\pagename + \pagename\space#2, % <- space + \else + p. #2, % <- space + \fi #1% no space } +% support large numbered footnotes in minipage; but this is now obsolete +% from systematic use of savenotes environment around minipages +\def\thempfootnote{\arabic{mpfootnote}} +% This package is needed to support hyperlinked footnotes in tables and +% framed contents, and to allow code-blocks in footnotes. +\RequirePackage{sphinxpackagefootnote} -%% FROM DOCTUTILS LATEX WRITER -% -% The following is stuff copied from docutils' latex writer. -% -\newcommand{\optionlistlabel}[1]{\normalfont\bfseries #1 \hfill}% \bf deprecated -\newenvironment{optionlist}[1] -{\begin{list}{} - {\setlength{\labelwidth}{#1} - \setlength{\rightmargin}{1cm} - \setlength{\leftmargin}{\rightmargin} - \addtolength{\leftmargin}{\labelwidth} - \addtolength{\leftmargin}{\labelsep} - \renewcommand{\makelabel}{\optionlistlabel}} -}{\end{list}} -\newlength{\lineblockindentation} -\setlength{\lineblockindentation}{2.5em} -\newenvironment{lineblock}[1] -{\begin{list}{} - {\setlength{\partopsep}{\parskip} - \addtolength{\partopsep}{\baselineskip} - \topsep0pt\itemsep0.15\baselineskip\parsep0pt - \leftmargin#1\relax} - \raggedright} -{\end{list}} +%% INDEX, BIBLIOGRAPHY, APPENDIX, TABLE OF CONTENTS +% +\input{sphinxlatexindbibtoc.sty} -% From docutils.writers.latex2e -% inline markup (custom roles) -% \DUrole{#1}{#2} tries \DUrole#1{#2} -\providecommand*{\DUrole}[2]{% - \ifcsname DUrole\detokenize{#1}\endcsname - \csname DUrole\detokenize{#1}\endcsname{#2}% - \else% backwards compatibility: try \docutilsrole#1{#2} - \ifcsname docutilsrole\detokenize{#1}\endcsname - \csname docutilsrole\detokenize{#1}\endcsname{#2}% - \else - #2% - \fi - \fi -} -\providecommand*{\DUprovidelength}[2]{% - \ifdefined#1\else\newlength{#1}\setlength{#1}{#2}\fi -} +%% STYLING +% +\input{sphinxlatexstylepage.sty} +\input{sphinxlatexstyleheadings.sty} +\input{sphinxlatexstyletext.sty} -\DUprovidelength{\DUlineblockindent}{2.5em} -\ifdefined\DUlineblock\else - \newenvironment{DUlineblock}[1]{% - \list{}{\setlength{\partopsep}{\parskip} - \addtolength{\partopsep}{\baselineskip} - \setlength{\topsep}{0pt} - \setlength{\itemsep}{0.15\baselineskip} - \setlength{\parsep}{0pt} - \setlength{\leftmargin}{#1}} - \raggedright - } - {\endlist} -\fi -%% TEXT STYLING +%% MODULE RELEASE DATA AND OBJECT DESCRIPTIONS % -% to obtain straight quotes we execute \@noligs as patched by upquote, and -% \scantokens is needed in cases where it would be too late for the macro to -% first set catcodes and then fetch its argument. We also make the contents -% breakable at non-escaped . , ; ? ! / using \sphinxbreaksviaactive. -% the macro must be protected if it ends up used in moving arguments, -% in 'alltt' \@noligs is done already, and the \scantokens must be avoided. -\protected\def\sphinxupquote#1{{\def\@tempa{alltt}% - \ifx\@tempa\@currenvir\else - \ifspx@opt@inlineliteralwraps - \sphinxbreaksviaactive\let\sphinxafterbreak\empty - % do not overwrite the comma set-up - \let\verbatim@nolig@list\sphinx@literal@nolig@list - \fi - % fix a space-gobbling issue due to LaTeX's original \do@noligs - \let\do@noligs\sphinx@do@noligs - \@noligs\endlinechar\m@ne\everyeof{}% (<- in case inside \sphinxhref) - \expandafter\scantokens - \fi {{#1}}}}% extra brace pair to fix end-space gobbling issue... -\def\sphinx@do@noligs #1{\catcode`#1\active\begingroup\lccode`\~`#1\relax - \lowercase{\endgroup\def~{\leavevmode\kern\z@\char`#1 }}} -\def\sphinx@literal@nolig@list {\do\`\do\<\do\>\do\'\do\-}% - -% Some custom font markup commands. -\protected\def\sphinxstrong#1{\textbf{#1}} -\protected\def\sphinxcode#1{\texttt{#1}} -\protected\def\sphinxbfcode#1{\textbf{\sphinxcode{#1}}} -\protected\def\sphinxemail#1{\textsf{#1}} -\protected\def\sphinxtablecontinued#1{\textsf{#1}} -\protected\def\sphinxtitleref#1{\emph{#1}} -\protected\def\sphinxmenuselection#1{\emph{#1}} -\protected\def\sphinxguilabel#1{\emph{#1}} -\protected\def\sphinxaccelerator#1{\underline{#1}} -\protected\def\sphinxcrossref#1{\emph{#1}} -\protected\def\sphinxtermref#1{\emph{#1}} -% \optional is used for ``[, arg]``, i.e. desc_optional nodes. -\long\protected\def\sphinxoptional#1{% - {\textnormal{\Large[}}{#1}\hspace{0.5mm}{\textnormal{\Large]}}} +\input{sphinxlatexobjects.sty} -% additional customizable styling -\def\sphinxstyleindexentry #1{\texttt{#1}} -\def\sphinxstyleindexextra #1{ (\emph{#1})} -\def\sphinxstyleindexpageref #1{, \pageref{#1}} -\def\sphinxstyleindexpagemain#1{\textbf{#1}} -\protected\def\spxentry#1{#1}% will get \let to \sphinxstyleindexentry in index -\protected\def\spxextra#1{#1}% will get \let to \sphinxstyleindexextra in index -\def\sphinxstyleindexlettergroup #1% - {{\Large\sffamily#1}\nopagebreak\vspace{1mm}} -\def\sphinxstyleindexlettergroupDefault #1% - {{\Large\sffamily\sphinxnonalphabeticalgroupname}\nopagebreak\vspace{1mm}} -\protected\def\sphinxstyletopictitle #1{\textbf{#1}\par\medskip} -\let\sphinxstylesidebartitle\sphinxstyletopictitle -\protected\def\sphinxstyleothertitle #1{\textbf{#1}} -\protected\def\sphinxstylesidebarsubtitle #1{~\\\textbf{#1} \smallskip} -% \text.. commands do not allow multiple paragraphs -\protected\def\sphinxstyletheadfamily {\sffamily} -\protected\def\sphinxstyleemphasis #1{\emph{#1}} -\protected\def\sphinxstyleliteralemphasis#1{\emph{\sphinxcode{#1}}} -\protected\def\sphinxstylestrong #1{\textbf{#1}} -\protected\def\sphinxstyleliteralstrong#1{\sphinxbfcode{#1}} -\protected\def\sphinxstyleabbreviation #1{\textsc{#1}} -\protected\def\sphinxstyleliteralintitle#1{\sphinxcode{#1}} -\newcommand*\sphinxstylecodecontinued[1]{\footnotesize(#1)}% -\newcommand*\sphinxstylecodecontinues[1]{\footnotesize(#1)}% -% figure legend comes after caption and may contain arbitrary body elements -\newenvironment{sphinxlegend}{\par\small}{\par} -% reduce hyperref "Token not allowed in a PDF string" warnings on PDF builds -\AtBeginDocument{\pdfstringdefDisableCommands{% -% all "protected" macros possibly ending up in section titles should be here - \let\sphinxstyleemphasis \@firstofone - \let\sphinxstyleliteralemphasis \@firstofone - \let\sphinxstylestrong \@firstofone - \let\sphinxstyleliteralstrong \@firstofone - \let\sphinxstyleabbreviation \@firstofone - \let\sphinxstyleliteralintitle \@firstofone - \let\sphinxupquote \@firstofone - \let\sphinxstrong \@firstofone - \let\sphinxcode \@firstofone - \let\sphinxbfcode \@firstofone - \let\sphinxemail \@firstofone - \let\sphinxcrossref \@firstofone - \let\sphinxtermref \@firstofone -}} -% For curly braces inside \index macro -\def\sphinxleftcurlybrace{\{} -\def\sphinxrightcurlybrace{\}} +% FIXME: this line should be dropped, as "9" is default anyhow. +\ifdefined\pdfcompresslevel\pdfcompresslevel = 9 \fi -% Declare Unicode characters used by linux tree command to pdflatex utf8/utf8x -\def\spx@bd#1#2{% - \leavevmode - \begingroup - \ifx\spx@bd@height \@undefined\def\spx@bd@height{\baselineskip}\fi - \ifx\spx@bd@width \@undefined\setbox0\hbox{0}\def\spx@bd@width{\wd0 }\fi - \ifx\spx@bd@thickness\@undefined\def\spx@bd@thickness{.6\p@}\fi - \ifx\spx@bd@lower \@undefined\def\spx@bd@lower{\dp\strutbox}\fi - \lower\spx@bd@lower#1{#2}% - \endgroup -}% -\@namedef{sphinx@u2500}% BOX DRAWINGS LIGHT HORIZONTAL - {\spx@bd{\vbox to\spx@bd@height} - {\vss\hrule\@height\spx@bd@thickness - \@width\spx@bd@width\vss}}% -\@namedef{sphinx@u2502}% BOX DRAWINGS LIGHT VERTICAL - {\spx@bd{\hb@xt@\spx@bd@width} - {\hss\vrule\@height\spx@bd@height - \@width \spx@bd@thickness\hss}}% -\@namedef{sphinx@u2514}% BOX DRAWINGS LIGHT UP AND RIGHT - {\spx@bd{\hb@xt@\spx@bd@width} - {\hss\raise.5\spx@bd@height - \hb@xt@\z@{\hss\vrule\@height.5\spx@bd@height - \@width \spx@bd@thickness\hss}% - \vbox to\spx@bd@height{\vss\hrule\@height\spx@bd@thickness - \@width.5\spx@bd@width\vss}}}% -\@namedef{sphinx@u251C}% BOX DRAWINGS LIGHT VERTICAL AND RIGHT - {\spx@bd{\hb@xt@\spx@bd@width} - {\hss - \hb@xt@\z@{\hss\vrule\@height\spx@bd@height - \@width \spx@bd@thickness\hss}% - \vbox to\spx@bd@height{\vss\hrule\@height\spx@bd@thickness - \@width.5\spx@bd@width\vss}}}% -\protected\def\sphinxunichar#1{\@nameuse{sphinx@u#1}}% -% Tell TeX about pathological hyphenation cases: -\hyphenation{Base-HTTP-Re-quest-Hand-ler} \endinput diff --git a/packs_lib/cplint/docs/_build/latex/sphinx.xdy b/packs_lib/cplint/docs/_build/latex/sphinx.xdy index 0d02ef3372..0dcf1133cd 100644 --- a/packs_lib/cplint/docs/_build/latex/sphinx.xdy +++ b/packs_lib/cplint/docs/_build/latex/sphinx.xdy @@ -15,7 +15,7 @@ ;; xindy base module latex.xdy loads tex.xdy and the latter instructs ;; xindy to ignore **all** TeX macros in .idx entries, except those -;; explicitely described in merge rule. But when after applying all +;; explicitly described in merge rule. But when after applying all ;; merge rules an empty string results, xindy raises an error: ;; ERROR: CHAR: index 0 should be less than the length of the string @@ -31,7 +31,7 @@ ;; scripts for the pdflatex engine. ;; Another issue caused by xindy ignoring all TeX macros except those -;; explicitely declared reveals itself when attempting to index ">>>", +;; explicitly declared reveals itself when attempting to index ">>>", ;; as the ">" is converted to "\textgreater{}" by Sphinx's LaTeX ;; escaping. @@ -112,12 +112,14 @@ (merge-rule "\_" "_" :string) (merge-rule "{[}" "[" :string) (merge-rule "{]}" "]" :string) -(merge-rule "{}`" "`" :string) (merge-rule "\textbackslash{}" "\" :string) ; " for Emacs syntax highlighting (merge-rule "\textasciitilde{}" "~~" :string); the ~~ escape is needed here +(merge-rule "\textasciicircum{}" "^" :string) +(merge-rule "\sphinxhyphen{}" "-" :string) +(merge-rule "\textquotesingle{}" "'" :string) +(merge-rule "\textasciigrave{}" "`" :string) (merge-rule "\textless{}" "<" :string) (merge-rule "\textgreater{}" ">" :string) -(merge-rule "\textasciicircum{}" "^" :string) (merge-rule "\P{}" "¶" :string) (merge-rule "\S{}" "§" :string) (merge-rule "\texteuro{}" "€" :string) @@ -147,40 +149,61 @@ (merge-rule "\(\sb{\text{7}}\)" "₇" :string) (merge-rule "\(\sb{\text{8}}\)" "₈" :string) (merge-rule "\(\sb{\text{9}}\)" "₉" :string) -(merge-rule "\(\alpha\)" "α" :string) -(merge-rule "\(\beta\)" "β" :string) -(merge-rule "\(\gamma\)" "γ" :string) -(merge-rule "\(\delta\)" "δ" :string) -(merge-rule "\(\epsilon\)" "ε" :string) -(merge-rule "\(\zeta\)" "ζ" :string) -(merge-rule "\(\eta\)" "η" :string) -(merge-rule "\(\theta\)" "θ" :string) -(merge-rule "\(\iota\)" "ι" :string) -(merge-rule "\(\kappa\)" "κ" :string) -(merge-rule "\(\lambda\)" "λ" :string) -(merge-rule "\(\mu\)" "μ" :string) -(merge-rule "\(\nu\)" "ν" :string) -(merge-rule "\(\xi\)" "ξ" :string) -(merge-rule "\(\pi\)" "π" :string) -(merge-rule "\(\rho\)" "ρ" :string) -(merge-rule "\(\sigma\)" "σ" :string) -(merge-rule "\(\tau\)" "τ" :string) -(merge-rule "\(\upsilon\)" "υ" :string) -(merge-rule "\(\phi\)" "φ" :string) -(merge-rule "\(\chi\)" "χ" :string) -(merge-rule "\(\psi\)" "ψ" :string) -(merge-rule "\(\omega\)" "ω" :string) -(merge-rule "\(\Gamma\)" "Γ" :string) -(merge-rule "\(\Delta\)" "Δ" :string) -(merge-rule "\(\Theta\)" "Θ" :string) -(merge-rule "\(\Lambda\)" "Λ" :string) -(merge-rule "\(\Xi\)" "Ξ" :string) -(merge-rule "\(\Pi\)" "Π" :string) -(merge-rule "\(\Sigma\)" "Σ" :string) -(merge-rule "\(\Upsilon\)" "Υ" :string) -(merge-rule "\(\Phi\)" "Φ" :string) -(merge-rule "\(\Psi\)" "Ψ" :string) -(merge-rule "\(\Omega\)" "Ω" :string) +(merge-rule "\IeC {\textalpha }" "α" :string) +(merge-rule "\IeC {\textbeta }" "β" :string) +(merge-rule "\IeC {\textgamma }" "γ" :string) +(merge-rule "\IeC {\textdelta }" "δ" :string) +(merge-rule "\IeC {\textepsilon }" "ε" :string) +(merge-rule "\IeC {\textzeta }" "ζ" :string) +(merge-rule "\IeC {\texteta }" "η" :string) +(merge-rule "\IeC {\texttheta }" "θ" :string) +(merge-rule "\IeC {\textiota }" "ι" :string) +(merge-rule "\IeC {\textkappa }" "κ" :string) +(merge-rule "\IeC {\textlambda }" "λ" :string) +(merge-rule "\IeC {\textmu }" "μ" :string) +(merge-rule "\IeC {\textnu }" "ν" :string) +(merge-rule "\IeC {\textxi }" "ξ" :string) +(merge-rule "\IeC {\textomicron }" "ο" :string) +(merge-rule "\IeC {\textpi }" "π" :string) +(merge-rule "\IeC {\textrho }" "ρ" :string) +(merge-rule "\IeC {\textsigma }" "σ" :string) +(merge-rule "\IeC {\texttau }" "τ" :string) +(merge-rule "\IeC {\textupsilon }" "υ" :string) +(merge-rule "\IeC {\textphi }" "φ" :string) +(merge-rule "\IeC {\textchi }" "χ" :string) +(merge-rule "\IeC {\textpsi }" "ψ" :string) +(merge-rule "\IeC {\textomega }" "ω" :string) +(merge-rule "\IeC {\textAlpha }" "Α" :string) +(merge-rule "\IeC {\textBeta }" "Β" :string) +(merge-rule "\IeC {\textGamma }" "Γ" :string) +(merge-rule "\IeC {\textDelta }" "Δ" :string) +(merge-rule "\IeC {\textEpsilon }" "Ε" :string) +(merge-rule "\IeC {\textZeta }" "Ζ" :string) +(merge-rule "\IeC {\textEta }" "Η" :string) +(merge-rule "\IeC {\textTheta }" "Θ" :string) +(merge-rule "\IeC {\textIota }" "Ι" :string) +(merge-rule "\IeC {\textKappa }" "Κ" :string) +(merge-rule "\IeC {\textLambda }" "Λ" :string) +(merge-rule "\IeC {\textMu }" "Μ" :string) +(merge-rule "\IeC {\textNu }" "Ν" :string) +(merge-rule "\IeC {\textTheta }" "Θ" :string) +(merge-rule "\IeC {\textIota }" "Ι" :string) +(merge-rule "\IeC {\textKappa }" "Κ" :string) +(merge-rule "\IeC {\textLambda }" "Λ" :string) +(merge-rule "\IeC {\textMu }" "Μ" :string) +(merge-rule "\IeC {\textNu }" "Ν" :string) +(merge-rule "\IeC {\textXi }" "Ξ" :string) +(merge-rule "\IeC {\textOmicron }" "Ο" :string) +(merge-rule "\IeC {\textPi }" "Π" :string) +(merge-rule "\IeC {\textRho }" "Ρ" :string) +(merge-rule "\IeC {\textSigma }" "Σ" :string) +(merge-rule "\IeC {\textTau }" "Τ" :string) +(merge-rule "\IeC {\textUpsilon }" "Υ" :string) +(merge-rule "\IeC {\textPhi }" "Φ" :string) +(merge-rule "\IeC {\textChi }" "Χ" :string) +(merge-rule "\IeC {\textPsi }" "Ψ" :string) +(merge-rule "\IeC {\textOmega }" "Ω" :string) +(merge-rule "\IeC {\textohm }" "Ω" :string) ;; This xindy module provides some basic support for "see" (require "makeindex.xdy") diff --git a/packs_lib/cplint/docs/_build/latex/sphinxhighlight.sty b/packs_lib/cplint/docs/_build/latex/sphinxhighlight.sty index 1557ce6e32..83b523cba0 100644 --- a/packs_lib/cplint/docs/_build/latex/sphinxhighlight.sty +++ b/packs_lib/cplint/docs/_build/latex/sphinxhighlight.sty @@ -1,5 +1,6 @@ \NeedsTeXFormat{LaTeX2e}[1995/12/01] \ProvidesPackage{sphinxhighlight}[2016/05/29 stylesheet for highlighting with pygments] +% Its contents depend on pygments_style configuration variable. \makeatletter @@ -13,73 +14,73 @@ \PYG@it{\PYG@bf{\PYG@ff{#1}}}}}}} \def\PYG#1#2{\PYG@reset\PYG@toks#1+\relax+\PYG@do{#2}} -\expandafter\def\csname PYG@tok@w\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.73,0.73}{##1}}} -\expandafter\def\csname PYG@tok@c\endcsname{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}} -\expandafter\def\csname PYG@tok@cp\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@cs\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}\def\PYG@bc##1{\setlength{\fboxsep}{0pt}\colorbox[rgb]{1.00,0.94,0.94}{\strut ##1}}} -\expandafter\def\csname PYG@tok@k\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@kp\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@kt\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.56,0.13,0.00}{##1}}} -\expandafter\def\csname PYG@tok@o\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}} -\expandafter\def\csname PYG@tok@ow\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@nb\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@nf\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.02,0.16,0.49}{##1}}} -\expandafter\def\csname PYG@tok@nc\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.05,0.52,0.71}{##1}}} -\expandafter\def\csname PYG@tok@nn\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.05,0.52,0.71}{##1}}} -\expandafter\def\csname PYG@tok@ne\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@nv\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.38,0.84}{##1}}} -\expandafter\def\csname PYG@tok@no\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.38,0.68,0.84}{##1}}} -\expandafter\def\csname PYG@tok@nl\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.13,0.44}{##1}}} -\expandafter\def\csname PYG@tok@ni\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.84,0.33,0.22}{##1}}} -\expandafter\def\csname PYG@tok@na\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@nt\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.02,0.16,0.45}{##1}}} -\expandafter\def\csname PYG@tok@nd\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.33,0.33,0.33}{##1}}} -\expandafter\def\csname PYG@tok@s\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@sd\endcsname{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@si\endcsname{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.44,0.63,0.82}{##1}}} -\expandafter\def\csname PYG@tok@se\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@sr\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.14,0.33,0.53}{##1}}} -\expandafter\def\csname PYG@tok@ss\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.32,0.47,0.09}{##1}}} -\expandafter\def\csname PYG@tok@sx\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.78,0.36,0.04}{##1}}} -\expandafter\def\csname PYG@tok@m\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} -\expandafter\def\csname PYG@tok@gh\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.00,0.50}{##1}}} -\expandafter\def\csname PYG@tok@gu\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.50,0.00,0.50}{##1}}} -\expandafter\def\csname PYG@tok@gd\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.63,0.00,0.00}{##1}}} -\expandafter\def\csname PYG@tok@gi\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.63,0.00}{##1}}} -\expandafter\def\csname PYG@tok@gr\endcsname{\def\PYG@tc##1{\textcolor[rgb]{1.00,0.00,0.00}{##1}}} -\expandafter\def\csname PYG@tok@ge\endcsname{\let\PYG@it=\textit} -\expandafter\def\csname PYG@tok@gs\endcsname{\let\PYG@bf=\textbf} -\expandafter\def\csname PYG@tok@gp\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.78,0.36,0.04}{##1}}} -\expandafter\def\csname PYG@tok@go\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.20,0.20,0.20}{##1}}} -\expandafter\def\csname PYG@tok@gt\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.27,0.87}{##1}}} -\expandafter\def\csname PYG@tok@err\endcsname{\def\PYG@bc##1{\setlength{\fboxsep}{0pt}\fcolorbox[rgb]{1.00,0.00,0.00}{1,1,1}{\strut ##1}}} -\expandafter\def\csname PYG@tok@kc\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@kd\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@kn\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@kr\endcsname{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@bp\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} -\expandafter\def\csname PYG@tok@fm\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.02,0.16,0.49}{##1}}} -\expandafter\def\csname PYG@tok@vc\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.38,0.84}{##1}}} -\expandafter\def\csname PYG@tok@vg\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.38,0.84}{##1}}} -\expandafter\def\csname PYG@tok@vi\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.38,0.84}{##1}}} -\expandafter\def\csname PYG@tok@vm\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.38,0.84}{##1}}} -\expandafter\def\csname PYG@tok@sa\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@sb\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@sc\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@dl\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@s2\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@sh\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@s1\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} -\expandafter\def\csname PYG@tok@mb\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} -\expandafter\def\csname PYG@tok@mf\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} -\expandafter\def\csname PYG@tok@mh\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} -\expandafter\def\csname PYG@tok@mi\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} -\expandafter\def\csname PYG@tok@il\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} -\expandafter\def\csname PYG@tok@mo\endcsname{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} -\expandafter\def\csname PYG@tok@ch\endcsname{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}} -\expandafter\def\csname PYG@tok@cm\endcsname{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}} -\expandafter\def\csname PYG@tok@cpf\endcsname{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}} -\expandafter\def\csname PYG@tok@c1\endcsname{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}} +\@namedef{PYG@tok@w}{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.73,0.73}{##1}}} +\@namedef{PYG@tok@c}{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}} +\@namedef{PYG@tok@cp}{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@cs}{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}\def\PYG@bc##1{{\setlength{\fboxsep}{0pt}\colorbox[rgb]{1.00,0.94,0.94}{\strut ##1}}}} +\@namedef{PYG@tok@k}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@kp}{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@kt}{\def\PYG@tc##1{\textcolor[rgb]{0.56,0.13,0.00}{##1}}} +\@namedef{PYG@tok@o}{\def\PYG@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}} +\@namedef{PYG@tok@ow}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@nb}{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@nf}{\def\PYG@tc##1{\textcolor[rgb]{0.02,0.16,0.49}{##1}}} +\@namedef{PYG@tok@nc}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.05,0.52,0.71}{##1}}} +\@namedef{PYG@tok@nn}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.05,0.52,0.71}{##1}}} +\@namedef{PYG@tok@ne}{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@nv}{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.38,0.84}{##1}}} +\@namedef{PYG@tok@no}{\def\PYG@tc##1{\textcolor[rgb]{0.38,0.68,0.84}{##1}}} +\@namedef{PYG@tok@nl}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.13,0.44}{##1}}} +\@namedef{PYG@tok@ni}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.84,0.33,0.22}{##1}}} +\@namedef{PYG@tok@na}{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@nt}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.02,0.16,0.45}{##1}}} +\@namedef{PYG@tok@nd}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.33,0.33,0.33}{##1}}} +\@namedef{PYG@tok@s}{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@sd}{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@si}{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.44,0.63,0.82}{##1}}} +\@namedef{PYG@tok@se}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@sr}{\def\PYG@tc##1{\textcolor[rgb]{0.14,0.33,0.53}{##1}}} +\@namedef{PYG@tok@ss}{\def\PYG@tc##1{\textcolor[rgb]{0.32,0.47,0.09}{##1}}} +\@namedef{PYG@tok@sx}{\def\PYG@tc##1{\textcolor[rgb]{0.78,0.36,0.04}{##1}}} +\@namedef{PYG@tok@m}{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} +\@namedef{PYG@tok@gh}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.00,0.50}{##1}}} +\@namedef{PYG@tok@gu}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.50,0.00,0.50}{##1}}} +\@namedef{PYG@tok@gd}{\def\PYG@tc##1{\textcolor[rgb]{0.63,0.00,0.00}{##1}}} +\@namedef{PYG@tok@gi}{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.63,0.00}{##1}}} +\@namedef{PYG@tok@gr}{\def\PYG@tc##1{\textcolor[rgb]{1.00,0.00,0.00}{##1}}} +\@namedef{PYG@tok@ge}{\let\PYG@it=\textit} +\@namedef{PYG@tok@gs}{\let\PYG@bf=\textbf} +\@namedef{PYG@tok@gp}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.78,0.36,0.04}{##1}}} +\@namedef{PYG@tok@go}{\def\PYG@tc##1{\textcolor[rgb]{0.20,0.20,0.20}{##1}}} +\@namedef{PYG@tok@gt}{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.27,0.87}{##1}}} +\@namedef{PYG@tok@err}{\def\PYG@bc##1{{\setlength{\fboxsep}{\string -\fboxrule}\fcolorbox[rgb]{1.00,0.00,0.00}{1,1,1}{\strut ##1}}}} +\@namedef{PYG@tok@kc}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@kd}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@kn}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@kr}{\let\PYG@bf=\textbf\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@bp}{\def\PYG@tc##1{\textcolor[rgb]{0.00,0.44,0.13}{##1}}} +\@namedef{PYG@tok@fm}{\def\PYG@tc##1{\textcolor[rgb]{0.02,0.16,0.49}{##1}}} +\@namedef{PYG@tok@vc}{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.38,0.84}{##1}}} +\@namedef{PYG@tok@vg}{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.38,0.84}{##1}}} +\@namedef{PYG@tok@vi}{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.38,0.84}{##1}}} +\@namedef{PYG@tok@vm}{\def\PYG@tc##1{\textcolor[rgb]{0.73,0.38,0.84}{##1}}} +\@namedef{PYG@tok@sa}{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@sb}{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@sc}{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@dl}{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@s2}{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@sh}{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@s1}{\def\PYG@tc##1{\textcolor[rgb]{0.25,0.44,0.63}{##1}}} +\@namedef{PYG@tok@mb}{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} +\@namedef{PYG@tok@mf}{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} +\@namedef{PYG@tok@mh}{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} +\@namedef{PYG@tok@mi}{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} +\@namedef{PYG@tok@il}{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} +\@namedef{PYG@tok@mo}{\def\PYG@tc##1{\textcolor[rgb]{0.13,0.50,0.31}{##1}}} +\@namedef{PYG@tok@ch}{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}} +\@namedef{PYG@tok@cm}{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}} +\@namedef{PYG@tok@cpf}{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}} +\@namedef{PYG@tok@c1}{\let\PYG@it=\textit\def\PYG@tc##1{\textcolor[rgb]{0.25,0.50,0.56}{##1}}} \def\PYGZbs{\char`\\} \def\PYGZus{\char`\_} diff --git a/packs_lib/cplint/docs/_build/latex/sphinxhowto.cls b/packs_lib/cplint/docs/_build/latex/sphinxhowto.cls index 6e4858567a..951cf810df 100644 --- a/packs_lib/cplint/docs/_build/latex/sphinxhowto.cls +++ b/packs_lib/cplint/docs/_build/latex/sphinxhowto.cls @@ -1,9 +1,9 @@ % -% sphinxhowto.cls for Sphinx (http://sphinx-doc.org/) +% sphinxhowto.cls for Sphinx (https://www.sphinx-doc.org/) % \NeedsTeXFormat{LaTeX2e}[1995/12/01] -\ProvidesClass{sphinxhowto}[2018/12/22 v1.8.3 Document class (Sphinx howto)] +\ProvidesClass{sphinxhowto}[2019/12/01 v2.3.0 Document class (Sphinx howto)] % 'oneside' option overriding the 'twoside' default \newif\if@oneside @@ -27,6 +27,17 @@ \setcounter{secnumdepth}{2} \setcounter{tocdepth}{2}% i.e. section and subsection +% Adapt \and command to the flushright context of \sphinxmaketitle, to +% avoid ragged line endings if author names do not fit all on one single line +\DeclareRobustCommand{\and}{% + \end{tabular}\kern-\tabcolsep + \allowbreak + \hskip\dimexpr1em+\tabcolsep\@plus.17fil\begin{tabular}[t]{c}% +}% +% If it is desired that each author name be on its own line, use in preamble: +%\DeclareRobustCommand{\and}{% +% \end{tabular}\kern-\tabcolsep\\\begin{tabular}[t]{c}% +%}% % Change the title page to look a bit better, and fit in with the fncychap % ``Bjarne'' style a bit better. % @@ -46,7 +57,7 @@ {\Large \begin{tabular}[t]{c} \@author - \end{tabular}}\par + \end{tabular}\kern-\tabcolsep}\par \vspace{25pt} \@date \par \py@authoraddress \par @@ -57,15 +68,16 @@ %\gdef\@thanks{}\gdef\@author{}\gdef\@title{} } -\newcommand{\sphinxtableofcontents}{ +\newcommand{\sphinxtableofcontents}{% \begingroup - \parskip = 0mm + \parskip \z@skip + \sphinxtableofcontentshook \tableofcontents \endgroup - \rule{\textwidth}{1pt} - \vspace{12pt} -} - + \noindent\rule{\textwidth}{1pt}\par + \vspace{12pt}% +} +\newcommand\sphinxtableofcontentshook{} \pagenumbering{arabic} % Fix the bibliography environment to add an entry to the Table of diff --git a/packs_lib/cplint/docs/_build/latex/sphinxmanual.cls b/packs_lib/cplint/docs/_build/latex/sphinxmanual.cls index 1ab80d2643..2e4b30d921 100644 --- a/packs_lib/cplint/docs/_build/latex/sphinxmanual.cls +++ b/packs_lib/cplint/docs/_build/latex/sphinxmanual.cls @@ -1,9 +1,9 @@ % -% sphinxmanual.cls for Sphinx (http://sphinx-doc.org/) +% sphinxmanual.cls for Sphinx (https://www.sphinx-doc.org/) % \NeedsTeXFormat{LaTeX2e}[1995/12/01] -\ProvidesClass{sphinxmanual}[2018/12/22 v1.8.3 Document class (Sphinx manual)] +\ProvidesClass{sphinxmanual}[2019/12/01 v2.3.0 Document class (Sphinx manual)] % chapters starting at odd pages (overridden by 'openany' document option) \PassOptionsToClass{openright}{\sphinxdocclass} @@ -30,12 +30,23 @@ \setcounter{secnumdepth}{2} \setcounter{tocdepth}{1} +% Adapt \and command to the flushright context of \sphinxmaketitle, to +% avoid ragged line endings if author names do not fit all on one single line +\DeclareRobustCommand{\and}{% + \end{tabular}\kern-\tabcolsep + \allowbreak + \hskip\dimexpr1em+\tabcolsep\@plus.17fil\begin{tabular}[t]{c}% +}% +% If it is desired that each author name be on its own line, use in preamble: +%\DeclareRobustCommand{\and}{% +% \end{tabular}\kern-\tabcolsep\\\begin{tabular}[t]{c}% +%}% % Change the title page to look a bit better, and fit in with the fncychap % ``Bjarne'' style a bit better. % \newcommand{\sphinxmaketitle}{% - \let\spx@tempa\relax - \ifHy@pageanchor\def\spx@tempa{\Hy@pageanchortrue}\fi + \let\sphinxrestorepageanchorsetting\relax + \ifHy@pageanchor\def\sphinxrestorepageanchorsetting{\Hy@pageanchortrue}\fi \hypersetup{pageanchor=false}% avoid duplicate destination warnings \begin{titlepage}% \let\footnotesize\small @@ -55,7 +66,7 @@ {\LARGE \begin{tabular}[t]{c} \@author - \end{tabular} + \end{tabular}\kern-\tabcolsep \par} \vfill\vfill {\large @@ -72,13 +83,14 @@ \clearpage \ifdefined\sphinxbackoftitlepage\sphinxbackoftitlepage\fi \if@openright\cleardoublepage\else\clearpage\fi - \spx@tempa + \sphinxrestorepageanchorsetting } \newcommand{\sphinxtableofcontents}{% \pagenumbering{roman}% \begingroup \parskip \z@skip + \sphinxtableofcontentshook \tableofcontents \endgroup % before resetting page counter, let's do the right thing. @@ -89,8 +101,10 @@ % This is needed to get the width of the section # area wide enough in the % library reference. Doing it here keeps it the same for all the manuals. % -\renewcommand*\l@section{\@dottedtocline{1}{1.5em}{2.6em}} -\renewcommand*\l@subsection{\@dottedtocline{2}{4.1em}{3.5em}} +\newcommand{\sphinxtableofcontentshook}{% + \renewcommand*\l@section{\@dottedtocline{1}{1.5em}{2.6em}}% + \renewcommand*\l@subsection{\@dottedtocline{2}{4.1em}{3.5em}}% +} % Fix the bibliography environment to add an entry to the Table of % Contents. diff --git a/packs_lib/cplint/docs/conf.py b/packs_lib/cplint/docs/conf.py index 0a0356992d..3ead7a3cad 100644 --- a/packs_lib/cplint/docs/conf.py +++ b/packs_lib/cplint/docs/conf.py @@ -32,7 +32,7 @@ # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = ['sphinxcontrib.bibtex','sphinx.ext.autosectionlabel','sphinx.ext.mathjax'] - +bibtex_bibfiles = ['newbib.bib'] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] diff --git a/packs_lib/cplint/docs/index.rst b/packs_lib/cplint/docs/index.rst index 38597e9edc..1918d8306a 100644 --- a/packs_lib/cplint/docs/index.rst +++ b/packs_lib/cplint/docs/index.rst @@ -9,7 +9,7 @@ cplint on SWISH Manual - SWI-Prolog Version .. toctree:: :maxdepth: 2 - +.. highlight:: cplint Introduction ============ @@ -39,7 +39,9 @@ It requires the packs * `auc `_ * `matrix `_ -They are installed automatically when installing pack `cplint` or can installed manually as :: +They are installed automatically when installing pack `cplint` or can installed manually as + +.. code-block:: console $ swipl ?- pack_install(bddem). @@ -52,7 +54,9 @@ They are installed automatically when installing pack `cplint` or can installed On 32 and 64 bits Linux this should work out of the box. On 64 bits Windows the library must be rebuilt by hand, see the pack page ``_. -You can upgrade the pack with :: +You can upgrade the pack with + +.. code-block:: console $ swipl ?- pack_upgrade(cplint). @@ -61,7 +65,8 @@ Note that the packs on which `cplint` depends are not upgraded automatically in Example of use --------------- -:: + +.. code-block:: console $ cd /cplint/prolog/examples $ swipl @@ -70,7 +75,8 @@ Example of use Testing the installation ------------------------ -:: + +.. code-block:: console $ swipl ?- [library(cplint_test/test)]. @@ -233,7 +239,8 @@ where :code:`Density` is a special atom identifying a probability density on var - :code:`binomial(Var,N,P)` :code:`Var` follows a binomial distribution with parameters :code:`N` (number of trials) and :code:`P` (success probability). - :code:`geometric(Var,P)` :code:`Var` follows a geometric distribution with parameter :code:`P` (success probability). - :code:`exponential(Var,Lambda)` :code:`Var` follows an exponential distribution with parameter :code:`Lambda` (rate, or inverse scale). -- :code:`pascal(Var,R,P)` :code:`Var` follows an exponential distribution with parameters :code:`R` (number of failures) and :code:`P` (success probability). +- :code:`negative_binomial(Var,R,P)` :code:`Var` follows a negative binomial distribution with parameters :code:`N` (number of successes) and :code:`P` (success probability). +- :code:`multinomial(Var,N,P)` :code:`Var` (vector/list of event numbers) follows a multinomial distribution with parameters :code:`N` (number of trials) and :code:`P` (vector/list of event probabilities). For example :: @@ -320,9 +327,9 @@ Distributional Clauses Syntax You can also use the syntax of Distributional Clauses (DC) :cite:`Nitti2016`. Continuous random variables are represented in this case by term whose distribution can be specified with density atoms as in :: - T~Density' := Body. + T~Density := Body. -Here :code:`:=` replaces the implication symbol, :code:`T` is a term and :code:`Density'` is one of the density atoms above without the :code:`Var` argument, because :code:`T` itself represents a random variables. +Here :code:`:=` replaces the implication symbol, :code:`T` is a term and :code:`Density` is one of the density atoms above without the :code:`Var` argument, because :code:`T` itself represents a random variables. In the body of clauses you can use the infix operator :code:`~=` to equate a term representing a random variable with a logical variable or a constant as in :code:`T ~= X`. Internally :code:`cplint` transforms the terms representing random variables into atoms with an extra argument for holding the variable. @@ -337,57 +344,22 @@ If :code:`Body` is empty, as in regular Prolog, the implication symbol :code:`:= The Indian GPA problem from ``_ in distributional clauses syntax (``_) takes the form (`indian_gpadc.pl `_): :: - is_density_A:0.95;is_discrete_A:0.05. - % the probability distribution of GPA scores for American students is - % continuous with probability 0.95 and discrete with probability 0.05 + coin ~ finite([0.95:true,0.05:false]). + agpa ~ beta(8,2) := coin~=true. + american_gpa ~ finite([0.85:4.0,0.15:0.0]) := coin~=false. - agpa(A): beta(A,8,2) :- is_density_A. - % the GPA of American students follows a beta distribution if the - % distribution is continuous + american_gpa ~ val(V) := agpa ~=A, V is A*4.0. - american_gpa(G) : finite(G,[4.0:0.85,0.0:0.15]) :- is_discrete_A. - % the GPA of American students is 4.0 with probability 0.85 and 0.0 - % with - % probability 0.15 if the - % distribution is discrete - - american_gpa(A):- agpa(A0), A is A0*4.0. - % the GPA of American students is obtained by rescaling the value of - % agpa - % to the (0.0,4.0) interval - - is_density_I : 0.99; is_discrete_I:0.01. - % the probability distribution of GPA scores for Indian students is - % continuous with probability 0.99 and discrete with probability - % 0.01 - - igpa(I): beta(I,5,5) :- is_density_I. - % the GPA of Indian students follows a beta distribution if the - % distribution is continuous - - indian_gpa(I): finite(I,[0.0:0.1,10.0:0.9]):- is_discrete_I. - % the GPA of Indian students is 10.0 with probability 0.9 and 0.0 - % with - % probability 0.1 if the - % distribution is discrete - - indian_gpa(I) :- igpa(I0), I is I0*10.0. - % the GPA of Indian students is obtained by rescaling the value - % of igpa - % to the (0.0,4.0) interval - - nation(N) : finite(N,[a:0.25,i:0.75]). - % the nation is America with probability 0.25 and India with - % probability 0.75 - - student_gpa(G):- nation(a),american_gpa(G). - % the GPA of the student is given by american_gpa if the nation is - % America - - student_gpa(G) :- nation(i),indian_gpa(G). - % the GPA of the student is given by indian_gpa if the nation - % is India + coin2 ~ finite([0.99:true,0.01:false]). + igpa ~ beta(5,5) := coin2~=true. + indian_gpa ~ finite([0.1:0.0,0.9:10.0]) := coin2~=false. + + indian_gpa ~ val(V) := igpa ~=A, V is A*10.0. + nation ~ finite([0.25:a,0.75:i]). + + student_gpa ~ val(A) := nation~=a,american_gpa~=A. + student_gpa ~ val(I) := nation~=i,indian_gpa~=I. Semantics ================== @@ -490,7 +462,9 @@ To run a query, you can simply load the Prolog file, for example `coin.pl `_. For example, the :code:`swish-ask.sh` client can be used with bash to download the results for a query in CSV. -The call below downloads a CSV file for the coin example. :: +The call below downloads a CSV file for the coin example + +.. code-block:: console $ bash swish-ask.sh --server=http://cplint.eu e/coin.pl Prob "prob(heads(coin),Prob)" The script can ask queries against Prolog scripts stored in `http://cplint.eu `_ by specifying the script on the commandline. -User defined files stored in :code:`cplint` on SWISH (locations of type `http://cplint.eu/p/coin_user.pl `_) can be directly used, for example: :: +User defined files stored in :code:`cplint` on SWISH (locations of type `http://cplint.eu/p/coin_user.pl `_) can be directly used, for example: + +.. code-block:: console $ bash swish-ask.sh --server=http://cplint.eu coin_user.pl Prob "prob(heads(coin),Prob)" Example programs can be used by specifying the folder portion of the url of the example, as in the first coin example above where the url for the program is ``__. -You can also use an url for the program as in :: +You can also use an url for the program as in + +.. code-block:: console $ bash swish-ask.sh --server=http://cplint.eu \ https://raw.githubusercontent.com/friguzzi/swish/\ master/e/coin.pl Prob "prob(heads(coin),Prob)" Results can be downloaded in JSON using the option :code:`--json-s` or :code:`--json-html`. With the first the output is in a simple string format where Prolog terms are sent using quoted write, the latter serialize responses as HTML strings. -E.g. :: +E.g. + +.. code-block:: console $ bash swish-ask.sh --json-s --server=http://cplint.eu \ coin_user.pl Prob "prob(heads(coin),Prob)" diff --git a/packs_lib/cplint/prolog/cplint_test/cplint_test.pl b/packs_lib/cplint/prolog/cplint_test/cplint_test.pl index 8682f8f95b..ed6c2b979a 100644 --- a/packs_lib/cplint/prolog/cplint_test/cplint_test.pl +++ b/packs_lib/cplint/prolog/cplint_test/cplint_test.pl @@ -2,12 +2,14 @@ :-module(cplint_test, [close_to/2,close_to/3,relatively_close_to/2,relatively_close_to/3,run/1, - perm/2]). + perm/2,perm_map/2]). :- meta_predicate run(:). perm(A,B):- permutation(A,B),!. +perm_map(L,LR):- + maplist(permutation,L,LR), !. run(M:H):- copy_term(H,NH), diff --git a/packs_lib/cplint/prolog/cplint_test/test_mc.pl b/packs_lib/cplint/prolog/cplint_test/test_mc.pl index 495c262227..76b7f491ec 100644 --- a/packs_lib/cplint/prolog/cplint_test/test_mc.pl +++ b/packs_lib/cplint/prolog/cplint_test/test_mc.pl @@ -418,8 +418,8 @@ test(poisson):- run((mc_sample(success_poisson,1000,P),close_to(P,0.042))). -test(pascal):- - run((mc_sample(success_pascal,1000,P),close_to(P,0.036))). +test(negative_binomial):- + run((mc_sample(success_negative_binomial,1000,P),close_to(P,0.02))). :- end_tests(bitcoin_attack). diff --git a/packs_lib/cplint/prolog/cplint_test/test_pita.pl b/packs_lib/cplint/prolog/cplint_test/test_pita.pl index 312b19f2fa..8e44f10503 100644 --- a/packs_lib/cplint/prolog/cplint_test/test_pita.pl +++ b/packs_lib/cplint/prolog/cplint_test/test_pita.pl @@ -39,6 +39,7 @@ hmm_mpe, meta, pcfg, + pcfglrdb, var_objdb, card, dt_umbrella, @@ -86,7 +87,7 @@ :- begin_tests(dt_viral, []). :- ensure_loaded(library(examples/dt_viral)). test(best_st_viral):- - ansi_format([bold,fg(cyan)], '~nThis test takes few seconds.~n',[]), + ansi_format([bold,fg(cyan)], '~nThis test takes some time.~n',[]), % run((dt_solve(Strategy,ExpValue),close_to(ExpValue,2.217),perm(Strategy,[[marketed(theo)],[marketed(guy)]]))). run((dt_solve(Strategy,ExpValue),close_to(ExpValue,3.21),perm(Strategy,[[marketed(theo)],[marketed(martijn)],[marketed(ingo)],[marketed(guy)]]))). :- end_tests(dt_viral). @@ -421,9 +422,9 @@ :-ensure_loaded(library(examples/abd1)). test(a):- - run((abd_prob(a,P,Exp),close_to(P,0.72),perm(Exp,[e, c]))). + run((abd_prob(a,P,Exp),close_to(P,0.72),perm_map(Exp,[[e,c]]))). test(bdd_a):- - run((abd_bdd_dot_string(a,_BDD,_Var,_VarA,P,Exp),close_to(P,0.72),perm(Exp,[e, c]))). + run((abd_bdd_dot_string(a,_BDD,_Var,_VarA,P,Exp),close_to(P,0.72),perm_map(Exp,[[e,c]]))). :- end_tests(abd1). @@ -432,7 +433,7 @@ :-ensure_loaded(library(examples/abd1cons1)). test(a):- - run((abd_prob(a,P,Exp),close_to(P,0.6),perm(Exp,[\+c, e]))). + run((abd_prob(a,P,[[e]]),close_to(P,0.6))). :- end_tests(abd1cons1). @@ -441,7 +442,7 @@ :-ensure_loaded(library(examples/abd1cons2)). test(a):- - run((abd_prob(a,P,Exp),close_to(P,0.648),perm(Exp,[c, e]))). + run((abd_prob(a,P,Exp),close_to(P,0.648),perm_map(Exp,[[c,e]]))). :- end_tests(abd1cons2). @@ -450,10 +451,9 @@ :-ensure_loaded(library(examples/abd2)). test(a):- - run((abd_prob(a,P,Exp),close_to(P,0.72),perm(Exp,[f, (\+g), c, d]))). + run((abd_prob(a,P,Exp),close_to(P,0.72),perm_map(Exp,[[f,c,d]]))). test(bdd_a):- - run((abd_bdd_dot_string(a,_BDD,_Var,_VarA,P,Exp),close_to(P,0.72), - perm(Exp,[f, (\+g), c, d]))). + run((abd_bdd_dot_string(a,_BDD,_Var,_VarA,P,Exp),close_to(P,0.72), perm_map(Exp,[[f,c,d]]))). :- end_tests(abd2). @@ -462,10 +462,10 @@ :-ensure_loaded(library(examples/abd3)). test(a):- - run((abd_prob(a,P,Exp),close_to(P,0.72),perm(Exp,[c, d, f, \+g]))). + run((abd_prob(a,P,Exp),close_to(P,0.72),perm_map(Exp,[[c,d,f]]))). test(bdd_a):- run((abd_bdd_dot_string(a,_BDD,_Var,_VarA,P,Exp),close_to(P,0.72), - perm(Exp,[c, d, f, \+g]))). + perm_map(Exp,[[c,d,f]]))). :- end_tests(abd3). @@ -552,8 +552,8 @@ :-ensure_loaded(library(examples/eruption_mpe)). -test(ev):- - run((map(ev,P,Exp),close_to(P,0.08316), +test(eruption):- + run((map(eruption,P,Exp),close_to(P,0.08316), perm(Exp,[rule(1,sudden_energy_release,[sudden_energy_release:0.7,'':0.30000000000000004],true), rule(2,fault_rupture(southwest_northeast),[fault_rupture(southwest_northeast):0.6,'':0.4],true), rule(3,fault_rupture(east_west),[fault_rupture(east_west):0.55,'':0.44999999999999996],true), @@ -643,11 +643,22 @@ :-ensure_loaded(library(examples/pcfg)). test(pcfg):- - run((prob(pcfg([a,b,a,a]),Prob),close_to(Prob,0.0024) + run((prob(pcfg([a,b,a,a]),Prob),close_to(Prob,0.0024,0.0001) )). :- end_tests(pcfg). + +:- begin_tests(pcfglrdb, []). + +:-ensure_loaded(library(examples/pcfglrdb)). + +test(pcfglrdb):- + run((prob(pcfg([a]),Prob),close_to(Prob,0.3) + )). + +:- end_tests(pcfglrdb). + :- begin_tests(card, []). :-ensure_loaded(library(examples/card)). diff --git a/packs_lib/cplint/prolog/examples/abd3.pl b/packs_lib/cplint/prolog/examples/abd3.pl index e5f932325d..34bc831f71 100644 --- a/packs_lib/cplint/prolog/examples/abd3.pl +++ b/packs_lib/cplint/prolog/examples/abd3.pl @@ -21,8 +21,6 @@ abducible f. abducible g. -constraints. - :- end_lpad. /** diff --git a/packs_lib/cplint/prolog/examples/bitcoin_attack.pl b/packs_lib/cplint/prolog/examples/bitcoin_attack.pl index bd1a180833..5ec74acd87 100644 --- a/packs_lib/cplint/prolog/examples/bitcoin_attack.pl +++ b/packs_lib/cplint/prolog/examples/bitcoin_attack.pl @@ -13,7 +13,7 @@ % progress function attacker_progress_poisson(X):poisson(X,Lambda):- Lambda is 10*0.3/0.7. -attacker_progress_pascal(X):pascal(X,10,0.3). +attacker_progress_negative_binomial(X):negative_binomial(X,10,0.3). move(T,1):0.7; move(T,-1):0.3. @@ -38,8 +38,8 @@ walk(V) ). -success_pascal:- - attacker_progress_pascal(A), +success_negative_binomial:- + attacker_progress_negative_binomial(A), V is 10 - A, ( V = 0 -> true; @@ -50,5 +50,5 @@ /** ?- mc_prob(success_poisson,Prob). -?- mc_prob(success_pascal,Prob). +?- mc_prob(success_negative_binomial,Prob). */ diff --git a/packs_lib/cplint/prolog/examples/eruption_mpe.pl b/packs_lib/cplint/prolog/examples/eruption_mpe.pl index 424f1549a3..e5269d1814 100644 --- a/packs_lib/cplint/prolog/examples/eruption_mpe.pl +++ b/packs_lib/cplint/prolog/examples/eruption_mpe.pl @@ -1,4 +1,3 @@ -% Empty with pita loaded :- use_module(library(pita)). :- if(current_predicate(use_rendering/1)). :- use_rendering(c3). @@ -18,7 +17,7 @@ :- end_lpad. -/** Your example queries go here, e.g. +/** ?- map(eruption,P,MPE). MPE = [rule(1,sudden_energy_release,[sudden_energy_release:0.7,'':0.30000000000000004],true), rule(2,fault_rupture(southwest_northeast),[fault_rupture(southwest_northeast):0.6,'':0.4],true), diff --git a/packs_lib/cplint/prolog/examples/pcfg.cpl b/packs_lib/cplint/prolog/examples/pcfg.cpl index 4df2f7405f..87e4974a8b 100644 --- a/packs_lib/cplint/prolog/examples/pcfg.cpl +++ b/packs_lib/cplint/prolog/examples/pcfg.cpl @@ -12,28 +12,32 @@ Theory and Practice of Logic Programming, doi:10.1017/S1471068413000677. % pcfg(L,LT,LT0) L is a tring of terminals and not terminals that derives % the list of terminals in LT-LT0 -pcfg(L):- pcfg(['S'],L,[]). +pcfg(L):- pcfg(['S'],[],_Der,L,[]). % L is accepted if it can be derived from the start symbol S and an empty % string of previous terminals -pcfg([A|R],L0,L2):- - rule(A,L0,RHS), - pcfg(RHS,L0,L1), - pcfg(R,L1,L2). +pcfg([A|R],Der0,Der,L0,L2):- + grammar_rule(A,Der0,RHS), + pcfg(RHS,[rule(A,RHS)|Der0],Der1,L0,L1), + pcfg(R,Der1,Der,L1,L2). % if there is a rule for A (i.e. it is a non-terminal), expand A using the rule % and continue with the rest of the list -pcfg([A|R],[A|L1],L2):- - \+ rule(A,_,_), - pcfg(R,L1,L2). +pcfg([A|R],Der0,Der,[A|L1],L2):- + terminal(A), + pcfg(R,Der0,Der,L1,L2). % if A is a terminal, move it to the output string -pcfg([],L,L). +pcfg([],Der,Der,L,L). % there are no more symbols to expand -rule('S',L,[a,'S']):0.2; rule('S',L,[b,'S']):0.2; rule('S',L,[a]):0.3; rule('S',L,[b]):0.3. +grammar_rule('S',Der,[a,'S']):0.2; grammar_rule('S',Der,[b,'S']):0.2; + grammar_rule('S',Der,[a]):0.3; grammar_rule('S',Der,[b]):0.3. % encodes the three rules of the grammar +terminal(a). +terminal(b). + /** ?- pcfg([a,b,a,a]). % what is the probability that the string abaa belongs to the language? diff --git a/packs_lib/cplint/prolog/examples/pcfg.pl b/packs_lib/cplint/prolog/examples/pcfg.pl index 47012ce2cb..8c094fa2f6 100644 --- a/packs_lib/cplint/prolog/examples/pcfg.pl +++ b/packs_lib/cplint/prolog/examples/pcfg.pl @@ -27,7 +27,7 @@ % string of previous terminals pcfg([A|R],Der0,Der,L0,L2):- - rule(A,Der0,RHS), + grammar_rule(A,Der0,RHS), pcfg(RHS,[rule(A,RHS)|Der0],Der1,L0,L1), pcfg(R,Der1,Der,L1,L2). % if there is a rule for A (i.e. it is a non-terminal), expand A using the rule @@ -41,7 +41,8 @@ pcfg([],Der,Der,L,L). % there are no more symbols to expand -rule('S',Der,[a,'S']):0.2; rule('S',Der,[b,'S']):0.2; rule('S',Der,[a]):0.3; rule('S',Der,[b]):0.3. +grammar_rule('S',Der,[a,'S']):0.2; grammar_rule('S',Der,[b,'S']):0.2; + grammar_rule('S',Der,[a]):0.3; grammar_rule('S',Der,[b]):0.3. % encodes the three rules of the grammar terminal(a). diff --git a/packs_lib/cplint/prolog/examples/pcfglr.pl b/packs_lib/cplint/prolog/examples/pcfglr.pl index 970644b62d..dace7da7a0 100644 --- a/packs_lib/cplint/prolog/examples/pcfglr.pl +++ b/packs_lib/cplint/prolog/examples/pcfglr.pl @@ -1,7 +1,8 @@ /* -Probabilistic contect-free grammar. -0.2:S->aS -0.2:S->bS +Probabilistic context-free grammar. The grammar is left-recursive, MCINTYRE +is necessary to ensure termination. +Grammar: +0.4:S->SS 0.3:S->a 0.3:S->b From @@ -18,7 +19,7 @@ :- begin_lpad. % pcfg(LT): LT is string of terminals accepted by the grammar -% pcfg(L,LT,LT0) L is a tring of terminals and not terminals that derives +% pcfg(L,LT,LT0) L is a string of terminals and not terminals that derives % the list of terminals in LT-LT0 pcfg(L):- pcfg(['S'],[],_Der,L,[]). diff --git a/packs_lib/cplint/prolog/examples/pcfglrdb.pl b/packs_lib/cplint/prolog/examples/pcfglrdb.pl index 9a07d2799f..ef357ee375 100644 --- a/packs_lib/cplint/prolog/examples/pcfglrdb.pl +++ b/packs_lib/cplint/prolog/examples/pcfglrdb.pl @@ -1,7 +1,7 @@ /* -Probabilistic contect-free grammar. -0.2:S->aS -0.2:S->bS +Probabilistic context-free grammar. The grammar is left-recursive, depth bounded +inference is necessary to ensure termination. +0.4:S->SS 0.3:S->a 0.3:S->b From @@ -30,25 +30,27 @@ % string of previous terminals pcfg([A|R],Der0,Der,L0,L2):- - rule(A,Der0,RHS), + grammar_rule(A,Der0,RHS), pcfg(RHS,[rule(A,RHS)|Der0],Der1,L0,L1), pcfg(R,Der1,Der,L1,L2). % if there is a rule for A (i.e. it is a non-terminal), expand A using the rule % and continue with the rest of the list pcfg([A|R],Der0,Der,[A|L1],L2):- - \+ rule(A,_,_), + terminal(A), pcfg(R,Der0,Der,L1,L2). % if A is a terminal, move it to the output string pcfg([],Der,Der,L,L). % there are no more symbols to expand -rule('S',Der,['S','S']):0.4; rule('S',Der,[a]):0.3; - rule('S',Der,[b]):0.3. - +grammar_rule('S',Der,['S','S']):0.4; grammar_rule('S',Der,[a]):0.3; + grammar_rule('S',Der,[b]):0.3. % encodes the three rules of the grammar +terminal(a). +terminal(b). + :- end_lpad. diff --git a/packs_lib/cplint/prolog/examples/widget.pl b/packs_lib/cplint/prolog/examples/widget.pl index 50681b93b9..7e4bb63e2d 100644 --- a/packs_lib/cplint/prolog/examples/widget.pl +++ b/packs_lib/cplint/prolog/examples/widget.pl @@ -8,7 +8,7 @@ If the widget is produced by machine b, the feature is distributed as a Gaussian with mean 3.0 and variance 1.0. The widget then is processed by a third machine that adds a random quantity to -the feature distributed as a Gaussian with mean 0.5 and variance 1.5. +the feature distributed as a Gaussian with mean 0.5 and variance 0.1. What is the distribution of the feature? What is the distribution of the feature given that the widget was procuded by machine a? @@ -43,7 +43,7 @@ st(b,X): gaussian(X,3.0, 1.0). -pt(X): gaussian(X,0.5, 1.5). +pt(X): gaussian(X,0.5, 0.1). :- end_lpad. diff --git a/packs_lib/cplint/prolog/examples/widgetmsw.pl b/packs_lib/cplint/prolog/examples/widgetmsw.pl index 6fad89bb89..10ff88d2d8 100644 --- a/packs_lib/cplint/prolog/examples/widgetmsw.pl +++ b/packs_lib/cplint/prolog/examples/widgetmsw.pl @@ -8,7 +8,7 @@ If the widget is produced by machine b, the feature is distributed as a Gaussian with mean 3.0 and variance 1.0. The widget then is processed by a third machine that adds a random quantity to -the feature distributed as a Gaussian with mean 0.5 and variance 1.5. +the feature distributed as a Gaussian with mean 0.5 and variance 0.1. What is the distribution of the feature? What is the distribution of the feature given that the widget was procuded by machine a? diff --git a/packs_lib/cplint/prolog/lemur.pl b/packs_lib/cplint/prolog/lemur.pl index 092930135a..bd2fac1393 100644 --- a/packs_lib/cplint/prolog/lemur.pl +++ b/packs_lib/cplint/prolog/lemur.pl @@ -25,7 +25,6 @@ :-use_module(library(random)). :-use_module(library(system)). :-use_module(library(terms)). -:-use_module(library(rbtrees)). :- set_prolog_flag(discontiguous_warnings,on). diff --git a/packs_lib/cplint/prolog/mcintyre.pl b/packs_lib/cplint/prolog/mcintyre.pl index fe8fb705dd..d872f46516 100644 --- a/packs_lib/cplint/prolog/mcintyre.pl +++ b/packs_lib/cplint/prolog/mcintyre.pl @@ -153,7 +153,6 @@ :-meta_predicate setting_mc(:,-). :-use_module(library(lists)). -:-use_module(library(rbtrees)). :-use_module(library(apply)). :-use_module(library(assoc)). :-use_module(library(clpr)). @@ -2642,7 +2641,7 @@ /** * multinomial(+N:int,+P:list,+M:module,-S:list) is det * - * samples a value from a multinomiaò probability distribution with parameters + * samples a value from a multinomial probability distribution with parameters * N and P and returns it in S. */ @@ -2770,40 +2769,42 @@ exponential(Lambda,_M,X,V):- V is Lambda*exp(-Lambda*X). + /** - * pascal(+R:int,+P:float,+M:module,-Value:int) is det + * negative_binomial(+N:int,+P:float,+M:module,-Value:int) is det * - * samples a value from a pascal probability distribution with parameters + * samples a value from a negative binomial probability distribution with parameters * R and P and returns it in Value. - * R is the number of failures + * N is the number of successes * P is the success probability */ -% R number of failures +% N number of successes % P probability of success -pascal(R,P,_M,Value):- - pascal_int(0,R,P,V0), +negative_binomial(N,P,_M,Value):- random(RandomVal), - pascal_prob_(0,R,P,V0,RandomVal,Value). + negative_binomial_prob_(0,N,P,0,RandomVal,Value). -pascal_prob_(I,_,_,CurrentProb,RandomVal,I):- - RandomVal =< CurrentProb, !. -pascal_prob_(I,R,P,CurrentProb,RandomVal,V):- +negative_binomial_prob_(I,_,_,CurrentProb,RandomVal,I1):- + RandomVal =< CurrentProb, !, + I1 is I - 1. +negative_binomial_prob_(I,R,P,CurrentProb,RandomVal,V):- + negative_binomial_int(I,R,P,V0), I1 is I+1, - pascal_int(I1,R,P,V0), CurrentProb1 is V0 + CurrentProb, - pascal_prob_(I1,R,P,CurrentProb1,RandomVal,V). + negative_binomial_prob_(I1,R,P,CurrentProb1,RandomVal,V). /* -* K number of successes -* R number of failures +* N number of successes +* X number of failures * P probability of success */ -pascal_int(K,R,P,Value):- - KR1 is K+R-1, - binomial_coeff(KR1,K,Bin), - Value is Bin*(P**K)*(1-P)**R. +negative_binomial_int(X,N,P,Value):- + XN1 is X+N-1, + binomial_coeff(XN1,X,Bin), + Value is Bin*(P**N)*(1-P)**X. +binomial_coeff(N,K,0):- N < K, !. binomial_coeff(N,K,Val):- fact(N,1,NF), fact(K,1,KF), @@ -2948,30 +2949,6 @@ setting_mc(M:P,V):- M:local_mc_setting(P,V). -extract_vars_list(L,[],V):- - rb_new(T), - extract_vars_term(L,T,T1), - rb_keys(T1,V). - -extract_vars_term(Variable, Var0, Var1) :- - var(Variable), !, - (rb_lookup(Variable, Var0,_) -> - Var1 = Var0 - ; - rb_insert(Var0,Variable,1,Var1) - ). - -extract_vars_term(Term, Var0, Var1) :- - Term=..[_F|Args], - extract_vars_tree(Args, Var0, Var1). - - - -extract_vars_tree([], Var, Var). - -extract_vars_tree([Term|Tail], Var0, Var1) :- - extract_vars_term(Term, Var0, Var), - extract_vars_tree(Tail, Var, Var1). delete_equal([],_,[]). @@ -3105,7 +3082,7 @@ Head=(H~Distr0), !, add_arg(H,Var,H1), switch_finite(Distr0,Distr), - extract_vars_list([Head,Body],[],VC), + term_variables([Head,Body],VC), get_next_rule_number(M,R), (M:local_mc_setting(single_var,true)-> generate_clause_distr(H1,Body,[],M,R,Var,Distr,Clause) @@ -3122,7 +3099,7 @@ Head = (_;_), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list((Head :- Body),[],VC), + term_variables((Head :- Body),VC), get_next_rule_number(M,R), (M:local_mc_setting(single_var,true)-> generate_rules(HeadList,Body,HeadList,[],M,R,0,Clauses) @@ -3140,7 +3117,7 @@ Distr0=..[D,Var|Pars], is_dist(M,D),!, Distr=..[D|Pars], - extract_vars_list([Head,Body],[],VC0), + term_variables([Head,Body],VC0), delete_equal(VC0,Var,VC), get_next_rule_number(M,R), (M:local_mc_setting(single_var,true)-> @@ -3165,7 +3142,7 @@ (Head = (H:_);Head = (_::H)), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list((Head :- Body),[],VC), + term_variables((Head :- Body),VC), get_next_rule_number(M,R), (M:local_mc_setting(single_var,true)-> generate_clause_samp(H,Body,HeadList,[],M,R,0,Clauses) @@ -3180,7 +3157,7 @@ Head=(_;_), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list(Head,[],VC), + term_variables(Head,VC), get_next_rule_number(M,R), (M:local_mc_setting(single_var,true)-> generate_rules_fact(HeadList,HeadList,[],M,R,0,Clauses) @@ -3197,7 +3174,7 @@ !, switch_finite(Distr0,Distr), add_arg(H,Var,H1), - extract_vars_list(Head,[],VC), + term_variables(Head,VC), get_next_rule_number(M,R), (M:local_mc_setting(single_var,true)-> generate_clause_distr(H1,true,[],M,R,Var,Distr,Clause) @@ -3215,7 +3192,7 @@ Distr0=..[D,Var|Pars], is_dist(M,D),!, Distr=..[D|Pars], - extract_vars_list([Head],[],VC0), + term_variables([Head],VC0), delete_equal(VC0,Var,VC), get_next_rule_number(M,R), (M:local_mc_setting(single_var,true)-> @@ -3250,7 +3227,7 @@ (Head=(H:_);Head=(_::H)), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), (M:local_mc_setting(single_var,true)-> generate_clause_samp(H,true,HeadList,[],M,R,0,Clause) @@ -3320,7 +3297,7 @@ multinomial, geometric, exponential, - pascal, + negative_binomial, user ]),!. diff --git a/packs_lib/cplint/prolog/pita.pl b/packs_lib/cplint/prolog/pita.pl index e2e31c97bc..d2d257afbb 100644 --- a/packs_lib/cplint/prolog/pita.pl +++ b/packs_lib/cplint/prolog/pita.pl @@ -71,7 +71,6 @@ % :- dynamic utility/2. :-use_module(library(lists)). -:-use_module(library(rbtrees)). :-use_module(library(apply)). :-use_module(library(assoc)). @@ -156,25 +155,6 @@ pair(M,A,B):- M:rule_by_num(A,B,_,_). split([A,B],A,B). -/** - * dt_solve(-Strategy:list,-Cost:float) is det - * - * The predicate computes the best solution for the decision theory - * problem. It returns the best strategy in Strategy and it cost - * in Cost. Solution with pruning. - */ -dt_solve_bug(M:Strategy,Cost):- - abolish_all_tables, - findall([S,U],M:'$util'(S,U),L), - % writeln(L), - maplist(split,L,LStrategy,LUtils), - init(Env), - get_bdd(M,Env,LStrategy,[],LBDD), - % writeln(LBDD), - compute_best_strategy(Env,LBDD,LUtils,St,Cost), - end(Env), - maplist(pair(M),St,Strategy). - get_bdd(_,_,[],L,L):- !. get_bdd(M,Env,[G|T],L,LO):- get_node(M:G,Env,Out), @@ -264,21 +244,46 @@ end(Env), erase(Ref), member((Goal,P,Exp),L), - from_assign_to_exp(Exp,M,Delta). + maplist(from_assign_to_exp(M),Exp,DeltaAll), + simplify_delta(DeltaAll,Delta). + +subset_([], []). +subset_([E|Tail], [E|NTail]):- + subset_(Tail, NTail). +subset_([_|Tail], NTail):- + subset_(Tail, NTail). + +mycompare(<,L1,L2) :- length(L1,A1), length(L2,A2), A1 < A2. +mycompare(>, _, _). + +sub([A],[A]). +sub([H|T],[V|R]):- + findall(X,(subset_(H,X), member(X,T)),LX), + ( LX = [] -> + V = H, + sub(T,R) ; + sub(T,[V|R]) + ). +simplify_delta([],[]):- !. +simplify_delta(Din,Delta):- + predsort(mycompare,Din,LS), + reverse(LS,LNR), + sub(LNR,Delta), !. -from_assign_to_exp([],_M,[]). -from_assign_to_exp([Var-Val|TA],M,[Abd|TDelta]):- +from_assign_to_exp(_M,[],[]):- !. +from_assign_to_exp(M,[Var-Val|TA],[Abd|TDelta]):- M:av(R,S,Var), M:abd(R,S,H), (Val=1-> Abd=H ; Abd= \+(H) + % Abd= [] ), - from_assign_to_exp(TA,M,TDelta). + from_assign_to_exp(M,TA,TDelta). /** @@ -351,7 +356,7 @@ ret_abd_prob(Env,BDD,P,Exp), create_dot_string(Env,BDD,Dot), end(Env), - from_assign_to_exp(Exp,M,Delta), + maplist(from_assign_to_exp(M),Exp,Delta), findall([V,R,S],M:v(R,S,V),LV), findall([V,R,S],M:av(R,S,V),LAV). @@ -596,15 +601,21 @@ get_abd_p(M:Goal,M:Evidence,Env,P,Exp):- + % get_node_no_rec(M:Evidence,Env,OutIC), get_cond_node(M:Goal,M:Evidence,Env,Out,_), + % get_node(M:Evidence,Env,OutIC), Out=(_,BDD), + % OutIC = (_,BDDIC), ret_abd_prob(Env,BDD,P,Exp). get_cond_p(M:Goal,M:Evidence,Env,P):- get_cond_node(M:Goal,M:Evidence,Env,BDDGE,BDDE), ret_probc(Env,BDDE,PE), ret_probc(Env,BDDGE,PGE), - P is PGE/PE. + ( PE =:= 0 -> + writeln("Undefined: probability of evidence 0.") ; + P is PGE/PE + ). get_node(M:Goal,Env,BDD):- @@ -620,6 +631,18 @@ zeroc(Env,BDD) ). +get_node_no_rec(M:Goal,Env,BDD):- %with DB=false + retractall(M:v(_,_,_)), + retractall(M:v(_,_,_)), + retractall(M:av(_,_,_)), + add_bdd_arg(Goal,Env,BDD,M,Goal1), + (M:Goal1*-> + true + ; + zeroc(Env,BDD) + % format("-------------------------Failed goal: ~w ~n",[M:Goal]) + ). + get_node(M:Goal,Env,BDD):- %with DB=false retractall(M:v(_,_,_)), retractall(M:av(_,_,_)), @@ -863,12 +886,12 @@ generate_rules_fact_vars([],_Env,_R,_Probs,_N,[],_Module). generate_rules_fact_vars([Head:_P1,'':_P2],Env,R,Probs,N,[Clause],Module):-!, - extract_vars_list([Head],[],VC), + term_variables([Head],VC), add_bdd_arg(Head,Env,BDD,Module,Head1), Clause=(Head1:-(get_var_n(Module,Env,R,VC,Probs,V),equalityc(Env,V,N,BDD))). generate_rules_fact_vars([Head:_P|T],Env,R,Probs,N,[Clause|Clauses],Module):- - extract_vars_list([Head],[],VC), + term_variables([Head],VC), add_bdd_arg(Head,Env,BDD,Module,Head1), Clause=(Head1:-(get_var_n(Module,Env,R,VC,Probs,V),equalityc(Env,V,N,BDD))), N1 is N+1, @@ -932,7 +955,7 @@ process_body(T,BDD,BDD1,Vars,Vars1,Rest,Env,Module). process_body([\+ H|T],BDD,BDD1,Vars,[BDDH,BDDN,BDD2|Vars1], -[(H1,bdd_notc(Env,BDDH,BDDN)), +[H1,bdd_notc(Env,BDDH,BDDN), andc(Env,BDD,BDDN,BDD2)|Rest],Env,Module):-!, add_bdd_arg(H,Env,BDDH,Module,H1), process_body(T,BDD2,BDD1,Vars,Vars1,Rest,Env,Module). @@ -965,7 +988,7 @@ process_body_db(T,BDD,BDD1,DB,Vars,Vars1,Rest,Env,Module). process_body_db([\+ H|T],BDD,BDD1,DB,Vars,[BDDH,BDDN,BDD2|Vars1], -[(H1,bdd_notc(Env,BDDH,BDDN)), +[H1,bdd_notc(Env,BDDH,BDDN), andc(Env,BDD,BDDN,BDD2)|Rest],Env,Module):-!, add_bdd_arg_db(H,Env,BDDH,DB,Module,H1), process_body_db(T,BDD2,BDD1,DB,Vars,Vars1,Rest,Env,Module). @@ -988,9 +1011,14 @@ process_body_db(T,BDD2,BDD1,DB,Vars,Vars1,Rest,Env,Module). -process_head(HeadList, GroundHeadList) :- +process_head(HeadList, GroundHeadList1) :- ground_prob(HeadList), !, - process_head_ground(HeadList, 0.0, GroundHeadList). + process_head_ground(HeadList, 0.0, GroundHeadList), + ( GroundHeadList = [V:P] -> + P1 is 1.0 - P, + GroundHeadList1 = [V:P,'':P1] ; + GroundHeadList1 = GroundHeadList + ). process_head(HeadList0, HeadList):- get_probs(HeadList0,PL), @@ -1082,38 +1110,6 @@ setting_pita(M:P,V):- M:local_pita_setting(P,V). -extract_vars_list(L,[],V):- - rb_empty(T), - extract_vars_tree(L,T,T1), - rb_keys(T1,V). - -extract_vars(Term,V):- - rb_empty(T), - extract_vars_term(Term,T,T1), - rb_keys(T1,V). - -extract_vars_term(Variable, Var0, Var1) :- - var(Variable), !, - (rb_lookup(Variable, Var0,_) -> - Var1 = Var0 - ; - rb_insert(Var0,Variable,1,Var1) - ). - -extract_vars_term(Term, Var0, Var1) :- - Term=..[_F|Args], - % format('Term: ~w - Args: ~w ~n',[Term,Args]), - extract_vars_tree(Args, Var0, Var1). - - - -extract_vars_tree([], Var, Var). - -extract_vars_tree([Term|Tail], Var0, Var1) :- - extract_vars_term(Term, Var0, Var), - extract_vars_tree(Tail, Var, Var1). - - delete_equal([],_,[]). delete_equal([H|T],E,T):- @@ -1168,27 +1164,37 @@ tab_dir(_M,'':_,[],[]):-!. -tab_dir(M,H:P,[],[H:P]):- - M:tabled(H),!. - % tab dir for decision variables % merge with the previous one? % the predicates are equal except % (?)::H and H:P -tab_dir(M,HT,[],[H]):- - (HT = ?::H ; HT = (?)::H), +tab_dir(M,D::H,[],[H]):- + (D == ? ; D == (?)), M:tabled(H),!. % tab dir for decision variables % merge with the previous one? % the predicates are equal except % (?)::H and '$util'(A,B) tab_dir(M,H,[],[H]):- - M:tabled(H),!, H=..[F|_], - F = utility. + F = utility, + M:tabled(H),!. +tab_dir(M,H:P,[],[H:P]):- + M:tabled(H),!. + +tab_dir(M,P::H,[],[H:P]):- + P \== ?, + M:tabled(H),!. -tab_dir(M,H:P,[(:- table HT)],[H1:P]):- + + +% tab dir for decision variables +% merge with the previous one? +% the predicates are equal +% except variable n 2 and 4. +tab_dir(M,P::H,[(:- table HT)],[H1]):- + (P== ?;P == (?)),!, functor(H,F,A0), functor(PT,F,A0), PT=..[F|Args0], @@ -1205,12 +1211,13 @@ zero_clause(M,F/A0,LZ), assert(M:zero_clauses(LZ)). -% tab dir for decision variables +% tab dir for utility variables % merge with the previous one? % the predicates are equal % except variable n 2 and 4. -tab_dir(M,HT1,[(:- table HT)],[H1]):- - (HT1 = ?::H ; HT1 = (?)::H), +tab_dir(M,H,[(:- table HT)],[H1]):- + H=..[F|_], + F = utility,!, functor(H,F,A0), functor(PT,F,A0), PT=..[F|Args0], @@ -1227,13 +1234,9 @@ zero_clause(M,F/A0,LZ), assert(M:zero_clauses(LZ)). -% tab dir for utility variables -% merge with the previous one? -% the predicates are equal -% except variable n 2 and 4. -tab_dir(M,H,[(:- table HT)],[H1]):- - H=..[F|_], - F = utility, + +tab_dir(M,Head,[(:- table HT)],[H1:P]):- + (Head=H:P;Head=P::H),!, functor(H,F,A0), functor(PT,F,A0), PT=..[F|Args0], @@ -1250,6 +1253,7 @@ zero_clause(M,F/A0,LZ), assert(M:zero_clauses(LZ)). + pita_expansion(begin_of_file,_):- !, fail. @@ -1316,7 +1320,7 @@ append([onec(Env,BDD)],BodyList2,BodyList3), list2and(BodyList3,Body2), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs),%***test single_vars (M:local_pita_setting(single_var,true)-> @@ -1345,7 +1349,7 @@ ; Clauses=[Clauses0] ), - extract_vars(Clause,VC), + term_variables(Clause,VC), list2or(HeadListOr, Head), process_head(HeadListOr, HeadList). @@ -1359,7 +1363,7 @@ H=Head, Probs=[1.0,1.0] ), - extract_vars_list([H],[],VC), + term_variables([H],VC), get_next_rule_number(M,R), add_bdd_arg(H,Env,BDD,M,Head1), %***test single_var (M:local_pita_setting(single_var,true)-> @@ -1383,7 +1387,7 @@ append([onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append([Head],BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), to_table(M,[Head],TabDir,HeadList1), HeadList1 = [H1], @@ -1398,7 +1402,7 @@ M:pita_on, (Head \= ((pita_expansion(_,_)) :- _ )), (Head = ((?) :: H) ; Head = decision(H)), ground(H), !, - extract_vars_list([Head],_,VC), % VC is [] so maybe avoid the computation + term_variables([Head],VC), % VC is [] so maybe avoid the computation get_next_rule_number(M,R), to_table(M,[Head],TabDir,HeadList1), HeadList1 = [H1], @@ -1412,13 +1416,15 @@ pita_input_mod(M), M:pita_on, (Head \= ((pita_expansion(_,_)) :- _ )), - (Head = (H => U) ; Head = utility(H,U)), ground(H), number(U), !, + (Head = (H => U) ; Head = utility(H,U)), + ( ground(H) -> true ; throw(error("Expected ground decision fact in utility/2"))), + ( number(U) -> true ; throw(error("Expected a number for utility in utility/2"))), !, list2and(BodyList, Body), process_body(BodyList,BDD,BDDAnd,[],_Vars,BodyList1,Env,M), append([onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append([Head],BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), to_table(M,[Head],TabDir,HeadList1), % <---------------------- if HEAD = H => U does NOT WORKS HeadList1 = [H1], @@ -1432,7 +1438,9 @@ pita_input_mod(M), M:pita_on, (Head \= ((pita_expansion(_,_)) :- _ )), - (Head = (H => U) ; Head = utility(H,U)), ground(H), number(U), !. + (Head = (H => U) ; Head = utility(H,U)), + ( ground(H) -> true ; throw(error("Expected ground decision fact in utility/2"))), + ( number(U) -> true ; throw(error("Expected a number for utility in utility/2"))), !. pita_expansion(Head:-Body,[rule_by_num(R,HeadList,BodyList,VC1)|Clauses]) :- prolog_load_context(module, M),pita_input_mod(M),M:pita_on, @@ -1448,7 +1456,7 @@ ), length(D0,Len), Prob is 1.0/Len, - extract_vars_list([H],[],VH), + term_variables([H],VH), delete_equal(VH,Var,VH1), maplist(gen_head(H,Prob,VH1,Var),D0,HeadList), get_next_rule_number(M,R), @@ -1458,7 +1466,7 @@ append([onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), (M:local_pita_setting(single_var,true)-> VC1 = [] ; @@ -1481,7 +1489,7 @@ ; true ), - extract_vars_list([H],[],VH), + term_variables([H],VH), delete_equal(VH,Var,VH1), maplist(gen_head_disc(H,VH1,Var),D,HeadList), get_next_rule_number(M,R), @@ -1491,7 +1499,7 @@ append([onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), (M:local_pita_setting(single_var,true)-> VC1 = [] ; @@ -1514,7 +1522,7 @@ append([onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_pita_setting(single_var,true)-> @@ -1541,7 +1549,7 @@ append([onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_pita_setting(single_var,true)-> @@ -1605,7 +1613,7 @@ append([onec(Env,BDD)],BodyList2,BodyList3), list2and(BodyList3,Body2), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs),%***test single_var (M:local_pita_setting(single_var,true)-> @@ -1629,7 +1637,7 @@ append([onec(Env,BDD)],BodyList2,BodyList3), list2and(BodyList3,Body2), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs),%***test single_vars (M:local_pita_setting(single_var,true)-> @@ -1683,7 +1691,7 @@ Head=(_;_), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_pita_setting(single_var,true)-> @@ -1701,7 +1709,7 @@ Head=(_;_), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), %**** test single_var (M:local_pita_setting(single_var,true)-> @@ -1727,12 +1735,12 @@ ), length(D0,Len), Prob is 1.0/Len, - extract_vars_list([H],[],VH), + term_variables([H],VH), delete_equal(VH,Var,VH1), maplist(gen_head(H,Prob,VH1,Var),D0,HeadList), get_next_rule_number(M,R), get_probs(HeadList,Probs), %**** test single_var - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), (M:local_pita_setting(single_var,true)-> VC1 = [] ; @@ -1755,12 +1763,12 @@ ; true ), - extract_vars_list([H],[],VH), + term_variables([H],VH), delete_equal(VH,Var,VH1), maplist(gen_head_disc(H,VH1,Var),D,HeadList), get_next_rule_number(M,R), get_probs(HeadList,Probs), %**** test single_var - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), (M:local_pita_setting(single_var,true)-> VC1 = [] ; @@ -1811,7 +1819,7 @@ (Head=(_H:_);Head=(_::_H)), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), to_table(M,HeadList,TabDir,[H1:_]), @@ -1831,7 +1839,7 @@ (Head=(_H:_);Head=(_::_H)), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), to_table(M,HeadList,TabDir,[H1:_]), diff --git a/packs_lib/cplint/prolog/pitaind.pl b/packs_lib/cplint/prolog/pitaind.pl index f3d72fbef7..9731d4c844 100644 --- a/packs_lib/cplint/prolog/pitaind.pl +++ b/packs_lib/cplint/prolog/pitaind.pl @@ -37,7 +37,6 @@ :-meta_predicate set_sw(:,+). :-use_module(library(lists)). -:-use_module(library(rbtrees)). :-use_module(library(apply)). :-use_module(library(assoc)). @@ -536,12 +535,12 @@ generate_rules_fact_vars([],__R,_Probs,_N,[],_Module). generate_rules_fact_vars([Head:_P1,'':_P2],R,Probs,N,[Clause],Module):-!, - extract_vars_list([Head],[],VC), + term_variables([Head],VC), add_bdd_arg(Head,BDD,Module,Head1), Clause=(Head1:-(get_var_n(Module,R,VC,Probs,V),equalityc(V,N,BDD))). generate_rules_fact_vars([Head:_P|T],R,Probs,N,[Clause|Clauses],Module):- - extract_vars_list([Head],[],VC), + term_variables([Head],VC), add_bdd_arg(Head,BDD,Module,Head1), Clause=(Head1:-(get_var_n(Module,R,VC,Probs,V),equalityc(V,N,BDD))), N1 is N+1, @@ -815,30 +814,6 @@ setting_pitaind(M:P,V):- M:local_pitaind_setting(P,V). -extract_vars_list(L,[],V):- - rb_new(T), - extract_vars_tree(L,T,T1), - rb_keys(T1,V). - -extract_vars_term(Variable, Var0, Var1) :- - var(Variable), !, - (rb_lookup(Variable, Var0,_) -> - Var1 = Var0 - ; - rb_insert(Var0,Variable,1,Var1) - ). - -extract_vars_term(Term, Var0, Var1) :- - Term=..[_F|Args], - extract_vars_tree(Args, Var0, Var1). - - - -extract_vars_tree([], Var, Var). - -extract_vars_tree([Term|Tail], Var0, Var1) :- - extract_vars_term(Term, Var0, Var), - extract_vars_tree(Tail, Var, Var1). delete_equal([],_,[]). @@ -910,7 +885,7 @@ append([onec(BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_pitaind_setting(single_var,true)-> @@ -930,7 +905,7 @@ append([onec(BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_pitaind_setting(single_var,true)-> @@ -989,7 +964,7 @@ append([onec(BDD)],BodyList2,BodyList3), list2and(BodyList3,Body2), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs),%***test single_var (M:local_pitaind_setting(single_var,true)-> @@ -1010,7 +985,7 @@ append([onec(BDD)],BodyList2,BodyList3), list2and(BodyList3,Body2), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs),%***test single_vars (M:local_pitaind_setting(single_var,true)-> @@ -1056,7 +1031,7 @@ Head=(_;_), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), -extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_pitaind_setting(single_var,true)-> @@ -1071,7 +1046,7 @@ Head=(_;_), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), %**** test single_var (M:local_pitaind_setting(single_var,true)-> @@ -1154,7 +1129,7 @@ (Head=(H:_);Head=(_::H)), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), add_bdd_arg_db(H,BDD,_DB,M,Head1), @@ -1171,7 +1146,7 @@ (Head=(H:_);Head=(_::H)), !, list2or(HeadListOr, Head), process_head(HeadListOr, HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), add_bdd_arg(H,BDD,M,Head1),%***test single_var diff --git a/packs_lib/cplint/prolog/slipcover.pl b/packs_lib/cplint/prolog/slipcover.pl index bf76e28dbf..18c3f63c50 100644 --- a/packs_lib/cplint/prolog/slipcover.pl +++ b/packs_lib/cplint/prolog/slipcover.pl @@ -53,7 +53,6 @@ :-use_module(library(random)). :-use_module(library(system)). :-use_module(library(terms)). -:-use_module(library(rbtrees)). :-use_module(library(apply)). :-use_module(cplint_util). :-set_prolog_flag(unknown,warning). @@ -2574,30 +2573,6 @@ setting_sc(M:P,V):- M:local_setting(P,V). -extract_vars_list(L,[],V):- - rb_new(T), - extract_vars_tree(L,T,T1), - rb_keys(T1,V). - -extract_vars_term(Variable, Var0, Var1) :- - var(Variable), !, - (rb_lookup(Variable, Var0,_) -> - Var1 = Var0 - ; - rb_insert(Var0,Variable,1,Var1) - ). - -extract_vars_term(Term, Var0, Var1) :- - Term=..[_F|Args], - extract_vars_tree(Args, Var0, Var1). - - - -extract_vars_tree([], Var, Var). - -extract_vars_tree([Term|Tail], Var0, Var1) :- - extract_vars_term(Term, Var0, Var), - extract_vars_tree(Tail, Var, Var1). difference([],_,[]). @@ -2737,7 +2712,7 @@ append([slipcover:onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_probs(HeadList,Probs), (M:local_setting(single_var,true)-> generate_rules(HeadList,Env,Body1,[],N,Probs,BDDAnd,0,Clauses,Module,M) @@ -2784,7 +2759,7 @@ append([slipcover:onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_probs(HeadList,Probs), (M:local_setting(single_var,true)-> generate_rules_db(HeadList,Env,Body1,[],RI,Probs,DB,BDDAnd,0,Clauses,Module,M) @@ -2805,7 +2780,7 @@ append([slipcover:onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_probs(HeadList,Probs), (M:local_setting(single_var,true)-> generate_rules(HeadList,Env,Body1,[],RI,Probs,BDDAnd,0,Clauses,Module,M) @@ -2906,7 +2881,7 @@ gen_cl_db_t(M,HeadList,BodyList,Clauses,rule(ng(R,Vals),HeadList1,BodyList,true,Tun)):- process_body_db(BodyList,BDD,BDDAnd, DB,[],_Vars,BodyList1,Env,Module,M), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), append([slipcover:onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), get_next_nonground_rule_number(M,R), @@ -2925,7 +2900,7 @@ ). gen_cl_db_fact_t(M,HeadList,Clauses,rule(ng(R,Vals),HeadList1,[],true,Tun)):- - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_nonground_rule_number(M,R), get_probs_t(HeadList,M,Probs,HeadList1), HeadList=[_:Ann|_], @@ -2942,7 +2917,7 @@ ). gen_cl_fact_t(M,HeadList,Clauses,rule(ng(R,Vals),HeadList1,[],true,Tun)):- - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_nonground_rule_number(M,R), get_probs_t(HeadList,M,Probs,HeadList1), HeadList=[_:Ann|_], @@ -2961,7 +2936,7 @@ gen_cl_t(M,HeadList,BodyList,Clauses,rule(ng(R,Vals),HeadList1,BodyList,true,Tun)):- process_body(BodyList,BDD,BDDAnd, [],_Vars,BodyList1,Env,Module,M), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), append([slipcover:onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), get_next_nonground_rule_number(M,R), @@ -3017,7 +2992,7 @@ append([slipcover:onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_setting(single_var,true)-> @@ -3038,7 +3013,7 @@ append([slipcover:onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_setting(single_var,true)-> @@ -3059,7 +3034,7 @@ append([slipcover:onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_setting(single_var,true)-> @@ -3079,7 +3054,7 @@ append([slipcover:onec(Env,BDD)],BodyList1,BodyList2), list2and(BodyList2,Body1), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_setting(single_var,true)-> @@ -3124,7 +3099,7 @@ append([slipcover:onec(Env,BDD)],BodyList2,BodyList3), list2and(BodyList3,Body2), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs),%***test single_var (M:local_setting(single_var,true)-> @@ -3146,7 +3121,7 @@ append([slipcover:onec(Env,BDD)],BodyList2,BodyList3), list2and(BodyList3,Body2), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs),%***test single_vars (M:local_setting(single_var,true)-> @@ -3203,7 +3178,7 @@ append([slipcover:onec(Env,BDD)],BodyList2,BodyList3), list2and(BodyList3,Body2), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs),%***test single_var (M:local_setting(single_var,true)-> @@ -3224,7 +3199,7 @@ append([slipcover:onec(Env,BDD)],BodyList2,BodyList3), list2and(BodyList3,Body2), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs),%***test single_vars (M:local_setting(single_var,true)-> @@ -3270,7 +3245,7 @@ Head=(_:p(_);_), !, list2or(HeadListOr, Head), process_head_fixed(HeadListOr,M,0,HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_setting(single_var,true)-> @@ -3286,7 +3261,7 @@ Head=(_:p(_);_), !, list2or(HeadListOr, Head), process_head_fixed(HeadListOr,M,0,HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), %**** test single_var (M:local_setting(single_var,true)-> @@ -3323,7 +3298,7 @@ Head=(_;_), !, list2or(HeadListOr, Head), process_head(HeadListOr,M,HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), (M:local_setting(single_var,true)-> @@ -3339,7 +3314,7 @@ Head=(_;_), !, list2or(HeadListOr, Head), process_head(HeadListOr,M,HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), %**** test single_var (M:local_setting(single_var,true)-> @@ -3381,7 +3356,7 @@ Head=(H:p(_)), !, list2or(HeadListOr, Head), process_head_fixed(HeadListOr,M,0,HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), add_bdd_arg_db(H,Env,BDD,_DB,_Module,Head1), @@ -3398,7 +3373,7 @@ Head=(H:p(_)), !, list2or(HeadListOr, Head), process_head_fixed(HeadListOr,M,0,HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), add_bdd_arg(H,Env,BDD,_Module,Head1),%***test single_var @@ -3436,7 +3411,7 @@ Head=(H:_), !, list2or(HeadListOr, Head), process_head(HeadListOr,M,HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), add_bdd_arg_db(H,Env,BDD,_DB,_Module,Head1), @@ -3453,7 +3428,7 @@ Head=(H:_), !, list2or(HeadListOr, Head), process_head(HeadListOr,M,HeadList), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), get_next_rule_number(M,R), get_probs(HeadList,Probs), add_bdd_arg(H,Env,BDD,_Module,Head1),%***test single_var diff --git a/packs_lib/cplint/prolog/viterbi.pl b/packs_lib/cplint/prolog/viterbi.pl index d84208fafa..5daf21486c 100644 --- a/packs_lib/cplint/prolog/viterbi.pl +++ b/packs_lib/cplint/prolog/viterbi.pl @@ -14,7 +14,6 @@ @license Artistic License 2.0 https://opensource.org/licenses/Artistic-2.0 @copyright Stefano Bragaglia and Fabrizio Riguzzi */ -:-use_module(library(rbtrees)). :- thread_local vit_input_mod/1. @@ -405,35 +404,6 @@ setting_vit(M:P,V):- M:local_viterbi_setting(P,V). -extract_vars_list(L,[],V):- - rb_new(T), - extract_vars_tree(L,T,T1), - rb_keys(T1,V). - -extract_vars(Term,V):- - rb_new(T), - extract_vars_term(Term,T,T1), - rb_keys(T1,V). - -extract_vars_term(Variable, Var0, Var1) :- - var(Variable), !, - (rb_lookup(Variable, Var0,_) -> - Var1 = Var0 - ; - rb_insert(Var0,Variable,1,Var1) - ). - -extract_vars_term(Term, Var0, Var1) :- - Term=..[_F|Args], - extract_vars_tree(Args, Var0, Var1). - - - -extract_vars_tree([], Var, Var). - -extract_vars_tree([Term|Tail], Var0, Var1) :- - extract_vars_term(Term, Var0, Var), - extract_vars_tree(Tail, Var, Var1). assert_all([],_M,[]). @@ -481,7 +451,7 @@ listN(0, LH, NH), get_next_rule_number(M,R), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), assert_rules(HeadList, M, 0, HeadList, BodyList, NH, R, VC), assertz(M:rule_by_num(R, VC, NH, HeadList, BodyList)). @@ -496,7 +466,7 @@ listN(0, LH, NH), get_next_rule_number(M,R), append(HeadList,BodyList,List), - extract_vars_list(List,[],VC), + term_variables(List,VC), assert_rules(HeadList, M,0, HeadList, BodyList, NH, R, VC), assertz(M:rule_by_num(R, VC, NH, HeadList, BodyList)). @@ -513,7 +483,7 @@ length(HeadList, LH), listN(0, LH, NH), get_next_rule_number(M,R), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), assert_rules(HeadList, M, 0, HeadList, [], NH, R, VC), assertz(M:rule_by_num(R, VC, NH, HeadList, [])). @@ -525,7 +495,7 @@ length(HeadList, LH), listN(0, LH, NH), get_next_rule_number(M,R), - extract_vars_list(HeadList,[],VC), + term_variables(HeadList,VC), assert_rules(HeadList, M, 0, HeadList, [], NH, R, VC), assertz(M:rule_by_num(R, VC, NH, HeadList, [])). diff --git a/packs_lib/phil/buildenv.sh b/packs_lib/phil/buildenv.sh index 6f75a252e4..0ae12caaf8 100644 --- a/packs_lib/phil/buildenv.sh +++ b/packs_lib/phil/buildenv.sh @@ -4,20 +4,25 @@ # # $ source buildenv.sh -PATH='/opt/logicmoo_workspace/lib/swipl/bin/x86_64-linux:/opt/logicmoo_workspace/packs_sys/instant_prolog_docs/biocham:/opt/logicmoo_workspace/packs_sys/instant_prolog_docs/biocham:/root/.nvm/versions/node/v16.6.2/bin:/opt/logicmoo_workspace/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin:/root/.dotnet/tools:/opt/logicmoo_workspace/packs_lib/sparqlprog/bin' +PATH='/opt/logicmoo_workspace/lib/swipl/bin/x86_64-linux:/opt/logicmoo_workspace/packs_sys/instant_prolog_docs/biocham:/opt/logicmoo_workspace/packs_sys/instant_prolog_docs/biocham:/root/.cargo/bin:/opt/ros/noetic/bin:/opt/miniconda3/bin:/root/.nvm/versions/node/v18.8.0/bin:/opt/logicmoo_workspace/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin:/root/.dotnet/tools:/opt/logicmoo_workspace/packs_lib/sparqlprog/bin' SWIPL='/opt/logicmoo_workspace/lib/swipl/bin/x86_64-linux/swipl' -SWIPLVERSION='80329' +SWIPL_PACK_VERSION='1' +SWIPLVERSION='80515' SWIHOME='/opt/logicmoo_workspace/lib/swipl' SWIARCH='x86_64-linux' PACKSODIR='lib/x86_64-linux' SWISOLIB='' SWILIB='-lswipl' CC='gcc' -LD='/usr/bin/cc' +LD='/usr/lib/ccache/cc' +SWIPL_INCLUDE_DIRS='/opt/logicmoo_workspace/lib/swipl/include' +SWIPL_LIBRARIES_DIR='/opt/logicmoo_workspace/lib/swipl/lib/x86_64-linux' CFLAGS='-fPIC -pthread -I"/opt/logicmoo_workspace/lib/swipl/include"' LDSOFLAGS=' -shared' SOEXT='so' +PREFIX='/opt/logicmoo_workspace' USER='root' HOME='/root' +LANG='en_US.UTF-8' -export PATH SWIPL SWIPLVERSION SWIHOME SWIARCH PACKSODIR SWISOLIB SWILIB CC LD CFLAGS LDSOFLAGS SOEXT USER HOME +export PATH SWIPL SWIPL_PACK_VERSION SWIPLVERSION SWIHOME SWIARCH PACKSODIR SWISOLIB SWILIB CC LD SWIPL_INCLUDE_DIRS SWIPL_LIBRARIES_DIR CFLAGS LDSOFLAGS SOEXT PREFIX USER HOME LANG diff --git a/packs_lib/phil/docs/_build/doctrees/environment.pickle b/packs_lib/phil/docs/_build/doctrees/environment.pickle index 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a/packs_lib/phil/docs/_build/html/.buildinfo +++ b/packs_lib/phil/docs/_build/html/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 77d7c20d44c2f308cba5d4b9ab89e752 +config: d33a20068b563b5dcb3ca40a56dbfc18 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/packs_lib/phil/docs/_build/html/_sources/index.rst.txt b/packs_lib/phil/docs/_build/html/_sources/index.rst.txt index bf5e3f558f..d149859974 100644 --- a/packs_lib/phil/docs/_build/html/_sources/index.rst.txt +++ b/packs_lib/phil/docs/_build/html/_sources/index.rst.txt @@ -13,7 +13,7 @@ phil on SWISH Manual - SWI-Prolog Version Introduction ============ -phil is a suite of programs for reasoning with hierarchical probabilistic logic programs (HPLP) :cite:`NguLamRig17-PLP-IW`. +phil is a suite of programs for reasoning with hierarchical probabilistic logic programs (HPLP) :cite:`fadja2021learning,NguLamRig17-PLP-IW`. It allows both inference and learning. phil is available only for SWI-Prolog. phil is part of cplint on SWISH web application available at ``_. @@ -72,7 +72,7 @@ Other machine learning datasets are available in pack `phil_datasets ])`. diff --git a/packs_lib/phil/docs/_build/html/_static/basic.css b/packs_lib/phil/docs/_build/html/_static/basic.css index 607b5f5582..0807176ec0 100644 --- a/packs_lib/phil/docs/_build/html/_static/basic.css +++ b/packs_lib/phil/docs/_build/html/_static/basic.css @@ -4,7 +4,7 @@ * * Sphinx stylesheet -- basic theme. * - * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -81,10 +81,26 @@ div.sphinxsidebar input { font-size: 1em; } +div.sphinxsidebar #searchbox form.search { + overflow: hidden; +} + div.sphinxsidebar #searchbox input[type="text"] { - width: 170px; + float: left; + width: 80%; + padding: 0.25em; + box-sizing: border-box; } +div.sphinxsidebar #searchbox input[type="submit"] { + float: left; + width: 20%; + border-left: none; + padding: 0.25em; + box-sizing: border-box; +} + + img { border: 0; max-width: 100%; @@ -199,6 +215,11 @@ table.modindextable td { /* -- general body styles --------------------------------------------------- */ +div.body { + min-width: 450px; + max-width: 800px; +} + div.body p, div.body dd, div.body li, div.body blockquote { -moz-hyphens: auto; -ms-hyphens: auto; @@ -410,6 +431,13 @@ table.field-list td, table.field-list th { hyphens: manual; } +/* -- hlist styles ---------------------------------------------------------- */ + +table.hlist td { + vertical-align: top; +} + + /* -- other body styles ----------------------------------------------------- */ ol.arabic { diff --git a/packs_lib/phil/docs/_build/html/_static/classic.css b/packs_lib/phil/docs/_build/html/_static/classic.css index 1f9c20bcdc..552c8ea90b 100644 --- a/packs_lib/phil/docs/_build/html/_static/classic.css +++ b/packs_lib/phil/docs/_build/html/_static/classic.css @@ -4,7 +4,7 @@ * * Sphinx stylesheet -- classic theme. * - * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ diff --git a/packs_lib/phil/docs/_build/html/_static/doctools.js b/packs_lib/phil/docs/_build/html/_static/doctools.js index 0c15c0099b..344db17ddb 100644 --- a/packs_lib/phil/docs/_build/html/_static/doctools.js +++ b/packs_lib/phil/docs/_build/html/_static/doctools.js @@ -4,7 +4,7 @@ * * Sphinx JavaScript utilities for all documentation. * - * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -70,7 +70,9 @@ jQuery.fn.highlightText = function(text, className) { if (node.nodeType === 3) { var val = node.nodeValue; var pos = val.toLowerCase().indexOf(text); - if (pos >= 0 && !jQuery(node.parentNode).hasClass(className)) { + if (pos >= 0 && + !jQuery(node.parentNode).hasClass(className) && + !jQuery(node.parentNode).hasClass("nohighlight")) { var span; var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg"); if (isInSVG) { @@ -148,7 +150,9 @@ var Documentation = { this.fixFirefoxAnchorBug(); this.highlightSearchWords(); this.initIndexTable(); - + if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) { + this.initOnKeyListeners(); + } }, /** @@ -308,4 +312,4 @@ _ = Documentation.gettext; $(document).ready(function() { Documentation.init(); -}); \ No newline at end of file +}); diff --git a/packs_lib/phil/docs/_build/html/_static/jquery.js b/packs_lib/phil/docs/_build/html/_static/jquery.js index ba171ca3fd..7e3291082f 100644 --- a/packs_lib/phil/docs/_build/html/_static/jquery.js +++ b/packs_lib/phil/docs/_build/html/_static/jquery.js @@ -1,5 +1,5 @@ /*! - * jQuery JavaScript Library v3.2.1 + * jQuery JavaScript Library v3.3.1-dfsg * https://jquery.com/ * * Includes Sizzle.js @@ -9,7 +9,7 @@ * Released under the MIT license * https://jquery.org/license * - * Date: 2017-09-03T00:14Z + * Date: 2019-04-19T06:52Z */ ( function( global, factory ) { @@ -71,16 +71,57 @@ var ObjectFunctionString = fnToString.call( Object ); var support = {}; +var isFunction = function isFunction( obj ) { + // Support: Chrome <=57, Firefox <=52 + // In some browsers, typeof returns "function" for HTML elements + // (i.e., `typeof document.createElement( "object" ) === "function"`). + // We don't want to classify *any* DOM node as a function. + return typeof obj === "function" && typeof obj.nodeType !== "number"; + }; - function DOMEval( code, doc ) { + +var isWindow = function isWindow( obj ) { + return obj != null && obj === obj.window; + }; + + + + + var preservedScriptAttributes = { + type: true, + src: true, + noModule: true + }; + + function DOMEval( code, doc, node ) { doc = doc || document; - var script = doc.createElement( "script" ); + var i, + script = doc.createElement( "script" ); script.text = code; + if ( node ) { + for ( i in preservedScriptAttributes ) { + if ( node[ i ] ) { + script[ i ] = node[ i ]; + } + } + } doc.head.appendChild( script ).parentNode.removeChild( script ); } + + +function toType( obj ) { + if ( obj == null ) { + return obj + ""; + } + + // Support: Android <=2.3 only (functionish RegExp) + return typeof obj === "object" || typeof obj === "function" ? + class2type[ toString.call( obj ) ] || "object" : + typeof obj; +} /* global Symbol */ // Defining this global in .eslintrc.json would create a danger of using the global // unguarded in another place, it seems safer to define global only for this module @@ -88,7 +129,7 @@ var support = {}; var - version = "3.2.1", + version = "3.3.1", // Define a local copy of jQuery jQuery = function( selector, context ) { @@ -100,16 +141,7 @@ var // Support: Android <=4.0 only // Make sure we trim BOM and NBSP - rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g, - - // Matches dashed string for camelizing - rmsPrefix = /^-ms-/, - rdashAlpha = /-([a-z])/g, - - // Used by jQuery.camelCase as callback to replace() - fcamelCase = function( all, letter ) { - return letter.toUpperCase(); - }; + rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g; jQuery.fn = jQuery.prototype = { @@ -209,7 +241,7 @@ jQuery.extend = jQuery.fn.extend = function() { } // Handle case when target is a string or something (possible in deep copy) - if ( typeof target !== "object" && !jQuery.isFunction( target ) ) { + if ( typeof target !== "object" && !isFunction( target ) ) { target = {}; } @@ -229,8 +261,9 @@ jQuery.extend = jQuery.fn.extend = function() { src = target[ name ]; copy = options[ name ]; + // Prevent Object.prototype pollution // Prevent never-ending loop - if ( target === copy ) { + if ( name === "__proto__" || target === copy ) { continue; } @@ -275,28 +308,6 @@ jQuery.extend( { noop: function() {}, - isFunction: function( obj ) { - return jQuery.type( obj ) === "function"; - }, - - isWindow: function( obj ) { - return obj != null && obj === obj.window; - }, - - isNumeric: function( obj ) { - - // As of jQuery 3.0, isNumeric is limited to - // strings and numbers (primitives or objects) - // that can be coerced to finite numbers (gh-2662) - var type = jQuery.type( obj ); - return ( type === "number" || type === "string" ) && - - // parseFloat NaNs numeric-cast false positives ("") - // ...but misinterprets leading-number strings, particularly hex literals ("0x...") - // subtraction forces infinities to NaN - !isNaN( obj - parseFloat( obj ) ); - }, - isPlainObject: function( obj ) { var proto, Ctor; @@ -330,29 +341,11 @@ jQuery.extend( { return true; }, - type: function( obj ) { - if ( obj == null ) { - return obj + ""; - } - - // Support: Android <=2.3 only (functionish RegExp) - return typeof obj === "object" || typeof obj === "function" ? - class2type[ toString.call( obj ) ] || "object" : - typeof obj; - }, - // Evaluates a script in a global context globalEval: function( code ) { DOMEval( code ); }, - // Convert dashed to camelCase; used by the css and data modules - // Support: IE <=9 - 11, Edge 12 - 13 - // Microsoft forgot to hump their vendor prefix (#9572) - camelCase: function( string ) { - return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); - }, - each: function( obj, callback ) { var length, i = 0; @@ -473,37 +466,6 @@ jQuery.extend( { // A global GUID counter for objects guid: 1, - // Bind a function to a context, optionally partially applying any - // arguments. - proxy: function( fn, context ) { - var tmp, args, proxy; - - if ( typeof context === "string" ) { - tmp = fn[ context ]; - context = fn; - fn = tmp; - } - - // Quick check to determine if target is callable, in the spec - // this throws a TypeError, but we will just return undefined. - if ( !jQuery.isFunction( fn ) ) { - return undefined; - } - - // Simulated bind - args = slice.call( arguments, 2 ); - proxy = function() { - return fn.apply( context || this, args.concat( slice.call( arguments ) ) ); - }; - - // Set the guid of unique handler to the same of original handler, so it can be removed - proxy.guid = fn.guid = fn.guid || jQuery.guid++; - - return proxy; - }, - - now: Date.now, - // jQuery.support is not used in Core but other projects attach their // properties to it so it needs to exist. support: support @@ -526,9 +488,9 @@ function isArrayLike( obj ) { // hasOwn isn't used here due to false negatives // regarding Nodelist length in IE var length = !!obj && "length" in obj && obj.length, - type = jQuery.type( obj ); + type = toType( obj ); - if ( type === "function" || jQuery.isWindow( obj ) ) { + if ( isFunction( obj ) || isWindow( obj ) ) { return false; } @@ -2848,11 +2810,9 @@ var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>| -var risSimple = /^.[^:#\[\.,]*$/; - // Implement the identical functionality for filter and not function winnow( elements, qualifier, not ) { - if ( jQuery.isFunction( qualifier ) ) { + if ( isFunction( qualifier ) ) { return jQuery.grep( elements, function( elem, i ) { return !!qualifier.call( elem, i, elem ) !== not; } ); @@ -2872,16 +2832,8 @@ function winnow( elements, qualifier, not ) { } ); } - // Simple selector that can be filtered directly, removing non-Elements - if ( risSimple.test( qualifier ) ) { - return jQuery.filter( qualifier, elements, not ); - } - - // Complex selector, compare the two sets, removing non-Elements - qualifier = jQuery.filter( qualifier, elements ); - return jQuery.grep( elements, function( elem ) { - return ( indexOf.call( qualifier, elem ) > -1 ) !== not && elem.nodeType === 1; - } ); + // Filtered directly for both simple and complex selectors + return jQuery.filter( qualifier, elements, not ); } jQuery.filter = function( expr, elems, not ) { @@ -3002,7 +2954,7 @@ var rootjQuery, for ( match in context ) { // Properties of context are called as methods if possible - if ( jQuery.isFunction( this[ match ] ) ) { + if ( isFunction( this[ match ] ) ) { this[ match ]( context[ match ] ); // ...and otherwise set as attributes @@ -3045,7 +2997,7 @@ var rootjQuery, // HANDLE: $(function) // Shortcut for document ready - } else if ( jQuery.isFunction( selector ) ) { + } else if ( isFunction( selector ) ) { return root.ready !== undefined ? root.ready( selector ) : @@ -3360,11 +3312,11 @@ jQuery.Callbacks = function( options ) { ( function add( args ) { jQuery.each( args, function( _, arg ) { - if ( jQuery.isFunction( arg ) ) { + if ( isFunction( arg ) ) { if ( !options.unique || !self.has( arg ) ) { list.push( arg ); } - } else if ( arg && arg.length && jQuery.type( arg ) !== "string" ) { + } else if ( arg && arg.length && toType( arg ) !== "string" ) { // Inspect recursively add( arg ); @@ -3479,11 +3431,11 @@ function adoptValue( value, resolve, reject, noValue ) { try { // Check for promise aspect first to privilege synchronous behavior - if ( value && jQuery.isFunction( ( method = value.promise ) ) ) { + if ( value && isFunction( ( method = value.promise ) ) ) { method.call( value ).done( resolve ).fail( reject ); // Other thenables - } else if ( value && jQuery.isFunction( ( method = value.then ) ) ) { + } else if ( value && isFunction( ( method = value.then ) ) ) { method.call( value, resolve, reject ); // Other non-thenables @@ -3541,14 +3493,14 @@ jQuery.extend( { jQuery.each( tuples, function( i, tuple ) { // Map tuples (progress, done, fail) to arguments (done, fail, progress) - var fn = jQuery.isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; + var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; // deferred.progress(function() { bind to newDefer or newDefer.notify }) // deferred.done(function() { bind to newDefer or newDefer.resolve }) // deferred.fail(function() { bind to newDefer or newDefer.reject }) deferred[ tuple[ 1 ] ]( function() { var returned = fn && fn.apply( this, arguments ); - if ( returned && jQuery.isFunction( returned.promise ) ) { + if ( returned && isFunction( returned.promise ) ) { returned.promise() .progress( newDefer.notify ) .done( newDefer.resolve ) @@ -3602,7 +3554,7 @@ jQuery.extend( { returned.then; // Handle a returned thenable - if ( jQuery.isFunction( then ) ) { + if ( isFunction( then ) ) { // Special processors (notify) just wait for resolution if ( special ) { @@ -3698,7 +3650,7 @@ jQuery.extend( { resolve( 0, newDefer, - jQuery.isFunction( onProgress ) ? + isFunction( onProgress ) ? onProgress : Identity, newDefer.notifyWith @@ -3710,7 +3662,7 @@ jQuery.extend( { resolve( 0, newDefer, - jQuery.isFunction( onFulfilled ) ? + isFunction( onFulfilled ) ? onFulfilled : Identity ) @@ -3721,7 +3673,7 @@ jQuery.extend( { resolve( 0, newDefer, - jQuery.isFunction( onRejected ) ? + isFunction( onRejected ) ? onRejected : Thrower ) @@ -3761,8 +3713,15 @@ jQuery.extend( { // fulfilled_callbacks.disable tuples[ 3 - i ][ 2 ].disable, + // rejected_handlers.disable + // fulfilled_handlers.disable + tuples[ 3 - i ][ 3 ].disable, + // progress_callbacks.lock - tuples[ 0 ][ 2 ].lock + tuples[ 0 ][ 2 ].lock, + + // progress_handlers.lock + tuples[ 0 ][ 3 ].lock ); } @@ -3832,7 +3791,7 @@ jQuery.extend( { // Use .then() to unwrap secondary thenables (cf. gh-3000) if ( master.state() === "pending" || - jQuery.isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { + isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { return master.then(); } @@ -3960,7 +3919,7 @@ var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { bulk = key == null; // Sets many values - if ( jQuery.type( key ) === "object" ) { + if ( toType( key ) === "object" ) { chainable = true; for ( i in key ) { access( elems, fn, i, key[ i ], true, emptyGet, raw ); @@ -3970,7 +3929,7 @@ var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { } else if ( value !== undefined ) { chainable = true; - if ( !jQuery.isFunction( value ) ) { + if ( !isFunction( value ) ) { raw = true; } @@ -4012,6 +3971,23 @@ var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { return len ? fn( elems[ 0 ], key ) : emptyGet; }; + + +// Matches dashed string for camelizing +var rmsPrefix = /^-ms-/, + rdashAlpha = /-([a-z])/g; + +// Used by camelCase as callback to replace() +function fcamelCase( all, letter ) { + return letter.toUpperCase(); +} + +// Convert dashed to camelCase; used by the css and data modules +// Support: IE <=9 - 11, Edge 12 - 15 +// Microsoft forgot to hump their vendor prefix (#9572) +function camelCase( string ) { + return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); +} var acceptData = function( owner ) { // Accepts only: @@ -4074,14 +4050,14 @@ Data.prototype = { // Handle: [ owner, key, value ] args // Always use camelCase key (gh-2257) if ( typeof data === "string" ) { - cache[ jQuery.camelCase( data ) ] = value; + cache[ camelCase( data ) ] = value; // Handle: [ owner, { properties } ] args } else { // Copy the properties one-by-one to the cache object for ( prop in data ) { - cache[ jQuery.camelCase( prop ) ] = data[ prop ]; + cache[ camelCase( prop ) ] = data[ prop ]; } } return cache; @@ -4091,7 +4067,7 @@ Data.prototype = { this.cache( owner ) : // Always use camelCase key (gh-2257) - owner[ this.expando ] && owner[ this.expando ][ jQuery.camelCase( key ) ]; + owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ]; }, access: function( owner, key, value ) { @@ -4139,9 +4115,9 @@ Data.prototype = { // If key is an array of keys... // We always set camelCase keys, so remove that. - key = key.map( jQuery.camelCase ); + key = key.map( camelCase ); } else { - key = jQuery.camelCase( key ); + key = camelCase( key ); // If a key with the spaces exists, use it. // Otherwise, create an array by matching non-whitespace @@ -4287,7 +4263,7 @@ jQuery.fn.extend( { if ( attrs[ i ] ) { name = attrs[ i ].name; if ( name.indexOf( "data-" ) === 0 ) { - name = jQuery.camelCase( name.slice( 5 ) ); + name = camelCase( name.slice( 5 ) ); dataAttr( elem, name, data[ name ] ); } } @@ -4534,8 +4510,7 @@ var swap = function( elem, options, callback, args ) { function adjustCSS( elem, prop, valueParts, tween ) { - var adjusted, - scale = 1, + var adjusted, scale, maxIterations = 20, currentValue = tween ? function() { @@ -4553,30 +4528,33 @@ function adjustCSS( elem, prop, valueParts, tween ) { if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { + // Support: Firefox <=54 + // Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144) + initial = initial / 2; + // Trust units reported by jQuery.css unit = unit || initialInUnit[ 3 ]; - // Make sure we update the tween properties later on - valueParts = valueParts || []; - // Iteratively approximate from a nonzero starting point initialInUnit = +initial || 1; - do { + while ( maxIterations-- ) { - // If previous iteration zeroed out, double until we get *something*. - // Use string for doubling so we don't accidentally see scale as unchanged below - scale = scale || ".5"; - - // Adjust and apply - initialInUnit = initialInUnit / scale; + // Evaluate and update our best guess (doubling guesses that zero out). + // Finish if the scale equals or crosses 1 (making the old*new product non-positive). jQuery.style( elem, prop, initialInUnit + unit ); + if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) { + maxIterations = 0; + } + initialInUnit = initialInUnit / scale; - // Update scale, tolerating zero or NaN from tween.cur() - // Break the loop if scale is unchanged or perfect, or if we've just had enough. - } while ( - scale !== ( scale = currentValue() / initial ) && scale !== 1 && --maxIterations - ); + } + + initialInUnit = initialInUnit * 2; + jQuery.style( elem, prop, initialInUnit + unit ); + + // Make sure we update the tween properties later on + valueParts = valueParts || []; } if ( valueParts ) { @@ -4694,7 +4672,7 @@ var rcheckableType = ( /^(?:checkbox|radio)$/i ); var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]+)/i ); -var rscriptType = ( /^$|\/(?:java|ecma)script/i ); +var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i ); @@ -4776,7 +4754,7 @@ function buildFragment( elems, context, scripts, selection, ignored ) { if ( elem || elem === 0 ) { // Add nodes directly - if ( jQuery.type( elem ) === "object" ) { + if ( toType( elem ) === "object" ) { // Support: Android <=4.0 only, PhantomJS 1 only // push.apply(_, arraylike) throws on ancient WebKit @@ -5286,7 +5264,7 @@ jQuery.event = { enumerable: true, configurable: true, - get: jQuery.isFunction( hook ) ? + get: isFunction( hook ) ? function() { if ( this.originalEvent ) { return hook( this.originalEvent ); @@ -5421,7 +5399,7 @@ jQuery.Event = function( src, props ) { } // Create a timestamp if incoming event doesn't have one - this.timeStamp = src && src.timeStamp || jQuery.now(); + this.timeStamp = src && src.timeStamp || Date.now(); // Mark it as fixed this[ jQuery.expando ] = true; @@ -5620,14 +5598,13 @@ var /* eslint-enable */ - // Support: IE <=10 - 11, Edge 12 - 13 + // Support: IE <=10 - 11, Edge 12 - 13 only // In IE/Edge using regex groups here causes severe slowdowns. // See https://connect.microsoft.com/IE/feedback/details/1736512/ rnoInnerhtml = /\s*$/g; // Prefer a tbody over its parent table for containing new rows @@ -5635,7 +5612,7 @@ function manipulationTarget( elem, content ) { if ( nodeName( elem, "table" ) && nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { - return jQuery( ">tbody", elem )[ 0 ] || elem; + return jQuery( elem ).children( "tbody" )[ 0 ] || elem; } return elem; @@ -5647,10 +5624,8 @@ function disableScript( elem ) { return elem; } function restoreScript( elem ) { - var match = rscriptTypeMasked.exec( elem.type ); - - if ( match ) { - elem.type = match[ 1 ]; + if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) { + elem.type = elem.type.slice( 5 ); } else { elem.removeAttribute( "type" ); } @@ -5716,15 +5691,15 @@ function domManip( collection, args, callback, ignored ) { l = collection.length, iNoClone = l - 1, value = args[ 0 ], - isFunction = jQuery.isFunction( value ); + valueIsFunction = isFunction( value ); // We can't cloneNode fragments that contain checked, in WebKit - if ( isFunction || + if ( valueIsFunction || ( l > 1 && typeof value === "string" && !support.checkClone && rchecked.test( value ) ) ) { return collection.each( function( index ) { var self = collection.eq( index ); - if ( isFunction ) { + if ( valueIsFunction ) { args[ 0 ] = value.call( this, index, self.html() ); } domManip( self, args, callback, ignored ); @@ -5778,14 +5753,14 @@ function domManip( collection, args, callback, ignored ) { !dataPriv.access( node, "globalEval" ) && jQuery.contains( doc, node ) ) { - if ( node.src ) { + if ( node.src && ( node.type || "" ).toLowerCase() !== "module" ) { // Optional AJAX dependency, but won't run scripts if not present if ( jQuery._evalUrl ) { jQuery._evalUrl( node.src ); } } else { - DOMEval( node.textContent.replace( rcleanScript, "" ), doc ); + DOMEval( node.textContent.replace( rcleanScript, "" ), doc, node ); } } } @@ -6065,8 +6040,6 @@ jQuery.each( { return this.pushStack( ret ); }; } ); -var rmargin = ( /^margin/ ); - var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); var getStyles = function( elem ) { @@ -6083,6 +6056,8 @@ var getStyles = function( elem ) { return view.getComputedStyle( elem ); }; +var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" ); + ( function() { @@ -6096,25 +6071,33 @@ var getStyles = function( elem ) { return; } + container.style.cssText = "position:absolute;left:-11111px;width:60px;" + + "margin-top:1px;padding:0;border:0"; div.style.cssText = - "box-sizing:border-box;" + - "position:relative;display:block;" + + "position:relative;display:block;box-sizing:border-box;overflow:scroll;" + "margin:auto;border:1px;padding:1px;" + - "top:1%;width:50%"; - div.innerHTML = ""; - documentElement.appendChild( container ); + "width:60%;top:1%"; + documentElement.appendChild( container ).appendChild( div ); var divStyle = window.getComputedStyle( div ); pixelPositionVal = divStyle.top !== "1%"; // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 - reliableMarginLeftVal = divStyle.marginLeft === "2px"; - boxSizingReliableVal = divStyle.width === "4px"; + reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12; - // Support: Android 4.0 - 4.3 only + // Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3 // Some styles come back with percentage values, even though they shouldn't - div.style.marginRight = "50%"; - pixelMarginRightVal = divStyle.marginRight === "4px"; + div.style.right = "60%"; + pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36; + + // Support: IE 9 - 11 only + // Detect misreporting of content dimensions for box-sizing:border-box elements + boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36; + + // Support: IE 9 only + // Detect overflow:scroll screwiness (gh-3699) + div.style.position = "absolute"; + scrollboxSizeVal = div.offsetWidth === 36 || "absolute"; documentElement.removeChild( container ); @@ -6123,7 +6106,12 @@ var getStyles = function( elem ) { div = null; } - var pixelPositionVal, boxSizingReliableVal, pixelMarginRightVal, reliableMarginLeftVal, + function roundPixelMeasures( measure ) { + return Math.round( parseFloat( measure ) ); + } + + var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal, + reliableMarginLeftVal, container = document.createElement( "div" ), div = document.createElement( "div" ); @@ -6138,26 +6126,26 @@ var getStyles = function( elem ) { div.cloneNode( true ).style.backgroundClip = ""; support.clearCloneStyle = div.style.backgroundClip === "content-box"; - container.style.cssText = "border:0;width:8px;height:0;top:0;left:-9999px;" + - "padding:0;margin-top:1px;position:absolute"; - container.appendChild( div ); - jQuery.extend( support, { - pixelPosition: function() { - computeStyleTests(); - return pixelPositionVal; - }, boxSizingReliable: function() { computeStyleTests(); return boxSizingReliableVal; }, - pixelMarginRight: function() { + pixelBoxStyles: function() { + computeStyleTests(); + return pixelBoxStylesVal; + }, + pixelPosition: function() { computeStyleTests(); - return pixelMarginRightVal; + return pixelPositionVal; }, reliableMarginLeft: function() { computeStyleTests(); return reliableMarginLeftVal; + }, + scrollboxSize: function() { + computeStyleTests(); + return scrollboxSizeVal; } } ); } )(); @@ -6189,7 +6177,7 @@ function curCSS( elem, name, computed ) { // but width seems to be reliably pixels. // This is against the CSSOM draft spec: // https://drafts.csswg.org/cssom/#resolved-values - if ( !support.pixelMarginRight() && rnumnonpx.test( ret ) && rmargin.test( name ) ) { + if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) { // Remember the original values width = style.width; @@ -6294,87 +6282,120 @@ function setPositiveNumber( elem, value, subtract ) { value; } -function augmentWidthOrHeight( elem, name, extra, isBorderBox, styles ) { - var i, - val = 0; - - // If we already have the right measurement, avoid augmentation - if ( extra === ( isBorderBox ? "border" : "content" ) ) { - i = 4; +function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) { + var i = dimension === "width" ? 1 : 0, + extra = 0, + delta = 0; - // Otherwise initialize for horizontal or vertical properties - } else { - i = name === "width" ? 1 : 0; + // Adjustment may not be necessary + if ( box === ( isBorderBox ? "border" : "content" ) ) { + return 0; } for ( ; i < 4; i += 2 ) { - // Both box models exclude margin, so add it if we want it - if ( extra === "margin" ) { - val += jQuery.css( elem, extra + cssExpand[ i ], true, styles ); + // Both box models exclude margin + if ( box === "margin" ) { + delta += jQuery.css( elem, box + cssExpand[ i ], true, styles ); } - if ( isBorderBox ) { + // If we get here with a content-box, we're seeking "padding" or "border" or "margin" + if ( !isBorderBox ) { - // border-box includes padding, so remove it if we want content - if ( extra === "content" ) { - val -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - } + // Add padding + delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - // At this point, extra isn't border nor margin, so remove border - if ( extra !== "margin" ) { - val -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + // For "border" or "margin", add border + if ( box !== "padding" ) { + delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + + // But still keep track of it otherwise + } else { + extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); } + + // If we get here with a border-box (content + padding + border), we're seeking "content" or + // "padding" or "margin" } else { - // At this point, extra isn't content, so add padding - val += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + // For "content", subtract padding + if ( box === "content" ) { + delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + } - // At this point, extra isn't content nor padding, so add border - if ( extra !== "padding" ) { - val += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + // For "content" or "padding", subtract border + if ( box !== "margin" ) { + delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); } } } - return val; + // Account for positive content-box scroll gutter when requested by providing computedVal + if ( !isBorderBox && computedVal >= 0 ) { + + // offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border + // Assuming integer scroll gutter, subtract the rest and round down + delta += Math.max( 0, Math.ceil( + elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - + computedVal - + delta - + extra - + 0.5 + ) ); + } + + return delta; } -function getWidthOrHeight( elem, name, extra ) { +function getWidthOrHeight( elem, dimension, extra ) { // Start with computed style - var valueIsBorderBox, - styles = getStyles( elem ), - val = curCSS( elem, name, styles ), - isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; + var styles = getStyles( elem ), + val = curCSS( elem, dimension, styles ), + isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + valueIsBorderBox = isBorderBox; - // Computed unit is not pixels. Stop here and return. + // Support: Firefox <=54 + // Return a confounding non-pixel value or feign ignorance, as appropriate. if ( rnumnonpx.test( val ) ) { - return val; + if ( !extra ) { + return val; + } + val = "auto"; } // Check for style in case a browser which returns unreliable values // for getComputedStyle silently falls back to the reliable elem.style - valueIsBorderBox = isBorderBox && - ( support.boxSizingReliable() || val === elem.style[ name ] ); + valueIsBorderBox = valueIsBorderBox && + ( support.boxSizingReliable() || val === elem.style[ dimension ] ); - // Fall back to offsetWidth/Height when value is "auto" + // Fall back to offsetWidth/offsetHeight when value is "auto" // This happens for inline elements with no explicit setting (gh-3571) - if ( val === "auto" ) { - val = elem[ "offset" + name[ 0 ].toUpperCase() + name.slice( 1 ) ]; + // Support: Android <=4.1 - 4.3 only + // Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602) + if ( val === "auto" || + !parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) { + + val = elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ]; + + // offsetWidth/offsetHeight provide border-box values + valueIsBorderBox = true; } - // Normalize "", auto, and prepare for extra + // Normalize "" and auto val = parseFloat( val ) || 0; - // Use the active box-sizing model to add/subtract irrelevant styles + // Adjust for the element's box model return ( val + - augmentWidthOrHeight( + boxModelAdjustment( elem, - name, + dimension, extra || ( isBorderBox ? "border" : "content" ), valueIsBorderBox, - styles + styles, + + // Provide the current computed size to request scroll gutter calculation (gh-3589) + val ) ) + "px"; } @@ -6415,9 +6436,7 @@ jQuery.extend( { // Add in properties whose names you wish to fix before // setting or getting the value - cssProps: { - "float": "cssFloat" - }, + cssProps: {}, // Get and set the style property on a DOM Node style: function( elem, name, value, extra ) { @@ -6429,7 +6448,7 @@ jQuery.extend( { // Make sure that we're working with the right name var ret, type, hooks, - origName = jQuery.camelCase( name ), + origName = camelCase( name ), isCustomProp = rcustomProp.test( name ), style = elem.style; @@ -6497,7 +6516,7 @@ jQuery.extend( { css: function( elem, name, extra, styles ) { var val, num, hooks, - origName = jQuery.camelCase( name ), + origName = camelCase( name ), isCustomProp = rcustomProp.test( name ); // Make sure that we're working with the right name. We don't @@ -6535,8 +6554,8 @@ jQuery.extend( { } } ); -jQuery.each( [ "height", "width" ], function( i, name ) { - jQuery.cssHooks[ name ] = { +jQuery.each( [ "height", "width" ], function( i, dimension ) { + jQuery.cssHooks[ dimension ] = { get: function( elem, computed, extra ) { if ( computed ) { @@ -6552,29 +6571,41 @@ jQuery.each( [ "height", "width" ], function( i, name ) { // in IE throws an error. ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? swap( elem, cssShow, function() { - return getWidthOrHeight( elem, name, extra ); + return getWidthOrHeight( elem, dimension, extra ); } ) : - getWidthOrHeight( elem, name, extra ); + getWidthOrHeight( elem, dimension, extra ); } }, set: function( elem, value, extra ) { var matches, - styles = extra && getStyles( elem ), - subtract = extra && augmentWidthOrHeight( + styles = getStyles( elem ), + isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + subtract = extra && boxModelAdjustment( elem, - name, + dimension, extra, - jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + isBorderBox, styles ); + // Account for unreliable border-box dimensions by comparing offset* to computed and + // faking a content-box to get border and padding (gh-3699) + if ( isBorderBox && support.scrollboxSize() === styles.position ) { + subtract -= Math.ceil( + elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - + parseFloat( styles[ dimension ] ) - + boxModelAdjustment( elem, dimension, "border", false, styles ) - + 0.5 + ); + } + // Convert to pixels if value adjustment is needed if ( subtract && ( matches = rcssNum.exec( value ) ) && ( matches[ 3 ] || "px" ) !== "px" ) { - elem.style[ name ] = value; - value = jQuery.css( elem, name ); + elem.style[ dimension ] = value; + value = jQuery.css( elem, dimension ); } return setPositiveNumber( elem, value, subtract ); @@ -6618,7 +6649,7 @@ jQuery.each( { } }; - if ( !rmargin.test( prefix ) ) { + if ( prefix !== "margin" ) { jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; } } ); @@ -6789,7 +6820,7 @@ function createFxNow() { window.setTimeout( function() { fxNow = undefined; } ); - return ( fxNow = jQuery.now() ); + return ( fxNow = Date.now() ); } // Generate parameters to create a standard animation @@ -6893,9 +6924,10 @@ function defaultPrefilter( elem, props, opts ) { // Restrict "overflow" and "display" styles during box animations if ( isBox && elem.nodeType === 1 ) { - // Support: IE <=9 - 11, Edge 12 - 13 + // Support: IE <=9 - 11, Edge 12 - 15 // Record all 3 overflow attributes because IE does not infer the shorthand - // from identically-valued overflowX and overflowY + // from identically-valued overflowX and overflowY and Edge just mirrors + // the overflowX value there. opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; // Identify a display type, preferring old show/hide data over the CSS cascade @@ -7003,7 +7035,7 @@ function propFilter( props, specialEasing ) { // camelCase, specialEasing and expand cssHook pass for ( index in props ) { - name = jQuery.camelCase( index ); + name = camelCase( index ); easing = specialEasing[ name ]; value = props[ index ]; if ( Array.isArray( value ) ) { @@ -7128,9 +7160,9 @@ function Animation( elem, properties, options ) { for ( ; index < length; index++ ) { result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); if ( result ) { - if ( jQuery.isFunction( result.stop ) ) { + if ( isFunction( result.stop ) ) { jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = - jQuery.proxy( result.stop, result ); + result.stop.bind( result ); } return result; } @@ -7138,7 +7170,7 @@ function Animation( elem, properties, options ) { jQuery.map( props, createTween, animation ); - if ( jQuery.isFunction( animation.opts.start ) ) { + if ( isFunction( animation.opts.start ) ) { animation.opts.start.call( elem, animation ); } @@ -7171,7 +7203,7 @@ jQuery.Animation = jQuery.extend( Animation, { }, tweener: function( props, callback ) { - if ( jQuery.isFunction( props ) ) { + if ( isFunction( props ) ) { callback = props; props = [ "*" ]; } else { @@ -7203,9 +7235,9 @@ jQuery.Animation = jQuery.extend( Animation, { jQuery.speed = function( speed, easing, fn ) { var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { complete: fn || !fn && easing || - jQuery.isFunction( speed ) && speed, + isFunction( speed ) && speed, duration: speed, - easing: fn && easing || easing && !jQuery.isFunction( easing ) && easing + easing: fn && easing || easing && !isFunction( easing ) && easing }; // Go to the end state if fx are off @@ -7232,7 +7264,7 @@ jQuery.speed = function( speed, easing, fn ) { opt.old = opt.complete; opt.complete = function() { - if ( jQuery.isFunction( opt.old ) ) { + if ( isFunction( opt.old ) ) { opt.old.call( this ); } @@ -7396,7 +7428,7 @@ jQuery.fx.tick = function() { i = 0, timers = jQuery.timers; - fxNow = jQuery.now(); + fxNow = Date.now(); for ( ; i < timers.length; i++ ) { timer = timers[ i ]; @@ -7749,7 +7781,7 @@ jQuery.each( [ // Strip and collapse whitespace according to HTML spec - // https://html.spec.whatwg.org/multipage/infrastructure.html#strip-and-collapse-whitespace + // https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace function stripAndCollapse( value ) { var tokens = value.match( rnothtmlwhite ) || []; return tokens.join( " " ); @@ -7760,20 +7792,30 @@ function getClass( elem ) { return elem.getAttribute && elem.getAttribute( "class" ) || ""; } +function classesToArray( value ) { + if ( Array.isArray( value ) ) { + return value; + } + if ( typeof value === "string" ) { + return value.match( rnothtmlwhite ) || []; + } + return []; +} + jQuery.fn.extend( { addClass: function( value ) { var classes, elem, cur, curValue, clazz, j, finalValue, i = 0; - if ( jQuery.isFunction( value ) ) { + if ( isFunction( value ) ) { return this.each( function( j ) { jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); } ); } - if ( typeof value === "string" && value ) { - classes = value.match( rnothtmlwhite ) || []; + classes = classesToArray( value ); + if ( classes.length ) { while ( ( elem = this[ i++ ] ) ) { curValue = getClass( elem ); cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); @@ -7802,7 +7844,7 @@ jQuery.fn.extend( { var classes, elem, cur, curValue, clazz, j, finalValue, i = 0; - if ( jQuery.isFunction( value ) ) { + if ( isFunction( value ) ) { return this.each( function( j ) { jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); } ); @@ -7812,9 +7854,9 @@ jQuery.fn.extend( { return this.attr( "class", "" ); } - if ( typeof value === "string" && value ) { - classes = value.match( rnothtmlwhite ) || []; + classes = classesToArray( value ); + if ( classes.length ) { while ( ( elem = this[ i++ ] ) ) { curValue = getClass( elem ); @@ -7844,13 +7886,14 @@ jQuery.fn.extend( { }, toggleClass: function( value, stateVal ) { - var type = typeof value; + var type = typeof value, + isValidValue = type === "string" || Array.isArray( value ); - if ( typeof stateVal === "boolean" && type === "string" ) { + if ( typeof stateVal === "boolean" && isValidValue ) { return stateVal ? this.addClass( value ) : this.removeClass( value ); } - if ( jQuery.isFunction( value ) ) { + if ( isFunction( value ) ) { return this.each( function( i ) { jQuery( this ).toggleClass( value.call( this, i, getClass( this ), stateVal ), @@ -7862,12 +7905,12 @@ jQuery.fn.extend( { return this.each( function() { var className, i, self, classNames; - if ( type === "string" ) { + if ( isValidValue ) { // Toggle individual class names i = 0; self = jQuery( this ); - classNames = value.match( rnothtmlwhite ) || []; + classNames = classesToArray( value ); while ( ( className = classNames[ i++ ] ) ) { @@ -7926,7 +7969,7 @@ var rreturn = /\r/g; jQuery.fn.extend( { val: function( value ) { - var hooks, ret, isFunction, + var hooks, ret, valueIsFunction, elem = this[ 0 ]; if ( !arguments.length ) { @@ -7955,7 +7998,7 @@ jQuery.fn.extend( { return; } - isFunction = jQuery.isFunction( value ); + valueIsFunction = isFunction( value ); return this.each( function( i ) { var val; @@ -7964,7 +8007,7 @@ jQuery.fn.extend( { return; } - if ( isFunction ) { + if ( valueIsFunction ) { val = value.call( this, i, jQuery( this ).val() ); } else { val = value; @@ -8106,18 +8149,24 @@ jQuery.each( [ "radio", "checkbox" ], function() { // Return jQuery for attributes-only inclusion -var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/; +support.focusin = "onfocusin" in window; + + +var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/, + stopPropagationCallback = function( e ) { + e.stopPropagation(); + }; jQuery.extend( jQuery.event, { trigger: function( event, data, elem, onlyHandlers ) { - var i, cur, tmp, bubbleType, ontype, handle, special, + var i, cur, tmp, bubbleType, ontype, handle, special, lastElement, eventPath = [ elem || document ], type = hasOwn.call( event, "type" ) ? event.type : event, namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; - cur = tmp = elem = elem || document; + cur = lastElement = tmp = elem = elem || document; // Don't do events on text and comment nodes if ( elem.nodeType === 3 || elem.nodeType === 8 ) { @@ -8169,7 +8218,7 @@ jQuery.extend( jQuery.event, { // Determine event propagation path in advance, per W3C events spec (#9951) // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) - if ( !onlyHandlers && !special.noBubble && !jQuery.isWindow( elem ) ) { + if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) { bubbleType = special.delegateType || type; if ( !rfocusMorph.test( bubbleType + type ) ) { @@ -8189,7 +8238,7 @@ jQuery.extend( jQuery.event, { // Fire handlers on the event path i = 0; while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { - + lastElement = cur; event.type = i > 1 ? bubbleType : special.bindType || type; @@ -8221,7 +8270,7 @@ jQuery.extend( jQuery.event, { // Call a native DOM method on the target with the same name as the event. // Don't do default actions on window, that's where global variables be (#6170) - if ( ontype && jQuery.isFunction( elem[ type ] ) && !jQuery.isWindow( elem ) ) { + if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) { // Don't re-trigger an onFOO event when we call its FOO() method tmp = elem[ ontype ]; @@ -8232,7 +8281,17 @@ jQuery.extend( jQuery.event, { // Prevent re-triggering of the same event, since we already bubbled it above jQuery.event.triggered = type; + + if ( event.isPropagationStopped() ) { + lastElement.addEventListener( type, stopPropagationCallback ); + } + elem[ type ](); + + if ( event.isPropagationStopped() ) { + lastElement.removeEventListener( type, stopPropagationCallback ); + } + jQuery.event.triggered = undefined; if ( tmp ) { @@ -8278,31 +8337,6 @@ jQuery.fn.extend( { } ); -jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " + - "mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " + - "change select submit keydown keypress keyup contextmenu" ).split( " " ), - function( i, name ) { - - // Handle event binding - jQuery.fn[ name ] = function( data, fn ) { - return arguments.length > 0 ? - this.on( name, null, data, fn ) : - this.trigger( name ); - }; -} ); - -jQuery.fn.extend( { - hover: function( fnOver, fnOut ) { - return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver ); - } -} ); - - - - -support.focusin = "onfocusin" in window; - - // Support: Firefox <=44 // Firefox doesn't have focus(in | out) events // Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 @@ -8346,7 +8380,7 @@ if ( !support.focusin ) { } var location = window.location; -var nonce = jQuery.now(); +var nonce = Date.now(); var rquery = ( /\?/ ); @@ -8404,7 +8438,7 @@ function buildParams( prefix, obj, traditional, add ) { } } ); - } else if ( !traditional && jQuery.type( obj ) === "object" ) { + } else if ( !traditional && toType( obj ) === "object" ) { // Serialize object item. for ( name in obj ) { @@ -8426,7 +8460,7 @@ jQuery.param = function( a, traditional ) { add = function( key, valueOrFunction ) { // If value is a function, invoke it and use its return value - var value = jQuery.isFunction( valueOrFunction ) ? + var value = isFunction( valueOrFunction ) ? valueOrFunction() : valueOrFunction; @@ -8544,7 +8578,7 @@ function addToPrefiltersOrTransports( structure ) { i = 0, dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; - if ( jQuery.isFunction( func ) ) { + if ( isFunction( func ) ) { // For each dataType in the dataTypeExpression while ( ( dataType = dataTypes[ i++ ] ) ) { @@ -9016,7 +9050,7 @@ jQuery.extend( { if ( s.crossDomain == null ) { urlAnchor = document.createElement( "a" ); - // Support: IE <=8 - 11, Edge 12 - 13 + // Support: IE <=8 - 11, Edge 12 - 15 // IE throws exception on accessing the href property if url is malformed, // e.g. http://example.com:80x/ try { @@ -9074,8 +9108,8 @@ jQuery.extend( { // Remember the hash so we can put it back uncached = s.url.slice( cacheURL.length ); - // If data is available, append data to url - if ( s.data ) { + // If data is available and should be processed, append data to url + if ( s.data && ( s.processData || typeof s.data === "string" ) ) { cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; // #9682: remove data so that it's not used in an eventual retry @@ -9312,7 +9346,7 @@ jQuery.each( [ "get", "post" ], function( i, method ) { jQuery[ method ] = function( url, data, callback, type ) { // Shift arguments if data argument was omitted - if ( jQuery.isFunction( data ) ) { + if ( isFunction( data ) ) { type = type || callback; callback = data; data = undefined; @@ -9350,7 +9384,7 @@ jQuery.fn.extend( { var wrap; if ( this[ 0 ] ) { - if ( jQuery.isFunction( html ) ) { + if ( isFunction( html ) ) { html = html.call( this[ 0 ] ); } @@ -9376,7 +9410,7 @@ jQuery.fn.extend( { }, wrapInner: function( html ) { - if ( jQuery.isFunction( html ) ) { + if ( isFunction( html ) ) { return this.each( function( i ) { jQuery( this ).wrapInner( html.call( this, i ) ); } ); @@ -9396,10 +9430,10 @@ jQuery.fn.extend( { }, wrap: function( html ) { - var isFunction = jQuery.isFunction( html ); + var htmlIsFunction = isFunction( html ); return this.each( function( i ) { - jQuery( this ).wrapAll( isFunction ? html.call( this, i ) : html ); + jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html ); } ); }, @@ -9491,7 +9525,8 @@ jQuery.ajaxTransport( function( options ) { return function() { if ( callback ) { callback = errorCallback = xhr.onload = - xhr.onerror = xhr.onabort = xhr.onreadystatechange = null; + xhr.onerror = xhr.onabort = xhr.ontimeout = + xhr.onreadystatechange = null; if ( type === "abort" ) { xhr.abort(); @@ -9531,7 +9566,7 @@ jQuery.ajaxTransport( function( options ) { // Listen to events xhr.onload = callback(); - errorCallback = xhr.onerror = callback( "error" ); + errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" ); // Support: IE 9 only // Use onreadystatechange to replace onabort @@ -9685,7 +9720,7 @@ jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) { if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) { // Get callback name, remembering preexisting value associated with it - callbackName = s.jsonpCallback = jQuery.isFunction( s.jsonpCallback ) ? + callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ? s.jsonpCallback() : s.jsonpCallback; @@ -9736,7 +9771,7 @@ jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) { } // Call if it was a function and we have a response - if ( responseContainer && jQuery.isFunction( overwritten ) ) { + if ( responseContainer && isFunction( overwritten ) ) { overwritten( responseContainer[ 0 ] ); } @@ -9828,7 +9863,7 @@ jQuery.fn.load = function( url, params, callback ) { } // If it's a function - if ( jQuery.isFunction( params ) ) { + if ( isFunction( params ) ) { // We assume that it's the callback callback = params; @@ -9936,7 +9971,7 @@ jQuery.offset = { curLeft = parseFloat( curCSSLeft ) || 0; } - if ( jQuery.isFunction( options ) ) { + if ( isFunction( options ) ) { // Use jQuery.extend here to allow modification of coordinates argument (gh-1848) options = options.call( elem, i, jQuery.extend( {}, curOffset ) ); @@ -9959,6 +9994,8 @@ jQuery.offset = { }; jQuery.fn.extend( { + + // offset() relates an element's border box to the document origin offset: function( options ) { // Preserve chaining for setter @@ -9970,7 +10007,7 @@ jQuery.fn.extend( { } ); } - var doc, docElem, rect, win, + var rect, win, elem = this[ 0 ]; if ( !elem ) { @@ -9985,50 +10022,52 @@ jQuery.fn.extend( { return { top: 0, left: 0 }; } + // Get document-relative position by adding viewport scroll to viewport-relative gBCR rect = elem.getBoundingClientRect(); - - doc = elem.ownerDocument; - docElem = doc.documentElement; - win = doc.defaultView; - + win = elem.ownerDocument.defaultView; return { - top: rect.top + win.pageYOffset - docElem.clientTop, - left: rect.left + win.pageXOffset - docElem.clientLeft + top: rect.top + win.pageYOffset, + left: rect.left + win.pageXOffset }; }, + // position() relates an element's margin box to its offset parent's padding box + // This corresponds to the behavior of CSS absolute positioning position: function() { if ( !this[ 0 ] ) { return; } - var offsetParent, offset, + var offsetParent, offset, doc, elem = this[ 0 ], parentOffset = { top: 0, left: 0 }; - // Fixed elements are offset from window (parentOffset = {top:0, left: 0}, - // because it is its only offset parent + // position:fixed elements are offset from the viewport, which itself always has zero offset if ( jQuery.css( elem, "position" ) === "fixed" ) { - // Assume getBoundingClientRect is there when computed position is fixed + // Assume position:fixed implies availability of getBoundingClientRect offset = elem.getBoundingClientRect(); } else { + offset = this.offset(); - // Get *real* offsetParent - offsetParent = this.offsetParent(); + // Account for the *real* offset parent, which can be the document or its root element + // when a statically positioned element is identified + doc = elem.ownerDocument; + offsetParent = elem.offsetParent || doc.documentElement; + while ( offsetParent && + ( offsetParent === doc.body || offsetParent === doc.documentElement ) && + jQuery.css( offsetParent, "position" ) === "static" ) { - // Get correct offsets - offset = this.offset(); - if ( !nodeName( offsetParent[ 0 ], "html" ) ) { - parentOffset = offsetParent.offset(); + offsetParent = offsetParent.parentNode; } + if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) { - // Add offsetParent borders - parentOffset = { - top: parentOffset.top + jQuery.css( offsetParent[ 0 ], "borderTopWidth", true ), - left: parentOffset.left + jQuery.css( offsetParent[ 0 ], "borderLeftWidth", true ) - }; + // Incorporate borders into its offset, since they are outside its content origin + parentOffset = jQuery( offsetParent ).offset(); + parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true ); + parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true ); + } } // Subtract parent offsets and element margins @@ -10070,7 +10109,7 @@ jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( // Coalesce documents and windows var win; - if ( jQuery.isWindow( elem ) ) { + if ( isWindow( elem ) ) { win = elem; } else if ( elem.nodeType === 9 ) { win = elem.defaultView; @@ -10128,7 +10167,7 @@ jQuery.each( { Height: "height", Width: "width" }, function( name, type ) { return access( this, function( elem, type, value ) { var doc; - if ( jQuery.isWindow( elem ) ) { + if ( isWindow( elem ) ) { // $( window ).outerWidth/Height return w/h including scrollbars (gh-1729) return funcName.indexOf( "outer" ) === 0 ? @@ -10162,6 +10201,28 @@ jQuery.each( { Height: "height", Width: "width" }, function( name, type ) { } ); +jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " + + "mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " + + "change select submit keydown keypress keyup contextmenu" ).split( " " ), + function( i, name ) { + + // Handle event binding + jQuery.fn[ name ] = function( data, fn ) { + return arguments.length > 0 ? + this.on( name, null, data, fn ) : + this.trigger( name ); + }; +} ); + +jQuery.fn.extend( { + hover: function( fnOver, fnOut ) { + return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver ); + } +} ); + + + + jQuery.fn.extend( { bind: function( types, data, fn ) { @@ -10183,6 +10244,37 @@ jQuery.fn.extend( { } } ); +// Bind a function to a context, optionally partially applying any +// arguments. +// jQuery.proxy is deprecated to promote standards (specifically Function#bind) +// However, it is not slated for removal any time soon +jQuery.proxy = function( fn, context ) { + var tmp, args, proxy; + + if ( typeof context === "string" ) { + tmp = fn[ context ]; + context = fn; + fn = tmp; + } + + // Quick check to determine if target is callable, in the spec + // this throws a TypeError, but we will just return undefined. + if ( !isFunction( fn ) ) { + return undefined; + } + + // Simulated bind + args = slice.call( arguments, 2 ); + proxy = function() { + return fn.apply( context || this, args.concat( slice.call( arguments ) ) ); + }; + + // Set the guid of unique handler to the same of original handler, so it can be removed + proxy.guid = fn.guid = fn.guid || jQuery.guid++; + + return proxy; +}; + jQuery.holdReady = function( hold ) { if ( hold ) { jQuery.readyWait++; @@ -10193,6 +10285,26 @@ jQuery.holdReady = function( hold ) { jQuery.isArray = Array.isArray; jQuery.parseJSON = JSON.parse; jQuery.nodeName = nodeName; +jQuery.isFunction = isFunction; +jQuery.isWindow = isWindow; +jQuery.camelCase = camelCase; +jQuery.type = toType; + +jQuery.now = Date.now; + +jQuery.isNumeric = function( obj ) { + + // As of jQuery 3.0, isNumeric is limited to + // strings and numbers (primitives or objects) + // that can be coerced to finite numbers (gh-2662) + var type = jQuery.type( obj ); + return ( type === "number" || type === "string" ) && + + // parseFloat NaNs numeric-cast false positives ("") + // ...but misinterprets leading-number strings, particularly hex literals ("0x...") + // subtraction forces infinities to NaN + !isNaN( obj - parseFloat( obj ) ); +}; diff --git a/packs_lib/phil/docs/_build/html/_static/searchtools.js b/packs_lib/phil/docs/_build/html/_static/searchtools.js index 41b8336776..5ff318066d 100644 --- a/packs_lib/phil/docs/_build/html/_static/searchtools.js +++ b/packs_lib/phil/docs/_build/html/_static/searchtools.js @@ -1,331 +1,52 @@ /* - * searchtools.js_t + * searchtools.js * ~~~~~~~~~~~~~~~~ * * Sphinx JavaScript utilities for the full-text search. * - * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ - -/* Non-minified version JS is _stemmer.js if file is provided */ -/** - * Porter Stemmer - */ -var Stemmer = function() { - - var step2list = { - ational: 'ate', - tional: 'tion', - enci: 'ence', - anci: 'ance', - izer: 'ize', - bli: 'ble', - alli: 'al', - entli: 'ent', - eli: 'e', - ousli: 'ous', - ization: 'ize', - ation: 'ate', - ator: 'ate', - alism: 'al', - iveness: 'ive', - fulness: 'ful', - ousness: 'ous', - aliti: 'al', - iviti: 'ive', - biliti: 'ble', - logi: 'log' - }; - - var step3list = { - icate: 'ic', - ative: '', - alize: 'al', - iciti: 'ic', - ical: 'ic', - ful: '', - ness: '' +if (!Scorer) { + /** + * Simple result scoring code. + */ + var Scorer = { + // Implement the following function to further tweak the score for each result + // The function takes a result array [filename, title, anchor, descr, score] + // and returns the new score. + /* + score: function(result) { + return result[4]; + }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: {0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5}, // used to be unimportantResults + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + // query found in terms + term: 5 }; - - var c = "[^aeiou]"; // consonant - var v = "[aeiouy]"; // vowel - var C = c + "[^aeiouy]*"; // consonant sequence - var V = v + "[aeiou]*"; // vowel sequence - - var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0 - var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1 - var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1 - var s_v = "^(" + C + ")?" + v; // vowel in stem - - this.stemWord = function (w) { - var stem; - var suffix; - var firstch; - var origword = w; - - if (w.length < 3) - return w; - - var re; - var re2; - var re3; - var re4; - - firstch = w.substr(0,1); - if (firstch == "y") - w = firstch.toUpperCase() + w.substr(1); - - // Step 1a - re = /^(.+?)(ss|i)es$/; - re2 = /^(.+?)([^s])s$/; - - if (re.test(w)) - w = w.replace(re,"$1$2"); - else if (re2.test(w)) - w = w.replace(re2,"$1$2"); - - // Step 1b - re = /^(.+?)eed$/; - re2 = /^(.+?)(ed|ing)$/; - if (re.test(w)) { - var fp = re.exec(w); - re = new RegExp(mgr0); - if (re.test(fp[1])) { - re = /.$/; - w = w.replace(re,""); - } - } - else if (re2.test(w)) { - var fp = re2.exec(w); - stem = fp[1]; - re2 = new RegExp(s_v); - if (re2.test(stem)) { - w = stem; - re2 = /(at|bl|iz)$/; - re3 = new RegExp("([^aeiouylsz])\\1$"); - re4 = new RegExp("^" + C + v + "[^aeiouwxy]$"); - if (re2.test(w)) - w = w + "e"; - else if (re3.test(w)) { - re = /.$/; - w = w.replace(re,""); - } - else if (re4.test(w)) - w = w + "e"; - } - } - - // Step 1c - re = /^(.+?)y$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = new RegExp(s_v); - if (re.test(stem)) - w = stem + "i"; - } - - // Step 2 - re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - suffix = fp[2]; - re = new RegExp(mgr0); - if (re.test(stem)) - w = stem + step2list[suffix]; - } - - // Step 3 - re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - suffix = fp[2]; - re = new RegExp(mgr0); - if (re.test(stem)) - w = stem + step3list[suffix]; - } - - // Step 4 - re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; - re2 = /^(.+?)(s|t)(ion)$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = new RegExp(mgr1); - if (re.test(stem)) - w = stem; - } - else if (re2.test(w)) { - var fp = re2.exec(w); - stem = fp[1] + fp[2]; - re2 = new RegExp(mgr1); - if (re2.test(stem)) - w = stem; - } - - // Step 5 - re = /^(.+?)e$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = new RegExp(mgr1); - re2 = new RegExp(meq1); - re3 = new RegExp("^" + C + v + "[^aeiouwxy]$"); - if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) - w = stem; - } - re = /ll$/; - re2 = new RegExp(mgr1); - if (re.test(w) && re2.test(w)) { - re = /.$/; - w = w.replace(re,""); - } - - // and turn initial Y back to y - if (firstch == "y") - w = firstch.toLowerCase() + w.substr(1); - return w; - } } - - -/** - * Simple result scoring code. - */ -var Scorer = { - // Implement the following function to further tweak the score for each result - // The function takes a result array [filename, title, anchor, descr, score] - // and returns the new score. - /* - score: function(result) { - return result[4]; - }, - */ - - // query matches the full name of an object - objNameMatch: 11, - // or matches in the last dotted part of the object name - objPartialMatch: 6, - // Additive scores depending on the priority of the object - objPrio: {0: 15, // used to be importantResults - 1: 5, // used to be objectResults - 2: -5}, // used to be unimportantResults - // Used when the priority is not in the mapping. - objPrioDefault: 0, - - // query found in title - title: 15, - // query found in terms - term: 5 -}; - - - - - -var splitChars = (function() { - var result = {}; - var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648, - 1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702, - 2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971, - 2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345, - 3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761, - 3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823, - 4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125, - 8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695, - 11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587, - 43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141]; - var i, j, start, end; - for (i = 0; i < singles.length; i++) { - result[singles[i]] = true; - } - var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709], - [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161], - [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568], - [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807], - [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047], - [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383], - [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450], - [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547], - [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673], - [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820], - [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946], - [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023], - [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173], - [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332], - [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481], - [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718], - [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791], - [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095], - [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205], - [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687], - [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968], - [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869], - [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102], - [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271], - [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592], - [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822], - [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167], - [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959], - [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143], - [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318], - [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483], - [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101], - [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567], - [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292], - [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444], - [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783], - [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311], - [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511], - [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774], - [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071], - [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263], - [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519], - [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647], - [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967], - [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295], - [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274], - [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007], - [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381], - [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]]; - for (i = 0; i < ranges.length; i++) { - start = ranges[i][0]; - end = ranges[i][1]; - for (j = start; j <= end; j++) { - result[j] = true; - } - } - return result; -})(); - -function splitQuery(query) { - var result = []; - var start = -1; - for (var i = 0; i < query.length; i++) { - if (splitChars[query.charCodeAt(i)]) { - if (start !== -1) { - result.push(query.slice(start, i)); - start = -1; - } - } else if (start === -1) { - start = i; - } - } - if (start !== -1) { - result.push(query.slice(start)); - } - return result; +if (!splitQuery) { + function splitQuery(query) { + return query.split(/\s+/); + } } - - - /** * Search Module */ @@ -417,7 +138,6 @@ var Search = { */ query : function(query) { var i; - var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"]; // stem the searchterms and add them to the correct list var stemmer = new Stemmer(); @@ -758,4 +478,4 @@ var Search = { $(document).ready(function() { Search.init(); -}); \ No newline at end of file +}); diff --git a/packs_lib/phil/docs/_build/html/_static/sidebar.js b/packs_lib/phil/docs/_build/html/_static/sidebar.js index dfbfb05cdc..686ca396d1 100644 --- a/packs_lib/phil/docs/_build/html/_static/sidebar.js +++ b/packs_lib/phil/docs/_build/html/_static/sidebar.js @@ -16,7 +16,7 @@ * Once the browser is closed the cookie is deleted and the position * reset to the default (expanded). * - * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ diff --git a/packs_lib/phil/docs/_build/html/_static/underscore.js b/packs_lib/phil/docs/_build/html/_static/underscore.js index b29332f945..709ae8e30b 100644 --- a/packs_lib/phil/docs/_build/html/_static/underscore.js +++ b/packs_lib/phil/docs/_build/html/_static/underscore.js @@ -1,6 +1,6 @@ -// Underscore.js 1.8.3 +// Underscore.js 1.9.1 // http://underscorejs.org -// (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors +// (c) 2009-2018 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors // Underscore may be freely distributed under the MIT license. (function() { @@ -8,29 +8,32 @@ // Baseline setup // -------------- - // Establish the root object, `window` in the browser, or `exports` on the server. - var root = this; + // Establish the root object, `window` (`self`) in the browser, `global` + // on the server, or `this` in some virtual machines. We use `self` + // instead of `window` for `WebWorker` support. + var root = typeof self == 'object' && self.self === self && self || + typeof global == 'object' && global.global === global && global || + this || + {}; // Save the previous value of the `_` variable. var previousUnderscore = root._; // Save bytes in the minified (but not gzipped) version: - var ArrayProto = Array.prototype, ObjProto = Object.prototype, FuncProto = Function.prototype; + var ArrayProto = Array.prototype, ObjProto = Object.prototype; + var SymbolProto = typeof Symbol !== 'undefined' ? Symbol.prototype : null; // Create quick reference variables for speed access to core prototypes. - var - push = ArrayProto.push, - slice = ArrayProto.slice, - toString = ObjProto.toString, - hasOwnProperty = ObjProto.hasOwnProperty; + var push = ArrayProto.push, + slice = ArrayProto.slice, + toString = ObjProto.toString, + hasOwnProperty = ObjProto.hasOwnProperty; // All **ECMAScript 5** native function implementations that we hope to use // are declared here. - var - nativeIsArray = Array.isArray, - nativeKeys = Object.keys, - nativeBind = FuncProto.bind, - nativeCreate = Object.create; + var nativeIsArray = Array.isArray, + nativeKeys = Object.keys, + nativeCreate = Object.create; // Naked function reference for surrogate-prototype-swapping. var Ctor = function(){}; @@ -43,10 +46,12 @@ }; // Export the Underscore object for **Node.js**, with - // backwards-compatibility for the old `require()` API. If we're in + // backwards-compatibility for their old module API. If we're in // the browser, add `_` as a global object. - if (typeof exports !== 'undefined') { - if (typeof module !== 'undefined' && module.exports) { + // (`nodeType` is checked to ensure that `module` + // and `exports` are not HTML elements.) + if (typeof exports != 'undefined' && !exports.nodeType) { + if (typeof module != 'undefined' && !module.nodeType && module.exports) { exports = module.exports = _; } exports._ = _; @@ -55,7 +60,7 @@ } // Current version. - _.VERSION = '1.8.3'; + _.VERSION = '1.9.1'; // Internal function that returns an efficient (for current engines) version // of the passed-in callback, to be repeatedly applied in other Underscore @@ -66,9 +71,7 @@ case 1: return function(value) { return func.call(context, value); }; - case 2: return function(value, other) { - return func.call(context, value, other); - }; + // The 2-argument case is omitted because we’re not using it. case 3: return function(value, index, collection) { return func.call(context, value, index, collection); }; @@ -81,34 +84,51 @@ }; }; - // A mostly-internal function to generate callbacks that can be applied - // to each element in a collection, returning the desired result — either - // identity, an arbitrary callback, a property matcher, or a property accessor. + var builtinIteratee; + + // An internal function to generate callbacks that can be applied to each + // element in a collection, returning the desired result — either `identity`, + // an arbitrary callback, a property matcher, or a property accessor. var cb = function(value, context, argCount) { + if (_.iteratee !== builtinIteratee) return _.iteratee(value, context); if (value == null) return _.identity; if (_.isFunction(value)) return optimizeCb(value, context, argCount); - if (_.isObject(value)) return _.matcher(value); + if (_.isObject(value) && !_.isArray(value)) return _.matcher(value); return _.property(value); }; - _.iteratee = function(value, context) { + + // External wrapper for our callback generator. Users may customize + // `_.iteratee` if they want additional predicate/iteratee shorthand styles. + // This abstraction hides the internal-only argCount argument. + _.iteratee = builtinIteratee = function(value, context) { return cb(value, context, Infinity); }; - // An internal function for creating assigner functions. - var createAssigner = function(keysFunc, undefinedOnly) { - return function(obj) { - var length = arguments.length; - if (length < 2 || obj == null) return obj; - for (var index = 1; index < length; index++) { - var source = arguments[index], - keys = keysFunc(source), - l = keys.length; - for (var i = 0; i < l; i++) { - var key = keys[i]; - if (!undefinedOnly || obj[key] === void 0) obj[key] = source[key]; - } + // Some functions take a variable number of arguments, or a few expected + // arguments at the beginning and then a variable number of values to operate + // on. This helper accumulates all remaining arguments past the function’s + // argument length (or an explicit `startIndex`), into an array that becomes + // the last argument. Similar to ES6’s "rest parameter". + var restArguments = function(func, startIndex) { + startIndex = startIndex == null ? func.length - 1 : +startIndex; + return function() { + var length = Math.max(arguments.length - startIndex, 0), + rest = Array(length), + index = 0; + for (; index < length; index++) { + rest[index] = arguments[index + startIndex]; } - return obj; + switch (startIndex) { + case 0: return func.call(this, rest); + case 1: return func.call(this, arguments[0], rest); + case 2: return func.call(this, arguments[0], arguments[1], rest); + } + var args = Array(startIndex + 1); + for (index = 0; index < startIndex; index++) { + args[index] = arguments[index]; + } + args[startIndex] = rest; + return func.apply(this, args); }; }; @@ -122,18 +142,31 @@ return result; }; - var property = function(key) { + var shallowProperty = function(key) { return function(obj) { return obj == null ? void 0 : obj[key]; }; }; + var has = function(obj, path) { + return obj != null && hasOwnProperty.call(obj, path); + } + + var deepGet = function(obj, path) { + var length = path.length; + for (var i = 0; i < length; i++) { + if (obj == null) return void 0; + obj = obj[path[i]]; + } + return length ? obj : void 0; + }; + // Helper for collection methods to determine whether a collection - // should be iterated as an array or as an object + // should be iterated as an array or as an object. // Related: http://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094 var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1; - var getLength = property('length'); + var getLength = shallowProperty('length'); var isArrayLike = function(collection) { var length = getLength(collection); return typeof length == 'number' && length >= 0 && length <= MAX_ARRAY_INDEX; @@ -175,30 +208,29 @@ }; // Create a reducing function iterating left or right. - function createReduce(dir) { - // Optimized iterator function as using arguments.length - // in the main function will deoptimize the, see #1991. - function iterator(obj, iteratee, memo, keys, index, length) { + var createReduce = function(dir) { + // Wrap code that reassigns argument variables in a separate function than + // the one that accesses `arguments.length` to avoid a perf hit. (#1991) + var reducer = function(obj, iteratee, memo, initial) { + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length, + index = dir > 0 ? 0 : length - 1; + if (!initial) { + memo = obj[keys ? keys[index] : index]; + index += dir; + } for (; index >= 0 && index < length; index += dir) { var currentKey = keys ? keys[index] : index; memo = iteratee(memo, obj[currentKey], currentKey, obj); } return memo; - } + }; return function(obj, iteratee, memo, context) { - iteratee = optimizeCb(iteratee, context, 4); - var keys = !isArrayLike(obj) && _.keys(obj), - length = (keys || obj).length, - index = dir > 0 ? 0 : length - 1; - // Determine the initial value if none is provided. - if (arguments.length < 3) { - memo = obj[keys ? keys[index] : index]; - index += dir; - } - return iterator(obj, iteratee, memo, keys, index, length); + var initial = arguments.length >= 3; + return reducer(obj, optimizeCb(iteratee, context, 4), memo, initial); }; - } + }; // **Reduce** builds up a single result from a list of values, aka `inject`, // or `foldl`. @@ -209,12 +241,8 @@ // Return the first value which passes a truth test. Aliased as `detect`. _.find = _.detect = function(obj, predicate, context) { - var key; - if (isArrayLike(obj)) { - key = _.findIndex(obj, predicate, context); - } else { - key = _.findKey(obj, predicate, context); - } + var keyFinder = isArrayLike(obj) ? _.findIndex : _.findKey; + var key = keyFinder(obj, predicate, context); if (key !== void 0 && key !== -1) return obj[key]; }; @@ -269,14 +297,26 @@ }; // Invoke a method (with arguments) on every item in a collection. - _.invoke = function(obj, method) { - var args = slice.call(arguments, 2); - var isFunc = _.isFunction(method); - return _.map(obj, function(value) { - var func = isFunc ? method : value[method]; - return func == null ? func : func.apply(value, args); + _.invoke = restArguments(function(obj, path, args) { + var contextPath, func; + if (_.isFunction(path)) { + func = path; + } else if (_.isArray(path)) { + contextPath = path.slice(0, -1); + path = path[path.length - 1]; + } + return _.map(obj, function(context) { + var method = func; + if (!method) { + if (contextPath && contextPath.length) { + context = deepGet(context, contextPath); + } + if (context == null) return void 0; + method = context[path]; + } + return method == null ? method : method.apply(context, args); }); - }; + }); // Convenience version of a common use case of `map`: fetching a property. _.pluck = function(obj, key) { @@ -299,20 +339,20 @@ _.max = function(obj, iteratee, context) { var result = -Infinity, lastComputed = -Infinity, value, computed; - if (iteratee == null && obj != null) { + if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) { obj = isArrayLike(obj) ? obj : _.values(obj); for (var i = 0, length = obj.length; i < length; i++) { value = obj[i]; - if (value > result) { + if (value != null && value > result) { result = value; } } } else { iteratee = cb(iteratee, context); - _.each(obj, function(value, index, list) { - computed = iteratee(value, index, list); + _.each(obj, function(v, index, list) { + computed = iteratee(v, index, list); if (computed > lastComputed || computed === -Infinity && result === -Infinity) { - result = value; + result = v; lastComputed = computed; } }); @@ -324,20 +364,20 @@ _.min = function(obj, iteratee, context) { var result = Infinity, lastComputed = Infinity, value, computed; - if (iteratee == null && obj != null) { + if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) { obj = isArrayLike(obj) ? obj : _.values(obj); for (var i = 0, length = obj.length; i < length; i++) { value = obj[i]; - if (value < result) { + if (value != null && value < result) { result = value; } } } else { iteratee = cb(iteratee, context); - _.each(obj, function(value, index, list) { - computed = iteratee(value, index, list); + _.each(obj, function(v, index, list) { + computed = iteratee(v, index, list); if (computed < lastComputed || computed === Infinity && result === Infinity) { - result = value; + result = v; lastComputed = computed; } }); @@ -345,21 +385,13 @@ return result; }; - // Shuffle a collection, using the modern version of the - // [Fisher-Yates shuffle](http://en.wikipedia.org/wiki/Fisher–Yates_shuffle). + // Shuffle a collection. _.shuffle = function(obj) { - var set = isArrayLike(obj) ? obj : _.values(obj); - var length = set.length; - var shuffled = Array(length); - for (var index = 0, rand; index < length; index++) { - rand = _.random(0, index); - if (rand !== index) shuffled[index] = shuffled[rand]; - shuffled[rand] = set[index]; - } - return shuffled; + return _.sample(obj, Infinity); }; - // Sample **n** random values from a collection. + // Sample **n** random values from a collection using the modern version of the + // [Fisher-Yates shuffle](http://en.wikipedia.org/wiki/Fisher–Yates_shuffle). // If **n** is not specified, returns a single random element. // The internal `guard` argument allows it to work with `map`. _.sample = function(obj, n, guard) { @@ -367,17 +399,28 @@ if (!isArrayLike(obj)) obj = _.values(obj); return obj[_.random(obj.length - 1)]; } - return _.shuffle(obj).slice(0, Math.max(0, n)); + var sample = isArrayLike(obj) ? _.clone(obj) : _.values(obj); + var length = getLength(sample); + n = Math.max(Math.min(n, length), 0); + var last = length - 1; + for (var index = 0; index < n; index++) { + var rand = _.random(index, last); + var temp = sample[index]; + sample[index] = sample[rand]; + sample[rand] = temp; + } + return sample.slice(0, n); }; // Sort the object's values by a criterion produced by an iteratee. _.sortBy = function(obj, iteratee, context) { + var index = 0; iteratee = cb(iteratee, context); - return _.pluck(_.map(obj, function(value, index, list) { + return _.pluck(_.map(obj, function(value, key, list) { return { value: value, - index: index, - criteria: iteratee(value, index, list) + index: index++, + criteria: iteratee(value, key, list) }; }).sort(function(left, right) { var a = left.criteria; @@ -391,9 +434,9 @@ }; // An internal function used for aggregate "group by" operations. - var group = function(behavior) { + var group = function(behavior, partition) { return function(obj, iteratee, context) { - var result = {}; + var result = partition ? [[], []] : {}; iteratee = cb(iteratee, context); _.each(obj, function(value, index) { var key = iteratee(value, index, obj); @@ -406,7 +449,7 @@ // Groups the object's values by a criterion. Pass either a string attribute // to group by, or a function that returns the criterion. _.groupBy = group(function(result, value, key) { - if (_.has(result, key)) result[key].push(value); else result[key] = [value]; + if (has(result, key)) result[key].push(value); else result[key] = [value]; }); // Indexes the object's values by a criterion, similar to `groupBy`, but for @@ -419,13 +462,18 @@ // either a string attribute to count by, or a function that returns the // criterion. _.countBy = group(function(result, value, key) { - if (_.has(result, key)) result[key]++; else result[key] = 1; + if (has(result, key)) result[key]++; else result[key] = 1; }); + var reStrSymbol = /[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g; // Safely create a real, live array from anything iterable. _.toArray = function(obj) { if (!obj) return []; if (_.isArray(obj)) return slice.call(obj); + if (_.isString(obj)) { + // Keep surrogate pair characters together + return obj.match(reStrSymbol); + } if (isArrayLike(obj)) return _.map(obj, _.identity); return _.values(obj); }; @@ -438,14 +486,9 @@ // Split a collection into two arrays: one whose elements all satisfy the given // predicate, and one whose elements all do not satisfy the predicate. - _.partition = function(obj, predicate, context) { - predicate = cb(predicate, context); - var pass = [], fail = []; - _.each(obj, function(value, key, obj) { - (predicate(value, key, obj) ? pass : fail).push(value); - }); - return [pass, fail]; - }; + _.partition = group(function(result, value, pass) { + result[pass ? 0 : 1].push(value); + }, true); // Array Functions // --------------- @@ -454,7 +497,7 @@ // values in the array. Aliased as `head` and `take`. The **guard** check // allows it to work with `_.map`. _.first = _.head = _.take = function(array, n, guard) { - if (array == null) return void 0; + if (array == null || array.length < 1) return n == null ? void 0 : []; if (n == null || guard) return array[0]; return _.initial(array, array.length - n); }; @@ -469,7 +512,7 @@ // Get the last element of an array. Passing **n** will return the last N // values in the array. _.last = function(array, n, guard) { - if (array == null) return void 0; + if (array == null || array.length < 1) return n == null ? void 0 : []; if (n == null || guard) return array[array.length - 1]; return _.rest(array, Math.max(0, array.length - n)); }; @@ -483,21 +526,23 @@ // Trim out all falsy values from an array. _.compact = function(array) { - return _.filter(array, _.identity); + return _.filter(array, Boolean); }; // Internal implementation of a recursive `flatten` function. - var flatten = function(input, shallow, strict, startIndex) { - var output = [], idx = 0; - for (var i = startIndex || 0, length = getLength(input); i < length; i++) { + var flatten = function(input, shallow, strict, output) { + output = output || []; + var idx = output.length; + for (var i = 0, length = getLength(input); i < length; i++) { var value = input[i]; if (isArrayLike(value) && (_.isArray(value) || _.isArguments(value))) { - //flatten current level of array or arguments object - if (!shallow) value = flatten(value, shallow, strict); - var j = 0, len = value.length; - output.length += len; - while (j < len) { - output[idx++] = value[j++]; + // Flatten current level of array or arguments object. + if (shallow) { + var j = 0, len = value.length; + while (j < len) output[idx++] = value[j++]; + } else { + flatten(value, shallow, strict, output); + idx = output.length; } } else if (!strict) { output[idx++] = value; @@ -512,12 +557,15 @@ }; // Return a version of the array that does not contain the specified value(s). - _.without = function(array) { - return _.difference(array, slice.call(arguments, 1)); - }; + _.without = restArguments(function(array, otherArrays) { + return _.difference(array, otherArrays); + }); // Produce a duplicate-free version of the array. If the array has already // been sorted, you have the option of using a faster algorithm. + // The faster algorithm will not work with an iteratee if the iteratee + // is not a one-to-one function, so providing an iteratee will disable + // the faster algorithm. // Aliased as `unique`. _.uniq = _.unique = function(array, isSorted, iteratee, context) { if (!_.isBoolean(isSorted)) { @@ -531,7 +579,7 @@ for (var i = 0, length = getLength(array); i < length; i++) { var value = array[i], computed = iteratee ? iteratee(value, i, array) : value; - if (isSorted) { + if (isSorted && !iteratee) { if (!i || seen !== computed) result.push(value); seen = computed; } else if (iteratee) { @@ -548,9 +596,9 @@ // Produce an array that contains the union: each distinct element from all of // the passed-in arrays. - _.union = function() { - return _.uniq(flatten(arguments, true, true)); - }; + _.union = restArguments(function(arrays) { + return _.uniq(flatten(arrays, true, true)); + }); // Produce an array that contains every item shared between all the // passed-in arrays. @@ -560,7 +608,8 @@ for (var i = 0, length = getLength(array); i < length; i++) { var item = array[i]; if (_.contains(result, item)) continue; - for (var j = 1; j < argsLength; j++) { + var j; + for (j = 1; j < argsLength; j++) { if (!_.contains(arguments[j], item)) break; } if (j === argsLength) result.push(item); @@ -570,21 +619,15 @@ // Take the difference between one array and a number of other arrays. // Only the elements present in just the first array will remain. - _.difference = function(array) { - var rest = flatten(arguments, true, true, 1); + _.difference = restArguments(function(array, rest) { + rest = flatten(rest, true, true); return _.filter(array, function(value){ return !_.contains(rest, value); }); - }; - - // Zip together multiple lists into a single array -- elements that share - // an index go together. - _.zip = function() { - return _.unzip(arguments); - }; + }); // Complement of _.zip. Unzip accepts an array of arrays and groups - // each array's elements on shared indices + // each array's elements on shared indices. _.unzip = function(array) { var length = array && _.max(array, getLength).length || 0; var result = Array(length); @@ -595,9 +638,13 @@ return result; }; + // Zip together multiple lists into a single array -- elements that share + // an index go together. + _.zip = restArguments(_.unzip); + // Converts lists into objects. Pass either a single array of `[key, value]` // pairs, or two parallel arrays of the same length -- one of keys, and one of - // the corresponding values. + // the corresponding values. Passing by pairs is the reverse of _.pairs. _.object = function(list, values) { var result = {}; for (var i = 0, length = getLength(list); i < length; i++) { @@ -610,8 +657,8 @@ return result; }; - // Generator function to create the findIndex and findLastIndex functions - function createPredicateIndexFinder(dir) { + // Generator function to create the findIndex and findLastIndex functions. + var createPredicateIndexFinder = function(dir) { return function(array, predicate, context) { predicate = cb(predicate, context); var length = getLength(array); @@ -621,9 +668,9 @@ } return -1; }; - } + }; - // Returns the first index on an array-like that passes a predicate test + // Returns the first index on an array-like that passes a predicate test. _.findIndex = createPredicateIndexFinder(1); _.findLastIndex = createPredicateIndexFinder(-1); @@ -640,15 +687,15 @@ return low; }; - // Generator function to create the indexOf and lastIndexOf functions - function createIndexFinder(dir, predicateFind, sortedIndex) { + // Generator function to create the indexOf and lastIndexOf functions. + var createIndexFinder = function(dir, predicateFind, sortedIndex) { return function(array, item, idx) { var i = 0, length = getLength(array); if (typeof idx == 'number') { if (dir > 0) { - i = idx >= 0 ? idx : Math.max(idx + length, i); + i = idx >= 0 ? idx : Math.max(idx + length, i); } else { - length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1; + length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1; } } else if (sortedIndex && idx && length) { idx = sortedIndex(array, item); @@ -663,7 +710,7 @@ } return -1; }; - } + }; // Return the position of the first occurrence of an item in an array, // or -1 if the item is not included in the array. @@ -680,7 +727,9 @@ stop = start || 0; start = 0; } - step = step || 1; + if (!step) { + step = stop < start ? -1 : 1; + } var length = Math.max(Math.ceil((stop - start) / step), 0); var range = Array(length); @@ -692,11 +741,23 @@ return range; }; + // Chunk a single array into multiple arrays, each containing `count` or fewer + // items. + _.chunk = function(array, count) { + if (count == null || count < 1) return []; + var result = []; + var i = 0, length = array.length; + while (i < length) { + result.push(slice.call(array, i, i += count)); + } + return result; + }; + // Function (ahem) Functions // ------------------ // Determines whether to execute a function as a constructor - // or a normal function with the provided arguments + // or a normal function with the provided arguments. var executeBound = function(sourceFunc, boundFunc, context, callingContext, args) { if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args); var self = baseCreate(sourceFunc.prototype); @@ -708,52 +769,53 @@ // Create a function bound to a given object (assigning `this`, and arguments, // optionally). Delegates to **ECMAScript 5**'s native `Function.bind` if // available. - _.bind = function(func, context) { - if (nativeBind && func.bind === nativeBind) return nativeBind.apply(func, slice.call(arguments, 1)); + _.bind = restArguments(function(func, context, args) { if (!_.isFunction(func)) throw new TypeError('Bind must be called on a function'); - var args = slice.call(arguments, 2); - var bound = function() { - return executeBound(func, bound, context, this, args.concat(slice.call(arguments))); - }; + var bound = restArguments(function(callArgs) { + return executeBound(func, bound, context, this, args.concat(callArgs)); + }); return bound; - }; + }); // Partially apply a function by creating a version that has had some of its // arguments pre-filled, without changing its dynamic `this` context. _ acts - // as a placeholder, allowing any combination of arguments to be pre-filled. - _.partial = function(func) { - var boundArgs = slice.call(arguments, 1); + // as a placeholder by default, allowing any combination of arguments to be + // pre-filled. Set `_.partial.placeholder` for a custom placeholder argument. + _.partial = restArguments(function(func, boundArgs) { + var placeholder = _.partial.placeholder; var bound = function() { var position = 0, length = boundArgs.length; var args = Array(length); for (var i = 0; i < length; i++) { - args[i] = boundArgs[i] === _ ? arguments[position++] : boundArgs[i]; + args[i] = boundArgs[i] === placeholder ? arguments[position++] : boundArgs[i]; } while (position < arguments.length) args.push(arguments[position++]); return executeBound(func, bound, this, this, args); }; return bound; - }; + }); + + _.partial.placeholder = _; // Bind a number of an object's methods to that object. Remaining arguments // are the method names to be bound. Useful for ensuring that all callbacks // defined on an object belong to it. - _.bindAll = function(obj) { - var i, length = arguments.length, key; - if (length <= 1) throw new Error('bindAll must be passed function names'); - for (i = 1; i < length; i++) { - key = arguments[i]; + _.bindAll = restArguments(function(obj, keys) { + keys = flatten(keys, false, false); + var index = keys.length; + if (index < 1) throw new Error('bindAll must be passed function names'); + while (index--) { + var key = keys[index]; obj[key] = _.bind(obj[key], obj); } - return obj; - }; + }); // Memoize an expensive function by storing its results. _.memoize = function(func, hasher) { var memoize = function(key) { var cache = memoize.cache; var address = '' + (hasher ? hasher.apply(this, arguments) : key); - if (!_.has(cache, address)) cache[address] = func.apply(this, arguments); + if (!has(cache, address)) cache[address] = func.apply(this, arguments); return cache[address]; }; memoize.cache = {}; @@ -762,12 +824,11 @@ // Delays a function for the given number of milliseconds, and then calls // it with the arguments supplied. - _.delay = function(func, wait) { - var args = slice.call(arguments, 2); - return setTimeout(function(){ + _.delay = restArguments(function(func, wait, args) { + return setTimeout(function() { return func.apply(null, args); }, wait); - }; + }); // Defers a function, scheduling it to run after the current call stack has // cleared. @@ -779,17 +840,18 @@ // but if you'd like to disable the execution on the leading edge, pass // `{leading: false}`. To disable execution on the trailing edge, ditto. _.throttle = function(func, wait, options) { - var context, args, result; - var timeout = null; + var timeout, context, args, result; var previous = 0; if (!options) options = {}; + var later = function() { previous = options.leading === false ? 0 : _.now(); timeout = null; result = func.apply(context, args); if (!timeout) context = args = null; }; - return function() { + + var throttled = function() { var now = _.now(); if (!previous && options.leading === false) previous = now; var remaining = wait - (now - previous); @@ -808,6 +870,14 @@ } return result; }; + + throttled.cancel = function() { + clearTimeout(timeout); + previous = 0; + timeout = context = args = null; + }; + + return throttled; }; // Returns a function, that, as long as it continues to be invoked, will not @@ -815,35 +885,32 @@ // N milliseconds. If `immediate` is passed, trigger the function on the // leading edge, instead of the trailing. _.debounce = function(func, wait, immediate) { - var timeout, args, context, timestamp, result; + var timeout, result; - var later = function() { - var last = _.now() - timestamp; - - if (last < wait && last >= 0) { - timeout = setTimeout(later, wait - last); - } else { - timeout = null; - if (!immediate) { - result = func.apply(context, args); - if (!timeout) context = args = null; - } - } + var later = function(context, args) { + timeout = null; + if (args) result = func.apply(context, args); }; - return function() { - context = this; - args = arguments; - timestamp = _.now(); - var callNow = immediate && !timeout; - if (!timeout) timeout = setTimeout(later, wait); - if (callNow) { - result = func.apply(context, args); - context = args = null; + var debounced = restArguments(function(args) { + if (timeout) clearTimeout(timeout); + if (immediate) { + var callNow = !timeout; + timeout = setTimeout(later, wait); + if (callNow) result = func.apply(this, args); + } else { + timeout = _.delay(later, wait, this, args); } return result; + }); + + debounced.cancel = function() { + clearTimeout(timeout); + timeout = null; }; + + return debounced; }; // Returns the first function passed as an argument to the second, @@ -898,22 +965,24 @@ // often you call it. Useful for lazy initialization. _.once = _.partial(_.before, 2); + _.restArguments = restArguments; + // Object Functions // ---------------- // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed. var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString'); var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString', - 'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString']; + 'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString']; - function collectNonEnumProps(obj, keys) { + var collectNonEnumProps = function(obj, keys) { var nonEnumIdx = nonEnumerableProps.length; var constructor = obj.constructor; - var proto = (_.isFunction(constructor) && constructor.prototype) || ObjProto; + var proto = _.isFunction(constructor) && constructor.prototype || ObjProto; // Constructor is a special case. var prop = 'constructor'; - if (_.has(obj, prop) && !_.contains(keys, prop)) keys.push(prop); + if (has(obj, prop) && !_.contains(keys, prop)) keys.push(prop); while (nonEnumIdx--) { prop = nonEnumerableProps[nonEnumIdx]; @@ -921,15 +990,15 @@ keys.push(prop); } } - } + }; // Retrieve the names of an object's own properties. - // Delegates to **ECMAScript 5**'s native `Object.keys` + // Delegates to **ECMAScript 5**'s native `Object.keys`. _.keys = function(obj) { if (!_.isObject(obj)) return []; if (nativeKeys) return nativeKeys(obj); var keys = []; - for (var key in obj) if (_.has(obj, key)) keys.push(key); + for (var key in obj) if (has(obj, key)) keys.push(key); // Ahem, IE < 9. if (hasEnumBug) collectNonEnumProps(obj, keys); return keys; @@ -956,22 +1025,22 @@ return values; }; - // Returns the results of applying the iteratee to each element of the object - // In contrast to _.map it returns an object + // Returns the results of applying the iteratee to each element of the object. + // In contrast to _.map it returns an object. _.mapObject = function(obj, iteratee, context) { iteratee = cb(iteratee, context); - var keys = _.keys(obj), - length = keys.length, - results = {}, - currentKey; - for (var index = 0; index < length; index++) { - currentKey = keys[index]; - results[currentKey] = iteratee(obj[currentKey], currentKey, obj); - } - return results; + var keys = _.keys(obj), + length = keys.length, + results = {}; + for (var index = 0; index < length; index++) { + var currentKey = keys[index]; + results[currentKey] = iteratee(obj[currentKey], currentKey, obj); + } + return results; }; // Convert an object into a list of `[key, value]` pairs. + // The opposite of _.object. _.pairs = function(obj) { var keys = _.keys(obj); var length = keys.length; @@ -993,7 +1062,7 @@ }; // Return a sorted list of the function names available on the object. - // Aliased as `methods` + // Aliased as `methods`. _.functions = _.methods = function(obj) { var names = []; for (var key in obj) { @@ -1002,14 +1071,33 @@ return names.sort(); }; + // An internal function for creating assigner functions. + var createAssigner = function(keysFunc, defaults) { + return function(obj) { + var length = arguments.length; + if (defaults) obj = Object(obj); + if (length < 2 || obj == null) return obj; + for (var index = 1; index < length; index++) { + var source = arguments[index], + keys = keysFunc(source), + l = keys.length; + for (var i = 0; i < l; i++) { + var key = keys[i]; + if (!defaults || obj[key] === void 0) obj[key] = source[key]; + } + } + return obj; + }; + }; + // Extend a given object with all the properties in passed-in object(s). _.extend = createAssigner(_.allKeys); - // Assigns a given object with all the own properties in the passed-in object(s) + // Assigns a given object with all the own properties in the passed-in object(s). // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign) _.extendOwn = _.assign = createAssigner(_.keys); - // Returns the first key on an object that passes a predicate test + // Returns the first key on an object that passes a predicate test. _.findKey = function(obj, predicate, context) { predicate = cb(predicate, context); var keys = _.keys(obj), key; @@ -1019,16 +1107,21 @@ } }; + // Internal pick helper function to determine if `obj` has key `key`. + var keyInObj = function(value, key, obj) { + return key in obj; + }; + // Return a copy of the object only containing the whitelisted properties. - _.pick = function(object, oiteratee, context) { - var result = {}, obj = object, iteratee, keys; + _.pick = restArguments(function(obj, keys) { + var result = {}, iteratee = keys[0]; if (obj == null) return result; - if (_.isFunction(oiteratee)) { + if (_.isFunction(iteratee)) { + if (keys.length > 1) iteratee = optimizeCb(iteratee, keys[1]); keys = _.allKeys(obj); - iteratee = optimizeCb(oiteratee, context); } else { - keys = flatten(arguments, false, false, 1); - iteratee = function(value, key, obj) { return key in obj; }; + iteratee = keyInObj; + keys = flatten(keys, false, false); obj = Object(obj); } for (var i = 0, length = keys.length; i < length; i++) { @@ -1037,20 +1130,22 @@ if (iteratee(value, key, obj)) result[key] = value; } return result; - }; + }); - // Return a copy of the object without the blacklisted properties. - _.omit = function(obj, iteratee, context) { + // Return a copy of the object without the blacklisted properties. + _.omit = restArguments(function(obj, keys) { + var iteratee = keys[0], context; if (_.isFunction(iteratee)) { iteratee = _.negate(iteratee); + if (keys.length > 1) context = keys[1]; } else { - var keys = _.map(flatten(arguments, false, false, 1), String); + keys = _.map(flatten(keys, false, false), String); iteratee = function(value, key) { return !_.contains(keys, key); }; } return _.pick(obj, iteratee, context); - }; + }); // Fill in a given object with default properties. _.defaults = createAssigner(_.allKeys, true); @@ -1092,12 +1187,23 @@ // Internal recursive comparison function for `isEqual`. - var eq = function(a, b, aStack, bStack) { + var eq, deepEq; + eq = function(a, b, aStack, bStack) { // Identical objects are equal. `0 === -0`, but they aren't identical. // See the [Harmony `egal` proposal](http://wiki.ecmascript.org/doku.php?id=harmony:egal). if (a === b) return a !== 0 || 1 / a === 1 / b; - // A strict comparison is necessary because `null == undefined`. - if (a == null || b == null) return a === b; + // `null` or `undefined` only equal to itself (strict comparison). + if (a == null || b == null) return false; + // `NaN`s are equivalent, but non-reflexive. + if (a !== a) return b !== b; + // Exhaust primitive checks + var type = typeof a; + if (type !== 'function' && type !== 'object' && typeof b != 'object') return false; + return deepEq(a, b, aStack, bStack); + }; + + // Internal recursive comparison function for `isEqual`. + deepEq = function(a, b, aStack, bStack) { // Unwrap any wrapped objects. if (a instanceof _) a = a._wrapped; if (b instanceof _) b = b._wrapped; @@ -1114,7 +1220,7 @@ return '' + a === '' + b; case '[object Number]': // `NaN`s are equivalent, but non-reflexive. - // Object(NaN) is equivalent to NaN + // Object(NaN) is equivalent to NaN. if (+a !== +a) return +b !== +b; // An `egal` comparison is performed for other numeric values. return +a === 0 ? 1 / +a === 1 / b : +a === +b; @@ -1124,6 +1230,8 @@ // millisecond representations. Note that invalid dates with millisecond representations // of `NaN` are not equivalent. return +a === +b; + case '[object Symbol]': + return SymbolProto.valueOf.call(a) === SymbolProto.valueOf.call(b); } var areArrays = className === '[object Array]'; @@ -1175,7 +1283,7 @@ while (length--) { // Deep compare each member key = keys[length]; - if (!(_.has(b, key) && eq(a[key], b[key], aStack, bStack))) return false; + if (!(has(b, key) && eq(a[key], b[key], aStack, bStack))) return false; } } // Remove the first object from the stack of traversed objects. @@ -1214,8 +1322,8 @@ return type === 'function' || type === 'object' && !!obj; }; - // Add some isType methods: isArguments, isFunction, isString, isNumber, isDate, isRegExp, isError. - _.each(['Arguments', 'Function', 'String', 'Number', 'Date', 'RegExp', 'Error'], function(name) { + // Add some isType methods: isArguments, isFunction, isString, isNumber, isDate, isRegExp, isError, isMap, isWeakMap, isSet, isWeakSet. + _.each(['Arguments', 'Function', 'String', 'Number', 'Date', 'RegExp', 'Error', 'Symbol', 'Map', 'WeakMap', 'Set', 'WeakSet'], function(name) { _['is' + name] = function(obj) { return toString.call(obj) === '[object ' + name + ']'; }; @@ -1225,13 +1333,14 @@ // there isn't any inspectable "Arguments" type. if (!_.isArguments(arguments)) { _.isArguments = function(obj) { - return _.has(obj, 'callee'); + return has(obj, 'callee'); }; } // Optimize `isFunction` if appropriate. Work around some typeof bugs in old v8, - // IE 11 (#1621), and in Safari 8 (#1929). - if (typeof /./ != 'function' && typeof Int8Array != 'object') { + // IE 11 (#1621), Safari 8 (#1929), and PhantomJS (#2236). + var nodelist = root.document && root.document.childNodes; + if (typeof /./ != 'function' && typeof Int8Array != 'object' && typeof nodelist != 'function') { _.isFunction = function(obj) { return typeof obj == 'function' || false; }; @@ -1239,12 +1348,12 @@ // Is a given object a finite number? _.isFinite = function(obj) { - return isFinite(obj) && !isNaN(parseFloat(obj)); + return !_.isSymbol(obj) && isFinite(obj) && !isNaN(parseFloat(obj)); }; - // Is the given value `NaN`? (NaN is the only number which does not equal itself). + // Is the given value `NaN`? _.isNaN = function(obj) { - return _.isNumber(obj) && obj !== +obj; + return _.isNumber(obj) && isNaN(obj); }; // Is a given value a boolean? @@ -1264,8 +1373,19 @@ // Shortcut function for checking if an object has a given property directly // on itself (in other words, not on a prototype). - _.has = function(obj, key) { - return obj != null && hasOwnProperty.call(obj, key); + _.has = function(obj, path) { + if (!_.isArray(path)) { + return has(obj, path); + } + var length = path.length; + for (var i = 0; i < length; i++) { + var key = path[i]; + if (obj == null || !hasOwnProperty.call(obj, key)) { + return false; + } + obj = obj[key]; + } + return !!length; }; // Utility Functions @@ -1292,12 +1412,24 @@ _.noop = function(){}; - _.property = property; + // Creates a function that, when passed an object, will traverse that object’s + // properties down the given `path`, specified as an array of keys or indexes. + _.property = function(path) { + if (!_.isArray(path)) { + return shallowProperty(path); + } + return function(obj) { + return deepGet(obj, path); + }; + }; // Generates a function for a given object that returns a given property. _.propertyOf = function(obj) { - return obj == null ? function(){} : function(key) { - return obj[key]; + if (obj == null) { + return function(){}; + } + return function(path) { + return !_.isArray(path) ? obj[path] : deepGet(obj, path); }; }; @@ -1332,7 +1464,7 @@ return new Date().getTime(); }; - // List of HTML entities for escaping. + // List of HTML entities for escaping. var escapeMap = { '&': '&', '<': '<', @@ -1348,7 +1480,7 @@ var escaper = function(match) { return map[match]; }; - // Regexes for identifying a key that needs to be escaped + // Regexes for identifying a key that needs to be escaped. var source = '(?:' + _.keys(map).join('|') + ')'; var testRegexp = RegExp(source); var replaceRegexp = RegExp(source, 'g'); @@ -1360,14 +1492,24 @@ _.escape = createEscaper(escapeMap); _.unescape = createEscaper(unescapeMap); - // If the value of the named `property` is a function then invoke it with the - // `object` as context; otherwise, return it. - _.result = function(object, property, fallback) { - var value = object == null ? void 0 : object[property]; - if (value === void 0) { - value = fallback; + // Traverses the children of `obj` along `path`. If a child is a function, it + // is invoked with its parent as context. Returns the value of the final + // child, or `fallback` if any child is undefined. + _.result = function(obj, path, fallback) { + if (!_.isArray(path)) path = [path]; + var length = path.length; + if (!length) { + return _.isFunction(fallback) ? fallback.call(obj) : fallback; + } + for (var i = 0; i < length; i++) { + var prop = obj == null ? void 0 : obj[path[i]]; + if (prop === void 0) { + prop = fallback; + i = length; // Ensure we don't continue iterating. + } + obj = _.isFunction(prop) ? prop.call(obj) : prop; } - return _.isFunction(value) ? value.call(object) : value; + return obj; }; // Generate a unique integer id (unique within the entire client session). @@ -1381,9 +1523,9 @@ // By default, Underscore uses ERB-style template delimiters, change the // following template settings to use alternative delimiters. _.templateSettings = { - evaluate : /<%([\s\S]+?)%>/g, - interpolate : /<%=([\s\S]+?)%>/g, - escape : /<%-([\s\S]+?)%>/g + evaluate: /<%([\s\S]+?)%>/g, + interpolate: /<%=([\s\S]+?)%>/g, + escape: /<%-([\s\S]+?)%>/g }; // When customizing `templateSettings`, if you don't want to define an @@ -1394,20 +1536,27 @@ // Certain characters need to be escaped so that they can be put into a // string literal. var escapes = { - "'": "'", - '\\': '\\', - '\r': 'r', - '\n': 'n', + "'": "'", + '\\': '\\', + '\r': 'r', + '\n': 'n', '\u2028': 'u2028', '\u2029': 'u2029' }; - var escaper = /\\|'|\r|\n|\u2028|\u2029/g; + var escapeRegExp = /\\|'|\r|\n|\u2028|\u2029/g; var escapeChar = function(match) { return '\\' + escapes[match]; }; + // In order to prevent third-party code injection through + // `_.templateSettings.variable`, we test it against the following regular + // expression. It is intentionally a bit more liberal than just matching valid + // identifiers, but still prevents possible loopholes through defaults or + // destructuring assignment. + var bareIdentifier = /^\s*(\w|\$)+\s*$/; + // JavaScript micro-templating, similar to John Resig's implementation. // Underscore templating handles arbitrary delimiters, preserves whitespace, // and correctly escapes quotes within interpolated code. @@ -1427,7 +1576,7 @@ var index = 0; var source = "__p+='"; text.replace(matcher, function(match, escape, interpolate, evaluate, offset) { - source += text.slice(index, offset).replace(escaper, escapeChar); + source += text.slice(index, offset).replace(escapeRegExp, escapeChar); index = offset + match.length; if (escape) { @@ -1438,20 +1587,30 @@ source += "';\n" + evaluate + "\n__p+='"; } - // Adobe VMs need the match returned to produce the correct offest. + // Adobe VMs need the match returned to produce the correct offset. return match; }); source += "';\n"; - // If a variable is not specified, place data values in local scope. - if (!settings.variable) source = 'with(obj||{}){\n' + source + '}\n'; + var argument = settings.variable; + if (argument) { + // Insure against third-party code injection. + if (!bareIdentifier.test(argument)) throw new Error( + 'variable is not a bare identifier: ' + argument + ); + } else { + // If a variable is not specified, place data values in local scope. + source = 'with(obj||{}){\n' + source + '}\n'; + argument = 'obj'; + } source = "var __t,__p='',__j=Array.prototype.join," + "print=function(){__p+=__j.call(arguments,'');};\n" + source + 'return __p;\n'; + var render; try { - var render = new Function(settings.variable || 'obj', '_', source); + render = new Function(argument, '_', source); } catch (e) { e.source = source; throw e; @@ -1462,7 +1621,6 @@ }; // Provide the compiled source as a convenience for precompilation. - var argument = settings.variable || 'obj'; template.source = 'function(' + argument + '){\n' + source + '}'; return template; @@ -1482,7 +1640,7 @@ // underscore functions. Wrapped objects may be chained. // Helper function to continue chaining intermediate results. - var result = function(instance, obj) { + var chainResult = function(instance, obj) { return instance._chain ? _(obj).chain() : obj; }; @@ -1493,9 +1651,10 @@ _.prototype[name] = function() { var args = [this._wrapped]; push.apply(args, arguments); - return result(this, func.apply(_, args)); + return chainResult(this, func.apply(_, args)); }; }); + return _; }; // Add all of the Underscore functions to the wrapper object. @@ -1508,7 +1667,7 @@ var obj = this._wrapped; method.apply(obj, arguments); if ((name === 'shift' || name === 'splice') && obj.length === 0) delete obj[0]; - return result(this, obj); + return chainResult(this, obj); }; }); @@ -1516,7 +1675,7 @@ _.each(['concat', 'join', 'slice'], function(name) { var method = ArrayProto[name]; _.prototype[name] = function() { - return result(this, method.apply(this._wrapped, arguments)); + return chainResult(this, method.apply(this._wrapped, arguments)); }; }); @@ -1530,7 +1689,7 @@ _.prototype.valueOf = _.prototype.toJSON = _.prototype.value; _.prototype.toString = function() { - return '' + this._wrapped; + return String(this._wrapped); }; // AMD registration happens at the end for compatibility with AMD loaders @@ -1540,9 +1699,9 @@ // popular enough to be bundled in a third party lib, but not be part of // an AMD load request. Those cases could generate an error when an // anonymous define() is called outside of a loader request. - if (typeof define === 'function' && define.amd) { + if (typeof define == 'function' && define.amd) { define('underscore', [], function() { return _; }); } -}.call(this)); +}()); diff --git a/packs_lib/phil/docs/_build/html/genindex.html b/packs_lib/phil/docs/_build/html/genindex.html index 58574a6118..2cddcea184 100644 --- a/packs_lib/phil/docs/_build/html/genindex.html +++ b/packs_lib/phil/docs/_build/html/genindex.html @@ -5,29 +5,22 @@ + Index — phil 1.0.0 documentation - + + - + + - - + \ No newline at end of file diff --git a/packs_lib/phil/docs/_build/html/index.html b/packs_lib/phil/docs/_build/html/index.html index ee6f5802ed..ea75d3ea28 100644 --- a/packs_lib/phil/docs/_build/html/index.html +++ b/packs_lib/phil/docs/_build/html/index.html @@ -4,29 +4,22 @@ + phil on SWISH Manual - SWI-Prolog Version — phil 1.0.0 documentation - + + - + + - - + @@ -56,7 +49,7 @@

    Introduction

    phil is distributed as a pack of SWI-Prolog. To install it, use

    -
    $ swipl
+
    $ swipl
 ?- pack_install(phil).
 
    
 
    
@@ -70,13 +63,13 @@ 
    Requirements
    $ swipl
+
    $ swipl
 ?- pack_install(auc).
 ?- pack_install(matrix).
 
    
 
    
 
    You can upgrade the pack with
    
-
    $ swipl
+
    $ swipl
 ?- pack_upgrade(phil).
 
    
 
    
@@ -84,7 +77,7 @@ 
    Requirements
 
    Example of use
    
-
    $ cd <pack>/phil/prolog/examples
+
    $ cd <pack>/phil/prolog/examples
 $ swipl
 ?- [uwcse].
 ?- inference_hplp(advisedby(harry,ben),ai,Prob).
@@ -93,7 +86,7 @@ 
    Example of use
 
    Testing the installation
    
-
    $ swipl
+
    $ swipl
 ?- [library(phil_test/test)].
 ?- test.
 
    
@@ -106,38 +99,38 @@ 
    Datasets
 
    Syntax
    
-
    phil allows the definition of discrete probability distributions. It performs inference, parameter and structure learning on Hierarchical Probabilistic Logic Programs (HPLPs) [NguembangFadjaLR17].
    
-
    HPLPs are restrictions of Logic programs with annotated disjunctions LPADs ([VV03][VVB04]). A HPLP is a set of annotated clauses whose head contain a single atom annotated with a probability. For the rest, the usual syntax of Prolog is used.
+
    phil allows the definition of discrete probability distributions. It performs inference, parameter and structure learning on Hierarchical Probabilistic Logic Programs (HPLPs), see [FRL21].
    
+
    HPLPs are restrictions of Logic programs with annotated disjunctions LPADs ([VV03][VVB04]). A HPLP is a set of annotated clauses whose head contain a single atom annotated with a probability. For the rest, the usual syntax of Prolog is used.
 A general HPLP clause has the following form:
    
-
    h:p:- BodyInput, b1,b2...,bn.
+
    h:p:- BodyInput, b1,b2...,bn.
 
    
 
    
-
    where BodyInput is a conjunction of predicates called input predicates, that are defined by certain facts and rules, and the bi are predicates non explicitly defined in the data called hidden predicates. Each hidden predicate is described by a set of clauses in a level immediately bellow. e.g b1 can be described as follows:
    
-
    b1:p1_1:- BodyInput1, b1_11,b1_12...,b1_1m.
+
    where BodyInput is a conjunction of predicates called input predicates, that are defined by certain facts and rules, and the bi are predicates non explicitly defined in the data called hidden predicates. Each hidden predicate is described by a set of clauses in a level immediately bellow. e.g b1 can be described as follows:
    
+
    b1:p1_1:- BodyInput1, b1_11,b1_12...,b1_1m.
 b1:p1_2:- BodyInput2, b1_21,b1_22...,b1_2m.
 ...
 
 b1:p1_k:- BodyInputk, b1_k1,b1_k2...,b1_km.
 
    
 
    
-
    Each b1_ij is also described by a set clauses in the layer immediately bellow. This creates an hierarchy among predicates and clauses. Programs having this structure are called hierarchical probabilistic logic programs. The predicate in the head of clauses in the first layer is called target or output predicate which is the predicate we are interested in predicting.
-The p1_i are numeric expressions representing probabilities.
-It is up to the user to ensure that their are legal, i.e. they are greater than zero and less than one. The first clause above states that if the conjunction of the input and the hidden predicates in the body is true, then the head is true is true with probability p otherwise, the head is false with probability 1-p.  Note that, hidden predicates in the body of clauses in the programs are all different.
+
    Each b1_ij is also described by a set clauses in the layer immediately bellow. This creates an hierarchy among predicates and clauses. Programs having this structure are called hierarchical probabilistic logic programs. The predicate in the head of clauses in the first layer is called target or output predicate which is the predicate we are interested in predicting.
+The p1_i are numeric expressions representing probabilities.
+It is up to the user to ensure that their are legal, i.e. they are greater than zero and less than one. The first clause above states that if the conjunction of the input and the hidden predicates in the body is true, then the head is true is true with probability p otherwise, the head is false with probability 1-p.  Note that, hidden predicates in the body of clauses in the programs are all different.
 If the clause has an empty body, it can be represented like this:
    
-
    h:p.
+
    h:p.
 
    
 
    
 
    If the clause is annotated with probability 1, the annotation can be omitted and the clause takes
 the form of a normal prolog clause, i.e.:
    
-
    h :- Body.
+
    h :- Body.
 
    
 
    
 
    stands for:
    
-
    h:1 :- Body.
+
    h:1 :- Body.
 
    
 
    
-
    The following example inspired from the UWCSE dataset used in [KD05] is represented as (file uwcse.pl)
    
-
    advisedby(A,B):0.3 :-student(A),professor(B),project(A,C),project(B,C),hid_1(A,B,C).
+
    The following example inspired from the UWCSE dataset used in [KD05] is represented as (file uwcse.pl)
    
+
    advisedby(A,B):0.3 :-student(A),professor(B),project(A,C),project(B,C),hid_1(A,B,C).
 advisedby(A,B):0.6 :-student(A),professor(B),ta(C,A),taughtby(C,B).
 hid_1(A,B,C): 0.2 :- publication(D,A,C),publication(D,B,C).
 
@@ -164,14 +157,14 @@ 
    Semantics[Poo97][SK01].
    
+
    If the HPLP contains function symbols, the definition is more complex, see [Poo97][SK01].
    
 
    
 
    
 
    Inference
    
-
    phil answers queries using the module phil. It performs exact inference using a program transformation technique.  Each program is converted to a set of arithmetic circuits (ACs) or deep neural networks using a modified version of PITA [Rig14] with tabling and answer subsumption [RS10] as described in [NguembangFadjaLR17].
    
-
    For answering queries, you have to prepare a Prolog file where you first load the inference module phil, initialize it with the directive :- phil and then enclose the hierarchical program clauses in :-begin_in. and :-end_in. or enclose the clauses in in([<clauses>]).
-For example, the uwcse program above can be stored in uwcse.pl for performing inference with phil as follows
    
-
    :- use_module(library(phil)).
+
    phil answers queries using the module phil. It performs exact inference using a program transformation technique.  Each program is converted to a set of arithmetic circuits (ACs) or deep neural networks using a modified version of PITA [Rig14] with tabling and answer subsumption [RS10] as described in [FRL21][NguembangFadjaLR17].
    
+
    For answering queries, you have to prepare a Prolog file where you first load the inference module phil, initialize it with the directive :- phil and then enclose the hierarchical program clauses in :-begin_in. and :-end_in. or enclose the clauses in in([<clauses>]).
+For example, the uwcse program above can be stored in uwcse.pl for performing inference with phil as follows
    
+
    :- use_module(library(phil)).
 :- phil.
 
 :- begin_in.
@@ -193,25 +186,25 @@ 
    Inferenceend(model(ai)).
 
    
 
    
-
    You can also have (non-probabilistic) clauses outside :-begin/end_in. which can be enclosed in bg(<list of terms representing clauses>).
+
    You can also have (non-probabilistic) clauses outside :-begin/end_in. which can be enclosed in bg(<list of terms representing clauses>).
 These are considered as database clauses.
    
 
    To run a query, you can simply load the Prolog file, for example uwcse.pl, as:
    
-
    ?- [uwcse].
+
    ?- [uwcse].
 
    
 
    
 
    or:
    
-
    $ swipl uwcse.pl
+
    $ swipl uwcse.pl
 
    
 
    
 
    and run the query:
    
-
    ?- inference_hplp(advisedby(harry,ben),ai,Prob).
+
    ?- inference_hplp(advisedby(harry,ben),ai,Prob).
 
    
 
    
-
    where advisedby(harry,ben) is the atom for the target predicate, ai the interpretation or the model where the query is run and Prob stores the computed probability. For also generating the arithmetic circuit, run the query:
    
-
    ?- inference_hplp(advisedby(harry,ben),ai,Prob,Circuit).
+
    where advisedby(harry,ben) is the atom for the target predicate, ai the interpretation or the model where the query is run and Prob stores the computed probability. For also generating the arithmetic circuit, run the query:
    
+
    ?- inference_hplp(advisedby(harry,ben),ai,Prob,Circuit).
 
    
 
    
-
    where Circuit stores the arithmetic circuit as a Prolog term.
    
+
    where Circuit stores the arithmetic circuit as a Prolog term.
    
 
    
 
    
 
    Learning
    
@@ -220,8 +213,8 @@ 
    LearningPHIL for Parameter learning for HIerarchical probabilistic Logic programs. Given an input HPLP, PHIL learns its parameters from data. Two versions of PHIL are implemented:
    
 
    
 
      
-
    • DPHIL (Deep PHIL) [NFRL18b] performs gradient descent over the ACs. Two regularizations of DPHIL are implemented: L1 and L2 regularizations as used in the deep learning community.
      • 
-
    • EMPHIL (Expectation Maximization PHIL) [NFRL18a] performs EM. Three regularizations of EMPHIL are implemented: besides the previous two regularizations, a regularization based on Bayesian update of the parameters is also implemented.
      • 
+
    • DPHIL (Deep PHIL) [NFRL18b] performs gradient descent over the ACs. Two regularizations of DPHIL are implemented: L1 and L2 regularizations as used in the deep learning community.
      • 
+
    • EMPHIL (Expectation Maximization PHIL) [NFRL18a] performs EM. Three regularizations of EMPHIL are implemented: besides the previous two regularizations, a regularization based on Bayesian update of the parameters is also implemented.
      • 
 
    
 
    
 
@@ -239,19 +232,19 @@ 
    Input
 
  • example interpretations
    • 
 
 
    The preamble must come first, the order of the other parts can be changed.
    
-
    For example, consider the Bongard problems of [DRVL95]. bongard.pl and bongardkeys.pl represent a Bongard problem for SLEAHP.
    
+
    For example, consider the Bongard problems of [DRVL95]. bongard.pl and bongardkeys.pl represent a Bongard problem for SLEAHP.
    
 
    
 
    Preamble
    
 
    In the preamble, the PHIL library is loaded with (bongard.pl):
    
-
    :- use_module(library(phil)).
+
    :- use_module(library(phil)).
 
    
 
    
 
    Now you can initialize  with
    
-
    :- phil.
+
    :- phil.
 
    
 
    
 
    At this point you can start setting parameters for SLEAHP such as for example
    
-
    :- set_hplp(megaex_bottom,10).
+
    :- set_hplp(megaex_bottom,10).
 :- set_hplp(rate,0.95).
 :- set_hplp(max_layer,-1).
 :- set_hplp(min_probability,0.00001).
@@ -263,19 +256,19 @@ 
    Preamble
 
    Background and Initial hierarchical program
    
 
    Now you can specify the background knowledge with a fact of the form
    
-
    bg(<list of terms representing clauses>).
+
    bg(<list of terms representing clauses>).
 
    
 
    
 
    where the clauses must be deterministic.
-Alternatively, you can specify a set of clauses by including them in a section between :- begin_bg. and :- end_bg.
+Alternatively, you can specify a set of clauses by including them in a section between :- begin_bg. and :- end_bg.
 Moreover, you can specify an initial program with a fact of the form
    
-
    in(<list of terms representing clauses>).
+
    in(<list of terms representing clauses>).
 
    
 
    
 
    The initial program is used in parameter learning for providing the structure.
-Remember to enclose each clause in parentheses because :- has the highest precedence.
    
+Remember to enclose each clause in parentheses because :- has the highest precedence.
    
 
    For example, bongard.pl has the initial program
    
-
    in([(pos:0.197575 :-
+
    in([(pos:0.197575 :-
    circle(A),
    in(B,A)),
 (pos:0.000303421 :-
@@ -286,8 +279,8 @@ 
    Background and Initial hierarchical programcircle(B))]).
 
    
 
    
-
    Alternatively, you can specify an input program in a section between :- begin_in. and :- end_in. as for example
    
-
    :- begin_in.
+
    Alternatively, you can specify an input program in a section between :- begin_in. and :- end_in. as for example
    
+
    :- begin_in.
 
 pos:0.197575 :-
         circle(A),
@@ -302,61 +295,61 @@ 
    Background and Initial hierarchical program:- end_in.
 
    
 
    
-
    If you specify both a in/1 fact and a section, the clauses of the two will be combined.
    
+
    If you specify both a in/1 fact and a section, the clauses of the two will be combined.
    
 
    The annotations of the head atoms of the initial program can be probabilities, as in the example above. In parameter learning, the learning procedure can start with the initial parameters in the program. In this case, it is up to the user to ensure that there are values between 0 and 1. In the case of structure learning, the initial program is not necessary.
    
 
    
 
    
 
    Language Bias
    
 
    The language bias part contains the declarations of the input and output predicates. Note that the hidden predicates are not declared since there are automatically generated.
 The output predicate is declared as
    
-
    output(<predicate>/<arity>).
+
    output(<predicate>/<arity>).
 
    
 
    
 
    and indicates the predicate whose atom you want to predict.
 Derivations for the atoms for this predicate in the input data is built by the system.
 Input predicates are those whose atoms you are not interested in predicting.
 You can declare input predicates with
    
-
    input(<predicate>/<arity>).
+
    input(<predicate>/<arity>).
 
    
 
    
 
    For these predicates, the only true atoms are those in the interpretations and those derivable from them using the background knowledge.
    
 
    Then, for structure learning you have to specify the language bias by means of mode declarations in the style of Progol.
    
-
    modeh(<recall>,<predicate>(<arg1>,...)).
+
    modeh(<recall>,<predicate>(<arg1>,...)).
 
    
 
    
 
    specifies the atoms that can appear in the head of clauses. In hierarchical programs only the ouput and the hidden predicates can appear in the head of clauses.
    
-
    modeb(<recall>,<predicate>(<arg1>,...)).
+
    modeb(<recall>,<predicate>(<arg1>,...)).
 
    
 
    
-
    specifies the atoms that can appear in the body of clauses. <recall> can be an integer or *. <recall> indicates how many atoms for the predicate specification are retained in the bottom clause during a saturation step. * stands for all those that are found.
+
    specifies the atoms that can appear in the body of clauses. <recall> can be an integer or *. <recall> indicates how many atoms for the predicate specification are retained in the bottom clause during a saturation step. * stands for all those that are found.
 Otherwise the indicated number of atoms are randomly chosen.
    
 
    Arguments of the form
    
-
    +<type>
+
    +<type>
 
    
 
    
-
    specifies that the argument should be an input variable of type <type>, i.e., a variable replacing a +<type> argument in the head or a -<type> argument in a preceding literal in the current hypothesized clause.
    
+
    specifies that the argument should be an input variable of type <type>, i.e., a variable replacing a +<type> argument in the head or a -<type> argument in a preceding literal in the current hypothesized clause.
    
 
    Another argument form is
    
-
    -<type>
+
    -<type>
 
    
 
    
-
    for specifying that the argument should be a output variable of type <type>.
+
    for specifying that the argument should be a output variable of type <type>.
 Any variable can replace this argument, either input or output.
 The only constraint on output variables is that those in the head of a clause must appear as output variables in an atom in the body.
    
 
    Other forms are
    
-
    #<type>
+
    #<type>
 
    
 
    
-
    for specifying an argument which should be replaced by a constant of type <type> in the bottom clause but should not be used for replacing input variables of the following literals when building the bottom clause or
    
-
    -#<type>
+
    for specifying an argument which should be replaced by a constant of type <type> in the bottom clause but should not be used for replacing input variables of the following literals when building the bottom clause or
    
+
    -#<type>
 
    
 
    
-
    for specifying an argument which should be replaced by a constant of type <type> in the bottom clause and that should be used for replacing input variables of the following literals when building the bottom clause.
    
-
    <constant>
+
    for specifying an argument which should be replaced by a constant of type <type> in the bottom clause and that should be used for replacing input variables of the following literals when building the bottom clause.
    
+
    <constant>
 
    
 
    
 
    for specifying a constant.
    
 
    An example of language bias for the Bongard domain is
    
-
    output(pos/0).
+
    output(pos/0).
 
 input(triangle/1).
 input(square/1).
@@ -373,23 +366,23 @@ 
    Language Biasmodeb(*,config(+obj,-#dir)).
 
    
 
    
-
    SLEAHP also requires facts for the determination/2 Aleph-style predicate that indicate which predicates can appear in the body of clauses.
+
    SLEAHP also requires facts for the determination/2 Aleph-style predicate that indicate which predicates can appear in the body of clauses.
 For example
    
-
    determination(pos/0,triangle/1).
+
    determination(pos/0,triangle/1).
 determination(pos/0,square/1).
 determination(pos/0,circle/1).
 determination(pos/0,in/2).
 determination(pos/0,config/2).
 
    
 
    
-
    state that triangle/1 can appear in the body of clauses for pos/0.
    
+
    state that triangle/1 can appear in the body of clauses for pos/0.
    
 
    
 
    
 
    Example Interpretations
    
 
    The last part of the file contains the data.
 You can specify data with two modalities: models and keys.
-In the models case, you specify an example model (or interpretation or mega-example) as a list of Prolog facts initiated by begin(model(<name>)). and terminated by end(model(<name>)). as in
    
-
    begin(model(2)).
+In the models case, you specify an example model (or interpretation or mega-example) as a list of Prolog facts initiated by begin(model(<name>)). and terminated by end(model(<name>)). as in
    
+
    begin(model(2)).
 pos.
 triangle(o5).
 config(o5,up).
@@ -405,11 +398,11 @@ 
    Example Interpretations
    
 
    
 
    The facts in the interpretation are loaded in SWI-Prolog database by adding an extra initial argument equal to the name of the model.
-After each interpretation is loaded, a fact of the form int(<id>) is asserted, where id is the name of the interpretation.
+After each interpretation is loaded, a fact of the form int(<id>) is asserted, where id is the name of the interpretation.
 This can be used in order to retrieve the list of interpretations.
    
 
    Alternatively, with the keys modality, you can directly write the facts and the first argument will be interpreted as a model identifier.
 The above interpretation in the keys modality is
    
-
    pos(2).
+
    pos(2).
 triangle(2,o5).
 config(2,o5,up).
 square(2,o4).
@@ -423,12 +416,12 @@ 
    Example Interpretations
    
 
    
 
    which is contained in the bongardkeys.pl.
-This is also how model 2 above is stored in SWI-Prolog database.
+This is also how model 2 above is stored in SWI-Prolog database.
 The two modalities, models and keys, can be mixed in the same file.
-Facts for int/1 are not asserted for interpretations in the key modality but can be added by the user explicitly.
    
+Facts for int/1 are not asserted for interpretations in the key modality but can be added by the user explicitly.
    
 
    Note that you can add background knowledge that is not probabilistic directly to the file writing clauses taking into account the model argument.
-For example (carc.pl), available in phil_datasets, contains
    
-
    connected(_M,Ring1,Ring2):-
+For example (carc.pl), available in phil_datasets, contains
    
+
    connected(_M,Ring1,Ring2):-
         Ring1 \= Ring2,
         member(A,Ring1),
         member(A,Ring2), !.
@@ -438,26 +431,26 @@ 
    Example Interpretations
    
 
    
 
    where the first argument of all atoms is the model.
    
-
    Then you must indicate how examples are divided in folds with facts of the form: fold(<fold_name>,<list of model identifiers>), as for example
    
-
    fold(train,[2,3,...]).
+
    Then you must indicate how examples are divided in folds with facts of the form: fold(<fold_name>,<list of model identifiers>), as for example
    
+
    fold(train,[2,3,...]).
 fold(test,[490,491,...]).
 
    
 
    
 
    As the input file is a Prolog program, you can define intentionally the folds as in
    
-
    fold(all,F):-
+
    fold(all,F):-
 findall(I,int(I),F).
 
    
 
    
-
    fold/2 is dynamic so you can also write
    
-
    :- fold(all,F),
+
    fold/2 is dynamic so you can also write
    
+
    :- fold(all,F),
 sample_hplp(4,F,FTr,FTe),
 assert(fold(rand_train,FTr)),
 assert(fold(rand_test,FTe)).
 
    
 
    
-
    which however must be inserted after the input interpretations otherwise the facts for int/1 will not be available and the fold all would be empty.
-This command uses sample_hplp(N,List,Sampled,Rest) exported from phil that samples N elements from List and returns the sampled elements in Sampled and the rest in Rest.
-If List has N elements or less, Sampled is equal to List and Rest is empty.
    
+
    which however must be inserted after the input interpretations otherwise the facts for int/1 will not be available and the fold all would be empty.
+This command uses sample_hplp(N,List,Sampled,Rest) exported from phil that samples N elements from List and returns the sampled elements in Sampled and the rest in Rest.
+If List has N elements or less, Sampled is equal to List and Rest is empty.
    
 
    
 
    
 
    
@@ -465,63 +458,63 @@ 
    Commands
 
    Parameter Learning
    
 
    To execute PHIL, prepare an input file as indicated above and call
    
-
    ?- induce_hplp_par(+List_of_folds:list,-P:list).
+
    ?- induce_hplp_par(+List_of_folds:list,-P:list).
 
    
 
    
-
    where <list of folds> is a list of the folds for training and P will contain the input program with updated parameters.
    
-
    For example bongard.pl, you can perform parameter learning on the train fold with
    
-
    ?- induce_hplp_par([train],P).
+
    where <list of folds> is a list of the folds for training and P will contain the input program with updated parameters.
    
+
    For example bongard.pl, you can perform parameter learning on the train fold with
    
+
    ?- induce_hplp_par([train],P).
 
    
 
    
 
    
 
    
 
    Structure Learning
    
 
    To execute SLEAHP, prepare an input file in the editor panel as indicated above and call
    
-
    ?- induce_hplp(+List_of_folds:list,-P:list).
+
    ?- induce_hplp(+List_of_folds:list,-P:list).
 
    
 
    
-
    where List_of_folds is a list of the folds for training and P will contain the learned program.
    
-
    For example bongard.pl, you can perform structure learning on the train fold with
    
-
    ?- induce_hplp([train],P).
+
    where List_of_folds is a list of the folds for training and P will contain the learned program.
    
+
    For example bongard.pl, you can perform structure learning on the train fold with
    
+
    ?- induce_hplp([train],P).
 
    
 
    
-
    A program can also be tested on a test set with test_hplp/7  as described below.
    
-
    Between two executions of induce_hplp/2 you should exit SWI-Prolog to have a clean database.
    
+
    A program can also be tested on a test set with test_hplp/7  as described below.
    
+
    Between two executions of induce_hplp/2 you should exit SWI-Prolog to have a clean database.
    
 
    
 
    
 
    Testing
    
 
    A program can also be tested on a test set in SLEAHP with
    
-
    test_hplp(+Program:list,+List_of_folds:list,-LL:float,-AUCROC:float,-ROC:list,-AUCPR:float,-PR:list) is det
+
    test_hplp(+Program:list,+List_of_folds:list,-LL:float,-AUCROC:float,-ROC:list,-AUCPR:float,-PR:list) is det
 
    
 
    
-
    where Program is a list of terms representing clauses and List_of_folds is a list of folds.
    
-
    test_hplp/7 returns the log likelihood of the test examples in LL, the Area Under the ROC curve in AUCROC, a dictionary containing the list of points (in the form of Prolog pairs x-y) of the ROC curve in ROC, the Area Under the PR curve in AUCPR, a dictionary containing the list of points of the PR curve in PR.
    
-
    Then you can draw the curves in phil using C3.js as follows
    
-
    compute_areas_diagrams(+ExampleList:list,-AUCROC:float,-ROC:dict,-AUCPR:float,-PR:dict) is det
+
    where Program is a list of terms representing clauses and List_of_folds is a list of folds.
    
+
    test_hplp/7 returns the log likelihood of the test examples in LL, the Area Under the ROC curve in AUCROC, a dictionary containing the list of points (in the form of Prolog pairs x-y) of the ROC curve in ROC, the Area Under the PR curve in AUCPR, a dictionary containing the list of points of the PR curve in PR.
    
+
    Then you can draw the curves in phil using C3.js as follows
    
+
    compute_areas_diagrams(+ExampleList:list,-AUCROC:float,-ROC:dict,-AUCPR:float,-PR:dict) is det
 
    
 
    
-
    (from pack auc.pl) that takes as input a list ExampleList of pairs probability-literal.
    
-
    For example, to test on fold test the program learned on fold train you can run the query
    
-
    ?- induce_hplp_par([train],P),
+
    (from pack auc.pl) that takes as input a list ExampleList of pairs probability-literal.
    
+
    For example, to test on fold test the program learned on fold train you can run the query
    
+
    ?- induce_hplp_par([train],P),
 test_hplp(P,[test],LL,AUCROC,ROC,AUCPR,PR).
 
    
 
    
-
    Or you can test the input program on the fold test with
    
-
    ?- in(P),test_hplp(P,[test],LL,AUCROC,ROC,AUCPR,PR).
+
    Or you can test the input program on the fold test with
    
+
    ?- in(P),test_hplp(P,[test],LL,AUCROC,ROC,AUCPR,PR).
 
    
 
    
-
    In phil on SWISH, by including
    
-
    :- use_rendering(c3).
+
    In phil on SWISH, by including
    
+
    :- use_rendering(c3).
 :- use_rendering(lpad).
 
    
 
    
-
    in the code before :- phil. the curves will be shown as graphs using C3.js and the output program will be pretty printed.
    
+
    in the code before :- phil. the curves will be shown as graphs using C3.js and the output program will be pretty printed.
    
 
    
 
    
 
    
 
    Hyper-parameters for Learning
    
 
    Hyper-parameters are set with commands of the form
    
-
    :- set_hplp(<parameter>,<value>).
+
    :- set_hplp(<parameter>,<value>).
 
    
 
    
 
    They are available both for PHIL and SLEAHP:
    
@@ -529,43 +522,43 @@ 
    Hyper-parameters for LearningPHIL hyper-parameters
    
 
    
 
      
-
    • algorithmType (values: {dphil,emphil}, default value: dphil): defines the parameter learning algorithm.
      • 
-
    • maxIter_phil (values: integer, default value: 1000): maximum number of iteration of PHIL. If set to -1, no maximum number of iterations is imposed.
      • 
-
    • epsilon_deep (values: real, default value: 0.0001): if the difference in the log likelihood in two successive PHIL (DPHIL and EMPHIL) iteration is smaller than epsilon_deep, then PHIL stops.
      • 
-
    • epsilon_deep_fraction (values: real, default value: 0.00001): if the difference in the log likelihood in two successive PHIL iteration is smaller than epsilon_deep_fraction*(-current log likelihood), then PHIL stops.
      • 
-
    • seed (values: seed(integer) or seed(random), default value seed(3032)): seed for the Prolog random functions, see SWI-Prolog manual .
      • 
-
    • setSeed (values: {no,yes}, default value: no): if yes, the value of c_seed is used as seed for randomly initializing the probabilities in PHIL  otherwise the actual clock value is used.
      • 
-
    • c_seed (values: unsigned integer, default value 21344)): seed for the C random functions if setSeed is set to yes.
      • 
-
    • useInitParams (values: {no,yes}, default value: no): if yes the initial parameters during the learning are the ones indicated in the program. Otherwise, the initial parameters are generated randomly using the clock seed.
      • 
-
    • logzero (values: negative real, default value \(\log(0.000001)\)): value assigned to \(\log(0)\).
      • 
-
    • zero (values: real, default value \(0.000001\)): value assigned to \(0\).
      • 
-
    • max_initial_weight (values: real number , default value: 0.5): weights in DPHIL are randomly initialized with values in the interval [-max_initial_weight, max_initial_weight].
      • 
-
    • adam_params (values: list of four values [learningRate, beta1, beta2, epsilon], default value: [0.001,0.9,0.999,1e-8]): provides Adam’s hyper-parameters.
      • 
-
    • batch_strategy (values: minibatch(size), stoch_minibatch(size), batch, default value: minibatch(10)): defines the gradient descent strategy in DPHIL. If set to minibatch(size) the mini batch strategy with batch size size is used i.e at each iteration, size arithmetic circuits (ACs) are used to compute the gradients. If set to batch the whole set of ACs are used to compute the gradients. stoch_minibatch(size) is a modified version of mini batch in which at each iteration, size  ACs are randomly selected for computing the gradients.
      • 
-
    • saveStatistics (values: {no,yes}, default value: no): if yes, the statistics (evolution of the likelihood and other values) during parameter learning are saved in a folder whose name is the value of statistics_folder hyper-parameter.
      • 
-
    • statistics_folder (values: string , default value: statistics): folder where to save the statistics if saveStatistics is set to yes.
      • 
-
    • regularized (values: {no,yes} , default value: no): if set to yes regularization is enabled.
      • 
-
    • regularizationType (values: integer in [0,3] , default value: 0):  0 to disable regularization, 1, 2 and 3 for L1, L2 and Bayesian regularization respectively.
      • 
-
    • gamma (values: real number, default value: 10): regularization coefficient for L1 and L2. Is equal to the Dirichlet coefficient a for Bayesian regularization.
      • 
-
    • gammaCount (values:real number , default value: 0): Dirichlet coefficient b for Bayesian regularization and typically 0 for L1 and l2 regularization.
      • 
+
    • algorithmType (values: {dphil,emphil}, default value: dphil): defines the parameter learning algorithm.
      • 
+
    • maxIter_phil (values: integer, default value: 1000): maximum number of iteration of PHIL. If set to -1, no maximum number of iterations is imposed.
      • 
+
    • epsilon_deep (values: real, default value: 0.0001): if the difference in the log likelihood in two successive PHIL (DPHIL and EMPHIL) iteration is smaller than epsilon_deep, then PHIL stops.
      • 
+
    • epsilon_deep_fraction (values: real, default value: 0.00001): if the difference in the log likelihood in two successive PHIL iteration is smaller than epsilon_deep_fraction*(-current log likelihood), then PHIL stops.
      • 
+
    • seed (values: seed(integer) or seed(random), default value seed(3032)): seed for the Prolog random functions, see SWI-Prolog manual .
      • 
+
    • setSeed (values: {no,yes}, default value: no): if yes, the value of c_seed is used as seed for randomly initializing the probabilities in PHIL  otherwise the actual clock value is used.
      • 
+
    • c_seed (values: unsigned integer, default value 21344)): seed for the C random functions if setSeed is set to yes.
      • 
+
    • useInitParams (values: {no,yes}, default value: no): if yes the initial parameters during the learning are the ones indicated in the program. Otherwise, the initial parameters are generated randomly using the clock seed.
      • 
+
    • logzero (values: negative real, default value \(\log(0.000001)\)): value assigned to \(\log(0)\).
      • 
+
    • zero (values: real, default value \(0.000001\)): value assigned to \(0\).
      • 
+
    • max_initial_weight (values: real number , default value: 0.5): weights in DPHIL are randomly initialized with values in the interval [-max_initial_weight, max_initial_weight].
      • 
+
    • adam_params (values: list of four values [learningRate, beta1, beta2, epsilon], default value: [0.001,0.9,0.999,1e-8]): provides Adam’s hyper-parameters.
      • 
+
    • batch_strategy (values: minibatch(size), stoch_minibatch(size), batch, default value: minibatch(10)): defines the gradient descent strategy in DPHIL. If set to minibatch(size) the mini batch strategy with batch size size is used i.e at each iteration, size arithmetic circuits (ACs) are used to compute the gradients. If set to batch the whole set of ACs are used to compute the gradients. stoch_minibatch(size) is a modified version of mini batch in which at each iteration, size  ACs are randomly selected for computing the gradients.
      • 
+
    • saveStatistics (values: {no,yes}, default value: no): if yes, the statistics (evolution of the likelihood and other values) during parameter learning are saved in a folder whose name is the value of statistics_folder hyper-parameter.
      • 
+
    • statistics_folder (values: string , default value: statistics): folder where to save the statistics if saveStatistics is set to yes.
      • 
+
    • regularized (values: {no,yes} , default value: no): if set to yes regularization is enabled.
      • 
+
    • regularizationType (values: integer in [0,3] , default value: 0):  0 to disable regularization, 1, 2 and 3 for L1, L2 and Bayesian regularization respectively.
      • 
+
    • gamma (values: real number, default value: 10): regularization coefficient for L1 and L2. Is equal to the Dirichlet coefficient a for Bayesian regularization.
      • 
+
    • gammaCount (values:real number , default value: 0): Dirichlet coefficient b for Bayesian regularization and typically 0 for L1 and l2 regularization.
      • 
 
    
 
    
 
 
  • SLEAHP hyper-parameters
    
 
    
 
      
-
    • megaex_bottom (values: integer, default value: 1, valid for SLEAHP): number of mega-examples on which to build the bottom clauses.
      • 
-
    • initial_clauses_per_megaex (values: integer, default value: 1, valid for SLEAHP): number of bottom clauses to build for each mega-example (or model or interpretation).
      • 
-
    • d (values: integer, default value: 1, valid for SLEAHP): number of saturation steps when building the bottom clause.
      • 
-
    • neg_ex (values: given, cw, default value: cw): if set to given, the negative examples in training and testing are taken from the test folds interpretations, i.e., those examples ex stored as neg(ex); if set to cw, the negative examples in training and testing are generated according to the closed world assumption, i.e., all atoms for target predicates that are not positive examples. The set of all atoms is obtained by collecting the set of constants for each type of the arguments of the target predicate, so the target predicates must have at least one fact for modeh/2 or modeb/2 also for parameter learning.
      • 
-
    • probability (values:real number in [0,1] , default value: 1.0): initial value which indicates the probability to go from the current layer to the next when generating the initial HPLP.
      • 
-
    • rate (values: real number in [0,1], default value: 0.95): at each layer during the tree generation, the probability to go deeper is equal to probability=probability*rate. The deeper the layer the lower is the probability to go deeper.
      • 
-
    • min_probability (values: real number in [0,1], default value: 1e-5):  probability threshold under which a clause is dropped out.
      • 
-
    • use_all_mega_examples (values: {no,yes} , default value:yes): if set to yes all the the bottom clauses are used to create the tree otherwise only one of them is used (typically the first).
      • 
-
    • saveHPLP (values: {no,yes}, default value: no): if set to yes the initial and the learned hierarchical programs are saved in the current folder.
      • 
-
    • saveFile (values: string, default value: “hplp”): file name where to save the initial hierarchical programs if saveHPLP  is set to yes. If the file name is hplp, the learned program is saved in file hplp_learned.
      • 
-
    • max_layer (values: integer, default value: -1): maximum layer of clauses. If set to -1, no maximum is imposed.
      • 
-
    • verbosity (values: integer in [1,3], default value: 1): level of verbosity of the algorithms.
      • 
+
    • megaex_bottom (values: integer, default value: 1, valid for SLEAHP): number of mega-examples on which to build the bottom clauses.
      • 
+
    • initial_clauses_per_megaex (values: integer, default value: 1, valid for SLEAHP): number of bottom clauses to build for each mega-example (or model or interpretation).
      • 
+
    • d (values: integer, default value: 1, valid for SLEAHP): number of saturation steps when building the bottom clause.
      • 
+
    • neg_ex (values: given, cw, default value: cw): if set to given, the negative examples in training and testing are taken from the test folds interpretations, i.e., those examples ex stored as neg(ex); if set to cw, the negative examples in training and testing are generated according to the closed world assumption, i.e., all atoms for target predicates that are not positive examples. The set of all atoms is obtained by collecting the set of constants for each type of the arguments of the target predicate, so the target predicates must have at least one fact for modeh/2 or modeb/2 also for parameter learning.
      • 
+
    • probability (values:real number in [0,1] , default value: 1.0): initial value which indicates the probability to go from the current layer to the next when generating the initial HPLP.
      • 
+
    • rate (values: real number in [0,1], default value: 0.95): at each layer during the tree generation, the probability to go deeper is equal to probability=probability*rate. The deeper the layer the lower is the probability to go deeper.
      • 
+
    • min_probability (values: real number in [0,1], default value: 1e-5):  probability threshold under which a clause is dropped out.
      • 
+
    • use_all_mega_examples (values: {no,yes} , default value:yes): if set to yes all the the bottom clauses are used to create the tree otherwise only one of them is used (typically the first).
      • 
+
    • saveHPLP (values: {no,yes}, default value: no): if set to yes the initial and the learned hierarchical programs are saved in the current folder.
      • 
+
    • saveFile (values: string, default value: “hplp”): file name where to save the initial hierarchical programs if saveHPLP  is set to yes. If the file name is hplp, the learned program is saved in file hplp_learned.
      • 
+
    • max_layer (values: integer, default value: -1): maximum layer of clauses. If set to -1, no maximum is imposed.
      • 
+
    • verbosity (values: integer in [1,3], default value: 1): level of verbosity of the algorithms.
      • 
 
    
 
    
 
    • 
@@ -574,9 +567,9 @@ 
    Hyper-parameters for Learning
 
    Example Files
    
-
    The pack/phil/prolog/examples folder in SWI-Prolog home contains some example programs.
-The subfolder learning contains some learning examples.
-The pack/phil/docs folder contains this manual in latex, html and pdf.
    
+
    The pack/phil/prolog/examples folder in SWI-Prolog home contains some example programs.
+The subfolder learning contains some learning examples.
+The pack/phil/docs folder contains this manual in latex, html and pdf.
    
 
    
 
    
 
    Manual in PDF
    
@@ -592,67 +585,73 @@ 
    References
-
+
+
+
    
 
 
    [DRVL95]L. De Raedt and W. Van Laer. Inductive constraint logic. In Proceedings of the 6th Conference on Algorithmic Learning Theory (ALT 1995), volume 997 of LNAI, 80–94. Fukuoka, Japan, 1995. Springer.
    [DRVL95]L. De Raedt and W. Van Laer. Inductive constraint logic. In Proceedings of the 6th Conference on Algorithmic Learning Theory (ALT 1995), volume 997 of LNAI, 80–94. Fukuoka, Japan, 1995. Springer.
    
+
+
+
+
    [FRL21](1, 2, 3) Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Learning hierarchical probabilistic logic programs. Machine Learning, pages 1–57, 2021.
    
     
 
    
 
-
+
    
 
 
    [KD05]Stanley Kok and Pedro Domingos. Learning the structure of markov logic networks. In Proceedings of the 22nd international conference on Machine learning, 441–448. 2005.
    [KD05]Stanley Kok and Pedro Domingos. Learning the structure of markov logic networks. In Proceedings of the 22nd international conference on Machine learning, 441–448. 2005.
    
     
 
    
 
-
+
    
 
 
    [NFRL18a]Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Expectation maximization in deep probabilistic logic programming. In International Conference of the Italian Association for Artificial Intelligence, 293–306. Springer, 2018.
    [NFRL18a]Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Expectation maximization in deep probabilistic logic programming. In International Conference of the Italian Association for Artificial Intelligence, 293–306. Springer, 2018.
    
     
 
    
 
-
+
    
 
 
    [NFRL18b]Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Learning the parameters of deep probabilistic logic programs. In Elena Bellodi and Tom Schrijvers, editors, Probabilistic Logic Programming (PLP 2018), volume 2219 of CEUR Workshop Proceedings, 9–14. Aachen, Germany, 2018. Sun SITE Central Europe. URL: http://ceur-ws.org/Vol-2219/paper2.pdf.
    [NFRL18b]Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Learning the parameters of deep probabilistic logic programs. In Elena Bellodi and Tom Schrijvers, editors, Probabilistic Logic Programming (PLP 2018), volume 2219 of CEUR Workshop Proceedings, 9–14. Aachen, Germany, 2018. Sun SITE Central Europe. URL: http://ceur-ws.org/Vol-2219/paper2.pdf.
    
     
 
    
 
-
+
    
 
 
    [Poo97]David Poole. The independent choice logic for modelling multiple agents under uncertainty. Artificial Intelligence, 94(1-2):7–56, 1997.
    [Poo97]David Poole. The independent choice logic for modelling multiple agents under uncertainty. Artificial Intelligence, 94(1-2):7–56, 1997.
    
     
 
    
 
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    [Rig14]Fabrizio Riguzzi. Speeding up inference for probabilistic logic programs. CJ_J, 57(3):347–363, 2014. doi:10.1093/comjnl/bxt096.
    [Rig14]Fabrizio Riguzzi. Speeding up inference for probabilistic logic programs. CJ_J, 57(3):347–363, 2014. doi:10.1093/comjnl/bxt096.
    
     
 
    
 
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    [RS10]Fabrizio Riguzzi and Terrance Swift. Tabling and Answer Subsumption for Reasoning on Logic Programs with Annotated Disjunctions. In Technical Communications of the International Conference on Logic Programming, volume 7 of Leibniz International Proceedings in Informatics (LIPIcs), 162–171. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, 2010. doi:10.4230/LIPIcs.ICLP.2010.162.
    [RS10]Fabrizio Riguzzi and Terrance Swift. Tabling and Answer Subsumption for Reasoning on Logic Programs with Annotated Disjunctions. In Technical Communications of the International Conference on Logic Programming, volume 7 of Leibniz International Proceedings in Informatics (LIPIcs), 162–171. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, 2010. doi:10.4230/LIPIcs.ICLP.2010.162.
    
     
 
    
 
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    [SK01]Taisuke Sato and Yoshitaka Kameya. Parameter learning of logic programs for symbolic-statistical modeling. J. Artif. Intell. Res., 15:391–454, 2001.
    [SK01]Taisuke Sato and Yoshitaka Kameya. Parameter learning of logic programs for symbolic-statistical modeling. J. Artif. Intell. Res., 15:391–454, 2001.
    
     
 
    
 
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    [VV03]J. Vennekens and S. Verbaeten. Logic programs with annotated disjunctions. Technical Report CW386, K. U. Leuven, 2003.
    [VV03]J. Vennekens and S. Verbaeten. Logic programs with annotated disjunctions. Technical Report CW386, K. U. Leuven, 2003.
    
     
 
    
 
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    [VVB04]J. Vennekens, S. Verbaeten, and M. Bruynooghe. Logic programs with annotated disjunctions. In International Conference on Logic Programming, volume 3131 of LNCS, 195–209. Springer, 2004.
    [VVB04]J. Vennekens, S. Verbaeten, and M. Bruynooghe. Logic programs with annotated disjunctions. In International Conference on Logic Programming, volume 3131 of LNCS, 195–209. Springer, 2004.
    
     
 
    
 
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    [NguembangFadjaLR17](1, 2, 3) Arnaud Nguembang Fadja, Evelina Lamma, and Fabrizio Riguzzi. Deep probabilistic logic programming. In Christian Theil Have and Riccardo Zese, editors, PLP17_B, volume 1916 of CEUR_S, 3–14. Sun SITE Central Europe, 2017.
    [NguembangFadjaLR17](1, 2) Arnaud Nguembang Fadja, Evelina Lamma, and Fabrizio Riguzzi. Deep probabilistic logic programming. In Christian Theil Have and Riccardo Zese, editors, PLP17_B, volume 1916 of CEUR_S, 3–14. Sun SITE Central Europe, 2017.
    
     
 
    
 
    
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diff --git a/packs_lib/phil/docs/_build/latex/footnotehyper-sphinx.sty b/packs_lib/phil/docs/_build/latex/footnotehyper-sphinx.sty
index ff23f6ebe8..b6692cfb85 100644
--- a/packs_lib/phil/docs/_build/latex/footnotehyper-sphinx.sty
+++ b/packs_lib/phil/docs/_build/latex/footnotehyper-sphinx.sty
@@ -1,13 +1,13 @@
 \NeedsTeXFormat{LaTeX2e}
 \ProvidesPackage{footnotehyper-sphinx}%
- [2017/03/07 v1.6 hyperref aware footnote.sty for sphinx (JFB)]
+ [2017/10/27 v1.7 hyperref aware footnote.sty for sphinx (JFB)]
 %%
 %% Package: footnotehyper-sphinx
 %% Version: based on footnotehyper.sty 2017/03/07 v1.0
-%% as available at http://www.ctan.org/pkg/footnotehyper
+%% as available at https://www.ctan.org/pkg/footnotehyper
 %% License: the one applying to Sphinx
 %%
-%% Refer to the PDF documentation  at http://www.ctan.org/pkg/footnotehyper for
+%% Refer to the PDF documentation  at https://www.ctan.org/pkg/footnotehyper for
 %% the code comments.
 %%
 %% Differences:
@@ -16,6 +16,7 @@
 %% 3. use of \sphinxunactivateextrasandspace from sphinx.sty,
 %% 4. macro definition \sphinxfootnotemark,
 %% 5. macro definition \sphinxlongtablepatch
+%% 6. replaced an \undefined by \@undefined
 \DeclareOption*{\PackageWarning{footnotehyper-sphinx}{Option `\CurrentOption' is unknown}}%
 \ProcessOptions\relax
 \newbox\FNH@notes
@@ -197,7 +198,7 @@
 }%
 \AtBeginDocument{%
    \let\FNH@@makefntext\@makefntext
-   \ifx\@makefntextFB\undefined
+   \ifx\@makefntextFB\@undefined
    \expandafter\@gobble\else\expandafter\@firstofone\fi
    {\ifFBFrenchFootnotes \let\FNH@@makefntext\@makefntextFB \else
                          \let\FNH@@makefntext\@makefntextORI\fi}%
diff --git a/packs_lib/phil/docs/_build/latex/latexmkjarc b/packs_lib/phil/docs/_build/latex/latexmkjarc
index 39ea47f3ba..5b315d6c9c 100644
--- a/packs_lib/phil/docs/_build/latex/latexmkjarc
+++ b/packs_lib/phil/docs/_build/latex/latexmkjarc
@@ -1,6 +1,21 @@
 $latex = 'platex ' . $ENV{'LATEXOPTS'} . ' -kanji=utf8 %O %S';
 $dvipdf = 'dvipdfmx %O -o %D %S';
-$makeindex = 'rm -f %D; mendex -U -f -d %B.dic -s python.ist %S || echo "mendex exited with error code $? (ignoring)" && : >> %D';
+$makeindex = 'internal mendex %S %B %D';
+sub mendex {
+  my ($source, $basename, $destination) = @_;
+  my $dictfile = $basename . ".dic";
+  unlink($destination);
+  system("mendex", "-U", "-f", "-d", $dictfile, "-s", "python.ist", $source);
+  if ($? > 0) {
+    print("mendex exited with error code $? (ignored)\n");
+  }
+  if (!-e $destination) {
+    # create an empty .ind file if nothing
+    open(FH, ">" . $destination);
+    close(FH);
+  }
+  return 0;
+}
 add_cus_dep( "glo", "gls", 0, "makeglo" );
 sub makeglo {
  return system( "mendex -J -f -s gglo.ist -o '$_[0].gls' '$_[0].glo'" );
diff --git a/packs_lib/phil/docs/_build/latex/phil.aux b/packs_lib/phil/docs/_build/latex/phil.aux
index 99855575a1..c24532b461 100644
--- a/packs_lib/phil/docs/_build/latex/phil.aux
+++ b/packs_lib/phil/docs/_build/latex/phil.aux
@@ -1,5 +1,6 @@
 \relax 
 \providecommand\hyper@newdestlabel[2]{}
+\@nameuse{bbl@beforestart}
 \providecommand\HyperFirstAtBeginDocument{\AtBeginDocument}
 \HyperFirstAtBeginDocument{\ifx\hyper@anchor\@undefined
 \global\let\oldcontentsline\contentsline
@@ -17,109 +18,100 @@
 \providecommand\HyField@AuxAddToFields[1]{}
 \providecommand\HyField@AuxAddToCoFields[2]{}
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-\@writefile{toc}{\contentsline {chapter}{\numberline {6}Learning}{11}{chapter.6}}
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diff --git a/packs_lib/phil/docs/_build/latex/phil.fdb_latexmk b/packs_lib/phil/docs/_build/latex/phil.fdb_latexmk
index a04538fe69..3465f86252 100644
--- a/packs_lib/phil/docs/_build/latex/phil.fdb_latexmk
+++ b/packs_lib/phil/docs/_build/latex/phil.fdb_latexmk
@@ -1,173 +1,173 @@
 # Fdb version 3
-["makeindex phil.idx"] 1580287447 "phil.idx" "phil.ind" "phil" 1584103483
-  "phil.idx" 1584103482 0 d41d8cd98f00b204e9800998ecf8427e ""
+["makeindex phil.idx"] 1580287447 "phil.idx" "phil.ind" "phil" 1640010453
+  "phil.idx" 1640010448 0 d41d8cd98f00b204e9800998ecf8427e "pdflatex"
   (generated)
   "phil.ilg"
   "phil.ind"
-["pdflatex"] 1584103482 "phil.tex" "phil.pdf" "phil" 1584103483
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-  "/usr/share/texlive/texmf-dist/fonts/map/fontname/texfonts.map" 1511824771 3332 103109f5612ad95229751940c61aada0 ""
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-  "/usr/share/texlive/texmf-dist/fonts/tfm/adobe/courier/pcrr8r.tfm" 1480098688 1292 bd42be2f344128bff6d35d98474adfe3 ""
-  "/usr/share/texlive/texmf-dist/fonts/tfm/adobe/courier/pcrr8t.tfm" 1480098688 1384 4632f5e54900a7dadbb83f555bc61e56 ""
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 INPUT /usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii
 INPUT /usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii
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-INPUT /usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty
-INPUT /usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty
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 INPUT /usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg
 INPUT /usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty
 INPUT /usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty
-INPUT /usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty
-INPUT /usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty
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+INPUT /usr/share/texlive/texmf-dist/tex/latex/refcount/refcount.sty
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+INPUT /usr/share/texlive/texmf-dist/tex/generic/gettitlestring/gettitlestring.sty
 INPUT phil.out
 INPUT phil.out
 INPUT phil.out
@@ -257,9 +256,6 @@ INPUT /usr/share/texlive/texmf-dist/fonts/vf/adobe/times/ptmr8t.vf
 INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/times/ptmr8r.tfm
 INPUT /usr/share/texlive/texmf-dist/fonts/vf/adobe/helvetic/phvb8t.vf
 INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/helvetic/phvb8r.tfm
-INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/times/ptmri8t.tfm
-INPUT /usr/share/texlive/texmf-dist/fonts/vf/adobe/times/ptmri8t.vf
-INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/times/ptmri8r.tfm
 INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/times/ptmr8t.tfm
 INPUT /usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd
 INPUT /usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd
@@ -268,12 +264,18 @@ INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/courier/pcrr8t.tfm
 INPUT /usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd
 INPUT /usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd
 INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/times/ptmr8c.tfm
+INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/times/ptmri8t.tfm
+INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/times/ptmr8t.tfm
 INPUT /usr/share/texlive/texmf-dist/fonts/vf/adobe/courier/pcrr8t.vf
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 INPUT /usr/share/texlive/texmf-dist/fonts/vf/adobe/times/ptmr8c.vf
+INPUT /usr/share/texlive/texmf-dist/fonts/vf/adobe/times/ptmri8t.vf
+INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/times/ptmri8r.tfm
 INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/courier/pcrr8t.tfm
 INPUT /usr/share/texlive/texmf-dist/fonts/vf/adobe/courier/pcrr8t.vf
 INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/courier/pcrr8r.tfm
+INPUT /usr/share/texlive/texmf-dist/fonts/vf/adobe/times/ptmr8t.vf
+INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/times/ptmr8r.tfm
 INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/times/ptmr8t.tfm
 INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/helvetic/phvr8t.tfm
 INPUT /usr/share/texlive/texmf-dist/fonts/tfm/adobe/courier/pcrb8t.tfm
diff --git a/packs_lib/phil/docs/_build/latex/phil.log b/packs_lib/phil/docs/_build/latex/phil.log
index 8f83de6d45..46b6864939 100644
--- a/packs_lib/phil/docs/_build/latex/phil.log
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@@ -1,698 +1,277 @@
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-)
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-   defining Unicode char U+00A7 (decimal 167)
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-))
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    defining Unicode char U+2572 (decimal 9586)
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 Chapter 1.
 
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 \T1/ptm/m/n/10 phil is a suite of pro-grams for rea-son-ing with hi-er-ar-chi-c
 al prob-a-bilis-tic logic pro-grams (HPLP)
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 Chapter 2.
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diff --git a/packs_lib/phil/docs/_build/latex/phil.tex b/packs_lib/phil/docs/_build/latex/phil.tex
index b00d55896f..e381b6ca45 100644
--- a/packs_lib/phil/docs/_build/latex/phil.tex
+++ b/packs_lib/phil/docs/_build/latex/phil.tex
@@ -5,23 +5,17 @@
    \let\sphinxpxdimen\pdfpxdimen\else\newdimen\sphinxpxdimen
 \fi \sphinxpxdimen=.75bp\relax
 
+\PassOptionsToPackage{warn}{textcomp}
 \usepackage[utf8]{inputenc}
 \ifdefined\DeclareUnicodeCharacter
- \ifdefined\DeclareUnicodeCharacterAsOptional
-  \DeclareUnicodeCharacter{"00A0}{\nobreakspace}
-  \DeclareUnicodeCharacter{"2500}{\sphinxunichar{2500}}
-  \DeclareUnicodeCharacter{"2502}{\sphinxunichar{2502}}
-  \DeclareUnicodeCharacter{"2514}{\sphinxunichar{2514}}
-  \DeclareUnicodeCharacter{"251C}{\sphinxunichar{251C}}
-  \DeclareUnicodeCharacter{"2572}{\textbackslash}
- \else
-  \DeclareUnicodeCharacter{00A0}{\nobreakspace}
-  \DeclareUnicodeCharacter{2500}{\sphinxunichar{2500}}
-  \DeclareUnicodeCharacter{2502}{\sphinxunichar{2502}}
-  \DeclareUnicodeCharacter{2514}{\sphinxunichar{2514}}
-  \DeclareUnicodeCharacter{251C}{\sphinxunichar{251C}}
-  \DeclareUnicodeCharacter{2572}{\textbackslash}
- \fi
+% support both utf8 and utf8x syntaxes
+\edef\sphinxdqmaybe{\ifdefined\DeclareUnicodeCharacterAsOptional\string"\fi}
+  \DeclareUnicodeCharacter{\sphinxdqmaybe00A0}{\nobreakspace}
+  \DeclareUnicodeCharacter{\sphinxdqmaybe2500}{\sphinxunichar{2500}}
+  \DeclareUnicodeCharacter{\sphinxdqmaybe2502}{\sphinxunichar{2502}}
+  \DeclareUnicodeCharacter{\sphinxdqmaybe2514}{\sphinxunichar{2514}}
+  \DeclareUnicodeCharacter{\sphinxdqmaybe251C}{\sphinxunichar{251C}}
+  \DeclareUnicodeCharacter{\sphinxdqmaybe2572}{\textbackslash}
 \fi
 \usepackage{cmap}
 \usepackage[T1]{fontenc}
@@ -29,8 +23,9 @@
 \usepackage{babel}
 \usepackage{times}
 \usepackage[Bjarne]{fncychap}
-\usepackage[dontkeepoldnames]{sphinx}
+\usepackage{sphinx}
 
+\fvset{fontsize=\small}
 \usepackage{geometry}
 
 % Include hyperref last.
@@ -40,12 +35,21 @@
 % Set up styles of URL: it should be placed after hyperref.
 \urlstyle{same}
 
-\addto\captionsenglish{\renewcommand{\figurename}{Fig.}}
-\addto\captionsenglish{\renewcommand{\tablename}{Table}}
+\addto\captionsenglish{\renewcommand{\figurename}{Fig.\@ }}
+\makeatletter
+\def\fnum@figure{\figurename\thefigure{}}
+\makeatother
+\addto\captionsenglish{\renewcommand{\tablename}{Table }}
+\makeatletter
+\def\fnum@table{\tablename\thetable{}}
+\makeatother
 \addto\captionsenglish{\renewcommand{\literalblockname}{Listing}}
 
 \addto\captionsenglish{\renewcommand{\literalblockcontinuedname}{continued from previous page}}
 \addto\captionsenglish{\renewcommand{\literalblockcontinuesname}{continues on next page}}
+\addto\captionsenglish{\renewcommand{\sphinxnonalphabeticalgroupname}{Non-alphabetical}}
+\addto\captionsenglish{\renewcommand{\sphinxsymbolsname}{Symbols}}
+\addto\captionsenglish{\renewcommand{\sphinxnumbersname}{Numbers}}
 
 \addto\extrasenglish{\def\pageautorefname{page}}
 
@@ -54,24 +58,26 @@
 
 
 \title{phil Documentation}
-\date{Mar 13, 2020}
+\date{Dec 20, 2021}
 \release{1.0.0}
 \author{Arnaud Nguembang Fadja, Fabrizio Riguzzi}
 \newcommand{\sphinxlogo}{\vbox{}}
 \renewcommand{\releasename}{Release}
 \makeindex
-
 \begin{document}
 
-\maketitle
+\pagestyle{empty}
+\sphinxmaketitle
+\pagestyle{plain}
 \sphinxtableofcontents
+\pagestyle{normal}
 \phantomsection\label{\detokenize{index::doc}}
 
 
 
 \chapter{Introduction}
-\label{\detokenize{index:introduction}}\label{\detokenize{index:phil-on-swish-manual-swi-prolog-version}}
-phil is a suite of programs for reasoning with hierarchical probabilistic logic programs (HPLP) \phantomsection\label{\detokenize{index:id1}}{\hyperref[\detokenize{index:ngulamrig17-plp-iw}]{\sphinxcrossref{{[}NguembangFadjaLR17{]}}}}.
+\label{\detokenize{index:introduction}}
+phil is a suite of programs for reasoning with hierarchical probabilistic logic programs (HPLP) \sphinxcite{index:fadja2021learning}\sphinxcite{index:ngulamrig17-plp-iw}.
 It allows both inference and learning. phil is available only for SWI-Prolog.
 
 phil is part of cplint on SWISH web application available at \sphinxurl{http://cplint.eu}.
@@ -82,7 +88,6 @@ \chapter{Installation}
 phil is distributed as a \sphinxhref{http://www.swi-prolog.org/pack/list?p=phil}{pack} of \sphinxhref{http://www.swi-prolog.org/}{SWI-Prolog}.
 To install it, use
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYGZdl{} swipl
 ?\PYGZhy{} pack\PYGZus{}install(phil).
@@ -103,7 +108,6 @@ \section{Requirements}
 
 They are installed automatically when installing pack \sphinxtitleref{phil} or can be installed manually as follows
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYGZdl{} swipl
 ?\PYGZhy{} pack\PYGZus{}install(auc).
@@ -112,7 +116,6 @@ \section{Requirements}
 
 You can upgrade the pack with
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYGZdl{} swipl
 ?\PYGZhy{} pack\PYGZus{}upgrade(phil).
@@ -123,7 +126,6 @@ \section{Requirements}
 
 \section{Example of use}
 \label{\detokenize{index:example-of-use}}
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYGZdl{} cd \PYGZlt{}pack\PYGZgt{}/phil/prolog/examples
 \PYGZdl{} swipl
@@ -134,7 +136,6 @@ \section{Example of use}
 
 \section{Testing the installation}
 \label{\detokenize{index:testing-the-installation}}
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYGZdl{} swipl
 ?\PYGZhy{} [library(phil\PYGZus{}test/test)].
@@ -149,19 +150,17 @@ \section{Datasets}
 
 \chapter{Syntax}
 \label{\detokenize{index:syntax}}
-phil allows the definition of discrete probability distributions. It performs inference, parameter and structure learning on Hierarchical Probabilistic Logic Programs (HPLPs) \phantomsection\label{\detokenize{index:id2}}{\hyperref[\detokenize{index:ngulamrig17-plp-iw}]{\sphinxcrossref{{[}NguembangFadjaLR17{]}}}}.
+phil allows the definition of discrete probability distributions. It performs inference, parameter and structure learning on Hierarchical Probabilistic Logic Programs (HPLPs), see \sphinxcite{index:fadja2021learning}.
 
-HPLPs are restrictions of Logic programs with annotated disjunctions LPADs (\phantomsection\label{\detokenize{index:id3}}{\hyperref[\detokenize{index:venver03-tr}]{\sphinxcrossref{{[}VV03{]}}}}\phantomsection\label{\detokenize{index:id4}}{\hyperref[\detokenize{index:venver04-iclp04-ic}]{\sphinxcrossref{{[}VVB04{]}}}}). A HPLP is a set of annotated clauses whose head contain a single atom annotated with a probability. For the rest, the usual syntax of Prolog is used.
+HPLPs are restrictions of Logic programs with annotated disjunctions LPADs (\sphinxcite{index:venver03-tr}\sphinxcite{index:venver04-iclp04-ic}). A HPLP is a set of annotated clauses whose head contain a single atom annotated with a probability. For the rest, the usual syntax of Prolog is used.
 A general HPLP clause has the following form:
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{h}\PYG{p}{:}\PYG{n}{p}\PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{BodyInput}\PYG{p}{,} \PYG{n}{b1}\PYG{p}{,}\PYG{n}{b2}\PYG{o}{.}\PYG{o}{.}\PYG{o}{.}\PYG{p}{,}\PYG{n}{bn}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-where \sphinxcode{BodyInput} is a conjunction of predicates called input predicates, that are defined by certain facts and rules, and the \sphinxcode{bi} are predicates non explicitly defined in the data called hidden predicates. Each hidden predicate is described by a set of clauses in a level immediately bellow. e.g \sphinxcode{b1} can be described as follows:
+where \sphinxcode{\sphinxupquote{BodyInput}} is a conjunction of predicates called input predicates, that are defined by certain facts and rules, and the \sphinxcode{\sphinxupquote{bi}} are predicates non explicitly defined in the data called hidden predicates. Each hidden predicate is described by a set of clauses in a level immediately bellow. e.g \sphinxcode{\sphinxupquote{b1}} can be described as follows:
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{b1}\PYG{p}{:}\PYG{n}{p1\PYGZus{}1}\PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{BodyInput1}\PYG{p}{,} \PYG{n}{b1\PYGZus{}11}\PYG{p}{,}\PYG{n}{b1\PYGZus{}12}\PYG{o}{.}\PYG{o}{.}\PYG{o}{.}\PYG{p}{,}\PYG{n}{b1\PYGZus{}1m}\PYG{o}{.}
 \PYG{n}{b1}\PYG{p}{:}\PYG{n}{p1\PYGZus{}2}\PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{BodyInput2}\PYG{p}{,} \PYG{n}{b1\PYGZus{}21}\PYG{p}{,}\PYG{n}{b1\PYGZus{}22}\PYG{o}{.}\PYG{o}{.}\PYG{o}{.}\PYG{p}{,}\PYG{n}{b1\PYGZus{}2m}\PYG{o}{.}
@@ -170,12 +169,11 @@ \chapter{Syntax}
 \PYG{n}{b1}\PYG{p}{:}\PYG{n}{p1\PYGZus{}k}\PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{BodyInputk}\PYG{p}{,} \PYG{n}{b1\PYGZus{}k1}\PYG{p}{,}\PYG{n}{b1\PYGZus{}k2}\PYG{o}{.}\PYG{o}{.}\PYG{o}{.}\PYG{p}{,}\PYG{n}{b1\PYGZus{}km}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-Each \sphinxcode{b1\_ij} is also described by a set clauses in the layer immediately bellow. This creates an hierarchy among predicates and clauses. Programs having this structure are called hierarchical probabilistic logic programs. The predicate in the head of clauses in the first layer is called \sphinxcode{target} or \sphinxcode{output} predicate which is the predicate we are interested in predicting.
-The \sphinxcode{p1\_i} are numeric expressions representing probabilities.
-It is up to the user to ensure that their are legal, i.e. they are greater than zero and less than one. The first clause above states that if the conjunction of the input and the hidden predicates in the body is true, then the head is true is true with probability \sphinxcode{p} otherwise, the head is false with probability \sphinxcode{1-p}.  Note that, hidden predicates in the body of clauses in the programs are all different.
+Each \sphinxcode{\sphinxupquote{b1\_ij}} is also described by a set clauses in the layer immediately bellow. This creates an hierarchy among predicates and clauses. Programs having this structure are called hierarchical probabilistic logic programs. The predicate in the head of clauses in the first layer is called \sphinxcode{\sphinxupquote{target}} or \sphinxcode{\sphinxupquote{output}} predicate which is the predicate we are interested in predicting.
+The \sphinxcode{\sphinxupquote{p1\_i}} are numeric expressions representing probabilities.
+It is up to the user to ensure that their are legal, i.e. they are greater than zero and less than one. The first clause above states that if the conjunction of the input and the hidden predicates in the body is true, then the head is true is true with probability \sphinxcode{\sphinxupquote{p}} otherwise, the head is false with probability \sphinxcode{\sphinxupquote{1-p}}.  Note that, hidden predicates in the body of clauses in the programs are all different.
 If the clause has an empty body, it can be represented like this:
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{h}\PYG{p}{:}\PYG{n}{p}\PYG{o}{.}
 \end{sphinxVerbatim}
@@ -183,21 +181,18 @@ \chapter{Syntax}
 If the clause is annotated with probability 1, the annotation can be omitted and the clause takes
 the form of a normal prolog clause, i.e.:
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{h} \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{Body}\PYG{o}{.}
 \end{sphinxVerbatim}
 
 stands for:
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{h}\PYG{p}{:}\PYG{l+m+mi}{1} \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{Body}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-The following example inspired from the UWCSE dataset used in \phantomsection\label{\detokenize{index:id5}}{\hyperref[\detokenize{index:kok2005learning}]{\sphinxcrossref{{[}KD05{]}}}} is represented as (file \sphinxhref{http://cplint.eu/e/phil/uwcse.pl}{uwcse.pl})
+The following example inspired from the UWCSE dataset used in \sphinxcite{index:kok2005learning} is represented as (file \sphinxhref{http://cplint.eu/e/phil/uwcse.pl}{uwcse.pl})
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{advisedby}\PYG{p}{(}\PYG{n}{A}\PYG{p}{,}\PYG{n}{B}\PYG{p}{)}\PYG{p}{:}\PYG{l+m+mf}{0.3} \PYG{p}{:}\PYG{o}{\PYGZhy{}}\PYG{n}{student}\PYG{p}{(}\PYG{n}{A}\PYG{p}{)}\PYG{p}{,}\PYG{n}{professor}\PYG{p}{(}\PYG{n}{B}\PYG{p}{)}\PYG{p}{,}\PYG{n}{project}\PYG{p}{(}\PYG{n}{A}\PYG{p}{,}\PYG{n}{C}\PYG{p}{)}\PYG{p}{,}\PYG{n}{project}\PYG{p}{(}\PYG{n}{B}\PYG{p}{,}\PYG{n}{C}\PYG{p}{)}\PYG{p}{,}\PYG{n}{hid\PYGZus{}1}\PYG{p}{(}\PYG{n}{A}\PYG{p}{,}\PYG{n}{B}\PYG{p}{,}\PYG{n}{C}\PYG{p}{)}\PYG{o}{.}
 \PYG{n}{advisedby}\PYG{p}{(}\PYG{n}{A}\PYG{p}{,}\PYG{n}{B}\PYG{p}{)}\PYG{p}{:}\PYG{l+m+mf}{0.6} \PYG{p}{:}\PYG{o}{\PYGZhy{}}\PYG{n}{student}\PYG{p}{(}\PYG{n}{A}\PYG{p}{)}\PYG{p}{,}\PYG{n}{professor}\PYG{p}{(}\PYG{n}{B}\PYG{p}{)}\PYG{p}{,}\PYG{n}{ta}\PYG{p}{(}\PYG{n}{C}\PYG{p}{,}\PYG{n}{A}\PYG{p}{)}\PYG{p}{,}\PYG{n}{taughtby}\PYG{p}{(}\PYG{n}{C}\PYG{p}{,}\PYG{n}{B}\PYG{p}{)}\PYG{o}{.}
@@ -230,17 +225,16 @@ \chapter{Semantics}
 The probability of a world is the product of the probabilities associated to the heads of each selected ground clause.
 The probability of a ground atom (the query) is given by the sum of the probabilities of the worlds where the query is true.
 
-If the HPLP contains function symbols, the definition is more complex, see \phantomsection\label{\detokenize{index:id6}}{\hyperref[\detokenize{index:dblp-journals-ai-poole97}]{\sphinxcrossref{{[}Poo97{]}}}}\phantomsection\label{\detokenize{index:id7}}{\hyperref[\detokenize{index:dblp-journals-jair-satok01}]{\sphinxcrossref{{[}SK01{]}}}}.
+If the HPLP contains function symbols, the definition is more complex, see \sphinxcite{index:dblp-journals-ai-poole97}\sphinxcite{index:dblp-journals-jair-satok01}.
 
 
 \chapter{Inference}
 \label{\detokenize{index:inference}}
-phil answers queries using the module phil. It performs exact inference using a program transformation technique.  Each program is converted to a set of arithmetic circuits (ACs) or deep neural networks using a modified version of PITA \phantomsection\label{\detokenize{index:id8}}{\hyperref[\detokenize{index:rig14-cj-ij}]{\sphinxcrossref{{[}Rig14{]}}}} with tabling and answer subsumption \phantomsection\label{\detokenize{index:id9}}{\hyperref[\detokenize{index:rigswi10-iclp10-ic}]{\sphinxcrossref{{[}RS10{]}}}} as described in \phantomsection\label{\detokenize{index:id10}}{\hyperref[\detokenize{index:ngulamrig17-plp-iw}]{\sphinxcrossref{{[}NguembangFadjaLR17{]}}}}.
+phil answers queries using the module phil. It performs exact inference using a program transformation technique.  Each program is converted to a set of arithmetic circuits (ACs) or deep neural networks using a modified version of PITA \sphinxcite{index:rig14-cj-ij} with tabling and answer subsumption \sphinxcite{index:rigswi10-iclp10-ic} as described in \sphinxcite{index:fadja2021learning}\sphinxcite{index:ngulamrig17-plp-iw}.
 
-For answering queries, you have to prepare a Prolog file where you first load the inference module \sphinxcode{phil}, initialize it with the directive \sphinxcode{:- phil} and then enclose the hierarchical program clauses in \sphinxcode{:-begin\_in.} and \sphinxcode{:-end\_in.} or enclose the clauses in \sphinxcode{in({[}\textless{}clauses\textgreater{}{]})}.
-For example, the uwcse program above can be stored in \sphinxhref{http://cplint.eu/e/phil/uwcse.pl}{uwcse.pl} for performing inference with \sphinxcode{phil} as follows
+For answering queries, you have to prepare a Prolog file where you first load the inference module \sphinxcode{\sphinxupquote{phil}}, initialize it with the directive \sphinxcode{\sphinxupquote{:- phil}} and then enclose the hierarchical program clauses in \sphinxcode{\sphinxupquote{:-begin\_in.}} and \sphinxcode{\sphinxupquote{:-end\_in.}} or enclose the clauses in \sphinxcode{\sphinxupquote{in({[}\textless{}clauses\textgreater{}{]})}}.
+For example, the uwcse program above can be stored in \sphinxhref{http://cplint.eu/e/phil/uwcse.pl}{uwcse.pl} for performing inference with \sphinxcode{\sphinxupquote{phil}} as follows
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{use\PYGZus{}module}\PYG{p}{(}\PYG{n}{library}\PYG{p}{(}\PYG{n}{phil}\PYG{p}{)}\PYG{p}{)}\PYG{o}{.}
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{phil}\PYG{o}{.}
@@ -264,38 +258,34 @@ \chapter{Inference}
 \PYG{n}{end}\PYG{p}{(}\PYG{n}{model}\PYG{p}{(}\PYG{n}{ai}\PYG{p}{)}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-You can also have (non-probabilistic) clauses outside \sphinxcode{:-begin/end\_in.} which can be enclosed in \sphinxcode{bg(\textless{}list of terms representing clauses\textgreater{}).}
+You can also have (non-probabilistic) clauses outside \sphinxcode{\sphinxupquote{:-begin/end\_in.}} which can be enclosed in \sphinxcode{\sphinxupquote{bg(\textless{}list of terms representing clauses\textgreater{}).}}
 These are considered as database clauses.
 
 To run a query, you can simply load the Prolog file, for example \sphinxhref{http://cplint.eu/e/phil/uwcse.pl}{uwcse.pl}, as:
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 ?\PYGZhy{} [uwcse].
 \end{sphinxVerbatim}
 
 or:
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYGZdl{} swipl uwcse.pl
 \end{sphinxVerbatim}
 
 and run the query:
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 ?\PYGZhy{} inference\PYGZus{}hplp(advisedby(harry,ben),ai,Prob).
 \end{sphinxVerbatim}
 
-where \sphinxcode{advisedby(harry,ben)} is the atom for the target predicate, \sphinxcode{ai} the interpretation or the model where the query is run and \sphinxcode{Prob} stores the computed probability. For also generating the arithmetic circuit, run the query:
+where \sphinxcode{\sphinxupquote{advisedby(harry,ben)}} is the atom for the target predicate, \sphinxcode{\sphinxupquote{ai}} the interpretation or the model where the query is run and \sphinxcode{\sphinxupquote{Prob}} stores the computed probability. For also generating the arithmetic circuit, run the query:
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 ?\PYGZhy{} inference\PYGZus{}hplp(advisedby(harry,ben),ai,Prob,Circuit).
 \end{sphinxVerbatim}
 
-where \sphinxcode{Circuit} stores the arithmetic circuit as a Prolog term.
+where \sphinxcode{\sphinxupquote{Circuit}} stores the arithmetic circuit as a Prolog term.
 
 
 \chapter{Learning}
@@ -306,10 +296,10 @@ \chapter{Learning}
 PHIL for Parameter learning for HIerarchical probabilistic Logic programs. Given an input HPLP, PHIL learns its parameters from data. Two versions of PHIL are implemented:
 \begin{itemize}
 \item {} 
-DPHIL (Deep PHIL) \phantomsection\label{\detokenize{index:id11}}{\hyperref[\detokenize{index:nguriglam18-plp-iw}]{\sphinxcrossref{{[}NFRL18b{]}}}} performs gradient descent over the ACs. Two regularizations of DPHIL are implemented: L1 and L2 regularizations as used in the deep learning community.
+DPHIL (Deep PHIL) \sphinxcite{index:nguriglam18-plp-iw} performs gradient descent over the ACs. Two regularizations of DPHIL are implemented: L1 and L2 regularizations as used in the deep learning community.
 
 \item {} 
-EMPHIL (Expectation Maximization PHIL) \phantomsection\label{\detokenize{index:id12}}{\hyperref[\detokenize{index:fadja2018expectation}]{\sphinxcrossref{{[}NFRL18a{]}}}} performs EM. Three regularizations of EMPHIL are implemented: besides the previous two regularizations, a regularization based on Bayesian update of the parameters is also implemented.
+EMPHIL (Expectation Maximization PHIL) \sphinxcite{index:fadja2018expectation} performs EM. Three regularizations of EMPHIL are implemented: besides the previous two regularizations, a regularization based on Bayesian update of the parameters is also implemented.
 
 \end{itemize}
 
@@ -342,28 +332,25 @@ \section{Input}
 
 The preamble must come first, the order of the other parts can be changed.
 
-For example, consider the Bongard problems of \phantomsection\label{\detokenize{index:id13}}{\hyperref[\detokenize{index:raelae95-alt95}]{\sphinxcrossref{{[}DRVL95{]}}}}. \sphinxhref{http://cplint.eu/e/phil/bongard.pl}{bongard.pl} and \sphinxhref{http://cplint.eu/e/phil/bongardkeys.pl}{bongardkeys.pl} represent a Bongard problem for SLEAHP.
+For example, consider the Bongard problems of \sphinxcite{index:raelae95-alt95}. \sphinxhref{http://cplint.eu/e/phil/bongard.pl}{bongard.pl} and \sphinxhref{http://cplint.eu/e/phil/bongardkeys.pl}{bongardkeys.pl} represent a Bongard problem for SLEAHP.
 
 
 \subsection{Preamble}
 \label{\detokenize{index:preamble}}
 In the preamble, the PHIL library is loaded with (\sphinxhref{http://cplint.eu/e/phil/bongard.pl}{bongard.pl}):
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{use\PYGZus{}module}\PYG{p}{(}\PYG{n}{library}\PYG{p}{(}\PYG{n}{phil}\PYG{p}{)}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
 Now you can initialize  with
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{phil}\PYG{o}{.}
 \end{sphinxVerbatim}
 
 At this point you can start setting parameters for SLEAHP such as for example
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{set\PYGZus{}hplp}\PYG{p}{(}\PYG{n}{megaex\PYGZus{}bottom}\PYG{p}{,}\PYG{l+m+mi}{10}\PYG{p}{)}\PYG{o}{.}
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{set\PYGZus{}hplp}\PYG{p}{(}\PYG{n}{rate}\PYG{p}{,}\PYG{l+m+mf}{0.95}\PYG{p}{)}\PYG{o}{.}
@@ -379,26 +366,23 @@ \subsection{Background and Initial hierarchical program}
 \label{\detokenize{index:background-and-initial-hierarchical-program}}
 Now you can specify the background knowledge with a fact of the form
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{bg}\PYG{p}{(}\PYG{o}{\PYGZlt{}}\PYG{n+nb}{list} \PYG{n}{of} \PYG{n}{terms} \PYG{n}{representing} \PYG{n}{clauses}\PYG{o}{\PYGZgt{}}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
 where the clauses must be deterministic.
-Alternatively, you can specify a set of clauses by including them in a section between \sphinxcode{:- begin\_bg.} and \sphinxcode{:- end\_bg.}
+Alternatively, you can specify a set of clauses by including them in a section between \sphinxcode{\sphinxupquote{:- begin\_bg.}} and \sphinxcode{\sphinxupquote{:- end\_bg.}}
 Moreover, you can specify an initial program with a fact of the form
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{o+ow}{in}\PYG{p}{(}\PYG{o}{\PYGZlt{}}\PYG{n+nb}{list} \PYG{n}{of} \PYG{n}{terms} \PYG{n}{representing} \PYG{n}{clauses}\PYG{o}{\PYGZgt{}}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
 The initial program is used in parameter learning for providing the structure.
-Remember to enclose each clause in parentheses because \sphinxcode{:-} has the highest precedence.
+Remember to enclose each clause in parentheses because \sphinxcode{\sphinxupquote{:-}} has the highest precedence.
 
 For example, \sphinxhref{http://cplint.eu/e/bongard.pl}{bongard.pl} has the initial program
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{o+ow}{in}\PYG{p}{(}\PYG{p}{[}\PYG{p}{(}\PYG{n}{pos}\PYG{p}{:}\PYG{l+m+mf}{0.197575} \PYG{p}{:}\PYG{o}{\PYGZhy{}}
    \PYG{n}{circle}\PYG{p}{(}\PYG{n}{A}\PYG{p}{)}\PYG{p}{,}
@@ -411,9 +395,8 @@ \subsection{Background and Initial hierarchical program}
    \PYG{n}{circle}\PYG{p}{(}\PYG{n}{B}\PYG{p}{)}\PYG{p}{)}\PYG{p}{]}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-Alternatively, you can specify an input program in a section between \sphinxcode{:- begin\_in.} and \sphinxcode{:- end\_in.} as for example
+Alternatively, you can specify an input program in a section between \sphinxcode{\sphinxupquote{:- begin\_in.}} and \sphinxcode{\sphinxupquote{:- end\_in.}} as for example
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{begin\PYGZus{}in}\PYG{o}{.}
 
@@ -430,7 +413,7 @@ \subsection{Background and Initial hierarchical program}
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{end\PYGZus{}in}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-If you specify both a \sphinxcode{in/1} fact and a section, the clauses of the two will be combined.
+If you specify both a \sphinxcode{\sphinxupquote{in/1}} fact and a section, the clauses of the two will be combined.
 
 The annotations of the head atoms of the initial program can be probabilities, as in the example above. In parameter learning, the learning procedure can start with the initial parameters in the program. In this case, it is up to the user to ensure that there are values between 0 and 1. In the case of structure learning, the initial program is not necessary.
 
@@ -440,7 +423,6 @@ \subsection{Language Bias}
 The language bias part contains the declarations of the input and output predicates. Note that the hidden predicates are not declared since there are automatically generated.
 The output predicate is declared as
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{output}\PYG{p}{(}\PYG{o}{\PYGZlt{}}\PYG{n}{predicate}\PYG{o}{\PYGZgt{}}\PYG{o}{/}\PYG{o}{\PYGZlt{}}\PYG{n}{arity}\PYG{o}{\PYGZgt{}}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
@@ -450,7 +432,6 @@ \subsection{Language Bias}
 Input predicates are those whose atoms you are not interested in predicting.
 You can declare input predicates with
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n+nb}{input}\PYG{p}{(}\PYG{o}{\PYGZlt{}}\PYG{n}{predicate}\PYG{o}{\PYGZgt{}}\PYG{o}{/}\PYG{o}{\PYGZlt{}}\PYG{n}{arity}\PYG{o}{\PYGZgt{}}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
@@ -459,58 +440,51 @@ \subsection{Language Bias}
 
 Then, for structure learning you have to specify the language bias by means of mode declarations in the style of \sphinxhref{https://www.doc.ic.ac.uk/~shm/progol.html}{Progol}.
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{modeh}\PYG{p}{(}\PYG{o}{\PYGZlt{}}\PYG{n}{recall}\PYG{o}{\PYGZgt{}}\PYG{p}{,}\PYG{o}{\PYGZlt{}}\PYG{n}{predicate}\PYG{o}{\PYGZgt{}}\PYG{p}{(}\PYG{o}{\PYGZlt{}}\PYG{n}{arg1}\PYG{o}{\PYGZgt{}}\PYG{p}{,}\PYG{o}{.}\PYG{o}{.}\PYG{o}{.}\PYG{p}{)}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
 specifies the atoms that can appear in the head of clauses. In hierarchical programs only the ouput and the hidden predicates can appear in the head of clauses.
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{modeb}\PYG{p}{(}\PYG{o}{\PYGZlt{}}\PYG{n}{recall}\PYG{o}{\PYGZgt{}}\PYG{p}{,}\PYG{o}{\PYGZlt{}}\PYG{n}{predicate}\PYG{o}{\PYGZgt{}}\PYG{p}{(}\PYG{o}{\PYGZlt{}}\PYG{n}{arg1}\PYG{o}{\PYGZgt{}}\PYG{p}{,}\PYG{o}{.}\PYG{o}{.}\PYG{o}{.}\PYG{p}{)}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-specifies the atoms that can appear in the body of clauses. \sphinxcode{\textless{}recall\textgreater{}} can be an integer or \sphinxcode{*}. \sphinxcode{\textless{}recall\textgreater{}} indicates how many atoms for the predicate specification are retained in the bottom clause during a saturation step. \sphinxcode{*} stands for all those that are found.
+specifies the atoms that can appear in the body of clauses. \sphinxcode{\sphinxupquote{\textless{}recall\textgreater{}}} can be an integer or \sphinxcode{\sphinxupquote{*}}. \sphinxcode{\sphinxupquote{\textless{}recall\textgreater{}}} indicates how many atoms for the predicate specification are retained in the bottom clause during a saturation step. \sphinxcode{\sphinxupquote{*}} stands for all those that are found.
 Otherwise the indicated number of atoms are randomly chosen.
 
 Arguments of the form
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{o}{+}\PYG{o}{\PYGZlt{}}\PYG{n+nb}{type}\PYG{o}{\PYGZgt{}}
 \end{sphinxVerbatim}
 
-specifies that the argument should be an input variable of type \sphinxcode{\textless{}type\textgreater{}}, i.e., a variable replacing a \sphinxcode{+\textless{}type\textgreater{}} argument in the head or a \sphinxcode{-\textless{}type\textgreater{}} argument in a preceding literal in the current hypothesized clause.
+specifies that the argument should be an input variable of type \sphinxcode{\sphinxupquote{\textless{}type\textgreater{}}}, i.e., a variable replacing a \sphinxcode{\sphinxupquote{+\textless{}type\textgreater{}}} argument in the head or a \sphinxcode{\sphinxupquote{-\textless{}type\textgreater{}}} argument in a preceding literal in the current hypothesized clause.
 
 Another argument form is
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{o}{\PYGZhy{}}\PYG{o}{\PYGZlt{}}\PYG{n+nb}{type}\PYG{o}{\PYGZgt{}}
 \end{sphinxVerbatim}
 
-for specifying that the argument should be a output variable of type \sphinxcode{\textless{}type\textgreater{}}.
+for specifying that the argument should be a output variable of type \sphinxcode{\sphinxupquote{\textless{}type\textgreater{}}}.
 Any variable can replace this argument, either input or output.
 The only constraint on output variables is that those in the head of a clause must appear as output variables in an atom in the body.
 
 Other forms are
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{c+c1}{\PYGZsh{}\PYGZlt{}type\PYGZgt{}}
 \end{sphinxVerbatim}
 
-for specifying an argument which should be replaced by a constant of type \sphinxcode{\textless{}type\textgreater{}} in the bottom clause but should not be used for replacing input variables of the following literals when building the bottom clause or
+for specifying an argument which should be replaced by a constant of type \sphinxcode{\sphinxupquote{\textless{}type\textgreater{}}} in the bottom clause but should not be used for replacing input variables of the following literals when building the bottom clause or
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{o}{\PYGZhy{}}\PYG{c+c1}{\PYGZsh{}\PYGZlt{}type\PYGZgt{}}
 \end{sphinxVerbatim}
 
-for specifying an argument which should be replaced by a constant of type \sphinxcode{\textless{}type\textgreater{}} in the bottom clause and that should be used for replacing input variables of the following literals when building the bottom clause.
+for specifying an argument which should be replaced by a constant of type \sphinxcode{\sphinxupquote{\textless{}type\textgreater{}}} in the bottom clause and that should be used for replacing input variables of the following literals when building the bottom clause.
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{o}{\PYGZlt{}}\PYG{n}{constant}\PYG{o}{\PYGZgt{}}
 \end{sphinxVerbatim}
@@ -519,7 +493,6 @@ \subsection{Language Bias}
 
 An example of language bias for the Bongard domain is
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{output}\PYG{p}{(}\PYG{n}{pos}\PYG{o}{/}\PYG{l+m+mi}{0}\PYG{p}{)}\PYG{o}{.}
 
@@ -538,10 +511,9 @@ \subsection{Language Bias}
 \PYG{n}{modeb}\PYG{p}{(}\PYG{o}{*}\PYG{p}{,}\PYG{n}{config}\PYG{p}{(}\PYG{o}{+}\PYG{n}{obj}\PYG{p}{,}\PYG{o}{\PYGZhy{}}\PYG{c+c1}{\PYGZsh{}dir)).}
 \end{sphinxVerbatim}
 
-SLEAHP also requires facts for the \sphinxcode{determination/2} Aleph-style predicate that indicate which predicates can appear in the body of clauses.
+SLEAHP also requires facts for the \sphinxcode{\sphinxupquote{determination/2}} Aleph-style predicate that indicate which predicates can appear in the body of clauses.
 For example
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{determination}\PYG{p}{(}\PYG{n}{pos}\PYG{o}{/}\PYG{l+m+mi}{0}\PYG{p}{,}\PYG{n}{triangle}\PYG{o}{/}\PYG{l+m+mi}{1}\PYG{p}{)}\PYG{o}{.}
 \PYG{n}{determination}\PYG{p}{(}\PYG{n}{pos}\PYG{o}{/}\PYG{l+m+mi}{0}\PYG{p}{,}\PYG{n}{square}\PYG{o}{/}\PYG{l+m+mi}{1}\PYG{p}{)}\PYG{o}{.}
@@ -550,16 +522,15 @@ \subsection{Language Bias}
 \PYG{n}{determination}\PYG{p}{(}\PYG{n}{pos}\PYG{o}{/}\PYG{l+m+mi}{0}\PYG{p}{,}\PYG{n}{config}\PYG{o}{/}\PYG{l+m+mi}{2}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-state that \sphinxcode{triangle/1} can appear in the body of clauses for \sphinxcode{pos/0}.
+state that \sphinxcode{\sphinxupquote{triangle/1}} can appear in the body of clauses for \sphinxcode{\sphinxupquote{pos/0}}.
 
 
 \subsection{Example Interpretations}
 \label{\detokenize{index:example-interpretations}}
 The last part of the file contains the data.
 You can specify data with two modalities: models and keys.
-In the models case, you specify an example model (or interpretation or mega-example) as a list of Prolog facts initiated by \sphinxcode{begin(model(\textless{}name\textgreater{})).} and terminated by \sphinxcode{end(model(\textless{}name\textgreater{})).} as in
+In the models case, you specify an example model (or interpretation or mega-example) as a list of Prolog facts initiated by \sphinxcode{\sphinxupquote{begin(model(\textless{}name\textgreater{})).}} and terminated by \sphinxcode{\sphinxupquote{end(model(\textless{}name\textgreater{})).}} as in
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{begin}\PYG{p}{(}\PYG{n}{model}\PYG{p}{(}\PYG{l+m+mi}{2}\PYG{p}{)}\PYG{p}{)}\PYG{o}{.}
 \PYG{n}{pos}\PYG{o}{.}
@@ -577,13 +548,12 @@ \subsection{Example Interpretations}
 \end{sphinxVerbatim}
 
 The facts in the interpretation are loaded in SWI-Prolog database by adding an extra initial argument equal to the name of the model.
-After each interpretation is loaded, a fact of the form \sphinxcode{int(\textless{}id\textgreater{})} is asserted, where \sphinxcode{id} is the name of the interpretation.
+After each interpretation is loaded, a fact of the form \sphinxcode{\sphinxupquote{int(\textless{}id\textgreater{})}} is asserted, where \sphinxcode{\sphinxupquote{id}} is the name of the interpretation.
 This can be used in order to retrieve the list of interpretations.
 
 Alternatively, with the keys modality, you can directly write the facts and the first argument will be interpreted as a model identifier.
 The above interpretation in the keys modality is
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{pos}\PYG{p}{(}\PYG{l+m+mi}{2}\PYG{p}{)}\PYG{o}{.}
 \PYG{n}{triangle}\PYG{p}{(}\PYG{l+m+mi}{2}\PYG{p}{,}\PYG{n}{o5}\PYG{p}{)}\PYG{o}{.}
@@ -599,14 +569,13 @@ \subsection{Example Interpretations}
 \end{sphinxVerbatim}
 
 which is contained in the \sphinxhref{http://cplint.eu/e/phil/bongardkeys.pl}{bongardkeys.pl}.
-This is also how model \sphinxcode{2} above is stored in SWI-Prolog database.
+This is also how model \sphinxcode{\sphinxupquote{2}} above is stored in SWI-Prolog database.
 The two modalities, models and keys, can be mixed in the same file.
-Facts for \sphinxcode{int/1} are not asserted for interpretations in the key modality but can be added by the user explicitly.
+Facts for \sphinxcode{\sphinxupquote{int/1}} are not asserted for interpretations in the key modality but can be added by the user explicitly.
 
 Note that you can add background knowledge that is not probabilistic directly to the file writing clauses taking into account the model argument.
-For example (\sphinxcode{carc.pl}), available in \sphinxhref{https://github.com/ArnaudFadja/phil\_datasets}{phil\_datasets}, contains
+For example (\sphinxcode{\sphinxupquote{carc.pl}}), available in \sphinxhref{https://github.com/ArnaudFadja/phil\_datasets}{phil\_datasets}, contains
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 connected(\PYGZus{}M,Ring1,Ring2):\PYGZhy{}
         Ring1 \PYGZbs{}= Ring2,
@@ -619,9 +588,8 @@ \subsection{Example Interpretations}
 
 where the first argument of all atoms is the model.
 
-Then you must indicate how examples are divided in folds with facts of the form: \sphinxcode{fold(\textless{}fold\_name\textgreater{},\textless{}list of model identifiers\textgreater{})}, as for example
+Then you must indicate how examples are divided in folds with facts of the form: \sphinxcode{\sphinxupquote{fold(\textless{}fold\_name\textgreater{},\textless{}list of model identifiers\textgreater{})}}, as for example
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{fold}\PYG{p}{(}\PYG{n}{train}\PYG{p}{,}\PYG{p}{[}\PYG{l+m+mi}{2}\PYG{p}{,}\PYG{l+m+mi}{3}\PYG{p}{,}\PYG{o}{.}\PYG{o}{.}\PYG{o}{.}\PYG{p}{]}\PYG{p}{)}\PYG{o}{.}
 \PYG{n}{fold}\PYG{p}{(}\PYG{n}{test}\PYG{p}{,}\PYG{p}{[}\PYG{l+m+mi}{490}\PYG{p}{,}\PYG{l+m+mi}{491}\PYG{p}{,}\PYG{o}{.}\PYG{o}{.}\PYG{o}{.}\PYG{p}{]}\PYG{p}{)}\PYG{o}{.}
@@ -629,15 +597,13 @@ \subsection{Example Interpretations}
 
 As the input file is a Prolog program, you can define intentionally the folds as in
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{fold}\PYG{p}{(}\PYG{n+nb}{all}\PYG{p}{,}\PYG{n}{F}\PYG{p}{)}\PYG{p}{:}\PYG{o}{\PYGZhy{}}
 \PYG{n}{findall}\PYG{p}{(}\PYG{n}{I}\PYG{p}{,}\PYG{n+nb}{int}\PYG{p}{(}\PYG{n}{I}\PYG{p}{)}\PYG{p}{,}\PYG{n}{F}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-\sphinxcode{fold/2} is dynamic so you can also write
+\sphinxcode{\sphinxupquote{fold/2}} is dynamic so you can also write
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{fold}\PYG{p}{(}\PYG{n+nb}{all}\PYG{p}{,}\PYG{n}{F}\PYG{p}{)}\PYG{p}{,}
 \PYG{n}{sample\PYGZus{}hplp}\PYG{p}{(}\PYG{l+m+mi}{4}\PYG{p}{,}\PYG{n}{F}\PYG{p}{,}\PYG{n}{FTr}\PYG{p}{,}\PYG{n}{FTe}\PYG{p}{)}\PYG{p}{,}
@@ -645,9 +611,9 @@ \subsection{Example Interpretations}
 \PYG{k}{assert}\PYG{p}{(}\PYG{n}{fold}\PYG{p}{(}\PYG{n}{rand\PYGZus{}test}\PYG{p}{,}\PYG{n}{FTe}\PYG{p}{)}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-which however must be inserted after the input interpretations otherwise the facts for \sphinxcode{int/1} will not be available and the fold \sphinxcode{all} would be empty.
-This command uses \sphinxcode{sample\_hplp(N,List,Sampled,Rest)} exported from \sphinxcode{phil} that samples \sphinxcode{N} elements from \sphinxcode{List} and returns the sampled elements in \sphinxcode{Sampled} and the rest in \sphinxcode{Rest}.
-If \sphinxcode{List} has \sphinxcode{N} elements or less, \sphinxcode{Sampled} is equal to \sphinxcode{List} and \sphinxcode{Rest} is empty.
+which however must be inserted after the input interpretations otherwise the facts for \sphinxcode{\sphinxupquote{int/1}} will not be available and the fold \sphinxcode{\sphinxupquote{all}} would be empty.
+This command uses \sphinxcode{\sphinxupquote{sample\_hplp(N,List,Sampled,Rest)}} exported from \sphinxcode{\sphinxupquote{phil}} that samples \sphinxcode{\sphinxupquote{N}} elements from \sphinxcode{\sphinxupquote{List}} and returns the sampled elements in \sphinxcode{\sphinxupquote{Sampled}} and the rest in \sphinxcode{\sphinxupquote{Rest}}.
+If \sphinxcode{\sphinxupquote{List}} has \sphinxcode{\sphinxupquote{N}} elements or less, \sphinxcode{\sphinxupquote{Sampled}} is equal to \sphinxcode{\sphinxupquote{List}} and \sphinxcode{\sphinxupquote{Rest}} is empty.
 
 
 \section{Commands}
@@ -657,16 +623,14 @@ \subsection{Parameter Learning}
 \label{\detokenize{index:parameter-learning}}
 To execute PHIL, prepare an input file as indicated above and call
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 ?\PYGZhy{} induce\PYGZus{}hplp\PYGZus{}par(+List\PYGZus{}of\PYGZus{}folds:list,\PYGZhy{}P:list).
 \end{sphinxVerbatim}
 
-where \sphinxcode{\textless{}list of folds\textgreater{}} is a list of the folds for training and \sphinxcode{P} will contain the input program with updated parameters.
+where \sphinxcode{\sphinxupquote{\textless{}list of folds\textgreater{}}} is a list of the folds for training and \sphinxcode{\sphinxupquote{P}} will contain the input program with updated parameters.
 
-For example \sphinxhref{http://cplint.eu/e/phil/bongard.pl}{bongard.pl}, you can perform parameter learning on the \sphinxcode{train} fold with
+For example \sphinxhref{http://cplint.eu/e/phil/bongard.pl}{bongard.pl}, you can perform parameter learning on the \sphinxcode{\sphinxupquote{train}} fold with
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 ?\PYGZhy{} induce\PYGZus{}hplp\PYGZus{}par([train],P).
 \end{sphinxVerbatim}
@@ -676,78 +640,70 @@ \subsection{Structure Learning}
 \label{\detokenize{index:structure-learning}}
 To execute SLEAHP, prepare an input file in the editor panel as indicated above and call
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 ?\PYGZhy{} induce\PYGZus{}hplp(+List\PYGZus{}of\PYGZus{}folds:list,\PYGZhy{}P:list).
 \end{sphinxVerbatim}
 
-where \sphinxcode{List\_of\_folds} is a list of the folds for training and \sphinxcode{P} will contain the learned program.
+where \sphinxcode{\sphinxupquote{List\_of\_folds}} is a list of the folds for training and \sphinxcode{\sphinxupquote{P}} will contain the learned program.
 
-For example \sphinxhref{http://cplint.eu/e/phil/bongard.pl}{bongard.pl}, you can perform structure learning on the \sphinxcode{train} fold with
+For example \sphinxhref{http://cplint.eu/e/phil/bongard.pl}{bongard.pl}, you can perform structure learning on the \sphinxcode{\sphinxupquote{train}} fold with
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 ?\PYGZhy{} induce\PYGZus{}hplp([train],P).
 \end{sphinxVerbatim}
 
-A program can also be tested on a test set with \sphinxcode{test\_hplp/7}  as described below.
+A program can also be tested on a test set with \sphinxcode{\sphinxupquote{test\_hplp/7}}  as described below.
 
-Between two executions of \sphinxcode{induce\_hplp/2} you should exit SWI-Prolog to have a clean database.
+Between two executions of \sphinxcode{\sphinxupquote{induce\_hplp/2}} you should exit SWI-Prolog to have a clean database.
 
 
 \subsection{Testing}
 \label{\detokenize{index:testing}}
 A program can also be tested on a test set in SLEAHP with
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{test\PYGZus{}hplp}\PYG{p}{(}\PYG{o}{+}\PYG{n}{Program}\PYG{p}{:}\PYG{n+nb}{list}\PYG{p}{,}\PYG{o}{+}\PYG{n}{List\PYGZus{}of\PYGZus{}folds}\PYG{p}{:}\PYG{n+nb}{list}\PYG{p}{,}\PYG{o}{\PYGZhy{}}\PYG{n}{LL}\PYG{p}{:}\PYG{n+nb}{float}\PYG{p}{,}\PYG{o}{\PYGZhy{}}\PYG{n}{AUCROC}\PYG{p}{:}\PYG{n+nb}{float}\PYG{p}{,}\PYG{o}{\PYGZhy{}}\PYG{n}{ROC}\PYG{p}{:}\PYG{n+nb}{list}\PYG{p}{,}\PYG{o}{\PYGZhy{}}\PYG{n}{AUCPR}\PYG{p}{:}\PYG{n+nb}{float}\PYG{p}{,}\PYG{o}{\PYGZhy{}}\PYG{n}{PR}\PYG{p}{:}\PYG{n+nb}{list}\PYG{p}{)} \PYG{o+ow}{is} \PYG{n}{det}
 \end{sphinxVerbatim}
 
-where \sphinxcode{Program} is a list of terms representing clauses and \sphinxcode{List\_of\_folds} is a list of folds.
+where \sphinxcode{\sphinxupquote{Program}} is a list of terms representing clauses and \sphinxcode{\sphinxupquote{List\_of\_folds}} is a list of folds.
 
-\sphinxcode{test\_hplp/7} returns the log likelihood of the test examples in \sphinxcode{LL}, the Area Under the ROC curve in \sphinxcode{AUCROC}, a dictionary containing the list of points (in the form of Prolog pairs \sphinxcode{x-y}) of the ROC curve in \sphinxcode{ROC}, the Area Under the PR curve in \sphinxcode{AUCPR}, a dictionary containing the list of points of the PR curve in \sphinxcode{PR}.
+\sphinxcode{\sphinxupquote{test\_hplp/7}} returns the log likelihood of the test examples in \sphinxcode{\sphinxupquote{LL}}, the Area Under the ROC curve in \sphinxcode{\sphinxupquote{AUCROC}}, a dictionary containing the list of points (in the form of Prolog pairs \sphinxcode{\sphinxupquote{x-y}}) of the ROC curve in \sphinxcode{\sphinxupquote{ROC}}, the Area Under the PR curve in \sphinxcode{\sphinxupquote{AUCPR}}, a dictionary containing the list of points of the PR curve in \sphinxcode{\sphinxupquote{PR}}.
 
-Then you can draw the curves in \sphinxcode{phil} using C3.js as follows
+Then you can draw the curves in \sphinxcode{\sphinxupquote{phil}} using C3.js as follows
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{n}{compute\PYGZus{}areas\PYGZus{}diagrams}\PYG{p}{(}\PYG{o}{+}\PYG{n}{ExampleList}\PYG{p}{:}\PYG{n+nb}{list}\PYG{p}{,}\PYG{o}{\PYGZhy{}}\PYG{n}{AUCROC}\PYG{p}{:}\PYG{n+nb}{float}\PYG{p}{,}\PYG{o}{\PYGZhy{}}\PYG{n}{ROC}\PYG{p}{:}\PYG{n+nb}{dict}\PYG{p}{,}\PYG{o}{\PYGZhy{}}\PYG{n}{AUCPR}\PYG{p}{:}\PYG{n+nb}{float}\PYG{p}{,}\PYG{o}{\PYGZhy{}}\PYG{n}{PR}\PYG{p}{:}\PYG{n+nb}{dict}\PYG{p}{)} \PYG{o+ow}{is} \PYG{n}{det}
 \end{sphinxVerbatim}
 
-(from pack \sphinxhref{http://www.swi-prolog.org/pack/list?p=auc}{auc.pl}) that takes as input a list \sphinxcode{ExampleList} of pairs probability-literal.
+(from pack \sphinxhref{http://www.swi-prolog.org/pack/list?p=auc}{auc.pl}) that takes as input a list \sphinxcode{\sphinxupquote{ExampleList}} of pairs probability-literal.
 
-For example, to test on fold \sphinxcode{test} the program learned on fold \sphinxcode{train} you can run the query
+For example, to test on fold \sphinxcode{\sphinxupquote{test}} the program learned on fold \sphinxcode{\sphinxupquote{train}} you can run the query
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 ?\PYGZhy{} induce\PYGZus{}hplp\PYGZus{}par([train],P),
 test\PYGZus{}hplp(P,[test],LL,AUCROC,ROC,AUCPR,PR).
 \end{sphinxVerbatim}
 
-Or you can test the input program on the fold \sphinxcode{test} with
+Or you can test the input program on the fold \sphinxcode{\sphinxupquote{test}} with
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 ?\PYGZhy{} in(P),test\PYGZus{}hplp(P,[test],LL,AUCROC,ROC,AUCPR,PR).
 \end{sphinxVerbatim}
 
-In \sphinxcode{phil} on SWISH, by including
+In \sphinxcode{\sphinxupquote{phil}} on SWISH, by including
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{use\PYGZus{}rendering}\PYG{p}{(}\PYG{n}{c3}\PYG{p}{)}\PYG{o}{.}
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{use\PYGZus{}rendering}\PYG{p}{(}\PYG{n}{lpad}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
 
-in the code before \sphinxcode{:- phil.} the curves will be shown as graphs using C3.js and the output program will be pretty printed.
+in the code before \sphinxcode{\sphinxupquote{:- phil.}} the curves will be shown as graphs using C3.js and the output program will be pretty printed.
 
 
 \section{Hyper-parameters for Learning}
 \label{\detokenize{index:hyper-parameters-for-learning}}
 Hyper-parameters are set with commands of the form
 
-\fvset{hllines={, ,}}%
 \begin{sphinxVerbatim}[commandchars=\\\{\}]
 \PYG{p}{:}\PYG{o}{\PYGZhy{}} \PYG{n}{set\PYGZus{}hplp}\PYG{p}{(}\PYG{o}{\PYGZlt{}}\PYG{n}{parameter}\PYG{o}{\PYGZgt{}}\PYG{p}{,}\PYG{o}{\PYGZlt{}}\PYG{n}{value}\PYG{o}{\PYGZgt{}}\PYG{p}{)}\PYG{o}{.}
 \end{sphinxVerbatim}
@@ -758,61 +714,61 @@ \section{Hyper-parameters for Learning}
 PHIL hyper-parameters
 \begin{itemize}
 \item {} 
-\sphinxcode{algorithmType} (values: \sphinxcode{\{dphil,emphil\}}, default value: \sphinxcode{dphil}): defines the parameter learning algorithm.
+\sphinxcode{\sphinxupquote{algorithmType}} (values: \sphinxcode{\sphinxupquote{\{dphil,emphil\}}}, default value: \sphinxcode{\sphinxupquote{dphil}}): defines the parameter learning algorithm.
 
 \item {} 
-\sphinxcode{maxIter\_phil} (values: integer, default value: 1000): maximum number of iteration of PHIL. If set to -1, no maximum number of iterations is imposed.
+\sphinxcode{\sphinxupquote{maxIter\_phil}} (values: integer, default value: 1000): maximum number of iteration of PHIL. If set to -1, no maximum number of iterations is imposed.
 
 \item {} 
-\sphinxcode{epsilon\_deep} (values: real, default value: 0.0001): if the difference in the log likelihood in two successive PHIL (DPHIL and EMPHIL) iteration is smaller than \sphinxcode{epsilon\_deep}, then PHIL stops.
+\sphinxcode{\sphinxupquote{epsilon\_deep}} (values: real, default value: 0.0001): if the difference in the log likelihood in two successive PHIL (DPHIL and EMPHIL) iteration is smaller than \sphinxcode{\sphinxupquote{epsilon\_deep}}, then PHIL stops.
 
 \item {} 
-\sphinxcode{epsilon\_deep\_fraction} (values: real, default value: 0.00001): if the difference in the log likelihood in two successive PHIL iteration is smaller than \sphinxcode{epsilon\_deep\_fraction*(-current log likelihood)}, then PHIL stops.
+\sphinxcode{\sphinxupquote{epsilon\_deep\_fraction}} (values: real, default value: 0.00001): if the difference in the log likelihood in two successive PHIL iteration is smaller than \sphinxcode{\sphinxupquote{epsilon\_deep\_fraction*(-current log likelihood)}}, then PHIL stops.
 
 \item {} 
-\sphinxcode{seed} (values: seed(integer) or seed(random), default value \sphinxcode{seed(3032)}): seed for the Prolog random functions, see \sphinxhref{http://www.swi-prolog.org/pldoc/man?predicate=set\_random/1}{SWI-Prolog manual} .
+\sphinxcode{\sphinxupquote{seed}} (values: seed(integer) or seed(random), default value \sphinxcode{\sphinxupquote{seed(3032)}}): seed for the Prolog random functions, see \sphinxhref{http://www.swi-prolog.org/pldoc/man?predicate=set\_random/1}{SWI-Prolog manual} .
 
 \item {} 
-\sphinxcode{setSeed} (values: \sphinxcode{\{no,yes\}}, default value: \sphinxcode{no}): if \sphinxcode{yes}, the value of \sphinxcode{c\_seed} is used as seed for randomly initializing the probabilities in PHIL  otherwise the actual clock value is used.
+\sphinxcode{\sphinxupquote{setSeed}} (values: \sphinxcode{\sphinxupquote{\{no,yes\}}}, default value: \sphinxcode{\sphinxupquote{no}}): if \sphinxcode{\sphinxupquote{yes}}, the value of \sphinxcode{\sphinxupquote{c\_seed}} is used as seed for randomly initializing the probabilities in PHIL  otherwise the actual clock value is used.
 
 \item {} 
-\sphinxcode{c\_seed} (values: unsigned integer, default value 21344)): seed for the C random functions if \sphinxcode{setSeed} is set to \sphinxcode{yes}.
+\sphinxcode{\sphinxupquote{c\_seed}} (values: unsigned integer, default value 21344)): seed for the C random functions if \sphinxcode{\sphinxupquote{setSeed}} is set to \sphinxcode{\sphinxupquote{yes}}.
 
 \item {} 
-\sphinxcode{useInitParams} (values: \sphinxcode{\{no,yes\}}, default value: \sphinxcode{no}): if \sphinxcode{yes} the initial parameters during the learning are the ones indicated in the program. Otherwise, the initial parameters are generated randomly using the clock seed.
+\sphinxcode{\sphinxupquote{useInitParams}} (values: \sphinxcode{\sphinxupquote{\{no,yes\}}}, default value: \sphinxcode{\sphinxupquote{no}}): if \sphinxcode{\sphinxupquote{yes}} the initial parameters during the learning are the ones indicated in the program. Otherwise, the initial parameters are generated randomly using the clock seed.
 
 \item {} 
-\sphinxcode{logzero} (values: negative real, default value \(\log(0.000001)\)): value assigned to \(\log(0)\).
+\sphinxcode{\sphinxupquote{logzero}} (values: negative real, default value \(\log(0.000001)\)): value assigned to \(\log(0)\).
 
 \item {} 
-\sphinxcode{zero} (values: real, default value \(0.000001\)): value assigned to \(0\).
+\sphinxcode{\sphinxupquote{zero}} (values: real, default value \(0.000001\)): value assigned to \(0\).
 
 \item {} 
-\sphinxcode{max\_initial\_weight} (values: real number , default value: 0.5): weights in DPHIL are randomly initialized with values in the interval {[}-max\_initial\_weight, max\_initial\_weight{]}.
+\sphinxcode{\sphinxupquote{max\_initial\_weight}} (values: real number , default value: 0.5): weights in DPHIL are randomly initialized with values in the interval {[}-max\_initial\_weight, max\_initial\_weight{]}.
 
 \item {} 
-\sphinxcode{adam\_params} (values: list of four values {[}learningRate, beta1, beta2, epsilon{]}, default value: {[}0.001,0.9,0.999,1e-8{]}): provides Adam’s hyper-parameters.
+\sphinxcode{\sphinxupquote{adam\_params}} (values: list of four values {[}learningRate, beta1, beta2, epsilon{]}, default value: {[}0.001,0.9,0.999,1e-8{]}): provides Adam’s hyper-parameters.
 
 \item {} 
-\sphinxcode{batch\_strategy} (values: \sphinxcode{minibatch(size)}, \sphinxcode{stoch\_minibatch(size)}, \sphinxcode{batch}, default value: \sphinxcode{minibatch(10)}): defines the gradient descent strategy in DPHIL. If set to \sphinxcode{minibatch(size)} the mini batch strategy with batch size \sphinxcode{size} is used i.e at each iteration, \sphinxcode{size} arithmetic circuits (ACs) are used to compute the gradients. If set to \sphinxcode{batch} the whole set of ACs are used to compute the gradients. \sphinxcode{stoch\_minibatch(size)} is a modified version of mini batch in which at each iteration, \sphinxcode{size}  ACs are randomly selected for computing the gradients.
+\sphinxcode{\sphinxupquote{batch\_strategy}} (values: \sphinxcode{\sphinxupquote{minibatch(size)}}, \sphinxcode{\sphinxupquote{stoch\_minibatch(size)}}, \sphinxcode{\sphinxupquote{batch}}, default value: \sphinxcode{\sphinxupquote{minibatch(10)}}): defines the gradient descent strategy in DPHIL. If set to \sphinxcode{\sphinxupquote{minibatch(size)}} the mini batch strategy with batch size \sphinxcode{\sphinxupquote{size}} is used i.e at each iteration, \sphinxcode{\sphinxupquote{size}} arithmetic circuits (ACs) are used to compute the gradients. If set to \sphinxcode{\sphinxupquote{batch}} the whole set of ACs are used to compute the gradients. \sphinxcode{\sphinxupquote{stoch\_minibatch(size)}} is a modified version of mini batch in which at each iteration, \sphinxcode{\sphinxupquote{size}}  ACs are randomly selected for computing the gradients.
 
 \item {} 
-\sphinxcode{saveStatistics} (values: \sphinxcode{\{no,yes\}}, default value: \sphinxcode{no}): if \sphinxcode{yes}, the statistics (evolution of the likelihood and other values) during parameter learning are saved in a folder whose name is the value of \sphinxcode{statistics\_folder} hyper-parameter.
+\sphinxcode{\sphinxupquote{saveStatistics}} (values: \sphinxcode{\sphinxupquote{\{no,yes\}}}, default value: \sphinxcode{\sphinxupquote{no}}): if \sphinxcode{\sphinxupquote{yes}}, the statistics (evolution of the likelihood and other values) during parameter learning are saved in a folder whose name is the value of \sphinxcode{\sphinxupquote{statistics\_folder}} hyper-parameter.
 
 \item {} 
-\sphinxcode{statistics\_folder} (values: string , default value: \sphinxcode{statistics}): folder where to save the statistics if \sphinxcode{saveStatistics} is set to \sphinxcode{yes}.
+\sphinxcode{\sphinxupquote{statistics\_folder}} (values: string , default value: \sphinxcode{\sphinxupquote{statistics}}): folder where to save the statistics if \sphinxcode{\sphinxupquote{saveStatistics}} is set to \sphinxcode{\sphinxupquote{yes}}.
 
 \item {} 
-\sphinxcode{regularized} (values: \sphinxcode{\{no,yes\}} , default value: \sphinxcode{no}): if set to \sphinxcode{yes} regularization is enabled.
+\sphinxcode{\sphinxupquote{regularized}} (values: \sphinxcode{\sphinxupquote{\{no,yes\}}} , default value: \sphinxcode{\sphinxupquote{no}}): if set to \sphinxcode{\sphinxupquote{yes}} regularization is enabled.
 
 \item {} 
-\sphinxcode{regularizationType} (values: integer in \sphinxcode{{[}0,3{]}} , default value: \sphinxcode{0}):  \sphinxcode{0} to disable regularization, \sphinxcode{1}, \sphinxcode{2} and \sphinxcode{3} for L1, L2 and Bayesian regularization respectively.
+\sphinxcode{\sphinxupquote{regularizationType}} (values: integer in \sphinxcode{\sphinxupquote{{[}0,3{]}}} , default value: \sphinxcode{\sphinxupquote{0}}):  \sphinxcode{\sphinxupquote{0}} to disable regularization, \sphinxcode{\sphinxupquote{1}}, \sphinxcode{\sphinxupquote{2}} and \sphinxcode{\sphinxupquote{3}} for L1, L2 and Bayesian regularization respectively.
 
 \item {} 
-\sphinxcode{gamma} (values: real number, default value: \sphinxcode{10}): regularization coefficient for L1 and L2. Is equal to the Dirichlet coefficient \sphinxcode{a} for Bayesian regularization.
+\sphinxcode{\sphinxupquote{gamma}} (values: real number, default value: \sphinxcode{\sphinxupquote{10}}): regularization coefficient for L1 and L2. Is equal to the Dirichlet coefficient \sphinxcode{\sphinxupquote{a}} for Bayesian regularization.
 
 \item {} 
-\sphinxcode{gammaCount} (values:real number , default value: 0): Dirichlet coefficient \sphinxcode{b} for Bayesian regularization and typically 0 for L1 and l2 regularization.
+\sphinxcode{\sphinxupquote{gammaCount}} (values:real number , default value: 0): Dirichlet coefficient \sphinxcode{\sphinxupquote{b}} for Bayesian regularization and typically 0 for L1 and l2 regularization.
 
 \end{itemize}
 
@@ -820,40 +776,40 @@ \section{Hyper-parameters for Learning}
 SLEAHP hyper-parameters
 \begin{itemize}
 \item {} 
-\sphinxcode{megaex\_bottom} (values: integer, default value: 1, valid for SLEAHP): number of mega-examples on which to build the bottom clauses.
+\sphinxcode{\sphinxupquote{megaex\_bottom}} (values: integer, default value: 1, valid for SLEAHP): number of mega-examples on which to build the bottom clauses.
 
 \item {} 
-\sphinxcode{initial\_clauses\_per\_megaex} (values: integer, default value: 1, valid for SLEAHP): number of bottom clauses to build for each mega-example (or model or interpretation).
+\sphinxcode{\sphinxupquote{initial\_clauses\_per\_megaex}} (values: integer, default value: 1, valid for SLEAHP): number of bottom clauses to build for each mega-example (or model or interpretation).
 
 \item {} 
-\sphinxcode{d} (values: integer, default value: 1, valid for SLEAHP): number of saturation steps when building the bottom clause.
+\sphinxcode{\sphinxupquote{d}} (values: integer, default value: 1, valid for SLEAHP): number of saturation steps when building the bottom clause.
 
 \item {} 
-\sphinxcode{neg\_ex} (values: \sphinxcode{given}, \sphinxcode{cw}, default value: \sphinxcode{cw}): if set to \sphinxcode{given}, the negative examples in training and testing are taken from the test folds interpretations, i.e., those examples \sphinxcode{ex} stored as \sphinxcode{neg(ex)}; if set to \sphinxcode{cw}, the negative examples in training and testing are generated according to the closed world assumption, i.e., all atoms for target predicates that are not positive examples. The set of all atoms is obtained by collecting the set of constants for each type of the arguments of the target predicate, so the target predicates must have at least one fact for \sphinxcode{modeh/2} or \sphinxcode{modeb/2} also for parameter learning.
+\sphinxcode{\sphinxupquote{neg\_ex}} (values: \sphinxcode{\sphinxupquote{given}}, \sphinxcode{\sphinxupquote{cw}}, default value: \sphinxcode{\sphinxupquote{cw}}): if set to \sphinxcode{\sphinxupquote{given}}, the negative examples in training and testing are taken from the test folds interpretations, i.e., those examples \sphinxcode{\sphinxupquote{ex}} stored as \sphinxcode{\sphinxupquote{neg(ex)}}; if set to \sphinxcode{\sphinxupquote{cw}}, the negative examples in training and testing are generated according to the closed world assumption, i.e., all atoms for target predicates that are not positive examples. The set of all atoms is obtained by collecting the set of constants for each type of the arguments of the target predicate, so the target predicates must have at least one fact for \sphinxcode{\sphinxupquote{modeh/2}} or \sphinxcode{\sphinxupquote{modeb/2}} also for parameter learning.
 
 \item {} 
-\sphinxcode{probability} (values:real number in \sphinxcode{{[}0,1{]}} , default value: \sphinxcode{1.0}): initial value which indicates the probability to go from the current layer to the next when generating the initial HPLP.
+\sphinxcode{\sphinxupquote{probability}} (values:real number in \sphinxcode{\sphinxupquote{{[}0,1{]}}} , default value: \sphinxcode{\sphinxupquote{1.0}}): initial value which indicates the probability to go from the current layer to the next when generating the initial HPLP.
 
 \item {} 
-\sphinxcode{rate} (values: real number in \sphinxcode{{[}0,1{]}}, default value: \sphinxcode{0.95}): at each layer during the tree generation, the probability to go deeper is equal to \sphinxcode{probability=probability*rate}. The deeper the layer the lower is the probability to go deeper.
+\sphinxcode{\sphinxupquote{rate}} (values: real number in \sphinxcode{\sphinxupquote{{[}0,1{]}}}, default value: \sphinxcode{\sphinxupquote{0.95}}): at each layer during the tree generation, the probability to go deeper is equal to \sphinxcode{\sphinxupquote{probability=probability*rate}}. The deeper the layer the lower is the probability to go deeper.
 
 \item {} 
-\sphinxcode{min\_probability} (values: real number in \sphinxcode{{[}0,1{]}}, default value: \sphinxcode{1e-5}):  probability threshold under which a clause is dropped out.
+\sphinxcode{\sphinxupquote{min\_probability}} (values: real number in \sphinxcode{\sphinxupquote{{[}0,1{]}}}, default value: \sphinxcode{\sphinxupquote{1e-5}}):  probability threshold under which a clause is dropped out.
 
 \item {} 
-\sphinxcode{use\_all\_mega\_examples} (values: \sphinxcode{\{no,yes\}} , default value:\sphinxcode{yes}): if set to \sphinxcode{yes} all the the bottom clauses are used to create the tree otherwise only one of them is used (typically the first).
+\sphinxcode{\sphinxupquote{use\_all\_mega\_examples}} (values: \sphinxcode{\sphinxupquote{\{no,yes\}}} , default value:\sphinxcode{\sphinxupquote{yes}}): if set to \sphinxcode{\sphinxupquote{yes}} all the the bottom clauses are used to create the tree otherwise only one of them is used (typically the first).
 
 \item {} 
-\sphinxcode{saveHPLP} (values: \sphinxcode{\{no,yes\}}, default value: \sphinxcode{no}): if set to \sphinxcode{yes} the initial and the learned hierarchical programs are saved in the current folder.
+\sphinxcode{\sphinxupquote{saveHPLP}} (values: \sphinxcode{\sphinxupquote{\{no,yes\}}}, default value: \sphinxcode{\sphinxupquote{no}}): if set to \sphinxcode{\sphinxupquote{yes}} the initial and the learned hierarchical programs are saved in the current folder.
 
 \item {} 
-\sphinxcode{saveFile} (values: string, default value: “hplp”): file name where to save the initial hierarchical programs if \sphinxcode{saveHPLP}  is set to \sphinxcode{yes}. If the file name is \sphinxcode{hplp}, the learned program is saved in file \sphinxcode{hplp\_learned}.
+\sphinxcode{\sphinxupquote{saveFile}} (values: string, default value: “hplp”): file name where to save the initial hierarchical programs if \sphinxcode{\sphinxupquote{saveHPLP}}  is set to \sphinxcode{\sphinxupquote{yes}}. If the file name is \sphinxcode{\sphinxupquote{hplp}}, the learned program is saved in file \sphinxcode{\sphinxupquote{hplp\_learned}}.
 
 \item {} 
-\sphinxcode{max\_layer} (values: integer, default value: -1): maximum layer of clauses. If set to -1, no maximum is imposed.
+\sphinxcode{\sphinxupquote{max\_layer}} (values: integer, default value: -1): maximum layer of clauses. If set to -1, no maximum is imposed.
 
 \item {} 
-\sphinxcode{verbosity} (values: integer in \sphinxcode{{[}1,3{]}}, default value: \sphinxcode{1}): level of verbosity of the algorithms.
+\sphinxcode{\sphinxupquote{verbosity}} (values: integer in \sphinxcode{\sphinxupquote{{[}1,3{]}}}, default value: \sphinxcode{\sphinxupquote{1}}): level of verbosity of the algorithms.
 
 \end{itemize}
 
@@ -862,9 +818,9 @@ \section{Hyper-parameters for Learning}
 
 \chapter{Example Files}
 \label{\detokenize{index:example-files}}
-The \sphinxcode{pack/phil/prolog/examples} folder in SWI-Prolog home contains some example programs.
-The subfolder \sphinxcode{learning} contains some learning examples.
-The \sphinxcode{pack/phil/docs} folder contains this manual in latex, html and pdf.
+The \sphinxcode{\sphinxupquote{pack/phil/prolog/examples}} folder in SWI-Prolog home contains some example programs.
+The subfolder \sphinxcode{\sphinxupquote{learning}} contains some learning examples.
+The \sphinxcode{\sphinxupquote{pack/phil/docs}} folder contains this manual in latex, html and pdf.
 
 
 \chapter{Manual in PDF}
@@ -882,40 +838,31 @@ \chapter{References}
 \label{\detokenize{index:references}}
 
 
-\begin{sphinxthebibliography}{NguembangFadjaLR17}
-\bibitem[DRVL95]{\detokenize{DRVL95}}{\phantomsection\label{\detokenize{index:raelae95-alt95}} 
+\begin{sphinxthebibliography}{Nguemban}
+\bibitem[DRVL95]{index:raelae95-alt95}
 L. De Raedt and W. Van Laer. Inductive constraint logic. In \sphinxstyleemphasis{Proceedings of the 6th Conference on Algorithmic Learning Theory (ALT 1995)}, volume 997 of LNAI, 80\textendash{}94. Fukuoka, Japan, 1995. Springer.
-}
-\bibitem[KD05]{\detokenize{KD05}}{\phantomsection\label{\detokenize{index:kok2005learning}} 
+\bibitem[FRL21]{index:fadja2021learning}
+Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Learning hierarchical probabilistic logic programs. \sphinxstyleemphasis{Machine Learning}, pages 1\textendash{}57, 2021.
+\bibitem[KD05]{index:kok2005learning}
 Stanley Kok and Pedro Domingos. Learning the structure of markov logic networks. In \sphinxstyleemphasis{Proceedings of the 22nd international conference on Machine learning}, 441\textendash{}448. 2005.
-}
-\bibitem[NFRL18a]{\detokenize{NFRL18a}}{\phantomsection\label{\detokenize{index:fadja2018expectation}} 
+\bibitem[NFRL18a]{index:fadja2018expectation}
 Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Expectation maximization in deep probabilistic logic programming. In \sphinxstyleemphasis{International Conference of the Italian Association for Artificial Intelligence}, 293\textendash{}306. Springer, 2018.
-}
-\bibitem[NFRL18b]{\detokenize{NFRL18b}}{\phantomsection\label{\detokenize{index:nguriglam18-plp-iw}} 
+\bibitem[NFRL18b]{index:nguriglam18-plp-iw}
 Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Learning the parameters of deep probabilistic logic programs. In Elena Bellodi and Tom Schrijvers, editors, \sphinxstyleemphasis{Probabilistic Logic Programming (PLP 2018)}, volume 2219 of CEUR Workshop Proceedings, 9\textendash{}14. Aachen, Germany, 2018. Sun SITE Central Europe. URL: \sphinxurl{http://ceur-ws.org/Vol-2219/paper2.pdf}.
-}
-\bibitem[Poo97]{\detokenize{Poo97}}{\phantomsection\label{\detokenize{index:dblp-journals-ai-poole97}} 
+\bibitem[Poo97]{index:dblp-journals-ai-poole97}
 David Poole. The independent choice logic for modelling multiple agents under uncertainty. \sphinxstyleemphasis{Artificial Intelligence}, 94(1-2):7\textendash{}56, 1997.
-}
-\bibitem[Rig14]{\detokenize{Rig14}}{\phantomsection\label{\detokenize{index:rig14-cj-ij}} 
+\bibitem[Rig14]{index:rig14-cj-ij}
 Fabrizio Riguzzi. Speeding up inference for probabilistic logic programs. \sphinxstyleemphasis{CJ\_J}, 57(3):347\textendash{}363, 2014. \sphinxhref{https://doi.org/10.1093/comjnl/bxt096}{doi:10.1093/comjnl/bxt096}.
-}
-\bibitem[RS10]{\detokenize{RS10}}{\phantomsection\label{\detokenize{index:rigswi10-iclp10-ic}} 
+\bibitem[RS10]{index:rigswi10-iclp10-ic}
 Fabrizio Riguzzi and Terrance Swift. Tabling and Answer Subsumption for Reasoning on Logic Programs with Annotated Disjunctions. In \sphinxstyleemphasis{Technical Communications of the International Conference on Logic Programming}, volume 7 of Leibniz International Proceedings in Informatics (LIPIcs), 162\textendash{}171. Schloss Dagstuhl\textendash{}Leibniz-Zentrum fuer Informatik, 2010. \sphinxhref{https://doi.org/10.4230/LIPIcs.ICLP.2010.162}{doi:10.4230/LIPIcs.ICLP.2010.162}.
-}
-\bibitem[SK01]{\detokenize{SK01}}{\phantomsection\label{\detokenize{index:dblp-journals-jair-satok01}} 
+\bibitem[SK01]{index:dblp-journals-jair-satok01}
 Taisuke Sato and Yoshitaka Kameya. Parameter learning of logic programs for symbolic-statistical modeling. \sphinxstyleemphasis{J. Artif. Intell. Res.}, 15:391\textendash{}454, 2001.
-}
-\bibitem[VV03]{\detokenize{VV03}}{\phantomsection\label{\detokenize{index:venver03-tr}} 
+\bibitem[VV03]{index:venver03-tr}
 J. Vennekens and S. Verbaeten. Logic programs with annotated disjunctions. Technical Report CW386, K. U. Leuven, 2003.
-}
-\bibitem[VVB04]{\detokenize{VVB04}}{\phantomsection\label{\detokenize{index:venver04-iclp04-ic}} 
+\bibitem[VVB04]{index:venver04-iclp04-ic}
 J. Vennekens, S. Verbaeten, and M. Bruynooghe. Logic programs with annotated disjunctions. In \sphinxstyleemphasis{International Conference on Logic Programming}, volume 3131 of LNCS, 195\textendash{}209. Springer, 2004.
-}
-\bibitem[NguembangFadjaLR17]{\detokenize{NguembangFadjaLR17}}{\phantomsection\label{\detokenize{index:ngulamrig17-plp-iw}} 
+\bibitem[NguembangFadjaLR17]{index:ngulamrig17-plp-iw}
 Arnaud Nguembang Fadja, Evelina Lamma, and Fabrizio Riguzzi. Deep probabilistic logic programming. In Christian Theil Have and Riccardo Zese, editors, \sphinxstyleemphasis{PLP17\_B}, volume 1916 of CEUR\_S, 3\textendash{}14. Sun SITE Central Europe, 2017.
-}
 \end{sphinxthebibliography}
 
 
diff --git a/packs_lib/phil/docs/_build/latex/phil.toc b/packs_lib/phil/docs/_build/latex/phil.toc
index d6570d6fe0..56bec7e8ab 100644
--- a/packs_lib/phil/docs/_build/latex/phil.toc
+++ b/packs_lib/phil/docs/_build/latex/phil.toc
@@ -1,26 +1,26 @@
 \babel@toc {english}{}
-\contentsline {chapter}{\numberline {1}Introduction}{1}{chapter.1}
-\contentsline {chapter}{\numberline {2}Installation}{3}{chapter.2}
-\contentsline {section}{\numberline {2.1}Requirements}{3}{section.2.1}
-\contentsline {section}{\numberline {2.2}Example of use}{3}{section.2.2}
-\contentsline {section}{\numberline {2.3}Testing the installation}{3}{section.2.3}
-\contentsline {section}{\numberline {2.4}Datasets}{4}{section.2.4}
-\contentsline {chapter}{\numberline {3}Syntax}{5}{chapter.3}
-\contentsline {chapter}{\numberline {4}Semantics}{7}{chapter.4}
-\contentsline {chapter}{\numberline {5}Inference}{9}{chapter.5}
-\contentsline {chapter}{\numberline {6}Learning}{11}{chapter.6}
-\contentsline {section}{\numberline {6.1}Input}{11}{section.6.1}
-\contentsline {subsection}{\numberline {6.1.1}Preamble}{11}{subsection.6.1.1}
-\contentsline {subsection}{\numberline {6.1.2}Background and Initial hierarchical program}{12}{subsection.6.1.2}
-\contentsline {subsection}{\numberline {6.1.3}Language Bias}{13}{subsection.6.1.3}
-\contentsline {subsection}{\numberline {6.1.4}Example Interpretations}{14}{subsection.6.1.4}
-\contentsline {section}{\numberline {6.2}Commands}{16}{section.6.2}
-\contentsline {subsection}{\numberline {6.2.1}Parameter Learning}{16}{subsection.6.2.1}
-\contentsline {subsection}{\numberline {6.2.2}Structure Learning}{16}{subsection.6.2.2}
-\contentsline {subsection}{\numberline {6.2.3}Testing}{16}{subsection.6.2.3}
-\contentsline {section}{\numberline {6.3}Hyper-parameters for Learning}{17}{section.6.3}
-\contentsline {chapter}{\numberline {7}Example Files}{21}{chapter.7}
-\contentsline {chapter}{\numberline {8}Manual in PDF}{23}{chapter.8}
-\contentsline {chapter}{\numberline {9}License}{25}{chapter.9}
-\contentsline {chapter}{\numberline {10}References}{27}{chapter.10}
-\contentsline {chapter}{Bibliography}{29}{chapter*.16}
+\contentsline {chapter}{\numberline {1}Introduction}{1}{chapter.1}%
+\contentsline {chapter}{\numberline {2}Installation}{3}{chapter.2}%
+\contentsline {section}{\numberline {2.1}Requirements}{3}{section.2.1}%
+\contentsline {section}{\numberline {2.2}Example of use}{3}{section.2.2}%
+\contentsline {section}{\numberline {2.3}Testing the installation}{3}{section.2.3}%
+\contentsline {section}{\numberline {2.4}Datasets}{4}{section.2.4}%
+\contentsline {chapter}{\numberline {3}Syntax}{5}{chapter.3}%
+\contentsline {chapter}{\numberline {4}Semantics}{7}{chapter.4}%
+\contentsline {chapter}{\numberline {5}Inference}{9}{chapter.5}%
+\contentsline {chapter}{\numberline {6}Learning}{11}{chapter.6}%
+\contentsline {section}{\numberline {6.1}Input}{11}{section.6.1}%
+\contentsline {subsection}{\numberline {6.1.1}Preamble}{11}{subsection.6.1.1}%
+\contentsline {subsection}{\numberline {6.1.2}Background and Initial hierarchical program}{12}{subsection.6.1.2}%
+\contentsline {subsection}{\numberline {6.1.3}Language Bias}{13}{subsection.6.1.3}%
+\contentsline {subsection}{\numberline {6.1.4}Example Interpretations}{14}{subsection.6.1.4}%
+\contentsline {section}{\numberline {6.2}Commands}{16}{section.6.2}%
+\contentsline {subsection}{\numberline {6.2.1}Parameter Learning}{16}{subsection.6.2.1}%
+\contentsline {subsection}{\numberline {6.2.2}Structure Learning}{16}{subsection.6.2.2}%
+\contentsline {subsection}{\numberline {6.2.3}Testing}{16}{subsection.6.2.3}%
+\contentsline {section}{\numberline {6.3}Hyper-parameters for Learning}{17}{section.6.3}%
+\contentsline {chapter}{\numberline {7}Example Files}{21}{chapter.7}%
+\contentsline {chapter}{\numberline {8}Manual in PDF}{23}{chapter.8}%
+\contentsline {chapter}{\numberline {9}License}{25}{chapter.9}%
+\contentsline {chapter}{\numberline {10}References}{27}{chapter.10}%
+\contentsline {chapter}{Bibliography}{29}{chapter*.3}%
diff --git a/packs_lib/phil/docs/_build/latex/python.ist b/packs_lib/phil/docs/_build/latex/python.ist
index 687d26cd45..70536a6683 100644
--- a/packs_lib/phil/docs/_build/latex/python.ist
+++ b/packs_lib/phil/docs/_build/latex/python.ist
@@ -3,11 +3,14 @@ headings_flag 1
 heading_prefix "  \\bigletter "
 
 preamble "\\begin{sphinxtheindex}
-\\def\\bigletter#1{{\\Large\\sffamily#1}\\nopagebreak\\vspace{1mm}}
+\\let\\bigletter\\sphinxstyleindexlettergroup
+\\let\\spxpagem \\sphinxstyleindexpagemain
+\\let\\spxentry \\sphinxstyleindexentry
+\\let\\spxextra \\sphinxstyleindexextra
 
 "
 
 postamble "\n\n\\end{sphinxtheindex}\n"
 
-symhead_positive "{Symbols}"
-numhead_positive "{Numbers}"
+symhead_positive "{\\sphinxsymbolsname}"
+numhead_positive "{\\sphinxnumbersname}"
diff --git a/packs_lib/phil/docs/_build/latex/sphinx.sty b/packs_lib/phil/docs/_build/latex/sphinx.sty
index 5ceb05e197..de6664cd1f 100644
--- a/packs_lib/phil/docs/_build/latex/sphinx.sty
+++ b/packs_lib/phil/docs/_build/latex/sphinx.sty
@@ -6,7 +6,7 @@
 %
 
 \NeedsTeXFormat{LaTeX2e}[1995/12/01]
-\ProvidesPackage{sphinx}[2017/12/12 v1.6.6 LaTeX package (Sphinx markup)]
+\ProvidesPackage{sphinx}[2019/01/12 v1.8.4 LaTeX package (Sphinx markup)]
 
 % provides \ltx@ifundefined
 % (many packages load ltxcmds: graphicx does for pdftex and lualatex but
@@ -39,7 +39,7 @@
 \@ifclassloaded{memoir}{}{\RequirePackage{fancyhdr}}
 % for \text macro and \iffirstchoice@ conditional even if amsmath not loaded
 \RequirePackage{amstext}
-\RequirePackage[warn]{textcomp}
+\RequirePackage{textcomp}% "warn" option issued from template
 \RequirePackage{titlesec}
 \@ifpackagelater{titlesec}{2016/03/15}%
  {\@ifpackagelater{titlesec}{2016/03/21}%
@@ -82,11 +82,26 @@
 % User interface to set-up whitespace before and after tables:
 \newcommand*\sphinxtablepre {0pt}%
 \newcommand*\sphinxtablepost{\medskipamount}%
+% Space from caption baseline to top of table or frame of literal-block
 \newcommand*\sphinxbelowcaptionspace{.5\sphinxbaselineskip}%
 % as one can not use \baselineskip from inside longtable (it is zero there)
 % we need \sphinxbaselineskip, which defaults to \baselineskip
 \def\sphinxbaselineskip{\baselineskip}%
-% These commands are inserted by the table templates
+% The following is to ensure that, whether tabular(y) or longtable:
+% - if a caption is on top of table:
+%   a) the space between its last baseline and the top rule of table is
+%      exactly \sphinxbelowcaptionspace
+%   b) the space from last baseline of previous text to first baseline of
+%      caption is exactly \parskip+\baselineskip+ height of a strut.
+%   c) the caption text will wrap at width \LTcapwidth (4in)
+% - make sure this works also if "caption" package is loaded by user
+%   (with its width or margin option taking place of \LTcapwidth role)
+% TODO: obtain same for caption of literal block: a) & c) DONE, b) TO BE DONE
+%
+% To modify space below such top caption, adjust \sphinxbelowcaptionspace
+% To add or remove space above such top caption, adjust \sphinxtablepre:
+%   notice that \abovecaptionskip, \belowcaptionskip, \LTpre are **ignored**
+% A. Table with longtable
 \def\sphinxatlongtablestart
    {\par
     \vskip\parskip
@@ -95,42 +110,76 @@
     \LTpre\z@skip\LTpost\z@skip % set to zero longtable's own skips
     \edef\sphinxbaselineskip{\dimexpr\the\dimexpr\baselineskip\relax\relax}%
    }%
-\def\sphinxatlongtableend{\prevdepth\z@\vskip\sphinxtablepost\relax}%
+% Compatibility with caption package
+\def\sphinxthelongtablecaptionisattop{%
+    \spx@ifcaptionpackage{\noalign{\vskip-\belowcaptionskip}}{}%
+}%
+% Achieves exactly \sphinxbelowcaptionspace below longtable caption
 \def\sphinxlongtablecapskipadjust
-   {\dimexpr-\dp\strutbox-\sphinxbaselineskip+\sphinxbelowcaptionspace\relax}%
-% Now for tables not using longtable
-\def\sphinxattablestart
-   {\par
-    \vskip\dimexpr\sphinxtablepre\relax
-   }%
+   {\dimexpr-\dp\strutbox
+            -\spx@ifcaptionpackage{\abovecaptionskip}{\sphinxbaselineskip}%
+            +\sphinxbelowcaptionspace\relax}%
+\def\sphinxatlongtableend{\prevdepth\z@\vskip\sphinxtablepost\relax}%
+% B. Table with tabular or tabulary
+\def\sphinxattablestart{\par\vskip\dimexpr\sphinxtablepre\relax}%
 \let\sphinxattableend\sphinxatlongtableend
-% longtable's wraps captions to a maximal width of \LTcapwidth
-% so we do the same for all tables
+% This is used by tabular and tabulary templates
 \newcommand*\sphinxcapstartof[1]{%
    \vskip\parskip
    \vbox{}% force baselineskip for good positioning by capstart of hyperanchor
+   % hyperref puts the anchor 6pt above this baseline; in case of caption
+   % this baseline will be \ht\strutbox above first baseline of caption
    \def\@captype{#1}%
    \capstart
-% move back vertically to compensate space inserted by next paragraph
+% move back vertically, as tabular (or its caption) will compensate
    \vskip-\baselineskip\vskip-\parskip
 }%
-\newcommand\sphinxcaption[2][\LTcapwidth]{%
+\def\sphinxthecaptionisattop{% locate it after \sphinxcapstartof
+    \spx@ifcaptionpackage
+      {\caption@setposition{t}%
+       \vskip\baselineskip\vskip\parskip % undo those from \sphinxcapstartof
+       \vskip-\belowcaptionskip          % anticipate caption package skip
+       % caption package uses a \vbox, not a \vtop, so "single line" case
+       % gives different result from "multi-line" without this:
+       \nointerlineskip
+      }%
+      {}%
+}%
+\def\sphinxthecaptionisatbottom{% (not finalized; for template usage)
+    \spx@ifcaptionpackage{\caption@setposition{b}}{}%
+}%
+% The aim of \sphinxcaption is to apply to tabular(y) the maximal width
+% of caption as done by longtable
+\def\sphinxtablecapwidth{\LTcapwidth}%
+\newcommand\sphinxcaption{\@dblarg\spx@caption}%
+\long\def\spx@caption[#1]#2{%
    \noindent\hb@xt@\linewidth{\hss
-      \vtop{\@tempdima\dimexpr#1\relax
+      \vtop{\@tempdima\dimexpr\sphinxtablecapwidth\relax
 % don't exceed linewidth for the caption width
             \ifdim\@tempdima>\linewidth\hsize\linewidth\else\hsize\@tempdima\fi
 % longtable ignores \abovecaptionskip/\belowcaptionskip, so do the same here
-            \abovecaptionskip\z@skip
-            \belowcaptionskip\z@skip
-            \caption[{#2}]%
+            \abovecaptionskip\sphinxabovecaptionskip % \z@skip
+            \belowcaptionskip\sphinxbelowcaptionskip % \z@skip
+            \caption[{#1}]%
                {\strut\ignorespaces#2\ifhmode\unskip\@finalstrut\strutbox\fi}%
            }\hss}%
    \par\prevdepth\dp\strutbox
 }%
-\newcommand\sphinxaftercaption
-{% this default definition serves with a caption *above* a table, to make sure
- % its last baseline is \sphinxbelowcaptionspace above table top
- \nobreak
+\def\sphinxabovecaptionskip{\z@skip}% Do not use! Flagged for removal
+\def\sphinxbelowcaptionskip{\z@skip}% Do not use! Flagged for removal
+% This wrapper of \abovecaptionskip is used in sphinxVerbatim for top
+% caption, and with another value in sphinxVerbatimintable
+% TODO: To unify space above caption of a code-block with the one above
+%       caption of a table/longtable, \abovecaptionskip must not be used
+%       This auxiliary will get renamed and receive a different meaning
+%       in future.
+\def\spx@abovecaptionskip{\abovecaptionskip}%
+% Achieve \sphinxbelowcaptionspace below a caption located above a tabular
+% or a tabulary
+\newcommand\sphinxaftertopcaption
+{%
+   \spx@ifcaptionpackage
+     {\par\prevdepth\dp\strutbox\nobreak\vskip-\abovecaptionskip}{\nobreak}%
    \vskip\dimexpr\sphinxbelowcaptionspace\relax
    \vskip-\baselineskip\vskip-\parskip
 }%
@@ -158,8 +207,10 @@
 }
 % For highlighted code.
 \RequirePackage{fancyvrb}
-\fvset{fontsize=\small}
 \define@key{FV}{hllines}{\def\sphinx@verbatim@checkifhl##1{\in@{, ##1,}{#1}}}
+% sphinxVerbatim must be usable by third party without requiring hllines set-up
+\def\sphinxresetverbatimhllines{\def\sphinx@verbatim@checkifhl##1{\in@false}}
+\sphinxresetverbatimhllines
 % For hyperlinked footnotes in tables; also for gathering footnotes from
 % topic and warning blocks. Also to allow code-blocks in footnotes.
 \RequirePackage{footnotehyper-sphinx}
@@ -169,7 +220,13 @@
 % For floating figures in the text. Better to load after float.
 \RequirePackage{wrapfig}
 % Separate paragraphs by space by default.
-\RequirePackage{parskip}
+\IfFileExists{parskip-2001-04-09.sty}% since September 2018 TeXLive update
+% new parskip.sty, but let it rollback to old one.
+% hopefully TeX installation not broken and LaTeX kernel not too old
+   {\RequirePackage{parskip}[=v1]}
+% standard one from 1989. Admittedly \section of article/book gives possibly
+% anomalous spacing, but we can't require September 2018 release for some time.
+   {\RequirePackage{parskip}}
 % For parsed-literal blocks.
 \RequirePackage{alltt}
 % Display "real" single quotes in literal blocks.
@@ -177,15 +234,18 @@
 % control caption around literal-block
 \RequirePackage{capt-of}
 \RequirePackage{needspace}
-
+% LaTeX 2018-04-01 and later provides \@removefromreset
+\ltx@ifundefined{@removefromreset}
+    {\RequirePackage{remreset}}
+    {}% avoid warning
 % to make pdf with correct encoded bookmarks in Japanese
 % this should precede the hyperref package
-\ifx\kanjiskip\undefined
+\ifx\kanjiskip\@undefined
 % for non-Japanese: make sure bookmarks are ok also with lualatex
   \PassOptionsToPackage{pdfencoding=unicode}{hyperref}
 \else
   \RequirePackage{atbegshi}
-  \ifx\ucs\undefined
+  \ifx\ucs\@undefined
     \ifnum 42146=\euc"A4A2
       \AtBeginShipoutFirst{\special{pdf:tounicode EUC-UCS2}}
     \else
@@ -196,7 +256,7 @@
   \fi
 \fi
 
-\ifx\@jsc@uplatextrue\undefined\else
+\ifx\@jsc@uplatextrue\@undefined\else
   \PassOptionsToPackage{setpagesize=false}{hyperref}
 \fi
 
@@ -229,7 +289,7 @@
 \SetupKeyvalOptions{prefix=spx@opt@} % use \spx@opt@ prefix
 
 % Sphinx legacy text layout: 1in margins on all four sides
-\ifx\@jsc@uplatextrue\undefined
+\ifx\@jsc@uplatextrue\@undefined
 \DeclareStringOption[1in]{hmargin}
 \DeclareStringOption[1in]{vmargin}
 \DeclareStringOption[.5in]{marginpar}
@@ -240,9 +300,11 @@
 \DeclareStringOption[.5\dimexpr\inv@mag in\relax]{marginpar}
 \fi
 
-\DeclareBoolOption{dontkeepoldnames} % \ifspx@opt@dontkeepoldnames = \iffalse
 \DeclareStringOption[0]{maxlistdepth}% \newcommand*\spx@opt@maxlistdepth{0}
-
+\DeclareStringOption[-1]{numfigreset}
+\DeclareBoolOption[false]{nonumfigreset}
+\DeclareBoolOption[false]{mathnumfig}
+% \DeclareBoolOption[false]{usespart}% not used
 % dimensions, we declare the \dimen registers here.
 \newdimen\sphinxverbatimsep
 \newdimen\sphinxverbatimborder
@@ -269,8 +331,11 @@
 % verbatim
 \DeclareBoolOption[true]{verbatimwithframe}
 \DeclareBoolOption[true]{verbatimwrapslines}
-\DeclareBoolOption[false]{verbatimhintsturnover}
+\DeclareBoolOption[true]{verbatimhintsturnover}
 \DeclareBoolOption[true]{inlineliteralwraps}
+\DeclareStringOption[t]{literalblockcappos}
+\DeclareStringOption[r]{verbatimcontinuedalign}
+\DeclareStringOption[r]{verbatimcontinuesalign}
 % parsed literal
 \DeclareBoolOption[true]{parsedliteralwraps}
 % \textvisiblespace for compatibility with fontspec+XeTeX/LuaTeX
@@ -341,6 +406,9 @@
 \ProcessKeyvalOptions*
 % don't allow use of maxlistdepth via \sphinxsetup.
 \DisableKeyvalOption{sphinx}{maxlistdepth}
+\DisableKeyvalOption{sphinx}{numfigreset}
+\DisableKeyvalOption{sphinx}{nonumfigreset}
+\DisableKeyvalOption{sphinx}{mathnumfig}
 % user interface: options can be changed midway in a document!
 \newcommand\sphinxsetup[1]{\setkeys{sphinx}{#1}}
 
@@ -425,7 +493,7 @@
 %
 % fix the double index and bibliography on the table of contents
 % in jsclasses (Japanese standard document classes)
-\ifx\@jsc@uplatextrue\undefined\else
+\ifx\@jsc@uplatextrue\@undefined\else
   \renewenvironment{sphinxtheindex}
     {\cleardoublepage\phantomsection
      \begin{theindex}}
@@ -433,12 +501,12 @@
 
   \renewenvironment{sphinxthebibliography}[1]
     {\cleardoublepage% \phantomsection % not needed here since TeXLive 2010's hyperref
-     \begin{thebibliography}{1}}
+     \begin{thebibliography}{#1}}
     {\end{thebibliography}}
 \fi
 
 % disable \@chappos in Appendix in pTeX
-\ifx\kanjiskip\undefined\else
+\ifx\kanjiskip\@undefined\else
   \let\py@OldAppendix=\appendix
   \renewcommand{\appendix}{
     \py@OldAppendix
@@ -452,11 +520,16 @@
  {\newenvironment
   {sphinxthebibliography}{\begin{thebibliography}}{\end{thebibliography}}%
  }
- {}% else clause of ifundefined
+ {}% else clause of \ltx@ifundefined
 \ltx@ifundefined{sphinxtheindex}
  {\newenvironment{sphinxtheindex}{\begin{theindex}}{\end{theindex}}}%
- {}% else clause of ifundefined
+ {}% else clause of \ltx@ifundefined
 
+% for usage with xindy: this string gets internationalized in preamble
+\newcommand*{\sphinxnonalphabeticalgroupname}{}
+% redefined in preamble, headings for makeindex produced index
+\newcommand*{\sphinxsymbolsname}{}
+\newcommand*{\sphinxnumbersname}{}
 
 %% COLOR (general)
 %
@@ -478,38 +551,61 @@
 \sloppy
 \hbadness = 5000                % don't print trivial gripes
 
-\pagestyle{empty}               % start this way
-
+% Use \pagestyle{normal} as the primary pagestyle for text.
 % Redefine the 'normal' header/footer style when using "fancyhdr" package:
-% Note: this presupposes "twoside". If "oneside" class option, there will be warnings.
-\ltx@ifundefined{fancyhf}{}{
-  % Use \pagestyle{normal} as the primary pagestyle for text.
-  \fancypagestyle{normal}{
+\@ifpackageloaded{fancyhdr}{%
+  \ltx@ifundefined{c@chapter}
+  {% no \chapter, "howto" (non-Japanese) docclass
+   \fancypagestyle{plain}{
+    \fancyhf{}
+    \fancyfoot[C]{{\py@HeaderFamily\thepage}}
+    \renewcommand{\headrulewidth}{0pt}
+    \renewcommand{\footrulewidth}{0pt}
+   }
+   % Same as 'plain', this way we can use it in template
+   % FIXME: shouldn't this have a running header with Name and Release like 'manual'?
+   \fancypagestyle{normal}{
+    \fancyhf{}
+    \fancyfoot[C]{{\py@HeaderFamily\thepage}}
+    \renewcommand{\headrulewidth}{0pt}
+    \renewcommand{\footrulewidth}{0pt}
+   }
+  }%
+  {% classes with \chapter command
+   \fancypagestyle{normal}{
     \fancyhf{}
-% (for \py@HeaderFamily cf "TITLES")
+   % FIXME: this presupposes "twoside".
+   % If "oneside" class option, there are warnings in LaTeX log.
     \fancyfoot[LE,RO]{{\py@HeaderFamily\thepage}}
     \fancyfoot[LO]{{\py@HeaderFamily\nouppercase{\rightmark}}}
     \fancyfoot[RE]{{\py@HeaderFamily\nouppercase{\leftmark}}}
-    \fancyhead[LE,RO]{{\py@HeaderFamily \@title, \py@release}}
+    \fancyhead[LE,RO]{{\py@HeaderFamily \@title\sphinxheadercomma\py@release}}
     \renewcommand{\headrulewidth}{0.4pt}
     \renewcommand{\footrulewidth}{0.4pt}
     % define chaptermark with \@chappos when \@chappos is available for Japanese
     \ltx@ifundefined{@chappos}{}
       {\def\chaptermark##1{\markboth{\@chapapp\space\thechapter\space\@chappos\space ##1}{}}}
-  }
+    }
   % Update the plain style so we get the page number & footer line,
   % but not a chapter or section title.  This is to keep the first
-  % page of a chapter and the blank page between chapters `clean.'
-  \fancypagestyle{plain}{
+  % page of a chapter `clean.'
+   \fancypagestyle{plain}{
     \fancyhf{}
     \fancyfoot[LE,RO]{{\py@HeaderFamily\thepage}}
     \renewcommand{\headrulewidth}{0pt}
     \renewcommand{\footrulewidth}{0.4pt}
+    }
+   }
+  }
+  {% no fancyhdr: memoir class
+   % Provide default for 'normal' style simply as an alias of 'plain' style
+   % This way we can use \pagestyle{normal} in LaTeX template
+   \def\ps@normal{\ps@plain}
+   % Users of memoir class are invited to redefine 'normal' style in preamble
   }
-}
 
 % geometry
-\ifx\kanjiskip\undefined
+\ifx\kanjiskip\@undefined
   \PassOptionsToPackage{%
      hmargin={\unexpanded{\spx@opt@hmargin}},%
      vmargin={\unexpanded{\spx@opt@vmargin}},%
@@ -531,7 +627,7 @@
  \newcommand*\sphinxtextlinesja[1]{%
     \numexpr\@ne+\dimexpr\paperheight-\topskip-\tw@\dimexpr#1\relax\relax/
                  \baselineskip\relax}%
- \ifx\@jsc@uplatextrue\undefined\else
+ \ifx\@jsc@uplatextrue\@undefined\else
  % the way we found in order for the papersize special written by
  % geometry in the dvi file to be correct in case of jsbook class
    \ifnum\mag=\@m\else % do nothing special if nomag class option or 10pt
@@ -548,7 +644,7 @@
   }{geometry}%
  \AtBeginDocument
  {% update a dimension used by the jsclasses
-  \ifx\@jsc@uplatextrue\undefined\else\fullwidth\textwidth\fi
+  \ifx\@jsc@uplatextrue\@undefined\else\fullwidth\textwidth\fi
   % for some reason, jreport normalizes all dimensions with \@settopoint
   \@ifclassloaded{jreport}
     {\@settopoint\textwidth\@settopoint\textheight\@settopoint\marginparwidth}
@@ -626,10 +722,38 @@
       \setbox\spx@image@box\box\voidb@x % clear memory
       \includegraphics[#1,width=\linewidth]{#2}%
     \else
+      \setbox\spx@image@box\box\voidb@x % clear memory
       \includegraphics[#1]{#2}%
     \fi
   \fi
 }
+% \sphinxsafeincludegraphics resizes images larger than the line width,
+% or taller than about the text height (whether or not height/width options
+% were used). This is requested to avoid a crash with \MakeFramed as used by
+% sphinxShadowBox (topic/contents) and sphinxheavybox (admonitions), and also
+% by sphinxVerbatim (but a priori no image inclusion there).
+\newdimen\spx@image@maxheight
+% default maximal setting will get reduced by sphinxShadowBox/sphinxheavybox
+\AtBeginDocument{\spx@image@maxheight\textheight}
+\newcommand*{\sphinxsafeincludegraphics}[2][]{%
+    \gdef\spx@includegraphics@options{#1}%
+    \setbox\spx@image@box\hbox{\includegraphics[#1,draft]{#2}}%
+    \in@false
+    \ifdim \wd\spx@image@box>\linewidth
+      \g@addto@macro\spx@includegraphics@options{,width=\linewidth}%
+      \in@true
+    \fi
+    % no rotation, no need to worry about depth
+    \ifdim \ht\spx@image@box>\spx@image@maxheight
+      \g@addto@macro\spx@includegraphics@options{,height=\spx@image@maxheight}%
+      \in@true
+    \fi
+    \ifin@
+      \g@addto@macro\spx@includegraphics@options{,keepaspectratio}%
+    \fi
+    \setbox\spx@image@box\box\voidb@x % clear memory
+    \expandafter\includegraphics\expandafter[\spx@includegraphics@options]{#2}%
+}%
 
 
 %% FIGURE IN TABLE
@@ -639,8 +763,22 @@
   \sphinxsetvskipsforfigintablecaption
   \begin{minipage}{#1}%
 }{\end{minipage}}
-% store original \caption macro for use with figures in longtable and tabulary
-\AtBeginDocument{\let\spx@originalcaption\caption}
+% store the original \caption macro for usage with figures inside longtable
+% and tabulary cells. Make sure we get the final \caption in presence of
+% caption package, whether the latter was loaded before or after sphinx.
+\AtBeginDocument{%
+    \let\spx@originalcaption\caption
+    \@ifpackageloaded{caption}
+      {\let\spx@ifcaptionpackage\@firstoftwo
+       \caption@AtBeginDocument*{\let\spx@originalcaption\caption}%
+% in presence of caption package, drop our own \sphinxcaption whose aim was to
+% ensure same width of caption to all kinds of tables (tabular(y), longtable),
+% because caption package has its own width (or margin) option
+       \def\sphinxcaption{\caption}%
+      }%
+      {\let\spx@ifcaptionpackage\@secondoftwo}%
+}
+% tabulary expands twice contents, we need to prevent double counter stepping
 \newcommand*\sphinxfigcaption
   {\ifx\equation$%$% this is trick to identify tabulary first pass
        \firstchoice@false\else\firstchoice@true\fi
@@ -649,6 +787,11 @@
   {\abovecaptionskip\smallskipamount
    \belowcaptionskip\smallskipamount}
 
+
+%% CITATIONS
+%
+\protected\def\sphinxcite{\cite}
+
 %% FOOTNOTES
 %
 % Support large numbered footnotes in minipage
@@ -657,6 +800,111 @@
 \def\thempfootnote{\arabic{mpfootnote}}
 
 
+%% NUMBERING OF FIGURES, TABLES, AND LITERAL BLOCKS
+\ltx@ifundefined{c@chapter}
+   {\newcounter{literalblock}}%
+   {\newcounter{literalblock}[chapter]%
+    \def\theliteralblock{\ifnum\c@chapter>\z@\arabic{chapter}.\fi
+                         \arabic{literalblock}}%
+    }%
+\ifspx@opt@nonumfigreset
+    \ltx@ifundefined{c@chapter}{}{%
+      \@removefromreset{figure}{chapter}%
+      \@removefromreset{table}{chapter}%
+      \@removefromreset{literalblock}{chapter}%
+      \ifspx@opt@mathnumfig
+        \@removefromreset{equation}{chapter}%
+      \fi
+    }%
+    \def\thefigure{\arabic{figure}}%
+    \def\thetable {\arabic{table}}%
+    \def\theliteralblock{\arabic{literalblock}}%
+    \ifspx@opt@mathnumfig
+      \def\theequation{\arabic{equation}}%
+    \fi
+\else
+\let\spx@preAthefigure\@empty
+\let\spx@preBthefigure\@empty
+% \ifspx@opt@usespart  % <-- LaTeX writer could pass such a 'usespart' boolean
+%                      %     as sphinx.sty package option
+% If document uses \part, (triggered in Sphinx by latex_toplevel_sectioning)
+% LaTeX core per default does not reset chapter or section
+% counters at each part.
+% But if we modify this, we need to redefine \thechapter, \thesection to
+% include the part number and this will cause problems in table of contents
+% because of too wide numbering. Simplest is to do nothing.
+% \fi
+\ifnum\spx@opt@numfigreset>0
+    \ltx@ifundefined{c@chapter}
+      {}
+      {\g@addto@macro\spx@preAthefigure{\ifnum\c@chapter>\z@\arabic{chapter}.}%
+       \g@addto@macro\spx@preBthefigure{\fi}}%
+\fi
+\ifnum\spx@opt@numfigreset>1
+    \@addtoreset{figure}{section}%
+    \@addtoreset{table}{section}%
+    \@addtoreset{literalblock}{section}%
+    \ifspx@opt@mathnumfig
+      \@addtoreset{equation}{section}%
+    \fi
+    \g@addto@macro\spx@preAthefigure{\ifnum\c@section>\z@\arabic{section}.}%
+    \g@addto@macro\spx@preBthefigure{\fi}%
+\fi
+\ifnum\spx@opt@numfigreset>2
+    \@addtoreset{figure}{subsection}%
+    \@addtoreset{table}{subsection}%
+    \@addtoreset{literalblock}{subsection}%
+    \ifspx@opt@mathnumfig
+      \@addtoreset{equation}{subsection}%
+    \fi
+    \g@addto@macro\spx@preAthefigure{\ifnum\c@subsection>\z@\arabic{subsection}.}%
+    \g@addto@macro\spx@preBthefigure{\fi}%
+\fi
+\ifnum\spx@opt@numfigreset>3
+    \@addtoreset{figure}{subsubsection}%
+    \@addtoreset{table}{subsubsection}%
+    \@addtoreset{literalblock}{subsubsection}%
+    \ifspx@opt@mathnumfig
+      \@addtoreset{equation}{subsubsection}%
+    \fi
+    \g@addto@macro\spx@preAthefigure{\ifnum\c@subsubsection>\z@\arabic{subsubsection}.}%
+    \g@addto@macro\spx@preBthefigure{\fi}%
+\fi
+\ifnum\spx@opt@numfigreset>4
+    \@addtoreset{figure}{paragraph}%
+    \@addtoreset{table}{paragraph}%
+    \@addtoreset{literalblock}{paragraph}%
+    \ifspx@opt@mathnumfig
+      \@addtoreset{equation}{paragraph}%
+    \fi
+    \g@addto@macro\spx@preAthefigure{\ifnum\c@subparagraph>\z@\arabic{subparagraph}.}%
+    \g@addto@macro\spx@preBthefigure{\fi}%
+\fi
+\ifnum\spx@opt@numfigreset>5
+    \@addtoreset{figure}{subparagraph}%
+    \@addtoreset{table}{subparagraph}%
+    \@addtoreset{literalblock}{subparagraph}%
+    \ifspx@opt@mathnumfig
+      \@addtoreset{equation}{subparagraph}%
+    \fi
+    \g@addto@macro\spx@preAthefigure{\ifnum\c@subsubparagraph>\z@\arabic{subsubparagraph}.}%
+    \g@addto@macro\spx@preBthefigure{\fi}%
+\fi
+\expandafter\g@addto@macro
+\expandafter\spx@preAthefigure\expandafter{\spx@preBthefigure}%
+\let\thefigure\spx@preAthefigure
+\let\thetable\spx@preAthefigure
+\let\theliteralblock\spx@preAthefigure
+\g@addto@macro\thefigure{\arabic{figure}}%
+\g@addto@macro\thetable{\arabic{table}}%
+\g@addto@macro\theliteralblock{\arabic{literalblock}}%
+  \ifspx@opt@mathnumfig
+    \let\theequation\spx@preAthefigure
+    \g@addto@macro\theequation{\arabic{equation}}%
+  \fi
+\fi
+
+
 %% LITERAL BLOCKS
 %
 % Based on use of "fancyvrb.sty"'s Verbatim.
@@ -671,20 +919,7 @@
 \let\OriginalVerbatim   \Verbatim
 \let\endOriginalVerbatim\endVerbatim
 
-% if the available space on page is less than \literalblockneedspace, insert pagebreak
-\newcommand{\sphinxliteralblockneedspace}{5\baselineskip}
-\newcommand{\sphinxliteralblockwithoutcaptionneedspace}{1.5\baselineskip}
-
 % for captions of literal blocks
-% also define `\theH...` macros for hyperref
-\newcounter{literalblock}
-\ltx@ifundefined{c@chapter}
-  {\@addtoreset{literalblock}{section}
-  \def\theliteralblock {\ifnum\c@section>\z@ \thesection.\fi\arabic{literalblock}}
-  \def\theHliteralblock {\theHsection.\arabic{literalblock}}}
-  {\@addtoreset{literalblock}{chapter}
-  \def\theliteralblock {\ifnum\c@chapter>\z@ \thechapter.\fi\arabic{literalblock}}
-  \def\theHliteralblock {\theHchapter.\arabic{literalblock}}}
 % at start of caption title
 \newcommand*{\fnum@literalblock}{\literalblockname\nobreakspace\theliteralblock}
 % this will be overwritten in document preamble by Babel translation
@@ -694,56 +929,33 @@
 % analogous to \listoffigures, but for the code listings (foo = chosen title.)
 \newcommand*{\ext@literalblock}{lol}
 
-% The title (caption) is specified from outside as macro \sphinxVerbatimTitle.
-% \sphinxVerbatimTitle is reset to empty after each use of Verbatim.
-\newcommand*\sphinxVerbatimTitle {}
-% This box to typeset the caption before framed.sty multiple passes for framing.
-\newbox\spx@Verbatim@TitleBox
-% Holder macro for labels of literal blocks. Set-up by LaTeX writer.
-\newcommand*\sphinxLiteralBlockLabel {}
-\newcommand*\sphinxSetupCaptionForVerbatim [1]
-{%
-    \needspace{\sphinxliteralblockneedspace}%
-% insert a \label via \sphinxLiteralBlockLabel
-% reset to normal the color for the literal block caption
-% the caption inserts \abovecaptionskip whitespace above itself (usually 10pt)
-% there is also \belowcaptionskip but it is usually zero, hence the \smallskip
-    \def\sphinxVerbatimTitle
-       {\py@NormalColor
-        \captionof{literalblock}{\sphinxLiteralBlockLabel #1}\smallskip }%
-}
-\newcommand*\sphinxSetupCodeBlockInFootnote {%
-  \fvset{fontsize=\footnotesize}\let\caption\sphinxfigcaption
-  \sphinxverbatimwithminipagetrue % reduces vertical spaces
-  % we counteract float.sty's \caption which does \@normalsize
-  \let\normalsize\footnotesize\let\@parboxrestore\relax
-  \abovecaptionskip \smallskipamount \belowcaptionskip \z@skip}
-
 \newif\ifspx@inframed % flag set if we are already in a framed environment
 % if forced use of minipage encapsulation is needed (e.g. table cells)
 \newif\ifsphinxverbatimwithminipage   \sphinxverbatimwithminipagefalse
-\long\def\spx@colorbox #1#2#3{%
-% let the framing obey the current indentation (adapted from framed.sty's code).
+
+% Framing macro for use with framed.sty's \FrameCommand
+%  - it obeys current indentation,
+%  - frame is \fboxsep separated from the contents,
+%  - the contents use the full available text width,
+%  - #1 = color of frame, #2 = color of background,
+%  - #3 = above frame, #4 = below frame, #5 = within frame,
+%  - #3 and #4 must be already typeset boxes; they must issue \normalcolor
+%    or similar, else, they are under scope of color #1
+\long\def\spx@fcolorbox #1#2#3#4#5{%
   \hskip\@totalleftmargin
   \hskip-\fboxsep\hskip-\fboxrule
-  \spx@fcolorbox{VerbatimBorderColor}{VerbatimColor}{#1}{#2}{#3}%
+  % use of \color@b@x here is compatible with both xcolor.sty and color.sty
+  \color@b@x {\color{#1}\spx@CustomFBox{#3}{#4}}{\color{#2}}{#5}%
   \hskip-\fboxsep\hskip-\fboxrule
   \hskip-\linewidth \hskip-\@totalleftmargin \hskip\columnwidth
-}
-% use of \color@b@x here is compatible with both xcolor.sty and color.sty
-\long\def\spx@fcolorbox #1#2#3#4%
-  {\color@b@x {\color{#1}\spx@VerbatimFBox{#3}{#4}}{\color{#2}}}%
-% Frame drawing macro
-% #1 = used by default for title above frame, may contain "continued" hint
-% #2 = for material underneath frame, used for "continues on next page" hint
-% #3 = actual contents with background color
-\long\def\spx@VerbatimFBox#1#2#3{%
-  \leavevmode
+}%
+% #1 = for material above frame, such as a caption or a "continued" hint
+% #2 = for material below frame, such as a caption or "continues on next page"
+% #3 = actual contents, which will be typeset with a background color
+\long\def\spx@CustomFBox#1#2#3{%
   \begingroup
   \setbox\@tempboxa\hbox{{#3}}% inner braces to avoid color leaks
-  \hbox
-   {\lower\dimexpr\fboxrule+\dp\@tempboxa\hbox{%
-      \vbox{#1% above frame
+  \vbox{#1% above frame
             % draw frame border _latest_ to avoid pdf viewer issue
             \kern\fboxrule
             \hbox{\kern\fboxrule
@@ -756,42 +968,43 @@
             \hrule\@height\fboxrule
             \kern\dimexpr\ht\@tempboxa+\dp\@tempboxa\relax
             \hrule\@height\fboxrule
-            #2% below frame
-          }%
-    }%
-   }%
+        #2% below frame
+       }%
   \endgroup
-}
-
-% Customize framed.sty \MakeFramed to glue caption to literal block
-% and add optional hint "continued on next page"
-\def\spx@Verbatim@FrameCommand
-   {\spx@colorbox\spx@Verbatim@Title{}}%
-% Macros for a frame with page breaks:
-\def\spx@Verbatim@FirstFrameCommand
-   {\spx@colorbox\spx@Verbatim@Title\spx@Verbatim@Continues}%
-\def\spx@Verbatim@MidFrameCommand
-   {\spx@colorbox\spx@Verbatim@Continued\spx@Verbatim@Continues}%
-\def\spx@Verbatim@LastFrameCommand
-   {\spx@colorbox\spx@Verbatim@Continued{}}%
-
-\def\spx@Verbatim@Title{% hide width from framed.sty measuring
-  \moveright\dimexpr\fboxrule+.5\wd\@tempboxa
-  \hb@xt@\z@{\hss\unhcopy\spx@Verbatim@TitleBox\hss}%
 }%
-\def\spx@Verbatim@Continued{%
-  \moveright\dimexpr\fboxrule+\wd\@tempboxa-\fboxsep
-  \hb@xt@\z@{\hss
-             {\normalcolor\sphinxstylecodecontinued\literalblockcontinuedname}}%
+\def\spx@fcolorbox@put@c#1{% hide width from framed.sty measuring
+    \moveright\dimexpr\fboxrule+.5\wd\@tempboxa\hb@xt@\z@{\hss#1\hss}%
+}%
+\def\spx@fcolorbox@put@r#1{% right align with contents, width hidden
+    \moveright\dimexpr\fboxrule+\wd\@tempboxa-\fboxsep\hb@xt@\z@{\hss#1}%
 }%
-\def\spx@Verbatim@Continues{%
-  \moveright\dimexpr\fboxrule+\wd\@tempboxa-\fboxsep
-  \hb@xt@\z@{\hss
-             {\normalcolor\sphinxstylecodecontinues\literalblockcontinuesname}}%
+\def\spx@fcolorbox@put@l#1{% left align with contents, width hidden
+    \moveright\dimexpr\fboxrule+\fboxsep\hb@xt@\z@{#1\hss}%
 }%
+%
+\def\sphinxVerbatim@Continued
+   {\csname spx@fcolorbox@put@\spx@opt@verbatimcontinuedalign\endcsname
+    {\normalcolor\sphinxstylecodecontinued\literalblockcontinuedname}}%
+\def\sphinxVerbatim@Continues
+   {\csname spx@fcolorbox@put@\spx@opt@verbatimcontinuesalign\endcsname
+    {\normalcolor\sphinxstylecodecontinues\literalblockcontinuesname}}%
+\def\sphinxVerbatim@Title
+   {\spx@fcolorbox@put@c{\unhcopy\sphinxVerbatim@TitleBox}}%
+\let\sphinxVerbatim@Before\@empty
+\let\sphinxVerbatim@After\@empty
 % Defaults are redefined in document preamble according to language
 \newcommand*\literalblockcontinuedname{continued from previous page}%
 \newcommand*\literalblockcontinuesname{continues on next page}%
+%
+\def\spx@verbatimfcolorbox{\spx@fcolorbox{VerbatimBorderColor}{VerbatimColor}}%
+\def\sphinxVerbatim@FrameCommand
+   {\spx@verbatimfcolorbox\sphinxVerbatim@Before\sphinxVerbatim@After}%
+\def\sphinxVerbatim@FirstFrameCommand
+   {\spx@verbatimfcolorbox\sphinxVerbatim@Before\sphinxVerbatim@Continues}%
+\def\sphinxVerbatim@MidFrameCommand
+   {\spx@verbatimfcolorbox\sphinxVerbatim@Continued\sphinxVerbatim@Continues}%
+\def\sphinxVerbatim@LastFrameCommand
+   {\spx@verbatimfcolorbox\sphinxVerbatim@Continued\sphinxVerbatim@After}%
 
 % For linebreaks inside Verbatim environment from package fancyvrb.
 \newbox\sphinxcontinuationbox
@@ -849,8 +1062,40 @@
                    {\kern\fontdimen2\font}%
 }%
 
+% if the available space on page is less than \literalblockneedspace, insert pagebreak
+\newcommand{\sphinxliteralblockneedspace}{5\baselineskip}
+\newcommand{\sphinxliteralblockwithoutcaptionneedspace}{1.5\baselineskip}
+% The title (caption) is specified from outside as macro \sphinxVerbatimTitle.
+% \sphinxVerbatimTitle is reset to empty after each use of Verbatim.
+\newcommand*\sphinxVerbatimTitle {}
+% This box to typeset the caption before framed.sty multiple passes for framing.
+\newbox\sphinxVerbatim@TitleBox
+% This is a workaround to a "feature" of French lists, when literal block
+% follows immediately; usable generally (does only \par then), a priori...
+\newcommand*\sphinxvspacefixafterfrenchlists{%
+   \ifvmode\ifdim\lastskip<\z@ \vskip\parskip\fi\else\par\fi
+}
+% Holder macro for labels of literal blocks. Set-up by LaTeX writer.
+\newcommand*\sphinxLiteralBlockLabel {}
+\newcommand*\sphinxSetupCaptionForVerbatim [1]
+{%
+    \sphinxvspacefixafterfrenchlists
+    \needspace{\sphinxliteralblockneedspace}%
+% insert a \label via \sphinxLiteralBlockLabel
+% reset to normal the color for the literal block caption
+    \def\sphinxVerbatimTitle
+       {\py@NormalColor\sphinxcaption{\sphinxLiteralBlockLabel #1}}%
+}
+\newcommand*\sphinxSetupCodeBlockInFootnote {%
+  \fvset{fontsize=\footnotesize}\let\caption\sphinxfigcaption
+  \sphinxverbatimwithminipagetrue % reduces vertical spaces
+  % we counteract (this is in a group) the \@normalsize from \caption
+  \let\normalsize\footnotesize\let\@parboxrestore\relax
+  \def\spx@abovecaptionskip{\sphinxverbatimsmallskipamount}%
+}
 % needed to create wrapper environments of fancyvrb's Verbatim
 \newcommand*{\sphinxVerbatimEnvironment}{\gdef\FV@EnvironName{sphinxVerbatim}}
+\newcommand*{\sphinxverbatimsmallskipamount}{\smallskipamount}
 % serves to implement line highlighting and line wrapping
 \newcommand\sphinxFancyVerbFormatLine[1]{%
   \expandafter\sphinx@verbatim@checkifhl\expandafter{\the\FV@CodeLineNo}%
@@ -879,17 +1124,12 @@
     \sbox\sphinxcontinuationbox {\spx@opt@verbatimcontinued}%
     \sbox\sphinxvisiblespacebox {\spx@opt@verbatimvisiblespace}%
 }%
-% Sphinx <1.5 optional argument was in fact mandatory. It is now really
-% optional and handled by original Verbatim.
 \newenvironment{sphinxVerbatim}{%
-  % quit horizontal mode if we are still in a paragraph
-  \par
-  % list starts new par, but we don't want it to be set apart vertically
-  \parskip\z@skip
   % first, let's check if there is a caption
   \ifx\sphinxVerbatimTitle\empty
-      \addvspace\z@% counteract possible previous negative skip (French lists!)
-      \smallskip
+      \sphinxvspacefixafterfrenchlists
+      \parskip\z@skip
+      \vskip\sphinxverbatimsmallskipamount
       % there was no caption. Check if nevertheless a label was set.
       \ifx\sphinxLiteralBlockLabel\empty\else
       % we require some space to be sure hyperlink target from \phantomsection
@@ -897,24 +1137,48 @@
           \needspace{\sphinxliteralblockwithoutcaptionneedspace}%
           \phantomsection\sphinxLiteralBlockLabel
       \fi
-      \let\spx@Verbatim@Title\@empty
   \else
-  % non-empty \sphinxVerbatimTitle has label inside it (in case there is one)
-     \setbox\spx@Verbatim@TitleBox
+     \parskip\z@skip
+     \if t\spx@opt@literalblockcappos
+       \vskip\spx@abovecaptionskip
+       \def\sphinxVerbatim@Before
+           {\sphinxVerbatim@Title\nointerlineskip
+            \kern\dimexpr-\dp\strutbox+\sphinxbelowcaptionspace
+                 % if no frame (code-blocks inside table cells), remove
+                 % the "verbatimsep" whitespace from the top (better visually)
+                 \ifspx@opt@verbatimwithframe\else-\sphinxverbatimsep\fi
+                 % caption package adds \abovecaptionskip vspace, remove it
+                 \spx@ifcaptionpackage{-\abovecaptionskip}{}\relax}%
+     \else
+       \vskip\sphinxverbatimsmallskipamount
+       \def\sphinxVerbatim@After
+          {\nointerlineskip\kern\dimexpr\dp\strutbox
+            \ifspx@opt@verbatimwithframe\else-\sphinxverbatimsep\fi
+            \spx@ifcaptionpackage{-\abovecaptionskip}{}\relax
+           \sphinxVerbatim@Title}%
+     \fi
+     \def\@captype{literalblock}%
+     \capstart
+     % \sphinxVerbatimTitle must reset color
+     \setbox\sphinxVerbatim@TitleBox
             \hbox{\begin{minipage}{\linewidth}%
+     % caption package may detect wrongly if top or bottom, so we help it
+                    \spx@ifcaptionpackage
+                      {\caption@setposition{\spx@opt@literalblockcappos}}{}%
                     \sphinxVerbatimTitle
                   \end{minipage}}%
   \fi
+  \global\let\sphinxLiteralBlockLabel\empty
+  \global\let\sphinxVerbatimTitle\empty
   \fboxsep\sphinxverbatimsep \fboxrule\sphinxverbatimborder
-  % setting borderwidth to zero is simplest for no-frame effect with same pagebreaks
   \ifspx@opt@verbatimwithframe\else\fboxrule\z@\fi
-  \let\FrameCommand     \spx@Verbatim@FrameCommand
-  \let\FirstFrameCommand\spx@Verbatim@FirstFrameCommand
-  \let\MidFrameCommand  \spx@Verbatim@MidFrameCommand
-  \let\LastFrameCommand \spx@Verbatim@LastFrameCommand
+  \let\FrameCommand     \sphinxVerbatim@FrameCommand
+  \let\FirstFrameCommand\sphinxVerbatim@FirstFrameCommand
+  \let\MidFrameCommand  \sphinxVerbatim@MidFrameCommand
+  \let\LastFrameCommand \sphinxVerbatim@LastFrameCommand
   \ifspx@opt@verbatimhintsturnover\else
-      \let\spx@Verbatim@Continued\@empty
-      \let\spx@Verbatim@Continues\@empty
+      \let\sphinxVerbatim@Continued\@empty
+      \let\sphinxVerbatim@Continues\@empty
   \fi
   \ifspx@opt@verbatimwrapslines
   % fancyvrb's Verbatim puts each input line in (unbreakable) horizontal boxes.
@@ -941,13 +1205,21 @@
   \def\@toodeep {\advance\@listdepth\@ne}%
   % The list environment is needed to control perfectly the vertical space.
   % Note: \OuterFrameSep used by framed.sty is later set to \topsep hence 0pt.
-  % - if caption: vertical space above caption = (\abovecaptionskip + D) with
-  %   D = \baselineskip-\FrameHeightAdjust, and then \smallskip above frame.
-  % - if no caption: (\smallskip + D) above frame. By default D=6pt.
-  % Use trivlist rather than list to avoid possible "too deeply nested" error.
+  % - if caption: distance from last text baseline to caption baseline is
+  %   A+(B-F)+\ht\strutbox, A = \abovecaptionskip (default 10pt), B =
+  %   \baselineskip, F is the framed.sty \FrameHeightAdjust macro, default 6pt.
+  %   Formula valid for F < 10pt.
+  % - distance of baseline of caption to top of frame is like for tables:
+  %   \sphinxbelowcaptionspace (=0.5\baselineskip)
+  % - if no caption: distance of last text baseline to code frame is S+(B-F),
+  %   with S = \sphinxverbatimtopskip (=\smallskip)
+  % - and distance from bottom of frame to next text baseline is
+  %   \baselineskip+\parskip.
+  % The \trivlist is used to avoid possible "too deeply nested" error.
   \itemsep   \z@skip
   \topsep    \z@skip
-  \partopsep \z@skip% trivlist will set \parsep to \parskip = zero (see above)
+  \partopsep \z@skip
+  % trivlist will set \parsep to \parskip = zero
   % \leftmargin will be set to zero by trivlist
   \rightmargin\z@
   \parindent  \z@% becomes \itemindent. Default zero, but perhaps overwritten.
@@ -983,10 +1255,12 @@
   {% don't use a frame if in a table cell
    \spx@opt@verbatimwithframefalse
    \sphinxverbatimwithminipagetrue
-   % counteract longtable redefinition of caption
+   % the literal block caption uses \sphinxcaption which is wrapper of \caption,
+   % but \caption must be modified because longtable redefines it to work only
+   % for the own table caption, and tabulary has multiple passes
    \let\caption\sphinxfigcaption
-   % reduce above caption space if in a table cell
-   \abovecaptionskip\smallskipamount
+   % reduce above caption skip
+   \def\spx@abovecaptionskip{\sphinxverbatimsmallskipamount}%
    \def\sphinxVerbatimEnvironment{\gdef\FV@EnvironName{sphinxVerbatimintable}}%
    \begin{sphinxVerbatim}}
   {\end{sphinxVerbatim}}
@@ -1099,6 +1373,12 @@
 % could nest if LaTeX writer authorized it
 \newenvironment{sphinxShadowBox}
   {\def\FrameCommand {\spx@ShadowFBox }%
+   \advance\spx@image@maxheight
+   -\dimexpr2\sphinxshadowrule
+           +2\sphinxshadowsep
+           +\sphinxshadowsize
+           +\baselineskip\relax
+   \let\sphinxincludegraphics\sphinxsafeincludegraphics
    % configure framed.sty not to add extra vertical spacing
    \ltx@ifundefined{OuterFrameSep}{}{\OuterFrameSep\z@skip}%
    % the \trivlist will add the vertical spacing on top and bottom which is
@@ -1149,10 +1429,9 @@
   {\parskip\z@skip\noindent}%
   }
   {%
-  \par
   % counteract previous possible negative skip (French lists!):
   % (we can't cancel that any earlier \vskip introduced a potential pagebreak)
-  \ifdim\lastskip<\z@\vskip-\lastskip\fi
+  \sphinxvspacefixafterfrenchlists
   \nobreak\vbox{\noindent\kern\@totalleftmargin
       {\color{spx@notice@bordercolor}%
        \rule[\dimexpr.4\baselineskip-\spx@notice@border\relax]
@@ -1182,6 +1461,11 @@
 \newenvironment{sphinxheavybox}{\par
    \setlength{\FrameRule}{\spx@notice@border}%
    \setlength{\FrameSep}{\dimexpr.6\baselineskip-\FrameRule\relax}
+   \advance\spx@image@maxheight
+   -\dimexpr2\FrameRule
+           +2\FrameSep
+           +\baselineskip\relax % will happen again if nested, needed indeed!
+   \let\sphinxincludegraphics\sphinxsafeincludegraphics
    % configure framed.sty's parameters to obtain same vertical spacing
    % as for "light" boxes. We need for this to manually insert parskip glue and
    % revert a skip done by framed before the frame.
@@ -1252,14 +1536,6 @@
   \begin{sphinx#1}{#2}}
   % workaround some LaTeX "feature" of \end command
  {\edef\spx@temp{\noexpand\end{sphinx\spx@noticetype}}\spx@temp}
-% use of ``notice'' is for backwards compatibility and will be removed in
-% Sphinx 1.7.
-\newenvironment{notice}
-  {\sphinxdeprecationwarning {notice}{1.6}{1.7}{%
-  This document was probably built with a Sphinx extension using ``notice''^^J
-  environment. At Sphinx 1.7, ``notice'' environment will be removed. Please^^J
-  report to extension author to use ``sphinxadmonition'' instead.^^J%
-  ****}\begin{sphinxadmonition}}{\end{sphinxadmonition}}
 
 
 %% PYTHON DOCS MACROS AND ENVIRONMENTS
@@ -1275,18 +1551,26 @@
 % \date{}.  This allows the date to reflect the document's date and
 % release to specify the release that is documented.
 %
-\newcommand{\py@release}{}
-\newcommand{\version}{}
-\newcommand{\shortversion}{}
+\newcommand{\py@release}{\releasename\space\version}
+\newcommand{\version}{}% part of \py@release, used by title page and headers
+% \releaseinfo is used on titlepage (sphinxmanual.cls, sphinxhowto.cls)
 \newcommand{\releaseinfo}{}
-\newcommand{\releasename}{Release}
-\newcommand{\release}[1]{%
-  \renewcommand{\py@release}{\releasename\space\version}%
-  \renewcommand{\version}{#1}}
-\newcommand{\setshortversion}[1]{%
-  \renewcommand{\shortversion}{#1}}
-\newcommand{\setreleaseinfo}[1]{%
-  \renewcommand{\releaseinfo}{#1}}
+\newcommand{\setreleaseinfo}[1]{\renewcommand{\releaseinfo}{#1}}
+% this is inserted via template and #1=release config variable
+\newcommand{\release}[1]{\renewcommand{\version}{#1}}
+% this is defined by template to 'releasename' latex_elements key
+\newcommand{\releasename}{}
+% Fix issue in case release and releasename deliberately left blank
+\newcommand{\sphinxheadercomma}{, }% used in fancyhdr header definition
+\newcommand{\sphinxifemptyorblank}[1]{%
+% test after one expansion of macro #1 if contents is empty or spaces
+     \if&\expandafter\@firstofone\detokenize\expandafter{#1}&%
+     \expandafter\@firstoftwo\else\expandafter\@secondoftwo\fi}%
+\AtBeginDocument {%
+   \sphinxifemptyorblank{\releasename}
+     {\sphinxifemptyorblank{\version}{\let\sphinxheadercomma\empty}{}}
+     {}%
+}%
 
 % Allow specification of the author's address separately from the
 % author's name.  This can be used to format them differently, which
@@ -1333,8 +1617,8 @@
 %
 \newenvironment{productionlist}{%
 %  \def\sphinxoptional##1{{\Large[}##1{\Large]}}
-  \def\production##1##2{\\\sphinxcode{##1}&::=&\sphinxcode{##2}}%
-  \def\productioncont##1{\\& &\sphinxcode{##1}}%
+  \def\production##1##2{\\\sphinxcode{\sphinxupquote{##1}}&::=&\sphinxcode{\sphinxupquote{##2}}}%
+  \def\productioncont##1{\\& &\sphinxcode{\sphinxupquote{##1}}}%
   \parindent=2em
   \indent
   \setlength{\LTpre}{0pt}%
@@ -1415,16 +1699,13 @@
 
 %% TEXT STYLING
 %
-% Some custom font markup commands.
-% *** the macros without \sphinx prefix are still defined farther down ***
-\protected\def\sphinxstrong#1{{\textbf{#1}}}
 % to obtain straight quotes we execute \@noligs as patched by upquote, and
 % \scantokens is needed in cases where it would be too late for the macro to
 % first set catcodes and then fetch its argument. We also make the contents
 % breakable at non-escaped . , ; ? ! / using \sphinxbreaksviaactive.
 % the macro must be protected if it ends up used in moving arguments,
 % in 'alltt' \@noligs is done already, and the \scantokens must be avoided.
-\protected\def\sphinxcode#1{{\def\@tempa{alltt}%
+\protected\def\sphinxupquote#1{{\def\@tempa{alltt}%
   \ifx\@tempa\@currenvir\else
    \ifspx@opt@inlineliteralwraps
       \sphinxbreaksviaactive\let\sphinxafterbreak\empty
@@ -1435,16 +1716,20 @@
    \let\do@noligs\sphinx@do@noligs
    \@noligs\endlinechar\m@ne\everyeof{}% (<- in case inside \sphinxhref)
    \expandafter\scantokens
-  \fi {\texttt{#1}}}}
+  \fi {{#1}}}}% extra brace pair to fix end-space gobbling issue...
 \def\sphinx@do@noligs #1{\catcode`#1\active\begingroup\lccode`\~`#1\relax
     \lowercase{\endgroup\def~{\leavevmode\kern\z@\char`#1 }}}
 \def\sphinx@literal@nolig@list {\do\`\do\<\do\>\do\'\do\-}%
 
-\protected\def\sphinxbfcode#1{\sphinxcode{\bfseries{}#1}}
+% Some custom font markup commands.
+\protected\def\sphinxstrong#1{\textbf{#1}}
+\protected\def\sphinxcode#1{\texttt{#1}}
+\protected\def\sphinxbfcode#1{\textbf{\sphinxcode{#1}}}
 \protected\def\sphinxemail#1{\textsf{#1}}
 \protected\def\sphinxtablecontinued#1{\textsf{#1}}
 \protected\def\sphinxtitleref#1{\emph{#1}}
 \protected\def\sphinxmenuselection#1{\emph{#1}}
+\protected\def\sphinxguilabel#1{\emph{#1}}
 \protected\def\sphinxaccelerator#1{\underline{#1}}
 \protected\def\sphinxcrossref#1{\emph{#1}}
 \protected\def\sphinxtermref#1{\emph{#1}}
@@ -1452,69 +1737,54 @@
 \long\protected\def\sphinxoptional#1{%
   {\textnormal{\Large[}}{#1}\hspace{0.5mm}{\textnormal{\Large]}}}
 
-\ifspx@opt@dontkeepoldnames\else
-  \let\spx@alreadydefinedlist\@empty
-  \typeout{** (sphinx) defining (legacy) text style macros without \string\sphinx\space prefix}
-  \typeout{** if clashes with packages, do not set latex_keep_old_macro_names=True
-    in conf.py}
-  \@for\@tempa:=code,strong,bfcode,email,tablecontinued,titleref,%
-                menuselection,accelerator,crossref,termref,optional\do
- {% first, check if command with no prefix already exists
-  \ltx@ifundefined{\@tempa}{%
-  % give it the meaning defined so far with \sphinx prefix
-  \expandafter\let\csname\@tempa\expandafter\endcsname
-                  \csname sphinx\@tempa\endcsname
-  % redefine the \sphinx prefixed macro to expand to non-prefixed one
-  \expandafter\def\csname sphinx\@tempa\expandafter\endcsname
-                  \expandafter{\csname\@tempa\endcsname}%
-  }{\edef\spx@alreadydefinedlist{\spx@alreadydefinedlist{\@tempa}}}%
- }%
-  \ifx\spx@alreadydefinedlist\@empty\else
-    \expandafter\@tfor\expandafter\@tempa\expandafter:\expandafter=\spx@alreadydefinedlist\do
-    {% emit warning now
-     \PackageWarning{sphinx}{not redefining already existing \@backslashchar\@tempa\space!^^J%
-        Anyhow, Sphinx mark-up uses only \string\sphinx\@tempa.}%
-     % and also at end of log for better visibility
-     \expandafter\sphinxdeprecationwarning\expandafter{\csname\@tempa\endcsname}{1.6}{1.7}
-       {\sphinxdeprecatedmacro already existed at Sphinx loading time! Not redefined!^^J
-         Sphinx mark-up uses only \string\sphinx\expandafter\@gobble\sphinxdeprecatedmacro.^^J
-         Note: if this warning is about macro \string\strong, it presumably results^^J
-         from fontspec 2.6 having defined it prior to Sphinx. No need for alarm!}%
-    }%
-  \fi
-  \sphinxdeprecationwarning{latex_keep_old_macro_names=True}{1.6}{1.7}{}%
-\fi
-
 % additional customizable styling
-% FIXME: convert this to package options ?
-\protected\def\sphinxstyleindexentry     {\texttt}
-\protected\def\sphinxstyleindexextra #1{ \emph{(#1)}}
-\protected\def\sphinxstyleindexpageref   {, \pageref}
-\protected\def\sphinxstyletopictitle #1{\textbf{#1}\par\medskip}
+\def\sphinxstyleindexentry   #1{\texttt{#1}}
+\def\sphinxstyleindexextra   #1{ (\emph{#1})}
+\def\sphinxstyleindexpageref #1{, \pageref{#1}}
+\def\sphinxstyleindexpagemain#1{\textbf{#1}}
+\protected\def\spxentry#1{#1}% will get \let to \sphinxstyleindexentry in index
+\protected\def\spxextra#1{#1}% will get \let to \sphinxstyleindexextra in index
+\def\sphinxstyleindexlettergroup #1%
+    {{\Large\sffamily#1}\nopagebreak\vspace{1mm}}
+\def\sphinxstyleindexlettergroupDefault #1%
+    {{\Large\sffamily\sphinxnonalphabeticalgroupname}\nopagebreak\vspace{1mm}}
+\protected\def\sphinxstyletopictitle   #1{\textbf{#1}\par\medskip}
 \let\sphinxstylesidebartitle\sphinxstyletopictitle
-\protected\def\sphinxstyleothertitle     {\textbf}
+\protected\def\sphinxstyleothertitle   #1{\textbf{#1}}
 \protected\def\sphinxstylesidebarsubtitle #1{~\\\textbf{#1} \smallskip}
 % \text.. commands do not allow multiple paragraphs
-\let\sphinxstylethead\empty
-\protected\def\sphinxstyletheadfamily {\ifx\sphinxstylethead\empty\sffamily\fi}
-\AtBeginDocument{\ifx\sphinxstylethead\empty\else
-\sphinxdeprecationwarning{\sphinxstylethead}{1.6}{1.7}{%
-    \string\sphinxstyletheadfamily\space replaces it
-    (it defaults to \string\sffamily) to allow use^^J
-    with multiple paragraphs. Backwards compatibility is maintained, but please^^J
-    move customization into \string\sphinxstyletheadfamily\space
-    in time for 1.7.^^J
-    And if you do it now, you will spare yourself this warning!}\fi}
-\protected\def\sphinxstyleemphasis       {\emph}
+\protected\def\sphinxstyletheadfamily    {\sffamily}
+\protected\def\sphinxstyleemphasis     #1{\emph{#1}}
 \protected\def\sphinxstyleliteralemphasis#1{\emph{\sphinxcode{#1}}}
-\protected\def\sphinxstylestrong         {\textbf}
-\protected\def\sphinxstyleliteralstrong  {\sphinxbfcode}
-\protected\def\sphinxstyleabbreviation   {\textsc}
-\protected\def\sphinxstyleliteralintitle {\sphinxcode}
+\protected\def\sphinxstylestrong       #1{\textbf{#1}}
+\protected\def\sphinxstyleliteralstrong#1{\sphinxbfcode{#1}}
+\protected\def\sphinxstyleabbreviation #1{\textsc{#1}}
+\protected\def\sphinxstyleliteralintitle#1{\sphinxcode{#1}}
 \newcommand*\sphinxstylecodecontinued[1]{\footnotesize(#1)}%
 \newcommand*\sphinxstylecodecontinues[1]{\footnotesize(#1)}%
 % figure legend comes after caption and may contain arbitrary body elements
 \newenvironment{sphinxlegend}{\par\small}{\par}
+% reduce hyperref "Token not allowed in a PDF string" warnings on PDF builds
+\AtBeginDocument{\pdfstringdefDisableCommands{%
+% all "protected" macros possibly ending up in section titles should be here
+    \let\sphinxstyleemphasis        \@firstofone
+    \let\sphinxstyleliteralemphasis \@firstofone
+    \let\sphinxstylestrong          \@firstofone
+    \let\sphinxstyleliteralstrong   \@firstofone
+    \let\sphinxstyleabbreviation    \@firstofone
+    \let\sphinxstyleliteralintitle  \@firstofone
+    \let\sphinxupquote  \@firstofone
+    \let\sphinxstrong   \@firstofone
+    \let\sphinxcode     \@firstofone
+    \let\sphinxbfcode   \@firstofone
+    \let\sphinxemail    \@firstofone
+    \let\sphinxcrossref \@firstofone
+    \let\sphinxtermref  \@firstofone
+}}
+
+% For curly braces inside \index macro
+\def\sphinxleftcurlybrace{\{}
+\def\sphinxrightcurlybrace{\}}
 
 % Declare Unicode characters used by linux tree command to pdflatex utf8/utf8x
 \def\spx@bd#1#2{%
diff --git a/packs_lib/phil/docs/_build/latex/sphinxhowto.cls b/packs_lib/phil/docs/_build/latex/sphinxhowto.cls
index 90680fdee2..d4a38d4f52 100644
--- a/packs_lib/phil/docs/_build/latex/sphinxhowto.cls
+++ b/packs_lib/phil/docs/_build/latex/sphinxhowto.cls
@@ -3,7 +3,7 @@
 %
 
 \NeedsTeXFormat{LaTeX2e}[1995/12/01]
-\ProvidesClass{sphinxhowto}[2017/03/26 v1.6 Document class (Sphinx HOWTO)]
+\ProvidesClass{sphinxhowto}[2018/12/22 v1.8.3 Document class (Sphinx howto)]
 
 % 'oneside' option overriding the 'twoside' default
 \newif\if@oneside
@@ -25,11 +25,12 @@
 % reset these counters in your preamble.
 %
 \setcounter{secnumdepth}{2}
+\setcounter{tocdepth}{2}% i.e. section and subsection
 
 % Change the title page to look a bit better, and fit in with the fncychap
 % ``Bjarne'' style a bit better.
 %
-\renewcommand{\maketitle}{%
+\newcommand{\sphinxmaketitle}{%
   \noindent\rule{\textwidth}{1pt}\par
     \begingroup % for PDF information dictionary
        \def\endgraf{ }\def\and{\& }%
@@ -45,7 +46,7 @@
     {\Large
       \begin{tabular}[t]{c}
         \@author
-      \end{tabular}}\par
+      \end{tabular}\kern-\tabcolsep}\par
     \vspace{25pt}
     \@date \par
     \py@authoraddress \par
@@ -65,12 +66,7 @@
   \vspace{12pt}
 }  
 
-\@ifundefined{fancyhf}{
-  \pagestyle{plain}}{
-  \pagestyle{normal}}		% start this way; change for
-\pagenumbering{arabic}		% ToC & chapters
-
-\thispagestyle{empty}
+\pagenumbering{arabic}
 
 % Fix the bibliography environment to add an entry to the Table of
 % Contents.
@@ -79,7 +75,7 @@
 %
 \newenvironment{sphinxthebibliography}[1]{%
   % \phantomsection % not needed here since TeXLive 2010's hyperref
-  \begin{thebibliography}{1}%
+  \begin{thebibliography}{#1}%
   \addcontentsline{toc}{section}{\ifdefined\refname\refname\else\ifdefined\bibname\bibname\fi\fi}}{\end{thebibliography}}
 
 
diff --git a/packs_lib/phil/docs/_build/latex/sphinxmanual.cls b/packs_lib/phil/docs/_build/latex/sphinxmanual.cls
index 5b3d183cb7..864fce080e 100644
--- a/packs_lib/phil/docs/_build/latex/sphinxmanual.cls
+++ b/packs_lib/phil/docs/_build/latex/sphinxmanual.cls
@@ -3,7 +3,7 @@
 %
 
 \NeedsTeXFormat{LaTeX2e}[1995/12/01]
-\ProvidesClass{sphinxmanual}[2017/03/26 v1.6 Document class (Sphinx manual)]
+\ProvidesClass{sphinxmanual}[2018/12/22 v1.8.3 Document class (Sphinx manual)]
 
 % chapters starting at odd pages (overridden by 'openany' document option)
 \PassOptionsToClass{openright}{\sphinxdocclass}
@@ -33,7 +33,7 @@
 % Change the title page to look a bit better, and fit in with the fncychap
 % ``Bjarne'' style a bit better.
 %
-\renewcommand{\maketitle}{%
+\newcommand{\sphinxmaketitle}{%
   \let\spx@tempa\relax
   \ifHy@pageanchor\def\spx@tempa{\Hy@pageanchortrue}\fi
   \hypersetup{pageanchor=false}% avoid duplicate destination warnings
@@ -55,7 +55,7 @@
       {\LARGE
         \begin{tabular}[t]{c}
           \@author
-        \end{tabular}
+        \end{tabular}\kern-\tabcolsep
         \par}
       \vfill\vfill
       {\large
@@ -69,13 +69,14 @@
   \setcounter{footnote}{0}%
   \let\thanks\relax\let\maketitle\relax
   %\gdef\@thanks{}\gdef\@author{}\gdef\@title{}
+  \clearpage
+  \ifdefined\sphinxbackoftitlepage\sphinxbackoftitlepage\fi
   \if@openright\cleardoublepage\else\clearpage\fi
   \spx@tempa
 }
 
 \newcommand{\sphinxtableofcontents}{%
   \pagenumbering{roman}%
-  \pagestyle{plain}%
   \begingroup
     \parskip \z@skip
     \tableofcontents
@@ -83,7 +84,6 @@
   % before resetting page counter, let's do the right thing.
   \if@openright\cleardoublepage\else\clearpage\fi
   \pagenumbering{arabic}%
-  \ifdefined\fancyhf\pagestyle{normal}\fi
 }
 
 % This is needed to get the width of the section # area wide enough in the
@@ -99,7 +99,7 @@
 \newenvironment{sphinxthebibliography}[1]{%
   \if@openright\cleardoublepage\else\clearpage\fi
   % \phantomsection % not needed here since TeXLive 2010's hyperref
-  \begin{thebibliography}{1}%
+  \begin{thebibliography}{#1}%
   \addcontentsline{toc}{chapter}{\bibname}}{\end{thebibliography}}
 
 % Same for the indices.
diff --git a/packs_lib/phil/docs/index.rst b/packs_lib/phil/docs/index.rst
index bf5e3f558f..d149859974 100644
--- a/packs_lib/phil/docs/index.rst
+++ b/packs_lib/phil/docs/index.rst
@@ -13,7 +13,7 @@ phil on SWISH Manual - SWI-Prolog Version
 
 Introduction
 ============
-phil is a suite of programs for reasoning with hierarchical probabilistic logic programs (HPLP) :cite:`NguLamRig17-PLP-IW`. 
+phil is a suite of programs for reasoning with hierarchical probabilistic logic programs (HPLP) :cite:`fadja2021learning,NguLamRig17-PLP-IW`. 
 It allows both inference and learning. phil is available only for SWI-Prolog. 
 
 phil is part of cplint on SWISH web application available at ``_.
@@ -72,7 +72,7 @@ Other machine learning datasets are available in pack `phil_datasets ])`. 
diff --git a/packs_lib/phil/docs/newbib.bib b/packs_lib/phil/docs/newbib.bib
index e102620f5a..b8633755b8 100644
--- a/packs_lib/phil/docs/newbib.bib
+++ b/packs_lib/phil/docs/newbib.bib
@@ -350,3 +350,12 @@ @inproceedings{fadja2018expectation
   year={2018},
   organization={Springer}
 }
+
+@article{fadja2021learning,
+  title={Learning hierarchical probabilistic logic programs},
+  author={Fadja, Arnaud Nguembang and Riguzzi, Fabrizio and Lamma, Evelina},
+  journal={Machine Learning},
+  pages={1--57},
+  year={2021},
+  publisher={Springer}
+}
diff --git a/packs_lib/phil/lib/x86_64-linux/phil.so b/packs_lib/phil/lib/x86_64-linux/phil.so
index b37aa449c799c8e32e5f7a8e2139d9a78a2098bf..1c5c03e7fa841d8828f46b3aff918bbc01d59ffa 100755
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zHHshn%VPR+-;2*v4(0P>=)*7Qt77`NKZbU92yz?G{}Zf_{!<%RklR%W`LmSzGyz?I
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z&$snW>OVrddh9_T_XD@F{$^bq`XF!kML&LswrLUQ}e*<6GehD4VX5z93
zC+J@}(@1`a?}H$Uxc)J$AJ6kFeZ!4DbN7O#X`zqyMAmPXQfjrnF-M>CztOw}df=Xs
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TCT;WSUwydI=Q4child = new_node(val, type));
 }
 
+// Free all aritmetic circuits
+void free_nodes (node **nodes_ex, int lenNodes)
+{
+  for (int i = 0; i < lenNodes; i++)
+  {
+    free(nodes_ex[i]);
+  }
+  free(nodes_ex);
+}
+
 void printTree(node *root, FILE *f)
 {
   node *n = NULL;
@@ -241,8 +259,8 @@ void construct_leaves_node(node **leaves_node, int lenRules)
 // Converts an arithmetic circuit (a term prolog) into n-aries tree in C
 node *convertACToTree(term_t AC)
 {
-  int ret, ind, arity, i, j, lenNodes1;
-  size_t lenNodes;
+  int ret, ind, j, lenNodes1;
+  size_t lenNodes, arity, i;
   atom_t name;
   char *type;
   term_t current_term, current_List_term, temp_term;
@@ -658,16 +676,18 @@ int getTrees(term_t Nodes, node ***nodes_ex, int *lenNodes)
 // ++++++++++++++++++++++++ Gradient descent functions  ++++++++++++++++++++++++++
 
 // Creates if it does not exist the directory for the dataset and also create the necessary files
-void openFilesGD(char *statisticsFolder, FILE **probsFile, FILE **weightsFile, FILE **Moments0File, FILE **Moments1File, FILE **lls)
+void openFilesGD(char *statisticsFolder_base, FILE **probsFile, FILE **weightsFile, FILE **Moments0File, FILE **Moments1File, FILE **lls)
 {
   struct stat st = {0};
+  char statisticsFolder[MaxName];
   char statisticsFolder2[MaxName];
   char nameFileProbs[MaxName] = "./";
   char nameFileWeights[MaxName] = "./";
   char nameFileClls[MaxName] = "./";
   char nameFileMoments0[MaxName] = "./";
   char nameFileMoments1[MaxName] = "./";
-  strcpy(statisticsFolder2, statisticsFolder);
+  strcpy(statisticsFolder2, statisticsFolder_base);
+  strcpy(statisticsFolder, statisticsFolder_base);
   strcat(statisticsFolder, "_Statistics/GD");
   // create the directory to save information
   if (stat(statisticsFolder, &st) == -1)
@@ -1202,18 +1222,26 @@ double dphil(node **Nodes, int lenNodes, int MaxIteration, double Probabilities[
 
 // ++++++++++++++++++++++++ Expectation Maximization functions  ++++++++++++++++++++++++++
 
+
 // Creates if it does not exist the directory for the dataset and also create the necessary files
-void openFilesEM(char *statisticsFolder, FILE **probsFile, FILE **expectationsFile, FILE **expectationsFile0, FILE **countsFile, FILE **lls)
+void openFilesEM(char *statisticsFolder_base, FILE **probsFile, FILE **expectationsFile, FILE **expectationsFile0, FILE **countsFile, FILE **lls)
 {
+  // FILE *fp;
+  // printMessage(fp,"Enter in openFilesEM\n");
+  //const char * em_stat_folder = "_Statistics/EM";
+  //static const char em_stat_folder[] = "_Statistics/EM";
   struct stat st = {0};
+  char statisticsFolder[MaxName];
   char statisticsFolder2[MaxName];
   char nameFileProbs[MaxName] = "./";
   char nameFileExpects[MaxName] = "./";
   char nameFileExpects0[MaxName] = "./";
   char nameFileCount[MaxName] = "./";
   char nameFileClls[MaxName] = "./";
-  strcpy(statisticsFolder2, statisticsFolder);
+  strcpy(statisticsFolder, statisticsFolder_base);
+  strcpy(statisticsFolder2, statisticsFolder_base);
   strcat(statisticsFolder, "_Statistics/EM");
+  // snprintf(statisticsFolder, sizeof(statisticsFolder), "%s%s", statisticsFolder_base, em_stat_folder);
   // create the directory to save information
   if (stat(statisticsFolder, &st) == -1)
   {
@@ -1925,6 +1953,9 @@ static foreign_t pl_dphil(term_t Nodes, term_t Params, term_t StopCond, term_t F
   CLL = dphil(nodes_ex, lenNodes, MaxIter, Probabilities, Weights, NR, EA, ER, Eta, Beta1, Beta2, Adam_hat, Max_W, BatchSize, strategy, statisticsFolder, save, seeded, seed, TypeReg, Gamma); // return the CLL and the learned probabilities
   // return the CLL and the learned probabilies
   ret = setResults(CLL, Probabilities, NR, &CLLFinal, &ProbFinal);
+  free(Probabilities);
+  free(Weights);
+  free_nodes(nodes_ex,lenNodes);
   return ret;
 }
 
@@ -1957,6 +1988,13 @@ static foreign_t pl_emphil(term_t Nodes, term_t Params, term_t RegParams, term_t
   CLL = emphil(nodes_ex, lenNodes, Probabilities, Expectations, Expectations0, NR, MaxIter, EA, ER, statisticsFolder, save, seeded, seed, TypeReg, Gamma, GammaCount);
   // return the CLL and the learned probabilities
   ret = setResults(CLL, Probabilities, NR, &CLLFinal, &ProbFinal);
+  if (Init == 1) 
+    free(InitParameters);
+  free(Probabilities);
+  // free(Counts);
+  free(Expectations);
+  free(Expectations0);
+  free_nodes(nodes_ex,lenNodes);
   return ret;
 }
 // Given a single AC Circuit, the list of parameters and the number of rules NR, evaluates the AC
@@ -1976,6 +2014,7 @@ static foreign_t pl_forward(term_t Circuit, term_t Parameters, term_t NR, term_t
   // return the computed value
   ret = PL_put_float(out, root->value);
   ret = PL_unify(Output, out);
+  free(Probabilities);
   return ret;
 }
 
diff --git a/packs_lib/phil/phil.o b/packs_lib/phil/phil.o
index e8590624a84cc7e188ec8921f5c70ec92290a8ae..783b3f3a361052be80f29b075375ae38463ee0e6 100644
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z3#Q}WpZ?(g?fJrnuR{KM9xk~)A
zHHshn%VPR+-;2*v4(0P>=)*7Qt77`NKZbU92yz?G{}Zf_{!<%RklR%W`LmSzGyz?I
z=;MAH+UeN93UU8;#q@DsPFnssQ&yM$2dz)f-bQ~I-?)GGv=7n-?E?C^
z&$snW>OVrddh9_T_XD@F{$^bq`XF!kML&LswrLUQ}e*<6GehD4VX5z93
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zp#ShrJn&-UFRriYm`G^)d%GBJ+YICB2x|0$9~eK_f9UnC)rd5GZ=GfI@6ZPa)+g?N
TCT;WSUwydI=Q4
     retract_all(ThBGRef),
     retract_all(ClBGRef)
@@ -587,13 +601,24 @@
   length(DB,NEx),
   abolish_all_tables,
   M:local_setting(group,G),
-  %trace,
   derive_circuit_groupatoms(DB,M,NEx,G,[],Nodes0,0,CLL0,_LE,[]),!,
   maplist(remove_p,Nodes0,Nodes),
   M:local_setting(algorithmType,Algorithm),
   M:local_setting(maxIter_phil,MaxIter),
   M:local_setting(epsilon_deep,EA),
   M:local_setting(epsilon_deep_fraction,ER),
+  M:local_setting(saveArthmeticCircuit,SaveCircuits),
+  (SaveCircuits=all->
+    M:local_setting(trainingCircuitFile,CircuitFile),
+    writefile(Nodes,CircuitFile)
+  ;
+    ( SaveCircuits=training ->
+      M:local_setting(trainingCircuitFile,CircuitFile),
+      writefile(Nodes,CircuitFile)
+      ;
+      true
+     )
+  ),
   StopCond=[MaxIter,EA,ER],
   M:local_setting(statistics_folder,Statistics_folder),
   M:local_setting(saveStatistics,Save),
@@ -612,6 +637,7 @@
     ;
     Params=[NR,ZERO,Seeded,Seed,Init]
   ),
+
   format3(M,'Initial CLL on PHIL ~f */~n',[CLL0]),
   retract_all(Th0Ref),
   retract_all(R1Ref),
@@ -710,7 +736,6 @@
   ),
   length(DB,NMegaEx),
   M:local_setting(megaex_bottom, NumMB),
-  %trace,
   (NMegaEx >= NumMB ->
       true
     ;
@@ -843,7 +868,6 @@
       getTree(Body,[],BodyTrees),
       Tree=t(Head,BodyTrees)
     ;
-    %trace,
     Bod=[Head|Body],
     getTree(Bod,[],BodyTrees),
     length(BodyTrees, LTree),
@@ -992,7 +1016,6 @@
   assert(getIndex(1)),
   generateHPLPloop(MaxLayer,1,InitLevel,[h([Head,'',Prob],Forest)],[],HPLP1,0,Level),
   retractall(getIndex(_Index1)),
-  %trace,
   removeHidden(HPLP1,HPLP11,[HeadFunctor],_),
   reduce([],HPLP11,0,[],HPLP),
   %HPLP=HPLP11,
@@ -1054,7 +1077,6 @@
             ),
             %atom_concat(PathIndex1,Index,PathIndexNew),
             getHidden(Hidden,Pred2,PathIndexNew,HiddenNew),
-            %trace,
             getRate(Rate),
             ProbNew is Prob*Rate,
             Temp=[h([HiddenNew,PathIndexNew,ProbNew],ForestChild)],
@@ -1344,12 +1366,12 @@
   
   writeList(List,FileName):-
   open(FileName,write, Stream),
-  writeList1(Stream,List),
+  writeList1(List,Stream),
   close(Stream).
-  writeList1(_,[]).
-  writeList1(Stream,[HeadList|RestList]):-
+  writeList1([],_).
+  writeList1([HeadList|RestList],Stream):-
   writeln(Stream,HeadList),
-  writeList1(Stream,RestList).
+  writeList1(RestList,Stream).
   
   
   %!	writeClause
@@ -1361,7 +1383,7 @@
     copy_term(List,ListCopy),
     numbervars((ListCopy,_ListVar),0,_V),
     writeln(Stream,"Learned Program"),
-    writeClause1(Stream,ListCopy),
+    writeClause1(ListCopy,Stream),
     close(Stream).
   
   
@@ -1371,11 +1393,11 @@
     writeln(user_output,"Learned Program"),
     writeClause1(user_output,ListCopy).
   
-  writeClause1(_,[]).
-  writeClause1(Stream,[HeadList|RestList]):-
+  writeClause1([],_).
+  writeClause1([HeadList|RestList],Stream):-
     write(Stream,HeadList),
     writeln(Stream,"."),
-    writeClause1(Stream,RestList).
+    writeClause1(RestList,Stream).
 
 
   /*update_theory_par([],[],[]).
@@ -2879,31 +2901,6 @@
 setting_sc(M:P,V):-
   M:local_setting(P,V).
 
-extract_vars_list(L,[],V):-
-  rb_new(T),
-  extract_vars_tree(L,T,T1),
-  rb_keys(T1,V).
-
-extract_vars_term(Variable, Var0, Var1) :-
-  var(Variable), !,
-  (rb_lookup(Variable, Var0,_) ->
-    Var1 = Var0
-  ;
-    rb_insert(Var0,Variable,1,Var1)
-  ).
-
-extract_vars_term(Term, Var0, Var1) :-
-  Term=..[_F|Args],
-  extract_vars_tree(Args, Var0, Var1).
-
-
-
-extract_vars_tree([], Var, Var).
-
-extract_vars_tree([Term|Tail], Var0, Var1) :-
-  extract_vars_term(Term, Var0, Var),
-  extract_vars_tree(Tail, Var, Var1).
-
 
 difference([],_,[]).
 
@@ -2999,7 +2996,7 @@
   append([phil:onec(AC)],BodyList1,BodyList2),
   list2and(BodyList2,Body1),
   append(HeadList,BodyList,List),
-  extract_vars_list(List,[],VC),
+  term_variables(List,VC),
   get_probs(HeadList,Probs),
   maplist(to_tabled_head_list,M,HeadList,HeadList1),
   (M:local_setting(single_var,true)->
@@ -3041,7 +3038,7 @@
   process_body_db(BodyList,and([N]),ACAnd, DB,[],_Vars,BodyList1,Module,M),
   list2and(BodyList1,Body1),
   append(HeadList,BodyList,List),
-  extract_vars_list(List,[],VC),
+  term_variables(List,VC),
   get_probs(HeadList,Probs),
   maplist(to_tabled_head_list(M),HeadList,HeadList1),
   (M:local_setting(single_var,true)->
@@ -3057,7 +3054,7 @@
   process_body(BodyList,and([N]),ACAnd,[],_Vars,BodyList1,Module,M),
   list2and(BodyList1,Body1),
   append(HeadList,BodyList,List),
-  extract_vars_list(List,[],VC),
+  term_variables(List,VC),
   get_probs(HeadList,Probs),
   maplist(to_tabled_head_list(M),HeadList,HeadList1),
   (M:local_setting(single_var,true)->
@@ -3083,7 +3080,6 @@
   append([phil:onec(AC)],BodyList2,BodyList3),
   list2and(BodyList3,Body1),
   add_ac_arg(H,ACAnd,Module,Head1),
-  %trace,
   to_tabled(M,Head1,Head2),
   Clauses=[(Head2 :- Body1)].
 
@@ -3143,7 +3139,7 @@
   append([phil:onec(AC)],BodyList2,BodyList3),
   list2and(BodyList3,Body2),
   append(HeadList,BodyList,List),
-  extract_vars_list(List,[],VC),
+  term_variables(List,VC),
   get_next_rule_number(M,R),
   get_probs(HeadList,Probs),%***test single_var
   (M:local_setting(single_var,true)->
@@ -3164,7 +3160,7 @@
   append([phil:onec(AC)],BodyList2,BodyList3),
   list2and(BodyList3,Body2),
   append(HeadList,BodyList,List),
-  extract_vars_list(List,[],VC),
+  term_variables(List,VC),
   get_next_rule_number(M,R),
   get_probs(HeadList,Probs),%***test single_var
   (M:local_setting(single_var,true)->
@@ -3174,12 +3170,9 @@
   ).
 
 
-  
-
 term_expansion_int((Head :- Body),M,(Clauses,[def_rule(Head,BodyList,true)])) :-
   % definite clause senza DB
     %M:local_setting(compiling,on),
-    %trace,
     ((Head:-Body) \= ((system:term_expansion(_,_)) :- _ )),!,
     list2and(BodyList, Body),
     process_body(BodyList,AC,AC1,[],_Vars,BodyList2,Module,M),
@@ -3189,8 +3182,39 @@
     Clauses=(Head1 :- Body2).
 
 
+  term_expansion_int(Head,M, ((Head1:-phil:onec(Env,One)),[def_rule(Head,[],true)])) :-
+    M:local_setting(compiling,on),
+    M:local_setting(depth_bound,true),
+    %definite fact with db
+    (Head \= ((system:term_expansion(_,_) ):- _ )),
+    (Head\= end_of_file),!,
+    add_bdd_arg_db(Head,Env,One,_DB,_Module,Head1).
+  
+  term_expansion_int(Head,M, ((Head1:-phil:onec(Env,One)),[def_rule(Head,[],true)])) :-
+    M:local_setting(compiling,on),
+    %definite fact without db
+    (Head \= ((system:term_expansion(_,_) ):- _ )),
+    (Head\= end_of_file),!,
+    add_bdd_arg(Head,Env,One,_Module,Head1).
 
 
+  add_bdd_arg_db(A,Env,BDD,DB,A1):-
+    A=..[P|Args],
+    append(Args,[DB,Env,BDD],Args1),
+    A1=..[P|Args1].
+  
+  
+  add_bdd_arg(A,Env,BDD,Module,A1):-
+    A=..[P|Args],
+    append(Args,[Env,BDD],Args1),
+    A1=..[P,Module|Args1].
+  
+  
+  add_bdd_arg_db(A,Env,BDD,DB,Module,A1):-
+    A=..[P|Args],
+    append(Args,[DB,Env,BDD],Args1),
+    A1=..[P,Module|Args1].
+
 
   add_bdd_arg(A,BDD,A1):-
     A=..[P|Args],
@@ -3244,7 +3268,20 @@
 
 test_1fold(F,M,LGOrd,Pos,Neg,CLL1):-
   find_ex(F,M,LG,Pos,Neg),
-  compute_CLL_atoms(LG,M,0,0,CLL1,LG1),
+  format("Test: Positive examples=~g, Negative examples=~g ~n",[Pos,Neg]),
+  compute_CLL_atoms(LG,M,0,0,CLL1,LG1,[],Nodes),
+  M:local_setting(saveArthmeticCircuit,SaveCircuits),
+  (SaveCircuits=all->
+    M:local_setting(testingCircuitFile,CircuitFile),
+    writefile(Nodes,CircuitFile)
+  ;
+    ( SaveCircuits=testing ->
+      M:local_setting(testingCircuitFile,CircuitFile),
+      writefile(Nodes,CircuitFile)
+      ;
+      true
+     )
+  ),
   keysort(LG1,LGOrd).
 
 
@@ -3420,35 +3457,35 @@
   member(H,Co),
   neg_ex(T,M,TT,At1,C).
 
-compute_CLL_atoms([],_M,_N,CLL,CLL,[]):-!.
+compute_CLL_atoms([],_M,_N,CLL,CLL,[],Nodes,Nodes):-!.
 
-compute_CLL_atoms([],_M,_N,CLL,CLL,[]):-!.
+compute_CLL_atoms([],_M,_N,CLL,CLL,[],Nodes,Nodes):-!.
 
-compute_CLL_atoms([\+ H|T],M,N,CLL0,CLL1,[PG- (\+ H)|T1]):-!,
+compute_CLL_atoms([\+ H|T],M,N,CLL0,CLL1,[PG- (\+ H)|T1],Nodes0,Nodes):-!,
   findall(P,M:rule(_R,[_:P|_],_BL,_Lit),LR),
   abolish_all_tables,
   get_node(H,M,Circuit),!,
-  %writeln(Circuit),
+  CircuitNew = not(Circuit),
+  append(Nodes0,[CircuitNew],Nodes0_New),
   length(LR,NR),
   forward(Circuit,LR,NR,PG),
   PG1 is 1-PG,
   (PG1=:=0.0->
-    setting_sc(logzero,LZ),
+    M:local_setting(logzero,LZ),
     CLL2 is CLL0+LZ
   ;
     CLL2 is CLL0+ log(PG1)
   ),
   N1 is N+1,
-  compute_CLL_atoms(T,M,N1,CLL2,CLL1,T1).
+  compute_CLL_atoms(T,M,N1,CLL2,CLL1,T1,Nodes0_New,Nodes).
 
-compute_CLL_atoms([H|T],M,N,CLL0,CLL1,[PG-H|T1]):-
+compute_CLL_atoms([H|T],M,N,CLL0,CLL1,[PG-H|T1],Nodes0,Nodes):-
   findall(P,M:rule(_R,[_:P|_],_BL,_Lit),LR),
   abolish_all_tables,
   get_node(H,M,Circuit),!,
+  append(Nodes0,[Circuit],Nodes0_New),
   length(LR,NR),
   forward(Circuit,LR,NR,PG),
-  %writeln(Circuit),
-  
   (PG=:=0.0->
     M:local_setting(logzero,LZ),
     CLL2 is CLL0+LZ
@@ -3456,7 +3493,7 @@
     CLL2 is CLL0+ log(PG)
   ),
   N1 is N+1,
-  compute_CLL_atoms(T,M,N1,CLL2,CLL1,T1).
+  compute_CLL_atoms(T,M,N1,CLL2,CLL1,T1,Nodes0_New,Nodes).
 
 
 
diff --git a/packs_sys/logicmoo_agi/prolog/episodic_memory/adv_spider.pl b/packs_sys/logicmoo_agi/prolog/episodic_memory/adv_spider.pl
index 5cee40b2a0..321882fc09 100755
--- a/packs_sys/logicmoo_agi/prolog/episodic_memory/adv_spider.pl
+++ b/packs_sys/logicmoo_agi/prolog/episodic_memory/adv_spider.pl
@@ -82,6 +82,16 @@
 S1 gets the name of the tool from column 1 row 1 and finds a tool with the same name to offer the user.
 ").
 
+map_of(tool_table,
+"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ %   Column 1   |   Column 2    %
+ %--------------+---------------%
+ %              |               %
+ %              |               %
+ %              |               %
+ %              |               %
+ %              |               %
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%").
 example_mentalese(translating_english_to_event_calc, "
 
 ").
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/arc-dsl/solvers.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/arc-dsl/solvers.pl
index 0ecf6431e4..dcc6b17c10 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/arc-dsl/solvers.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/arc-dsl/solvers.pl
@@ -1,4 +1,3 @@
-
 /*
 
 from typing import (
@@ -285,8 +284,8 @@
     ].
 l_solve('3af2c5a8', IN, OUT) :-
     [ f(vmirror, IN:'Piece', X1:'Piece'),
-      f(hconcat, IN:'Grid', X1:'Grid', X2:'Grid'),
-      f(hmirror, X2:'Piece', X3:'Piece'),
+      f(hconcat, IN:'Grid', X1:'Grid', X2:'Grid'), 
+      f(hmirror, X2:'Piece', X3:'Piece'),      
       f(vconcat, X2:'Grid', X3:'Grid', OUT:'Grid')
     ].
 l_solve('44f52bb0', IN, OUT) :-
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_aleph.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_aleph.pl
index 4705e9ceb4..f9b6c5db8a 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_aleph.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_aleph.pl
@@ -1,3 +1,361 @@
+/** 
+?- aleph_sample:induce_tree(Program).
+*/
+%:- module(aleph_sample,[]).
+
+:- if(current_module(trill)).
+:- set_prolog_flag_until_eof(trill_term_expansion,false).
+:- endif.
+
+:- use_module(library(logicmoo_utils)).
+
+%:- use_module(h_muarc_alephlib).
+%:- use_module(aleph).
+:- use_module(library(slipcover)).
+
+:- if(current_predicate(use_rendering/1)).
+:- use_rendering(prolog).
+:- endif.
+
+%:- aleph.
+:- sc.
+:-style_check(-discontiguous).
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% specify tree type
+
+/*
+:- aleph_set(tree_type,model).
+:- aleph_set(evalfn,mse).
+:- aleph_set(minpos,2).       % minimum examples in leaf for splitting
+:- aleph_set(mingain,0.01).	% toy example needs this to be low
+:- aleph_set(dependent,2).	% second argument of f/2 is to predicted
+:- aleph_set(verbosity,10).
+%:- aleph_set(mingain,-1e10).
+*/
+
+:- aleph_set(verbosity, 2).
+:- aleph_set(interactive, false).
+:- aleph_set(i,10).
+:- aleph_set(clauselength,10).
+:- aleph_set(nodes,10000).
+
+% specify predicate definition to use for model construction
+:- model(zendo/1).
+
+output(zendo/1).
+input_cw(piece/2).
+input_cw(lhs/1).
+input_cw(lhs/1).
+input_cw(color/2).
+input_cw(cenGX/2).
+input_cw(cenGY/2).
+input_cw(size/2).
+input_cw(shape/2).
+
+
+:- modeh(*,[zendo(#state)],[lhs/1,rhs/1]).
+:- modeb(*,piece(+state,-piece)).
+:- modeb(*,lhs(#piece)).
+:- modeb(*,rhs(-piece)).
+:- modeb(*,color(+piece,#color)).
+:- modeb(*,size(+piece,-size_nat900)).
+:- modeb(*,shape(+piece,#shape_id)).
+%:- modeb(*,position(+piece,-hv_nat30,-hv_nat30)).
+%:- modeb(*,rotation(+piece,-rot_xform)).
+%:- modeb(*,orientation(+piece,#orientation)).
+:- modeb(*,cenGX(+piece,-hv_nat30)).
+:- modeb(*,cenGY(+piece,-hv_nat30)).
+%:- modeb(*,contact(+piece,-piece)).
+%:- modeb(*,child(+piece,-piece)).
+:- modeb(*,my_geq(+hv_nat30,#hv_nat30)).
+:- modeb(*,my_leq(+hv_nat30,#hv_nat30)).
+%:- modeb(*,my_gt(+hv_nat30,#hv_nat30)).
+%:- modeb(*,my_lt(+hv_nat30,#hv_nat30)).
+:- modeb(*,my_add(+hv_nat30,+hv_nat30,-hv_nat30)).
+:- modeb(*,my_mult(+hv_nat30,#hv_nat30,-hv_nat30)).
+
+
+:- determination(zendo/1,piece/2).
+:- determination(zendo/1,color/2).
+:- determination(zendo/1,size/2).
+:- determination(zendo/1,cenGX/2).
+:- determination(zendo/1,cenGY/2).
+:- determination(zendo/1,shape/2).
+:- determination(zendo/1,rhs/1).
+:- determination(zendo/1,lhs/1).
+%:- determination(rhs/1,lhs/1).
+%:- determination(zendo/1,position/3).
+%:- determination(zendo/1,rotation/2).
+%:- determination(zendo/1,orientation/2).
+%:- determination(zendo/1,contact/2).
+%:- determination(zendo/1,child/2).
+:- determination(zendo/1,my_geq/2).
+:- determination(zendo/1,my_leq/2).
+:- determination(zendo/1,my_gt/2).
+:- determination(zendo/1,my_lt/2).
+:- determination(zendo/1,my_add/3).
+:- determination(zendo/1,my_mult/3).
+
+:- lazy_evaluate(my_geq/2).
+:- lazy_evaluate(my_leq/2).
+:- lazy_evaluate(my_gt/2).
+:- lazy_evaluate(my_lt/2).
+%:- aleph_set(clauselength,5).
+
+:-begin_bg.
+
+
+my_add(A,B,C) :- nonvar(A), nonvar(B), between(1,30,A),between(1,30,B), C is A+B.
+my_add(A,B,C) :- nonvar(A), nonvar(C), between(1,30,A),between(1,30,B), B is C-A.
+my_add(A,B,C) :- nonvar(C), nonvar(B), between(1,30,A),between(1,30,B), A is C-B.
+
+
+my_mult(A,B,C) :- nonvar(A), nonvar(B), between(1,30,A),between(1,30,B), integer(A), integer(B), C is A*B.
+my_mult(A,B,C) :- nonvar(A), nonvar(C), between(1,30,A),between(1,30,B), \+(A=0), integer(A), integer(C), B is C/A.
+my_mult(A,B,C) :- nonvar(C), nonvar(B), between(1,30,A),between(1,30,B), \+(B=0), integer(B), integer(C), A is C/B.
+
+
+
+nlist([]).
+nlist([_|_]).
+
+
+% definition to use during lazy evaluation
+my_leq([P,N],Value):-
+      !,
+      sort_values(ascending,N,N1),
+      sort_values(descending,P,P1),
+      find_threshold_leq(P1,N1,Value).
+% definition to use during normal evaluation
+my_leq(X,Value):-
+      number(X), number(Value), !,
+      X =< Value.
+% definition to use during construction of bottom clause
+my_leq(X,X).
+
+
+find_threshold_leq([P|Ps],[N|Ns],X):-
+      N =< P, !,
+      find_threshold_leq(Ps,[N|Ns],X).
+find_threshold_leq([P|Ps],[N|Ns],X):-
+      X is (P+N)/2.
+
+% definition to use during lazy evaluation
+my_geq([P,N],Value):-
+      !,
+      sort_values(descending,N,N1),
+      sort_values(ascending,P,P1),
+      find_threshold_geq(P1,N1,Value).
+% definition to use during normal evaluation
+my_geq(X,Value):-
+      number(X), number(Value), !,
+  X >= Value.
+% definition to use during construction of bottom clause
+my_geq(X,X).
+
+
+find_threshold_geq([P|Ps],[N|Ns],X):-
+      P =< N, !,
+      find_threshold_geq(Ps,[N|Ns],X).
+find_threshold_geq([P|_],[N|_],X):-
+      X is (P+N)/2.
+
+
+% definition to use during lazy evaluation
+my_lt([P,N],Value):-
+      !,
+      sort_values(ascending,N,N1),
+      sort_values(descending,P,P1),
+      find_threshold_lt(P1,N1,Value).
+% definition to use during normal evaluation
+my_lt(X,Value):-
+      number(X), number(Value), !,
+      X >= Value.
+% definition to use during construction of bottom clause
+my_lt(X,X).
+
+find_threshold_lt([P|Ps],[N|Ns],X):-
+      N < P, !,
+      find_threshold_lt(Ps,[N|Ns],X).
+find_threshold_lt([P|_],[N|_],X):-
+      X is (P+N)/2.
+
+% definition to use during lazy evaluation
+my_gt([P,N],Value):-
+      !,
+      sort_values(descending,N,N1),
+      sort_values(ascending,P,P1),
+      find_threshold_gt(P1,N1,Value).
+% definition to use during normal evaluation
+my_gt(X,Value):-
+      number(X), number(Value), !,
+  X >= Value.
+% definition to use during construction of bottom clause
+my_gt(X,X).
+
+find_threshold_gt([P|Ps],[N|Ns],X):-
+      P < N, !,
+      find_threshold_gt(Ps,[N|Ns],X).
+find_threshold_gt([P|_],[N|_],X):-
+      X is (P+N)/2.
+
+
+
+sort_values(ascending,L,L1):-
+      sort(L,L1).
+sort_values(descending,L,L1):-
+      sort(L,L0),
+      reverse(L0,L1).
+
+
+
+
+%my_geq(A,A).
+my_geq(A,B) :- nonvar(B), !, A>=B.
+%my_leq(A,A).
+my_leq(A,B) :- nonvar(B), !, A=B.
+%my_lt(A,A).
+my_lt(A,B) :- nonvar(B), !, A
+?- induce(Program).
+*/
+:-end_bg.
+
+%:- begin_in.
+
+% Training #1
+begin(model(0)).
+pos.
+piece(0,obj_515_t_a79310a0_trn_0_in). 
+lhs(obj_515_t_a79310a0_trn_0_in). 
+cenGX(obj_515_t_a79310a0_trn_0_in,1).
+cenGY(obj_515_t_a79310a0_trn_0_in,1). 
+color(obj_515_t_a79310a0_trn_0_in,cyan). 
+size(obj_515_t_a79310a0_trn_0_in,4).
+shape(obj_515_t_a79310a0_trn_0_in,sid1111).
+
+piece(0,obj_737_t_a79310a0_trn_0_out). 
+rhs(obj_737_t_a79310a0_trn_0_out). 
+cenGX(obj_737_t_a79310a0_trn_0_out,1). 
+cenGY(obj_737_t_a79310a0_trn_0_out,2). 
+color(obj_737_t_a79310a0_trn_0_out,red). 
+size(obj_737_t_a79310a0_trn_0_out,4). 
+shape(obj_737_t_a79310a0_trn_0_out,sid1111).
+end(model(0)).
+
+% Training #2
+begin(model(1)).
+pos.
+pos(1).
+piece(1,obj_592_t_a79310a0_trn_1_in). 
+lhs(obj_592_t_a79310a0_trn_1_in). 
+cenGX(obj_592_t_a79310a0_trn_1_in,2). 
+cenGY(obj_592_t_a79310a0_trn_1_in,1). 
+color(obj_592_t_a79310a0_trn_1_in,cyan). 
+size(obj_592_t_a79310a0_trn_1_in,1). 
+shape(obj_592_t_a79310a0_trn_1_in,sid2222).
+
+piece(1,obj_40_t_a79310a0_trn_1_out). 
+rhs(obj_40_t_a79310a0_trn_1_out). 
+cenGX(obj_40_t_a79310a0_trn_1_out,2). 
+cenGY(obj_40_t_a79310a0_trn_1_out,2). 
+color(obj_40_t_a79310a0_trn_1_out,red). 
+size(obj_40_t_a79310a0_trn_1_out,1). 
+shape(obj_40_t_a79310a0_trn_1_out,sid2222).
+end(model(1)).
+
+
+% Training #3
+begin(model(2)).
+pos.
+piece(2,obj_107_t_a79310a0_trn_2_in). 
+lhs(obj_107_t_a79310a0_trn_2_in). 
+cenGX(obj_107_t_a79310a0_trn_2_in,2). 
+cenGY(obj_107_t_a79310a0_trn_2_in,2). 
+color(obj_107_t_a79310a0_trn_2_in,cyan). 
+size(obj_107_t_a79310a0_trn_2_in,3). 
+shape(obj_107_t_a79310a0_trn_2_in,sid1111).
+
+piece(2,obj_354_t_a79310a0_trn_2_out). 
+rhs(obj_354_t_a79310a0_trn_2_out). 
+cenGX(obj_354_t_a79310a0_trn_2_out,2). 
+cenGY(obj_354_t_a79310a0_trn_2_out,3). 
+color(obj_354_t_a79310a0_trn_2_out,red). 
+size(obj_354_t_a79310a0_trn_2_out,3). 
+shape(obj_354_t_a79310a0_trn_2_out,sid1111).
+end(model(2)).
+
+
+% Test #1
+piece(10,obj_105_t_a79310a0_tst_0_in). 
+lhs(obj_105_t_a79310a0_tst_0_in). 
+cenGX(obj_105_t_a79310a0_tst_0_in,2). 
+cenGY(obj_105_t_a79310a0_tst_0_in,1). 
+color(obj_105_t_a79310a0_tst_0_in,cyan). 
+size(obj_105_t_a79310a0_tst_0_in,4).
+shape(obj_105_t_a79310a0_tst_0_in,sid3333).
+
+rhs(obj_245_t_a79310a0_tst_0_out).
+% must predict output
+/*
+piece(10,obj_245_t_a79310a0_tst_0_out). 
+cenGX(obj_245_t_a79310a0_tst_0_out,2). 
+cenGY(obj_245_t_a79310a0_tst_0_out,2). 
+color(obj_245_t_a79310a0_tst_0_out,red). 
+size(obj_245_t_a79310a0_tst_0_out,4). 
+shape(obj_245_t_a79310a0_tst_0_out,sid3333).
+*/
+
+%:- end_in.
+:-end_bg.
+
+%:-begin_in_pos.
+zendo(0).
+zendo(1).
+zendo(2).
+zendo(10).
+%:-end_in_pos.
+:-begin_in_neg.
+
+:-end_in_neg.
+
+
+
+%:- fixup_exports.
+
+%:- module(user).
+%:- user:ensure_loaded('../kaggle_arc').
+%:- module(aleph_sample).
+:- wdmsg("% try:  ?- aleph_sample:induce_tree(Program),!,pp(Program). ").
+
+aa:- nodebug,notrace,cls,(aleph_sample:induce_tree(Program)),notrace,!,pp(Program).
+
+end_of_file.
+
+
 % Simple illustration of constructing tree-based models within Aleph
 % To run do the following:
 %       a. Load Aleph
@@ -29,21 +387,6 @@
 %                      = -x + 1 ( x > -0.5)
 % adding more examples rectifies this: see wedge.f
 
-/** 
-?- induce_tree(Program).
-*/
-
-:- include(kaggle_arc_header).
-
-:- if(current_module(trill)).
-:- set_prolog_flag_until_eof(trill_term_expansion,false).
-:- endif.
-
-:- use_module(library(aleph)).
-:- if(current_predicate(use_rendering/1)).
-:- use_rendering(prolog).
-:- endif.
-:- aleph.
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % specify tree type
@@ -85,35 +428,35 @@
 % Background
 
 lteq(X,Y):-
-        var(Y), !,
-        X = Y.
+      var(Y), !,
+      X = Y.
 lteq(X,Y):-
-        number(X), number(Y),
-        X =< Y.
+      number(X), number(Y),
+      X =< Y.
 
 % definition for model construction (parameter estimation)
 predict(X,Y,[M,C,Sd]):-
-	list(X),
-	list(Y), !,
-	l_regress1(Y,X,M,C,Sd).
+list(X),
+list(Y), !,
+l_regress1(Y,X,M,C,Sd).
 % definition for prediction
 predict(X,Y,[M,C,_]):-
-	number(X), var(Y), !,
-	Y is M*X + C.
+number(X), var(Y), !,
+Y is M*X + C.
 % definition for model checking
 predict(X,Y,[M,C,Sd]):-
-	number(Y), number(X), !,
-	Y1 is M*X + C,
-	Diff is Y - Y1,
-	abs_val(Diff,ADiff),
-	ADiff =< 3*Sd.
+number(Y), number(X), !,
+Y1 is M*X + C,
+Diff is Y - Y1,
+abs_val(Diff,ADiff),
+ADiff =< 3*Sd.
 
 % very simple univariate linear regression
 l_regress1([YVals|_],[XVals|_],M,C,0.0):-
-        YVals = [Y1,Y2|_],
-        XVals = [X1,X2|_],
-        M is (Y2-Y1)/(X2-X1),
-        C is Y1 - M*X1.
+      YVals = [Y1,Y2|_],
+      XVals = [X1,X2|_],
+      M is (Y2-Y1)/(X2-X1),
+      C is Y1 - M*X1.
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % Constraints
@@ -142,7 +485,7 @@
 
 f(-1.0,0.0).
 f(-0.5,0.5).
- f(-0.25,0.75).	% adding this results in the correct theory
+% f(-0.25,0.75).	% adding this results in the correct theory
 f(0.0,1.0).
 f(0.5,0.5).
 f(1.0,0.0).
@@ -152,5 +495,5 @@
 :-end_in_neg.
 
 
-:- fixup_exports.
+
 
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_alephlib.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_alephlib.pl
index 3a5cce26b0..db4ff66398 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_alephlib.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_alephlib.pl
@@ -159,7 +159,7 @@
 
 system:term_expansion((:- aleph), []) :-
   prolog_load_context(module, M),
-  arc_assert(aleph_input_mod(M)),!,
+  assert(aleph_input_mod(M)),!,
   initialize(M).
 
 aleph_module(M):-aleph_input_mod(M),!.
@@ -172,7 +172,7 @@
 	% aleph:aleph_manual(Man),
 	% write('Manual: '),
 	% write(Man), nl, nl,
-	aleph:aleph_version(V), aleph:set(version,V,M), aleph:reset(M),
+	aleph:aleph_version(V), aleph:aleph_set_m(version,V,M), aleph:reset(M),
   %findall(local_setting(P,V),default_setting_sc(P,V),L),
   %assert_all(L,M,_),
 	M:dynamic((pos_on/0,neg_on/0,bg_on/0,incneg/1,incpos/1,in/1,bgc/1,bg/1)),
@@ -203,26 +203,27 @@
  '$aleph_determination'/2,
  '$aleph_search_seen'/2)),
   M:dynamic((prune/1,cost/3,example/3,aleph_portray/1)),
+  M:multifile((prune/1,cost/3,example/3,aleph_portray/1)),
   style_check(-discontiguous),
   aleph:init(swi,M),
-  arc_assert(M:(reduce:-reduce(_))),
-  arc_assert(M:(induce_constraints:-induce_constraints(_))),
-  arc_assert(M:(induce_modes:-induce_modes(_))),
-  arc_assert(M:(induce_incremental:-induce_incremental(_))),
-  arc_assert(M:(induce_clauses:-induce_clauses(_))),
-  arc_assert(M:(induce:-induce(_))),
-  arc_assert(M:(induce_tree:-induce_tree(_))),
-  arc_assert(M:(induce_max:-induce_max(_))),
-  arc_assert(M:(induce_cover:-induce_cover(_))),
-  arc_assert(M:(induce_theory:-induce_theory(_))),
-  arc_assert(M:(induce_features:-induce_features(_))),
-  arc_assert(M:(rdhyp:-rdhyp(_))),
-  arc_assert(M:(sphyp:-sphyp_i(_))),
-  arc_assert(M:(addgcws:-addgcws_i(_))),
-  arc_assert(M:(rmhyp:-rmhyp_i(_))),
-  arc_assert(M:(addhyp:-addhyp_i(_))),
-  arc_assert(M:(covers:-covers(_))),
-  arc_assert(M:(coversn:-coversn(_))),
+  assert(M:(reduce:-reduce(_))),
+  assert(M:(induce_constraints:-induce_constraints(_))),
+  assert(M:(induce_modes:-induce_modes(_))),
+  assert(M:(induce_incremental:-induce_incremental(_))),
+  assert(M:(induce_clauses:-induce_clauses(_))),
+  assert(M:(induce:-induce(_))),
+  assert(M:(induce_tree:-induce_tree(_))),
+  assert(M:(induce_max:-induce_max(_))),
+  assert(M:(induce_cover:-induce_cover(_))),
+  assert(M:(induce_theory:-induce_theory(_))),
+  assert(M:(induce_features:-induce_features(_))),
+  assert(M:(rdhyp:-rdhyp(_))),
+  assert(M:(sphyp:-sphyp_i(_))),
+  assert(M:(addgcws:-addgcws_i(_))),
+  assert(M:(rmhyp:-rmhyp_i(_))),
+  assert(M:(addhyp:-addhyp_i(_))),
+  assert(M:(covers:-covers(_))),
+  assert(M:(coversn:-coversn(_))),
 
   aleph:clean_up(M),
   retractall(M:example(_,_,_)),
@@ -232,7 +233,7 @@
 system:term_expansion((:- begin_bg), []) :-
   prolog_load_context(module, M),
   aleph_input_mod(M),!,
-  arc_assert(M:bg_on).
+  assert(M:bg_on).
 
 system:term_expansion(C, C) :-
   C\= (:- end_bg),
@@ -249,14 +250,14 @@
  % (M:bg(BG0)->
  %   retract(M:bg(BG0)),
  %   my_append(BG0,L,BG),
- %   arc_assert(M:bg(BG))
+ %   assert(M:bg(BG))
  % ;
  %   assert_all(L,M,_)
  % ).
 system:term_expansion((:- begin_in_pos), []) :-
   prolog_load_context(module, M),
   aleph_input_mod(M),!,
-  arc_assert(M:pos_on),
+  assert(M:pos_on),
   clean_up_examples(pos,M),
 	asserta(M:'$aleph_global'(size,size(pos,0))).
 	
@@ -277,9 +278,9 @@
 %    retract(M:in(IN0)),%
 %	
 %    my_append(IN0,L,IN),
-%    arc_assert(M:in(IN))
+%    assert(M:in(IN))
 %  ;
-%    arc_assert(M:in(L))
+%    assert(M:in(L))
 %  ).
 
 %%%%%%
@@ -287,7 +288,7 @@
 system:term_expansion((:- begin_in_neg), []) :-
   prolog_load_context(module, M),
   aleph_input_mod(M),!,
-  arc_assert(M:neg_on),
+  assert(M:neg_on),
 	aleph:clean_up_examples(neg,M),
 	asserta(M:'$aleph_global'(size,size(neg,0))).
 
@@ -315,7 +316,7 @@
 system:term_expansion(:- aleph_set(A,B), []) :-
   prolog_load_context(module, M),
   aleph_input_mod(M),!,
-  aleph:set(A,B,M).
+  aleph:aleph_set_m(A,B,M).
 
 system:term_expansion(:- determination(A,B), []) :-
   prolog_load_context(module, M),
@@ -333,9 +334,9 @@
 %    retract(M:in(IN0)),
 	
 %    my_append(IN0,L,IN),
-%    arc_assert(M:in(IN))
+%    assert(M:in(IN))
 %  ;
-%    arc_assert(M:in(L))
+%    assert(M:in(L))
 %  ).
  system:term_expansion((:- aleph_read_all), []) :-
         prolog_load_context(module, M),
@@ -367,9 +368,9 @@
 	asserta(M:'$aleph_global'(atoms_left,atoms_left(neg,ExN))),
 	asserta(M:'$aleph_global'(last_example,last_example(neg,NN))),
 	set_lazy_recalls(M),
-	(setting(prior,_,M) -> true;
+	(aleph_setting_m(prior,_,M) -> true;
 		normalise_distribution([NP-pos,NN-neg],Prior),
-		set(prior,Prior,M)
+		aleph_set_m(prior,Prior,M)
 	).
 
 assert_all([],_M,[]).
@@ -433,20 +434,20 @@
 	style_check(-discontiguous),
 	M:dynamic(aleph_false/0),
 	M:dynamic(example/3),
-	arc_assert((depth_bound_call(G,L,M):-
+	assert((depth_bound_call(G,L,M):-
 			call_with_depth_limit(M:G,L,R),
 			R \= depth_limit_exceeded)),
 	(predicate_property(numbervars(_,_,_),built_in) -> true;
-		arc_assert((numbervars(A,B,C):- numbervars(A,'$VAR',B,C)))),
-	arc_assert((system(X):- shell(X))),
-	arc_assert((exists(X):- exists_file(X))), 
-	arc_assert((aleph_reconsult(F):- consult(F))),
-	%arc_assert((aleph_random(X):- I = 1000000, X is float(random(I-1))/float(I))),
+		assert((numbervars(A,B,C):- numbervars(A,'$VAR',B,C)))),
+	assert((system(X):- shell(X))),
+	assert((exists(X):- exists_file(X))), 
+	assert((aleph_reconsult(F):- consult(F))),
+	%assert((aleph_random(X):- I = 1000000, X is float(random(I-1))/float(I))),
         (predicate_property(thread_local(_),built_in) -> true;
-		arc_assert(thread_local(_))),
+		assert(thread_local(_))),
 	
 	(predicate_property(delete_file(_),built_in) -> true;
-		arc_assert(delete_file(_))).
+		assert(delete_file(_))).
 
 aleph_background_predicate(Lit,M):-
 				predicate_property(M:Lit,P),
@@ -539,7 +540,7 @@
 	retractall(M:'$aleph_local'(flatten_num,_)),
 	asserta(M:'$aleph_local'(flatten_num,Last)),
 	M:'$aleph_sat_atom'(_,_),!,
-	(setting(permute_bottom,Permute,M) -> true; Permute = false),
+	(aleph_setting_m(permute_bottom,Permute,M) -> true; Permute = false),
 	flatten_atoms(Permute,Depth,MaxDepth,Last1,M).
 flatten(_,_,_,Last,M):-
 	retract(M:'$aleph_local'(flatten_num,Last)), !.
@@ -722,7 +723,7 @@
 % modify the literal database: check if performing lazy evaluation
 % of bottom clause, and update input and output terms in literal
 add_lit(Last,Negated,FAtom,I,O,_,_,Last,M):-
-	setting(construct_bottom,CBot,M),
+	aleph_setting_m(construct_bottom,CBot,M),
 	(CBot = false ; CBot = reduction), 
 	(Negated = true -> Lit = not(FAtom); Lit = FAtom),
 	M:'$aleph_sat_litinfo'(_,0,Lit,I,O,_), !.
@@ -904,13 +905,13 @@
 % process continues until there is no change in the length of a clause
 % within an iteration. The algorithm is O(n^2).
 rm_nreduce(Last,N,M):-
-	setting(nreduce_bottom,true,M), !,
+	aleph_setting_m(nreduce_bottom,true,M), !,
 	get_litnums(1,Last,BottomLits,M),
         M:'$aleph_global'(atoms,atoms(neg,Neg)),
-	setting(depth,Depth,M),
-	setting(prooftime,Time,M),
-	setting(proof_strategy,Proof,M),
-	setting(noise,Noise,M),
+	aleph_setting_m(depth,Depth,M),
+	aleph_setting_m(prooftime,Time,M),
+	aleph_setting_m(proof_strategy,Proof,M),
+	aleph_setting_m(noise,Noise,M),
 	neg_reduce(BottomLits,Neg,Last,Depth/Time/Proof,Noise,M),
 	get_marked(1,Last,Lits,M),
 	length(Lits,N),
@@ -1048,7 +1049,7 @@
 % or produce outputs that are not used by any literal
 % controlled by setting flag check_useless
 rm_uselesslits(_,0,M):-
-	setting(check_useless,false,M), !.
+	aleph_setting_m(check_useless,false,M), !.
 rm_uselesslits(Last,N,M):-
 	M:'$aleph_sat'(hovars,OVars),
 	OVars \= [], !,
@@ -1064,7 +1065,7 @@
 % call user-defined predicate redundant/2 to remove redundant
 % literals from bottom clause. Redundancy checking only done on request
 rm_redundant(_,0,M):-
-	setting(check_redundant,false,M), !.
+	aleph_setting_m(check_redundant,false,M), !.
 rm_redundant(Last,N,M):-
 	mark_redundant_lits(1,Last,M),
 	get_marked(1,Last,Lits,M),
@@ -1213,7 +1214,7 @@
 
 
 split_vars(Depth,FAtom,I,O,C,SplitAtom,IVars,OVars,Equivs,M):-
-	setting(splitvars,true,M), !,
+	aleph_setting_m(splitvars,true,M), !,
         get_args(FAtom,I,[],IVarList),
         get_args(FAtom,O,[],OVarList),
 	get_var_equivs(Depth,IVarList,OVarList,IVars,OVars0,Equivs0),
@@ -1485,56 +1486,56 @@
 
 get_search_settings(S,M):-
         functor(S,set,47),
-	setting(nodes,MaxNodes,M), arg(1,S,MaxNodes),
-	setting(explore,Explore,M), arg(2,S,Explore),
-	setting(refineop,RefineOp,M), arg(3,S,RefineOp),
-	setting(searchstrat,SearchStrat,M), setting(evalfn,EvalFn,M),
+	aleph_setting_m(nodes,MaxNodes,M), arg(1,S,MaxNodes),
+	aleph_setting_m(explore,Explore,M), arg(2,S,Explore),
+	aleph_setting_m(refineop,RefineOp,M), arg(3,S,RefineOp),
+	aleph_setting_m(searchstrat,SearchStrat,M), aleph_setting_m(evalfn,EvalFn,M),
 	arg(4,S,SearchStrat/EvalFn),
-	(setting(greedy,Greedy,M)-> arg(5,S,Greedy); arg(5,S,false)),
-	setting(verbosity,Verbose,M), arg(6,S,Verbose),
-	setting(clauselength,CLength,M), arg(7,S,CLength),
-	setting(caching,Cache,M), arg(8,S,Cache),
-	(setting(prune_defs,Prune,M)-> arg(9,S,Prune); arg(9,S,false)),
-	setting(lazy_on_cost,LCost,M), arg(10,S,LCost),
-	setting(lazy_on_contradiction,LContra,M), arg(11,S,LContra),
-	setting(lazy_negs,LNegs,M), arg(12,S,LNegs),
-	setting(minpos,MinPos,M), arg(13,S,MinPos),
-	setting(depth,Depth,M), arg(14,S,Depth),
-	setting(cache_clauselength,CCLim,M), arg(15,S,CCLim),
+	(aleph_setting_m(greedy,Greedy,M)-> arg(5,S,Greedy); arg(5,S,false)),
+	aleph_setting_m(verbosity,Verbose,M), arg(6,S,Verbose),
+	aleph_setting_m(clauselength,CLength,M), arg(7,S,CLength),
+	aleph_setting_m(caching,Cache,M), arg(8,S,Cache),
+	(aleph_setting_m(prune_defs,Prune,M)-> arg(9,S,Prune); arg(9,S,false)),
+	aleph_setting_m(lazy_on_cost,LCost,M), arg(10,S,LCost),
+	aleph_setting_m(lazy_on_contradiction,LContra,M), arg(11,S,LContra),
+	aleph_setting_m(lazy_negs,LNegs,M), arg(12,S,LNegs),
+	aleph_setting_m(minpos,MinPos,M), arg(13,S,MinPos),
+	aleph_setting_m(depth,Depth,M), arg(14,S,Depth),
+	aleph_setting_m(cache_clauselength,CCLim,M), arg(15,S,CCLim),
         (M:'$aleph_global'(size,size(pos,PSize))-> arg(16,S,PSize); arg(16,S,0)),
-	setting(noise,Noise,M), arg(17,S,Noise),
-	setting(minacc,MinAcc,M), arg(18,S,MinAcc),
-	setting(minscore,MinScore,M), arg(19,S,MinScore),
+	aleph_setting_m(noise,Noise,M), arg(17,S,Noise),
+	aleph_setting_m(minacc,MinAcc,M), arg(18,S,MinAcc),
+	aleph_setting_m(minscore,MinScore,M), arg(19,S,MinScore),
         (M:'$aleph_global'(size,size(rand,RSize))-> arg(20,S,RSize); arg(20,S,0)),
-	setting(mingain,MinGain,M), arg(21,S,MinGain),
-	setting(search,Search,M), arg(22,S,Search),
+	aleph_setting_m(mingain,MinGain,M), arg(21,S,MinGain),
+	aleph_setting_m(search,Search,M), arg(22,S,Search),
 	findall(PN/PA,M:'$aleph_global'(lazy_evaluate,lazy_evaluate(PN/PA)),LazyPreds),
 	arg(23,S,LazyPreds),
         (M:'$aleph_global'(size,size(neg,NSize))-> arg(24,S,NSize); arg(24,S,0)),
-	setting(openlist,OSize,M), arg(25,S,OSize),
-        setting(check_redundant,RCheck,M), arg(26,S,RCheck),
+	aleph_setting_m(openlist,OSize,M), arg(25,S,OSize),
+        aleph_setting_m(check_redundant,RCheck,M), arg(26,S,RCheck),
         (M:'$aleph_sat'(eq,Eq) -> arg(27,S,Eq); arg(27,S,false)),
         (M:'$aleph_sat'(hovars,HOVars) -> arg(28,S,HOVars); arg(28,S,_HOVars)),
-	setting(prooftime,PTime,M), arg(29,S,PTime),
-	setting(construct_bottom,CBott,M), arg(30,S,CBott),
+	aleph_setting_m(prooftime,PTime,M), arg(29,S,PTime),
+	aleph_setting_m(construct_bottom,CBott,M), arg(30,S,CBott),
 	(get_ovars1(false,1,HIVars,M) ->  arg(31,S,HIVars); arg(31,S,[])),
-	setting(language,Lang,M), arg(32,S,Lang),
-	setting(splitvars,Split,M), arg(33,S,Split),
-	setting(proof_strategy,Proof,M), arg(34,S,Proof),
-	setting(portray_search,VSearch,M), arg(35,S,VSearch),
-	setting(searchtime,Time,M), arg(36,S,Time),
-	setting(optimise_clauses,Optim,M), arg(37,S,Optim),
-	setting(newvars,NewV,M), arg(38,S,NewV),
-	(setting(rls_type,RlsType,M) -> arg(39,S,RlsType);arg(39,S,false)),
-	setting(minposfrac,MinPosFrac,M), arg(40,S,MinPosFrac),
-	(setting(recursion,_Recursion,M) -> true; _Recursion = false),
+	aleph_setting_m(language,Lang,M), arg(32,S,Lang),
+	aleph_setting_m(splitvars,Split,M), arg(33,S,Split),
+	aleph_setting_m(proof_strategy,Proof,M), arg(34,S,Proof),
+	aleph_setting_m(portray_search,VSearch,M), arg(35,S,VSearch),
+	aleph_setting_m(searchtime,Time,M), arg(36,S,Time),
+	aleph_setting_m(optimise_clauses,Optim,M), arg(37,S,Optim),
+	aleph_setting_m(newvars,NewV,M), arg(38,S,NewV),
+	(aleph_setting_m(rls_type,RlsType,M) -> arg(39,S,RlsType);arg(39,S,false)),
+	aleph_setting_m(minposfrac,MinPosFrac,M), arg(40,S,MinPosFrac),
+	(aleph_setting_m(recursion,_Recursion,M) -> true; _Recursion = false),
 	prolog_type(Prolog), arg(41,S,Prolog),
-	setting(interactive,Interactive,M), arg(42,S,Interactive),
-	setting(lookahead,LookAhead,M), arg(43,S,LookAhead),
-	(setting(construct_features,Features,M)-> arg(44,S,Features); arg(44,S,false)),
-	setting(max_features,FMax,M), arg(45,S,FMax),
-	setting(subsample,SS,M), arg(46,S,SS),
-	setting(subsamplesize,SSize,M), arg(47,S,SSize).
+	aleph_setting_m(interactive,Interactive,M), arg(42,S,Interactive),
+	aleph_setting_m(lookahead,LookAhead,M), arg(43,S,LookAhead),
+	(aleph_setting_m(construct_features,Features,M)-> arg(44,S,Features); arg(44,S,false)),
+	aleph_setting_m(max_features,FMax,M), arg(45,S,FMax),
+	aleph_setting_m(subsample,SS,M), arg(46,S,SS),
+	aleph_setting_m(subsamplesize,SSize,M), arg(47,S,SSize).
 
 % stop search from proceeding if certain
 % conditions are reached. These are:
@@ -2062,17 +2063,17 @@
 	extract_pos(Label,P),
 	extract_neg(Label,N),
 	Acc is P/(P+N),
-	setting(noise,Noise,M),
-	setting(minacc,MinAcc,M),
-	setting(minpos,MinPos,M),
+	aleph_setting_m(noise,Noise,M),
+	aleph_setting_m(minacc,MinAcc,M),
+	aleph_setting_m(minpos,MinPos,M),
 	(N > Noise; Acc < MinAcc; P < MinPos), !, fail.
 clause_ok(Clause,_,M):-
 	M:prune(Clause), !, fail.
 clause_ok(Clause,_,M):-
-	setting(language,Lang,M),
+	aleph_setting_m(language,Lang,M),
 	\+ lang_ok(Clause,Lang), !, fail.
 clause_ok(Clause,_,M):-
-	setting(newvars,NewVars,M),
+	aleph_setting_m(newvars,NewVars,M),
 	\+ newvars_ok(Clause,NewVars), !, fail.
 clause_ok(_,_,_M).
 
@@ -2250,7 +2251,7 @@
 	split_clause(CClause,CHead,CBody),
 	example_saturated(CHead,M),
 	store(stage,M),
-	set(stage,saturation,M),
+	aleph_set_m(stage,saturation,M),
 	match_lazy_bottom1(CBody,M),
 	reinstate(stage,M),
 	match_bot_lits(AlephClause,[],Lits,M).
@@ -2284,7 +2285,7 @@
 match_mode(_,_,_M).
 
 flatten_matched_atoms(Loc,M):-
-        setting(i,IVal,M),
+        aleph_setting_m(i,IVal,M),
         (retract(M:'$aleph_sat'(botsize,BSize))-> true;  BSize = 0),
         (retract(M:'$aleph_sat'(lastlit,Last))-> true ; Last = 0),
         (Loc = head ->
@@ -2655,14 +2656,14 @@
         record_clause(good,Label1,Clause,Node1,M).
 
 update_good(Label,Clause,M):- 
-	setting(good,true,M), !,
+	aleph_setting_m(good,true,M), !,
 	Label = [_,_,L|_],
-	setting(check_good,Flag,M),
+	aleph_setting_m(check_good,Flag,M),
 	update_good(Flag,L,Label,Clause,M).
 update_good(_,_,_M).
 
 update_good(_,_,_,_,M):-
-	setting(goodfile,_,M), !.
+	aleph_setting_m(goodfile,_,M), !.
 update_good(true,L,Label,Clause,M):-
 	M:'$aleph_good'(L,Label,Clause), !.
 update_good(_,L,Label,Clause,M):-
@@ -2773,11 +2774,11 @@
 % within randomised local search
 select_nextbest(rls,NodeRef,M):-
 	retractall(M:'$aleph_search'(nextnode,_)),
-        setting(rls_type,Type,M),
+        aleph_setting_m(rls_type,Type,M),
         (retract(M:'$aleph_search'(rls_parentstats,stats(PStats,_,_))) -> true; true),
         (rls_nextbest(Type,PStats,NodeRef,Label,M) ->
                 asserta(M:'$aleph_search'(rls_parentstats,stats(Label,[],[]))),
-                setting(rls_type,RlsType,M),
+                aleph_setting_m(rls_type,RlsType,M),
                 (RlsType = rrr ->
                       true;
                       assertz(M:'$aleph_search'(nextnode,NodeRef)));
@@ -2810,7 +2811,7 @@
 	aleph_remove_nth(N,Choices,NodeRef-Label,_),
 	retractall(M:'$aleph_search_gain'(_,_,_,_)).
 rls_nextbest(wsat,PStats,NodeRef,Label,M):-
-	setting(walk,WProb,M),
+	aleph_setting_m(walk,WProb,M),
 	aleph_random(P),
 	P >= WProb, !,
 	rls_nextbest(gsat,PStats,NodeRef,Label,M).
@@ -2825,7 +2826,7 @@
         aleph_remove_nth(N,Choices,NodeRef-Label,_),
 	retractall(M:'$aleph_search_gain'(_,_,_,_)).
 rls_nextbest(anneal,[P,N|_],NodeRef,Label,M):-
-	setting(temperature,Temp,M),
+	aleph_setting_m(temperature,Temp,M),
         retract(M:'$aleph_search'(openlist,_)),
 	asserta(M:'$aleph_search'(openlist,[])),
 	findall(N-L,M:'$aleph_search_gain'(_,_,N,L),AllNodes),
@@ -3250,7 +3251,7 @@
 	
 add_prune_cache(false,_M):- !.
 add_prune_cache(Entry,M):-
-	(M:'$aleph_global'(caching,set(caching,true))->
+	(M:'$aleph_global'(caching,aleph_set_m(caching,true))->
 		functor(Entry,_,Arity),
 		A1 is Arity - 2,
 		arg(A1,Entry,Clause),
@@ -3297,7 +3298,7 @@
 % T R E E S
 
 construct_tree(Type,M):-
-	setting(searchtime,Time,M),
+	aleph_setting_m(searchtime,Time,M),
 	Inf is inf,
         Time =\= Inf,
         SearchTime is integer(Time),
@@ -3320,7 +3321,7 @@
 	get_start_distribution(Type,Distribution,M),
 	asserta(M:'$aleph_search'(tree_startdistribution,d(Type,Distribution))),
 	M:'$aleph_global'(atoms_left,atoms_left(pos,Pos)),
-	setting(dependent,Argno,M),
+	aleph_setting_m(dependent,Argno,M),
 	p_message('constructing tree'),
 	stopwatch(StartClock),
 	get_search_settings(S,M),
@@ -3337,17 +3338,17 @@
 
 get_start_distribution(regression,0-[0,0],_M):- !.
 get_start_distribution(model,0-[0,0],M):-
-	setting(evalfn,mse,M), !.
+	aleph_setting_m(evalfn,mse,M), !.
 get_start_distribution(model,0-Distribution,M):- 
-	setting(evalfn,accuracy,M), !,
-	(setting(classes,Classes,M) -> true;
+	aleph_setting_m(evalfn,accuracy,M), !,
+	(aleph_setting_m(classes,Classes,M) -> true;
 		!,
 		p_message('missing setting for classes'),
 		fail),
 	initialise_distribution(Classes,Distribution), !.
 get_start_distribution(Tree,0-Distribution,M):-
 	(Tree = classification; Tree = class_probability),
-	(setting(classes,Classes,M) -> true;
+	(aleph_setting_m(classes,Classes,M) -> true;
 		!,
 		p_message('missing setting for classes'),
 		fail),
@@ -3375,7 +3376,7 @@
 	find_tree1(LeavesLeft,S,Type,Predict,M).
 
 prune_rules(S,Tree,Predict,M):-
-	setting(prune_tree,true,M), 
+	aleph_setting_m(prune_tree,true,M), 
 	prune_rules1(Tree,S,Predict,M), !.
 prune_rules(_,_,_,_M).
 
@@ -3420,7 +3421,7 @@
 
 % estimate error using binomial distribution as done in C4.5
 estimate_error(classification,Incorrect,Total,Error,M):-
-	setting(confidence,Conf,M),
+	aleph_setting_m(confidence,Conf,M),
 	estimate_error(1.0/0.0,0.0/1.0,Conf,Total,Incorrect,Error).
 
 % estimate upper bound on sample std deviation by
@@ -3429,7 +3430,7 @@
 % variance is (n-1)s^2/X^2(alpha/2) =< var =< (n-1)s^2/X^2(1-alpha/2)
 estimate_error(regression,Sd,1,Sd,_M):- !.
 estimate_error(regression,Sd,N,Upper,M):-
-	(setting(confidence,Conf,M) -> true; Conf = 0.95),
+	(aleph_setting_m(confidence,Conf,M) -> true; Conf = 0.95),
 	Alpha is 1.0 - Conf,
 	DF is N - 1,
 	Prob is 1 - Alpha/2,
@@ -3437,7 +3438,7 @@
 	Upper is Sd*sqrt((N-1)/ChiSq).
 
 bound_error(classification,Error,Total,Lower,Upper,M):-
-	(setting(confidence,Alpha,M) -> true; Alpha = 0.95),
+	(aleph_setting_m(confidence,Alpha,M) -> true; Alpha = 0.95),
 	approx_z(Alpha,Z),
 	Lower is Error - Z*sqrt(Error*(1-Error)/Total),
 	Upper is Error + Z*sqrt(Error*(1-Error)/Total).
@@ -3501,7 +3502,7 @@
 add_prediction(Tree,Clause,PredictArg,Examples,Clause1,M):-
 	split_clause(Clause,Head,_),
 	(Tree = model ->
-		setting(evalfn,Evalfn,M),
+		aleph_setting_m(evalfn,Evalfn,M),
 		add_model(Evalfn,Clause,PredictArg,Examples,Clause1,_,_,M);
 		node_stats(Tree,Examples,PredictArg,Distribution,M),
 		leaf_prediction(Tree,Distribution,Prediction,Error),
@@ -3842,7 +3843,7 @@
 % examine list of clauses to be specialised
 % generate an exception theory for each clause that covers negative examples
 gcws(M):-
-	setting(evalfn,EvalFn,M),
+	aleph_setting_m(evalfn,EvalFn,M),
 	repeat,
 	retract(M:'$aleph_search'(sphyp,hypothesis([P,N,L|T],Clause,PCover,NCover))),
 	(PCover = _/_ -> label_create(pos,Clause,Label1,M),
@@ -3857,8 +3858,8 @@
 		N1 = N),
 	(N1 = 0 -> NewClause = Clause, NewLabel = [P1,N1,L|T];
 		MinAcc is P1/(2*P1 - 1),
-		set(minacc,MinAcc,M),
-		set(noise,N1,M),
+		aleph_set_m(minacc,MinAcc,M),
+		aleph_set_m(noise,N1,M),
 		gcws(Clause,PCover1,NCover1,NewClause,M),
 		L1 is L + 1,
 		complete_label(EvalFn,NewClause,[P,0,L1],NewLabel,M)),
@@ -3888,7 +3889,7 @@
 % each clause obtained is added to list of clauses to be specialised 
 cwinduce(M):-
 	store(greedy,M),
-        set(greedy,true,M),
+        aleph_set_m(greedy,true,M),
         M:'$aleph_global'(atoms_left,atoms_left(pos,PosSet)),
         PosSet \= [],
         repeat,
@@ -4087,7 +4088,7 @@
 	sat(uspec,Num,M), !.
 
 sat(Type,Num,M):-
-        setting(construct_bottom,false,M), !,
+        aleph_setting_m(construct_bottom,false,M), !,
         sat_prelims(M),
 	M:example(Num,Type,Example),
 	broadcast(start(sat(Num))),
@@ -4097,7 +4098,7 @@
 	asserta(M:'$aleph_sat'(hovars,[])),
 	broadcast(end(sat(Num, 0, 0.0))).
 sat(Type,Num,M):-
-	setting(construct_bottom,reduction,M), !,
+	aleph_setting_m(construct_bottom,reduction,M), !,
 	sat_prelims(M),
 	M:example(Num,Type,Example),
 	broadcast(start(sat(Num))),
@@ -4108,7 +4109,7 @@
 	asserta(M:'$aleph_sat'(hovars,HeadOVars)),
 	broadcast(end(sat(Num, 0, 0.0))).
 sat(Type,Num,M):-
-	set(stage,saturation,M),
+	aleph_set_m(stage,saturation,M),
 	sat_prelims(M),
 	M:example(Num,Type,Example),
 	broadcast(start(sat(Num))),
@@ -4119,7 +4120,7 @@
 	integrate_args(unknown,Example,Output,M),
 	stopwatch(StartClock),
 	assertz(M:'$aleph_sat_atom'(Example,mode(Mode,Output,Input,Constants))),
-	M:'$aleph_global'(i,set(i,Ival)),
+	M:'$aleph_global'(i,aleph_set_m(i,Ival)),
 	flatten(0,Ival,0,Last1,M),
 	M:'$aleph_sat_litinfo'(1,_,Atom,_,_,_),
 	get_vars(Atom,Output,HeadOVars),
@@ -4167,7 +4168,7 @@
  * Run a search on the current bottom clause, which can be obtained with the sat/1 command.
  */
 reduce(M:Cl):-
-	setting(search,Search,M), 
+	aleph_setting_m(search,Search,M), 
 	catch(reduce(Search,Cl,M),abort,reinstate_values(M)), !.
 
 reduce(Search,M):-
@@ -4183,12 +4184,12 @@
 	retractall(M:'$aleph_search'(ibs_nodes,_)),
 	retractall(M:'$aleph_search'(ibs_selected,_)),
 	store_values([openlist,caching,explore],M),
-	set(openlist,1,M),
-	set(caching,true,M),
-	set(explore,true,M),
+	aleph_set_m(openlist,1,M),
+	aleph_set_m(caching,true,M),
+	aleph_set_m(explore,true,M),
 	asserta(M:'$aleph_search'(ibs_rval,1.0)),
 	asserta(M:'$aleph_search'(ibs_nodes,0)),
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
 	get_start_label(Evalfn,Label,M),
 	(M:'$aleph_sat'(example,example(Num,Type)) ->
 		M:example(Num,Type,Example),
@@ -4198,7 +4199,7 @@
 				[],[])))),
 	stopwatch(Start),
 	repeat,
-	setting(openlist,OldOpen,M),
+	aleph_setting_m(openlist,OldOpen,M),
 	p1_message('ibs beam width'), p_message(OldOpen),
 	find_clause(bf,M),
 	M:'$aleph_search'(current,current(_,Nodes0,[PC,NC|_]/_)),
@@ -4210,7 +4211,7 @@
         M:'$aleph_search'(selected,selected(BL,RCl,PCov,NCov)),
 	NewOpen is 2*OldOpen,
 	Nodes2 is Nodes0 + Nodes1,
-	set(openlist,NewOpen,M),
+	aleph_set_m(openlist,NewOpen,M),
 	asserta(M:'$aleph_search'(ibs_rval,NewR)),
 	asserta(M:'$aleph_search'(ibs_nodes,Nodes2)),
 	((NewR >= OldR; NewOpen > 512) -> true;
@@ -4238,11 +4239,11 @@
 	retractall(M:'$aleph_search'(id_nodes,_)),
 	retractall(M:'$aleph_search'(id_selected,_)),
 	store_values([caching,clauselength],M),
-	setting(clauselength,MaxCLen,M),
-	set(clauselength,1,M),
-	set(caching,true,M),
+	aleph_setting_m(clauselength,MaxCLen,M),
+	aleph_set_m(clauselength,1,M),
+	aleph_set_m(caching,true,M),
 	asserta(M:'$aleph_search'(id_nodes,0)),
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
 	get_start_label(Evalfn,Label,M),
 	(M:'$aleph_sat'(example,example(Num,Type)) ->
 		M:example(Num,Type,Example),
@@ -4252,7 +4253,7 @@
 				[],[])))),
 	stopwatch(Start),
 	repeat,
-	setting(clauselength,OldCLen,M),
+	aleph_setting_m(clauselength,OldCLen,M),
 	p1_message('id clauselength setting'), p_message(OldCLen),
 	find_clause(df,M),
 	M:'$aleph_search'(current,current(_,Nodes0,_)),
@@ -4261,12 +4262,12 @@
 	M:'$aleph_search'(id_selected,selected([_,_,_,F1|_],_,_,_)),
 	NewCLen is OldCLen + 1,
 	Nodes2 is Nodes0 + Nodes1,
-	set(clauselength,NewCLen,M),
+	aleph_set_m(clauselength,NewCLen,M),
 	M:'$aleph_search'(id_nodes,Nodes2),
 	(F1 >= F -> true;
 		retract(M:'$aleph_search'(id_selected,selected([_,_,_,F1|_],_,_,_))),
 		asserta(M:'$aleph_search'(id_selected,selected([P,N,L,F|T],RCl,PCov,NCov))),
-		set(best,[P,N,L,F|T],M)),
+		aleph_set_m(best,[P,N,L,F|T],M)),
 	NewCLen > MaxCLen,
 	!,
 	stopwatch(Stop),
@@ -4289,11 +4290,11 @@
 	retractall(M:'$aleph_search'(ils_nodes,_)),
 	retractall(M:'$aleph_search'(ils_selected,_)), 
 	store_values([caching,language],M),
-	set(searchstrat,bf,M),
-	set(language,1,M),
-	set(caching,true,M),
+	aleph_set_m(searchstrat,bf,M),
+	aleph_set_m(language,1,M),
+	aleph_set_m(caching,true,M),
 	asserta(M:'$aleph_search'(ils_nodes,0)),
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
 	get_start_label(Evalfn,Label,M),
 	(M:'$aleph_sat'(example,example(Num,Type)) ->
 		M:example(Num,Type,Example),
@@ -4303,7 +4304,7 @@
 				[],[])))),
 	stopwatch(Start),
 	repeat,
-	setting(language,OldLang,M),
+	aleph_setting_m(language,OldLang,M),
 	p1_message('ils language setting'), p_message(OldLang),
 	find_clause(bf,M),
 	M:'$aleph_search'(current,current(_,Nodes0,_)),
@@ -4312,12 +4313,12 @@
 	M:'$aleph_search'(ils_selected,selected([_,_,_,F1|_],_,_,_)),
 	NewLang is OldLang + 1,
 	Nodes2 is Nodes0 + Nodes1,
-	set(language,NewLang,M),
+	aleph_set_m(language,NewLang,M),
 	asserta(M:'$aleph_search'(ils_nodes,Nodes2)),
 	(F1 >= F -> true;
 		retract(M:'$aleph_search'(ils_selected,selected([_,_,_,F1|_],_,_,_))),
 		asserta(M:'$aleph_search'(ils_selected,selected([P,N,L,F|T],RCl,PCov,NCov))),
-		set(best,[P,N,L,F|T],M),
+		aleph_set_m(best,[P,N,L,F|T],M),
 		fail),
 	!,
 	stopwatch(Stop),
@@ -4341,24 +4342,24 @@
 % the choice of these is specified by the parameter: rls_type
 % both annealing and GSAT employ random multiple restarts
 % and a limit on the number of moves
-%	the number of restarts is specified by set(tries,...)
-%	the number of moves is specified by set(moves,...)
+%	the number of restarts is specified by aleph_set_m(tries,...)
+%	the number of moves is specified by aleph_set_m(moves,...)
 % annealing currently restricted to using a fixed temperature
-%	the temperature is specified by set(temperature,...)
+%	the temperature is specified by aleph_set_m(temperature,...)
 %	the use of a fixed temp. makes it equivalent to the Metropolis alg.
 % GSAT if given a ``random-walk probability'' performs Selman et als walksat
-%	the walk probability is specified by set(walk,...)
+%	the walk probability is specified by aleph_set_m(walk,...)
 %	a walk probability of 0 is equivalent to doing standard GSAT
 reduce(rls,RBest,M):-
 	!,
-	setting(tries,MaxTries,M),
+	aleph_setting_m(tries,MaxTries,M),
 	MaxTries >= 1,
 	store_values([caching,refine,refineop],M),
-	set(searchstrat,heuristic,M),
-	set(caching,true,M),
-	setting(refine,Refine,M),
-	(Refine \= false  -> true; set(refineop,rls,M)),
-	setting(threads,Threads,M),
+	aleph_set_m(searchstrat,heuristic,M),
+	aleph_set_m(caching,true,M),
+	aleph_setting_m(refine,Refine,M),
+	(Refine \= false  -> true; aleph_set_m(refineop,rls,M)),
+	aleph_setting_m(threads,Threads,M),
 	rls_search(Threads, MaxTries, Time, Nodes, selected(BestLabel,
 					RBest,PCover,NCover),M),
 	add_hyp(BestLabel,RBest,PCover,NCover,M),
@@ -4366,7 +4367,7 @@
 	p1_message('rls search time'), p_message(Time),
 	p_message('rls best result'),
 	pp_dclause(RBest,M),
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
 	show_stats(Evalfn,BestLabel),
 	record_search_stats(RBest,Nodes,Time,M),
 	noset(best,M),
@@ -4379,27 +4380,27 @@
 	!,
 	store_values([tries,moves,rls_type,clauselength_distribution],M),
 	stopwatch(Start),
-	(setting(scs_sample,SampleSize,M) -> true;
-		setting(scs_percentile,K,M),
+	(aleph_setting_m(scs_sample,SampleSize,M) -> true;
+		aleph_setting_m(scs_percentile,K,M),
 		K > 0.0,
-		setting(scs_prob,P,M),
+		aleph_setting_m(scs_prob,P,M),
 		P < 1.0,
 		SampleSize is integer(log(1-P)/log(1-K/100) + 1)),
-	(setting(scs_type,informed,M,M)->
-		(setting(clauselength_distribution,_D,M,M) -> true;
-			setting(clauselength,CL,M),
+	(aleph_setting_m(scs_type,informed,M,M)->
+		(aleph_setting_m(clauselength_distribution,_D,M,M) -> true;
+			aleph_setting_m(clauselength,CL,M),
 			estimate_clauselength_distribution(CL,100,K,D,M),
 			% max_in_list(D,Prob-Length),
 			% p1_message('using clauselength distribution'),
 			% p_message([Prob-Length]),
-			% set(clauselength_distribution,[Prob-Length]));
+			% aleph_set_m(clauselength_distribution,[Prob-Length]));
 			p1_message('using clauselength distribution'),
 			p_message(D),
-			set(clauselength_distribution,D,M));
+			aleph_set_m(clauselength_distribution,D,M));
 		true),
-	set(tries,SampleSize,M),
-	set(moves,0,M),
-	set(rls_type,gsat,M),
+	aleph_set_m(tries,SampleSize,M),
+	aleph_set_m(moves,0,M),
+	aleph_set_m(rls_type,gsat,M),
 	reduce(rls,M),
 	stopwatch(Stop),
 	Time is Stop - Start,
@@ -4409,7 +4410,7 @@
 	p1_message('scs search time'), p_message(Time),
 	p_message('scs best result'),
 	pp_dclause(RBest,M),
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
 	show_stats(Evalfn,BestLabel),
 	record_search_stats(RBest,Nodes,Time,M),
 	p1_message('scs search time'), p_message(Time),
@@ -4422,7 +4423,7 @@
 reduce(ar,Cl,M):-
 	!,
 	clear_cache(M),
-	(setting(pos_fraction,PFrac,M) -> true;
+	(aleph_setting_m(pos_fraction,PFrac,M) -> true;
 		p_message('value required for pos_fraction parameter'),
 		fail),
         M:'$aleph_global'(atoms_left,atoms_left(pos,Pos)),
@@ -4430,13 +4431,13 @@
 	interval_count(Pos,P),
 	MinPos is PFrac*P,
 	store_values([minpos,evalfn,explore,caching,minacc,good],M),
-	set(searchstrat,bf,M),
-	set(minpos,MinPos,M),
-	set(evalfn,coverage,M),
-	set(explore,true,M),
-	set(caching,true,M),
-	set(minacc,0.0,M),
-	set(good,true,M),
+	aleph_set_m(searchstrat,bf,M),
+	aleph_set_m(minpos,MinPos,M),
+	aleph_set_m(evalfn,coverage,M),
+	aleph_set_m(explore,true,M),
+	aleph_set_m(caching,true,M),
+	aleph_set_m(minacc,0.0,M),
+	aleph_set_m(good,true,M),
 	asserta(M:'$aleph_global'(atoms_left,atoms_left(neg,[]))),
 	find_clause(bf,M),
 	show(good,M),
@@ -4450,15 +4451,15 @@
 reduce(ic,Cl,M):-
 	!,
 	store_values([minpos,minscore,evalfn,explore,refineop],M),
-	setting(refineop,RefineOp,M),
-	(RefineOp = false -> set(refineop,auto,M); true),
-	set(minpos,0,M),
-	set(searchstrat,bf,M),
-	set(evalfn,coverage,M),
-	set(explore,true,M),
-	setting(noise,N,M),
+	aleph_setting_m(refineop,RefineOp,M),
+	(RefineOp = false -> aleph_set_m(refineop,auto,M); true),
+	aleph_set_m(minpos,0,M),
+	aleph_set_m(searchstrat,bf,M),
+	aleph_set_m(evalfn,coverage,M),
+	aleph_set_m(explore,true,M),
+	aleph_setting_m(noise,N,M),
 	MinScore is -N,
-	set(minscore,MinScore,M),
+	aleph_set_m(minscore,MinScore,M),
 	find_clause(bf,Cl,M),
 	reinstate_values([minpos,minscore,evalfn,explore,refineop],M).
 
@@ -4480,8 +4481,8 @@
 	find_clause(Search,_Cl,M).
 
 find_clause(Search,RClause,M):-
-	set(stage,reduction,M),
-	set(searchstrat,Search,M),
+	aleph_set_m(stage,reduction,M),
+	aleph_set_m(searchstrat,Search,M),
 	p_message('reduce'),
 	reduce_prelims(L,P,N,M),
 	asserta(M:'$aleph_search'(openlist,[])),
@@ -4500,7 +4501,7 @@
 	add_hyp(L0,C0,P0,N0,M),
         (M:'$aleph_global'(max_set,max_set(Type,Num,Label1,ClauseNum))->
 		BestSoFar = Label1/ClauseNum;
-		(M:'$aleph_global'(best,set(best,Label2))->
+		(M:'$aleph_global'(best,aleph_set_m(best,Label2))->
 			BestSoFar = Label2/0;
 			BestSoFar = Label/0)),
         asserta(M:'$aleph_search'(best_label,BestSoFar)),
@@ -4544,7 +4545,7 @@
 	add_hyp(BestLabel,RClause,PCover,NCover,M),
 	p_message('best clause'),
 	pp_dclause(RClause,M),
-	(setting(evalfn,Evalfn,M) -> true; Evalfn = coverage),
+	(aleph_setting_m(evalfn,Evalfn,M) -> true; Evalfn = coverage),
 	show_stats(Evalfn,BestLabel),
 	noset(stage,M),
 	!.
@@ -4556,23 +4557,23 @@
 	retractall(M:'$aleph_search'(rls_nodes,_)),
 	retractall(M:'$aleph_search'(rls_parentstats,_)),
 	retractall(M:'$aleph_search'(rls_selected,_)),
-	setting(tries,MaxTries,M),
+	aleph_setting_m(tries,MaxTries,M),
 	MaxTries >= 1,
 	store_values([caching,store_bottom],M),
-	set(caching,false,M),
-	set(store_bottom,true,M),
+	aleph_set_m(caching,false,M),
+	aleph_set_m(store_bottom,true,M),
         M:'$aleph_global'(atoms,atoms(pos,PosSet)),
         M:'$aleph_global'(atoms,atoms(neg,NegSet)),
         interval_count(PosSet,P0),
         interval_count(NegSet,N0),
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
         complete_label(Evalfn,[0-[0,0,[],false]],[P0,N0,1],Label,M),
 	asserta(M:'$aleph_search'(rls_selected,selected(Label,[0-[0,0,[],false]],
 						PosSet,NegSet))),
 	asserta(M:'$aleph_search'(rls_nodes,0)),
 	asserta(M:'$aleph_search'(rls_restart,1)),
 	get_search_settings(S,M),
-	set(best,Label,M),
+	aleph_set_m(best,Label,M),
 	stopwatch(Start),
 	repeat,
 	retractall(M:'$aleph_search'(rls_parentstats,_)),
@@ -4595,8 +4596,8 @@
 	(F1 >= F -> true;
 		retract(M:'$aleph_search'(rls_selected,selected([_,_,_,F1|_],_,_,_))),
 		asserta(M:'$aleph_search'(rls_selected,selected([P,N,L,F|T],RCl,PCov,NCov))),
-		set(best,[P,N,L,F|T],M)),
-	setting(best,BestSoFar,M),
+		aleph_set_m(best,[P,N,L,F|T],M)),
+	aleph_setting_m(best,BestSoFar,M),
 	(R1 > MaxTries;discontinue_search(S,BestSoFar/_,Nodes2,M)),
 	!,
 	stopwatch(Stop),
@@ -4685,10 +4686,10 @@
 		L = 0, asserta(M:'$aleph_sat'(lastlit,L))),
 	(M:'$aleph_sat'(botsize,_B) -> true;
 		B = 0, asserta(M:'$aleph_sat'(botsize,B))),
-        ((M:'$aleph_global'(lazy_evaluate,lazy_evaluate(_));setting(greedy,true,M))->
+        ((M:'$aleph_global'(lazy_evaluate,lazy_evaluate(_));aleph_setting_m(greedy,true,M))->
                 M:'$aleph_global'(atoms_left,atoms_left(pos,P));
                 M:'$aleph_global'(atoms,atoms(pos,P))),
-	setting(evalfn,E,M),
+	aleph_setting_m(evalfn,E,M),
 	(E = posonly -> NType = rand; NType = neg),
 	M:'$aleph_global'(atoms_left,atoms_left(NType,N)),
 	asserta(M:'$aleph_search'(nextnode,none)).
@@ -4706,9 +4707,9 @@
 	retractall(M:'$aleph_search'(rls_nodes,_)),
 	retractall(M:'$aleph_search'(rls_selected,_)),
 	asserta(M:'$aleph_search'(rls_restart,1)),
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
 	get_start_label(Evalfn,Label,M),
-	set(best,Label,M),
+	aleph_set_m(best,Label,M),
 	get_search_settings(S,M),
 	arg(4,S,SearchStrat/_),
 	(M:'$aleph_sat'(example,example(Num,Type)) ->
@@ -4733,9 +4734,9 @@
 							_,_,_))),
  		asserta(M:'$aleph_search'(rls_selected,selected(Best,RCl,
 							PCov,NCov))),
- 		set(best,Best,M)
+ 		aleph_set_m(best,Best,M)
  	),
- 	setting(best,BestSoFar,M),
+ 	aleph_setting_m(best,BestSoFar,M),
  	retract(M:'$aleph_search'(rls_nodes,Nodes1)),
  	Nodes2 is Nodes0 + Nodes1,
  	asserta(M:'$aleph_search'(rls_nodes,Nodes2)),
@@ -4750,9 +4751,9 @@
 	retractall(M:'$aleph_search'(rls_restart,_)),
 	retractall(M:'$aleph_search'(rls_nodes,_)),
 	retractall(M:'$aleph_search'(rls_selected,_)),
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
 	get_start_label(Evalfn,Label,M),
-	set(best,Label,M),
+	aleph_set_m(best,Label,M),
 	get_search_settings(S,M),
 	arg(4,S,SearchStrat/_),
 	(M:'$aleph_sat'(example,example(Num,Type)) ->
@@ -4857,8 +4858,8 @@
                                                 [_,_,_,F1|_],_,_,_))),
                 asserta(M:'$aleph_search'(rls_selected,selected(Best,
                                                 RCl,PCov,NCov))),
-                set(best,Best,M)),
-        setting(best,BestSoFar,M),
+                aleph_set_m(best,Best,M)),
+        aleph_setting_m(best,BestSoFar,M),
         retract(M:'$aleph_search'(rls_nodes,Nodes1)),
         Nodes2 is Nodes + Nodes1,
         asserta(M:'$aleph_search'(rls_nodes,Nodes2)),
@@ -4877,7 +4878,7 @@
  * Constructs theories 1 clause at a time.
  */
 induce_clauses(M:Program):-
-	setting(interactive,true,M), !,
+	aleph_setting_m(interactive,true,M), !,
 	induce_incremental(M:Program).
 induce_clauses(M:Program):-
 	induce(M:Program).
@@ -4890,14 +4891,14 @@
  */
 induce(M:Program):-
 	clean_up(M),
-	set(greedy,true,M),
+	aleph_set_m(greedy,true,M),
 	retractall(M:'$aleph_global'(search_stats,search_stats(_,_))),
         M:'$aleph_global'(atoms_left,atoms_left(pos,PosSet)),
         PosSet \= [],
 	store(portray_search,M),
-	set(portray_search,false,M),
-        setting(samplesize,S,M),
-	setting(abduce,Abduce,M),
+	aleph_set_m(portray_search,false,M),
+        aleph_setting_m(samplesize,S,M),
+	aleph_setting_m(abduce,Abduce,M),
 	record_settings(M),
         stopwatch(StartClock),
         repeat,
@@ -4906,7 +4907,7 @@
 	retractall(M:'$aleph_global'(besthyp,besthyp(_,_,_,_,_))),
         asserta(M:'$aleph_global'(besthyp,besthyp([-inf,0,1,-inf],0,(false),[],[]))),
         get_besthyp(Abduce,M),
-        (setting(gcws,true,M) -> sphyp(M), addgcws(M); addhyp(M)),
+        (aleph_setting_m(gcws,true,M) -> sphyp(M), addgcws(M); addhyp(M)),
 	show_atoms_left(M),
 	record_atoms_left(M),
         M:'$aleph_global'(atoms_left,atoms_left(pos,[])),
@@ -5001,10 +5002,10 @@
 	M:'$aleph_global'(atoms,atoms(pos,PosSet)),
 	PosSet \= [],
 	store(portray_search,M),
-	set(portray_search,false,M),
+	aleph_set_m(portray_search,false,M),
 	record_settings(M),
 	stopwatch(StartClock),
-	set(maxcover,true,M),
+	aleph_set_m(maxcover,true,M),
 	aleph_induce_max(PosSet,M),
 	stopwatch(StopClock),
 	Time is StopClock - StartClock,
@@ -5027,7 +5028,7 @@
 induce_max1(Finish,M):-
         M:'$aleph_local'(counter,S),
         S =< Finish, !,
-	(setting(resample,Resample,M) -> true; Resample = 1),
+	(aleph_setting_m(resample,Resample,M) -> true; Resample = 1),
         repeat,
         retract(M:'$aleph_local'(counter,Start)),
 	gen_sample(Resample,pos,Start),
@@ -5051,9 +5052,9 @@
 	M:'$aleph_global'(atoms,atoms(pos,PosSet)),
 	PosSet \= [],
 	store(portray_search,M),
-	set(portray_search,false,M),
-	setting(samplesize,S,M),
-	setting(abduce,Abduce,M),
+	aleph_set_m(portray_search,false,M),
+	aleph_setting_m(samplesize,S,M),
+	aleph_setting_m(abduce,Abduce,M),
 	record_settings(M),
 	stopwatch(StartClock),
         repeat,
@@ -5104,9 +5105,9 @@
 	clean_up(M),
 	retractall(M:'$aleph_global'(search_stats,search_stats(_,_))),
 	store_values([interactive,portray_search,proof_strategy,mode],M),
-	set(portray_search,false,M),
-	set(proof_strategy,sld,M),
-	set(interactive,true,M),
+	aleph_set_m(portray_search,false,M),
+	aleph_set_m(proof_strategy,sld,M),
+	aleph_set_m(interactive,true,M),
 	record_settings(M),
         stopwatch(StartClock),
         repeat,
@@ -5163,7 +5164,7 @@
 	clean_up(M),
 	retractall(M:'$aleph_global'(search_stats,search_stats(_,_))),
         store(evalfn,M),
-        set(evalfn,accuracy,M),
+        aleph_set_m(evalfn,accuracy,M),
 	record_settings(M),
 	find_theory(rls,_,M),
         reinstate(evalfn,M),
@@ -5175,7 +5176,7 @@
 	clean_up(M),
 	retractall(M:'$aleph_global'(search_stats,search_stats(_,_))),
         store(evalfn,M),
-        set(evalfn,accuracy,M),
+        aleph_set_m(evalfn,accuracy,M),
 	record_settings(M),
 	find_theory(rls,Program,M),
         reinstate(evalfn,M),
@@ -5183,7 +5184,7 @@
 	record_total_stats(M), !.
 
 induce_theory(M:Program):-
-	setting(search,Search,M),
+	aleph_setting_m(search,Search,M),
 	aleph_induce_theory(Search,Program,M).
 
 
@@ -5204,10 +5205,10 @@
 	retractall(M:'$aleph_global'(search_stats,search_stats(_,_))),
 	store_values([portray_search,search,construct_bottom,good,goodfile],M),
 	noset(goodfile,M),
-	set(portray_search,false,M),
-	set(construct_bottom,false,M),
-	set(search,ic,M),
-	set(good,true,M),
+	aleph_set_m(portray_search,false,M),
+	aleph_set_m(construct_bottom,false,M),
+	aleph_set_m(search,ic,M),
+	aleph_set_m(good,true,M),
 	sat(uspec,0,M),
 	reduce(M:_),
 	copy_constraints(Constraints,M),
@@ -5244,14 +5245,14 @@
 induce_features(M:Features):-
 	clean_up(M),
 	store_values([good,check_good,updateback,construct_features,samplesize,greedy,explore,lazy_on_contradiction],M),
-	set(good,true,M),
-	set(check_good,true,M),
-	set(updateback,false,M),
-	set(construct_features,true,M),
-	set(lazy_on_contradiction,true,M),
-	(setting(feature_construction,exhaustive,M) -> set(explore,true,M);
+	aleph_set_m(good,true,M),
+	aleph_set_m(check_good,true,M),
+	aleph_set_m(updateback,false,M),
+	aleph_set_m(construct_features,true,M),
+	aleph_set_m(lazy_on_contradiction,true,M),
+	(aleph_setting_m(feature_construction,exhaustive,M) -> aleph_set_m(explore,true,M);
 			true),
-	setting(max_features,FMax,M),
+	aleph_setting_m(max_features,FMax,M),
         record_settings(M),
         stopwatch(StartClock),
         M:'$aleph_global'(atoms_left,atoms_left(pos,AtomsLeft)), 
@@ -5319,10 +5320,11 @@
  */
 induce_tree(M:Program):-
 	clean_up(M),
-	setting(tree_type,Type,M),
+	aleph_setting_m(tree_type,Type,M),
 	store_values([refine],M),
-	set(refine,auto,M),
-	setting(mingain,MinGain,M),
+	aleph_set_m(refine,auto,M),
+  aleph_set_m(refine,true,M),
+	aleph_setting_m(mingain,MinGain,M),
 	(MinGain =< 0.0 ->
 		err_message('inappropriate setting for mingain'),
 		fail;
@@ -5349,7 +5351,7 @@
         M:'$aleph_global'(atoms_left,atoms_left(pos,PosSet)),
         PosSet \= [],
 	store(resample,M),
-	set(resample,1,M),
+	aleph_set_m(resample,1,M),
 	rsat(100,M),
 	reinstate(resample,M).
 
@@ -5377,7 +5379,7 @@
 		abgen(Atom,AbGen,M),
 		once(retract(M:'$aleph_global'(hypothesis,
 				hypothesis(Label,_,PCover,NCover)))),
-		arc_assert(M:'$aleph_global'(hypothesis,
+		assert(M:'$aleph_global'(hypothesis,
 				hypothesis(Label,AbGen,PCover,NCover))),
 		update_besthyp(Num,M);
 		true),
@@ -5385,8 +5387,8 @@
 get_besthyp(_,M):-
         retract(M:'$aleph_global'(besthyp,besthyp(L,Num,H,PC,NC))),
 	H \= false, !,
-	((setting(samplesize,S,M),S>1)->
-		setting(nodes,Nodes,M),
+	((aleph_setting_m(samplesize,S,M),S>1)->
+		aleph_setting_m(nodes,Nodes,M),
 		show_clause(sample,L,H,Nodes,M),
 		record_clause(sample,L,H,Nodes,M);
 		true),
@@ -5429,8 +5431,8 @@
 % generate a new feature from a good clause
 gen_features(M):-
 	aleph_abolish('$aleph_feature'/2,M),
-	(setting(dependent,PredictArg,M) -> true; PredictArg is 0),
-        (setting(minscore,FMin,M) -> true; FMin = -inf),
+	(aleph_setting_m(dependent,PredictArg,M) -> true; PredictArg is 0),
+        (aleph_setting_m(minscore,FMin,M) -> true; FMin = -inf),
 	M:'$aleph_good'(_,Label,Clause),
 	Label = [_,_,_,FE|_],
 	arithmetic_expression_value(FE,F),
@@ -5444,11 +5446,11 @@
 	gen_feature((Template:-Body),Label,Class,M),
 	fail.
 gen_features(M):-
-	(setting(dependent,PredictArg,M) -> true; PredictArg is 0),
-	setting(good,true,M),
-	setting(goodfile,File,M),
+	(aleph_setting_m(dependent,PredictArg,M) -> true; PredictArg is 0),
+	aleph_setting_m(good,true,M),
+	aleph_setting_m(goodfile,File,M),
 	aleph_open(File,read,Stream),
-        (setting(minscore,FMin,M) -> true; FMin = -inf),
+        (aleph_setting_m(minscore,FMin,M) -> true; FMin = -inf),
 	repeat,
 	read(Stream,Fact),
 	(Fact = M:'$aleph_good'(_,Label,Clause) ->
@@ -5638,7 +5640,7 @@
 	
 
 get_performance(M):-
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
 	(Evalfn = sd; Evalfn = mse), !.
 get_performance(M):-
 	findall(Example,M:example(_,pos,Example),Pos),
@@ -5655,11 +5657,11 @@
 	p1_message('Training set summary'), p_message([Tp,Fp,Fn,Tn]),
 	fail.
 get_performance(M):-
-	(setting(test_pos,PFile,M) ->
+	(aleph_setting_m(test_pos,PFile,M) ->
 		test(PFile,noshow,Tp,TotPos,M),
 		Fn is TotPos - Tp;
 		TotPos = 0, Tp = 0, Fn = 0),
-	(setting(test_neg,NFile,M) ->
+	(aleph_setting_m(test_neg,NFile,M) ->
 		test(NFile,noshow,Fp,TotNeg,M),
 		Tn is TotNeg - Fp;
 		TotNeg = 0, Tn = 0, Fp = 0),
@@ -5736,7 +5738,7 @@
 	Minf is -inf,
 	asserta(M:'$aleph_search'(abgenhyp,
 				hypothesis([Minf,0,1,Minf],[false],[],[]))),
-	setting(max_abducibles,Max,M),
+	aleph_setting_m(max_abducibles,Max,M),
 	abgen(Fact,Max,AbGen,M),
 	M:'$aleph_global'(hypothesis,hypothesis(Label,_,PCover,NCover)),
 	Label = [_,_,LE,GainE|_],
@@ -5767,7 +5769,7 @@
 		store_abduced_atoms(AbAtoms,AssertRefs,M);
 		store_abduced_atoms(AbAtoms,M)),
 	store(proof_strategy,M),
-	set(proof_strategy,sld,M),
+	aleph_set_m(proof_strategy,sld,M),
 	gen_abduced_atoms(AbAtoms,AbGen,M),
 	reinstate(proof_strategy,M),
 	(Prolog = yap ->
@@ -5925,7 +5927,7 @@
 	lazy_evaluate(LitNums,LazyPreds,Path,PosCover,NegCover,Lits,M).
 
 lazy_prove_negs(Lit,Clause,_,M):-
-	M:'$aleph_global'(lazy_negs,set(lazy_negs,true)), !,
+	M:'$aleph_global'(lazy_negs,aleph_set_m(lazy_negs,true)), !,
 	M:'$aleph_global'(atoms,atoms(neg,NegCover)),
 	lazy_prove(neg,Lit,Clause,NegCover,M).
 lazy_prove_negs(Lit,Clause,NegCover,M):-
@@ -6087,7 +6089,7 @@
 % implemented as described by Muggleton, ILP-96
 
 condition_target(M):-
-	M:'$aleph_global'(condition,set(condition,true)),
+	M:'$aleph_global'(condition,aleph_set_m(condition,true)),
 	add_generator(M),
 	M:'$aleph_global'(modeh,modeh(_,Pred)),
 	functor(Pred,Name,Arity),
@@ -6101,7 +6103,7 @@
 	condition(SPred,M),
 	fail.
 condition_target(M):-
-	\+(M:'$aleph_global'(condition,set(condition,true))),
+	\+(M:'$aleph_global'(condition,aleph_set_m(condition,true))),
 	add_generator(M), !.
 condition_target(_M).
 
@@ -6214,13 +6216,13 @@
         M:'$aleph_local'(slp_samplenum,N),
         N > 0, !,
         retract(M:'$aleph_local'(slp_samplenum,N)),
-        set(gsamplesize,N,M),
+        aleph_set_m(gsamplesize,N,M),
         retract(M:'$aleph_global'(atoms,atoms(rand,_))),
         retract(M:'$aleph_global'(atoms_left,atoms_left(rand,_))),
         retract(M:'$aleph_global'(last_example,last_example(rand,_))),
-        arc_assert(M:'$aleph_global'(atoms,atoms(rand,[1-N]))),
-        arc_assert(M:'$aleph_global'(atoms_left,atoms_left(rand,[1-N]))),
-        arc_assert(M:'$aleph_global'(last_example,last_example(rand,N))).
+        assert(M:'$aleph_global'(atoms,atoms(rand,[1-N]))),
+        assert(M:'$aleph_global'(atoms_left,atoms_left(rand,[1-N]))),
+        assert(M:'$aleph_global'(last_example,last_example(rand,N))).
 update_gsample(_,_,_M).
 
 	
@@ -6290,7 +6292,7 @@
 	asserta(M:'$aleph_global'(slp_count,Clause,2)).
 
 find_posgain(PCover,P,M):-
-	M:'$aleph_global'(greedy,set(greedy,true)), !,
+	M:'$aleph_global'(greedy,aleph_set_m(greedy,true)), !,
 	interval_count(PCover,P).
 find_posgain(PCover,P,M):-
 	M:'$aleph_global'(atoms_left,atoms_left(pos,PLeft)),
@@ -6302,8 +6304,8 @@
 % S E A R C H  I / O 
 
 record_clause(good,Label,Clause,_,M):-
-	setting(good,true,M), 
-	setting(goodfile_stream,Stream,M), !,
+	aleph_setting_m(good,true,M), 
+	aleph_setting_m(goodfile_stream,Stream,M), !,
 	set_output(Stream),
 	Label = [_,_,L|_],
 	aleph_writeq('$aleph_good'(L,Label,Clause)),  write('.'), nl,
@@ -6311,7 +6313,7 @@
 	set_output(user_output).
 record_clause(Flag,Label,Clause,Nodes,M):-
 	Flag \= good,
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
 	set_output(Stream),
 	show_clause(Flag,Label,Clause,Nodes,M),
 	flush_output(Stream),
@@ -6319,7 +6321,7 @@
 record_clause(_,_,_,_,_M).
 
 record_theory(Flag,Label,Clauses,Nodes,M):-
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
         set_output(Stream),
         show_theory(Label,Clauses,Nodes,Flag,M),
 	flush_output(Stream),
@@ -6327,7 +6329,7 @@
 record_theory(_,_,_,_,_M).
 
 record_theory(Flag,Label,Clauses,Nodes,M):-
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
         set_output(Stream),
         show_theory(Label,Clauses,Nodes,Flag,M),
 	flush_output(Stream),
@@ -6335,7 +6337,7 @@
 record_theory(_,_,_,_,_).
 
 record_sat_example(N,M):-
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
 	set_output(Stream),
 	p1_message('sat'), p_message(N),
 	flush_output(Stream),
@@ -6343,7 +6345,7 @@
 record_sat_example(_,_M).
 
 record_search_stats(Clause,Nodes,Time,M):-
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
 	set_output(Stream),
 	p1_message('clauses constructed'), p_message(Nodes),
 	p1_message('search time'), p_message(Time),
@@ -6355,7 +6357,7 @@
 record_search_stats(_,_,_,_M).
 
 record_tsearch_stats(Theory,Nodes,Time,M):-
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
         set_output(Stream),
         p1_message('theories constructed'), p_message(Nodes),
         p1_message('search time'), p_message(Time),
@@ -6367,12 +6369,12 @@
 record_tsearch_stats(_,_,_,_).
 
 record_theory(Time,M):-
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
         set_output(Stream),
         show(theory,M),
 	p1_message('time taken'), p_message(Time),
         nl,
-        (M:'$aleph_global'(maxcover,set(maxcover,true))->
+        (M:'$aleph_global'(maxcover,aleph_set_m(maxcover,true))->
                 show(theory/5,M), nl,
                 show(max_set/4,M), nl,
                 show(rules/1,M);
@@ -6382,7 +6384,7 @@
 record_theory(_,_M).
 
 record_features(Time,M):-
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
         set_output(Stream),
         show(features,M),
 	p1_message('time taken'), p_message(Time),
@@ -6391,9 +6393,9 @@
 record_features(_,_).
 
 record_settings(M):-
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
         set_output(Stream),
-	(M:'$aleph_global'(os,set(os,unix)) ->
+	(M:'$aleph_global'(os,aleph_set_m(os,unix)) ->
 		execute(date),
 		execute(hostname);
 		true),
@@ -6409,7 +6411,7 @@
 		(Flag=sample-> p_message('selected from sample');
 			p_message('found clause'))),
 	pp_dclause(Clause,M),
-	(setting(evalfn,Evalfn,M)-> true; Evalfn = coverage),
+	(aleph_setting_m(evalfn,Evalfn,M)-> true; Evalfn = coverage),
 	show_stats(Evalfn,Label),
 	p1_message('clause label'), p_message(Label),
 	p1_message('clauses constructed'), p_message(Nodes),
@@ -6421,7 +6423,7 @@
                 (Flag=sample-> p_message('selected from sample');
                         p_message('found theory'))),
         pp_dclauses(Clauses,M),
-        (setting(evalfn,Evalfn,M)-> true; Evalfn = accuracy),
+        (aleph_setting_m(evalfn,Evalfn,M)-> true; Evalfn = accuracy),
         show_stats(Evalfn,Label),
         p1_message('theory label'), p_message(Label),
         p1_message('theories constructed'), p_message(Nodes),
@@ -6436,7 +6438,7 @@
 	asserta(M:'$aleph_global'(search_stats,search_stats(N1,T1))).
 
 record_total_stats(M):-
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
 	set_output(Stream),
 	show_total_stats(M),
 	flush_output(Stream),
@@ -6444,7 +6446,7 @@
 record_total_stats(_M).
 
 record_atoms_left(M):-
-	setting(recordfile_stream,Stream,M), !,
+	aleph_setting_m(recordfile_stream,Stream,M), !,
 	set_output(Stream),
 	show_atoms_left(M),
 	flush_output(Stream),
@@ -6481,8 +6483,8 @@
 % built-in refinement operator
 
 gen_auto_refine(M):-
-	(setting(autorefine,true,M) -> true;
-		set(autorefine,true,M),
+	(aleph_setting_m(autorefine,true,M) -> true;
+		aleph_set_m(autorefine,true,M),
 		process_modes(M),
 		process_determs(M)),
 	!.
@@ -6516,7 +6518,7 @@
 	find_mode(modeb,Name1/Arity1,Mode,M),
 	copy_modeterms(Mode,Pred,Arity1),
 	Determ = M:'$aleph_determination'(Name/Arity,Pred),
-	(Determ -> true; arc_assert(Determ)),
+	(Determ -> true; assert(Determ)),
 	fail.
 process_determs(_M).
 
@@ -6536,13 +6538,13 @@
 	get_o_links(O,Lit,VT,true,OGoals,M),
 	get_i_links(I,Lit,VT,OGoals,IOGoals),
 	get_c_links(C,Lit,IOGoals,Body),
-	arc_assert(M:Clause).
+	assert(M:Clause).
 
 add_ovars(Lit,O,M):-
 	aleph_member(Pos/Type,O),
 	tparg(Pos,Lit,V),
 	(M:'$aleph_has_ovar'(Lit,V,Type,Pos)->true;
-		arc_assert(M:'$aleph_has_ovar'(Lit,V,Type,Pos))),
+		assert(M:'$aleph_has_ovar'(Lit,V,Type,Pos))),
 	fail.
 add_ovars(_,_,_M).
 
@@ -6550,7 +6552,7 @@
 	aleph_member(Pos/Type,I),
 	tparg(Pos,Lit,V),
 	(M:'$aleph_has_ivar'(Lit,V,Type,Pos)->true;
-		arc_assert(M:'$aleph_has_ivar'(Lit,V,Type,Pos))),
+		assert(M:'$aleph_has_ivar'(Lit,V,Type,Pos))),
 	fail.
 add_ivars(_,_,_M).
 
@@ -6558,7 +6560,7 @@
         get_var_types(I,Lit,IVarTypes),
         get_var_types(O,Lit,OVarTypes),
         (M:'$aleph_has_vars'(Lit,IVarTypes,OVarTypes) -> true;
-        	arc_assert(M:'$aleph_has_vars'(Lit,IVarTypes,OVarTypes))).
+        	assert(M:'$aleph_has_vars'(Lit,IVarTypes,OVarTypes))).
 
 get_var_types([],_,[]).
 get_var_types([Pos/Type|PlaceTypes],Lit,[Var/Type|Rest]):-
@@ -6686,7 +6688,7 @@
 auto_refine((H:-B),(H1:-B1),M):-
         !,
         goals_to_list((H,B),LitList),
-        setting(clauselength,L,M),
+        aleph_setting_m(clauselength,L,M),
         length(LitList,ClauseLength),
         ClauseLength < L,
         aleph_get_lit(Lit,LitList,M),
@@ -6694,10 +6696,10 @@
         list_to_goals(LitList1,(H1,B1)),
 	\+(M:prune((H1:-B1))),
 	\+(tautology((H1:-B1),M)),
-	(setting(language,Lang,M) ->
+	(aleph_setting_m(language,Lang,M) ->
 		lang_ok(Lang,H1,B1);
 		true),
-	(setting(newvars,NewVars,M) ->
+	(aleph_setting_m(newvars,NewVars,M) ->
 		newvars_ok(NewVars,H1,B1);
 		true).
 auto_refine(Head,Clause,M):-
@@ -6716,16 +6718,16 @@
 auto_extend((H:-B),Lit,(H1:-B1),M):-
         !,
         goals_to_list((H,B),LitList),
-        setting(clauselength,L,M),
+        aleph_setting_m(clauselength,L,M),
         length(LitList,ClauseLength),
         ClauseLength < L,
         aleph_get_lit(Lit,LitList,M),
         aleph_append([Lit],LitList,LitList1),
         list_to_goals(LitList1,(H1,B1)),
-	(setting(language,Lang,M) ->
+	(aleph_setting_m(language,Lang,M) ->
 		lang_ok(Lang,H1,B1);
 		true),
-	(setting(newvars,NewVars,M) ->
+	(aleph_setting_m(newvars,NewVars,M) ->
 		newvars_ok(NewVars,H1,B1);
 		true),
 	\+(tautology((H1:-B1),M)),
@@ -6734,16 +6736,16 @@
 auto_extend((H),Lit,(H1:-B1),M):-
         !,
         goals_to_list(H,LitList),
-        setting(clauselength,L,M),
+        aleph_setting_m(clauselength,L,M),
         length(LitList,ClauseLength),
         ClauseLength < L,
         aleph_get_lit(Lit,LitList,M),
         aleph_append([Lit],LitList,LitList1),
         list_to_goals(LitList1,(H1,B1)),
-	(setting(language,Lang,M) ->
+	(aleph_setting_m(language,Lang,M) ->
 		lang_ok(Lang,H1,B1);
 		true),
-	(setting(newvars,NewVars,M) ->
+	(aleph_setting_m(newvars,NewVars,M) ->
 		newvars_ok(NewVars,H1,B1);
 		true),
 	\+(tautology((H1:-B1),M)),
@@ -6806,12 +6808,12 @@
 	get_type_equivalences(Types,Equiv1,M),
 	merge_equivalence_classes(Equiv1,Equiv,M),
 	store_type_equivalences(Equiv,M),
-	setting(typeoverlap,Thresh,M),
+	aleph_setting_m(typeoverlap,Thresh,M),
 	infer_modes(TypedPreds,Thresh,Types,Modes,M),
 	infer_equalities(EqModes,M),
 	Modes = [_|BodyModes],
 	infer_negations(BodyModes,NegModes),
-	(setting(updateback,Update,M) -> true; Update = true),
+	(aleph_setting_m(updateback,Update,M) -> true; Update = true),
 	p_message('found modes'),
 	add_inferred_modes(Modes,Update,M),
 	add_inferred_modes(EqModes,Update,M),
@@ -7040,7 +7042,7 @@
 %		Each clause is drawn randomly. The length of the clause is
 %		determined by:
 %			(a) user-specified distribution over clauselengths
-%			    using set(clauselength_distribution,Distribution);
+%			    using aleph_set_m(clauselength_distribution,Distribution);
 %			    Distribution is a list of the form p1-1, p2-2,...
 %			    specifying that clauselength 1 has prob p1, etc.
 %			    Note: sum pi must = 1. This is not checked; or
@@ -7058,14 +7060,14 @@
 %	bottom clause for Clause. If no bottom clause then E,T = 0 and Lits = []
 % 	Clauses is in ascending order of clause length
 sample_clauses(N,Clauses,M):-
-	setting(construct_bottom,Bottom,M),
+	aleph_setting_m(construct_bottom,Bottom,M),
 	sample_nclauses(Bottom,N,Clauses,M).
 
 sample_nclauses(false,N,Clauses,M):-
 	!,
 	gen_auto_refine(M),
-	(setting(clauselength_distribution,D,M) -> true;
-		setting(clauselength,CL,M),
+	(aleph_setting_m(clauselength_distribution,D,M) -> true;
+		aleph_setting_m(clauselength,CL,M),
 		Uniform is 1.0/CL,
 		distrib(1-CL,Uniform,D)),
 	sample_nclauses_using_modes(N,D,CList,M),
@@ -7074,8 +7076,8 @@
 sample_nclauses(_,N,Clauses,M):-
 	retractall(M:'$aleph_sat'(random,rselect(_))),
 	(M:'$aleph_sat'(example,example(_,_)) -> true; rsat(M)),
-	setting(clauselength,CL,M),
-	(setting(clauselength_distribution,Universe,M) ->
+	aleph_setting_m(clauselength,CL,M),
+	(aleph_setting_m(clauselength_distribution,Universe,M) ->
 		Sample is N;
 		estimate_numbers(CL,1,400,Universe,M),
 		(N > Universe -> Sample is Universe; Sample is N)),
@@ -7101,10 +7103,10 @@
 	sample_clause_using_modes(D,L,Clause,M),
 	\+(M:prune(Clause)),
 	split_clause(Clause,Head,Body),
-	(setting(language,Lang,M) ->
+	(aleph_setting_m(language,Lang,M) ->
         	lang_ok(Lang,Head,Body);
 		true),
-	(setting(newvars,NewVars,M) ->
+	(aleph_setting_m(newvars,NewVars,M) ->
 		newvars_ok(NewVars,Head,Body);
 		true),
 	!.
@@ -7176,7 +7178,7 @@
 	M:'$aleph_sat'(example,example(Type,Example)),
 	M:'$aleph_sat'(random,clauselength_distribution(Type,Example,L,T,K,D)), !.
 estimate_clauselength_distribution(L,T,K,D,M):-	
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
 	estimate_clauselength_scores(L,T,Evalfn,[],S,M),
 	select_good_clauses(S,K,Good),
 	estimate_frequency(L,Good,Freq),
@@ -7188,7 +7190,7 @@
 
 estimate_clauselength_scores(0,_,_,S,S,_):- !.
 estimate_clauselength_scores(L,T,Evalfn,S1,S,M):-
-	set(clauselength_distribution,[1.0-L],M),
+	aleph_set_m(clauselength_distribution,[1.0-L],M),
 	p1_message('Estimate scores of clauses with length'), p_message(L),
 	sample_clauses(T,Clauses,M),
 	estimate_scores(Clauses,Evalfn,S1,S2,M),
@@ -7240,7 +7242,7 @@
 %	bounded by bot
 estimate_numbers(Total,M):- 
 	(M:'$aleph_sat'(example,example(_,_)) -> true; rsat(M)),
-	setting(clauselength,CL,M),
+	aleph_setting_m(clauselength,CL,M),
 	estimate_numbers(CL,1,400,Total,M).
 
 % estimate_numbers(+L,+Trials,+Sample,-T,M)
@@ -7398,10 +7400,10 @@
 	% numbervars(C1,0,_),	% if accounting for variable renamings
 	\+(M:prune(C)),
 	split_clause(C,Head,Body),
-	(setting(language,Lang,M) ->
+	(aleph_setting_m(language,Lang,M) ->
 		lang_ok(Lang,Head,Body);
 		true),
-	(setting(newvars,NewVars,M) ->
+	(aleph_setting_m(newvars,NewVars,M) ->
 		newvars_ok(NewVars,Head,Body);
 		true),
 	\+(M:'$aleph_sat'(random,rselect(C1))), !,
@@ -7424,7 +7426,7 @@
 %		outside the mode language provided
 % needs a bottom clause to be constructed before it is meaningful
 % this can be done with the sat predicate for eg: sat(1)
-% if set(store_bottom,true) then use stored bottom clause instead
+% if aleph_set_m(store_bottom,true) then use stored bottom clause instead
 % if S is legal, then checks to see if previously generated legal
 % clauses exist for this bottom clause (these would have been generated
 % when trying to estimate the number of legal clause at each length)
@@ -7572,7 +7574,7 @@
 	sample_clauses(1,[Clause],M),
 	\+(old_move(clauses,Clause,M)).
 rls_refine(clauses,Clause1,Clause2,M):-
-	setting(moves,Max,M),
+	aleph_setting_m(moves,Max,M),
 	MaxMoves is Max,
 	once(retract(M:'$aleph_search'(rls_move,Mov))),
 	Mov =< MaxMoves,
@@ -7588,7 +7590,7 @@
 	once(theory_move(add_clause,[],Theory,M)),
 	\+(old_move(theories,Theory,M)).
 rls_refine(theories,Theory1,Theory2,M):-
-	setting(moves,MaxMoves,M),
+	aleph_setting_m(moves,MaxMoves,M),
 	once(retract(M:'$aleph_search'(rls_move,M))),
 	M =< MaxMoves,
 	p1_message('move'), p_message(M),
@@ -7624,7 +7626,7 @@
 	C2 = L1-[E,T,Lits1,Clause1].
 clause_move(add_lit,C1,C2,M):-
 	C1 = L-[E,T,Lits,Clause],
-	setting(clauselength,CL,M),
+	aleph_setting_m(clauselength,CL,M),
 	L < CL,
 	(Lits = [] ->
 		auto_refine(Clause,Clause1,M),
@@ -7657,7 +7659,7 @@
 	aleph_delete(_,T1,T2),
 	T2 \= [].
 theory_move(add_clause,T1,T2,M):-
-	setting(clauses,Max,M),
+	aleph_setting_m(clauses,Max,M),
 	length(T1,L),
 	L < Max,
 	sample_clauses(1,[Clause],M),
@@ -7672,7 +7674,7 @@
 	aleph_append([Clause1],T,T2).
 
 old_move(clauses,N-[_,_,L,C],M):-
-	(setting(cache_clauselength,N1,M) -> true; N1 = 3),
+	(aleph_setting_m(cache_clauselength,N1,M) -> true; N1 = 3),
 	N =< N1,
 	(L = [] ->
 		clause_to_list(C,C1),
@@ -7723,7 +7725,7 @@
 
 % pretty print a definite clause
 pp_dclause(Clause,M):-
-        (M:'$aleph_global'(portray_literals,set(portray_literals,true))->
+        (M:'$aleph_global'(portray_literals,aleph_set_m(portray_literals,true))->
                 pp_dclause(Clause,true,M);
                 pp_dclause(Clause,false,M)).
 
@@ -7746,7 +7748,7 @@
                 write(' if:');
                 write(' :-')),
         nl,
-        M:'$aleph_global'(print,set(print,N)),
+        M:'$aleph_global'(print,aleph_set_m(print,N)),
         print_lits(Body,Pretty,1,N,M).
 
 pp_dclause((Lit),Pretty,M):-
@@ -7758,7 +7760,7 @@
 % pretty print a definite clause list: head of list is + literal
 pp_dlist([],_M):- !.
 pp_dlist(Clause,M):-
-        (M:'$aleph_global'(portray_literals,set(portray_literals,true))->
+        (M:'$aleph_global'(portray_literals,aleph_set_m(portray_literals,true))->
                 pp_dlist(Clause,true,M);
                 pp_dlist(Clause,false,M)).
  
@@ -7772,7 +7774,7 @@
                         write(' if:');
                         write(' :-')),
         nl,
-        M:'$aleph_global'(print,set(print,N)),
+        M:'$aleph_global'(print,aleph_set_m(print,N)),
         print_litlist(Body1,Pretty,1,N,M)).
  
 print_litlist([],_,_,_,_M).
@@ -8558,7 +8560,7 @@
         retractall(M:'$aleph_global'(hypothesis,hypothesis(_,_,_,_))).
 
 depth_bound_call(G,M):-
-	M:'$aleph_global'(depth,set(depth,D)),
+	M:'$aleph_global'(depth,aleph_set_m(depth,D)),
 	call_with_depth_bound(G,D,M).
 
 call_with_depth_bound((H:-B),D,M):-
@@ -8634,11 +8636,11 @@
 	N1 is N + 1,
 	asserta(M:'$aleph_global'(size,size(Type,N1))),
 	(Type \= neg ->
-		setting(skolemvars,Sk1,M),
+		aleph_setting_m(skolemvars,Sk1,M),
 		skolemize(Example,Fact,Body,Sk1,SkolemVars),
 		record_skolemized(Type,N1,SkolemVars,Fact,Body,M),
 		(Sk1 = SkolemVars -> true;
-			set(skolemvars,SkolemVars,M));
+			aleph_set_m(skolemvars,SkolemVars,M));
 		split_clause(Example,Head,Body),
 		record_nskolemized(Type,N1,Head,Body,M)), !.
 
@@ -8655,7 +8657,7 @@
 	M:'$aleph_global'(targetpred,targetpred(Name/Arity)),
 	M:'$aleph_global'(determination,determination(Name/Arity,Name/Arity)),
 	record_recursive_sat_call(Name/Arity,M),
-	set(recursion,true,M),
+	aleph_set_m(recursion,true,M),
 	fail.
 check_recursive_calls(_M).
 
@@ -8663,7 +8665,7 @@
 	M:'$aleph_global'(size,size(rand,N)), 
 	N > 0, !.
 check_posonly(M):-
-	setting(evalfn,posonly,M),
+	aleph_setting_m(evalfn,posonly,M),
 	\+(M:'$aleph_global'(modeh,modeh(_,_))),
 	p1_message('error'),
 	p_message('missing modeh declaration in posonly mode'), !,
@@ -8672,8 +8674,8 @@
 	retractall(M:'$aleph_global'(slp_count,_,_)),
 	retractall(M:'$aleph_local'(slp_sample,_)),
 	retractall(M:'$aleph_local'(slp_samplenum,_)),
-	setting(evalfn,posonly,M),
-	setting(gsamplesize,S,M),
+	aleph_setting_m(evalfn,posonly,M),
+	aleph_setting_m(gsamplesize,S,M),
 	condition_target(M),
 	M:'$aleph_global'(targetpred,targetpred(Name/Arity)),
 	gsample(Name/Arity,S,M), !.
@@ -8681,19 +8683,19 @@
 
 check_prune_defs(M):-
 	clause(M:prune(_),_), !,
-	set(prune_defs,true,M).
+	aleph_set_m(prune_defs,true,M).
 check_prune_defs(_M).
 
 check_auto_refine(M):-
-	(setting(construct_bottom,reduction,M);setting(construct_bottom,false,M)),
-	\+(setting(autorefine,true,M)), !,
-	(setting(refine,user,M) -> true; set(refine,auto,M)).
+	(aleph_setting_m(construct_bottom,reduction,M);aleph_setting_m(construct_bottom,false,M)),
+	\+(aleph_setting_m(autorefine,true,M)), !,
+	(aleph_setting_m(refine,user,M) -> true; aleph_set_m(refine,auto,M)).
 check_auto_refine(_M).
 
 check_user_search(M):-
-	setting(evalfn,user,M),
+	aleph_setting_m(evalfn,user,M),
 	\+(cost_cover_required(M)),
-	set(lazy_on_cost,true,M), !.
+	aleph_set_m(lazy_on_cost,true,M), !.
 check_user_search(_M).
 
 check_abducibles(M):-
@@ -8723,11 +8725,11 @@
 set_lazy_recalls(_M).
 
 set_lazy_on_contradiction(_,_,M):-
-	M:'$aleph_global'(lazy_on_contradiction,set(lazy_on_contradiction,false)), !.
+	M:'$aleph_global'(lazy_on_contradiction,aleph_set_m(lazy_on_contradiction,false)), !.
 set_lazy_on_contradiction(P,N,M):-
 	Tot is P + N,
 	Tot >= 100, !,
-	set(lazy_on_contradiction,true,M).
+	aleph_set_m(lazy_on_contradiction,true,M).
 set_lazy_on_contradiction(_,_,_M).
 
 % The "pclause" trick: much more effective with the use of recorded/3
@@ -8754,7 +8756,7 @@
 record_recursive_sat_call(Name/Arity,M):-
         functor(Head,Name,Arity),
 	Clause = (Head:-
-			'$aleph_global'(stage,set(stage,saturation)),
+			'$aleph_global'(stage,aleph_set_m(stage,saturation)),
 			'$aleph_sat'(example,example(Num,Type)),
 			example(Num1,Type,Head),
 			Num1 \= Num, !),	% to prevent tautologies
@@ -8908,7 +8910,7 @@
 gen_featurenum(Feature1,M):-
         M:'$aleph_feature'(last_feature,Feature0), !,
         Feature1 is Feature0 + 1,
-	setting(max_features,FMax,M),
+	aleph_setting_m(max_features,FMax,M),
 	Feature1 =< FMax,
         retract(M:'$aleph_feature'(last_feature,Feature0)), 
         asserta(M:'$aleph_feature'(last_feature,Feature1)).
@@ -8927,14 +8929,14 @@
 	index_clause(Hypothesis,ClauseIndex,Clause,M),
         (M:'$aleph_global'(example_selected,example_selected(_,Seed))-> true;
                 PCover = [Seed-_|_]),
-	(setting(lazy_on_cost,true,M) ->
+	(aleph_setting_m(lazy_on_cost,true,M) ->
         	nlits(Clause,L),
 		label_create(Clause,Label,M),
         	extract_pos(Label,PCover),
         	extract_neg(Label,NCover),
         	interval_count(PCover,PC),
         	interval_count(NCover,NC),
-		setting(evalfn,Evalfn,M),
+		aleph_setting_m(evalfn,Evalfn,M),
 		complete_label(Evalfn,Clause,[PC,NC,L],NewLabel,M),
         	assertz(M:'$aleph_global'(theory,theory(ClauseIndex,
 					NewLabel/Seed,Clause,
@@ -8946,15 +8948,15 @@
 
 add_clause_to_background(ClauseIndex,M):-
         M:'$aleph_global'(theory,theory(ClauseIndex,Label/_,Clause,_,_)),
-	(setting(minpos,PMin,M) -> true; PMin = 1),
+	(aleph_setting_m(minpos,PMin,M) -> true; PMin = 1),
 	Label = [PC,_,_,F|_],
 	PC >= PMin,
-	setting(minscore,MinScore,M),
+	aleph_setting_m(minscore,MinScore,M),
 	F >= MinScore, !,
         (retract(M:'$aleph_global'(rules,rules(Rules)))->
                 asserta(M:'$aleph_global'(rules,rules([ClauseIndex|Rules])));
                 asserta(M:'$aleph_global'(rules,rules([ClauseIndex])))),
-	(setting(updateback,Update,M) -> true; Update = true),
+	(aleph_setting_m(updateback,Update,M) -> true; Update = true),
         (Update = true -> assertz(M:Clause); true),  !.
 add_clause_to_background(_,_M).
 
@@ -8963,7 +8965,7 @@
 	update_theory(ClauseIndex,M), !,
 	M:'$aleph_global'(theory,theory(ClauseIndex,_,_,PCover,NCover)),
 	rm_seeds(pos,PCover,M),
-	(setting(evalfn,posonly,M) -> rm_seeds(rand,NCover,M); true),
+	(aleph_setting_m(evalfn,posonly,M) -> rm_seeds(rand,NCover,M); true),
 	M:'$aleph_global'(atoms_left,atoms_left(pos,PLeft)),
 	interval_count(PLeft,PL),
 	p1_message('atoms left'), p_message(PL),
@@ -8971,8 +8973,8 @@
 rm_seeds(_M).
 
 rm_seeds(pos,PCover,M):-
-	setting(construct_features,true,M),
-	setting(feature_construction,exhaustive,M), !,
+	aleph_setting_m(construct_features,true,M),
+	aleph_setting_m(feature_construction,exhaustive,M), !,
         retract(M:'$aleph_global'(atoms_left,atoms_left(pos,OldIntervals))),
         (M:'$aleph_global'(example_selected,example_selected(_,Seed))-> true;
                 PCover = [Seed-_|_]),
@@ -9000,7 +9002,7 @@
 
 % revise coversets of previous atoms
 worse_coversets(_,_,_,[],M):-
-	\+(M:'$aleph_global'(maxcover,set(maxcover,true))), !.
+	\+(M:'$aleph_global'(maxcover,aleph_set_m(maxcover,true))), !.
 worse_coversets([],_,_,[],_M).
 worse_coversets([Interval|Intervals],Type,Gain,Worse,M):-
 	worse_coversets1(Interval,Type,Gain,W1,M),
@@ -9045,13 +9047,13 @@
 % gen_sample(+Type,+N,M)
 % select N random samples from the set of examples uncovered. Type is one of pos/neg
 % if N = 0 returns first example in Set
-% resamples the equal example R times where set(resample,R)
+% resamples the equal example R times where aleph_set_m(resample,R)
 gen_sample(Type,0,M):-
 	!,
 	M:'$aleph_global'(atoms_left,atoms_left(Type,[ExampleNum-_|_])),
 	retractall(M:'$aleph_global'(example_selected,example_selected(_,_))),
 	p1_message('select example'), p_message(ExampleNum),
-	(setting(resample,Resample,M) -> true; Resample = 1),
+	(aleph_setting_m(resample,Resample,M) -> true; Resample = 1),
 	gen_sample(Resample,Type,ExampleNum,M).
 gen_sample(Type,SampleSize,M):-
 	M:'$aleph_global'(atoms_left,atoms_left(Type,Intervals)),
@@ -9060,7 +9062,7 @@
 	N is min(AtomsLeft,SampleSize),
 	assertz(M:'$aleph_local'(sample_num,0)),
 	retractall(M:'$aleph_global'(example_selected,example_selected(_,_))),
-	(setting(resample,Resample,M) -> true; Resample = 1),
+	(aleph_setting_m(resample,Resample,M) -> true; Resample = 1),
 	repeat,
 	M:'$aleph_local'(sample_num,S1),
 	S is S1 + 1,
@@ -9227,7 +9229,7 @@
 label_create(Clause,Label,M):-
         M:'$aleph_global'(last_example,last_example(pos,Last1)),
 	Type1 = pos,
-	(setting(evalfn,posonly,M) ->
+	(aleph_setting_m(evalfn,posonly,M) ->
         	M:'$aleph_global'(last_example,last_example(rand,Last2)),
 		Type2 = rand;
         	M:'$aleph_global'(last_example,last_example(neg,Last2)),
@@ -9242,9 +9244,9 @@
         split_clause(Clause,Head,Body),
 	nlits((Head,Body),Length),
         assertz(M:'$aleph_search'(pclause,pclause(Head,Body))),
-	setting(depth,Depth,M),
-	setting(prooftime,Time,M),
-	setting(proof_strategy,Proof,M),
+	aleph_setting_m(depth,Depth,M),
+	aleph_setting_m(prooftime,Time,M),
+	aleph_setting_m(proof_strategy,Proof,M),
         prove(Depth/Time/Proof,Type1,(Head:-Body),Set1,Cover1,_,M),
         prove(Depth/Time/Proof,Type2,(Head:-Body),Set2,Cover2,_,M),
 	retractall(M:'$aleph_search'(pclause,_)),
@@ -9253,9 +9255,9 @@
 label_create(Clause,Type,Set,Label,M):-
         split_clause(Clause,Head,Body),
         assertz(M:'$aleph_search'(pclause,pclause(Head,Body))),
-	setting(depth,Depth,M),
-	setting(prooftime,Time,M),
-	setting(proof_strategy,Proof,M),
+	aleph_setting_m(depth,Depth,M),
+	aleph_setting_m(prooftime,Time,M),
+	aleph_setting_m(proof_strategy,Proof,M),
         prove(Depth/Time/Proof,Type,(Head:-Body,M),Set,Cover,_,M),
 	retractall(M:'$aleph_search'(pclause,_)),
 	(Type = pos -> 
@@ -9317,12 +9319,12 @@
 	extract_count(pos,Label,PC),
 	extract_count(neg,Label,NC),
 	concat(['Rule ',ClauseNum],RuleTag),
-	(setting(evalfn,posonly,M) ->
+	(aleph_setting_m(evalfn,posonly,M) ->
 		concat(['Pos cover = ',PC,' Rand cover = ',NC],CoverTag);
 		concat(['Pos cover = ',PC,' Neg cover = ',NC],CoverTag)),
 	p1_message(RuleTag), p_message(CoverTag),
 	pp_dclause(Clause,M),
-	setting(verbosity,V,M),
+	aleph_setting_m(verbosity,V,M),
 	(V >= 2 ->
 		p_message('positive examples covered'),
 		label_print_examples(pos,Label,M),
@@ -9334,7 +9336,7 @@
 
 
 evalfn(Label,Val,M):-
-	(setting(evalfn,Eval,M)->true;Eval=coverage,M),
+	(aleph_setting_m(evalfn,Eval,M)->true;Eval=coverage,M),
 	evalfn(Eval,Label,Val,M).
 
 evalfn_name(compression,'compression').
@@ -9388,7 +9390,7 @@
 evalfn(pbayes,[P,N|_],Val,M):-
         (P = -inf -> Val is 0.5;
                 Acc is P/(P+N),
-                setting(prior,PriorD,M),
+                aleph_setting_m(prior,PriorD,M),
 		normalise_distribution(PriorD,NPriorD),
 		aleph_member1(Prior-pos,NPriorD),
                 (0 is Prior-Acc ->
@@ -9401,7 +9403,7 @@
 evalfn(auto_m,[P,N|_],Val,M):-
         (P = -inf -> Val is 0.5;
                 Cover is P + N,
-                setting(prior,PriorD,M),
+                aleph_setting_m(prior,PriorD,M),
 		normalise_distribution(PriorD,NPriorD),
 		aleph_member1(Prior-pos,NPriorD),
                 K is sqrt(Cover),
@@ -9409,10 +9411,10 @@
 evalfn(mestimate,[P,N|_],Val,M):-
         (P = -inf -> Val is 0.5;
                 Cover is P + N,
-                setting(prior,PriorD,M),
+                aleph_setting_m(prior,PriorD,M),
 		normalise_distribution(PriorD,NPriorD),
 		aleph_member1(Prior-pos,NPriorD),
-                (setting(m,MM,M) -> K = MM; K is sqrt(Cover)),
+                (aleph_setting_m(m,MM,M) -> K = MM; K is sqrt(Cover)),
                 Val is (P + K*Prior) / (Cover+K)), !.
 evalfn(_,_,X,_M):- X is -inf.
 
@@ -9437,7 +9439,7 @@
 extract_length([_,_,L|_],L).
 
 get_start_label(_,[0,0,0,F],M):-
-	(setting(interactive,true,M); setting(search,ic,M)), !,
+	(aleph_setting_m(interactive,true,M); aleph_setting_m(search,ic,M)), !,
 	F is -inf.
 get_start_label(user,[1,0,2,F],_M):- !, F is -inf.
 get_start_label(entropy,[1,0,2,-0.5],_M):- !.
@@ -9485,26 +9487,26 @@
 	broadcast(background(loaded)).
 
 read_examples(Pos,Neg,M):-
-	(setting(train_pos,PosF,M) ->
-		set(use_file_extensions,false,M),
+	(aleph_setting_m(train_pos,PosF,M) ->
+		aleph_set_m(use_file_extensions,false,M),
 		read_examples_files(pos,PosF,_,M),
 		noset(use_file_extensions,M);
 		read_examples_files(pos,Pos,PosF,M),
-		set(train_pos,PosF,M)
+		aleph_set_m(train_pos,PosF,M)
 	),
-	(setting(train_neg,NegF,M) ->
-		set(use_file_extensions,false,M),
+	(aleph_setting_m(train_neg,NegF,M) ->
+		aleph_set_m(use_file_extensions,false,M),
 		read_examples_files(neg,NegF,_,M),
 		noset(use_file_extensions,M);
 		read_examples_files(neg,Neg,NegF,M),
-		set(train_neg,NegF,M)
+		aleph_set_m(train_neg,NegF,M)
 	),
 	M:'$aleph_global'(size,size(pos,P)),
 	M:'$aleph_global'(size,size(neg,N)),
 	set_lazy_recalls(M),
-	(setting(prior,_,M) -> true;
+	(aleph_setting_m(prior,_,M) -> true;
 		normalise_distribution([P-pos,N-neg],Prior),
-		set(prior,Prior,M)
+		aleph_set_m(prior,Prior,M)
 	),
 	reset_counts(M),
 	asserta(M:'$aleph_global'(last_clause,last_clause(0))),
@@ -9569,7 +9571,7 @@
 read_examples_from_file(_,_,'?',_M).
 
 construct_name(_,Name,Name,M):-
-	setting(use_file_extensions,false,M), !.
+	aleph_setting_m(use_file_extensions,false,M), !.
 construct_name(Type,Prefix,Name,_M):-
 	name(Prefix,PString),
 	file_extension(Type,SString),
@@ -9608,24 +9610,24 @@
 		asserta(M:'$aleph_global'(save,
 				save(searchstate,size(neg,NSize))));
 		true),
-	(M:'$aleph_global'(noise,set(noise,Noise)) ->
+	(M:'$aleph_global'(noise,aleph_set_m(noise,Noise)) ->
 		asserta(M:'$aleph_global'(save,
-				save(searchstate,set(noise,Noise))));
+				save(searchstate,aleph_set_m(noise,Noise))));
 		true),
-	(M:'$aleph_global'(minacc,set(minacc,MinAcc)) ->
+	(M:'$aleph_global'(minacc,aleph_set_m(minacc,MinAcc)) ->
 		asserta(M:'$aleph_global'(save,
-				save(searchstate,set(minacc,MinAcc))));
+				save(searchstate,aleph_set_m(minacc,MinAcc))));
 		true).
 
 % store current bottom clause
 store(bottom,M):-
 	!,
-	(M:'$aleph_global'(store_bottom,set(store_bottom,true)) ->
+	(M:'$aleph_global'(store_bottom,aleph_set_m(store_bottom,true)) ->
 		store_bottom(M);
 		true).
 
 store(Parameter,M):-
-	(M:'$aleph_global'(Parameter,set(Parameter,Value)) -> true; Value = unknown),
+	(M:'$aleph_global'(Parameter,aleph_set_m(Parameter,Value)) -> true; Value = unknown),
 	retractall(M:'$aleph_global'(save,save(Parameter,_))),
 	asserta(M:'$aleph_global'(save,save(Parameter,Value))).
 
@@ -9686,16 +9688,16 @@
 	(M:'$aleph_global'(save,save(searchstate,size(neg,NSize))) ->
 		asserta(M:'$aleph_global'(size,size(neg,NSize)));
 		true),
-	(M:'$aleph_global'(save,save(searchstate,set(noise,Noise))) ->
-		set(noise,Noise,M);
+	(M:'$aleph_global'(save,save(searchstate,aleph_set_m(noise,Noise))) ->
+		aleph_set_m(noise,Noise,M);
 		true),
-	(M:'$aleph_global'(save,save(searchstate,set(minacc,MinAcc))) ->
-		set(minacc,MinAcc,M);
+	(M:'$aleph_global'(save,save(searchstate,aleph_set_m(minacc,MinAcc))) ->
+		aleph_set_m(minacc,MinAcc,M);
 		true),
 	retractall(M:'$aleph_global'(save,save(searchstate,_))).
 reinstate(Parameter,M):-
 	retract(M:'$aleph_global'(save,save(Parameter,Value))), !,
-	(Value = unknown -> noset(Parameter,M); set(Parameter,Value,M)).
+	(Value = unknown -> noset(Parameter,M); aleph_set_m(Parameter,Value,M)).
 reinstate(_,_M).
 
 % reinstate list of values of parameters
@@ -9710,18 +9712,18 @@
 	M:'$aleph_global'(save,save(_,_)), 
 	repeat,
 	retract(M:'$aleph_global'(save,save(Parameter,Value))), 
-	(Value = unknown -> noset(Parameter,M) ; set(Parameter,Value,M)),
+	(Value = unknown -> noset(Parameter,M) ; aleph_set_m(Parameter,Value,M)),
 	\+(M:'$aleph_global'(save,save(_,_))),
 	!.
 reinstate_values(_M).
 
 reinstate_file_streams(M):-
-	setting(recordfile,File,M),
-	set(recordfile,File,M),
+	aleph_setting_m(recordfile,File,M),
+	aleph_set_m(recordfile,File,M),
 	fail.
 reinstate_file_streams(M):-
-	setting(goodfile,File,M),
-	set(goodfile,File,M),
+	aleph_setting_m(goodfile,File,M),
+	aleph_set_m(goodfile,File,M),
 	fail.
 reinstate_file_streams(_M).
 
@@ -9734,7 +9736,7 @@
 	((var(N),var(T)) ->
 		M:'$aleph_sat'(example,example(N,T));
 		true),
-	(setting(store_bottom,true,M) ->
+	(aleph_setting_m(store_bottom,true,M) ->
 		(M:'$aleph_sat'(stored,stored(N,T,Key)) ->
 			Flag = false;
 			concat([T,'_',N],Key),
@@ -9749,19 +9751,19 @@
  * Sets the value of a parameter.
  */
 aleph_set(M:Variable,Value):-
-  set(Variable,Value,M).
+  aleph_set_m(Variable,Value,M).
 
 
-set(Variable,Value,M):-
+aleph_set_m(Variable,Value,M):-
 	check_setting(Variable,Value),
 	(Value = inf -> V is inf;
 		(Value = +inf -> V is inf;
 			(Value = -inf -> V is -inf; V = Value)
 		)
 	),
-	retractall(M:'$aleph_global'(Variable,set(Variable,_))),
-	assertz(M:'$aleph_global'(Variable,set(Variable,V))),
-	broadcast(set(Variable,V)),
+	retractall(M:'$aleph_global'(Variable,aleph_set_m(Variable,_))),
+	assertz(M:'$aleph_global'(Variable,aleph_set_m(Variable,V))),
+	broadcast(aleph_set_m(Variable,V)),
 	special_consideration(Variable,Value,M).
 /**
  * aleph_setting(:Parameter:atomic,+Value:term) is det
@@ -9769,13 +9771,13 @@
  * Reads the value of a parameter.
  */
 aleph_setting(M:Variable,Value):-
-	setting(Variable,Value,M).
+	aleph_setting_m(Variable,Value,M).
 
-setting(Variable,Value,M):-
+aleph_setting_m(Variable,Value,M):-
 	nonvar(Variable), 
-	M:'$aleph_global'(Variable,set(Variable,Value1)), !,
+	M:'$aleph_global'(Variable,aleph_set_m(Variable,Value1)), !,
 	Value = Value1.
-setting(Variable,Value,_M):-
+aleph_setting_m(Variable,Value,_M):-
 	default_setting(Variable,Value).
 
 noset(M:Variable):-
@@ -9783,7 +9785,7 @@
 
 noset(Variable,M):-
 	nonvar(Variable),
-        retract(M:'$aleph_global'(Variable,set(Variable,Value))), !,
+        retract(M:'$aleph_global'(Variable,aleph_set_m(Variable,Value))), !,
 	rm_special_consideration(Variable,Value,M),
 	set_default(Variable,M).
 noset(_,_M).
@@ -10016,7 +10018,7 @@
 show(settings,M):-
 	nl,
 	p_message('settings'),
-	findall(P-V,M:'$aleph_global'(P,set(P,V)),L),
+	findall(P-V,M:'$aleph_global'(P,aleph_set_m(P,V)),L),
 	sort(L,L1),
 	aleph_member(Parameter-Value,L1),
         tab(8), write(Parameter=Value), nl,
@@ -10044,7 +10046,7 @@
 show(bottom,M):-
 	nl,
 	p_message('bottom clause'),
-	setting(verbosity,V,M),
+	aleph_setting_m(verbosity,V,M),
 	V > 0,
 	M:'$aleph_sat'(lastlit,Last),
 	get_clause(1,Last,[],FlatClause,M),
@@ -10107,18 +10109,18 @@
 	pp_dclause(C,M),
 	fail.
 show(hypothesis,M):-
-	setting(portray_hypothesis,Pretty,M),
+	aleph_setting_m(portray_hypothesis,Pretty,M),
 	aleph_portray(hypothesis,Pretty,M),
 	fail.
 show(search,M):-
-	setting(portray_search,Pretty,M),
+	aleph_setting_m(portray_search,Pretty,M),
 	aleph_portray(search,Pretty,M).
 show(good,M):-
-	setting(good,true,M),
+	aleph_setting_m(good,true,M),
 	nl,
         p_message('good clauses'),
-        (setting(minscore,FMin,M) -> true; FMin is -inf),
-        setting(evalfn,Evalfn,M),
+        (aleph_setting_m(minscore,FMin,M) -> true; FMin is -inf),
+        aleph_setting_m(evalfn,Evalfn,M),
 	M:'$aleph_good'(_,Label,Clause),
 	Label = [_,_,_,F|_],
 	F >= FMin,
@@ -10126,11 +10128,11 @@
 	show_stats(Evalfn,Label),
 	fail.
 show(good,M):-
-	setting(good,true,M),
-	setting(goodfile,File,M),
+	aleph_setting_m(good,true,M),
+	aleph_setting_m(goodfile,File,M),
 	aleph_open(File,read,Stream),
-        (setting(minscore,FMin,M) -> true; FMin is -inf),
-        setting(evalfn,Evalfn,M),
+        (aleph_setting_m(minscore,FMin,M) -> true; FMin is -inf),
+        aleph_setting_m(evalfn,Evalfn,M),
 	repeat,
 	read(Stream,Fact),
 	(Fact = M:'$aleph_good'(_,Label,Clause) ->
@@ -10142,7 +10144,7 @@
 		close(Stream), !
 	).
 show(features,M):-
-        setting(evalfn,Evalfn,M),
+        aleph_setting_m(evalfn,Evalfn,M),
 	(M:'$aleph_feature'(feature,_) -> true;
 		gen_features(M)),
         p_message('features from good clauses'),
@@ -10151,10 +10153,10 @@
         pp_dclause(feature(Id,(Head:-Body)),M),
 	fail.
 show(constraints,M):-
-	setting(good,true,M),
+	aleph_setting_m(good,true,M),
 	nl,
 	p_message('constraints'),
-	setting(noise,N,M),
+	aleph_setting_m(noise,N,M),
 	FMin is -N,
 	M:'$aleph_good'(_,Label,Clause),
 	split_clause(Clause,false,_),
@@ -10175,16 +10177,16 @@
 	pp_dclause((Pred:-Body),M),
 	fail.
 show(train_pos,M):-
-	setting(portray_examples,Pretty,M),
+	aleph_setting_m(portray_examples,Pretty,M),
 	aleph_portray(train_pos,Pretty,M).
 show(train_neg,M):-
-	setting(portray_examples,Pretty,M),
+	aleph_setting_m(portray_examples,Pretty,M),
 	aleph_portray(train_neg,Pretty,M).
 show(test_pos,M):-
-	setting(portray_examples,Pretty,M),
+	aleph_setting_m(portray_examples,Pretty,M),
 	aleph_portray(test_pos,Pretty,M).
 show(test_neg,M):-
-	setting(portray_examples,Pretty,M),
+	aleph_setting_m(portray_examples,Pretty,M),
 	aleph_portray(test_neg,Pretty,M).
 show(_,_M).
 
@@ -10201,7 +10203,7 @@
 	good_clauses(GC,M).
 
 good_clauses(GC,M):-
-        (setting(minscore,FMin,M) -> true; FMin is -inf),
+        (aleph_setting_m(minscore,FMin,M) -> true; FMin is -inf),
 	findall(Clause,
 		(M:'$aleph_good'(_,Label,Clause),
 		Label = [_,_,_,F|_],
@@ -10210,7 +10212,7 @@
 % examples(?Type,?List)
 % show all examples numbers in List of Type
 examples(Type,List,M):-
-	setting(portray_literals,Pretty,M),
+	aleph_setting_m(portray_literals,Pretty,M),
         M:example(Num,Type,Atom),
         aleph_member1(Num,List),
 	aleph_portray(Atom,Pretty,M), write('.'), nl,
@@ -10238,12 +10240,12 @@
 
 % write_rules/0 due to Mark Reid
 write_rules(M):-
-	setting(rulefile,File,M),
+	aleph_setting_m(rulefile,File,M),
 	write_rules(File), !.
 write_rules(_M).
 
 write_features(M):-
-	setting(featurefile,File,M),
+	aleph_setting_m(featurefile,File,M),
 	write_features(File,M), !.
 write_features(_M).
 
@@ -10374,7 +10376,7 @@
 		M:'$aleph_sat'(example,example(Num,Type)),
 		M:example(Num,Type,Example),
 		retract(M:'$aleph_global'(hypothesis,hypothesis(_,_,_,_))),
-		setting(evalfn,Evalfn,M),
+		aleph_setting_m(evalfn,Evalfn,M),
 		complete_label(Evalfn,Example,[1,0,1],Label1,M),
 		asserta(M:'$aleph_global'(hypothesis,hypothesis(Label1,(Example:-true),[Num-Num],[])))).
 
@@ -10478,7 +10480,7 @@
 % 	within a greedy search
 covers(P,M):-
 	get_hyp(Hypothesis,M),
-	(setting(greedy,true,M) -> 
+	(aleph_setting_m(greedy,true,M) -> 
 		M:'$aleph_global'(atoms,atoms_left(pos,Pos));
 		M:'$aleph_global'(atoms,atoms(pos,Pos))),
 	label_create(Hypothesis,pos,Pos,Label,M),
@@ -10492,7 +10494,7 @@
 % 	within a greedy search
 coversn(N,M):-
 	get_hyp(Hypothesis,M),
-	(setting(greedy,true,M) ->
+	(aleph_setting_m(greedy,true,M) ->
 		M:'$aleph_global'(atoms_left,atoms_left(neg,Neg));
 		M:'$aleph_global'(atoms_left,atoms(neg,Neg))),
 	label_create(Hypothesis,neg,Neg,Label,M),
@@ -10505,7 +10507,7 @@
 % 	as in covers/1, but returns list of examples covered and their count
 covers(PList,P,M):-
 	get_hyp(Hypothesis,M),
-	(setting(greedy,true,M) -> 
+	(aleph_setting_m(greedy,true,M) -> 
 		M:'$aleph_global'(atoms,atoms_left(pos,Pos));
 		M:'$aleph_global'(atoms,atoms(pos,Pos))),
 	label_create(Hypothesis,pos,Pos,Label,M),
@@ -10519,7 +10521,7 @@
 % 	as in coversn/1, but returns list of examples covered and their count
 coversn(NList,N,M):-
 	get_hyp(Hypothesis,M),
-	(setting(greedy,true,M) ->
+	(aleph_setting_m(greedy,true,M) ->
 		M:'$aleph_global'(atoms_left,atoms_left(neg,Neg));
 		M:'$aleph_global'(atoms_left,atoms(neg,Neg))),
 	label_create(Hypothesis,neg,Neg,Label,M),
@@ -10547,7 +10549,7 @@
 	clear_cache(M),
 	aleph_abolish('$aleph_global'/2,M),
 	aleph_abolish(example/3,M),
-	arc_assert(M:example(0,uspec,aleph_false)),
+	assert(M:example(0,uspec,aleph_false)),
 	set_default(_,M),
 	!.
 
@@ -10577,7 +10579,7 @@
 	retract(M:'$aleph_local'(total,T)).
 
 test_ex1(Exs,Flag,M):-
-	setting(portray_examples,Pretty,M),
+	aleph_setting_m(portray_examples,Pretty,M),
 	member(Example,Exs),
 	retract(M:'$aleph_local'(total,T0)),
 	T1 is T0 + 1,
@@ -10622,7 +10624,7 @@
 
 test_file('?',_,_M):- !.
 test_file(File,Flag,M):-
-	setting(portray_examples,Pretty,M),
+	aleph_setting_m(portray_examples,Pretty,M),
 	aleph_open(File,read,Stream), !,
 	repeat,
 	read(Stream,Example),
@@ -10726,7 +10728,7 @@
 
 set_default(A,M):-
 	default_setting(A,B),
-	set(A,B,M),
+	aleph_set_m(A,B,M),
 	fail.
 set_default(_,_M).
 
@@ -10741,7 +10743,7 @@
 	prolog_type(P),
 	(B > 1 ->
 		(P = swi -> true;
-                	err_message(set(threads,B)),
+                	err_message(aleph_set_m(threads,B)),
                 	fail
 		);
 		true
@@ -10749,7 +10751,7 @@
 check_setting(A,B):-
 	set_def(A,_,_,Dom,_,_), !,
 	(check_legal(Dom,B) -> true;
-		err_message(set(A,B))).
+		err_message(aleph_set_m(A,B))).
 check_setting(_,_).
 
 check_legal(int(L)-int(U),X):-
@@ -11139,49 +11141,49 @@
 
 % the following needed for compatibility with P-Progol
 special_consideration(search,ida,M):-
-	set(search,bf,M), set(evalfn,coverage,M), !.
+	aleph_set_m(search,bf,M), aleph_set_m(evalfn,coverage,M), !.
 special_consideration(search,compression,M):-
-	set(search,heuristic,M), set(evalfn,compression,M), !.
+	aleph_set_m(search,heuristic,M), aleph_set_m(evalfn,compression,M), !.
 special_consideration(search,posonly,M):-
-	set(search,heuristic,M), set(evalfn,posonly,M), !.
+	aleph_set_m(search,heuristic,M), aleph_set_m(evalfn,posonly,M), !.
 special_consideration(search,user,M):-
-	set(search,heuristic,M), set(evalfn,user,M), !.
+	aleph_set_m(search,heuristic,M), aleph_set_m(evalfn,user,M), !.
 
 special_consideration(refine,Refine,M):-
-	set(refineop,Refine,M), !.
+	aleph_set_m(refineop,Refine,M), !.
 special_consideration(refineop,auto,M):-
 	gen_auto_refine(M), !.
 
 special_consideration(portray_literals,true,M):-
-	set(print,1,M), !.
+	aleph_set_m(print,1,M), !.
 
 special_consideration(record,true,M):-
 	noset(recordfile_stream,M),
-	(setting(recordfile,F,M) -> 
+	(aleph_setting_m(recordfile,F,M) -> 
 		aleph_open(F,my_append,Stream),
-		set(recordfile_stream,Stream,M);
+		aleph_set_m(recordfile_stream,Stream,M);
 		true), !.
 special_consideration(record,false,M):-
 	noset(recordfile_stream,M), !.
 special_consideration(recordfile,File,M):-
 	noset(recordfile_stream,M), 
-	(setting(record,true,M) -> 
+	(aleph_setting_m(record,true,M) -> 
 		aleph_open(File,my_append,Stream),
-		set(recordfile_stream,Stream,M);
+		aleph_set_m(recordfile_stream,Stream,M);
 		true), !.
 special_consideration(good,true,M):-
 	noset(goodfile_stream,M),
-	(setting(goodfile,F,M) -> 
+	(aleph_setting_m(goodfile,F,M) -> 
 		aleph_open(F,my_append,Stream),
-		set(goodfile_stream,Stream,M);
+		aleph_set_m(goodfile_stream,Stream,M);
 		true), !.
 special_consideration(good,false,M):-
 	noset(goodfile_stream,M), !.
 special_consideration(goodfile,File,M):-
 	noset(goodfile_stream,M), 
-	(setting(good,true,M) -> 
+	(aleph_setting_m(good,true,M) -> 
 		aleph_open(File,my_append,Stream),
-		set(goodfile_stream,Stream,M);
+		aleph_set_m(goodfile_stream,Stream,M);
 		true), !.
 special_consideration(minscore,_,M):-
 	aleph_abolish('$aleph_feature'/2,M), !.
@@ -11194,11 +11196,11 @@
 rm_special_consideration(record,_,M):-
 	noset(recordfile_stream,M), !.
 rm_special_consideration(recordfile_stream,_,M):-
-	(setting(recordfile_stream,S,M) -> close(S); true), !.
+	(aleph_setting_m(recordfile_stream,S,M) -> close(S); true), !.
 rm_special_consideration(good,_,M):-
 	noset(goodfile_stream,M), !.
 rm_special_consideration(goodfile_stream,_,M):-
-	(setting(goodfile_stream,S,M) -> close(S); true), !.
+	(aleph_setting_m(goodfile_stream,S,M) -> close(S); true), !.
 rm_special_consideration(_,_,_M).
 
 
@@ -11216,7 +11218,7 @@
         retractall(M:'$aleph_global'(hypothesis,hypothesis(_,_,_,_))),
         extract_pos(Label,P),
         extract_neg(Label,N),
-	setting(evalfn,Evalfn,M),
+	aleph_setting_m(evalfn,Evalfn,M),
 	complete_label(Evalfn,Clause,[PCount,NCount,L],Label1,M),
         asserta(M:'$aleph_global'(hypothesis,hypothesis(Label1,Clause,P,N))).
 
@@ -11231,7 +11233,7 @@
         fail.
 add_theory(_,_,PCover,NCover,M):-
 	rm_seeds(pos,PCover,M),
-	(setting(evalfn,posonly,M) -> rm_seeds(rand,NCover,M); true),
+	(aleph_setting_m(evalfn,posonly,M) -> rm_seeds(rand,NCover,M); true),
 	M:'$aleph_global'(atoms_left,atoms_left(pos,PLeft)),
 	interval_count(PLeft,PL),
 	p1_message('atoms left'), p_message(PL), !.
@@ -11287,28 +11289,28 @@
 	M:aleph_portray(train_pos), !.
 aleph_portray(train_pos,_,M):-
 	!,
-	setting(train_pos,File,M),
+	aleph_setting_m(train_pos,File,M),
 	show_file(File).
 
 aleph_portray(train_neg,true,M):-
 	M:aleph_portray(train_neg), !.
 aleph_portray(train_neg,_,M):-
 	!,
-	setting(train_neg,File,M),
+	aleph_setting_m(train_neg,File,M),
 	show_file(File).
 
 aleph_portray(test_pos,true,M):-
 	M:aleph_portray(test_pos), !.
 aleph_portray(test_pos,_,M):-
 	!,
-	setting(test_pos,File,M),
+	aleph_setting_m(test_pos,File,M),
 	show_file(File).
 
 aleph_portray(test_neg,true,M):-
 	M:aleph_portray(test_neg), !.
 aleph_portray(test_neg,_,M):-
 	!,
-	setting(test_neg,File,M),
+	aleph_setting_m(test_neg,File,M),
 	show_file(File).
 
 aleph_portray(Lit,true,M):-
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_metagol.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_metagol.pl
index 7f1c8b425a..372d20974d 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_metagol.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/induction/h_muarc_metagol.pl
@@ -6,3 +6,260 @@
 */
 :- include(kaggle_arc_header).
 
+/* 
+The task is to decide whether a machine should be fixed, sent back or is ok.
+Machines dataset from The ACE Data Mining System User's Manual
+https://dtai.cs.kuleuven.be/ACE/doc/ACEuser-1.2.16.pdf
+
+Downloaded from 
+https://dtai.cs.kuleuven.be/static/ACE/doc/
+*/
+
+/** 
+?- induce_lm([train],P),test(P,[test],LL,AUCROC,ROC,AUCPR,PR).
+?- induce_lm([train],P).
+*/
+
+:-use_module(library(lemur)).
+
+:- if(current_predicate(use_rendering/1)).
+:- use_rendering(c3).
+:- use_rendering(lpad).
+:- endif.
+
+:-lemur.
+
+:- set_lm(depth_bound,false).
+:- set_lm(neg_ex,given).
+:- set_lm(mcts_iter,20).
+:- set_lm(verbosity,1).
+
+
+:- begin_in.
+class(sendback):0.5 :-
+  worn(A),
+  not_replaceable(A).
+
+class(fix):0.6 :-
+  worn(A),
+  replaceable(A).
+
+class(ok):0.5 :-
+  not_worn(_A).
+:- end_in.  
+
+:- begin_bg.
+component(C):-
+  replaceable(C).
+component(C):-
+  not_replaceable(C).
+replaceable(gear).
+replaceable(wheel).
+replaceable(chain).
+not_replaceable(engine).
+not_replaceable(control_unit).
+not_worn(C):-
+  component(C),
+  \+ worn(C).
+one_worn:-
+  worn(_).
+none_worn:-
+  \+ one_worn.
+:- end_bg.
+
+fold(train,[1,2,3,4,5,6,7,8,9,10]).
+
+fold(test,[11,12,13,14,15]).
+
+fold(all,F):-
+  fold(train,FTr),
+  fold(test,FTe),
+  append(FTr,FTe,F).
+
+:- fold(all,F),
+   sample(10,F,FTr,FTe),
+   assert(fold(rand_train,FTr)),
+   assert(fold(rand_test,FTe)).
+
+output(class_fix/0).
+output(class_sendback/0).
+output(class_ok/0).
+
+input_cw(replaceable/1).
+input_cw(not_replaceable/1).
+input_cw(worn/1).
+input_cw(not_worn/1).
+input_cw(none_worn/0).
+%input(one_worn/0).
+
+determination(class/1,replaceable/1).
+determination(class/1,not_replaceable/1).
+determination(class/1,worn/1).
+determination(class/1,not_worn/1).
+determination(class/1,none_worn/0).
+
+class_fix(M):-
+  class(M,fix).
+
+class_sendback(M):-
+  class(M,sendback).
+
+class_ok(M):-
+  class(M,ok).
+
+neg(class_fix(M)):-
+  neg(class(M,fix)).
+
+neg(class_sendback(M)):-
+  neg(class(M,sendback)).
+
+neg(class_ok(M)):-
+  neg(class(M,ok)).
+
+modeh(*,class_fix).
+modeh(*,class_ok).
+modeh(*,class_sendback).
+
+
+/*modeh(*,[class(fix),class(ok),class(sendback)],
+  [class(fix),class(ok),class(sendback)],
+  [replaceable/1,not_replaceable/1,worn/1]).
+*/
+
+modeb(*,not_replaceable(-comp)).
+modeb(*,replaceable(-comp)).
+modeb(*,worn(-comp)).
+modeb(*,not_worn(-comp)).
+modeb(*,none_worn).
+
+begin(model(1)).
+testnr(1).
+class(sendback).
+neg(class(fix)).
+neg(class(ok)).
+worn(gear).
+worn(engine).
+end(model(1)).
+
+begin(model(2)).
+testnr(2).
+class(ok).
+neg(class(sendback)).
+neg(class(fix)).
+end(model(2)).
+
+begin(model(3)).
+testnr(3).
+class(fix).
+neg(class(sendback)).
+neg(class(ok)).
+worn(gear).
+end(model(3)).
+
+begin(model(4)).
+testnr(4).
+class(sendback).
+neg(class(fix)).
+neg(class(ok)).
+worn(engine).
+end(model(4)).
+
+begin(model(5)).
+testnr(5).
+class(fix).
+neg(class(sendback)).
+neg(class(ok)).
+worn(gear).
+worn(chain).
+end(model(5)).
+
+begin(model(6)).
+testnr(6).
+class(fix).
+neg(class(sendback)).
+neg(class(ok)).
+worn(wheel).
+end(model(6)).
+
+begin(model(7)).
+testnr(7).
+class(sendback).
+neg(class(fix)).
+neg(class(ok)).
+worn(wheel).
+worn(control_unit).
+end(model(7)).
+
+begin(model(8)).
+testnr(8).
+class(ok).
+neg(class(sendback)).
+neg(class(fix)).
+end(model(8)).
+
+begin(model(9)).
+testnr(9).
+class(fix).
+neg(class(sendback)).
+neg(class(ok)).
+worn(wheel).
+worn(chain).
+end(model(9)).
+
+begin(model(10)).
+testnr(10).
+class(sendback).
+neg(class(fix)).
+neg(class(ok)).
+worn(engine).
+worn(chain).
+end(model(10)).
+
+begin(model(11)).
+testnr(11).
+class(sendback).
+neg(class(fix)).
+neg(class(ok)).
+worn(engine).
+worn(control_unit).
+end(model(11)).
+
+begin(model(12)).
+testnr(12).
+class(fix).
+neg(class(sendback)).
+neg(class(ok)).
+worn(chain).
+worn(wheel).
+worn(gear).
+end(model(12)).
+
+begin(model(13)).
+testnr(13).
+class(sendback).
+neg(class(fix)).
+neg(class(ok)).
+worn(chain).
+worn(wheel).
+worn(gear).
+worn(engine).
+end(model(13)).
+
+begin(model(14)).
+testnr(14).
+class(ok).
+neg(class(sendback)).
+neg(class(fix)).
+end(model(14)).
+
+begin(model(15)).
+testnr(15).
+class(fix).
+neg(class(sendback)).
+neg(class(ok)).
+worn(wheel).
+worn(gear).
+end(model(15)).
+
+
+
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc.pl
index 9ffdc23318..944efab108 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc.pl
@@ -5,10 +5,18 @@
   unless permission or license is granted (contact at business@logicmoo.org)
 */
 :- encoding(iso_latin_1).
+:- if((prolog_load_context(module, M),assert(tmp:loading_arc_from(M)))).
+:- module(kaggle_arc,[]).
+:- '$set_source_module'(user).
+:- endif.
+:- multifile(swi_option:option/2).
+:- dynamic(swi_option:option/2).
+:- use_module(library(option)).
+
 :- set_prolog_flag(stream_type_check,false).
 :- set_prolog_flag(never_pp_hook, true).
 %:- set_prolog_flag(xpce,false).
-%:- set_prolog_flag(pce,false).
+%:- set_prolog_flag(pce,false).f
 %:- set_prolog_flag(windows,false).
 %:- set_prolog_flag(gui_tracer,false).
 
@@ -27,8 +35,8 @@
 my_time(Goal):- time(Goal),flush_tee.
 :- export(plain_var/1).
 plain_var(V):- notrace((var(V), \+ attvar(V), \+ get_attr(V,ci,_))).
-catch_log(G):- ignore(catch(notrace(G),E,((u_dmsg(E=G))))).
-catch_nolog(G):- ignore(catch(notrace(G),E,nop(u_dmsg(E=G)))).
+catch_nolog(G):- ignore(catch(notrace(G),E,once(true;nop(u_dmsg(E=G))))).
+catch_log(G):- ignore(catch(notrace(G),E,((writeln(E=G),catch_nolog(ds))))).
 
 get_user_error(UE):- stream_property(UE,file_no(2)),!.
 get_user_error(UE):- stream_property(UE,alias(user_error)),!.
@@ -153,7 +161,7 @@
     forall(prolog:make_hook(before, Reload),true),
     notrace((ignore(update_changed_files1))),
     print_message(silent, make(reload(Reload))),
-    make:my_maplist(reload_file, Reload),
+    make:maplist(reload_file, Reload),
     print_message(silent, make(done(Reload))),
     forall(prolog:make_hook(after, Reload),true).
 
@@ -320,7 +328,7 @@
 
 
 
-arc_setval(O,List):- is_list(List),!,my_maplist(arc_setval(O),List).
+arc_setval(O,List):- is_list(List),!,maplist(arc_setval(O),List).
 arc_setval(O,Map):- get_map_pairs(Map,_Type,Pairs),!,my_maplist(arc_setval(O),Pairs).
 arc_setval(O,N=V):- !, arc_setval(O,N,V).
 arc_setval(O,N-V):- !, arc_setval(O,N,V).
@@ -717,7 +725,9 @@
 :- luser_default(no_diags,false).
 :- luser_default(no_individuator, f).
 :- luser_default(grid_size_only,true).
-:- luser_default(cmd,test_easy).
+%:- luser_default(cmd,test_easy).
+%:- luser_default(cmd,learn_ilp).
+:- luser_default(cmd,solve_via_scene_change).
 :- luser_default(cmd2,print_all_info_for_test).
 %:- luser_default(cmd2,test_show_grid_objs).
 :- luser_default(use_individuated_cache,true).
@@ -741,11 +751,11 @@
 test_secret_data:- u_dmsg(todo_test_secret_data).
 
 
-save_arcathon_runner:- qsave_program('logicmoo_arcathon_runner',[stand_alone(true),verbose(true),toplevel(run_arcathon),goal(run_arcathon),% class(runtime),
+save_arcathon_runner:- qsave_program('bin/logicmoo_arcathon_runner',[stand_alone(true),verbose(true),toplevel(run_arcathon),goal(run_arcathon),% class(runtime),
                                              class(runtime),obfuscate(true)]).
-save_arcathon_runner_dbg:- qsave_program('logicmoo_arcathon_runner_dbg',[stand_alone(true),verbose(true),toplevel(run_arcathon),goal(run_arcathon),% class(runtime),
+save_arcathon_runner_dbg:- qsave_program('bin/logicmoo_arcathon_runner_dbg',[stand_alone(true),verbose(true),toplevel(run_arcathon),goal(run_arcathon),% class(runtime),
                                              class(development),obfuscate(false)]).
-save_arcathon_runner_devel:- qsave_program('logicmoo_arcathon_runner_devel',[stand_alone(true),verbose(true),goal(demo),class(development),obfuscate(false)]),
+save_arcathon_runner_devel:- qsave_program('bin/logicmoo_arcathon_runner_devel',[stand_alone(true),verbose(true),goal(demo),class(development),obfuscate(false)]),
                              save_arcathon_runner_dbg, save_arcathon_runner.
 test_compile_arcathon:- save_arcathon_runner_devel.
 
@@ -836,16 +846,26 @@
 :- set_current_test(v('1d398264')). 
 :- luser_default(task,v('1d398264')). 
 :- luser_default(task,v('37d3e8b2')). 
+
 */
-create_group_dmiles:- must_det_ll((create_group(dmiles,[
-              'e41c6fd3','0a2355a6', 
-              '37d3e8b2','ea32f347',
+create_group_dmiles:- 
+   must_det_ll((create_group(dmiles_nsn,[
+    'e41c6fd3','ea32f347','37d3e8b2','0a2355a6', 'b230c067','a61f2674','d2abd087','08ed6ac7']))),
+  %must_det_ll((create_group(dmiles_nsn2,[
+  % 'a61f2674','0a2355a6', 'a61ba2ce', 'ea32f347', 'a79310a0', '37d3e8b2', 'e41c6fd3', 'b230c067', '0d3d703e', '08ed6ac7']))),
+   must_det_ll((create_group(dmiles,[
+     
+              'e41c6fd3','ea32f347',
+              '37d3e8b2','0a2355a6',
+              'a79310a0','103eff5b',
+              '33b52de3','d2abd087','08ed6ac7',
               '1b60fb0c','1d398264',
               '0d3d703e','626c0bcc',
               '5582e5ca','25d487eb',
               '32e9702f','f8b3ba0a',
               'b230c067','a61ba2ce',
-              '29c11459','a61f2674']))).
+              '29c11459','a61f2674']))),
+  set_current_test('0a2355a6').
 :- initialization(create_group_dmiles).
 %:- noguitracer.
 % :- set_current_test(t('0d3d703e')).  % :- set_current_test(t('5582e5ca')).
@@ -856,4 +876,6 @@
 %:- demo.
 :- current_prolog_flag(argv,C),(member('-l',C)->initialize;true).
 :- initialization(scan_uses_test_id).
-
+%:- use_module('./induction/h_muarc_alephlib').
+%:- consult('./induction/h_muarc_aleph').
+%:- tmp:loading_arc_from(M),'$set_source_module'(M).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_boards.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_boards.pl
index e8a7fea6a7..4f9f81b756 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_boards.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_boards.pl
@@ -79,7 +79,7 @@
   %ignore(retract(saved_training(TestID))),
   %ignore(retract(process_test(TestID))),
 
-  time((locally(nb_setval(use_individuated_cache,true),
+  time((with_individuated_cache(true,
      ((
       gen_gids(TestID),
       compute_all_test_hints(TestID)),
@@ -109,16 +109,22 @@
 print_hybrid_grid(G):- io_side_effects,into_grid_free(G,O),grid_to_norm(Ops,O,N),
   (O\==N->print_side_by_side([ops(Ops)],G,N); print_grid(O)).
 
+individuate_all_pairs_from_hints(TestID):- 
+  with_individuated_cache(true,
+   with_pair_mode(whole_test,
+    individuate_pairs_from_hints(TestID))).
+
 individuate_pairs_from_hints(TestID):- 
   arc_assert(individuate_test_grids(TestID)),
-  forall(kaggle_arc(TestID,ExampleNum,In,Out), 
-    individuate_pair_here(TestID,ExampleNum,In,Out)).
+  forall((kaggle_arc(TestID,ExampleNum,In,Out),ExampleNum=(trn+_)), 
+    must_det_ll((individuate_pair_here(TestID,ExampleNum,In,Out)))).
 
 individuate_pair_here(TestID,Trn+N1,In,Out):-
   Trn == trn, % no peeking  
-  ndividuator(TestID,Trn+N1,complete,In,Out),
-  nop(train_for_objects_from_1pair(_{},TestID,[Trn,'i',N1,'o',N1],In,Out,_DictMid)).
+  must_det_ll((ndividuator(TestID,Trn+N1,complete,In,Out),
+  nop(train_for_objects_from_1pair(_{},TestID,[Trn,'i',N1,'o',N1],In,Out,_DictMid)))).
 
+  
 print_all_info_for_test:- notrace(print_all_info_for_test0).
 print_all_info_for_test0:- 
   print_testinfo,
@@ -149,7 +155,7 @@
   append(G1,GS,GridL).
 
 
-show_single_reduction_1(G):- reduce_grid(G,Ops,R),print_ss([G,R]),writeg(Ops).
+show_single_reduction_1(G):- reduce_grid(G,Ops,R),print_ss(wqs(Ops),G,R),writeg(Ops).
 
 do_some_grids(Title,AB):- is_grid(AB),!,do_some_grids(Title,[AB]).
 do_some_grids(Title,AB):- into_grid_list(AB,GL), GL\==AB,!,do_some_grids(Title,GL).
@@ -193,6 +199,9 @@
   show_reduced_pairs(TestID),
   dash_chars.
 
+
+
+show_reduced_io_fav(TestID):- var_ensure_test(TestID,I,O,show_reduced_io_fav(I^O)),!.
 show_reduced_io_fav(I^O):- get_current_test(TestID),\+ \+ do_some_grids(TestID,I^O), show_reduced_io(I^O).
 
 show_reduced_outputs(TestSpec):- var_ensure_test(TestSpec,TestID),
@@ -203,10 +212,10 @@
   findall(ExampleNum=Grid,kaggle_arc(TestID,ExampleNum,Grid,_),Grids),
   do_some_grids('INPUT'(TestID),Grids).
 
-show_reduced_pairs(TestID):- 
-  with_test_pairs(TestID,ExampleNum,I,O,
+show_reduced_pairs(TestSpec):- var_ensure_test(TestSpec,TestID),
+  forall(with_test_pairs(TestID,ExampleNum,I,O,
     (print_side_by_side(green,I,orig_in(TestID,ExampleNum),_,O,orig_out(TestID,ExampleNum)),
-     forall(do_some_grids(TestID,I^O),true))).
+     forall(do_some_grids(TestID,I^O),true))),true).
 
 
 show_reduced_io_rarely(_):- \+ get_pair_mode(single_pair),!.
@@ -215,22 +224,21 @@
 
 show_reduced_io_rarely(IO):- forall(show_reduced_io(IO),true).
 
-show_reduced_io(TestSpec):- var_ensure_test(TestSpec,TestID),
-    with_test_pairs(TestID,_ExampleNum,I,O,show_reduced_io(I^O)).
 
+show_reduced_io(TestSpec):- var_ensure_test(TestSpec,I,O,show_reduced_io(I^O)),!.
 show_reduced_io(IO):- 
     once(show_grid_call(reduce_cutaway(_),IO,NextIO)),
   if_t(((NextIO)\=@=(IO)), show_reduced_io(NextIO)).
 
-  %show_reduced_io(I^O):-  maybe_easy(I,II,DidIn),same_reduction(DidIn,DidOut),maybe_easy(O,OO,DidOut), must_det_ll(print_side_by_side(green,II,DidIn,_,OO,DidOut)),!.
+%show_reduced_io(I^O):-  maybe_easy(I,II,DidIn),same_reduction(DidIn,DidOut),maybe_easy(O,OO,DidOut), must_det_ll(print_side_by_side(green,II,DidIn,_,OO,DidOut)),!.
 show_reduced_io(I0^O):- 
   once(( grid_size(I0,H,V), grid_size(O,OH,OV))),
-  ((H>OH;V>OV) , grid_call_alters(trim_to_rect,I0,I)),
- show_reduced_io(I^O).
+  ((H>OH;V>OV) , grid_call_alters(trim_to_rect,I0,I)), show_reduced_io(I^O).
 
 show_reduced_io(IO):-
   %OPS = [_,_|_],
-  once(show_grid_call(grid_to_norm(_),IO,NextIO)),
+  OPS = _,
+  once(show_grid_call(grid_to_norm(OPS),IO,NextIO)),
   if_t(((NextIO)\=@=(IO)), show_reduced_io(NextIO)).
 
 show_reduced_io(IO):- once(show_grid_call(mapgridish(remove_color_if_same(black),IO),IO,NextIO)),
@@ -502,17 +510,30 @@
   %dash_chars,
   %print_test(TestID),
   %wots(SS,my_maplist(ptv1,SComs)),
-  w_section(title(list_common_props),ptv1(cyan+magenta,SComs)),
+  w_section(title(list_common_props),ptv1s(cyan+magenta,SComs)),
   !.
 
+my_sub_compound(_,C):- \+ compound(C),!,fail.
+my_sub_compound(S,C):- my_sub_compound_0(E,C),S=E.
+my_sub_compound_0(C,C).
+my_sub_compound_0(E,L):- is_list(L),!,member(EE,L),compound(EE),my_sub_compound_0(E,EE).
+my_sub_compound_0(E,[_|T]):- !, fail, compound(T),!,my_sub_compound_0(E,T).
+my_sub_compound_0(E,C):- arg(_,C,EE),compound(EE),my_sub_compound_0(E,EE).
 
 with_li_pre(Goal):- with_tag(li,with_tag(pre,Goal)).
 %with_li_pre(Goal):- call(Goal).
 
+ptv1s(Color,T):- \+ \+ ptv1(Color,T).
+
+ptv1(Color,T):- is_grid(T), !, print_grid(ptv1(Color),T).
 ptv1(Color,T):- is_list(T), !, my_maplist(ptv1(Color),T).
 ptv1(_Color,_=T):- T==[],!.
+%ptv1(_Color,_=T):- compound(T),compound_name_arguments(T,_,[A]),A==[],!.
 %ptv1(_Color,_=T):- compound(T), T = each_object(_),!.
-ptv1(_Color,_=T):- compound(T),compound_name_arguments(T,_,[A]),A==[],!.
+
+ptv1(Color,G):- my_sub_compound([H|T],G),
+  \+ \+ ((append(T,[],_)->is_grid([H|T]),print_grid([H|T]))),!,
+  subst(G,[H|T],printed_grid,GG),!,ptv1(Color,GG).
 
 ptv1(C1C2,T):- needs_bold(T),!,bold_print(ptv11(C1C2,T)),!.
 ptv1(C1C2,T):- ptv11(C1C2,T),!.
@@ -521,7 +542,10 @@
 
 ptv11(C1+C2,T):- !, format('~N'),wots(S,writeq(T)),
   (has_spec_value(T) -> color_print(C1,call(bold_print(write(S)))) ; color_print(C2,call(write(S)))).
-ptv11(Color,T):- format('~N'),(has_spec_value(T) -> color_print(cyan,call(bold_print(print_tree(T)))) ; color_print(Color,call(print_tree(T)))).
+ptv11(Color,T):- format('~N'),
+ (has_spec_value(T) -> 
+   color_print(cyan,call(bold_print(print_tree(T)))) 
+  ;color_print(Color,call(print_tree(T)))).
 
 has_spec_value(T):- ground(T),!.
 has_spec_value(V):- var(V),!,fail.
@@ -632,6 +656,7 @@
 %min_unifier_e(B,A,C):- compound(B),maybe_extract_values(B,BB), \+ maybe_extract_values(A,_), c_proportional(A,BB,AABB),must_min_unifier(AABB,B,C),!.
 min_unifier_e(_,_,_).
 
+some_min_unifier(X,X):- \+ compound(X),!.
 some_min_unifier([A|List],Term):- some_min_unifier_3(A,List,Term).
 
 some_min_unifier_3(A,List,A):- my_maplist('=@='(A),List),!.
@@ -653,7 +678,8 @@
 
 min_unifier(A,B,D):- number(A),number(B),!,c_proportional(A,B,D).
 min_unifier(A,B,AA):- is_grid(A),is_grid(B),!,min_grid_unifier(A,B,AA),!.
-min_unifier(A,B,AA):- is_list(A),is_list(B),!,min_list_unifier(A,B,AA),ignore((length(A,AL),length(B,AL),length(AA,AL))).
+min_unifier(A,B,AA):- is_list(A),is_list(B),!,min_list_unifier(A,B,AA),
+  ignore((length(A,AL),length(B,AL),length(AA,AL))).
 min_unifier(A,B,AA):- is_cons(A),is_cons(B),!,min_list_unifier(A,B,AA),!.
 %min_unifier(A,B,C):- is_list(A),sort_safe(A,AA),A\==AA,!,min_unifier(B,AA,C).
 min_unifier(A,B,R):- compound(A),compound(B),
@@ -672,8 +698,8 @@
 
 
 min_list_unifier(A,B,A):- A=@=B,!.
-min_list_unifier(A,B,_):- \+ compound(A);\+ compound(B),!.
-min_list_unifier(A,B,AA):- is_list(A),is_list(B), sort_safe(A,AA),sort_safe(B,BB),BB=@=AA,!.
+min_list_unifier(A,B,_):- ( \+ compound(A); \+ compound(B) ),!.
+min_list_unifier(A,B,A):- is_list(A),is_list(B), sort_safe(A,AA),sort_safe(B,BB),BB=@=AA,!.
 min_list_unifier([A|AA],[B|BB],[A|CC]):- A=@=B,min_list_unifier(AA,BB,CC).
 min_list_unifier([A|AA],[B|BB],[C|CC]):- A\=@=B,min_list_unifier(AA,BB,CC),min_unifier(A,B,C),!.
 min_list_unifier(A,B,[EC|C]):- is_list(A),is_list(B),  select_two(A,B,E1,E2,AA,BB), min_unifier(E1,E2,EC) ,!,min_list_unifier(AA,BB,C).
@@ -695,12 +721,10 @@
  ignore(kaggle_arc(TestID,ExampleNum,In,Out)),
  w_section(title(grid_hint_swap(IO,TestID>ExampleNum)),
  (maybe_compute_test_io_hints(IO,TestID,ExampleNum,In,Out),
-   ignore(print_single_pair(TestID,ExampleNum,In,Out)),
-   forall((arc_test_property(TestID,ExampleNum,P,V),
-      is_grid(V),sub_var(minus_overlapping_image,P)),print_grid(P,V)),
+   ignore(print_single_pair(TestID,ExampleNum,In,Out)),  
    with_li_pre(((format('~N%% ~w: ',[IO])),!,
      forall((arc_test_property(TestID,ExampleNum,P,V)),
-       ignore((  ( \+ ((is_grid(V), grid_size(V,XX,YY), (XX>3;YY>3)))), ptv1(magenta+cyan,P=V)))))))).
+       ignore((ptv1s(magenta+cyan,P=V)))))))).
 
 
 grid_hint_swap_io(IO,In,Out,Hints):-  grid_hint_recolor(IO,In,Out,Hints).
@@ -777,12 +801,13 @@
 %ensure_how(How):- var(How),!,member(How,[whole,i_pbox]).
 %ensure_how(How):- var(How),!,member(How,[whole,complete,i_pbox]).
 %ensure_how(How):- var(How),!,member(How,[whole,i_pbox,fg_shapes(nsew)]).
-ensure_how(How):- var(How),!,member(How,[nsew,fg_shapes(nsew),colormass,fg_shapes(colormass),force_by_color,alone_dots]).
-ensure_how(_How).
+ensure_how(Grid,How):- var(How),!,indiv_how(Grid,How).
+ensure_how(_Grid,_How).
+
 
 %grid_to_objs(Grid,Objs):- findall(Obj,grid_to_objs(Grid,_,Obj),List),list_to_set(List,Objs).
-grid_to_objs(Grid,Objs):- ensure_grid(Grid),individuate(complete,Grid,Objs).
-grid_to_objs(Grid,How,Objs):- ensure_grid(Grid),ensure_how(How),individuate(How,Grid,Objs).
+grid_to_objs(Grid,Objs):- grid_to_objs(Grid,complete,Objs).
+grid_to_objs(Grid,How,Objs):- ensure_grid(Grid),ensure_how(Grid,How),in_cmt(individuate(How,Grid,Objs)).
 %grid_to_objs(Grid,Objs):- findall(Obj,grid_to_objs(Grid,complete,Obj),List),list_to_set(List,Objs).
 %grid_to_obj(Grid,Obj):- grid_to_objs(Grid,Objs),member(Obj,Objs).
 
@@ -791,11 +816,12 @@
 % one way to match or find an outlier is compressing things in sets minus one object.. the set that is second to the largest tells you what single object os the most differnt 
 objs_shapes(Objs,In):- ensure_test(TestID),test_shapes(TestID,Objs,In).
 
-test_shapes(_TestID, Objs,In):- member(Obj,Objs),object_grid(Obj,In), once(learn_hybrid_shape_board(obj_shapes,In)),fail.
+test_shapes(_TestID, Objs,In):- member(Obj,Objs),object_grid(Obj,In), learn_hybrid_shape_board(obj_shapes,In),fail.
 test_shapes(TestID,_Objs,In):- ensure_test(TestID), get_hybrid_set(Set),!,member(In,Set).
 
 
-learn_hybrid_shape_board(Why,Shape):- nop(dmsg(learn_hybrid_shape(Why,Shape))).
+%learn_hybrid_shape_board(Why,Shape):- !, warn_skip((learn_hybrid_shape(Why,Shape))).
+learn_hybrid_shape_board(Why,Shape):- learn_hybrid_shape(Why,Shape).
 
 grid_to_obj_other(VM,Grid,O):- other_grid(Grid,Grid2), grid_to_obj_other_grid(VM,Grid,Grid2,O).
 grid_to_obj_other_grid(VM,Grid,Grid2,O):- grid_to_objs(Grid2,Objs),grid_to_obj_other_objs(VM,Grid,Objs,O).
@@ -1084,34 +1110,57 @@
 save_the_alt_grids(TestID):- 
  forall(ensure_test(TestID),
   forall(kaggle_arc(TestID,ExampleNum,I,O),
-    once(save_the_alt_grids(TestID,ExampleNum,[],I,O)))).
+    once(save_the_alt_grids(TestID,ExampleNum,[],I,O)))),!.
 
 save_the_alt_grids(TestID,ExampleNum):-
   arc_test_property(TestID,ExampleNum,has_blank_alt_grid,_),!.
 save_the_alt_grids(TestID,ExampleNum):- 
   forall(kaggle_arc(TestID,ExampleNum,I,O),
-    once(save_the_alt_grids(TestID,ExampleNum,[],I,O))).
+    once(save_the_alt_grids(TestID,ExampleNum,[],I,O))),!.
 
 save_the_alt_grids(TestID,ExampleNum,_,_,_):- arc_test_property(TestID,ExampleNum,iro(_),_),!.
-save_the_alt_grids(TestID,ExampleNum,XForms,In,Out):- same_sizes(In,Out),!,
-  save_the_alt_grids_now(TestID,ExampleNum,XForms,In,Out).
-save_the_alt_grids(TestID,ExampleNum,XForms,In,Out):-
-  some_norm(In,OpI,NIn), some_norm(Out,OpO,NOut), 
-  once(NIn\=@=In;NOut\=@=Out),
-  same_sizes(NIn,NOut),!,
-  save_the_alt_grids_now(TestID,ExampleNum,[ops(OpI,OpO)|XForms],NIn,NOut).
+save_the_alt_grids(TestID,ExampleNum,XForms,In,Out):-  %same_sizes(In,Out),
+  !,
+  save_the_alt_grids_now(TestID,ExampleNum,XForms,In,Out),!.
+save_the_alt_grids(TestID,ExampleNum,XForms,In,Out):- fail,
+  once((some_norm(In,OpI,NIn), print_ss(some_norm(OpI),In,NIn),
+  some_norm(Out,OpO,NOut), print_ss(some_norm(OpO),Out,NOut), 
+  same_sizes(NIn,NOut),
+  once(NIn\=@=In;NOut\=@=Out))),
+  save_the_alt_grids_now(TestID,ExampleNum,[ops(OpI,OpO)|XForms],NIn,NOut),!.
 save_the_alt_grids(TestID,ExampleNum,_XForms,In,Out):- 
   assert_test_property(TestID,ExampleNum,iro(none),In),
   assert_test_property(TestID,ExampleNum,ori(none),Out),!.
   
 save_the_alt_grids_now(TestID,ExampleNum,XForms,In,Out):-
   my_maplist(save_grid_calc(TestID,ExampleNum,XForms,In,Out),
-     [fg_intersectiond,fg_intersectiond_mono,cell_minus_cell,mono_cell_minus_cell]),
-  ignore(( \+ has_blank_alt_grid(TestID,ExampleNum))),!,
+     [common_after_reduce,fg_intersectiond,fg_intersectiond_mono,cell_minus_cell,mono_cell_minus_cell]),
+  %ignore(( \+ has_blank_alt_grid(TestID,ExampleNum))),!,
   my_maplist(save_grid_calc(TestID,ExampleNum,XForms,In,Out),[minus_overlapping_image,overlapping_image]).
 
 colors_of(O,Cs):- unique_fg_colors(O,Cs),!.
 
+common_after_reduce(In,Out,New):-  
+  reduce_grid_fixed(In,OpsIn,In2),check_ops(OpsIn,In2,In),print_ss(OpsIn,In,In2),
+  reduce_grid_fixed(Out,OpsOut,Out2),check_ops(OpsOut,Out2,Out),print_ss(OpsOut,Out,Out2),
+  print_ss(common_after_reduce,In2,Out2),
+  mapgrid(fg_intersectiond_mono,In2,Out2,New),!.
+
+reduce_grid_fixed(In,OpsIn,In3):-  
+  must_det_ll(( 
+   grav_rot(In,RotG,In1),
+   undo_p2(RotG,RotR),
+   check_ops(RotR,In1,In),
+   reduce_grid(In1,Ops,In2),
+   check_ops(Ops,In2,In1),
+   grav_rot(In2,RotG2,In3),
+   undo_p2(RotG2,RotR2),
+   append([RotR2|Ops],[RotR],OpsIn),   
+   check_ops(OpsIn,In3,In),
+   !)),!.
+
+check_ops(Ops,In2,In3):- grid_call(Ops,In2,InC), !, InC =@= In3.
+
 /*save_the_alt_grids_now2(TestID,ExampleNum,XForms,In,Out).
 save_the_alt_grids_now2(TestID,ExampleNum,XForms,In,Out):- 
  must_det_ll((
@@ -1141,23 +1190,24 @@
   ExtraColors = color_set(CsInO).add(CsOutO).rem(CsIn).rem(CsOut),
   OLIn=In.inv(unbind_color(ExtraColors)).
 
-%32e9702f
+%32e9702f %33b52de3
 
-save_grid_calc(TestID,ExampleNum,XForms,In,Out,Op):-  
-  call(Op,In,Out,RIO), call(Op,Out,In,ROI),!,
-  assert_test_property(TestID,ExampleNum,iro([Op|XForms]),RIO),
-  assert_test_property(TestID,ExampleNum,ori([Op|XForms]),ROI),
-  print_ss(no(Op,TestID,ExampleNum,XForms),RIO,ROI).
+save_grid_calc(TestID,ExampleNum,XForms,In,Out,Op):-   
+ ignore((on_x_rtrace(call(Op,In,Out,RIO)), assert_test_property(TestID,ExampleNum,iro([Op|XForms]),RIO))),
+ ignore((on_x_rtrace(call(Op,Out,In,ROI)), assert_test_property(TestID,ExampleNum,ori([Op|XForms]),ROI))),
+ ignore((on_x_rtrace(print_ss(no(Op,TestID,ExampleNum,XForms),RIO,ROI)))).
 
 
 
 same_sizes([I|In],[O|Out]):- length(I,Cols),length(O,Cols),length(In,Rows0),length(Out,Rows0).
 
+
+some_norm(Out,[trim_to_rect|Op],NOut):- notrace((trim_to_rect(Out,Mid),Out\=@=Mid)),!,some_norm(Out,Op,NOut).
+some_norm(Out,[grav_rot(Rot)],NOut):- once(grav_rot(Out,Rot,NOut)),Out\=@=NOut,!.
 some_norm(Out,[],Out).
-some_norm(Out,[trim_to_rect|Op],NOut):- notrace((trim_to_rect(Out,Mid),Out\=@=Mid)),some_norm(Out,Op,NOut).
-some_norm(Out,[grav_rot(Rot)],NOut):- grav_rot(Out,Rot,NOut),!.
 
-has_blank_alt_grid(TestID,ExampleNum):- blank_alt_grid_count(TestID,ExampleNum,N),N>0.
+
+has_blank_alt_grid(TestID,ExampleNum):- blank_alt_grid_count(TestID,ExampleNum,N),!,N>0.
 
 blank_alt_grid_count(TestID,ExampleNum,N):-
   arc_test_property(TestID,ExampleNum,has_blank_alt_grid,N),!.
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_db.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_db.pl
index b680fc3aa9..69a8f7605c 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_db.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_db.pl
@@ -428,7 +428,7 @@
 replace_local_point_color(Point,NewC,OldC,G,GO):- is_object(G), !,
     localpoints(G,Points),     
     replace_in_points(Point,NewC,OldC,Points,RPoints),
-    %loc2D(G,OH,OV),offset_point(OH,OV,Point,LPoint),shape_rep(grav,G,NCPoints), my_maplist(replace_in_points(Point,NewC,OldC),NCPoints,RNCPoints),,shape_rep(grav,RNCPoints)
+    %loc2D(G,OH,OV),offset_point(OH,OV,Point,LPoint),shape_rep(grav,G,NCPoints), my_maplist(replace_in_points(Point,NewC,OldC),NCPoints,RNCPoints), ,shape_rep(grav,RNCPoints)
     setq(G,localpoints(RPoints),GO).
 replace_local_point_color(Point,NewC,OldC,G,GO):- trace_or_throw(unknown_target_type(replace_local_point_color(Point,NewC,OldC,G,GO))).
 
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_domaintypes.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_domaintypes.pl
index cf196d5189..e01afe68c7 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_domaintypes.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_domaintypes.pl
@@ -170,8 +170,8 @@
 decl_fill_color(X):-  put_attr(X,ci,hollow(X)),
     freeze(X,(mv_peek1(X,V)->(var(V)->true;is_color(V));true)),decl_multivar(X).
 
-decl_multivar(_).
-%decl_multivar(X):- multivar:multivar(X).
+decl_multivar(_):- !, fail, itrace.
+decl_multivar(X):- multivar:multivar(X).
 
 decl_not_color(NC,GC):- is_bg_color(NC),!,decl_many_fg_colors(GC).
 decl_not_color(NC,GC):- decl_fill_color(GC),!,dif(GC,NC).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_explaination.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_explaination.pl
index ec19b0bc7e..474d1cb8a8 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_explaination.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_explaination.pl
@@ -468,6 +468,7 @@
 c_ot(_P2,O,A):- var(O),!,A=O.
 %c_ot(P2,O,A):- term_contains_ansi(O),!,A=O.
 c_ot(_P2,O,A):- term_is_ansi(O),!,A=O.
+c_ot(_,giz(O),giz(O)):- !.
 c_ot(P2,O,A):- lock_doing(c_ot,O,call(P2,O,A)),!.
 c_ot(_P2,O,A):- number(O),!,wots(A,bold_print(write(O))).
 c_ot(P2,-O,-A):- !, c_ot(P2,O,A).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_grid_size.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_grid_size.pl
index 06bfbcc1d8..70e1623b64 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_grid_size.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_grid_size.pl
@@ -175,19 +175,38 @@
   ((I=@=CI,O=@=CO) -> call(Goal) ;
   setup_call_cleanup(set_current_pair(I,O),Goal,
    set_current_pair(CI,CO))).
+%current_pair(I,O):- current_pair0(II,OO),II=I,OO=O.
+current_pair(I,O):-  (var(I)->luser_getval(input_grid,I);true),
+  must_det_ll((is_gridoid(I),other_grid(I,O))).
+
+
+ensure_example_num(I,O):-
+ ignore((
+  current_test_example(TestID,ExampleNum0),
+  ((ExampleNum=ExampleNum0;ExampleNum=_), kaggle_arc(TestID,ExampleNum,II,OO), 
+    once((II=@=I,OO=@=O);(II=@=I,OO=@=O))),
+  set_example_num(ExampleNum))),!.
+
+set_current_pair(I,O):-
+  must_det_ll((ensure_example_num(I,O),
+  %luser_setval(input_grid,I),
+  %luser_setval(output_grid,O),
+  ensure_other_grid(I,O),
+  %set_target_grid(O),
+  other_grid(I,OOO),nop((OOO=@=O)))),!.
+
+%current_pair_io(I,O):- fail, current_test_example(TestID,ExampleNum), ground(ExampleNum),!, kaggle_arc(TestID,ExampleNum,I,O).
+current_pair_io(I,O):-  
+   current_test_example(TestID,ExampleNum), 
+   kaggle_arc(TestID,ExampleNum,I,O), set_current_pair(I,O), (ground(ExampleNum)->!;true).
 
-  
-
-set_current_pair(I,O):- 
-  luser_setval(input_grid,I),
-  luser_setval(output_grid,O),ensure_other_grid(I,O),set_target_grid(O),
-  must_det_ll((other_grid(I,OO),OO==O)).
-
-current_pair(I,O):- current_pair0(II,OO),II=I,OO=O.
-current_pair0(I,O):- luser_getval(input_grid,I), is_gridoid(I),!, must_det_ll((other_grid(I,O))).
-current_pair0(I,O):- current_test_example(TestID,ExampleNum),
+/*
+current_pair_io(I,O):- current_test_example(TestID,ExampleNum),
+   (luser_getval(input_grid,Was);Was=[]),
    setup_call_cleanup(true,
-     ((kaggle_arc(TestID,ExampleNum,I,O);fail),set_current_pair(I,O)), luser_setval(input_grid,[])).
+     ((kaggle_arc(TestID,ExampleNum,I,O);fail),set_current_pair(I,O)), 
+        luser_setval(input_grid,Was)).
+*/
 
 % test_hint(ratio_between(mass,mass)). %ac0a08a4
 increase_size_by_grid_mass(In,Out):- mass(In,Mass),increase_size(Mass,In,Out).
@@ -196,14 +215,14 @@
 
 
 
-ratio_between(Unique_color_count,and(Mass,Area)):- !, current_pair(I,O),
+ratio_between(Unique_color_count,and(Mass,Area)):- !, current_pair_io(I,O),
   call(Unique_color_count,I,UCC), ratio_about(Mass,UCC,I,O), ratio_about(Area,UCC,I,O).
-ratio_between(Mass1,Mass2):- current_pair(I,O), call(Mass1,I,UCC), ratio_about(Mass2,UCC,I,O).
+ratio_between(Mass1,Mass2):- current_pair_io(I,O), call(Mass1,I,UCC), ratio_about(Mass2,UCC,I,O).
 
 ratio_about(square(Area), UCC,I,O):- !, call(Area,I,IA), call(Area,O,OA), n_times(UCC^2,IA,OA).
 ratio_about(Mass, UCC,I,O):-  call(Mass,I,IM), call(Mass,O,OM), n_times(UCC,IM,OM).
 
-test_hint(How,P2):- must_det_ll((current_pair(I,O),call(P2,I,II),call(P2,O,OO))),call(How,II,OO).
+test_hint(How,P2):- must_det_ll((current_pair_io(I,O),call(P2,I,II),call(P2,O,OO))),call(How,II,OO).
 test_hint(G):- current_predicate(_,G),!,call(G).
 
 mass_and_area(P2Mass,P2Area):- test_hint(P2Mass,mass),test_hint(P2Area,area).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_heuristics.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_heuristics.pl
index bb69626da1..d3847fdc85 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_heuristics.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_heuristics.pl
@@ -12,6 +12,177 @@
 :- discontiguous learn_shapelib/7.
 :- discontiguous individuals_from_pair/9.
 
+
+i_pair(WasROptions,GridIn,GridOut):- WasROptions==complete,
+ catch((must_det_ll((
+ check_for_refreshness,
+ ((var(GridIn);var(GridOut))-> current_pair_io(GridIn,GridOut) ; true),
+ maybe_name_the_pair(GridIn,GridOut,PairName),
+ notrace(((((guess_how(HOW,GridIn,GridOut,Stuff1,Stuff2), 
+             guess_how_else(HOW_ELSE,Stuff1,Stuff2,InC,OutC)))))),
+ INDIV = [HOW|HOW_ELSE],
+ show_individuated_pair(PairName,INDIV,GridIn,GridOut,InC,OutC)))),_,fail),!.
+
+i_pair(ROptions,GridIn,GridOut):-
+ must_det_ll((  
+  check_for_refreshness,
+  maybe_name_the_pair(GridIn,GridOut,PairName),
+  individuate_pair(ROptions,GridIn,GridOut,InC,OutC),
+  show_individuated_pair(PairName,ROptions,GridIn,GridOut,InC,OutC))).
+
+
+
+maybe_optimize_objects(InC00,OutC00,InCR,OutCR):-
+ wots(S,
+ w_section(optimize_objects, ((
+ once((must_det_ll((
+  remove_background_only_object(InC00,InC000),
+  remove_background_only_object(OutC00,OutC000),
+ extend_grp_proplist(InC000,InC0),
+ extend_grp_proplist(OutC000,OutC0),
+  maybe_fix_group(InC0,InCRFGBG),
+  maybe_fix_group(OutC0,OutCRFGBG),
+  mostly_fg_objs(InCRFGBG,InCR),
+  mostly_fg_objs(OutCRFGBG,OutCR),
+  nop((show_changes(InC0,InCR),
+  show_changes(OutC0,OutCR))))))))),ran_collapsed)),
+   ((InC00\=@=InCR;OutC00\=@=OutCR),(InCR\==[],OutCR\==[])),!,
+  write(S).
+
+optimize_objects(InC00,OutC00,InC,OutC):-
+  (maybe_optimize_objects(InC00,OutC00,InC,OutC)->true;(InC00=InC,OutC00=OutC)).
+
+
+
+show_individuated_pair(PairName,ROptions,GridIn,GridOfIn,InC,OutC):-  
+  GridIn=@=GridOfIn,!,
+ must_det_ll((
+  into_iog(InC,OutC,IndvS),
+  show_individuated_nonpair(PairName,ROptions,GridIn,GridOfIn,IndvS))).
+
+show_individuated_pair(PairName,ROptions,GridIn,GridOut,InC00,OutC00):- 
+  maybe_optimize_objects(InC00,OutC00,InCR,OutCR),!,
+  show_individuated_pair(PairName,ROptions,GridIn,GridOut,InCR,OutCR),!.
+
+
+show_individuated_pair(PairName,ROptions,GridIn,GridOut,InCB,OutCB):-
+ must_det_ll((
+  grid_to_tid(GridIn,ID1),  grid_to_tid(GridOut,ID2),   
+ w_section(show_individuated_sections,((                          
+  print_side_by_side(red,GridIn,gridIn(ROptions,ID1,PairName),_,GridOut,gridOut(ID2)),
+  as_ngrid(GridIn,GridIn1),as_ngrid(GridOut,GridOut1), xfer_zeros(GridIn1,GridOut1), 
+  print_side_by_side(yellow,GridIn1,ngridIn(ROptions,ID1,PairName),_,GridOut1,ngridOut(ID2)),
+  %trace,
+  grid_size(GridIn,IX,IY),grid_size(GridOut,OX,OY),
+  print_side_by_side(green,print_grid(IX,IY,InCB),before_rm_bg(ROptions,ID1,PairName),_,print_grid(OX,OY,OutCB),before_rm_bg(ID2)),
+  remove_background_only_object(InCB,InC),remove_background_only_object(OutCB,OutC),
+  %pp(InC),
+  print_side_by_side(green,InC,after_rm_bg(ROptions,ID1),_,OutC,objs(ID2)),
+
+  if_t( \+ nb_current(menu_key,'i'),
+((((((
+
+   show_indivs_side_by_side(inputs,InC),
+   show_indivs_side_by_side(outputs,OutC),
+    
+  %w_section(show_io_groups,show_io_groups(green,ROptions,ID1,InC,ID2,OutC)),
+  %show_io_groups(green,ROptions,ID1,InC,ID2,OutC),
+  =(InCR,InC), =(OutCR,OutC),
+    print_side_by_side(green,InC,lhs(ROptions,ID1),_,OutC,rhs(ROptions,ID2)),
+ true))),
+
+ (((
+  banner_lines(orange), %visible_order(InC,InCR),
+ if_t( once(true; \+ nb_current(menu_key,'i')),
+
+ w_section(show_individuated_learning,must_det_ll((
+   %when_in_html(if_wants_output_for(guess_some_relations,guess_some_relations(InC,OutC))),
+   %when_in_html(if_wants_output_for(sort_some_relations,sort_some_relations(InC,OutC))),
+   if_wants_output_for(learn_group_mapping,        if_t(sub_var(trn,ID1), learn_group_mapping(InCR,OutCR))),
+   if_wants_output_for(learn_group_mapping_of_tst, if_t(sub_var(tst,ID1), learn_group_mapping(InCR,OutCR))), 
+
+
+   if_wants_output_for(show_safe_assumed_mapped, show_safe_assumed_mapped),
+   if_wants_output_for(show_test_associatable_groups, 
+       forall(member(In1,InC),show_test_associatable_groups(ROptions,ID1,In1,GridOut))), 
+
+   if_wants_output_for(try_each_using_training,
+     forall(try_each_using_training(InC,GridOut,RulesUsed,OurOut),
+      ignore((
+       print_grid(try_each_using_training,OurOut),
+       nop(pp(RulesUsed)),
+       banner_lines(orange,2))))))))),
+
+  banner_lines(orange,4))))))))))))),!,
+  if_wants_output_for(show_interesting_props,  show_interesting_props(PairName,InC,OutC)),!.
+  
+
+
+
+show_indivs_side_by_side(W,InC):- \+ wants_html,!,
+  print_list_of(show_indiv(W),W,InC).
+show_indivs_side_by_side(W,InC):- show_indivs_side_by_side_html(W,InC).
+
+show_indivs_side_by_side_html(W,InC):-
+  my_maplist(show_indiv_vert(W),InC,Vert),
+  print_table([Vert]).
+
+show_indiv_vert(W,Obj,TD):- wots(TD,show_indiv(W,Obj)).
+  
+
+
+arc_spyable_keyboard_key(detect_pair_hints,'g').
+arc_spyable_keyboard_key(show_interesting_props,'y').
+arc_spyable_keyboard_key(show_safe_assumed_mapped,'j').
+arc_spyable_keyboard_key(learn_group_mapping,'o').
+arc_spyable_keyboard_key(learn_group_mapping_of_tst,'o').
+arc_spyable_keyboard_key(show_test_associatable_groups,'a').
+arc_spyable_keyboard_key(try_each_using_training,'u').
+
+
+show_test_associatable_groups(ROptions,ID1,InC,GridOut):- 
+  print_grid(wqs(show_test_assocs(ROptions,ID1)),InC),
+  forall(
+    must_det_ll1((use_test_associatable_group(InC,Sols)
+      *-> show_result("Our Learned Sols", Sols,GridOut,_)
+        ; arcdbg_info(red,warn("No Learned Sols")))),
+    true).
+
+
+show_group(ID1,InC):-
+ must_det_ll((
+  length(InC,IL),g_display(InC,InCSS),print_side_by_side(len(ID1,IL)=InCSS),print_grid(combined(ID1)=InC))).
+
+show_io_groups(Color,ROptions,ID1,InC0,ID2,OutC0):- 
+ must_det_ll((    
+    banner_lines(Color,3),  
+    visible_order(InC0,InC), 
+    visible_order(OutC0,OutC),    
+    print_side_by_side(Color,InC,lhs(ROptions,ID1),_,OutC,rhs(ROptions,ID2)),
+    banner_lines(Color,2),
+    show_group(lhs(ID1),InC),
+    banner_lines(Color),
+    show_group(rhs(ID2),OutC),   
+    banner_lines(Color,3))),
+ nop((if_t(should_not_be_io_groups(InC,OutC), ( print(InC),print(OutC),ibreak)))).
+
+should_not_be_io_groups(I,O):- I\==[],O\==[],I=@=O.
+
+visible_order_fg(InC0,InC):- is_grid(InC0),!,InC=InC0.
+visible_order_fg(InC00,InC):- is_list(InC00),!,include(is_used_fg_object,InC00,InC0),visible_order(InC0,InC).
+visible_order_fg(InC,InC).
+visible_order(InC0,InC):- is_grid(InC0),!,InC=InC0.
+visible_order(InC0,InC):- is_list(InC0),!, predsort(sort_on(most_visible),InC0,InC).
+visible_order(InC,InC).
+
+most_visible(Obj,LV):- has_prop(pixel2C(_,_,_),Obj),!, LV= (-1)^1000^1000.
+most_visible(Obj,LV):- area(Obj,1), grid_size(Obj,H,V), Area is (H-1)*(V-1), !, LV=Area^1000^1000.
+most_visible(Obj,LV):- area(Obj,Area),cmass(bg,Obj,BGMass), % cmass(fg,Obj,FGMass),
+  findall(_,doing_map_list(_,_,[Obj|_]),L),length(L,Cnt),NCnt is -Cnt, !, %, NCMass is -CMass,
+  LV = Area^BGMass^NCnt.
+most_visible(_Obj,LV):- LV= (-1)^1000^1000.
+
+
 recalc_sizes(VM,[After|TODO]):-
    recalc_sizes(VM),
    nop((set(VM.lo_program) = [After,recalc_sizes|TODO])).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_imageproc.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_imageproc.pl
index 3882e2b3e6..926b1436e4 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_imageproc.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_imageproc.pl
@@ -334,7 +334,7 @@
 pred_global_cpoints(Pred7,Color,[H|T],Grid,GridO):- !, pred_global_cpoints(Pred7,Color,H,Grid,GridM),pred_global_cpoints(Pred7,Color,T,GridM,GridO).
 pred_global_cpoints(Pred7,FG,Point,Grid,GridO):- FG == fg, point_to_hvc(Point,H,V,C), !, hv_c_value_or(Grid,Old,H,V,_), call(Pred7,H,V,C,Old,Grid,GridO).
 pred_global_cpoints(Pred7,Color,Point,Grid,GridO):- point_to_hvc(Point, H,V,_),  hv_c_value_or(Grid,Old,H,V,_),  call(Pred7,H,V,Color,Old,Grid,GridO).
-%pred_global_cpo ints(Pred7,Color,Point,Grid,GridO):- set_local _points(Pred7,,Point,Grid,GridO).
+%pred_global_cpo ints(Pred7,Color,Point,Grid,GridO):- set_local _points(Pred7,  ,Point,Grid,GridO).
 pred_global_cpoints(Pred7,Color,Point,Grid,Grid):-  nop(warn_skip(((pred_global_points(Pred7,Color,Point))))).
 
 
@@ -489,6 +489,61 @@
 subst_cvars([],[],A,A):-!. 
 subst_cvars([F|FF],[R|RR],S,D):- !, freeze(R,(\=(R,_-_))),subst001(S,F,R,M), subst_cvars(FF,RR,M,D).
 
+
+pair_color_order(Grid,Colors):- 
+  testid_name_num_io_0(Grid,TestID,E,N,_),!,
+  findall(G,kaggle_arc_io(TestID,E+N,_,G),GL),
+  grid_color_order(GL,Colors).
+
+input_color_vary(TestID):-
+  findall(G,kaggle_arc_io(TestID,trn+_,in,G),GL),
+  color_vary(GL).
+output_color_vary(TestID):-
+  findall(G,kaggle_arc_io(TestID,trn+_,out,G),GL),
+  color_vary(GL).
+output_to_input_color_vary(TestID):-
+  forall(kaggle_arc(TestID,trn+_,I,O),color_overlap(I,O)).
+
+color_vary(I,O):- \+ color_overlap(I,O).
+color_vary([I,O]):- !, color_vary(I,O).
+color_vary(List):- forall(pairs_from(List,I,O),color_vary(I,O)).
+
+pairs_from(List,I,O):- append(_,[I|Rest],List),member(O,Rest).
+
+color_overlap(I,O):- fg_color_cc(I,FG1),fg_color_cc(O,FG2),
+  color_overlap_cc(FG1,FG2).
+
+color_overlap_cc(FG1,FG2):-
+  maplist(arg_same(1),FG1,FG2).
+size_overlap_cc(FG1,FG2):-
+  maplist(arg_same(2),FG1,FG2).
+
+
+
+
+fg_color_cc(Grid,FGs):-
+  colors_cc(Grid,CCs),
+  my_include(arg1(is_real_fg_color),CCs,FGs).
+
+test_color_order(Grid,Colors):- 
+  testid_name_num_io_0(Grid,TestID,_,_,_),!,
+  findall(G,kaggle_arc_io(TestID,_,_,G),GL),
+  grid_color_order(GL,Colors).
+
+grid_color_order(Grid,Colors):-
+  fg_color_cc(Grid,FGs),
+  maplist(arg(1),FGs,Colors).
+
+apply_grid_color_order(Colors,Grid,GridO):-
+  (var(Colors)->test_color_order(Grid,Colors);true),
+  available_fg_colors(Avails),
+  mapgrid(subst_color_order(Colors,Avails),Grid,GridO),!.
+subst_color_order(Colors,Avails,Grid,GridO):- 
+  is_color(Grid),nth1(Nth,Colors,E),E=@=Grid,
+  nth1(Nth,Avails,GridO),!.
+subst_color_order(_,_,Grid,Grid).
+
+ 
 /*
 colors_to_vars(B,A,Grid,GridO):- is_list(Grid),!,my_maplist(colors_to_vars(B,A),Grid,GridO).
 colors_to_vars(F,R,S,D):- nth1(N,F,E),E==S,nth1(N,R,D),!.
@@ -688,20 +743,21 @@
 grid_size(NIL,1,1):- NIL==[],!.
 grid_size(ID,H,V):- is_grid_size(ID,H,V),!.
 grid_size(GID,H,V):- atom(GID),gid_to_grid(GID,Grid),!,grid_size_nd(Grid,H,V),!.
-grid_size(OID,H,V):- atom(OID),oid_to_parent_gid(OID,GID),grid_size(GID,H,V),!.
+grid_size(Point,H,V):- is_point(Point),hv_point(H,V,Point),!.
+grid_size(OID,H,V):- \+compound(OID),!,atom(OID),!,oid_to_parent_gid(OID,GID),grid_size(GID,H,V),!.
 grid_size(I,H,V):- notrace(is_object(I)),indv_props_list(I,L),gsize_member(E,H,V),member(E,L),!.
 %grid_size(G,H,V):- quietly(is_object(G)), !, vis2D(G,H,V).
-grid_size(Points,H,V):- is_points_list(Points),!,points_range(Points,_LoH,_LoV,_HiH,_HiV,H,V),!.
+grid_size(Points,H,V):- is_points_list(Points),!,must_det_ll(points_range(Points,_LoH,_LoV,_HiH,_HiV,H,V)),!.
 %grid_size(G,H,V):- is_graid(G,GG),!, grid_size(GG,H,V).
 grid_size(G,H,V):- notrace(is_vm_map(G)),H = G.h,V = G.v, !.
 grid_size(G,H,V):- notrace(is_group(G)),mapgroup(grid_size_term,G,Offsets),grid_size_2d(Offsets,H,V),!.
-grid_size(G,H,V):- findall(size2D(H,V),((sub_term(E,G),compound(E),gsize_member(E,H,V))),Offsets),grid_size_2d(Offsets,H,V),!.
+grid_size(G,H,V):- findall(size2D(H,V),((sub_compound(E,G),gsize_member(E,H,V))),Offsets),grid_size_2d(Offsets,H,V),!.
 %grid_size([G|G],H,V):- is_list(G), length(G,H),length([G|G],V),!.
 grid_size(G,H,V):- notrace(is_grid(G)),!,grid_size_nd(G,H,V),!.
 %grid_size([G|G],H,V):- is_list(G),is_list(G), grid_size_nd([G|G],H,V),!.
 %grid_size(O,_,_):- trace_or_throw(no_grid_size(O)).
-grid_size(G,H,V):- sub_term(E,G),compound(E),E=giz(gid(GID)),nonvar(GID),grid_size(GID,H,V),!.
-grid_size(G,H,V):- sub_term(E,G),compound(E),E=oid(OID),nonvar(OID),oid_to_parent_gid(OID,GID),grid_size(GID,H,V),!.
+grid_size(G,H,V):- sub_compound(E,G),E=giz(gid(GID)),nonvar(GID),grid_size(GID,H,V),!.
+grid_size(G,H,V):- sub_compound(E,G),E=oid(OID),nonvar(OID),oid_to_parent_gid(OID,GID),grid_size(GID,H,V),!.
 
 grid_size(O,30,30):- arcST,itrace,dmsg(warn(grid_size(O,30,30))),!.
 
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_individuation.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_individuation.pl
index 414c19939f..19ad5c5863 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_individuation.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_individuation.pl
@@ -54,37 +54,70 @@
  extend_obj_proplists,
  really_group_vm_priors,
  %whole,
- %combine_objects,
+ %combine_objects, 
  end_of_macro]).
 
 no_fg_mass(Zero):- mass(Zero,Mass),!,Mass=0.
 i_minus_o_equals_none:- i_minus_o(Zero), no_fg_mass(Zero).
 o_minus_i_equals_some:- o_minus_i(Zero), \+ no_fg_mass(Zero).
+mono_i_minus_o_equals_none:- mono_i_minus_o(Zero), no_fg_mass(Zero).
+mono_o_minus_i_equals_some:- mono_o_minus_i(Zero), \+ no_fg_mass(Zero).
+
+i_minus_o(Zero):- current_pair_io(I,O),mapgrid(cell_minus_cell,I,O,Zero).
+o_minus_i(Zero):- current_pair_io(I,O),mapgrid(cell_minus_cell,O,I,Zero).
+
+i_intersect_o(Zero):- current_pair_io(I,O),mapgrid(fg_intersectiond,O,I,Zero).
+mono_i_intersect_o(Zero):- current_pair_io(I,O),mapgrid(fg_intersectiond_mono,O,I,Zero).
+
+mono_i_minus_o(Zero):- current_pair_io(I,O),mapgrid(mono_cell_minus_cell,I,O,Zero).
+mono_o_minus_i(Zero):- current_pair_io(I,O),mapgrid(mono_cell_minus_cell,O,I,Zero).
+
+show_minuses:-
+  maplist(show_minuses,[i_minus_o,mono_i_minus_o,mono_o_minus_i,o_minus_i],SS),
+  print_ss(SS).
+
+show_minuses(P1,P1=G):- call(P1,G).
 
-i_minus_o(Zero):- current_pair(I,O),mapgrid(cell_minus_cell,I,O,Zero).
-o_minus_i(Zero):- current_pair(I,O),mapgrid(cell_minus_cell,O,I,Zero).
 
-mono_i_minus_o(Zero):- current_pair(I,O),mapgrid(mono_cell_minus_cell,I,O,Zero).
-mono_o_minus_i(Zero):- current_pair(I,O),mapgrid(mono_cell_minus_cell,O,I,Zero).
 
-mono_i_to_o_is_none_some_none:- 
-  mono_i_minus_o(Zero1),no_fg_mass(Zero1),
-  mono_o_minus_i(Zero2),no_fg_mass(Zero2),
-  o_minus_i_equals_some.
 
-individuation_macros(complete, ListO):- 
+individuation_macros(complete, [i_complete]).
+individuation_macros(i_complete, ListO):- 
  must_det_ll((
    im_complete(ListC),
    flatten([ListC,do_ending],ListM),
    list_to_set(ListM,ListS))),!,
  ListO=ListS.
 
-i_minus_o_equals_none_o_minus_i_equals_some:- i_minus_o_equals_none,o_minus_i_equals_some.
+pair_test(mono_i_to_o_is_none_some_none).
+pair_test(i_to_o_is_none_some_some).
+pair_test(mono_i_to_o_is_none_some_some_not_color).
+
+
+mono_i_to_o_is_none_some_some_not_color:-
+   \+ i_to_o_is_none_some_some,
+   mono_i_minus_o_equals_none,mono_o_minus_i_equals_some.
+
+
+i_to_o_is_none_some_some:- i_minus_o_equals_none,o_minus_i_equals_some.
+
+mono_i_to_o_is_none_some_none:- 
+  mono_i_minus_o(Zero1),no_fg_mass(Zero1),
+  mono_o_minus_i(Zero2),no_fg_mass(Zero2),
+  o_minus_i_equals_some.
+
+
+
+im_complete(do_im_complete).
+
+is_fti_step(do_im_complete).
 
-im_complete(i_to_o_is_none_some_some):- i_minus_o_equals_none_o_minus_i_equals_some,!.
-im_complete(mono_i_to_o_is_none_some_none):- mono_i_to_o_is_none_some_none,!.
-im_complete(ListO):- test_config(indiv(ListO)), [i_repair_patterns]\=@= ListO,[i_repair_patterns_f]\=@= ListO,[any]\= ListO,['']\= ListO,''\= ListO,!.
-im_complete(i_complete_generic).
+do_im_complete(VM):- is_im_complete(Info), run_fti(VM,Info).
+  
+is_im_complete(i_to_o_is_none_some_some):- i_to_o_is_none_some_some,!.
+is_im_complete(mono_i_to_o_is_none_some_none):- mono_i_to_o_is_none_some_none,!.
+is_im_complete(ListO):- test_config(indiv(ListO)), [i_repair_patterns]\=@= ListO,[i_repair_patterns_f]\=@= ListO,[any]\= ListO,['']\= ListO,''\= ListO,!.
+is_im_complete(i_complete_generic).
 %im_complete(ListO):- ListO=[nsew,all_lines,diamonds,do_ending].
 %im_complete([i_repair_patterns]):- get_current_test(TestID),is_symgrid(TestID),!.
 %im_complete(i_repair_patterns):-!.
@@ -93,45 +126,59 @@
 is_input_vm(VM):- VM.id=(_>(trn+N)*in),!,integer(N).
 
 
-mass_gtt(Two,O):- globalpoints(O,GP),length(GP,Len),Len>Two.
+fg_mass_geq(Two,O):- globalpoints(O,GP),include(is_fg_point,GP,FG), length(FG,Len),Len>=Two.
 % =====================================================================
 is_fti_step(i_to_o_is_none_some_some).
 % =====================================================================
 
 i_to_o_is_none_some_some(VM):- \+ is_output_vm(VM),!,i_to_o_is_none_some_some_in(VM),!.
-i_to_o_is_none_some_some(VM):-
-  is_output_vm(VM),!,
+i_to_o_is_none_some_some(VM):-    is_output_vm(VM),!,
+  set_example_num_vm(VM),
   o_minus_i(NewGrid), 
+  gset(VM.objs)=[],
+  show_minuses,
   set_vm_grid_now(VM,NewGrid),
+  i_intersect_o(Intersect),
+  individuate([keypads],Intersect,AddObjs),
+  my_maplist(mergeObject(VM),AddObjs),
   run_fti(VM,generic_nsew_colormass),
-  current_pair(I,_O),
+  current_pair_io(I,_O),
   set_vm_grid_now(VM,I),
   i_to_o_is_none_some_some_in(VM).
 
 i_to_o_is_none_some_some_in(VM):-
+ set_current_pair(VM.start_grid,VM.target_grid),
  ignore(keypads(VM)),
+
+
+
  length(VM.lo_points,LenMass),
  if_t(LenMass>0,
   must_det_ll((
   OObjs = VM.objs,
+  set_example_num_vm(VM),
+  gset(VM.objs)=[],
+  i_intersect_o(Intersect),
+  individuate([keypads],Intersect,AddObjs),
+  my_maplist(mergeObject(VM),AddObjs),
   o_minus_i(Zero), \+ no_fg_mass(Zero),
   grid_to_points(Zero,Points),
-  gset(VM.grid)=Zero,% individuate(i_colormass,Zero,Library),
+  gset(VM.grid)=Zero,
+  % individuate(i_colormass,Zero,Library),
   gset(VM.lo_points)=Points,
-  gset(VM.objs)=[],
   one_fti(VM,colormass),
   Library1 = VM.objs,
   gset(VM.objs)=[],
   filter_library(Library1,Library),
-  print_grid(library,Library),
-  (Library=[_|_]->my_maplist(add_shape_lib(pairs),Library);true),
+  print_grid(library2(i_to_o_is_none_some_some_in),Library),
+  nop(Library=[_|_]->my_maplist(add_shape_lib(pairs),Library);true),
   OGrid = VM.start_grid,
   OPoints = VM.start_points,
   gset(VM.grid)=OGrid,
   gset(VM.lo_points)=OPoints,
-  print_ss(find_hybrid_shapes,Library,OGrid),
-  find_hybrid_shapes_on(Library,OGrid,RGroup),
-  pp(rgroup=RGroup),
+  print_ss(find_hybrid_shapes2,Library,OGrid),
+  maybe_find_hybrid_shapes_on(Library,OGrid,RGroup),
+  pp(rgroup2=RGroup),
   gset(VM.objs)=OObjs,
   my_maplist(mergeObject(VM),RGroup),
   %addOGSObjects(VM,RGroup),
@@ -143,38 +190,54 @@
   %LeftOver = VM.lo_points,
   points_to_grid(VM.h,VM.v,LeftOver,Grid),
   gset(VM.grid)=Grid,
-  print_ss(afterHybrid,Grid,VM.objs),
+  print_ss(afterHybrid2,Grid,VM.objs),
   run_fti(VM,generic_nsew_colormass)))),!.
 
+set_example_num_vm(VM):-
+ must_det_ll((
+  ID = VM.id,
+  get_example_num(ExampleNum),
+  set_example_num(ID),
+  get_example_num(ExampleNum2),
+  ignore((o_minus_i(NewGrid))),
+  %dmsg(ExampleNum->ID->ExampleNum2),
+  print_ss(wqs(o_minus_i(ExampleNum->ID->ExampleNum2)),NewGrid,VM.objs))),!.
 
 % =====================================================================
 is_fti_step(mono_i_to_o_is_none_some_none).
 % =====================================================================
-mono_i_to_o_is_none_some_none(VM):-
-  is_output_vm(VM),!,
-  run_fti(VM,generic_nsew_colormass).
 
-mono_i_to_o_is_none_some_none(VM):- \+ is_output_vm(VM),!,mono_i_to_o_is_none_some_none_in(VM),!.
+mono_i_to_o_is_none_some_none(VM):-  set_example_num_vm(VM),
+  \+ is_output_vm(VM),!,mono_i_to_o_is_none_some_none_in(VM),!.
 mono_i_to_o_is_none_some_none(VM):-
+  set_example_num_vm(VM),
   is_output_vm(VM),!,
+  must_det_ll((
+  show_minuses,
+  gset(VM.objs)=[],
+  gset(VM.grid)=I,
+  current_pair_io(I,_O),
   o_minus_i(NewGrid), 
   set_vm_grid_now(VM,NewGrid),
   run_fti(VM,generic_nsew_colormass),
-  current_pair(I,_O),
   set_vm_grid_now(VM,I),
-  mono_i_to_o_is_none_some_none_in(VM).
+  gset(VM.grid)=I,
+  gset(VM.start_grid)=I,
+  mono_i_to_o_is_none_some_none_in(VM))).
 
 filter_library(Library1,Library):- 
-  remove_background_only_object(Library1,Library2),
-  include(mass_gtt(2),Library2,Library3),!,
-  include(is_fg_object,Library3,Library).
+  must_det_ll((remove_background_only_object(Library1,Library2),
+  include(fg_mass_geq(3),Library2,Library))),
+%  include(is_fg_object,Library3,Library).
+  !.
 
 mono_i_to_o_is_none_some_none_in(VM):-
+ set_example_num_vm(VM),
  ignore(keypads(VM)),
  length(VM.lo_points,LenMass),
+ OObjs = VM.objs,
  if_t(LenMass>0,
   must_det_ll((
-  OObjs = VM.objs,
   o_minus_i(Zero), \+ no_fg_mass(Zero),
   grid_to_points(Zero,Points),
   gset(VM.grid)=Zero,% individuate(i_colormass,Zero,Library),
@@ -185,14 +248,14 @@
   gset(VM.objs)=[],
   filter_library(Library1,Library),
   %pp(library=Library),
-  print_grid(library,Library),
-  (Library=[_|_]->my_maplist(add_shape_lib(pairs),Library);true),
+  print_grid(library(mono_i_to_o_is_none_some_none_in),Library),
+  nop((Library=[_|_]->my_maplist(add_shape_lib(pairs),Library);true)),
   OGrid = VM.start_grid,
   OPoints = VM.start_points,
   gset(VM.grid)=OGrid,
   gset(VM.lo_points)=OPoints,
   print_ss(find_hybrid_shapes,Library,OGrid),
-  find_hybrid_shapes_on(Library,OGrid,RGroup),
+  maybe_find_hybrid_shapes_on(Library,OGrid,RGroup),
   %i_colormass,
   %trace,
   pp(rgroup=RGroup),
@@ -210,6 +273,8 @@
   print_ss(afterHybrid,Grid,VM.objs),
   run_fti(VM,generic_nsew_colormass)))),!.
 
+mono_i_to_o_is_none_some_none_in(VM):- 
+  run_fti(VM,generic_nsew_colormass).
   
 
 
@@ -249,10 +314,12 @@
   zero_to_black,
   colormass,
   black_to_zero,alone_dots(lte(25)),zero_to_black,
-  print_vm_info(post_generic_nsew_colormass),lo_dots,print_vm_info(post_lo_dots)]).
+  print_vm_info(post_generic_nsew_colormass),
+  lo_dots,
+  print_vm_info(post_lo_dots)]).
 
 
-mass_same_io:- once(arc_common_property(mass(_));((current_pair(I,O),is_grid(O),  mass(I,IM),mass(O,OM), IM=OM))).
+mass_same_io:- once(arc_common_property(mass(_));((current_pair_io(I,O),is_grid(O),  mass(I,IM),mass(O,OM), IM=OM))).
 use_subtractions:-  \+ cant_use_intersections.
   %once(arc_common_property(containsAll(o-i));arc_common_property(containsAll(o-i))).
 
@@ -266,7 +333,7 @@
  forall(nth_above(800,N,L,E+_),
   (find_indivizers(E,R),format('~N'),sformat(S,'~t~d~t  ~w:  ~t~w',[N,E,R]),print_menu_cmd1(write(S),E),nl)).
 do_indivizer_number(N):- 
- list_of_indivizers(L),nth_above(800,N,L,E), set_indivs_mode(E),
+ list_of_indivizers(L),nth_above(800,N,L,E+_), set_indivs_mode(E),
  with_indivs_mode(E,ndividuator).
 
 % vm_grid_call(subst_color(black,brown)),
@@ -274,6 +341,90 @@
 individuation_macros(nsew_bg,[
   with_mapgrid([fgc_as_color(plain_var),bgc_as_color(zero),plain_var_as(black)],'_nsew_bg',[nsew,alone_dots,lo_dots])]).
 
+fill_in_bg(_Black,G2,GG2):- is_fg_color(G2),!,ignore(G2=GG2).
+fill_in_bg(Black,G2,GG2):- \+ G2\=Black,!,ignore(GG2=Black).
+fill_in_bg(Alt,In,Out):- only_color_data_or(Alt,In,Out),!.
+fill_in_bg(_Alt,In,In):-!.
+into_solid_grid(I,GG1):- into_grid(I,G1),mapgrid(fill_in_bg(black),G1,GG1),!.
+
+
+
+
+
+completely_represents(I,O):-
+   into_solid_grid(I,I1),into_solid_grid(O,O1),
+   (I1=@=O1-> true ;  (print_ss(not_completely_represents,I1,O1),fail)).
+
+current_how(HOW,Stuff1,Stuff2):-
+  current_pair_io(I,O), guess_how(HOW,I,O,Stuff1,Stuff2).
+
+current_how_else(HOW,Stuff1,Stuff2):-
+  current_how(HOW,I,O), guess_how_else(HOW,I,O,Stuff1,Stuff2).
+
+
+guess_how_else([HOW|HOW_ELSE],I,O,Stuff1,Stuff2):-
+  guess_how(HOW,I,O,MID1,MID2),
+  maplist(guess_how_else,how,HOW_ELSE,MID1,MID2,Stuff1,Stuff2),!.
+guess_how_else([],I,O,I,O).
+
+guess_how(HOW,I1,O1,Stuff1,Stuff2):-
+  must_det_ll((into_solid_grid(I1,I2),into_solid_grid(O1,O2))),!,
+  indiv_how1(HOW),
+  duplicate_term(I2+O2,I+O),
+  must_det_ll((
+    
+    once((individuate(HOW,I,Stuff1))),
+    once((individuate(HOW,O,Stuff2))))),
+
+    length(Stuff1,L),L>0,length(Stuff2,L),
+    must_det_ll((
+    print_ss(orig,I,O),
+    ignore(completely_represents(I,Stuff1)),
+    ignore(completely_represents(O,Stuff2)),
+    print_ss(objs(HOW,L),Stuff1,Stuff2),
+    save_how_io(HOW,HOW))).
+
+
+
+
+individuation_macros(completely_do(This),[This,do_ending]).
+
+is_grid_io(Grid,RealIO):- get_current_test(TestID),kaggle_arc_io(TestID,_,RealIO,G),Grid=@=G,!.
+indiv_how(IO,How):- is_grid(IO),is_grid_io(IO,RealIO),!,indiv_how(RealIO,How).
+indiv_how(IO,How):- arc_test_property(common,indiv_how(IO),How),!.
+indiv_how(_,How):- indiv_how1(How).
+
+indiv_how1(completely_do(i_complete)).
+indiv_how1(completely_do(i_colormass)).
+indiv_how1(completely_do(i_mono_colormass)).
+%indiv_how(completely_do(maybe_lo_dots)).
+indiv_how1( indv_opt(Flags)):- fail,
+      toggle_values([bground,diags,mono,shape,boxes,parts],Flags).
+toggle_values([N|Names],[V|Vars]):- toggle_values(Names,Vars), toggle_val(N,V).
+toggle_values([],[]).
+toggle_val(Lst,V):- is_list(Lst),!,member(V,Lst).
+toggle_val(N,V):- member(TF,[false,true]), V =..[N,TF].
+
+
+is_fti_step(set_indv_flags).
+set_indv_flags(X,_VM):- set_indv_flags(X),!.
+set_indv_flags(X):- is_list(X),!,maplist(set_indv_flags,X).
+set_indv_flags(NV):- NV=..[N,V],assert(indv_flag(N,V)). 
+
+is_fti_step(which_tf).
+which_tf(Name,True,False,VM):- (indv_flag(Name,true)->run_fti(VM,True);run_fti(VM,False)).
+
+is_fti_step(nop).
+
+individuation_macros(indv_opt(Flags), 
+ [set_indv_flags(Flags),which_tf(mono,fg_shapes(TODO),TODO)]):- 
+ TODO = [ %bg_shapes(nsew),
+           which_tf(shape,do_im_complete,nop),
+           which_tf(diags,colormass,nsew),
+           call(print(Flags)),
+           which_tf(boxes,pbox_vm_special_sizes,nop),
+           which_tf(bground,remove_if_prop(cc(fg,0)),nop)].
+
 
 individuation_macros(i_complete_generic333, 
   [save_as_obj_group([indv_omem_points]),
@@ -432,151 +583,6 @@
 
 
 
-
-
-maybe_optimize_objects(InC00,OutC00,InCR,OutCR):-
- wots(S,
- w_section(optimize_objects, ((
- once((must_det_ll((
-  remove_background_only_object(InC00,InC000),
-  remove_background_only_object(OutC00,OutC000),
- extend_grp_proplist(InC000,InC0),
- extend_grp_proplist(OutC000,OutC0),
-  maybe_fix_group(InC0,InCRFGBG),
-  maybe_fix_group(OutC0,OutCRFGBG),
-  mostly_fg_objs(InCRFGBG,InCR),
-  mostly_fg_objs(OutCRFGBG,OutCR),
-  nop((show_changes(InC0,InCR),
-  show_changes(OutC0,OutCR))))))))),ran_collapsed)),
-   ((InC00\=@=InCR;OutC00\=@=OutCR),(InCR\==[],OutCR\==[])),!,
-  write(S).
-
-optimize_objects(InC00,OutC00,InC,OutC):-
-  (maybe_optimize_objects(InC00,OutC00,InC,OutC)->true;(InC00=InC,OutC00=OutC)).
-
-
-
-show_individuated_pair(PairName,ROptions,GridIn,GridOfIn,InC,OutC):-  
-  GridIn=@=GridOfIn,!,
- must_det_ll((
-  into_iog(InC,OutC,IndvS),
-  show_individuated_nonpair(PairName,ROptions,GridIn,GridOfIn,IndvS))).
-
-show_individuated_pair(PairName,ROptions,GridIn,GridOut,InC00,OutC00):- 
-  maybe_optimize_objects(InC00,OutC00,InCR,OutCR),!,
-  show_individuated_pair(PairName,ROptions,GridIn,GridOut,InCR,OutCR),!.
-
-
-show_individuated_pair(PairName,ROptions,GridIn,GridOut,InCB,OutCB):-
- must_det_ll((
-  grid_to_tid(GridIn,ID1),  grid_to_tid(GridOut,ID2),   
- w_section(show_individuated_sections,((                          
-  print_side_by_side(red,GridIn,gridIn(ROptions,ID1,PairName),_,GridOut,gridOut(ID2)),
-  as_ngrid(GridIn,GridIn1),as_ngrid(GridOut,GridOut1), xfer_zeros(GridIn1,GridOut1), 
-  print_side_by_side(yellow,GridIn1,ngridIn(ROptions,ID1,PairName),_,GridOut1,ngridOut(ID2)),
-  %trace,
-  remove_background_only_object(InCB,InC),remove_background_only_object(OutCB,OutC),
-  %pp(InC),
-  print_side_by_side(green,InC,objs(ROptions,ID1),_,OutC,objs(ID2)),
-
-  if_t( \+ nb_current(menu_key,'i'),
-((((((
-  if_wants_output_for(show_interesting_props, 
-   show_interesting_props(PairName,InC,OutC)),
-  show_indivs_side_by_side(inputs,InC),show_indivs_side_by_side(outputs,OutC),
-  %w_section(show_io_groups,show_io_groups(green,ROptions,ID1,InC,ID2,OutC)),
-  %show_io_groups(green,ROptions,ID1,InC,ID2,OutC),
-  =(InCR,InC), =(OutCR,OutC),
- true))),
- (((
-  banner_lines(orange), %visible_order(InC,InCR),
- if_t( once(true; \+ nb_current(menu_key,'i')),
-
- w_section(show_individuated_learning,must_det_ll((
-   %when_in_html(if_wants_output_for(guess_some_relations,guess_some_relations(InC,OutC))),
-   %when_in_html(if_wants_output_for(sort_some_relations,sort_some_relations(InC,OutC))),
-   if_wants_output_for(learn_group_mapping,        if_t(sub_var(trn,ID1), learn_group_mapping(InCR,OutCR))),
-   if_wants_output_for(learn_group_mapping_of_tst, if_t(sub_var(tst,ID1), learn_group_mapping(InCR,OutCR))), 
-
-
-   if_wants_output_for(show_safe_assumed_mapped, show_safe_assumed_mapped),
-   if_wants_output_for(show_test_associatable_groups, 
-       forall(member(In1,InC),show_test_associatable_groups(ROptions,ID1,In1,GridOut))), 
-
-   if_wants_output_for(try_each_using_training,
-     forall(try_each_using_training(InC,GridOut,RulesUsed,OurOut),
-      ignore((
-       print_grid(try_each_using_training,OurOut),
-       nop(pp(RulesUsed)),
-       banner_lines(orange,2))))))))),
-
-  banner_lines(orange,4))))))))))))),!.
-
-
-show_indivs_side_by_side(W,InC):- \+ wants_html,!,
-  print_list_of(show_indiv(W),W,InC).
-show_indivs_side_by_side(W,InC):- show_indivs_side_by_side_html(W,InC).
-
-show_indivs_side_by_side_html(W,InC):-
-  my_maplist(show_indiv_vert(W),InC,Vert),
-  print_table([Vert]).
-
-show_indiv_vert(W,Obj,TD):- wots(TD,show_indiv(W,Obj)).
-  
-
-
-arc_spyable_keyboard_key(detect_pair_hints,'g').
-arc_spyable_keyboard_key(show_interesting_props,'y').
-arc_spyable_keyboard_key(show_safe_assumed_mapped,'j').
-arc_spyable_keyboard_key(learn_group_mapping,'o').
-arc_spyable_keyboard_key(learn_group_mapping_of_tst,'o').
-arc_spyable_keyboard_key(show_test_associatable_groups,'a').
-arc_spyable_keyboard_key(try_each_using_training,'u').
-
-
-show_test_associatable_groups(ROptions,ID1,InC,GridOut):- 
-  print_grid(wqs(show_test_assocs(ROptions,ID1)),InC),
-  forall(
-    must_det_ll1((use_test_associatable_group(InC,Sols)
-      *-> show_result("Our Learned Sols", Sols,GridOut,_)
-        ; arcdbg_info(red,warn("No Learned Sols")))),
-    true).
-
-
-show_group(ID1,InC):-
- must_det_ll((
-  length(InC,IL),g_display(InC,InCSS),print_side_by_side(len(ID1,IL)=InCSS),print_grid(combined(ID1)=InC))).
-
-show_io_groups(Color,ROptions,ID1,InC0,ID2,OutC0):- 
- must_det_ll((    
-    banner_lines(Color,3),  
-    visible_order(InC0,InC), 
-    visible_order(OutC0,OutC),    
-    print_side_by_side(Color,InC,lhs(ROptions,ID1),_,OutC,rhs(ROptions,ID2)),
-    banner_lines(Color,2),
-    show_group(lhs(ID1),InC),
-    banner_lines(Color),
-    show_group(rhs(ID2),OutC),   
-    banner_lines(Color,3))),
- nop((if_t(should_not_be_io_groups(InC,OutC), ( print(InC),print(OutC),ibreak)))).
-
-should_not_be_io_groups(I,O):- I\==[],O\==[],I=@=O.
-
-visible_order_fg(InC0,InC):- is_grid(InC0),!,InC=InC0.
-visible_order_fg(InC00,InC):- is_list(InC00),!,include(is_used_fg_object,InC00,InC0),visible_order(InC0,InC).
-visible_order_fg(InC,InC).
-visible_order(InC0,InC):- is_grid(InC0),!,InC=InC0.
-visible_order(InC0,InC):- is_list(InC0),!, predsort(sort_on(most_visible),InC0,InC).
-visible_order(InC,InC).
-
-most_visible(Obj,LV):- has_prop(pixel2C(_,_,_),Obj),!, LV= (-1)^1000^1000.
-most_visible(Obj,LV):- area(Obj,1), grid_size(Obj,H,V), Area is (H-1)*(V-1), !, LV=Area^1000^1000.
-most_visible(Obj,LV):- area(Obj,Area),cmass(bg,Obj,BGMass), % cmass(fg,Obj,FGMass),
-  findall(_,doing_map_list(_,_,[Obj|_]),L),length(L,Cnt),NCnt is -Cnt, !, %, NCMass is -CMass,
-  LV = Area^BGMass^NCnt.
-most_visible(_Obj,LV):- LV= (-1)^1000^1000.
-
-
 % =========================================================
 % TESTING FOR INDIVIDUATIONS
 % =========================================================
@@ -608,11 +614,8 @@
   into_grids(GridSpec,GridIn),
   once((into_grid(GridIn,Grid),igo(ROptions,Grid))).
 
-i_pair(ROptions,GridIn,GridOut):-
-  check_for_refreshness,
-  maybe_name_the_pair(GridIn,GridOut,PairName),
-  individuate_pair(ROptions,GridIn,GridOut,InC,OutC),
-  show_individuated_pair(PairName,ROptions,GridIn,GridOut,InC,OutC).
+/*
+*/
 
 %worker_output(G):- \+ menu_or_upper('B'),!, time(wots(_,arc_weto(G))).
 worker_output(G):- call(G).
@@ -832,11 +835,12 @@
 % =====================================================================
 is_fti_step(print_vm_info).
 % =====================================================================
+print_vm_info(_Why,_VM):-!.
 print_vm_info(Why,VM):-
-  print_grid(VM.h,VM.v,i(print_vm_info(Why,points)),VM.lo_points),  
-  writeg(i(print_vm_info(Why,grid))=VM.grid),
+  \+ \+ print_grid(VM.h,VM.v,ii(print_vm_info(Why,points)),VM.lo_points),  
+  \+ \+ writeg(i(print_vm_info(Why,grid))=VM.grid),
   visible_order(VM.objs,Objs),
-  print_grid(VM.h,VM.v,i(print_vm_info(Why,objs)),Objs),
+  \+ \+ print_grid(VM.h,VM.v,ii(print_vm_info(Why,objs)),Objs),
   banner_lines(red).
  
 % =====================================================================
@@ -881,7 +885,7 @@
   O1\==O2, 
   globalpoints(O1,Ps1),globalpoints(O2,Ps2),
   Ps1\==Ps2,
-  area(O1,A1),area(O2,A2), (A1/4>A2),
+  area(O1,A1),area(O2,A2), ((A1/4)>A2),
   findall(C-P1,(member(C-P1,Ps1),member(C-P1,Ps2)),Overlaps),
   length(Overlaps,Len),Len>=2,
   area_contained(O1,O2),
@@ -1207,28 +1211,8 @@
 ensure_objects(VM):-
  must_det_ll((
   if_t(\+ is_group(VM.objs),
-  (individuate(complete,VM),
-   extend_obj_proplists(VM),
-   objects_into_grid(VM))))).
-/*
-% =====================================================================
-is_fti_step(grid_to_objs).
-% =====================================================================
-grid_to_objs(VM):- 
-  run_fti(VM,[complete]),
-  extend_obj_proplists(VM),
-  Objs = VM.objs,!,
-  show_indivs_side_by_side(grid_to_objs,Objs),
-  my_maplist(pp,Objs),
-  Objs = Grp,
-  gset(VM.objs)=Grp,
-  grid_size(Grp,H,V), gset(VM.h)=H, gset(VM.v)=V,
-  globalpoints(Grp, Points),
-  gset(VM.lo_points)=Points,
-  points_to_grid(VM.h,VM.v,Points,Grid),
-  gset(VM.grid)=Grid,!.
- % set_vm_grid_now(VM,Objs),!.
-*/
+  (individuate(complete,VM))))).
+
 % =====================================================================
 is_fti_step(objects_into_grid).
 % =====================================================================
@@ -1384,7 +1368,7 @@
  ignore((
   enum_hybrid_shapes(Set,VM),
   %find_hybrid_shapes_on(VM.gid,Set,VM.o_grid,GroupO),
-  find_hybrid_shapes_on(Set,VM.grid,Group),
+  maybe_find_hybrid_shapes_on(Set,VM.grid,Group),
   ((var(Group);Group==[])->true;addOGSObjects(VM,Group)))).
   
 enum_hybrid_shapes(Set,_VM):-
@@ -1414,6 +1398,8 @@
 ogs_size_ok(SX,SY,_Mass):- SY=2,SX=2,!.
 ogs_size_ok(_SX,_SY,Mass):- Mass>3,!.
 
+maybe_find_hybrid_shapes_on(_,_,[]):-!.
+maybe_find_hybrid_shapes_on( Set,Grid,AllInUse):- find_hybrid_shapes_on( Set,Grid,AllInUse),!.
 find_hybrid_shapes_on([],_,[]):-!.
 find_hybrid_shapes_on(_Set,Grid,[]):- mass(Grid,GMass), GMass<1,  !.
 find_hybrid_shapes_on( Set,Grid,AllInUse):-
@@ -1811,8 +1797,8 @@
 :- multifile(muarc:clear_all_caches/0).
 :- dynamic(muarc:clear_all_caches/0).
 muarc:clear_all_caches:-  forall(muarc:clear_arc_caches,true), fail.
-:- luser_default(use_individuated_cache,false).
-:- luser_setval(use_individuated_cache,false).
+:- luser_default(use_individuated_cache,true).
+:- luser_setval(use_individuated_cache,true).
 
 get_individuated_cache(TID,ROptions,GOID,IndvS):- nonvar(ROptions),
   ground(GOID), \+ luser_getval(use_individuated_cache,false), call_in_testid(arc_cache:individuated_cache(TID,GOID,ROptions,IndvS)),!.
@@ -1837,10 +1823,12 @@
   must_grid_to_gid(GridIn,GOID), !,
   individuate2(VM,ROptions,GOID,GridIn,IndvS),
   once((delistify_single_element(ROptions,NamedOpts),
-        save_grouped(individuate(NamedOpts,GOID),IndvS))).
+        maybe_save_grouped(individuate(NamedOpts,GOID),IndvS))).
 
 must_grid_to_gid(GridIn,GOID):- must_det_ll(grid_to_gid(GridIn,GOID)).
 
+maybe_save_grouped(A,B):- save_grouped(A,B).
+
 allow_out_in :- true.
 
 first_grid_same_areas(In,Out,IO):-
@@ -1883,22 +1871,22 @@
 compile_and_save_current_test_pt_2(_TestID,_):- cant_use_intersections,!.
 
 compile_and_save_current_test_pt_2(_TestID,_):-
-   current_pair(I,O),
+   current_pair_io(I,O),
    arc_common_property(containsAll(i-o)),
    mapgrid(cell_minus_cell,I,O,IMinusO),
    print_grid(early_i_minus_o,IMinusO).
 
 compile_and_save_current_test_pt_2(_TestID,_):-
-   current_pair(I,O), 
+   current_pair_io(I,O), 
    arc_common_property(containsAll(o-i)),
    mapgrid(cell_minus_cell,O,I,OMinusI),
    print_grid(early_o_minus_i,OMinusI),!.
 
-cell_minus_cell(I,O,M):- maybe_mapgrid(cell_minus_cell,I,O,M),!.
+cell_minus_cell(I,O,M):- is_grid(I),!,mapgrid(cell_minus_cell,I,O,M),!.
 cell_minus_cell(I,O,M):- I=@=O, M=bg.
 cell_minus_cell(I,_,I).
 
-mono_cell_minus_cell(I,O,M):- maybe_mapgrid(mono_cell_minus_cell,I,O,M),!.
+mono_cell_minus_cell(I,O,M):- is_grid(I),!,mapgrid(mono_cell_minus_cell,I,O,M),!.
 mono_cell_minus_cell(I,O,M):- is_fg_color(I),is_fg_color(O), M=bg.
 mono_cell_minus_cell(I,_,I).
 
@@ -1934,7 +1922,7 @@
  must_be_free(IndvSI),must_be_free(IndvSO),
   check_for_refreshness,
   into_grid(In,InG), into_grid(Out,OutG),
-  individuate_two_grids(ROptions,InG,OutG,IndvSII,IndvSOO),
+  with_current_pair(InG,OutG,individuate_two_grids(ROptions,InG,OutG,IndvSII,IndvSOO)),
   IndvSOO=IndvSO,IndvSII=IndvSI,!.
 
 
@@ -1945,13 +1933,14 @@
   delistify_single_element(ROptions,NamedOpts),
   must_grid_to_gid(GridIn,OIDIn), must_grid_to_gid(GridOut,OIDOut),
   locally(nb_setval(doing_pair,t),
-    individuate_two_grids_once(two(OIDIn,OIDOut),NamedOpts,GridIn,GridOut,IndvSI,IndvSO)).
+    with_current_pair(GridIn,GridOut,
+      individuate_two_grids_once(two(OIDIn,OIDOut),NamedOpts,GridIn,GridOut,IndvSI,IndvSO))).
 
 /*
 individuate_two_grids_once(OID_In_Out,ROptions,GridIn,GridOut,IndvSI,IndvSO):- saved_group(individuate(ROptions,OID_In_Out),IndvS),!,into_gio(IndvS,IndvSI,IndvSO),!.
 individuate_two_grids_once(OID_In_Out,ROptions,GridIn,GridOut,IndvSI,IndvSO):- 
     individuate_two_grids_now(OID_In_Out,ROptions,GridIn,GridOut,IndvSI,IndvSO),
-    ignore((into_iog(IndvSI,IndvSO,IndvS),save_grouped(individuate(ROptions,OID_In_Out),IndvS))).
+    ignore((into_iog(IndvSI,IndvSO,IndvS),maybe_save_grouped(individuate(ROptions,OID_In_Out),IndvS))).
 */
 
 individuate_two_grids_once(OID_In_Out,ROptions,GridIn,GridOut,IndvSI,IndvSO):- 
@@ -1959,7 +1948,7 @@
   ((saved_group(individuate(ROptions,OID_In_Out),IndvS),IndvS\==[])
     -> into_gio(IndvS,IndvSI,IndvSO)
     ; ((individuate_two_grids_now(OID_In_Out,ROptions,GridIn,GridOut,IndvSI,IndvSO),
-         into_iog(IndvSI,IndvSO,IndvS),save_grouped(individuate(ROptions,OID_In_Out),IndvS)))).
+         into_iog(IndvSI,IndvSO,IndvS),maybe_save_grouped(individuate(ROptions,OID_In_Out),IndvS)))).
 
 
 :- retractall(is_why_grouped_g(_,_,_,_)).
@@ -2033,7 +2022,7 @@
    individuate2(VM_In,ROptions,ID_In,Grid_In,Objs_In),
    individuate2(VM_Out,ROptions,ID_Out,Grid_Out,Objs_Out),
    into_iog(Objs_In,Objs_Out,IndvS),
-  save_grouped(individuate(ROptions,OID_In_Out),IndvS))),!.
+  maybe_save_grouped(individuate(ROptions,OID_In_Out),IndvS))),!.
 /*
 
 individuate_two_grids_now_X(OID_In_Out,ROptions,Grid_In,Grid_Out,VM_In,VM_Out,Grid_InX,Grid_OutX,Objs_InX,Objs_OutX):- 
@@ -2058,7 +2047,7 @@
   with_other_grid(Grid_In,individuate2(VM_OutX,ROptions,OID_Out,Grid_OutX,Objs_OutX)))),!,
 
   into_iog(Objs_InX,Objs_OutX,IndvS),
-  save_grouped(individuate(ROptions,OID_In_Out),IndvS))).
+  maybe_save_grouped(individuate(ROptions,OID_In_Out),IndvS))).
 */
 
 individuate2(VM,[ROptions],GOID,Grid,IndvS):- nonvar(ROptions), !, individuate2(VM,ROptions,GOID,Grid,IndvS).
@@ -2124,22 +2113,30 @@
       %ensure_fti(GH,GV,ID,Grid,[],Reserved,NewOptions,Points,VM),   
       set_vm(VM),
       %individuals_raw(VM,GH,GV,ID,NewOptions,Reserved,Points,Grid,IndvSRaw),
-      run_fti(VM,ROptions), 
+      run_fti(VM,ROptions),
+      ObjsB = VM.objs,
       remove_background_only_object(VM),
+      find_relations(VM),      
+      remove_dead_links(VM),
+      extend_obj_proplists(VM),
+      really_group_vm_priors(VM),
+      %remove_if_prop(cc(fg,0),VM),
       IndvSRaw = VM.objs,
   %as_debug(9,ppt((individuate=IndvSRaw))),
       make_indiv_object_list(VM,IndvSRaw,IndvS1),
       %combine_objects(IndvS1,IndvS2),
       combine_same_globalpoints(IndvS1,IndvS),
+      print_ss(indvS,ObjsB,IndvS),
       %list_to_set(IndvS1,IndvS),
       nop(print_info(IndvS)))).  
 
 
 maybe_into_fti(ID_In,[ROptions],Grid_In,VM_In):- nonvar(ROptions),!,maybe_into_fti(ID_In,ROptions,Grid_In,VM_In). 
-maybe_into_fti(ID_In,ROptions,Grid_In,VM_In):- ROptions==complete,grid_vm(Grid_In,VM_In),!,gset(VM_In.id) = ID_In.
+%maybe_into_fti(ID_In,ROptions,Grid_In,VM_In):- ROptions==complete,grid_vm(Grid_In,VM_In),!,gset(VM_In.id) = ID_In.
 maybe_into_fti(ID_In,ROptions,Grid_In,VM_In):- into_fti(ID_In,ROptions,Grid_In,VM_In).
 
-into_fti(ID,ROptions,GridIn0,VM):-
+
+into_fti(TID,ROptions,GridIn0,VM):-
   fix_indivs_options(ROptions,Options),
   must_det_ll((
    ignore((ROptions \= Options,
@@ -2151,7 +2148,8 @@
   (is_dict(GridIn0)-> (VM = GridIn0, GridIn = GridIn0.grid) ; GridIn0 = GridIn),
   into_grid(GridIn,Grid),
   globalpoints_include_bg(GridIn,Points),
-  (var(ID)->grid_to_tid(Grid,ID);true),
+  (var(TID)->grid_to_tid(Grid,TID);true),
+  tid_to_id(TID,ID),
   grid_size(Grid,H,V),
  % rb_new(HM),duplicate_term(HM,Hashmap),
   max_min(H,V,MaxM,_),
@@ -2163,6 +2161,8 @@
   TID_GID=tid_gid(ID,GOID),
   check_tid_gid(TID_GID,Grid),
 
+  set_example_num(ID),
+
   
   ignore(other_grid_size(Grid,OGX,OGY)),
 
@@ -2184,6 +2184,7 @@
    area:Area,
    added_points:[],
    lo_points:Points,
+   start_points:Points, % repaired:[],
    props:_{},
    option_repair_grid:  _, % Automatic,  
    option_pboxes:  _, % Automatic,  
@@ -2206,7 +2207,8 @@
 
   option_NoLinks:_,
 
-%=%   changed:_,% solution:_,neededChanged
+%=%   
+   changed:_,% solution:_,neededChanged
    neededChanged:_, repaired:_,
    full_grid:_,
    parent_vm:_,
@@ -2215,7 +2217,7 @@
    start_grid:Grid, 
    ngrid:_,
    rule_dir: ROptions,
-   start_points:Points, % repaired:[],
+   
    % objects found in grid and object that are reserved to not be found
    objs:[],  robjs:Reserved, % objs_prev:[],
    % Notes and debug info
@@ -2353,12 +2355,13 @@
 fti(VM,NotAList):- \+ is_list( NotAList),!, fti(VM,[NotAList]).
 fti(VM,[Step|Program]):- is_list(Step),append(Step,Program,StepProgram),!,fti(VM,StepProgram).
 fti(VM,[end_of_macro|TODO]):- !, fti(VM,TODO).
+
 fti(_,[Done|TODO]):-  ( \+ done \= Done ), !, u_dmsg(done_fti([Done|TODO])),!.
 %fti(VM,_):- VM.lo_points==[], !.
 fti(VM,_):-
   Objs = VM.objs,  
   length(Objs,Count),
-  ((member(progress,VM.options); Count > VM.objs_max_len; (statistics(cputime,X), X > (VM.timeleft)))) -> 
+  ((member(progress,VM.options); catch_log(Count > VM.objs_max_len); (statistics(cputime,X), catch_log(X > (VM.timeleft))))) -> 
    print_vm_debug_objs(VM),fail.
 
 fti(VM,[+(AddOptions)|TODO]):- !,
@@ -2649,7 +2652,7 @@
 
 into_monogrid(Orig,NewGrid):-mapgrid(mono_shaped,Orig,NewGrid).
 
-mono_shaped(G,O):- maybe_mapgrid(mono_shaped,G,O),!.
+mono_shaped(G,O):- is_grid(G),!,mapgrid(mono_shaped,G,O),!.
 mono_shaped(Cell,NewCell):- mono_shaped(fg,wbg,Cell,NewCell).
 mono_shaped(_FG,_BG,Cell,bg):- plain_var(Cell),!.
 mono_shaped(_FG,_BG,Cell,bg):- Cell==bg,!.
@@ -3036,9 +3039,10 @@
 remove_background_only_object(VM):-
   Objs = VM.objs,
   ignore((
-  is_group(Objs),length(Objs,Len),Len>1,    
+  is_group(Objs),length(Objs,Len),Len>1,
+  must_det_ll((
   remove_background_only_object(Objs,NewObjs,VM),
-  setObjects(NewObjs,VM))),!.
+  setObjects(NewObjs,VM))))),!.
 
 setObjects(NewObjs,VM):-
     VM.objs == NewObjs -> true ; gset(VM.objs)=NewObjs.
@@ -3048,14 +3052,21 @@
 remove_background_only_object(Objs,NewObjs,VM):-
   remove_background_only_object(VM.h,VM.v,Objs,NewObjs).
 
+remove_background_only_object(H,V,Objs,NewObjs):- fail,
+   select(O,Objs,Mid),
+   contains_numberedvars(O),
+   pp(O),
+   fail,
+   !,remove_background_only_object(H,V,Mid,NewObjs).
+
 remove_background_only_object(H,V,Objs,NewObjs):-
-    select(O,Objs,NewObjs),
+    select(O,Objs,Mid),
     area(O,Area),Area>3,
     vis2D(O,OH,OV), abs(H - OH)<3, abs(V - OV)<3,
     has_prop(cc(fg,0),O),
     %has_prop(cc(plain_var,0),O),!,
-    %print_ss(remove_background_only_object,[O],NewObjs),
-    !.
+    print_ss(remove_background_only_object,[O],NewObjs),
+    !,remove_background_only_object(H,V,Mid,NewObjs).
 remove_background_only_object(_,_,Objs,Objs):-!.
 
 % =====================================================================
@@ -3081,7 +3092,7 @@
 % =====================================================================
 is_fti_step(fg_subtractions).
 % =====================================================================
-fg_subtractiond(G,M,O):- maybe_mapgrid(fg_subtractiond,G,M,O),!.
+fg_subtractiond(G,M,O):- is_grid(G),!,mapgrid(fg_subtractiond,G,M,O),!.
 fg_subtractiond(This,Minus,_):- This =@= Minus,!.  %fg_subtractiond(This,Minus,_):- \+ This \= Minus,!.
 fg_subtractiond(This,_,This).
 
@@ -3125,7 +3136,7 @@
 vm_subst(Black,Zero,VM):-
   subst001(VM,Black,Zero,NewVM),
   set(VM.grid)=NewVM.grid,
-  itrace,set(VM.start_grid)=NewVM.start_grid,
+  set(VM.start_grid)=NewVM.start_grid,
   set(VM.objs)=NewVM.objs,
   set(VM.start_points)=NewVM.start_points,
   set(VM.lo_points)=NewVM.lo_points,
@@ -3136,14 +3147,14 @@
 % =====================================================================
 is_fti_step(fg_intersections).
 % =====================================================================
-fg_intersectiond(This,That,Inter):- maybe_mapgrid(fg_intersectiond,This,That,Inter),!.
+fg_intersectiond(This,That,Inter):- is_grid(This),!,mapgrid(fg_intersectiond,This,That,Inter),!.
 fg_intersectiond(This,That,This):- This =@= That,!.
-fg_intersectiond(_,_,bg).
+fg_intersectiond(Cell,_,bg):- \+ is_grid(Cell).
 %fg_intersectiond(_,_,Black):-  get_black(Black).
 
-fg_intersectiond_mono(This,That,Inter):- maybe_mapgrid(fg_intersectiond_mono,This,That,Inter),!.
+fg_intersectiond_mono(This,That,Inter):- is_grid(This),!,mapgrid(fg_intersectiond_mono,This,That,Inter),!.
 fg_intersectiond_mono(This,That,This):- is_fg_color(This),is_fg_color(That).
-fg_intersectiond_mono(_,_,bg).
+fg_intersectiond_mono(Cell,_,bg):- \+ is_grid(Cell).
 
 
 cant_use_intersections:- 
@@ -3191,7 +3202,7 @@
 bigger_grid_contains_other_i_o_1(out,VM):- 
  copy_term(VM.start_grid,Grid),
  other_grid(Grid,Other), is_grid(Other),
- current_pair(I,O), O=@=Grid,
+ current_pair_io(I,O), O=@=Grid,
   arc_common_property(containsAll(o-i)),
   individuate(generic_nsew_colormass,I,IObjs),
   mapgrid(cell_minus_cell,O,I,R),
@@ -3205,7 +3216,7 @@
 bigger_grid_contains_other_i_o_2(in,VM):- 
  copy_term(VM.start_grid,Grid),
  other_grid(Grid,Other), is_grid(Other),
- current_pair(I,O), I=@=Grid,
+  current_pair_io(I,O), I=@=Grid,
   %arc_common_property(containsAll(i-o)),
   mapgrid(cell_minus_cell,I,O,R),
   individuate(generic_nsew_colormass,O,OObjs),
@@ -3218,7 +3229,7 @@
 bigger_grid_contains_other_i_o_2(IO,VM):- 
  copy_term(VM.start_grid,Grid),
  other_grid(Grid,Other), is_grid(Other),
- current_pair(I,O),
+ current_pair_io(I,O),
  I=@=Grid,  
    arc_common_property(containsAll(i-o)),
   must_det_ll((
@@ -3239,7 +3250,7 @@
 /*
 
 glean_shape_lib(VM):- 
- current_pair(I,O),
+ current_pair_io(I,O),
  ignore(glean_shape_lib_i(I,O,VM)),
  ignore(glean_shape_lib_o(I,O,VM)).
 
@@ -3446,9 +3457,10 @@
     must_grid_to_gid(GridIn,GOID),
     individuate2(_,ROptions,GOID,GridIn,IndvS0),
     my_maplist(add_birth_if_missing(indiv(ROptions)),IndvS0,IndvSL),
-    once((delistify_single_element(ROptions,NamedOpts), save_grouped(individuate(NamedOpts,GOID),IndvSL))),!,
+    once((delistify_single_element(ROptions,NamedOpts), 
+      (maybe_save_grouped(individuate(NamedOpts,GOID),IndvSL)))),!,
     TID = VM.id,
-  asserta_in_testid(arc_cache:individuated_cache(TID,GOID,ROptions,IndvSL)),
+  (asserta_in_testid(arc_cache:individuated_cache(TID,GOID,ROptions,IndvSL))),
   nop((addObjectOverlap(VM,IndvSL))))),!.
 
 
@@ -3767,14 +3779,14 @@
 is_fti_step(keypads).
 % ======================================
 keypads(VM):- 
- ignore((
   Grid = VM.grid,
   trim_to_rect4(OX,OY,EX,EY,Grid,Keypad),
   grid_size(Keypad,H,V),
   print_ss(keypad(OX,OY,H,V,EX,EY),Grid,Keypad),
   H==3,V==3,
-  mass(Keypad,Mass),!,
+  mass(Keypad,Mass),
   Mass>=9,Mass=<9,
+  must_det_ll((
   grid_to_points(Keypad,LPoints),
   writeg(keypad=Keypad),
   length(LPoints,Len),
@@ -3783,10 +3795,34 @@
   %itrace,
   my_maplist(make_point_object(VM,[birth(keypads),iz(media(shaped))]),AllGpoints,IndvList),
   print_grid(allGpoints,IndvList),
+ % remLOPoints(VM,IndvList),
+  remLOPoints(VM,IndvList))),!.
+  %addObjects(VM,IndvList)
+
+keypads(VM):- 
+ ignore((
+  Grid = VM.grid,
+  trim_to_rect4(OX,OY,EX,EY,Grid,Keypad),
+  grid_size(Keypad,H,V),
+  print_ss(keypad(OX,OY,H,V,EX,EY),Grid,Keypad),
+  Area is H*V,
+  once( H>1 ;  V>1 ),
+  mass(Keypad,Mass),
+  Mass==Area,Mass=<25,
+  grid_to_points(Keypad,LPoints),
+  unique_colors(LPoints,CCs),CCs=[_,_|_],
+  writeg(keypad=Keypad),
+  length(LPoints,Len),
+  writeg(points(Len)=LPoints),
+  must_det_ll((
+  offset_points0(OX,OY,LPoints,AllGpoints),
+  %itrace,
+  my_maplist(make_point_object(VM,[birth(keypads),iz(media(shaped))]),AllGpoints,IndvList),
+  print_grid(allGpoints,IndvList),
  % remLOPoints(VM,IndvList),
   remLOPoints(VM,IndvList),
   %addObjects(VM,IndvList)
-  !)),!.
+  !)))),!.
 
 % ======================================
 % tiny grid becomes a series of points
@@ -3827,7 +3863,7 @@
   %run_fti(VM,[i_by_color]),
   set(VM.lo_program)=Code,
   using_alone_dots(VM,(my_maplist(make_point_object(VM,[birth(glyphic),iz(media(shaped))]),UPoints,IndvList), assumeAdded(VM,IndvList),
-  save_grouped(individuate(glyphic,VM.gid),IndvList))))))).
+  maybe_save_grouped(individuate(glyphic,VM.gid),IndvList))))))).
 
 %make_point_object(VM,_Opts,Point,Indv):-
 %    member(Point=Indv, VM.added_points),!.
@@ -3872,12 +3908,12 @@
   make_indiv_object(VM,[iz(stype(whole)),iz(media(image)),% iz(flag(hidden)),
     mass(Area),loc2D(1,1),globalpoints(Points),localpoints(Points)|Props],
     Points,Whole),assumeAdded(VM,Whole),
-  save_grouped(individuate(whole,VM.gid),[Whole]),learn_hybrid_shape(pair,Whole))).
+  maybe_save_grouped(individuate(whole,VM.gid),[Whole]),learn_hybrid_shape(pair,Whole))).
   /*
   if_t(Len>=0,
     (make_indiv_object(VM,[mass(Len),vis2D(H,V),iz(stype(whole)),iz(flag(always_keep)),loc2D(1,1),iz(media(image))|Props],Points,Whole),
       assumeAdded(VM,Whole),
-       save_grouped(individuate(whole,VM.gid),[Whole]),learn_hybrid_shape(pair,Whole))),
+       maybe_save_grouped(individuate(whole,VM.gid),[Whole]),learn_hybrid_shape(pair,Whole))),
   localpoints(Grid,LPoints),
   length(LPoints,CLen),if_t((CLen=<144,CLen>=0),    
     (make_indiv_object(VM,[iz(stype(whole)),iz(media(shaped)),mass(Area),loc2D(1,1)],LPoints,Whole2),assumeAdded(VM,Whole2))).
@@ -4380,6 +4416,11 @@
 find_one_individual(Option,Obj,VM):- find_one_ifti3(Option,Obj,VM),!.
 %find_one_individual(Option,Obj,VM):- find_one_ifti2(Option,Obj,VM),!.
 
+include_only_between(HS,HE,VS,VE,IndvPoints0,IndvPoints):-
+   include(w_in_box(HS,HE,VS,VE),IndvPoints0,IndvPoints).
+
+w_in_box(HS,HE,VS,VE,CPoint):- hv_c_value(CPoint,_,H,V),between(HS,HE,H),between(VS,VE,V),!.
+  
 
 find_one_ifti3(Option,Obj,VM):- 
     Points = VM.lo_points,
@@ -4394,7 +4435,10 @@
     FirstTwo=PointsFrom,
     Rest1 = ScanPoints,
     points_allowed(VM,Option,PointsFrom),
-    all_individuals_near(_SkipVM,Dir,Option,C1,PointsFrom,ScanPoints,NextScanPoints,IndvPoints),!,
+    all_individuals_near(_SkipVM,Dir,Option,C1,PointsFrom,ScanPoints,NextScanPoints,IndvPoints0),!,
+
+    include_only_between(1,VM.h,1,VM.v,IndvPoints0,IndvPoints),
+
     length(IndvPoints,Len),Len>=2,!,
     make_indiv_object(VM,[iz(ShapeType),iz(media(shaped)),birth((ShapeType))],IndvPoints,Obj),
     meets_indiv_criteria(VM,Option,IndvPoints),
@@ -4986,7 +5030,7 @@
 %
 
 individuation_macros(i_pbox,[pbox_vm_special_sizes]).
-individuation_macros(i_mono_colormass,[fg_shapes(colormass)]).
+individuation_macros(i_mono_colormass,[fg_shapes(colormass),generic_nsew_colormass,do_ending]).
 %individuator(i_colormass,[subshape_both(v,colormass), maybe_lo_dots]).
 individuation_macros(i_mono_nsew,[fg_shapes(nsew)]).
 
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_individuation_pbox.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_individuation_pbox.pl
index fecec7d5a4..c9da2a6e15 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_individuation_pbox.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_individuation_pbox.pl
@@ -270,7 +270,7 @@
 i_pbox(GridIn,Objs):- 
   ROptions=i_pbox,
   PairName=i_pbox,
-  locally(nb_setval(use_individuated_cache,false),
+  with_individuated_cache(false,
   ((do_ig(ROptions,GridIn,IndvS),
   into_grid(GridIn,Grid),
   locally(nb_setval(debug_indiv,t),
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_interpreter.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_interpreter.pl
index b8de28e5df..a0f534cf29 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_interpreter.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_interpreter.pl
@@ -85,6 +85,9 @@
 unplus_split(II^OO,^,II,OO).
 unplus_split(II+OO,+,II,OO).
 
+show_grid_call(P2,IO,IIIOOO):- is_plus_split(IO,How,I,O),!,unplus_split(IIIOOO,How,III,OOO),
+  copy_term(P2,P22), show_grid_call(P2,I,III), show_grid_call(P22,O,OOO).
+/*
 show_grid_call(P2,IO,IIIOOO):- is_plus_split(IO,How,I,O),!,unplus_split(IIIOOO,How,III,OOO),
  must_det_ll((grid_to_gid(I,GIDI),grid_to_gid(O,GIDO),
   copy_term(P2,P22),
@@ -94,7 +97,7 @@
        ((O=OOO,tersify(P22,S2),Aligned=false))))),  
   if_t(((III+OOO)\=@=(I+O)), 
      print_side_by_side(green,III,called(S1,left,from(GIDI)),_,OOO,aligned(Aligned,S2,right,from(GIDO)))))),!.
-
+*/
 show_grid_call(P2,I,III):-
   grid_call_for_info(P2,I,III,S1),
    if_t(((III)\=@=(I)), print_side_by_side(green,I,before(S1),_,III,after(S1))),!.
@@ -205,17 +208,23 @@
 set_vm_grid_now(VM,Grp):- 
   data_type(Grp,Type),
   gset(VM.type) = data_type(Type),
-  pp(yellow,set_vm_grid_now(Type)),pp(cyan,Type),fail.
+  pp(yellow,set_vm_grid_now(Type)),pp(cyan,Type),
+  fail.
+
 set_vm_grid_now(VM,In):- VM==In,!.
-set_vm_grid_now(VM,In):- is_vm_map(In),!,map_to_grid(_Was,In,Obj,_Grid,_Closure), Obj\=@=In, !, set_vm_grid(VM,Obj).
+set_vm_grid_now(VM,In):- is_vm_map(In),!,
+  map_to_grid(_Was,In,Obj,_Grid,_Closure), Obj\=@=In, !, set_vm_grid(VM,Obj).
 
 
 set_vm_grid_now(VM,Grid):- is_grid(Grid), !,
+ must_det_ll((
+  grid_size(Grid,H,V), 
+  gset(VM.h)=H, gset(VM.v)=V, 
   gset(VM.grid)=Grid, 
-  grid_size(Grid,H,V), gset(VM.h)=H, gset(VM.v)=V, 
-%  gset(VM.start_points) = VM.lo_points,
+  gset(VM.start_grid)=Grid, 
   localpoints_include_bg(Grid, Points),
-  gset(VM.lo_points)=Points.
+  gset(VM.lo_points)=Points,
+  gset(VM.start_points)=Points)).
 
 set_vm_grid_now(VM,Points):- is_cpoints_list(Points), !,  
 %  gset(VM.start_points) = VM.lo_points,
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_learning.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_learning.pl
index 556c66c360..1d9ed8407b 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_learning.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_learning.pl
@@ -759,7 +759,8 @@
 
      
 learn_group_mapping(AG00,BG00):-
-  warn_skip(learn_group_mapping_now(AG00,BG00)).
+  %warn_skip
+  (learn_group_mapping_now(AG00,BG00)).
 
 learn_group_mapping_now(AG00,BG00):-
   %ignore(learn_group_mapping1(AG00,BG00)),
@@ -1199,8 +1200,20 @@
   assert_showed_mapping(AL,BL),!,
   skip_rule(IO_DIR,"All background objects "+ TITLE,AL,BL).
 
-save_rule2(IO_DIR,TITLE,IP,OP):- 
- arcST,
+
+%save_rule2(IO_DIR,TITLE,[IP],[OP]):- !, save_rule22(IO_DIR,TITLE,IP,OP).
+save_rule2(IO_DIR,TITLE,IP,OP):-
+  save_rule22(IO_DIR,TITLE,IP,OP).
+
+save_rule22(IO_DIR,TITLE,IP,OP):-
+ must_det_ll((
+   into_lhs_obj(IP,HS1),
+   into_lhs_obj(OP,HS2),
+   save_rule3(IO_DIR,TITLE,HS1,HS2))).
+
+
+save_rule3(IO_DIR,TITLE,IP,OP):- 
+ %arcST,
  ip_op_debug_info(IP,OP,LOCK),
  if_t(once(true;is_fg_object(IP);is_fg_object(OP)),
  (must_det_ll((
@@ -1215,6 +1228,15 @@
  ((print_rule_grids(IO_DIR,TITLE,IP,OP,LOCK),
    save_learnt_rule(arc_cache:object_to_object(TITLE,lhs(III),rhs(OOO),NewSharedS,LOCK),oneTwo,twoOne)))))))).
 
+into_lhs_obj(Obj,Obj):-!.
+into_lhs_obj(Obj,obj(PropList)):-
+ must_det_ll((
+ PropList = [iz(cenGX(_)),iz(cenGY(_)),iz(sizeGX(_)),iz(sizeGY(_)),iz(sid(_)),pen(_),rot2D(_),oid(_),mass(_)],
+ maplist(must_indv_prop(Obj),PropList))).
+
+must_indv_prop(obj(Obj),Prop):- member(Prop,Obj),!.
+must_indv_prop(Obj,Prop):- must_det_ll(indv_props(Obj,Prop)).
+
 skip_rule(IO_DIR,TITLE,IP,OP):- 
  ip_op_debug_info(IP,OP,LOCK),
  once((nb_current(rule_note,RN);RN=rule_note)),
@@ -2066,9 +2088,10 @@
 
 
 use_test_associatable_group(I,O):-
-  warn_skip(((use_test_associatable_group_now(I,O)))),!.
+  %warn_skipg
+  (((use_test_associatable_group_now(I,O)))),!.
 
-use_test_associatable_group(I,O):-
+use_test_associatable_group_now(I,O):-
   use_test_associatable_group_real(I,O),
   nop(print_side_by_side(real_associatable_group,I,O)).
 
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_object.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_object.pl
index 9b413a7326..a9bf0a3c63 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_object.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_object.pl
@@ -65,6 +65,7 @@
 
 gpoints_to_iv_info(GPoints,ShapePoints,LocX,LocY,PenColors,RotG,Iv,Overrides,LPoints,Grid,OX,OY,SizeX,SizeY,CentX,CentY):-
   %points_range(GPoints,LocX,LocY,HiH,HiV,_HO,_VO), once(member(vis2D(SizeX,SizeY),Overrides);(SizeX is HiH-LocX+1,SizeY is HiV-LocY+1)),
+  must_det_ll((
   po_loc2D_vis2D(GPoints,Overrides,LocX,LocY,SizeX,SizeY),  
   deoffset_points(LocX,LocY,GPoints,LPoints),
   make_grid(SizeX,SizeY,Grid),
@@ -72,11 +73,12 @@
   %writeg([plPoints=PLPoints,grid=Grid]),
   add_global_points(PLPoints,Grid,Grid),
   %writeg([nowgrid=Grid]),
-
+  ShapePoints=[_|_],
   grid_to_shape(Grid,RotG,OX,OY,ShapePoints,PenColors),
+  
   %writeg([then=Grid]),
   lpoints_to_iv_info(ShapePoints,LocX,LocY,PenColors,RotG,Iv),
-  gpoints_to_center(GPoints,LocX,LocY,SizeX,SizeY,CentX,CentY).
+  gpoints_to_center(GPoints,LocX,LocY,SizeX,SizeY,CentX,CentY))).
 
 lpoints_to_iv_info(ShapePoints,LocX,LocY,PenColors,RotG,Iv):- 
   L=[ shape_rep(grav,ShapePoints),  loc2D(LocX,LocY),  pen(PenColors),  rot2D(RotG)],
@@ -99,13 +101,19 @@
 add_prop_with_count(O,N,V):- my_assertion(is_list(V)),add_prop(O,N,V),
   length(V,Len),atom_concat(N,'_count',NN),add_prop(O,NN,Len).
 
+real_colors(GPoints,Cs):- 
+ findall(C,(sub_term(C,GPoints),is_real_color(C),is_fg_color(C)),L),list_to_set(L,S),!,Cs=S.
+
 
 :- style_check(+singleton).
-make_indiv_object_s(GID0,GridH,GridV,Overrides0,GPoints0,ObjO):- 
+make_indiv_object_s(GID0,GridH,GridV,Overrides0,GPoints00,ObjO):- 
+ fix_point_colors(GPoints00,GPoints0),
  testid_name_num_io(GID0,TestID,Example,Num,IO),
  testid_name_num_io_gid(TestID,Example,Num,IO,GIDR),
  GID0=GID,
- physical_points(GPoints0,GPoints),
+ physical_points(GPoints0,GPointsM),
+ nop((Wfg = fg)),
+ ((nonvar(Wfg),real_colors(GPointsM,[FG1]))->subst(GPointsM,FG1,Wfg,GPoints);GPointsM=GPoints),
  my_assertion(is_list([overrides|Overrides0])),
  my_assertion(is_cpoints_list(GPoints)),
   %luser_getval(test_pairname,ID),
@@ -115,7 +123,9 @@
   physical_points(LPoints0,LPoints),
 
   %writeg([gpoints0=GPoints0,lpoints=LPoints,shapePoints(RotG,OX,OY)=ShapePoints]),
-  if_t(ShapePoints==[],ibreak),
+  if_t(ShapePoints==[],
+    (pp([make_indiv_object_s(GID0,GridH,GridV,Overrides0,GPoints0,ObjO),lPoints=LPoints]),
+    ibreak)),
   make_localpoints(ShapePoints,RotG,OX,OY,PenColors,_CheckLPoints),
   %sort_safe(LPoints0,LPoints0S),
   %CheckLPoints=LPoints0S,
@@ -179,6 +189,9 @@
   flatten([ShapeNamesUF],ShapeNamesU),list_to_set(ShapeNamesU,ShapeNames),
   my_maplist(append_term(iz),ShapeNames,OShapeNames),
 
+  my_assertion(LocX= FinalLocalPoints=LPoints;
     must_det_ll((tips_to_rot(LPoints,GridH,GridV,RotOut,Final),localpoints(Final,FinalLocalPoints)))),
@@ -212,11 +225,11 @@
   
   %grav_rot(Grid,NormOps,NormGrid),
   my_maplist(ignore,[GIDOMem==GID,IvOMem=Iv,GlyphOMem=Glyph,OIDOMem=OID]),
-  
+  (PenColors == [cc(Wfg,1)] -> PenColorsR = [cc(FG1,1)] ; PenColorsR = PenColors),
   flatten(
   [ PropL,
     shape_rep(grav,ShapePoints),    
-    pen(PenColors),
+    pen(PenColorsR),
     rot2D(RotG),
     rotSize2D(grav,OX,OY),
 
@@ -231,8 +244,7 @@
     iz(sizeGY(SizeYG)),iz(sizeGX(SizeXG)),
 
     global2G(GlobalXG,GlobalYG),
-  % RE=ADD=PHASE2  iz(algo_sid(norm,NormShapeID)),
-    %iz(mono_algo_sid(norm,MonoNormShapeID)),    
+  % RE=ADD=PHASE2 iz(mono_algo_sid(norm,MonoNormShapeID)),    
     iz(sid(ShapeID)),
     %ngrid(NGrid),
 
@@ -252,19 +264,17 @@
   % RE=ADD=PHASE2 
     [grid_rep(norm,NormGrid),grid_ops(norm,NormOps),iz(algo_sid(norm,NormSID))],
     [grid_rep(comp,CompGrid),grid_ops(comp,CompOps),iz(algo_sid(comp,CompSID))],
-    % [iz(locY(LocY)),iz(locX(LocX))], % iz(tall(SizeY)),iz(wide(SizeX)),
+    %[iz(locY(LocY)),iz(locX(LocX))], % iz(tall(SizeY)),iz(wide(SizeX)),
     
     %obj_to_oid(ID,Iv),
     
     kept(giz(g(IO))), kept(giz(testid(TestID))), kept(giz(example_num(Example+Num))),
-    kept(giz(testid_example_io(TestID>(Example+Num)*IO))),
-    
-    
+    kept(giz(testid_example_io(TestID>(Example+Num)*IO))),       
     %unkept(giz(gid_omem(GIDOMem))), unkept(giz(oid_omem(OIDOMem))), unkept(iv_omem(IvOMem)),giz(glyph_omem(GlyphOMem)),
     kept(oid(OID)),kept(giz(iv(Iv))),kept(giz(glyph(Glyph))),kept(giz(gid(GIDR))),kept(giz(gido(GID))),
     
 
-    globalpoints(GPoints),
+    globalpoints(GPointsM),
     giz(grid_sz(GridH,GridV)),
     []],Ps00),  
    redress_override(Ps00,Ps0),
@@ -274,9 +284,22 @@
 
   with_objprops(override,NewOverrides,Ps,OUT1),
   sort_obj_props(OUT1,OUT),!,as_obj(OUT,Obj),verify_object(Obj),!,
- must_det_ll((ObjO = Obj)))).
-
-
+  remove_gridoid_props(Obj,ObjM),
+ must_det_ll((ObjM = ObjO)))).
+
+remove_gridoid_props(O,O):- !.
+remove_gridoid_props(O,O):- \+ compound(O),!.
+remove_gridoid_props(obj(List),obj(ListO)):- !, remove_gridoid_props(List,ListO).
+remove_gridoid_props(O,O):- is_grid(O),!.
+remove_gridoid_props(globalpoints(O),globalpoints(O)):-!.
+remove_gridoid_props(localpoints(O),localpoints(O)):-!.
+remove_gridoid_props([O|Obj],ObjM):- is_list(O),!,maplist(remove_gridoid_props,[O|Obj],ObjM).
+remove_gridoid_props([O|Obj],ObjM):- is_object(O),!,maplist(remove_gridoid_props,[O|Obj],ObjM).
+remove_gridoid_props([O|Obj],ObjM):- is_prop1(O),arg(_,O,E),is_grid_or_points(E),!,remove_gridoid_props(Obj,ObjM).
+remove_gridoid_props([O|Obj],[O|ObjM]):- is_prop1(O),!,remove_gridoid_props(Obj,ObjM).
+
+is_grid_or_points(E):- is_grid(E),!.
+is_grid_or_points(E):- is_points_list(E),!.
 
 :- use_module(library(clpfd)).
 
@@ -344,7 +367,7 @@
 enum_object(O):- var(O),!,no_repeats_cmp(=@=,O,enum_object0(O)).
 enum_object(O):- nop(ppt(enum_object(O))),!.
 
-enum_object0(Obj):- oid_glyph_object(_,_,Obj).
+%enum_object0(Obj):- oid_glyph_object(_,_,Obj).
 
 enum_object0(Obj):- % listing(obj_cache/2),
       get_current_test(TestID), obj_cache(TestID,O,_S),as_obj(O,Obj).
@@ -456,8 +479,10 @@
  %show_indiv_textinfo(NewObj),!.
 
 make_indiv_object_real(VM,Overrides,GOPoints,NewObj):-
+ 
  fix_global_offset(GOPoints,OPoints),
  must_det_ll((
+  GOPoints\==[],
   globalpoints_maybe_bg(OPoints,GPoints),
   sort_points(GPoints,Points),
   Objs = VM.objs,
@@ -483,8 +508,8 @@
        print_grid(remove_prev(OOID),Orig))),
     set(VM.objs)= [NewObj|ROBJS])))).
 
-grav_roll([[Y]],sameR,[[Y]]):-!.
 grav_roll(Shape,SameR,Shape):- SameR == sameR,!.
+%grav_roll([[Y]],sameR,[[Y]]):- nonvar(Y),!.
 grav_roll(LPoints,RotG,Shape):- 
   must_det_ll((grav_rot(LPoints,RotG,Shape),
   undo_effect(RotG,Shape,LPoints0),LPoints0=LPoints)).
@@ -492,6 +517,13 @@
 protect_black(Grid,PGrid,UndoProtect):-
   Grid=PGrid, UndoProtect = (=).
 
+fix_point_colors(RShapeA,RShapeAR):-
+  maplist(arg(1),RShapeA,Cs),list_to_set(Cs,CCS),
+  (CCS==[bg]->subst(RShapeA,bg,black,RShapeAR);RShapeA=RShapeAR),!.
+fix_point_colors(RShapeA,RShapeA):-!.
+
+grid_to_shape([[Dot]],sameR,1,1,[point_01_01],[cc(Dot,1)]):-!.
+  
 grid_to_shape(Grid,RotG,OX,OY,ShapePoints,PenColors):-
 %  writeg([grid=Grid]),
  must_det_ll((
@@ -499,13 +531,15 @@
   grav_roll(PGrid,RotG,PRotShape),
 %  writeg([pGrid2=PGrid,pRotShape=PRotShape]),
   call(UndoProtect,PRotShape,RotShape),
-  globalpoints_include_bg(RotShape,RShapeA), 
-  physical_points(RShapeA,RShape),
-  include(ground,RShape,LShape),
- % writeg([rotShape=RotShape,rShapeA=RShapeA,lShape=LShape]),
+  globalpoints_include_bg(RotShape,RShapeA),
+  fix_point_colors(RShapeA,RShapeAR),
+  physical_points(RShapeAR,RShape),
+  include(ground,RShape,LShape),  
   grid_size(RotShape,OX,OY),
   % colors_cc 
-  my_maplist(arg(2),LShape,ShapePoints), my_maplist(arg(1),LShape,Colorz),
+  writeg([rotShape=RotShape,lShape=LShape]),
+  my_maplist(arg(2),LShape,ShapePoints), 
+  my_maplist(arg(1),LShape,Colorz),
   cclumped(Colorz,PenColors0),!,
   simplify_pen(PenColors0,PenColors))).
 
@@ -810,12 +844,21 @@
 physical_points(GPoints,Points):- 
    my_partition(sub_var('$VAR'('_')),GPoints,BGPoints,OPoints),
    BGPoints\==[],OPoints\==[],!,physical_points(OPoints,Points).
-physical_points(GPoints,Points):- 
-   my_partition(sub_var(bg),GPoints,BGPoints,OPoints),
+
+physical_points(GPoints,Points):- numbervars(GPoints,0,_,[singletons(true),attvars(skip)]),
+   \+ (sub_compound('$VAR'(S),GPoints),S\=='_'),
+   my_partition(sub_var('$VAR'('_')),GPoints,BGPoints,OPoints),
    BGPoints\==[],OPoints\==[],!,physical_points(OPoints,Points).
+
+physical_points(GPoints,OPoints):- 
+   my_partition(sub_var(bg),GPoints,BGPoints,OPoints),
+   BGPoints\==[],OPoints\==[],!.
+
+/*
 physical_points(GPoints,Points):- 
    my_partition(sub_var(fg),GPoints,FGPoints,_),
    FGPoints\==[],!, Points = FGPoints.
+*/
 physical_points(GPoints,Points):-
    my_partition(sub_var(black),GPoints,BGPoints,OPoints),
    BGPoints\==[],OPoints\==[],!,physical_points(OPoints,Points).
@@ -876,8 +919,8 @@
 is_oid(OID):- oid_glyph_object(OID,_,_).
 is_oid(OID):- gid_type_oid(_,_,OID), \+ oid_glyph_object(OID,_,_).
 
-obj_to_decl_oid(Obj,OID):- compound(Obj),Obj = obj(L),
-((member(obj_to_oid(OID),L);member(was_oid(OID),L);member(oid(OID),L);member(omem_oid(OID),L);member(omem_oid(OID),L)),atom(OID)),!.
+obj_to_decl_oid(L,OID):-
+((sub_compound(obj_to_oid(OID),L);sub_compound(was_oid(OID),L);sub_compound(oid(OID),L);sub_compound(omem_oid(OID),L)),atom(OID)),!.
 /*
 obj_to_oid(I,X):- var_check(I,obj_to_oid(I,X))*->!;
  (indv_props(I,L),((member(obj_to_oid(X),L);member(oid(X),L)),!,
@@ -975,7 +1018,7 @@
 
 
 %obj_to_oid(Obj,_,MyID):- obj_to_oid(Obj,MyID).
-tid_to_gid(TID,GID):- is_grid(TID),!,grid_to_gid(TID,GID).
+id_to_gid(TID,GID):- is_grid(TID),!,grid_to_gid(TID,GID).
 tid_to_gid(TID,GID):- var(TID),!,current_gid(GID).
 tid_to_gid(TID,GID):- tid_to_gids(TID,GID),!.
 
@@ -1248,6 +1291,14 @@
 %never_newd(C):- compound(C),C =(_-_), dumpST,throw(never_newd(C)).
 never_newd(_).
 
+all_points_between_include_bg(_Grid,_LowH,_LowV,_GridH,GridV,_Hi,Vi,Points,Points):- Vi>GridV,!.
+all_points_between_include_bg(Grid,LowH,LowV,GridH,GridV,Hi,Vi,PointsIn,PointsO):-
+  (Hi>GridH -> (H = LowH, V is Vi+1) ; (H is Hi +1, V = Vi )),
+   all_points_between(Grid,LowH,LowV,GridH,GridV,H,V,PointsIn,Points),
+  (((once(hv_c_value(Grid,C,Hi,Vi)), hv_point(Hi,Vi,Point))) -> 
+   (PointsO = [C-Point|Points],never_newd(C)) ; PointsO = Points).
+
+/*
 % Is there an advantage to counting down?
 all_points_between_include_bg(_Grid,_LowH,_LowV,_GridH,GridV,_Hi,Vi,Points,Points):- Vi>GridV,!.
 all_points_between_include_bg(Grid,LowH,LowV,GridH,GridV,Hi,Vi,Points,PointsO):-
@@ -1257,6 +1308,7 @@
 
    (Hi>GridH -> (H = LowH, V is Vi+1) ; (H is Hi +1, V = Vi )),!,
    all_points_between_include_bg(Grid,LowH,LowV,GridH,GridV,H,V,PointsT,PointsO).
+*/
 
 color_spec_or_fail_include_bg(Grid,C,Hi,Vi):-
   hv_c_value(Grid,C2,Hi,Vi),
@@ -1273,9 +1325,11 @@
 
 grid_to_points(Grid,Points):- grid_size(Grid,HH,HV),!, grid_to_points(Grid,HH,HV,Points).
 % Is there an advantage to counting down?
-grid_to_points(Grid,HH,HV,Points):- all_points_between(Grid,1,1,HH,HV,1,1,[],Points),!. 
+grid_to_points(Grid,HH,HV,Points):- 
+  all_points_between(Grid,1,1,HH,HV,1,1,[],Points),!. 
 % Is there an advantage to counting down?
-grid_to_points_include_bg(Grid,Points):- grid_size(Grid,HH,HV),!,all_points_between_include_bg(Grid,1,1,HH,HV,1,1,[],Points),!. 
+grid_to_points_include_bg(Grid,Points):- grid_size(Grid,HH,HV),!,
+  all_points_between_include_bg(Grid,1,1,HH,HV,1,1,[],Points),!. 
 /*
 grid_to_points(Grid,HH,HV,Points):-  trace_or_throw(all_points_between),
   findall(C-Point,(between(1,HV,V),between(1,HH,H),
@@ -1344,7 +1398,8 @@
 must_det_11(G):- must_det_ll(call(call,(G))).
 
 localpoints_include_bg(I,X):- must_be_free(X),  \+ is_grid(I), !, must_det_11((localpoints(I,X),is_cpoints_list(X))),!.
-localpoints_include_bg(Grid,Points):- is_grid(Grid),!, must_det_11((grid_to_points_include_bg(Grid,Points),is_cpoints_list(Points))),!.
+localpoints_include_bg(Grid,Points):- is_grid(Grid),!, 
+  must_det_11((grid_to_points_include_bg(Grid,Points),is_cpoints_list(Points))),!.
 
 
 object_grid(I,G):- is_grid(I),!,G=I.
@@ -1361,27 +1416,45 @@
    is_cpoints_list(XX))),!.
 */
 
-object_localpoints(I,X):- indv_props_list(I,L), object_l(localpoints(X),L),!.
+object_localpoints(I,X):- indv_props_list(I,L), must_det_ll(object_l(localpoints(X),L)),!.
+
+
+object_l(P,L):- compound(P),functor(P,F,A),functor(PP,F,A), member(PP,L),!,P=PP.
+object_l(globalpoints(O),L):- object_l(loc2D(OH,OV),L),object_l(localpoints(LPoints),L),!, offset_points(OH,OV,LPoints,O).
+object_l(loc2D(OH,OV),L):-  
+  member(iz(cenGX(CX)),L),member(iz(cenGY(CY)),L),member(iz(sizeGX(SX)),L),member(iz(sizeGY(SY)),L),
+  OH is floor(CX-(SX/2)), OV is floor(CY-(SY/2)).
 
 
-object_l(P,L):- functor(P,F,A),functor(PP,F,A), member(PP,L),!,P=PP.
-object_l(globalpoints(O),L):- !,object_l(loc2D(OH,OV),L),object_l(localpoints(LPoints),L),!, offset_points(OH,OV,LPoints,O).
 object_l(localpoints(O),L):- member(globalpoints(XX),L),is_list(XX),object_l(loc2D(OH,OV),L),!,deoffset_points(OH,OV,XX,O).
-object_l(localpoints(O),L):- object_l(grid(In),L),!,release_some_c(In,Out),localpoints(Out,O).
-object_l(grid(G),L):- member(grid(grav,SCGrid),L), object_l(rot2D(RotG),L), grid_call(RotG,SCGrid,G).
-object_l(grid(O),L):- member(f_grid(In),L),!,include(p1_arg(1,is_real_color),In,O).
-object_l(grid(O),L):- member(grid_rep(Norm,NormGrid),L),member(grid_ops(Norm,Ops),L),
-     unreduce_grid(NormGrid,Ops,LocalGrid),grid_to_points(LocalGrid,O).
+object_l(localpoints(O),L):- member(iz(sid(ShapeID)),L),!,
+  must_det_ll((id_shape(ShapeID,ShapePoints),
+       object_l(rot2D(RotG),L), object_l(pen(PenColors),L),%object_l(rotSize2D(OX,OY),L),
+       OX=1,OY=1, make_localpoints(ShapePoints,RotG,OX,OY,PenColors,O))),!.
+object_l(localpoints(O),L):- must_det_ll((object_l(grid(In),L),!,release_some_c(In,Out),localpoints(Out,O))).
+
+%object_l(localpoints(O),L):- object_l(points_rep(grav,O),L),!.
+%grid_to_points(LocalGrid,O))
+object_l(grid(O),L):-
+ once((
+    (member(f_grid(In),L),include(p1_arg(1,is_real_color),In,O))
+    ;(member(grid_rep(Norm,NormGrid),L),member(grid_ops(Norm,Ops),L), unreduce_grid(NormGrid,Ops,O))
+    ;(object_l(localpoints(LPoints),L), points_to_grid(LPoints,O))
+    ;(object_l(grid(grav,SCGrid),L), object_l(rot2D(RotG),L), grid_call(RotG,SCGrid,O)))),!.
+
 object_l(f_grid(O),L):- object_l(grid(In),L),fpad_grid(f,var,In,O).
 
-object_l(shape_rep(grav,Shape),L):- member(iz(sid(ShapeID)),L),id_shape(ShapeID,Shape).
+object_l(shape_rep(grav,Shape),L):- shape_rep(obj(L),grav,Shape).
+%member(iz(sid(ShapeID)),L),id_shape(ShapeID,Shape).
 
 object_l(grid_rep(Grav,Grid),L):- (grav_algo(Grav);algo_list(Grav)),  member(points_rep(Grav,Points),L), 
    member(rotSize2D(Grav,OX,OY),L), points_to_grid(OX,OY,Points,Grid).
 
-object_l(points_rep(Grav,ColoredShape),L):- grav_algo(Grav), member(shape_rep(Grav,ShapePoints),L),object_l(pen(PenColors),L),
+object_l(points_rep(Grav,ColoredShape),L):- grav_algo(Grav), 
+  member(shape_rep(Grav,ShapePoints),L),object_l(pen(PenColors),L),
   colorize_points(ShapePoints,PenColors,ColoredShape).
 
+
 object_l(Prop,L):- Prop = iz(algo_sid(Algo,NormShapeID)),algo_list(Algo), \+ member(Prop,L), 
  object_l(grid_rep(Algo,NormGrid),L),
  local_shape_id(NormGrid,NormShapeID),!. %shape_id(NormGrid,NormShapeID).
@@ -1393,18 +1466,6 @@
       localpoints(NormGrid,NormLPoints),my_maplist(arg(2),NormLPoints,ShapeNormLPoints),  
      shape_id(ShapeNormLPoints,NormShapeID),
      PropsOut = [grid_ops(Algo,NormOps),iz(algo_sid(Algo,NormShapeID)),grid_rep(Algo,NormGrid)].*/
-missing_obj_props(Obj,List,Prop):-
- Prop = grid_ops(Algo,NormOps),
- algo_list(Algo), \+ member(Prop,List), grid_ops(Obj,Algo,NormOps).
-missing_obj_props(Obj,List,Prop):-
- Prop = grid_rep(Algo,NormOps),
- algo_list(Algo), \+ member(Prop,List), grid_rep(Obj,Algo,NormOps).
-missing_obj_props(Obj,List,Prop):-
- Prop = iz(algo_sid(Algo,NormShapeID)),
- algo_list(Algo),
- \+ member(Prop,List), 
- grid_rep(Obj,Algo,NormGrid),local_shape_id(NormGrid,NormShapeID).
-
 
 
 algo_ops_grid(obj(List),Algo,NormOps,NormGrid):- 
@@ -2231,19 +2292,20 @@
 */
 grid_call_unbound_p1(_P1,Call,GridIn,GridOut):- grid_call(Call,GridIn,GridOut).
 
-
-rot_p_plus_trim(symmetry_after(trim_to_rect,P,_)):- rot_p_plus_full(P).
-rot_p_plus_trim(symmetry_after(trim_outside,P,_)):-  rot_p_plus_full(P).
-rot_p_plus_trim(symmetry_type(P,_)):- rot_p_plus_full(P).
+into_true_false(P0,TF):- (call(P0)->TF=true;TF=false).
+rot_p_plus_trim(symmetry_after(trim_to_rect,Type,_)):- rot_p_plus_full(Type).
+rot_p_plus_trim(symmetry_after(trim_outside,Type,_)):-  rot_p_plus_full(Type).
+rot_p_plus_trim(symmetry_type(Type,_)):- rot_p_plus_full(Type).
 
 %symmetry_after(A,B,I,O):- grid_call_alters(A,I,M), grid_call(B,M,O).
-symmetry_after(A,B,TF,I,O):- grid_call(A,I,M),!,I\=@=M, symmetry_type(B,TF,M,O).
-
-symmetry_type(Var,TF,I,O):- var(Var),!,rot_p_plus_full(Var),symmetry_type(Var,TF,I,O).
-symmetry_type(full,TF,I,O):- !, flipSym_checks(rot90,I),!,symmetry_type(sym_hv,TF,I,O).
-symmetry_type(sym_hv,TF,I,O):- !, flipSym_checks(flipH,I),!,symmetry_type(flipV,TF,I,O).
-symmetry_type(sym_h_xor_v,TF,I,O):- !, (symmetry_type(flipH,TF,I,O) -> ( \+ symmetry_type(flipV,TF,I,O) ) ;   symmetry_type(flipV,TF,I,O)).
-symmetry_type(R,TF,I,O):- grid_call(R,I,O),(I=@=O->TF=true;TF=false).
+symmetry_after(P2,Type,TF,I,M):- grid_call(P2,I,M),!,I\=@=M, symmetry_type(Type,TF,M).
+symmetry_type(R,TF,I,O):- symmetry_type(R,TF,I),!,O=I.
+
+symmetry_type(Var,TF,I):- var(Var),!,rot_p_plus_full(Var),symmetry_type(Var,TF,I).
+symmetry_type(full,TF,I):- !,flipSym_checks(rot90,I),!,symmetry_type(sym_hv,TF,I).
+symmetry_type(sym_hv,TF,I):- !, flipSym_checks(flipH,I),!,symmetry_type(flipV,TF,I).
+symmetry_type(sym_h_xor_v,TF,I):- !, symmetry_type(flipH,TF1,I), symmetry_type(flipV,TF2,I), !, into_true_false(TF1\=@=TF2,TF).
+symmetry_type(R,TF,I):- grid_call(R,I,O)->into_true_false(I=@=O,TF).
 
 rot_p_plus_full(sym_hv). rot_p_plus_full(full). rot_p_plus_full(sym_h_xor_v). 
 rot_p_plus_full(P):- rot_p2(P).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_physics.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_physics.pl
index b35a6feafb..5a8e1cbba2 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_physics.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_physics.pl
@@ -62,16 +62,37 @@
 flip_Many(Rot,X,Y):- flip_Once(Rot,X,Y),X\=@=Y.
 flip_Many(sameR,X,X).
 
+neighbor_counts(_,_,[],_,[]):-!.
+neighbor_counts(H,V,[C-P1|Ps],Points,[(N-C)-P1|Ps2]):-
+  must_det_ll((
+  neighbor_count1(C,P1,Points,N),
+  neighbor_counts(H,V,Ps,Points,Ps2))).
+
+neighbor_count1(C,_P1,_Points,N):- is_bg_color(C),!,N=0.
+neighbor_count1(C,_P1,_Points,N):- var(C),!,N=200.
+neighbor_count1(C,P1,Points,N):- 
+ findall(Dir,(n_s_e_w(Dir),once((is_adjacent_point_m2(P1,Dir,P2),member(NC-P2,Points),only_color_data(NC,CD),==(C,CD)))),DirsC),
+ findall(Dir,(is_diag(Dir),once((is_adjacent_point(P1,Dir,P2),member(NC-P2,Points),only_color_data(NC,CD),==(C,CD)))),DirsD),
+ findall(Dir,(is_adjacent_point(P1,Dir,P2),member(NC-P2,Points),only_color_data(NC,CD),dif_color(C,CD)),DirsE),
+ length(DirsE,E1),
+ length(DirsC,C1),
+ length(DirsD,D1), N is E1+C1*2+D1*2.
+
+neighbor_counts(Grid,GridO):-
+ must_det_ll((
+  globalpoints_maybe_bg(Grid,Points),
+  grid_size(Grid,H,V),
+  neighbor_counts(H,V,Points,Points,CountedPointsO),
+  points_to_grid(H,V,CountedPointsO,GridO))).
 
 %grid_mass_ints(Grid,[[1]]):- Grid=@=[[_]],!. 
-grid_mass_ints(Grid,GridIII):- 
+grid_mass_ints(Grid,GridIII):-
   unique_fg_colors(Grid,Sorted),
   %arc_test_property(Prop),
   mapgrid(normal_w(Sorted),Grid,GridIII),!.
   /*
   %Prop = unique_colors(lst(vals([[cyan,yellow,orange,green,red,blue,black],[orange,cyan,yellow,green,black,red,blue]]),len(7),diff([orange,cyan,yellow,green,black,red,blue]=@=[cyan,yellow,orange,green,red,blue,black])))
-  
-  include(is_fg_color,CC,FG),
+  dmiles  include(is_fg_color,CC,FG),
   (FG==[]->SORT=[fg,black,bg];SORT=FG),!,
   %((unique_fg_colors(Grid,FG)->FG\==[])->true;FG=[black]),
   mapgrid(normal_w(SORT),Grid,GridIII),!.
@@ -92,27 +113,70 @@
 %normal_w(ColorSort,Cell,N):- color_int(Cell,N),!.
 normal_w(_ColorSort,_,0).
 
+
+rav_rot_test([[_,_,green,_],[red,_,green,yellow],[red,blue,blue,_],[red,_,_,yellow]]).
+rav_rot_test([[black,black,green,black],[red,black,green,yellow],[red,blue,blue,black],[red,black,black,yellow]]).
+rav_rot_test([[red,red,red,red,red,red,_,_],[red,red,red,red,red,red,_,_],[_,_,blue,blue,_,_,_,_],[_,_,blue,blue,_,_,_,_],[_,_,blue,blue,green,green,green,green],[_,_,blue,blue,green,green,green,green],[yellow,yellow,_,_,yellow,yellow,_,_],[yellow,yellow,_,_,yellow,yellow,_,_]]).
+rav_rot_test([[red,red,red,red,red,red,black,black],[red,red,red,red,red,red,black,black],[black,black,blue,blue,black,black,black,black],[black,black,blue,blue,black,black,black,black],[black,black,blue,blue,green,green,green,green],[black,black,blue,blue,green,green,green,green],[yellow,yellow,black,black,yellow,yellow,black,black],[yellow,yellow,black,black,yellow,yellow,black,black]]).
+rav_rot_test([[cyan,cyan,cyan,cyan,cyan,cyan,_,_],[cyan,cyan,cyan,cyan,cyan,cyan,_,_],[_,_,cyan,cyan,_,_,_,_],[_,_,cyan,cyan,_,_,_,_],[_,_,cyan,cyan,cyan,cyan,cyan,cyan],[_,_,cyan,cyan,cyan,cyan,cyan,cyan],[cyan,cyan,_,_,cyan,cyan,_,_],[cyan,cyan,_,_,cyan,cyan,_,_]]).
+rav_rot_test([[cyan,cyan,cyan,cyan,cyan,cyan,black,black],[cyan,cyan,cyan,cyan,cyan,cyan,black,black],[black,black,cyan,cyan,black,black,black,black],[black,black,cyan,cyan,black,black,black,black],[black,black,cyan,cyan,cyan,cyan,cyan,cyan],[black,black,cyan,cyan,cyan,cyan,cyan,cyan],[cyan,cyan,black,black,cyan,cyan,black,black],[cyan,cyan,black,black,cyan,cyan,black,black]]).
+rav_rot_test([[black,black,black,black,black,black,_,_],[black,black,black,black,black,black,_,_],[_,_,black,black,_,_,_,_],[_,_,black,black,_,_,_,_],[_,_,black,black,black,black,black,black],[_,_,black,black,black,black,black,black],[black,black,_,_,black,black,_,_],[black,black,_,_,black,black,_,_]]).
+%rav_rot_test(X):- never_this(X,Y),rav_rot_test(Y),into_mono(Y,Z),X=Y.
+rav_rot_test(X):- clause(rav_rot_test(Y),true),into_monochrome2(Y,Z),X=Z.
+
+/*
+show_grav_rot(X):-
+ must_det_ll((
+  into_grid(X,Y),!,
+  into_solid_grid(Y,YY),!,
+  into_monorot(YY,YYY),!,
+  ignore(( 
+   grav_rot(YYY,R1,Y1), reduce_grid(Y1,Z,A), grav_rot(A,R2,AA), 
+    wots(S,writeq(show_grav_rot(R1,Z,R2))), print_ss(S,YY,AA),  
+     ignore((grid_call([R1,R2],Y,YR), wots(S2,writeq(show_grav_rot(R1,R2))), print_ss(S2,Y,YR))),
+  \+ \+ ignore((call(R1,YY,ZZ),call(R2,YY,TT), print_ss(R1-R2,ZZ,TT))),
+  
+  !)))).
+*/
+
+into_monorot(X,Y):- mapgrid(fg_is_fg_is_bg,X,Y), \+ avoid_mono(Y),!.
+into_monorot(X,X). 
+
+
+avoid_mono(Y):- flipSym(rot90,Y),!.
+avoid_mono(Y):- flipSym(flipH,Y),flipSym(flipV,Y),!.
+
+
+fg_is_fg_is_bg(X,bg):- \+ is_fg_color(X),!.
+fg_is_fg_is_bg(_,fg).
+  
+
 /*
 arc_test_property(Prop):-
  get_current_test(TestID),first_current_example_num(trn+N)
  arc_test_property(TestID, gh(N), comp(cbg(black), i-o, _), Prop).
 
 */
-grav_rot(Grid,sameR,Grid):- \+ \+ Grid=[[_]],!.
 grav_rot(Grid,RotG,Rotated):- %must_be_free(RotG),  
-  must_det_ll((into_grid(Grid,GridII),
+  must_det_ll((
+   into_grid(Grid,GridI),   
+   into_monorot(GridI,GridII),
    dif(RotG,rollD),
-   best_grav_rot_grid(GridII,RotG,Rotated))).
+   best_grav_rot_grid(GridII,RotG,_),
+   grid_call(RotG,GridI,Rotated))).
 
-best_grav_rot(Shape,RotG,Rotated):- must_be_free(Rotated),
+/*best_grav_rot(Shape,RotG,Rotated):- must_be_free(Rotated),
     must_det_ll((
     cast_to_grid(Shape,Grid,Uncast),
     best_grav_rot_grid(Grid,RotG,Final),
     uncast(Shape,Uncast,Final,Rotated))).
+*/
 
 best_grav_rot_grid(Grid,sameR,Grid):- \+ \+ Grid=[[_]],!.
-best_grav_rot_grid(Grid,RotG,RotatedG):- must_be_free(Rotated), 
- must_det_ll(( is_grid(Grid), 
+best_grav_rot_grid(GridI,RotG,RotatedG):- must_be_free(Rotated), 
+ must_det_ll(( is_grid(GridI), 
+    %trim_outside(GridI,Grid),
+    =(GridI,Grid),
     grid_mass_ints(Grid,GridInts),
     w(W,RotG)=Template,
     findall(Template,(flip_Many(RotG,GridInts,Rotated),rot_mass(Rotated,W)),Pos),
@@ -152,6 +216,11 @@
    N2 is N * Len, map_row_size(N2,Len,Rest,Mass),!.
 
 
+is_top_heavy(Grid):- split_50_v(Grid,Top,Bottem),!,rot_mass(Top,TopM),rot_mass(Bottem,BottemM),!,BottemM>TopM.
+is_left_heavy(Grid0):- rot270(Grid0,Grid),!,is_top_heavy(Grid).
+split_50_v(Grid,Top,Bottem):- length_safe(Grid,N),H is floor(N/2), length_safe(Top,H),length_safe(Bottem,H),
+    my_append(Top,Rest,Grid),my_append(_Mid,Bottem,Rest).
+
 grav_mass(Grid,sameR):- iz(Grid,hv_symmetric),!.
 grav_mass(Grid,RotOut):- vis2D(Grid,H,V), !, tips_to_rot(Grid,H,V,RotOut,_).
 
@@ -161,11 +230,6 @@
 %tips_to_rot(Grid,H,V,[rot180|RotOut]):- is_top_heavy(Grid), !, rot180(Grid,Grid90), !, tips_to_rot(Grid90,H,V,RotOut).
 tips_to_rot(Grid,_H,_V,RotOut,Final):- is_left_heavy(Grid)-> (RotOut=[rot180],rot180(Grid,Final)); (RotOut=[sameR],Final=Grid).
 
-is_top_heavy(Grid):- split_50_v(Grid,Top,Bottem),!,rot_mass(Top,TopM),rot_mass(Bottem,BottemM),!,BottemM>TopM.
-is_left_heavy(Grid0):- rot270(Grid0,Grid),!,is_top_heavy(Grid).
-split_50_v(Grid,Top,Bottem):- length_safe(Grid,N),H is floor(N/2), length_safe(Top,H),length_safe(Bottem,H),
-    my_append(Top,Rest,Grid),my_append(_Mid,Bottem,Rest).
-
 
 ensure_dir(s). ensure_dir(e). ensure_dir(w). ensure_dir(n).
 ensure_int(1). ensure_int(2).
@@ -553,16 +617,17 @@
 related_how(   subsumed(Offset,OverlapP),O1,O2,Ps1,Ps2,Overlap,_P1L,P2L):- Overlap\==[],P2L==[],
   length(Ps1,Len1),length(Ps2,Len2), OverlapP = rational(Len2/Len1), object_offset(O2,O1,Offset).
 
-sees_dir(s,D,O1,O2,Ps1,Ps2,Overlap,P1L,SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):- SY1 >= EY2, D is SY1-EY2.
-sees_dir(n,D,O1,O2,Ps1,Ps2,Overlap,P1L,SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):- SY2 >= EY1, D is SY2-EY1.
-sees_dir(e,D,O1,O2,Ps1,Ps2,Overlap,P1L,SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):- SX1 >= EX2, D is SX1-EX2.
-sees_dir(w,D,O1,O2,Ps1,Ps2,Overlap,P1L,SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):- SX2 >= EX1, D is SX2-EX1.
+sees_dir(n,D,O1,O2,Ps1,Ps2,Overlap,P1L,SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):- SY1 >= EY2, D is SY1-EY2.
+sees_dir(s,D,O1,O2,Ps1,Ps2,Overlap,P1L,SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):- SY2 >= EY1, D is SY2-EY1.
+sees_dir(w,D,O1,O2,Ps1,Ps2,Overlap,P1L,SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):- SX1 >= EX2, D is SX1-EX2.
+sees_dir(e,D,O1,O2,Ps1,Ps2,Overlap,P1L,SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):- SX2 >= EX1, D is SX2-EX1.
 
 related_how2(sees(DirsDists),O1,O2,Ps1,Ps2,Overlap,P1L,
   SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):-
   findall(cc(Dir,Dist),(sees_dir(Dir,Dist,O1,O2,Ps1,Ps2,Overlap,P1L,SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2),Dist<3),DirsDists), 
    DirsDists\==[].
 
+
 %related_how(How,O1,O2,Ps1,Ps2,Overlap,P1L,SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):- SX1 < SX2, SY1 < SY2, EX2 < EX1, EY2 < EY1, How = contained_by(engulfed).
 related_how2(contained_by,O1,O2,Ps1,Ps2,Overlap,P1L,
   SX1,SY1,EX1,EY1,P2L,SX2,SY2,EX2,EY2):-
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_precompiler.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_precompiler.pl
index 0c1b0fa92b..6dd44879cf 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_precompiler.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_precompiler.pl
@@ -27,9 +27,10 @@
 must_det_ll_maplist(_,[],[],[]):-!.
 must_det_ll_maplist(P3,[HA|TA],[HB|TB],[HC|TC]):- must_det_ll(call(P3,HA,HB,HC)), must_det_ll_maplist(P3,TA,TB,TC).
 
-must_det_ll(G):- !, once((notrace(G)*->true;must_det_ll_failed(G))).
+%must_det_ll(G):- !, once((notrace(G)*->true;must_det_ll_failed(G))).
+must_det_ll(G):- nb_current(cant_rrtrace,t),!,call(G).
 must_det_ll(G):- notrace(arc_html),!, ignore(notrace(G)),!.
-must_det_ll(G):- tracing,!, once((call(G)*->true;must_det_ll_failed(G))).
+must_det_ll(G):- tracing,!, call(G). % once((call(G)*->true;must_det_ll_failed(G))).
 %must_det_ll(X):- !,must_not_error(X).
 must_det_ll((X,Goal)):- is_trace_call(X),!,call((itrace,Goal)).
 must_det_ll(X):- is_trace_call(X),!,itrace.
@@ -67,8 +68,9 @@
 
 %must_not_error(G):- must(once(G)).
 
+must_not_error(_):- nb_current(cant_rrtrace,t),!,fail.
 must_not_error(G):- tracing,!,call(G).
-must_not_error(G):- is_cgi,!, catch(notrace(G),E,((u_dmsg(E=G)))).
+must_not_error(G):- is_cgi,!, catch((G),E,((u_dmsg(E=G)))).
 must_not_error(X):- \+ nb_current(cant_rrtrace,t),is_guitracer,!, call(X).
 must_not_error(X):- catch(X,E,(always_rethrow(E)-> throw(E);(/*arcST,*/writeq(E=X),pp(etrace=X),
   rrtrace(visible_rtrace([-all,+exception]),X)))).
@@ -81,6 +83,7 @@
 main_debug:- main_thread,current_prolog_flag(debug,true).
 
 %must_det_ll_failed(X):- predicate_property(X,number_of_clauses(1)),clause(X,(A,B,C,Body)), (B\==!),!,must_det_ll(A),must_det_ll((B,C,Body)).
+must_det_ll_failed(_):- nb_current(cant_rrtrace,t),!,fail.
 must_det_ll_failed(G):- tracing,notrace(u_dmsg(must_det_ll_failed(G))),!,throw(must_det_ll_failed(G)).
 must_det_ll_failed(G):- main_debug,notrace(u_dmsg(must_det_ll_failed(G))),!,trace,call(G).
 must_det_ll_failed(G):- is_cgi,!, u_dmsg(arc_html(must_det_ll_failed(G))).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_prior_groups.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_prior_groups.pl
index 4d351f6b37..24dc5535dc 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_prior_groups.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_prior_groups.pl
@@ -70,12 +70,13 @@
 interesting_compares(trn+N*out,F1,  trn+N2*out,F2):- current_example_nums(trn,N,N2),filter_pairs(F1,F2).
 interesting_compares(tst+N*in, F1,  trn+N *in,F2) :- current_example_nums(tst,N, _),filter_pairs(F1,F2).
 
-filter_pairs(shared,shared). filter_pairs(unshared,shared). filter_pairs(shared,unshared). filter_pairs(unshared,unshared).
+filter_pairs(whole,whole).
+%filter_pairs(shared,shared). filter_pairs(unshared,shared). filter_pairs(shared,unshared). filter_pairs(unshared,unshared).
 
-make_up_selector_name(Trn_num_io,Name):-  trn_num_io(Trn_num_io,Trn,Num,IO),
+make_up_selector_name(Trn_num_io,Named):-  trn_num_io(Trn_num_io,Trn,Num,IO),
   interesting_selectors(NameI,Trn1,Num1,IO1), match_selector(Trn1,Trn),match_selector(IO1,IO),match_selector(Num1,Num),
-  once(maybe_aformat(NameI,Name)).
-maybe_aformat(Fmt-Args,Name):- format(atom(Name),Fmt,Args),!. maybe_aformat(Name,Name).
+  once(maybe_aformat(NameI,Named)).
+maybe_aformat(Fmt-Args,Named):- format(atom(Named),Fmt,Args),!. maybe_aformat(Named,Named).
 
 match_selector(Trn1,Trn):- var(Trn1),var(Trn),!.
 match_selector(Trn1,Trn):- Trn1=@=Trn.
@@ -85,11 +86,11 @@
 trn_num_io((Trn+Num)*IO,Trn,Num,IO):-!.
 trn_num_io(Trn+Num*IO,Trn,Num,IO):-!.
 
-select_filtered_group(TestID,Name,Trn_num_io,Filter,Objects):- trn_num_io(Trn_num_io,Trn,Num,IO),
-  with_luser(use_individuated_cache,true,
+select_filtered_group(TestID,Named,Trn_num_io,Filter,Objects):- trn_num_io(Trn_num_io,Trn,Num,IO),
+  with_individuated_cache(true,
     forall(kaggle_arc_io(TestID,Trn+Num,IO,G),individuate(complete,G,_Objs))),
   select_some_objects(TestID,Trn,Num,IO,Filter,Objects),
-  make_up_selector_name(Trn+Num*IO,Name).
+  make_up_selector_name(Trn+Num*IO,Named).
 
 
 %select_some_objects(TestID,Trn,Num,IO,whole,Objs):- !, test_grouped_io(TestID,[(TestID>(Trn+Num)*IO)],[],Objs).
@@ -117,7 +118,7 @@
 never_share_prop(oid(_)).
 never_share_prop(was_oid(_)).
 
-next_change(Next,Objects):- sort(Objects,SObjects),sort(Next,SNext), SObjects\=@=SNext.
+next_change(Next,Objects):- list_to_set(Objects,SObjects),list_to_set(Next,SNext), SObjects\=@=SNext.
 
 reorganize_objs([O|Objects],Shared,PropsUnique,PropsDistibuted):- \+ is_list(O),
  must_det_ll((
@@ -177,24 +178,25 @@
 reorganize_objs([],[],[],[]):-!.
 
 
+show_groups(_TestID):-!.
 show_groups(TestID):- ensure_test(TestID),
   show_filtered_groups(TestID),
   show_pair_groups(TestID).
   
-
+show_filtered_groups(_TestID):-!.
 show_filtered_groups(TestID):- ensure_test(TestID),
   forall( interesting_selectors(_,Trn,Num,IO),
    forall( member(Filter,[shared,unshared]),
    must_det_ll((
-     select_filtered_group(TestID,Name,(Trn+Num*IO),Filter,Objs),
+     select_filtered_group(TestID,Named,(Trn+Num*IO),Filter,Objs),
      length(Objs,Len),
-     w_section(interesting_selectors(Name,Filter,Len), 
+     w_section(interesting_selectors(Named,Filter,Len), 
        must_det_ll((
          nop(ignore(((ground((Trn+Num*IO))->print(Objs); (Len<10 ->print(Objs); true))))),
-         print_grouped_props(Name+Filter,Objs)))))))).
+         print_grouped_props(Named+Filter,Objs)))))))).
 
 show_pair_groups(TestID):- ensure_test(TestID),
-  forall(pair_two_groups(TestID,Name1+Filter1,Name2+Filter2,Objs1,Objs2),
+  forall(no_repeats(vars(Name1+Filter1,Name2+Filter2),pair_two_groups(TestID,Name1+Filter1,Name2+Filter2,Objs1,Objs2)),
     ignore((
       Objs1\==[],Objs2\==[],
       Objs1\==Objs2,   
@@ -206,16 +208,16 @@
       %functor(Filter1,F1,_),functor(Filter2,F2,_), F1\==alone,F2\==alone, %F1==F2,  
       
       append(Objs1,Objs2,OBJS),list_to_set(OBJS,OBJSET),
-      length(OBJS,L1),length(OBJSET,L2), L1 == L2,
+      length(OBJS,WP1),length(OBJSET,WP2), WP1 == WP2,
       % pp(Name1+Filter1-Name2+Filter2 = Objs1->Objs2),
-      print_grouped_props(vs(Name1+Filter1,Name2+Filter2),OBJS)
+      show_interesting_vs(vs(Name1+Filter1,Name2+Filter2),Objs1,Objs2)
       ))).
 
 rules_from(Objs1,Objs2,Objects):- Objects=(Objs1->Objs2).
 
-show_info_about_objects(TestID,Name,Ors,Ands):-
+show_info_about_objects(TestID,Named,Ors,Ands):-
   test_grouped_io(TestID,Ors,Ands,IO),
-  w_section(Name,print_grouped_props(Name,IO)).
+  w_section(Named,print_grouped_props(Named,IO)).
 
 
 test_grouped_io(TestID,Ors,Ands,Objs):-
@@ -243,34 +245,202 @@
 
 
 :- thread_local(t_l:objs_others/4).
-show_interesting_props(Named,OutC,InC):-
- extend_grp_proplist(InC,ObjsI),
- extend_grp_proplist(OutC,ObjsO),
+show_interesting_props(Named,InC,OutC):-
+ must_det_ll((
+  extend_grp_proplist(InC,ObjsI),
+  extend_grp_proplist(OutC,ObjsO),
   banner_lines(cyan,4),
   w_section('INPUT PROPS',
     locally(t_l:objs_others(inputs,ObjsI,ObjsO,outputs),
-      print_grouped_props(input(Named),ObjsI))),
+      (print_grid(output(Named),ObjsI),
+       print_grouped_props(input(Named),ObjsI),
+       !))),
   banner_lines(white,2),
   w_section('OUTPUT PROPS',
     locally(t_l:objs_others(outputs,ObjsO,ObjsI,inputs),
-      print_grouped_props(output(Named),ObjsO))),    
+      (print_grid(output(Named),ObjsO),
+       print_grouped_props(output(Named),ObjsO),
+       !))),
+  
   banner_lines(white,2),
-  show_interesting_props_next(Named,ObjsI,ObjsO),
-  banner_lines(cyan,4).
+  %show_interesting_merge(Named,ObjsI,ObjsO),  
+  %show_template_matches(t_m(Named),ObjsI,ObjsO),
+  %nop(show_interesting_comp_diffs(Named,objs_to_which_props,templify_cc,ObjsI,ObjsO)),
+  %nop(show_interesting_comp_diffs(Named,variance_counts,first_number,ObjsI,ObjsO)),
+  %append(ObjsO,ObjsI,Objs),show_interesting_props_gojs(Objs),
+  show_changes_and_match_template(m_t(Named),ObjsI,ObjsO),
+  banner_lines(cyan,4))).
 
-show_interesting_props_next(Named,ObjsI,ObjsO):- 
+
+show_interesting_merge(Named,ObjsI,ObjsO):-
   append(ObjsO,ObjsI,ObjsAll),
-  w_section('BOTH PROPS',
+  w_section(show_interesting_merge(Named),
     locally(t_l:objs_others(both,ObjsAll,ObjsAll,both),
       print_grouped_props(both(Named),ObjsAll))),!.
 
-show_interesting_props_next(_Named,ObjsI,ObjsO):- 
-   append(ObjsO,ObjsI,Objs),
-   show_interesting_props_gojs(Objs).
-
 show_interesting_props_gojs(Objs):- u_dmsg(show_interesting_props_gojs(Objs)).
   %8731374e
 
+count_each_value(Objs,CountOfEachL):-
+  flat_props(Objs,AllProps),
+  maplist(make_unifiable_cc,AllProps,ASProps),
+  variant_list_to_set(ASProps,SUProps),
+  count_each(SUProps,AllProps,CountOfEachL),!.
+
+variance_counts(Objs,CountOfEachL):-
+  flat_props(Objs,AllProps),
+  maplist(make_unifiable_cc,AllProps,ASProps),
+  variant_list_to_set(ASProps,SUProps),
+  maplist(variance_had_count(Objs),SUProps,Variance),
+  maplist(into_kv,Variance,SUProps,CountOfEachL).
+
+into_kv(K,V,K-V).
+from_kv(K-V,K,V).
+variance_had_count(Objs,UHAD,Variance):- 
+  variance_had_counts(_Common,UHAD,Objs,_Versions,_Missing,_VersionsByCount,Variance),!.
+variance_had_count(_Objs,_UHAD,0).
+
+   
+
+show_changes_and_match_template(Named,ObjsI,ObjsO):-
+ must_det_ll((
+   maplist(variance_counts,[ObjsI,ObjsO],[VC1,VC2]),
+   intersection(VC1,VC2,_Shared,VD1,VD2),append(VD1,VD2,VCB),
+    maplist(prop_name,VD1,VN1),
+    maplist(prop_name,VD2,VN2),
+   %print_each_ss(variance_counts(Named),VD1,VD2),
+   show_changed_diffs([c([b,_,_])],Named,first_number,VD1,VD2),
+   nop(maplist(prop_name,VCB,VCN)),
+   VCN=VNN,
+   intersection(VN1,VN2,VNN,_,_),
+   pp_saved(vnn=VNN), pp_saved(vcn=VCN),
+   maplist(objs_to_which_props,[ObjsI,ObjsO],[WP1,WP2]),
+   %show_changed_diffs(Named,templify_cc,WP1,WP2),
+   append(WP1,WP2,WPB),
+   include(equals_same_p2(prop_name,VCN),WPB,WPBT),
+   pp_saved(wPBT=WPBT),
+   maplist(templify_cc,WPBT,Templ),
+   variant_list_to_set(Templ,Templates),   
+   pp_saved(templates=Templates),
+   maplist(show_matching_templates(Named,VNN,WP1,WP2),Templates,Info),
+   sum_list(Info,Shown),
+   (Shown==0 ->
+     (writeln(shown=Shown),maplist(show_matching_templates(Named,_,WP1,WP2),Templates,Info));
+     true),
+   !)).
+
+equals_same_p2(P2,VCN,I2):- call(P2,I2,O2),!, \+ \+ member(O2,VCN).
+
+show_matching_templates(Named,VCN,WP1,WP2,T,Info):-
+  must_det_ll((
+   include(p1_call(chk(=(T))),WP1,LL1),
+   include(p1_call(chk(=(T))),WP2,LL2),
+   %numbervars(T,1100,_,[]),
+   if_t(((LL1\==[],LL2\==[])),
+    must_det_ll((color_print(green,Named),write(': '),color_print(white,T),nl,
+     maplist(prop_value,LL1,N1), maplist(prop_value,LL2,N2),    
+     ignore((
+     (nonvar(VCN)->once(overlapping_element(prop_name,VCN,N1);overlapping_element(prop_name,VCN,N2));true),
+      Info = 1,
+      print_each_ss2(N1,N2)))))))),
+  ignore(Info=0).
+
+overlapping_element(P2,L1,L2):- member(E1,L1),member(E2,L2),once((call(P2,E1,F1),call(P2,E2,F2))), F1 =@= F2,!.
+
+show_interesting_comp_diffs(Named,P2,P2A,ObjsI,ObjsO):- 
+ must_det_ll((
+   call(P2,ObjsI,HAD1), call(P2,ObjsO,HAD2),
+   w_section(show_interesting_compare(P2,Named),
+     must_det_ll((
+      show_changed_diffs(t(P2,Named),P2A,HAD1,HAD2)))))).
+
+pp_non_nil_e(_,PP):- PP == [],!.
+pp_non_nil_e(Named,PP):- nl,listify(PP,LL),wqs(Named),nl,maplist(pp,LL),nl.
+
+changed_diffs(PropC1,PropC2,LS1,LS2,Same,LLS1,LLS2):-
+ must_det_ll((
+  intersection(PropC1,PropC2,Same,WP1,WP2),
+  predsort(sort_on(prop_name),WP1,LS1), predsort(sort_on(prop_name),WP2,LS2),
+  list_to_set(WP1,LLS1), list_to_set(WP2,LLS2))).
+
+show_changed_diffs(Show,Named,Pred2,PropC1,PropC2):-
+ must_det_ll((
+ changed_diffs(PropC1,PropC2,LS1,LS2,Same,LLS1,LLS2), 
+  \+ \+ if_t(member(c(Which),Show),show_changed_by_sides(Which,["Changed",Named],prop_name,LS1,LS2)),
+  \+ \+ if_t(member(s(Which),Show),pp_non_nil_e(["Same",Named],Same)),
+  \+ \+ if_t(member(d(Which),Show),show_changed_by_sides(Which,["Different",Named],Pred2,LLS1,LLS2)))).
+
+show_changed_by_sides(Show,Named,Pred2,PropS1,PropS2):-
+ must_det_ll((
+  changed_by_sides(Pred2,PropS1,PropS2,LeftOnly,RightOnly,A1O,A2O),
+  \+ \+ if_t(member(l,Show),pp_non_nil_e(["Left Only",Named],LeftOnly)),
+  \+ \+ if_t(member(r,Show),pp_non_nil_e(["Right Only",Named],RightOnly)),
+  \+ \+ if_t(member(b,Show),ignore(((((A1O\==[] ; A2O\==[])),!,nl,wqs(["Both",Named]),nl,maplist(print_each_ss2,A1O,A2O))))))).
+
+
+changed_by_sides(Pred2,PropS1,PropS2,LeftOnly,RightOnly,A1O,A2O):-
+ must_det_ll((
+  maplist(Pred2,PropS1,ArgPropS1), maplist(Pred2,PropS2,ArgPropS2),
+  append(ArgPropS1,ArgPropS2,ArgPropS),variant_list_to_set(ArgPropS,ArgPropSort),
+  maplist(grp_by(Pred2,PropS1),ArgPropSort,A1L),
+  maplist(grp_by(Pred2,PropS2),ArgPropSort,A2L),
+  maplist(into_kv,A1L,A2L,OLairs),
+  findall(K,member(K-[],OLairs),LeftOnly),
+  findall(K,member([]-K,OLairs),RightOnly),
+  findall(K-V,(member(K-V,OLairs),K\==[],V\==[]),Both),
+  maplist(from_kv,Both,A1O,A2O))).
+
+
+grp_by(P2,PPS1,AE,L):- 
+  findall(A,(member(A,PPS1),call(P2,A,AE)),L).
+
+first_number(A,AE):- nonvar(AE),first_number(A,AE1),!,AE1=AE.
+first_number(A,AE):- sub_term(AE,A),number(AE),!.
+first_number(_,inf).
+
+print_each_ss(Title,L1E,L2E):-
+  listify(L1E,WP1), listify(L2E,WP2),
+  print_each_ss2([Title,'~n'|WP1],[Title,'~n'|WP2]).
+
+%print_each_ss2([],L2E):- nl,print("Only Right "),!,variant_list_to_set(L2E,LL),maplist(pp,LL),!.
+%print_each_ss2(L1E,[]):- nl,print("Only Left "),!,variant_list_to_set(L1E,LL),maplist(pp,LL),!.
+print_each_ss2(L1E,[]):-!,print_each_ss2(["Only Left"],L1E).
+print_each_ss2([],L1E):-!,print_each_ss2(["Only Right"],L1E).
+print_each_ss2(L1E,L2E):- listify(L1E,WP1), listify(L2E,WP2),print_each_ss2_2(WP1,WP2),!.
+
+pp_saved(A=B):- is_list(B),!,maplist(pp_saved_nv(A),B),pp(A=B).
+pp_saved(A=B):- pp_saved_nv(A,B),!,pp(A=B).
+pp_saved(A,B):- pp_saved_nv(A,B),pp(B).
+
+pp_saved_nv(A,B):- must_det_ll((remember_propcounts(_Named,pp_saved,A,B))).
+
+print_each_ss2_2(WP1,WP2):-
+ must_det_ll((
+   wots(S1,maplist(pp_saved(left),WP1)),
+   wots(S2,maplist(pp_saved(right),WP2)),
+   atomic_list_concat(SS10,'\n',S1),
+   atomic_list_concat(SS20,'\n',S2),
+   max_width(SS10,SS1,100),
+   max_width(SS20,SS2,100),
+   make_longest_len(SS1,SS2,SSS1,SSS2),
+   print_to_string11(write,0,SSS1,SSS1A,Lad1),Lad is Lad1,
+   maplist(print_to_string_using_up(Lad,''),SSS1A,SSS1B), 
+   print_side_by_side0(SSS1B,_,SSS2))).
+
+max_width([E|SS20],[E|SS2],Hundred):- atom_length(E,Len),Len=0, write(S),wp_n_sp(Used),!.
+wp_s_up(S,_):- write(S),!. wp_n_sp(N):- N>0,!,write(' '),Nm1 is N -1,wp_n_sp(Nm1).  wp_n_sp(_).
+
+
+
+
 print_treeified_props(Objs):-
   print_treeified_props(treeified_props,Objs),!.
 print_treeified_props(Named,Objs):-
@@ -278,11 +448,17 @@
   my_maplist(treed_plist,Objs,PropLists),
   color_print(cyan,call(print_ptree(Named,PropLists))))).
 
-treed_plist(Obj,PropList):-
-  must_det_ll((indv_props_list(Obj,RawPropList),  
-  treed_props_list(RawPropList,PropList0),!,
-  ((fail,make_ss(PropList0,SS))->
-     append(PropList0,[(SS)],PropList);  append(PropList0,[],PropList)))).
+make_longest_len(WP1,WP2,L11,L22):-
+ length(WP1,LL1),length(WP2,LL2),
+ (LL1>LL2 -> (L11=WP1,ensure_length(WP2,LL1,'',L22));
+   (L22=WP2,ensure_length(WP1,LL2,'',L11))).
+
+ensure_length(WP1,Len,With,New):- length(WP1,Len0),
+  Extend is Len-Len0,Extend>0,!,
+  make_list(With,Extend,More),
+  append(WP1,More,New).
+ensure_length(WP1,_Len,_With,WP1).
+
 
 make_ss(RawPropList,SS):- 
   member(oid(OID),RawPropList),member(grid(Grid),RawPropList),wots(SS,print_grid(OID,Grid)),!.
@@ -290,6 +466,13 @@
   member(oid(OID),RawPropList),oid_to_obj(OID,PObj),wots(SS,print_grid(OID,[PObj])),!.
 %make_ss(RawPropList,SS):- wots(SS,print(SS)).
 
+
+treed_plist(Obj,PropList):-
+  must_det_ll((indv_props_list(Obj,RawPropList),  
+  treed_props_list(RawPropList,PropList0),!,
+  ((fail,make_ss(PropList0,SS))->
+     append(PropList0,[(SS)],PropList);  append(PropList0,[],PropList)))).
+
 treed_props_list(RawPropLists,PropLists):- is_list_of_lists(RawPropLists),!,maplist(treed_props_list,RawPropLists,PropLists).
 treed_props_list(RawPropLists,PropLists):-
  must_det_ll((
@@ -307,6 +490,7 @@
   treeify_props(Named,RRR,Tree),
   remember_tree(Named,Tree),
   tersify_gridoids(Tree,TTree),
+
   with_pre(print_tree_no_nl(Named=TTree)))).
 
 tersify_gridoids(Tree,TTree):- map_pred1(replace_gridoids,Tree,TTree).
@@ -342,44 +526,54 @@
 is_prop(Prop):- is_prop1(Prop),!.
 is_prop(Prop):- writeln(user_error,not(is_prop(Prop))),itrace,!,fail.
 
+% =====================================================================
+is_fti_step(extend_obj_proplists).
+% =====================================================================
+extend_obj_proplists(VM):- extend_grp_proplist(VM.objs,set(VM.objs)).
+
 extend_grp_proplist(Grp,GrpO):- Grp==[],!,GrpO=[].
 extend_grp_proplist(Grp,GrpO):- user:extend_grp_proplist0(Grp,GrpO),!.
 
-extend_grp_proplist0(Grp,GrpO):- \+ ((sub_term(E,Grp),compound(E),E=oid(_))),!,Grp=GrpO.
+%extend_grp_member_proplist(Var,NewObj):- var(Var),!, enum_object(Var),extend_grp_proplist(Var,NewObj).
+dont_extend_proplist(Grp):- \+ compound(Grp),!.
+dont_extend_proplist(Grp):- \+ ((sub_term(E,Grp),compound(E),E=oid(_))),!.
+dont_extend_proplist(Grp):- \+ \+ ((sub_term(E,Grp),compound(E),E=links_count(_,_))),!.
+extend_grp_proplist0(Grp,GrpO):- dont_extend_proplist(Grp),!,GrpO=Grp.
 extend_grp_proplist0(Grp,GrpO):-
   must_det_ll((
-   maplist(extend_obj_proplist(Grp),Grp,GrpM),
+   maplist(extend_grp_member_proplist(Grp),Grp,GrpM),
            externalize_links(GrpM,GrpO))).
 
-extend_obj_proplist(Obj,Props):- extend_obj_proplist(_,Obj,Props).
+extend_grp_member_proplist(Grp,Props,OUTL):- is_list_of_prop_lists(Props),!,maplist(extend_grp_member_proplist(Grp),Props,OUTL).
+extend_grp_member_proplist(Grp,[obj(Obj)],[obj(OUT)]):- extend_grp_member_proplist(Grp,Obj,OUT),!.
+extend_grp_member_proplist(Grp,obj(Obj),obj(OUT)):-!, extend_grp_member_proplist(Grp,Obj,OUT).
 
-%extend_obj_proplist(Var,NewObj):- var(Var),!, enum_object(Var),extend_grp_proplist(Var,NewObj).
-extend_obj_proplist(Grp,Props,OUTL):- is_list_of_prop_lists(Props),!,maplist(extend_obj_proplist(Grp),Props,OUTL).
-extend_obj_proplist(Grp,[obj(Obj)],[obj(OUT)]):- extend_obj_proplist(Grp,Obj,OUT),!.
-extend_obj_proplist(Grp,obj(Obj),obj(OUT)):-!, extend_obj_proplist(Grp,Obj,OUT).
-extend_obj_proplist(_Grp,Props,OUTL):- must_det_ll(is_obj_props(Props)), length(Props,Len), Len==1,!,Props=OUTL.
-extend_obj_proplist(Grp,Props,OUTL):- 
+extend_grp_member_proplist(_Grp,Props,OUTL):- must_det_ll(is_obj_props(Props)), length(Props,Len), Len==1,!,Props=OUTL.
+extend_grp_member_proplist(Grp,Props,OUTL):- 
   Obj = obj(Props),
   findall(P,extend_obj_prop(Grp,Obj,P),NewProps),
   flatten(NewProps,NewPropsF),
   override_object(NewPropsF,Props,Obj1),
+  fix_dumb_props(1,Obj1,Obj2),
   %override_object(Props,Obj1,OUT),
-  indv_props_list(Obj1,OUTL).
+  indv_props_list(Obj2,OUTL).
+
+fix_dumb_props(N,Obj1,[pen([cc(Color,1)])|Obj2]):- N==1, fail,
+  select(pen([cc(Color,1)]),Obj1,ObjM1), \+ sub_var(wfg,ObjM1),
+  is_real_color(Color),is_fg_color(Color),
+  subst001(ObjM1,Color,wfg,ObjM),
+  N1 is N +1,!,  
+  fix_dumb_props(N1,ObjM,Obj2).
+fix_dumb_props(_,Obj1,Obj1).
 
-  
 %lazy_prop(Prop):-  algo_list(Algo), arg(_,v(grid_ops(Algo,_NormOps),iz(algo_sid(Algo,_NormShapeID)),grid_rep(Algo,_NormGrid)),Prop).
+%extend_obj_prop(_Grp,Obj,Props):- fail, once((localpoints(Obj,P),vis2D(Obj,H,V),points_to_grid(H,V,P,Grid), grid_props(Grid,Props))).
+extend_obj_prop(_Grp,Obj,Prop):- compound(Obj), Obj = obj(List), missing_obj_props(Obj,List,Prop).
 extend_obj_prop(Grp,Obj,Prop):- is_in_subgroup(Grp,Obj,Prop).
-extend_obj_prop(_Grp,Obj,Props):- fail,
- once((localpoints(Obj,P),vis2D(Obj,H,V),points_to_grid(H,V,P,Grid),
-  grid_props(Grid,Props))).
-extend_obj_prop(_Grp,Obj,Prop):- compound(Obj), Obj = obj(List), 
- missing_obj_props(Obj,List,Prop).
-
 
-extend_obj_or_proplist(In,PLists):- is_list(In), last(In,Obj),is_object(Obj),!,must_det_ll((extend_grp_proplist(In,Objs),
-  my_maplist(indv_props_list,Objs,PLists))).
-extend_obj_or_proplist(In,PLists):- is_list(In), last(In,Obj),is_list(Obj),!, must_det_ll((my_maplist(indv_props_list,In,PLists))).
-extend_obj_or_proplist(In,In).
+%extend_obj_or_proplist(In,PLists):- is_list(In), last(In,Obj),is_object(Obj),!,must_det_ll((extend_grp_proplist(In,Objs), my_maplist(indv_props_list,Objs,PLists))).
+%extend_obj_or_proplist(In,PLists):- is_list(In), last(In,Obj),is_list(Obj),!, must_det_ll((my_maplist(indv_props_list,In,PLists))).
+%extend_obj_or_proplist(In,In).
 
 %%%indv_props_list(PA,PAP):- must_det_ll((extend_grp_proplist(PA,Obj), indv_props_list(Obj,PAP))),!.
  
@@ -441,13 +635,15 @@
   !.
 
 
-print_grouped_props(Named,OProps):- non_interesting_props(OProps),!, print(print_non_interesting_props(Named)->OProps).
+print_grouped_props(Named,OProps):- 
+  non_interesting_props(OProps),!, print(print_non_interesting_props(Named)->OProps).
 %print_grouped_props(Named,Obj):- \+ is_list(Obj), !, pp(print_grouped_props(Named)=Obj).
 
 print_grouped_props(Named,In):- 
   extend_grp_proplist(In,Objs),
-  print_grouped_props1(Named,Objs),!,
-  print_grouped_props2(Named,Objs),!.
+  set_test_id_io(Named),
+  print_grouped_props2(Named,Objs),!,
+  print_grouped_props1(Named,Objs),!.
 
 print_grouped_props1(Named,In):-
   must_det_ll((
@@ -465,7 +661,7 @@
  must_det_ll((
    extend_grp_proplist(In,ObjsG),
    consider_for_rank(ObjsG,Objs,_),
-   hack_prop_groups(Named,Objs),
+   %hack_prop_groups(Named,Objs),
    show_three_interesting_groups(Named,Objs,Groups),
    %banner_lines(cyan,3),
    groups_to_groupsets(Groups,GroupSets),
@@ -483,11 +679,13 @@
   w_section(title(SGroup),
     (pp(Title),nl,print_ss(Objs))).
 
+ssort(A,B):- list_to_set(A,B).
+
 show_three_interesting_groups(Named,Objs,Groups):-
   findall(Prop,(member(obj(O),Objs),member(Prop,O), not_skip_ku(Prop) ),Props),
-  sort_safe(Props,SProps),
+  ssort(Props,SProps),
   print_interesting_named_groups(props(Named),SProps),
-  my_maplist(make_unifiable_cc,SProps,UProps), predsort(using_compare(numbered_vars),UProps,SUProps),  
+  my_maplist(make_unifiable_cc,SProps,UProps), variant_list_to_set(UProps,SUProps),  
   print_interesting_named_groups(suprops(Named),SUProps),
   %count_each(SProps,Props,GroupsWithCounts),
   length_s(Objs,L),
@@ -585,7 +783,7 @@
 objs_with_props([],_,_,[]).
 
 group_quals([U|SUProps],SProps,L,[U-ListUS|KUProps]):- findall(U,member(U,SProps),ListU),
-  length_s(ListU,LUL),LUL\==L, sort_safe(ListU,ListUS),
+  length_s(ListU,LUL),LUL\==L, ssort(ListU,ListUS),
    ListUS=[_,_|_],!,group_quals(SUProps,SProps,L,KUProps).
 group_quals([_|SUProps],SProps,L,KUProps):-  group_quals(SUProps,SProps,L,KUProps).
 group_quals([],_SProps,_,[]).
@@ -610,9 +808,27 @@
 objects_names_props(SubObjs,Props):-
   findall(F-Prop,(member(O,SubObjs),object_prop(O,Prop),prop_name(Prop,F)),Props).
 
-prop_name(Prop,F):- \+ compound(Prop),!,F=Prop.
-prop_name(Prop,Named):- compound_name_arguments(Prop,F,[A|_]),
-   (number(A)-> Named =F ; compound_name_arguments(Named,F,[A])).
+prop_value(Prop,Value):- nonvar(Value),prop_value(Prop,Var),!,Value=Var.
+prop_value(List,Value):- is_list(List),!,maplist(prop_value,List,Value),!.
+prop_value(Prop,Value):- prop_first_value(Prop,Value).
+
+prop_first_value(Prop,Value):- nonvar(Value),prop_first_value(Prop,Var),!,Value=Var.
+prop_first_value(Prop,Value):- \+ compound(Prop),!,Value=Prop.
+prop_first_value(\+ Prop,Value):- nonvar(Prop),!,prop_first_value(Prop,Value).
+prop_first_value(_ - Prop,Value):- nonvar(Prop),!,prop_first_value(Prop,Value).
+prop_first_value(List,Value):- is_list(List),!,member(Prop,List),prop_first_value(Prop,Value),!.
+prop_first_value(Value,Value).
+
+prop_name(Prop,Named):- nonvar(Named),prop_name(Prop,Var),!,Named=Var.
+prop_name(Prop,Named):- prop_first_value(Prop,Value), value_to_name(Value,Named),!.
+
+value_to_name(Value,Named):- nonvar(Named),value_to_name(Value,Named2),!,Named2=Named.
+value_to_name(Value,Named):- \+ compound(Value),!,Value=Named.
+value_to_name(Value,Named):- make_unifiable_cc(Value,Named),!.
+value_to_name(Value,Named):- make_unifiable_cc(Value,UProp),
+   compound_name_arguments(UProp,F,Args),
+   include(nonvar,Args,OArgs),
+   (OArgs ==[] -> Named=F ; compound_name_arguments(Named,F,OArgs)).
 
 
 mostly_fg_objs(OutCR,OutCR):-!.
@@ -665,16 +881,33 @@
 link_functor(contained_by,contained_by).
 
 
+
+missing_obj_props(Obj,List,Prop):-
+ Prop = grid_ops(Algo,NormOps),
+ algo_list(Algo), \+ member(Prop,List), grid_ops(Obj,Algo,NormOps).
+missing_obj_props(Obj,List,Prop):-
+ Prop = grid_rep(Algo,NormOps),
+ algo_list(Algo), \+ member(Prop,List), grid_rep(Obj,Algo,NormOps).
+missing_obj_props(Obj,List,Prop):-
+ Prop = iz(algo_sid(Algo,NormShapeID)),
+ algo_list(Algo),
+ \+ member(Prop,List), 
+ grid_rep(Obj,Algo,NormGrid),local_shape_id(NormGrid,NormShapeID).
+
+missing_obj_props(Obj,List,Prop):-
+  Prop = links_count(Functor,Count),
+  \+ member(Prop,List),
+  obj_link_count(Obj,Functor,Count).
+
+
+
 %is_in_subgroup(Grp,Obj,Prop):- var(Obj),!, enum_object(Obj),is_in_subgroup(Grp,Obj,Prop).
 is_in_subgroup(Grp,Obj,Prop):- nonvar(Grp),var(Obj),!,member(Obj,Grp),is_in_subgroup(Grp,Obj,Prop).
 is_in_subgroup(Grp,Obj,Prop):- var(Grp),var(Obj),!,findall(Obj,enum_object(Obj),Grp),is_in_subgroup(Grp,Obj,Prop).
-is_in_subgroup(_Grp,Obj,links_count(Functor,Count)):- 
-  link_functor(Contained_by,Functor),
-  findall(_, (indv_props(Obj,link(Contained_by,_))), FYL1),
-  (FYL1==[] -> findall(_, (indv_props(Obj,elink(Contained_by,_))), FYL); FYL=FYL1),
-  length_s(FYL,Count).
 
-is_in_subgroup(Grp,YObj,occurs_in_links(Functor,Count)):- 
+%is_in_subgroup(_Grp,Obj,links_count(Functor,Count)):-   obj_link_count(Obj,Functor,Count).
+
+is_in_subgroup(Grp,YObj,occurs_in_links(Functor,Count)):- is_list(Grp),
   obj_to_oid(YObj,Y),
   findall(Functor-Obj, 
     (member(Obj,Grp),indv_props_list(Obj,PL),member(link(Contained_by,YY),PL),YY=Y,functor(Contained_by,Functor,_)), FYL), 
@@ -684,6 +917,13 @@
 is_in_subgroup(_Grp,Obj,nth_fg_color(Nth,Color)):- unique_fg_colors(Obj,List),
  sort_color_by_mass(Obj,List,Sorted),nth1(Nth,Sorted,Color).
 
+obj_link_count(Obj,Functor,Count):- 
+  link_functor(Contained_by,Functor),
+  findall(_, (indv_props(Obj,link(Contained_by,_))), FYL1),
+  (FYL1==[] -> findall(_, (indv_props(Obj,elink(Contained_by,_))), FYL); FYL=FYL1),
+  length_s(FYL,Count).
+
+
 
 %is_in_subgroup(Grp,Obj,ansestors(N,Set)):-transitive_sets(ansestor,Obj,Set,N).
 %is_in_subgroup(Grp,Obj,descendants(N,Set)):-transitive_sets(descendant,Obj,Set,N).
@@ -700,13 +940,12 @@
   indv_props_list(Indv,List0),
   ku_rewrite_props(List0,List9).
 
+var_e(E,S):- E==S,!.
+var_e(E,S):- (nonvar(E);attvar(E)),!,E=@=S.
 
-variant_list_to_set(I,O):- list_to_set(I,M),list_to_set_variants_equal2(M,O).
-
-list_to_set_variants_equal2([E|List],[E|Set]):- !,
-  ((select(S,List,Rest),shall_count_as_same(E,S))
-    ->list_to_set_variants_equal2(Rest,Set);list_to_set_variants_equal2(List,Set)).
-list_to_set_variants_equal2(H,H).
+variant_list_to_set([E|List],Out):- select(S,List,Rest),var_e(E,S),!, variant_list_to_set([E|Rest],Out).
+variant_list_to_set([E|List],[E|Out]):- !, variant_list_to_set(List,Out).
+variant_list_to_set(H,H).
 
 flat_props(PropLists,OUTL):- is_list_of_prop_lists(PropLists),!,flatten(PropLists,OUTL).
 flat_props(Objs,EList):-
@@ -717,25 +956,26 @@
 hack_prop_groups(Named,Objs):-
  must_det_ll((
   flat_props(Objs,EList),
-  w_section(print_elists(Named), print_elists_hack_objs(Named,EList,Objs,HackedObjs)),
+  w_section(print_elists(Named),
+    print_elists_hack_objs(Named,EList,Objs,HackedObjs)),
   banner_lines(orange,2),
   nop((my_maplist(arg(1),HackedObjs,RRR),
     w_section(hack_prop_groups(Named), (print_ptree(hacked(Named),RRR), banner_lines(yellow,2))))),  
   ignore(skip_if_ansi(print_propset_groups(Named,Objs,EList))))).
 
-obj_had_vbo(Objs,HAD,VersionsByOccurances):-
+obj_had_vbo(Objs,HAD,VbO):-
   variance_had_counts(_Common,HAD,Objs,_Versions,_Missing,VersionsByCount,_Variance),
   vesion_uniqueness(VersionsByCount,VersionsByOccurancesN),
-  vesion_uniqueness(VersionsByOccurancesN,VersionsByOccurances),!.
+  vesion_uniqueness(VersionsByOccurancesN,VbO),!.
 
 which_props(UPropsSetGSet,Objs,WhichCounts):-
-   sort(UPropsSetGSet,UPropsSetGSetOO),
+   list_to_set(UPropsSetGSet,UPropsSetGSetOO),
    variant_list_to_set(UPropsSetGSetOO,UPropsSetGSetOOL),
    maplist(obj_had_vbo(Objs),UPropsSetGSetOOL,VCWs),
-   sort(VCWs,VCWsS1),reverse(VCWsS1,VCWsS2),
+   list_to_set(VCWs,VCWsS1),reverse(VCWsS1,VCWsS2),
    %maplist(indicate_priority,VCWsS2,SS),
    VCWsS2 = SS,!,
-   sort(SS,WhichCounts), !.
+   list_to_set(SS,WhichCounts), !.
    %predsort(sort_on(prop_priority),VCWsS2,WhichCounts).
 
 indicate_priority(I,S -> I):- indicate_priority0(I,S).
@@ -747,7 +987,7 @@
 prop_priority([1-(N-_),Not1-(_-_)|_],1-N):- Not1\==1,!.
 prop_priority([1-(_-_),   1-(N-_)|_],2-N):-!.
 prop_priority(_,                     3-inf).
-   
+
 
 
 var_to_underscore(Var,_):- plain_var(Var),!.
@@ -760,11 +1000,12 @@
  % HackedObjs = Splits,
   length_s(Objs,BaseSize),
   variant_list_to_set(Props,PropsSet),
-  count_each(PropsSet,Props,CountOfEachL),
-  predsort(sort_on(arg(2)),CountOfEachL,CountOfEach0),
-  sort(CountOfEach0,CountOfEach),
+  count_each(PropsSet,Props,CountOfEach0),
+  %predsort(sort_on(arg(2)),CountOfEachL,CountOfEach0),
+  list_to_set(CountOfEach0,CountOfEach),
   %mpp(countOfEach=CountOfEach),
   ignore(my_maplist(remember_propcounts(Named,count),CountOfEach)),
+  remember_propcounts(Named,countE,CountOfEach,Props,PropsSet),
   my_maplist(make_unifiable_cc,PropsSet,UPropsSet),
   map_pred(var_to_underscore,UPropsSet,UPropsSetG),
   variant_list_to_set(UPropsSetG,UPropsSetGSet),
@@ -774,13 +1015,14 @@
   variant_list_to_set(GroupsWithCountsL,GroupsWithCountsLVS),
   predsort(sort_on(arg(2)),GroupsWithCountsLVS,GroupsWithCounts),!,
   variant_list_to_set(GroupsWithCounts,GroupsWithCountsW),
-  sort(GroupsWithCountsW,GroupsWithCountsWP),
+  list_to_set(GroupsWithCountsW,GroupsWithCountsWP),
   variant_list_to_set(GroupsWithCountsWP,GroupsWithCountsWPO),
-  make_splitter(GroupsWithCountsWPO,CountOfEach,SSplits),sort(SSplits,CSplits),
+  make_splitter(GroupsWithCountsWPO,CountOfEach,SSplits),list_to_set(SSplits,CSplits),
   store_splits(Named,BaseSize,CSplits,Splits),
   %nop
-  nop(print_ptree(countOfEachU(Named),Splits)),
+  (print_ptree(countOfEachU(Named),Splits)),
   ignore(my_maplist(remember_propcounts(Named,diversity),GroupsWithCountsWPO)),
+  remember_propcounts(Named,diversityE,GroupsWithCountsWPO),
   replace_props_with_stats(GroupsWithCountsWPO,CountOfEach,Objs,HackedObjsM),
   my_maplist(ku_rewrite_props,HackedObjsM,Hacked),
   nop(pp(hackedObjs(Named)=HackedObjs)))).
@@ -827,36 +1069,52 @@
 
 made_split(_N,_UProp,[],[]).
 made_split(N,UProp,List,Out):-variant_list_to_set(List,Set),List\=@=Set,!,made_split(N,UProp,Set,Out).
-made_split(N,UProp,List,Out):-sort(List,Set),List\=@=Set,!,made_split(N,UProp,Set,Out).
+made_split(N,UProp,List,Out):-list_to_set(List,Set),List\=@=Set,!,made_split(N,UProp,Set,Out).
 made_split(_,UProp,List,((Len-UProp)->List)):- length_s(List,Len).
 sameps(UProp,_-Prop):- \+ Prop \= UProp.
 
-into_test_id_io(Named+Filter,TestID,ExampleNum,IO+Filter):-
- into_test_id_io(Named,TestID,ExampleNum,IO),!.
-into_test_id_io(Named,TestID,(Example+Num),IO):-
- name_to_selector(Named,((Example+Num)*IO)),get_current_test(TestID),!.
-into_test_id_io(vs(Name1+Filter1,Name2+Filter2),TestID,
+set_test_id_io(Named):-
+  into_test_id_io1(Named,TestID,ExampleNum,IO),
+  nb_setval(prior_asserts,to(TestID,ExampleNum,IO)).
+into_test_id_io(Named,TestID,ExampleNum,IO):- var(Named),!, must_det_ll((nb_current(prior_asserts,to(TestID,ExampleNum,IO)))),!.
+into_test_id_io(Named,TestID,ExampleNum,IO):-
+  into_test_id_io1(Named,TestID,ExampleNum,IO),
+  nb_setval(prior_asserts,to(TestID,ExampleNum,IO)).
+
+into_test_id_io1(Named+Filter,TestID,ExampleNum,IO+Filter):- into_test_id_io1(Named,TestID,ExampleNum,IO),!.
+into_test_id_io1(Named,TestID,(Example+Num),IO):- name_to_selector(Named,((Example+Num)*IO)),get_current_test(TestID),!.
+into_test_id_io1(vs(Name1+Filter1,Name2+Filter2),TestID,
   vs(Example+Num,(Example2+Num2)),
   vs(IO,IO2,vs(Filter1,Filter2))):- 
   name_to_selector(Name1,((Example+Num)*IO)),get_current_test(TestID),
   name_to_selector(Name2,((Example2+Num2)*IO2)),!.
-into_test_id_io(input(TestID>ExampleNum),TestID,ExampleNum,in).
-into_test_id_io(both(TestID>ExampleNum),TestID,ExampleNum,in_out).
-into_test_id_io(output(TestID>ExampleNum),TestID,ExampleNum,out).
-into_test_id_io(Named,TestID,ExampleNum,IO):- Named=..[IO,TestID>ExampleNum],!.
-into_test_id_io(Named,TestID,ExampleNum,IO):- Named=..[IO,TestID,ExampleNum],!.
-into_test_id_io(Named+Filter,TestID,Named,Filter):-get_current_test(TestID),!.
-into_test_id_io(Named,TestID,Named,Named):-get_current_test(TestID),!.
-  
-name_to_selector(Name,((Trn+Num)*IO)):- make_up_selector_name(Trn+Num*IO,NameO),Name=NameO.
+into_test_id_io1(input(TestID>ExampleNum),TestID,ExampleNum,in).
+into_test_id_io1(both(TestID>ExampleNum),TestID,ExampleNum,in_out).
+into_test_id_io1(output(TestID>ExampleNum),TestID,ExampleNum,out).
+into_test_id_io1(Named,TestID,ExampleNum,IO):- Named=..[IO,TestID>ExampleNum],!.
+into_test_id_io1(Named,TestID,ExampleNum,IO):- Named=..[IO,TestID,ExampleNum],!.
+into_test_id_io1(Named+Filter,TestID,Named,Filter):-get_current_test(TestID),!.
+into_test_id_io1(Named,TestID,Named,Named):-get_current_test(TestID),!.
+
+name_to_selector(Named,((Trn+Num)*IO)):- make_up_selector_name(Trn+Num*IO,NameO),Named=NameO.
+
+
+
+remember_propcounts(Named,Diversity,N-Prop):- !, into_test_id_io(Named,TestID,ExampleNum,IO),
+  assert_if_new(propcounts(TestID,ExampleNum,IO,Diversity,N,Prop)).
+remember_propcounts(Named,Diversity,Prop):- into_test_id_io(Named,TestID,ExampleNum,IO),
+  assert_if_new(propcounts(TestID,ExampleNum,IO,Diversity,Prop)).
 
+remember_propcounts(Named,Diversity,B,N-Prop):- !, into_test_id_io(Named,TestID,ExampleNum,IO),
+  assert_if_new(propcounts(TestID,ExampleNum,IO,Diversity,B,N,Prop)).
+remember_propcounts(Named,Diversity,B,Prop):- into_test_id_io(Named,TestID,ExampleNum,IO),
+  assert_if_new(propcounts(TestID,ExampleNum,IO,Diversity,B,Prop)).
 
+remember_propcounts(Named,Diversity,B,Prop,A):- into_test_id_io(Named,TestID,ExampleNum,IO),
+  assert_if_new(propcounts(TestID,ExampleNum,IO,Diversity,B,Prop,A)).
 
-remember_propcounts(Named,Diversity,N-Prop):- into_test_id_io(Named,TestID,ExampleNum,IO),
-  arc_assert(propcounts(TestID,ExampleNum,IO,Diversity,N,Prop)).
-remember_propcounts(Named,Diversity,B,N-Prop):- into_test_id_io(Named,TestID,ExampleNum,IO),
-  arc_assert(propcounts(TestID,ExampleNum,IO,Diversity,B,N,Prop)).
 
+:- dynamic(propcounts/5).
 :- dynamic(propcounts/6).
 :- dynamic(propcounts/7).
 
@@ -865,7 +1123,7 @@
 
 replace_props_with_stats(SortedWithCounts,CountOfEach,obj(Objs),obj(HackedObjs)):- 
   !,my_maplist(replace_props_with_stats(SortedWithCounts,CountOfEach),Objs,Hacked),
-  sort(Hacked,HackedObjsR),reverse(HackedObjsR,List0),!,
+  list_to_set(Hacked,HackedObjsR),reverse(HackedObjsR,List0),!,
   include(not_skip_ku,List0,List1),
   my_maplist(ku_rewrite_props,List1,HackedObjs).
 
@@ -949,8 +1207,8 @@
 
 any_have_prop(Except,Prop):- member(O,Except),has_prop(Prop,O),!.
 
-transitive_sets(P2,Obj,Set,N):- findall(n(P,List),(trans(P2,Obj,List),List\==[],length_s(List,P)),Lists),sort_safe(Lists,Set),length_s(Set,N).
-nontransitive_set(P2,Obj,Set,N):- findall(Other,p2_call(P2,Obj,Other),List),sort_safe(List,Set),length_s(Set,N).
+transitive_sets(P2,Obj,Set,N):- findall(n(P,List),(trans(P2,Obj,List),List\==[],length_s(List,P)),Lists),ssort(Lists,Set),length_s(Set,N).
+nontransitive_set(P2,Obj,Set,N):- findall(Other,p2_call(P2,Obj,Other),List),list_to_set(List,Set),length_s(Set,N).
 
 trans(P2,Obj,Out):- obj_to_oid(Obj,OID),trans_no_loop(P2,[OID],Obj,Out).
 
@@ -973,11 +1231,6 @@
 contained_by(Obj,Other):- has_prop(link(contained_by,Other,_),Obj).
 
 
-% =====================================================================
-is_fti_step(extend_obj_proplists).
-% =====================================================================
-%really_group_vm_priors(_VM):-!.
-extend_obj_proplists(VM):- extend_grp_proplist(VM.objs,set(VM.objs)).
 
 
 % =====================================================================
@@ -1020,6 +1273,8 @@
 
 add_rankings(Objs,WithPriors):- add_rankings(cuz,Objs,WithPriors).
 
+
+
 add_rankings(Why,ObjsIn,WithPriors):- fail,
  relivant_divide(RelivantDivide),
  my_partition(RelivantDivide,ObjsIn,FG,BG),
@@ -1033,74 +1288,142 @@
 
 add_rankings(Why,ObjsIn,WithPriors):- fail,
  once(combine_same_globalpoints(ObjsIn,Objs)),
- ObjsIn\=@=Objs,!,
- add_rankings(Why,ObjsIn,WithPriors).
+ ObjsIn\=@=Objs,!, 
+ add_rankings(Why,Objs,WithPriors).
 
+%add_rankings(_,Objs,Objs):-!.
 add_rankings(Why,Objs,WithPriors):- 
-  group_prior_objs0(Why,Objs,WithPriors),!.
+  add_how_simular(Objs,Simulars),
+  group_prior_objs0(Why,Simulars,WithPriors),!.
 
 group_prior_objs0(Why,Objs,WithPriors):- 
+ must_det_ll(group_prior_objs1(Why,Objs,WithPriors)),!,
+ (Objs=@=WithPriors -> wdmsg(group_prior_objs0_same) ; wdmsg(group_prior_objs0_DIFFF)),
+ !.
+
+add_how_simular(ObjsIn,ObjsIn):-!.
+add_how_simular(ObjsIn,Simulars):-
+  add_how_simular(ObjsIn,ObjsIn,Simulars).
+
+add_how_simular([],_,[]):-!.
+add_how_simular([obj(O)|Objs],ObjsIn,[obj(OO)|Simulars]):- 
+  select(obj(O),ObjsIn,Rest),
+  add_how_common(O,Rest,OO),
+  add_how_simular(Objs,ObjsIn,Simulars).
+
+add_how_common([],_,[]):-!.
+add_how_common([Prop|O],Rest,[Prop,simular(Prop,N)|OO]):- 
+  Prop\=giz(_), Prop\=simular(_,_), Prop\=link(_,_),
+  Prop\=oid(_),
+  \+ (compound_name_arity(Prop,_,A),A>2),
+  % \+ ( arg(2,Prop,E),number(E) ),
+  % Prop\=pg(_,_,_,_),
+  findall(_,(sub_term(E,Rest),E==Prop),L),length(L,N),
+  %prop_name(Prop,Name),!,
+  add_how_common(O,Rest,OO).
+add_how_common([Prop|O],Rest,[Prop|OO]):-
+  add_how_common(O,Rest,OO).
+  
+
+group_prior_objs1(Why,Objs,WithPriors):-   
  must_det_ll((
  %print_list_of(show_indiv,add_rankings,Objs),!,
  flat_props(Objs,Flat),
  maplist(make_unifiable_cc,Flat,UFlat),
- predsort(using_compare(numbered_vars),UFlat,Lbls),
+ variant_list_to_set(UFlat,Lbls),
  length_s(Lbls,Len),
  Title = Why+Len,
+ length(Objs,ObjsLen),
+
  w_section(title(add_priors(Title)),
   %print_tree(groupPriors=Lbls,[max_depth(200)]),
-  with_tag_class(div,nonpre,add_uset_priors(Lbls,Objs,WithPriors))))).
+  with_tag_class(div,nonpre,
+     add_uset_priors(ObjsLen,Lbls,Objs,WithPriors))))).
 
 skip_prior(HAD):- \+ compound(HAD),!.
 skip_prior(HAD):- \+ \+ not_care_to_count(HAD),!.
+%skip_prior(HAD):- HAD=simular(_,_),!,fail.
 skip_prior(HAD):- compound_name_arity(HAD,_,N),!,N>1.
-add_uset_priors([],Objs,Objs):-!.
-add_uset_priors([HAD|Lbls],Objs,WithPriors):-
-  skip_prior(HAD), !, add_uset_priors(Lbls,Objs,WithPriors).
-add_uset_priors([HAD|Lbls],Objs,WithPriors):-
-  skip_prior(HAD), !, add_uset_priors(Lbls,Objs,WithPriors).
 
-add_uset_priors([HAD|Lbls],Objs,WithPriors):-  
+add_uset_priors(_,[],Objs,Objs):-!.
+add_uset_priors(ObjsLen,[HAD|Lbls],Objs,WithPriors):-
+  skip_prior(HAD), !, add_uset_priors(ObjsLen,Lbls,Objs,WithPriors).
+add_uset_priors(ObjsLen,[HAD|Lbls],Objs,WithPriors):-
+  skip_prior(HAD), !, add_uset_priors(ObjsLen,Lbls,Objs,WithPriors).
+
+add_uset_priors(ObjsLen,[HAD|Lbls],Objs,WithPriors):-  
  must_det_ll((
   variance_had_counts(Common,HAD,Objs,Versions,Missing,VersionsByCount,Variance))),
    \+ \+ (member(V,Versions),has_subterm(number,V)),
-  must_det_ll(((  Variance==1;  (fail, length(Objs,Len),Len==Variance,Missing==[]))
-   -> add_uset_priors(Lbls,Objs,WithPriors)
-   ; (add_1uset_prior(Common,VersionsByCount,Objs,NObjs), add_uset_priors(Lbls,NObjs,WithPriors)))),!.
+  must_det_ll((((  Variance==1;  (fail, length(Objs,Len),Len==Variance,Missing==[])),fail)
+   -> add_uset_priors(ObjsLen,Lbls,Objs,WithPriors)
+   ; (add_1uset_prior(ObjsLen,Common,VersionsByCount,Objs,NObjs), add_uset_priors(ObjsLen,Lbls,NObjs,WithPriors)))),!.
 
-add_uset_priors([_|Lbls],Objs,WithPriors):-
-  add_uset_priors(Lbls,Objs,WithPriors),!.
+add_uset_priors(ObjsLen,[_|Lbls],Objs,WithPriors):-
+  add_uset_priors(ObjsLen,Lbls,Objs,WithPriors),!.
 
-add_1uset_prior(Common,VersionsByCount,Objs,NObjs):- 
+add_1uset_prior(ObjsLen,Common,VersionsByCount,Objs,NObjs):- 
   vesion_uniqueness(VersionsByCount,VersionsByOccurancesN),
-  vesion_uniqueness(VersionsByOccurancesN,VersionsByOccurances),
- maplist(add_prior_info(Common,VersionsByOccurances),Objs,NObjs).
-
-add_prior_info(Common,VersionsByOccurances,obj(List),obj(NewList)):-
-  add_prior_info_1(Common,VersionsByOccurances,List,NewList),!.
-add_prior_info(Common,VersionsByOccurances,(List),(NewList)):- 
-  add_prior_info_1(Common,VersionsByOccurances,List,NewList),!.
-
-add_prior_info_1(_Common,VersionsByOccurances,PropList,OUT):- is_list(PropList),
-  length(VersionsByOccurances,Max), Max>1,
-  append(Left,[PropL|Right],PropList),
-  find_version(VersionsByOccurances,Prop,N1,N2,PropL),
-  \+ sub_compound(pg(Max,Prop,_,_),PropList),
-  append(Left,[pg(Max,Prop,N1,N2),Prop,Right],OUT),!.
-
-add_prior_info_1(_Common,_VersionsByCount,PropList,PropList).
-
+  vesion_uniqueness(VersionsByOccurancesN,VbO),
+ maplist(add_prior_info(Objs,ObjsLen,Common,VbO),Objs,NObjs).
+
+add_prior_info(Objs,ObjsLen,Common,VbO,obj(List),obj(NewList)):-
+  add_prior_info_1(Objs,ObjsLen,Common,VbO,List,NewList),!.
+add_prior_info(Objs,ObjsLen,Common,VbO,(List),(NewList)):- 
+  add_prior_info_1(Objs,ObjsLen,Common,VbO,List,NewList),!.
+
+add_prior_info_1(_Objs,ObjsLen,_Common,VbO,PropList,OUT):- is_list(PropList),
+  length(VbO,Rankers), %Rankers>1,
+  find_version(VbO,Prop,N1,N2,PropList),
+  member(Prop,PropList),
+  %prop_name(Prop,Name),  
+  value_to_name(Prop,Name),
+  R = pg(Rankers,Name,rank1,N2),  
+  \+ member(R,PropList),  
+  rank_size(Rankers,N2,Size),
+  %subst(PropList,Prop,R,PropListR),
+  PropList = PropListR,
+  nop(_=pg(Size,Name,rank3,Size)),
+  append(PropListR,[R,pg(ObjsLen,Name,simulars,N1)],OUTE),!,
+  include(some_pgs_and_props(PropList),OUTE,OUT).
+
+add_prior_info_1(_Objs,_ObjsLen,_Common,_VersionsByCount,PropList,PropList).
+
+use_simulars(_):- fail.
+use_rank(mass(_)).
+redundant_prop(_,nth_fg_color(N1,_)):- N1==1.
+redundant_prop(Props,unique_colors([FG])):- sub_var(pen([cc(FG,1)]),Props),!.
+redundant_prop(Props,cc(FG,_)):- is_real_fg_color(FG),sub_var(pen([cc(FG,1)]),Props),!.
+redundant_prop(Props,center2D(_,_)):- sub_compound(loc2D(_,_),Props).
+%redundant_prop(Props,center2D(X,Y)):- sub_var(center2G(X,Y),Props).
+redundant_prop(Props,center2G(X,Y)):- sub_var(center2D(X,Y),Props).
+
+some_pgs_and_props(_,pg(_,Name,simulars,_)):- !, use_simulars(Name),!.
+some_pgs_and_props(_,pg(_,Name,rank1,_)):- !, use_rank(Name),!.
+some_pgs_and_props(PropList,Name):- \+ redundant_prop(PropList,Name).
+
+rank_size(_,1,3):-!.
+rank_size(M,N,2):- N\==M,!.
+rank_size(N,N,1):-!.
+
+find_version(VbO,Prop,N1,N2,PropList):-
+  member(Version,VbO),deepest_kv(Version,N2,Prop),has_nprop(Prop,PropList),arg(1,Version,N1),!.
+find_version(VbO,OProp,N1,N2,_PropList):-
+  member(Version,VbO),deepest_kv(Version,N2, \+ Prop),ignore(arg(1,Version,N1)),!,
+  ignore(\+ Prop = OProp).
+
+
+deepest_kv(_-(K-V),O,VV):- nonvar(K), !, deepest_kv(K-V,O,VV).
+deepest_kv(O-V,O,V).
+deepest_kv(V,_,V).
 
-find_version(VersionsByOccurances,Prop,N1,N2,PropList):-
-  member(Version,VersionsByOccurances),deepest_kv(Version,N2,Prop),has_nprop(Prop,PropList),arg(1,Version,N1),!.
+%:- reconsult(kaggle_arc_individuation).
 
 /*
  clumped_r([1,2,3,3],O).
 O = [1-1,1-2,2-3].
 
 */
-deepest_kv(_-(K-V),O,VV):-!, deepest_kv(K-V,O,VV).
-deepest_kv(O-V,O,V).
 
 select_which(CntC,Order):- keysort(CntC,Order2),maplist(arg(2),Order2,Order).
 clumped_r(Cnts,CntR):- clumped(Cnts,CntC),maplist(swap_vk,CntC,CntR).
@@ -1113,7 +1436,7 @@
 vesion_uniqueness(I,O):- vesion_uniqueness1(I,O),!.
 
 vesion_uniqueness1(I,O):- 
-  vesion_uniqueness(I,I,M),sort(M,M1),=(M1,O),!.
+  vesion_uniqueness(I,I,M),list_to_set(M,M1),=(M1,O),!.
 
 %number_cards(M1,O):- 
 
@@ -1180,7 +1503,7 @@
   list_to_set(Fallback2,BestOrder),
   ((InHidden==[];equal_sets(InHidden,InC))-> Rest=[] ; create_vis_layers(Fallback2,IH,IV,LayerNum2,InHidden,Rest)).
 
-equal_sets(A,B):- sort_safe(A,AA),sort_safe(B,BB),AA=@=BB.
+equal_sets(A,B):- sort(A,AA),sort(B,BB),AA=@=BB.
 
 
 % sprop_piority(Class,Priority).
@@ -1248,7 +1571,7 @@
 largest_priority(Indv,Priority):- sprop_piority(Prop,Priority), has_prop(Prop,Indv),!.
 largest_priority(_,1).
 largest_first(P2,IndvS0,IndvR):-   
- sort_safe(IndvS0,IndvS),
+ ssort(IndvS0,IndvS),
  %must_det_ll
  ((
   findall((Priority+Size)-Indv,(member(Indv,IndvS),largest_priority(Indv,NPriority),call(P2,Indv,Size),Priority is - NPriority),All),
@@ -1283,32 +1606,40 @@
 has_subterm(P1,HasNumber):- sub_term(N,HasNumber),call(P1,N),!.
 
 variance_had_counts(Common,HAD,RRR,Versions,Missing,VersionsByCount,Variance):-
- must_det_ll((
+ %HAD\=simular(_,_),
+ must_det_ll((  
   make_unifiable_cc(HAD,UHAD),
   findall(RR,(member(RR,RRR), once((indv_props_list(RR,R), \+ member(UHAD,R)))),Missing),
   length(Missing,ML),
   findall(UHAD,(member(RR,RRR), indv_props_list(RR,R), member(UHAD,R)),VersionL),
-  predsort(using_compare(numbered_vars),VersionL,VersionSet),
-  some_min_unifier_cc(VersionSet,Common),nonvar(Common),
-  predsort(using_compare(version_magnitude),VersionSet,VersionSetOrdered),
-  lists:number_list(VersionSetOrdered,1,VersionSetNumberedVK),
-  maplist(swap_vk,VersionSetNumberedVK,VersionSetNumbered),
-  count_each(VersionSetOrdered,VersionL,CountOfEachL),
-  subst_2L(VersionSetOrdered,VersionSetNumbered,CountOfEachL,CountOfEachNumbered),
+  variant_list_to_set(VersionL,VersionSet),
+  some_min_unifier(VersionSet,Common),nonvar(Common),
+  number_from_magnitude(VersionSet,VersionSetNumbered),
+  count_each(VersionSet,VersionL,CountOfEachL),
+  subst_2L(VersionSet,VersionSetNumbered,CountOfEachL,CountOfEachNumbered),
   
-  (ML == 0 -> 
-  ->(Versions = VersionSetOrdered, vesion_uniqueness2(CountOfEachNumbered,VersionsByCount))
-  ; (Versions=[(\+(UHAD))|VersionSetOrdered],vesion_uniqueness2([ML-(0- \+(UHAD))|CountOfEachNumbered],VersionsByCount))),
-  length(Versions,Variance))).
+  (ML == 0
+  ->(Versions = VersionSet, CountOfEachNumbered=CountOfEachNumberedNN)
+  ; (Versions=[(\+(UHAD))|VersionSet],CountOfEachNumberedNN=[ML-(0- \+(UHAD))|CountOfEachNumbered])),  
+ length(Versions,Variance),
+ vesion_uniqueness2(CountOfEachNumberedNN,VersionsByCount),
+ ignore(((nb_current(prior_asserts,to(TestID,ExampleNum,IO)),
+    \+ propcounts(TestID,ExampleNum,IO, variance_had_count_set(_,_),        UHAD,_,_),
+    assert_if_new(
+       propcounts(TestID,ExampleNum,IO, variance_had_count_set(Variance,ML),Common,Versions,CountOfEachNumberedNN))))))).
+
+number_from_magnitude(VersionSet,VersionSetNumbered):-
+  predsort(using_compare(version_magnitude),VersionSet,VersionSetOrdered),
+  lists:number_list(VersionSetOrdered,1,VersionSetOrderedNumberedVK),
+  maplist(swap_vk,VersionSetOrderedNumberedVK,VersionSetOrderedNumberedKV),
+  subst_2L(VersionSetOrdered,VersionSetOrderedNumberedKV,VersionSet,VersionSetNumbered).
 
-some_min_unifier_cc([],[]):-!.
-some_min_unifier_cc(A,B):- some_min_unifier(A,B).
 
 /*
 variance_had(HAD,RRR,Versions,Variance):-
   make_unifiable_cc(HAD,UHAD),
   findall(UHAD,(member(R,RRR),member(UHAD,R)),VersionL),
-  sort(VersionL,Versions),
+  list_to_set(VersionL,Versions),
   length(Versions,Variance).
 */
 is_length(N,L):- length_s(L,N).
@@ -1353,7 +1684,7 @@
   variant_list_to_set(GroupsWithCountsL,GroupsWithCountsLVS),
   predsort(sort_on(arg(2)),GroupsWithCountsLVS,GroupsWithCounts),!,
   variant_list_to_set(GroupsWithCounts,GroupsWithCountsW),
-  sort(GroupsWithCountsW,KS), [_N-HAD|_] = KS,
+  list_to_set(GroupsWithCountsW,KS), [_N-HAD|_] = KS,
   findall(HAD,member(HAD,PropsSet),HHH),!,
   treeify_props_these_next(Named,HAD,HHH,RRR,OUTPUT).
 
@@ -1364,16 +1695,18 @@
  my_maplist(select_safe_always(Versions,UProp),_,RRR,RR),
  treeify_props(Named,RR,OUT).
 */
-
-objs_to_had(Objs,HAD):- 
+objs_to_which_props(Objs,List):- 
   flat_props(Objs,Props),
   maplist(make_unifiable_cc,Props,UProps),
   variant_list_to_set(UProps,PropsSet),
   my_maplist(make_unifiable_cc,PropsSet,UPropsSet),
   map_pred(var_to_underscore,UPropsSet,UPropsSetG),
   variant_list_to_set(UPropsSetG,UPropsSetGSet),
-  which_props(UPropsSetGSet,Objs,List),!,
-  member(one(_,_-HAD),List).
+  which_props(UPropsSetGSet,Objs,List).
+
+objs_to_had(Objs,HAD):- 
+  objs_to_which_props(Objs,List),!,
+  member(1-One,List),deepest_kv(One,_,HAD).
 
  treeify_props(Named,_DontDivOnThisNumber,Objs, (one(EACH) -> EACHOUT)):- fail,
   objs_to_had(Objs,HAD), 
@@ -1403,18 +1736,21 @@
 
 
 
-treeify_props(P1,Named,DontDivOnThisNumber,RRR, (EACH -> EACHOUT)):- member(SEG,[5,3,2,1]),
+treeify_props(P1,Named,DontDivOnThisNumber,RRR, (EACH -> EACHOUT)):- 
  EACH = each((SubEach>=SEG)*Variance*UProp),
+ TopDiv is round(DontDivOnThisNumber /2)-1,
+ member(SEG,[TopDiv,5,3,2,1]),
  member(R,RRR), member(HAD,R), \+ call(P1,HAD,RRR),
  %HAD\=pen(_),
  variance_had_counts(UProp,HAD,RRR,Versions,Missing,CountOfEach,Variance), 
  DontDivOnThisNumber\==Variance,
   maplist(arg(1),CountOfEach,CountL),
-  sort(CountL,CountOfEachSorted),
+  list_to_set(CountL,CountOfEachSorted),
  CountOfEachSorted=[SubEach], 
  SubEach>=SEG,
  term_variables(UProp,EVars),
  subst_between(EVars,UProp,RRR,NEWRRR),
+ print(coe = CountOfEach),
  (((RRR=@=NEWRRR)) 
    -> ( treeify_versions(Named,EACH,UProp,Versions,RRR,Missing,OUT), always_attempt_min_unifier_select(EACH,OUT,EACHOUT))
    ; ( flag(nvs,X,X),
@@ -1454,7 +1790,7 @@
       variance_had_counts(UProp,HAD,RRR,Versions,Missing,Counts,Variance),
       (Missing==[] ->  DontDivOnThisNumber\==Variance ; true)),
    BestUProps),
-  sort(BestUProps,SortedBestUProps),
+  list_to_set(BestUProps,SortedBestUProps),
   uniquest(DontDivOnThisNumber,SortedBestUProps,Best),
   UProp\=pen(_),
   term_variables(UProp,EVars),
@@ -1536,7 +1872,7 @@
 
 lots_of_prop(RRR,N,HAD):- 
   flatten(RRR,GF),
-  sort_safe(GF,GSS), 
+  ssort(GF,GSS), 
   care_to_count(GSS,GS), 
   count_each(GS,GF,UC),
   keysort(UC,KS),
@@ -1545,12 +1881,30 @@
 
 variant_member(E,List):- member(V,List),E=@=V,!.
 
+templify_cc(WP1,WP2):- \+ compound(WP1),!,WP2=WP1.
+templify_cc(N-WP1,N-_):- \+ compound(WP1),!.
+
+templify_cc([H|T],[HH|TT]):- !, templify_cc(H,HH),templify_cc(T,TT).
+
+templify_cc(A-(B-(C-(_-_))),A-(B-(C-(_-_)))):- nonvar(C),!.
+%templify_cc(A-B-C-_-WP1,A-B-C-_-_):- compound(WP1),!.
+
+
+templify_cc(N-M-WP1,N-WP2):- !, templify_cc(M-WP1,WP2).
+templify_cc(N-WP1,N-_):- is_prop1(WP1),!.
+templify_cc(N-WP1,N-WP2):- !, templify_cc(WP1,WP2).
+
+
+make_unifiable_cc(WP1,WP2):- \+ compound(WP1),!,WP2=WP1.
+make_unifiable_cc(N-WP1,N-_):- \+ is_list(WP1),!.
+make_unifiable_cc(N-WP1,N-WP2):- !, make_unifiable_cc(WP1,WP2).
+make_unifiable_cc([H|T],[HH|TT]):- !, make_unifiable_cc(H,HH),make_unifiable_cc(T,TT).
 make_unifiable_cc(cc(C,N),cc(_,N)):- is_real_color(C),!.
 make_unifiable_cc(cc(N,_),cc(N,_)):-!.
 make_unifiable_cc(oid(_),oid(_)):-!.
-make_unifiable_cc(recolor(_,N),recolor(_,N)):-!.
-make_unifiable_cc(iz(symmetry_type(N)),iz(symmetry_type(N))):- nonvar(N),!.
-make_unifiable_cc(pg(N,G,_,_),pg(N,UG,_,_)):-!,make_unifiable_cc(G,UG).
+make_unifiable_cc(recolor(N,_),recolor(N,_)):-!.
+make_unifiable_cc(iz(symmetry_type(N,_)),iz(symmetry_type(N,_))):-!.
+make_unifiable_cc(pg(_,G,M,_),pg(_,UG,M,_)):-!,make_unifiable_cc(G,UG).
 make_unifiable_cc(O,U):- make_unifiable(O,U).
 
 count_objs(B,O):- \+ is_list(B),!, O = 0.
@@ -1562,15 +1916,15 @@
 
 treeify_n_versions(StoredName,Title,UProp,[Prop|Versions],RRR,Missing,[(Prop->HAVESSTREE)|OUTS]):-
   my_partition(variant_member(Prop),RRR,HAVES,HAVENOTS),
-  my_maplist(variant_select(Prop),HAVES,HAVESS),
+  my_maplist(variant_select(Prop),HAVES,HAVESS),!,
   treeify_props(StoredName,HAVESS,HAVESSTREE),
   treeify_n_versions(StoredName,Title,UProp,Versions,HAVENOTS,Missing,OUTS),
-  maybe_unite_oids(StoredName,HAVES).
+  maybe_unite_oids(StoredName,HAVES),!.
  
 treeify_n_versions(_StoredName,_Title,_,    [],_,[],[]):-!.
 treeify_n_versions(StoredName,_Title,UProp,[],_,Missing,[((\+ (UProp)) ->MissingTREE)]):-
   treeify_props(StoredName,Missing,MissingTREE),
-  maybe_unite_oids(StoredName,Missing).
+  maybe_unite_oids(StoredName,Missing),!.
 
 any_to_oid(Obj,_):- \+ compound(Obj),!,fail.
 any_to_oid(_->Obj,OID):-any_to_oid(Obj,OID).
@@ -1579,10 +1933,10 @@
 
 maybe_unite_oids(StoredName,Missing):- compound(Missing), Missing = (_ -> List),!, maybe_unite_oids(StoredName,List).
 maybe_unite_oids(StoredName,Missing):-
-   arc_assert(is_objgrp(StoredName,Missing)),
+   assert_in_testid(is_objgrp(StoredName,Missing)),
    oids_from(Missing,OIDS),
    length(OIDS,N),
-   arc_assert(is_oidlist(StoredName,N,OIDS)),
+   assert_in_testid(is_oidlist(StoredName,N,OIDS)),
    pp(red,is_oidlist(StoredName,N,OIDS)).
 
 
@@ -1722,7 +2076,7 @@
 get_prior_labels(Objs,PriorsSetClean,AllPriors,PriorsWithCounts):- must_det_ll((is_list(Objs),
   findall(Named,(member(Obj,Objs),object_get_priors(Obj,Named)),AllPriorsL),
   append(AllPriorsL,AllPriors),
-  sort_safe(AllPriors,PriorsSet),
+  ssort(AllPriors,PriorsSet),
   my_partition(never_prior,PriorsSet,_Unused,PriorsSetClean),
   count_each(PriorsSetClean,AllPriors,PriorsWithCounts))).
 
@@ -1903,4 +2257,470 @@
    II = pg(OG,GType,ZType,N), 
    override_object([II],L,Obj),!.
 
+:- retractall(arc_cache:individuated_cache(_,_,_,_,_)).
+:- ignore(muarc:clear_all_caches).
+:- luser_setval(use_individuated_cache,false).
+
+
+
+read_terms_from_atom(D,Atom):-
+  open_string(Atom,Stream),
+  repeat,
+   read_term(Stream,D,[]),
+   ((D == end_of_file) -> !, fail ; true).
+
+%learn_ilp:- ensure_test(TestID),learn_ilp(TestID).
+learn_ilp(TestID):- 
+  ensure_test(TestID),
+  must_det_ll((
+    ensure_test(TestID),
+    %abolish(arc_test_properties/3), dynamic(arc_test_properties/3),
+    abolish(is_for_ilp/4), dynamic(is_for_ilp/4),
+    %compile_and_save_test(TestID),
+    individuate_all_pairs_from_hints(TestID),
+    with_individuated_cache(true, 
+     forall(kaggle_arc(TestID,ExampleNum,I,O),
+      must_det_ll(learn_ilp(TestID,ExampleNum,I,O)))),!,
+    listing(is_for_ilp/4),
+    dump_ilp_files(S))),
+    compute_scene_change(TestID),
+    must_det_ll(write_ilp_file(TestID,S,logicmoo_ex)),
+    solve_via_scene_change(TestID).
+
+:- dynamic(is_for_ilp/4).
+learn_ilp(TestID,ExampleNum,GridIn,GridOut):-  
+ ExampleNum = (trn+_),!,
+  must_det_ll((
+    set_example_num(ExampleNum),
+    individuate_pair(complete,GridIn,GridOut,InC,OutC),
+    into_ilp_int(ExampleNum,ExampleID),
+    assert_ilp(TestID,ExampleNum,liftcover_models,begin(model(ExampleID))),
+    maplist(make_ilp(TestID,ExampleNum,lhs),InC),
+    maplist(make_ilp(TestID,ExampleNum,rhs),OutC),!,
+    assert_ilp(TestID,ExampleNum,liftcover_models,end(model(ExampleID))),
+    assert_ilp(TestID,ExampleNum,liftcover_models,[]),
+    assert_ilp(TestID,ExampleNum,liftcover_models,[]),
+  !)).
+learn_ilp(TestID,ExampleNum,GridIn,GridOut):-  
+ ExampleNum = (tst+_),!,
+ must_det_ll((
+   set_example_num(ExampleNum),
+   individuate_pair(complete,GridIn,GridOut,InC,OutC),
+   into_ilp_int(ExampleNum,ExampleID),
+   assert_ilp(TestID,ExampleNum,_,"/*"),
+   assert_ilp(TestID,ExampleNum,liftcover_models,begin(model(ExampleID))),
+   maplist(make_ilp(TestID,ExampleNum,lhs),InC),
+   maplist(make_ilp(TestID,ExampleNum,rhs),OutC),!,
+   assert_ilp(TestID,ExampleNum,liftcover_models,end(model(ExampleID))),
+   assert_ilp(TestID,ExampleNum,_,"*/"))).
+
+into_ilp_int(Int,Int):- integer(Int),!.
+into_ilp_int(Example+Num,ExampleID):- % integer(Int).
+   atomic_list_concat([Example,Num],'_',ExampleID),!.
+
+assert_ilp(TestID,ExampleNum,File,Term):- ground(ExampleNum+File), clause_asserted(is_for_ilp(TestID,ExampleNum,File,Term)),!.
+assert_ilp(TestID,ExampleNum,File,Term):- pp(File=Term),!, 
+  assert_if_new(is_for_ilp(TestID,ExampleNum,File,Term)),!.
+
+safe_oid(OID,OOID):- atomic_list_concat(['o',_Glyph,Iv,_TV,_UUID,_Trn,Num,IO],'_',OID),
+                     atomic_list_concat(['obj',Num,Iv,IO],'_',OOID).
+
+
+%make_ilp(_TestID,Example+_Num,_LRSide,_Obj):- Example==tst,!.
+make_ilp(TestID,Example+Num,LRSide,Obj):-
+ must_det_ll((   
+   ExampleNum = Example+Num,
+   obj_to_oid(Obj,OIDUS),
+   safe_oid(OIDUS,OID),
+   %id_shape(SID,LPs),next_to_32(LPs,Shape),   
+   assert_ilp_object(TestID,ExampleNum,LRSide,Obj,OID,
+       [loc2D,rot2D,pen_color,rotSize2D(grav),vis2D,mass,iz(sid)]))).
+
+into_2arg( V1,V2,A2):- V2==true,!, A2 = V1.
+into_2arg(_V1,V2,A2):- V2==false,!, A2 = V2.
+into_2arg( V1,V2,hv(V1,V2)).
+
+ilp_object_props(_Obj,Props,OID,LRhs,iz(E),V,Pred):- append_term(E,V,P), member(iz(P),Props),!,
+   functor(P,EF,_), atomic_list_concat([LRhs,'iz',EF],'_',EFIZ), Pred=..[EFIZ,OID,V].
+ilp_object_props(_Obj,Props,OID,LRhs,iz(E),A2,Pred):- append_term(E,V1,P0), append_term(P0,V2,P), member(iz(P),Props),!,
+   functor(P,EF,_), atomic_list_concat([LRhs,'iz',EF],'_',EFIZ), Pred=..[EFIZ,OID,V1,V2],into_2arg(V1,V2,A2).
+ilp_object_props(_Obj,Props,OID,LRhs,(E),V,Pred):- E\=iz(_), append_term(E,V,P), member((P),Props),!,
+   functor(P,EF,_), atomic_list_concat([LRhs,EF],'_',EFIZ), Pred=..[EFIZ,OID,V].
+ilp_object_props(_Obj,Props,OID,LRhs,(E),A2,Pred):- E\=iz(_), append_term(E,V1,P0), append_term(P0,V2,P), member((P),Props),!,
+   functor(P,EF,_),atomic_list_concat([LRhs,EF],'_',EFIZ), Pred=..[EFIZ,OID,V1,V2],into_2arg(V1,V2,A2).
+ilp_object_props(Obj,_Props,OID,LRhs,(E),V,Pred):- E\=iz(_), append_term(E,Obj,P0),append_term(P0,V,P), call(P),!,
+  functor(P,EF,_), atomic_list_concat([LRhs,EF],'_',EFIZ),
+  append_term(E,OID,P1),append_term(P1,V,PredR),
+  PredR=..[_|PredL], Pred=..[EFIZ|PredL].
+
+
+pen_color(Obj,Color):- (pen(Obj,[cc(Color,_)])->true;(pen(Obj,PenInfo),Color=pen(PenInfo))),!.
+
+
+assert_ilp_object(TestID,ExampleNum,LRSide,Obj,OID,List):-
+ must_det_ll((
+   into_ilp_int(ExampleNum,ExampleID),
+   indv_props_list(Obj,Props),
+   if_t(LRSide==lhs, assert_ilp_typed(LRSide,TestID,ExampleNum,liftcover_models,lhs_peice(ExampleID,OID))),
+   if_t(LRSide==rhs, assert_ilp_typed(LRSide,TestID,ExampleNum,liftcover_models,rhs_peice(ExampleID,OID))),
+   maplist(ilp_object_props(Obj,Props,OID,LRSide),List,Args,PredS),
+   maplist(assert_ilp_typed(LRSide,TestID,ExampleNum,liftcover_models),PredS),
+   Side =..[LRSide,ExampleID|Args],
+   if_t(LRSide==rhs, assert_ilp_typed(LRSide,TestID,ExampleNum,exs,pos(Side))),
+   if_t(LRSide==lhs, assert_ilp_typed(LRSide,TestID,ExampleNum,bk,Side)))).
+
+next_to_32(I,O):- next_to_32s(I,M),atom_chars(O,M),!.
+next_to_32s([N32|Ints],[36|Rest]):- N32==10, !,next_to_32s(Ints,Rest),!.
+%next_to_32s([N32,N|Ints],[N|Rest]):- (N32==32;N32==109), number(N), N>31,N\==95,N<128,!,next_to_32s(Ints,Rest),!.
+%next_to_32s([N|Ints],Rest):- number(N),next_to_32s(Ints,Rest),!.
+next_to_32s([N|Ints],[N|Rest]):- number(N),next_to_32s(Ints,Rest),!.
+next_to_32s([],[]).
+next_to_32s(S,N32):- string(S),with_output_to(codes(Chars),write(S)),!,next_to_32s(Chars,N32).
+next_to_32s(S,N32):- into_grid(S,G),into_ngrid(G,SS),ngrid_to_sgrid(SS,SSS),
+ numbervars(SSS,999,_,[singletons(true)]),with_output_to(codes(Chars), write(SSS)),!,
+ next_to_32s(Chars,N32).
+
+assert_ilp_typed(LRSide,TestID,ExampleNum,File,Term):- 
+  ignore(remember_types(LRSide,TestID,Term)),
+  assert_ilp(TestID,ExampleNum,File,Term).
+
+remember_types(LRSide,TestID,pos(Term)):-!, remember_types(LRSide,TestID,Term).
+remember_types(LRSide,TestID,Term):-
+ must_det_ll((
+  compound_name_arguments(Term,F,Args),
+  compound_name_arity(Term,F,A),
+  atomic_list_concat(NameL,'_',F), reverse(NameL,NameR),
+  maplist(must_guess_types(LRSide,NameR,Term),Args,Types),
+  compound_name_arguments(TypeTerm,F,Types),
+  if_t(LRSide=rhs,assert_ilp(TestID,_,determination(0),output(F/A))),
+  if_t(LRSide=lhs,assert_ilp(TestID,_,determination(1),input_cw(F/A))),
+  if_t(LRSide=rhs,assert_ilp(TestID,_,determination(2),modeh(*,TypeTerm))),
+  if_t(LRSide=lhs,assert_ilp(TestID,_,determination(3),modeb(*,TypeTerm))),
+  !)).
+
+must_guess_types(LRSide,NameR,Term,Args,Types):- must_det_ll(guess_types(LRSide,NameR,Term,Args,Types)).
+
+guess_types(_,[peice|_],T,A,+peice):- arg(2,T,O),A==O,!.
+guess_types(_,[peice|_],_,_,+scope):-!.
+guess_types(_,_,T,A,+peice):- arg(1,T,O),A==O,!.
+guess_types(_,[mass|_],_,_,nat900).
+guess_types(_,_,_,Arg,+nat30):- integer(Arg),between(1,30,Arg),!.
+guess_types(_,_,_,Arg,+(#(color))):- is_color(Arg),!.
+%guess_types(_,_,_,Arg,+pred2):- atom(Arg),!.
+%guess_types(_,_,_,Arg,+unknown(Arg)): -compound(Arg).
+guess_types(lhs,[Type|_],_,_Arg,-Type).
+guess_types(rhs,[Type|_],_,_Arg,+Type).
+
+ngrid_to_sgrid(SS,SSS):- mapgrid(into_sarg,SS,SSS).
+into_sarg(A,A):- \+ compound(A),!.
+into_sarg(A-fg,A):-!.
+into_sarg(_-bg,bg):-!.
+into_sarg(A,A).
+
+dump_ilp_files:- dump_ilp_files(_).
+dump_ilp_files(S):-
+ must_det_ll((
+   get_current_test_atom(TestAtom),
+   if_t(var(S),sformat(S,'out/ilp/~w',[TestAtom])),
+   make_directory_path(S),
+   write_ilp_file(TestID,S,bias),
+   write_ilp_file(TestID,S,bk),
+   write_ilp_file(TestID,S,exs),!,
+   write_ilp_file(TestID,S,metagol_ex),!,
+   write_ilp_file(TestID,S,input),!,
+   write_ilp_file(TestID,S,foil_ex),!,
+   write_ilp_file(TestID,S,liftcover_ex),!,
+   wdmsg(ls(S)),
+   ls(S))).
+
+write_ilp_file(TestID,Dir,Bias):-
+  sformat(S,'~w/~w.pl',[Dir,Bias]),
+  setup_call_cleanup(open(S,write,Out,[]),
+     forall(get_is_for_ilp(TestID,_,Bias,Term),
+      output_term(Out,Term)),
+    close(Out)).
+
+:- op(500,yf,in_cmt).
+
+output_term(_,Nil):- var(Nil),!.
+output_term(_,Nil):- Nil==[],!,nl.
+output_term(_, (:- Nil)):- Nil==[],!,nl.
+output_term(_, (:- Nil)):- var(Nil),!.
+output_term(Out,Term):- \+ ground(Term),!, 
+  \+ \+ (numbervars(Term,15,_,[singletons(true)]),!,output_term(Out,Term)).
+
+output_term(Out,(:- Term)):- string(Term),!,format(Out,'~N~w~n',[Term]).
+output_term(Out,Term):- string(Term),!,format(Out,'~N~w~n',[Term]).
+output_term(Out, :- (Term in_cmt)):- format(Out,'~N% :- ~q. ~n',[Term]).
+output_term(Out,Term in_cmt):- format(Out,'~N% ~q. ~n',[Term]).
+output_term(Out,Term):- format(Out,'~N~q. ~n',[Term]).
+
+get_is_for_ilp(_,_,input, :-(D) ):- 
+   member(D,
+     [
+        (style_check(-discontiguous)),
+        (use_module(library(aleph))),
+        (if(current_predicate(use_rendering/1))),
+        (use_rendering(prolog)),
+        (endif),
+        [],
+        (aleph_set(verbosity, 1)),
+        (aleph_set(interactive, false)),
+        (aleph_set(i,4)),
+        (aleph_set(nodes,10000)),
+        [],
+        (aleph),
+        []]),
+   D\==[].
+
+
+get_is_for_ilp(_,_,input, :-(D) ):- get_is_for_ilp(_,_,determination, D ).
+
+get_is_for_ilp(TestID,common,logicmoo_ex,accompany_changed(TestID,P,Same)):- 
+  is_accompany_changed_db(TestID,P,Same).
+
+
+get_is_for_ilp(_,_,liftcover_ex,D):- read_terms_from_atom(D, '
+
+:-use_module(library(slipcover)). 
+:-if(current_predicate(use_rendering/1)). 
+:-use_rendering(prolog). 
+:-endif. 
+:-sc. 
+
+:- set_sc(verbosity,3).
+:- set_sc(depth_bound,false).
+:- set_sc(neg_ex,given).
+
+bg([]).
+
+in([]).
+
+input_cw(incr_nat30/2).
+input_cw(color_change/2).
+
+
+determination(OF/OA,IF/IA):-
+  input_cw(IF/IA),output(OF/OA).
+
+  
+
+fold(trn_0,[trn_0]).
+fold(trn_1,[trn_1]).
+fold(trn_2,[trn_2]).
+
+').
+
+get_is_for_ilp(_,_,liftcover_ex,D):-get_is_for_ilp(_,_,determination, D ).
+
+get_is_for_ilp(_,_,determination, D ):- 
+   member(D,
+     [
+        modeh(*,rhs(+state,+nat30,+nat30,+color,+nat30,+nat30,+rotation,+nat900,+shape,+list))  in_cmt,
+        modeb(*,lhs(+state,+nat30,+nat30,#(color),+nat30,+nat30,+rotation,+nat900,+shape,+list))  in_cmt,
+        modeb(*,my_geq(+nat30,-#(nat30))) in_cmt,
+        modeb(*,my_leq(+nat30,-#(nat30))) in_cmt,
+        modeb(*,my_add(+nat30,+nat30,-nat30)) in_cmt,
+        modeb(*,my_mult(+nat30,#(nat30),-nat30))  in_cmt,
+
+        [],
+        (lazy_evaluate(my_add/3)) in_cmt,
+        (lazy_evaluate(my_geq/2)) in_cmt,
+        (lazy_evaluate(my_leq/2)) in_cmt,
+        (lazy_evaluate(my_mult/3)) in_cmt,
+        [],
+        determination(rhs/7,lhs/7) in_cmt,
+        determination(rhs/7,color_change/2) in_cmt,
+        determination(rhs/7,incr_nat30/2) in_cmt,
+        determination(rhs/7,my_geq/2) in_cmt,
+        determination(rhs/7,my_leq/2) in_cmt,
+        determination(rhs/7,my_add/3) in_cmt,
+        determination(rhs/7,my_mult/3) in_cmt,
+
+        []]),
+   D\==[].
+
+get_is_for_ilp(A,B,input, D ):- get_is_for_ilp(A,B,bias,D).
+get_is_for_ilp(A,B,input, D ):- ((D = (:-begin_bg));get_is_for_ilp(A,B,bk,D);(D = (:-end_bg))).
+get_is_for_ilp(A,B,input, D ):- ((D = (:-begin_in_pos));get_is_for_ilp(A,B,exs,D);(D = (:-end_in_pos))).
+
+get_is_for_ilp(A,B,metagol_ex, D ):- get_is_for_ilp(A,B,bias,D).
+get_is_for_ilp(A,B,metagol_ex, D ):- get_is_for_ilp(A,B,bk,D).
+get_is_for_ilp(A,B,metagol_ex, D ):- get_is_for_ilp(A,B,exs,D).
+
+%get_is_for_ilp(A,B,liftcover_ex, D ):- get_is_for_ilp(A,B,input, D ).
+get_is_for_ilp(A,B,foil_ex, D ):- get_is_for_ilp(A,B,input, D ). 
+
+get_is_for_ilp(_,_,bias,D):- 
+   member(D,
+  [ (:-style_check(-discontiguous)),
+    max_body(6),
+    max_vars(8),
+    non_magic(4),
+    %enable_pi,
+    head_pred(rhs,7)  in_cmt,
+    body_pred(lhs,7)  in_cmt,
+    body_pred(child,2) in_cmt,
+ /* 
+    body_pred(cenGX,2),
+    body_pred(cenGY,2),
+    body_pred(mass,2),
+    body_pred(color,2),
+    body_pred(medium,1),
+    body_pred(large,1),
+    body_pred(position,3),
+    body_pred(rotation,2),
+    body_pred(traits,2),
+    body_pred(contact,2),*/
+    %:- clause(C), #count{V : clause_var(C,V),var_type(C,V,ex)} != 1,
+    body_pred(incr_nat30_by,3) in_cmt,
+    body_pred(incr_nat30,2),
+    body_pred(color_change,2),    
+    body_pred(my_add,3), 
+    body_pred(my_geq,2), 
+    body_pred(my_leq,2),
+    body_pred(my_mult,3),
+    bounds(my_add,1,(0,29)),
+    bounds(my_geq,1,(1,30)),
+    bounds(my_leq,1,(1,30)),
+    bounds(my_mult,1,(1,10)),
+    direction(color_change,(out,out)) in_cmt, 
+    direction(incr_nat30,(out,out)) in_cmt,
+    direction(my_add,(in,in,out)) in_cmt,
+    direction(my_geq,(in,out)) in_cmt,
+    direction(my_leq,(in,out)) in_cmt,
+    direction(my_mult,(in,out,in)) in_cmt,
+/*
+    direction(large,(out)),
+    direction(medium,(out)),
+    direction(small,(out)),
+
+    direction(cenGX,(in,out)),
+    direction(cenGY,(in,out)),
+    direction(child,(in,out)),
+    direction(color,(in,out)),
+    direction(contact,(in,out)),
+    direction(orientation,(in,out)),
+    direction(piece,(in,out)),
+    direction(position,(in,out,out)),
+    direction(rotation,(in,out)),
+    direction(size,(in,out)),
+*/
+    type(my_add,(nat30, nat30, nat30)),
+    type(my_mult,(nat30, nat30, nat30)),
+    type(my_geq,(nat30,nat30)),
+    type(my_leq,(nat30,nat30)),
+    type(incr_nat30,(nat30,nat30)),
+    type(color_change,(color,color)),
+    
+   /* 
+    type(large,(nat30)),
+    type(medium,(nat30)),
+    type(small,(nat30)),*/
+    %    ExampleID, OID,   X,      Y,Color,SH,SV,RotG,Size,Shape
+ 
+    direction(rhs,(in,in,in,in,in,in,in,in,in,in)) in_cmt,
+    type(rhs,(state,loc2D,rot2D,color,vis2D,rotSize2D,nat900,shape)),
+    direction(lhs,(out,out,out,out,out,out,out,out,out,out)) in_cmt,
+    type(lhs,(state,loc2D,rot2D,color,vis2D,rotSize2D,nat900,shape)),
+
+    /*
+    type(cenGX,(piece,nat30)), type(cenGY,(piece,nat30)),
+    type(color,(piece,color)),
+    type(orientation,(piece,orientation)),
+    type(rotation,(piece,rotation)),
+    type(piece,(state,piece)),
+    type(position,(piece,nat30,nat30)),    
+    type(mass,(piece,nat900)),
+    type(contact,(piece,piece)),
+    type(child,(piece,piece)),
+    
+    */
+    %type(incr_nat30_by,(nat30,nat30,nat30)),
+    %magic_value(rhs,1),
+    %magic_value(rhs,2),
+    %magic_value(rhs,3),
+    %magic_value(rhs,4),
+    %magic_value(rhs,5),
+    %magic_value(rhs,6),
+    %magic_value_all,
+    %magic_value_type(color),
+    %magic_value_type(nat30),
+    %magic_value_type(nat900),
+    %magic_value_type(piece),
+    %magic_value_type(shape),    
+    magic_type(color),
+    magic_type(nat30),
+    magic_value_type(color),
+    magic_value_type(nat30),
+    numerical_pred(my_add,3),
+    numerical_pred(my_geq,2),
+    numerical_pred(my_leq,2),
+    numerical_pred(my_mult,3),
+
+
+    []]).
+
+get_is_for_ilp(_,_,bk,D):- 
+   member(D,
+   [ %(:- dynamic contact/2), large(10), medium(5),small(1),
+    (:- use_module(library(clpfd))),
+    (incr_nat30(A,B) :- B #= A + 1),
+    (color_change(_,_)),
+    (my_geq(A,B) :- nonvar(A), nonvar(B), !, A>=B),    
+    (my_leq(A,B) :- nonvar(A), nonvar(B), !, A= 1,
+    X2 #= X1 - 1.
+
+down(hv(X,Y1),hv(X,Y2)):-
+    size(Size),
+    Y1 #< Size,
+    Y2 #= Y1 + 1.
+
+up(hv(X,Y1),hv(X,Y2)):-
+    Y1 #> 1,
+    Y2 #= Y1 - 1.
+
+').
+
+
+get_is_for_ilp(A,B,determination, D ):- get_is_for_ilp(A,B,determination(0), D ).
+get_is_for_ilp(A,B,determination, D ):- get_is_for_ilp(A,B,determination(1), D ).
+get_is_for_ilp(A,B,determination, D ):- get_is_for_ilp(A,B,determination(2), D ).
+get_is_for_ilp(A,B,determination, D ):- get_is_for_ilp(A,B,determination(3), D ).
+get_is_for_ilp(A,B,determination, D ):- get_is_for_ilp(A,B,determination(4), D ).
+get_is_for_ilp(A,B,liftcover_ex, D ):- get_is_for_ilp(A,B,bk, D ).
+get_is_for_ilp(A,B,liftcover_ex,D):- is_for_ilp(A,B,liftcover_models,D).
+get_is_for_ilp(A,B,C,D):- is_for_ilp(A,B,C,D).
+
+
+
+
 
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_recognise.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_recognise.pl
index 2bb21b8c79..5f310e6b17 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_recognise.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_recognise.pl
@@ -515,8 +515,8 @@
 maybe_ogs_test_i(In):- maybe_ogs_test_j(I),(maybe_if_changed(trim_to_rect,I,In);In=I),mass(In,Mass),Mass>0.
 maybe_ogs_test_j(In):- enum_object(O),global_grid(O,In).
 maybe_ogs_test_j(In):- maybe_ogs_test_p(In).
-maybe_ogs_test_p(In):- current_pair(I,O),grid_minus_grid(I,O,In).
-maybe_ogs_test_p(In):- current_pair(I,O),mapgrid(cell_minus_cell,O,I,In).
+maybe_ogs_test_p(In):- current_pair_io(I,O),grid_minus_grid(I,O,In).
+maybe_ogs_test_p(In):- current_pair_io(I,O),mapgrid(cell_minus_cell,O,I,In).
 maybe_ogs_test_p(Out):- current_test_example(X,Y),into_grid(X>Y*_,Out).
 maybe_ogs_test_o(Out):- get_current_test(TestID), kaggle_arc(TestID,_,_,Out), \+ maybe_ogs_test_p(Out).
 maybe_ogs_test_o(Out):- maybe_ogs_test_p(Out).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_reduce.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_reduce.pl
index 43af827658..102f888e82 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_reduce.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_reduce.pl
@@ -183,7 +183,7 @@
 
 reduce_1op(_Type,Len1,Half1,PassNo,GridIn, make_solid_object(Rect,H,V),OUT):-  GridIn = [Row1|GridR], my_maplist(=@=(Row1),GridR),
   Row1= [C1|Row], my_maplist(=@=(C1),Row), grid_size(GridIn,H,V), once(H > 1 ; V > 1),!,
-    (H==V->(Rect=square,OUT=[[C1]]);(H>V->(Rect=rect,OUT=[[C1]]);(Rect=rect,OUT=[[C1]]))).
+    (H==V->(Rect=square,OUT=[[C1]]);(H>V->(Rect=rect,OUT=[[C1,C1]]);(Rect=rect,OUT=[[C1],[C1]]))).
 
 
 reduce_1op(_Type,Half,Len,_,[Row1|Grid],copy_row_ntimes(1,Times),[Row1]):- 
@@ -547,7 +547,8 @@
 %b_grid_to_norm(I,OUT):- b_grid_to_norm(Op,I,OO),OUT=(OO-w(Op)).
 %b_grid_to_norm(Op,I,O):- Op==[],!,I=O.
 %b_grid_to_norm(Op,IO,IIOO):-  compound(IO),IO=(I^O),b_grid_to_norm(Op,I,II),!,Op\==[],b_grid_to_norm(Op2,O,OO),!,Op=Op2,IIOO=II^OO.
-normalize_grid(Op,I,GOO):-   
+normalize_grid(OpRot,I,GOO):- grav_rot(I,R1,M),I\=@=M,!,normalize_grid(Op,M,GOO),append(Op,[R1],OpRot).
+normalize_grid(R2Op,I,GOOP):-   
  must_det_ll((
   debug_c(reduce,writeg(normalize_grid=I)),
   protect_vars(I,III,How),
@@ -559,7 +560,10 @@
   call(How,COp,Op),
   call(How,COO,OO),
   mapgrid(fix_bg(Which),OO,GOO),
-  debug_c(reduce,writeg([un_reduce_grid=OO,un_cop=Op])))).
+  debug_c(reduce,writeg([un_reduce_grid=OO,un_cop=Op])),
+  grav_rot(GOO,R2,GOOP),
+  ((R2==sameR->R2Op=Op;R2Op=[R2|Op])))).
+
 
 fix_bg(Which,OO,X):- fail, Which=@=OO,!,freeze(X,X\=(_,_)).
 %fix_bg(Which,OO,_):-OO=fg,!.
@@ -588,15 +592,24 @@
 reverse_op(I,R):- reverse(I,R),!.
 reverse_op(I,[I]).
 
-reduce_grid_pair1(AB,OPS,ARBR):- \+ ground(AB), 
+contains_numberedvars(AB):- \+ \+ (sub_term(E,AB),compound(E), E='$VAR'(_)).
+
+
+reduce_grid_pair1(AB,OPS,ARBR):- fail,  \+ ground(AB),  
+ \+ contains_numberedvars(AB+OPS),
  must_det_ll((
-  protect_vars(AB,ABC,How),
-  my_assertion(ground(ABC)),  
-  reduce_grid_pair111(ABC,OPSP,ARBRP),
-  call(How,OPSP+ARBRP,OPS+ARBR),
-  nop((my_assertion((\+ (sub_term(E,OPS+ARBR),compound(E), E='$VAR'(_)))))))).
+  protect_vars(AB,ABC,Unprotect),
+  my_assertion(ground(ABC)))),
+ reduce_grid_pair2(ABC,OPSP+ARBRP),
+ must_det_ll((
+  call(Unprotect,OPSP+ARBRP,OPS+ARBR),
+  my_assertion((\+ contains_numberedvars(AB+ARBR))))),!.
+
+reduce_grid_pair1(AB,OPS,ARBR):- reduce_grid_pair2(AB,OPS,ARBR).
 
-reduce_grid_pair1(AB,OPS,ARBR):- reduce_grid_pair111(AB,OPS,ARBR),!.
+reduce_grid_pair2(AB,OPS,ARBR):- 
+  %my_assertion(ground(AB)),
+  rrd_call(reduce_grid_pair111(AB,OPS,ARBR)),!.
 
 reduce_grid_pair111(A^B,ROPA,AR^BR):-
   once((reduce_grid_pass(1,A^A,[A^A],ROPA,AR^AR),
@@ -645,7 +658,7 @@
    reductions_from_two(OPS,G1,G2,G1R,G2R).
 
 
-reductions(GL,OPS,REDUCE):- into_grid_list(GL,List), reductions1(List,OPS,REDUCE),!.
+reductions(GL,OPS,REDUCE):- into_grid_list(GL,List),!, fail_over_time(6, reductions1(List,OPS,REDUCE)),!.
 %reductions([A,B],OPS,[AA,BB]):- !, reductions_from_two(OPS,A,B,AA,BB).
 reductions1(List,[Reduce|OPS],REDUCE):-
    select(G1,List,Rest0),select(G2,Rest0,Rest),
@@ -656,23 +669,28 @@
 
 reduce_two(G1,G2,Reduce,G1R,G2R):- reductions_from_two(Reduce,G1,G2,G1R,G2R).
 
-reductions_from_two(Reduce,G1,G2,G1R,G2R):- one_reduction1(Reduce,G1,G2,G1R,G2R).
+reductions_from_two(Reduce,G1,G2,G1R,G2R):- one_reduction1(Reduce,G1,G2,G1R,G2R),!.
 reductions_from_two(r_c(Reduce),G1,G2,G1RR,G2RR):- rot90(G1,G1R),rot90(G2,G2R),one_reduction1(Reduce,G1R,G2R,G1RR,G2RR),!,Reduce\==[].
 reductions_from_two(c_r(Reduce),G1,G2,G1RR,G2RR):- rot270(G1,G1R),rot270(G2,G2R),one_reduction1(Reduce,G1R,G2R,G1RR,G2RR),!,Reduce\==[].
 
+rrd_up:- flag('$reduction_recursion_depth',X,X+1).
+rrd_down:- flag('$reduction_recursion_depth',X,X-1).
+rrd_ok:- flag('$reduction_recursion_depth',X,X),X<100.
+%rrd_call(Goal):- !, call(Goal).
+rrd_call(Goal):- scce_orig(rrd_up,(rrd_ok,Goal),rrd_down).
+one_reduction1(OP,G1,G2,G1R,G2R):- rrd_call(one_reduction11(OP,G1,G2,G1R,G2R)).
+one_reduction11(Reduce,G1,G2,G1R,G2R):- var(Reduce),!,reduce_grid_pair1(G1^G2,Reduce,G1R^G2R),!.
+one_reduction11(OP,G1,G2,G1R,G2R):- nonvar(OP),OP\==[],!,one_reduction3(OP,G1,G1R),!,(G2=@=G1->G2R=G1R ; one_reduction2(OP,G2,G2R)).
 
-one_reduction1(OP,G1,G2,G1R,G2R):- nonvar(OP),OP\==[],!,one_reduction1(OP,G1,G1R),!,(G2=@=G1->G2R=G1R ; one_reduction2(OP,G2,G2R)).
-one_reduction1(Reduce,G1,G2,G1R,G2R):- var(Reduce),reduce_grid_pair1(G1^G2,Reduce,G1R^G2R).
-
-one_reduction2(OP,G1,G1R):- one_reduction1(OP,G1,G1R).
+one_reduction2(OP,G1,G1R):- one_reduction3(OP,G1,G1R).
 
-%one_reduction1(OP,G=Var,GG):- var(Var),!, one_reduction1(OP,G,GG).
-one_reduction1([],G1,G1R):- !, G1=G1R.
-one_reduction1(OPS,G1,G1RR):- nonvar(OPS), OPS=[OP|OPL], !, one_reduction1(OP,G1,G1R),
-  one_reduction1(OPL,G1R,G1RR).
-one_reduction1(reversed(OP),G1,G1R):-!, one_reduction1(OP,G1,G1R).
-one_reduction1(OP^OP,G1,G1R):-!,one_reduction1(OP,G1,G1R).
-one_reduction1((OP),G1,G1R):-!, grid_call(OP,G1,G1R). % dmsg(one_reduction1(OP,G1,G1R)).
+%one_reduction1(OP,G=Var,GG):- var(Var),!, onae_reduction1(OP,G,GG).
+one_reduction3(OP,G,GG):- var(OP),!,throw(var_one_reduction3(OP,G,GG)).
+one_reduction3(Nil,G1,G1R):- Nil==[],!, G1=G1R.
+one_reduction3(OPS,G1,G1RR):- nonvar(OPS), OPS=[OP|OPL], !, one_reduction3(OP,G1,G1R),one_reduction3(OPL,G1R,G1RR).
+one_reduction3(reversed(OP),G1,G1R):-!, one_reduction3(OP,G1,G1R).
+one_reduction3(OP^OP2,G1,G1R):- OP==OP2,!,one_reduction3(OP,G1,G1R).
+one_reduction3((OP),G1,G1R):-!, grid_call(OP,G1,G1R). % dmsg(one_reduction1(OP,G1,G1R)).
 
 
 %reduce_grid(A^B,OPA^OPB,AA^BB):- A\=@=B,nth1(N,A,EA,A0),my_maplist(=(_),EA),nth1(N,B,EB,B0),EA=@=EB,reduce_grid(A0^B0,OPA^OPB,AA^BB).
@@ -687,7 +705,9 @@
     reduce_grid_pass(PassNo,GridR,[GridR|NBC],More,Reduced),!.
 reduce_pair_op(_,NR,_,[],NR):-!.
 
-test_reduce_grid(Grid,GridO):- reduce_grid(Grid,Ops,GridO),unreduce_grid(GridO,Ops,Unred),show_sf_if_lame(Ops,Unred,Grid).
+test_reduce_grid(Grid,GridO):- 
+ reduce_grid(Grid,Ops,GridO),
+  unreduce_grid(GridO,Ops,Unred),show_sf_if_lame(Ops,Unred,Grid).
 
 
   
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_symmetry.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_symmetry.pl
index e6b6f9c3e8..1dc666274f 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_symmetry.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_symmetry.pl
@@ -826,7 +826,7 @@
 blur_mix(fg). blur_mix(bg). blur_mix(not_color(Black)):- get_black(Black).
 
 cv(FG,OC):- once(FG==fg;OC==fg;FG==bg;OC==bg),!.
-cv(FG,OC):- FG=OC,!.
+cv(FG,OC):- \+ FG \= OC,!.
 cv(_,_).
 
 mix_cellr(Mix,I,M,O):- mix_cell(Mix,M,I,O).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_favs.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_favs.pl
index 1c2ab87f3d..46d78120da 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_favs.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_favs.pl
@@ -14,22 +14,75 @@
 
 fav(v('p'),[dmiles]).
 
-fav(v('37d3e8b2'), 
- human_coded(
+fav(v('37d3e8b2'),
+ human(
    rule(links_count(contains,1),subst_color(fg,blue)),
    rule(links_count(contains,2),subst_color(fg,red)),
    rule(links_count(contains,3),subst_color(fg,green)),
    rule(links_count(contains,4),subst_color(fg,yellow)))).
+fav(v('37d3e8b2'),
+  indiv_h(colormass)).
+
+
+fav(v('0a2355a6'),
+ human(
+   rule(links_count(contains,1),subst_color(fg,blue)),
+   rule(links_count(contains,2),subst_color(fg,green)),
+   rule(links_count(contains,3),subst_color(fg,red)),
+   rule(links_count(contains,4),subst_color(fg,yellow)))).
+fav(v('0a2355a6'),
+  indiv_h(colormass)).
+
 
 fav(t('ea32f347'), 
- human_coded(
-   rule(pg(_,RANK1,_,1),subst_color(fg,blue)),
+ human(
+   rule(pg(_,RANK1,_,1),subst_color(fg,red)),
    rule(pg(_,RANK1,_,2),subst_color(fg,yellow)),
-   rule(pg(_,RANK1,_,3),subst_color(fg,red)) )):-
-      RANK1 = mass(_)
-      .
+   rule(pg(_,RANK1,_,3),subst_color(fg,blue)) )):-
+      RANK1 = mass(_).
+fav(v('ea32f347'),
+  indiv_h(colormass)).
+
+
+fav(t('a61f2674'), 
+ human(
+   rule(pg(_,RANK1,_,_),subst_color(fg,black)),
+   rule(pg(_,RANK1,_,1),subst_color(fg,red)),
+   rule(pg(N,RANK1,_,N),subst_color(fg,blue)) )):-
+      RANK1 = mass(_).
+fav(v('0a2355a6'),
+  indiv_h(colormass)).
   
 
+fav(v('b230c067'), 
+ human(
+   rule(pg(_,RANK1,_,_),subst_color(fg,black)),
+   rule(pg(_,RANK1,_,1),subst_color(fg,red)),
+   rule(pg(N,RANK1,_,N),subst_color(fg,blue)) )):-
+      RANK1 = mass(_).
+fav(v('b230c067'),
+  indiv_h(colormass)).
+
+
+
+fav(t('25d487eb'), 
+ human(
+   rule(from(mass(1),color(C)),
+     rule(from(iz(symmetry_type(sym_h_xor_v,true)),top(Point)),
+       shoot(Point,C))))).
+fav(t('25d487eb'),
+  indiv_h(colormass)).
+
+
+fav(t('f8b3ba0a'), 
+ human(
+   use_output_predictor,
+   rule(from(pg(_,RANK1,_,2),color(Color2)),subst_color(fg,Color2)),
+   rule(from(pg(_,RANK1,_,3),color(Color3)),subst_color(fg,Color3)),
+   rule(from(pg(_,RANK1,_,4),color(Color4)),subst_color(fg,Color4)))):-
+     RANK1 = mass(_).       
+fav(t('f8b3ba0a'),
+  indiv_h(colormass)).
 
 
 %~ (save_supertest(v('00576224'),'muarc_cache/00576224.ansi.pl'))
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_iface.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_iface.pl
index d187225725..1224846af4 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_iface.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_iface.pl
@@ -515,7 +515,7 @@
   check_for_refreshness,
   nop(show_test_grids), set_flag(indiv,0),
   compile_and_save_test,
-  with_luser(use_individuated_cache,true,
+  with_individuated_cache(true,
    with_pair_mode(whole_test,
     findall(PairGroups,
     (kaggle_arc(TestID,ExampleNum,In,Out),%nonvar(Out),
@@ -531,7 +531,7 @@
   nop(show_test_grids), set_flag(indiv,0),
   compile_and_save_test,
   findall(PairGroups,
-  with_luser(use_individuated_cache,true,
+  with_individuated_cache(true,
     (with_test_pairs(TestID,ExampleNum,In,Out,
          once(each_ndividuator(TestID,ExampleNum,In,Out,PairGroups))))),
    AllPairGroups),
@@ -549,7 +549,7 @@
 
 each_ndividuator(TestID,ExampleNum,In,Out, OUTPUT):- 
  name_the_pair(TestID,ExampleNum,In,Out,PairName), 
- findall(pair_result(PairName,Complete,InC,OutC),
+ findall(show_pair_result(PairName,Complete,InC,OutC),
   (get_each_ndividuator(Complete),
    with_indivs_mode(Complete,((
     with_test_pairs(TestID,ExampleNum,In,Out, 
@@ -561,10 +561,10 @@
         print_side_by_side(each_ndividuator(PairName),In,Out),dash_chars,dash_chars|PairGroups].
 
 
-pair_result(PairName,Complete,InC,OutC):-   
-   print_side_by_side(pair_result(PairName,Complete),InC,OutC),
-   w_section(pair_result_objects(PairName,Complete),
-     (my_maplist(show_i(in),InC), dash_chars, my_maplist(show_i(out),OutC),dash_chars)),
+show_pair_result(PairName,Complete,InC,OutC):-   
+   print_side_by_side(show_pair_result(PairName,Complete),InC,OutC),
+   nop((w_section(pair_result_objects(PairName,Complete),
+     (my_maplist(show_i(in),InC), dash_chars, my_maplist(show_i(out),OutC),dash_chars)))),
    !.
 
 show_i(Y,O):- 
@@ -576,17 +576,18 @@
 
 ndividuator(TestID):- ensure_test(TestID),
   never_entire_suite,nop(show_test_grids), set_flag(indiv,0),
-  each_ndividuator(TestID),
-  with_test_pairs(TestID,ExampleNum,In,Out,ndividuator(TestID,ExampleNum,In,Out)).
+  %each_ndividuator(TestID),
+  forall(with_test_pairs(TestID,ExampleNum,In,Out,ndividuator(TestID,ExampleNum,In,Out)),true).
 
-ndividuator(TestID,ExampleNum,In,Out):- get_indivs_mode(Complete), ndividuator(TestID,ExampleNum,Complete,In,Out).
+ndividuator(TestID,ExampleNum,In,Out):- 
+ get_indivs_mode(Complete), ndividuator(TestID,ExampleNum,Complete,In,Out).
 ndividuator(TestID,ExampleNum,Complete,In,Out):-  
  with_indivs_mode(Complete,((name_the_pair(TestID,ExampleNum,In,Out,_PairName),
-  with_test_pairs(TestID,ExampleNum,In,Out, i_pair(Complete,In,Out))))).
+   with_test_pairs(TestID,ExampleNum,In,Out, i_pair(Complete,In,Out))))).
 
 show_test_pairs(TestID):- ensure_test(TestID), set_flag(indiv,0),
-  with_test_pairs(TestID,ExampleNum,In,Out,
-   print_side_by_side(green,In,in(show_test_pairs(TestID>ExampleNum)),_,Out,out(show_test_pairs(TestID>ExampleNum)))).
+ forall( with_test_pairs(TestID,ExampleNum,In,Out,
+   print_side_by_side(green,In,in(show_test_pairs(TestID>ExampleNum)),_,Out,out(show_test_pairs(TestID>ExampleNum)))), true).
 %show_test_grids:- get_current_test(TestID),set_flag(indiv,0),with_test_grids(TestID,Grid,print_grid(show_test_grids(TestID),Grid)).
 
 
@@ -701,7 +702,7 @@
 for_each(Gen,Goal):-
   Gen,(Goal*->true;true).
 
-with_test_pairs(TestID,ExampleNum,I,O,P):-
+with_test_pairs(TestID,ExampleNum,I,O,P):- 
  for_each((test_pairs(TestID,ExampleNum,I,O)),
   my_menu_call((
     ensure_test(TestID),
@@ -1183,22 +1184,29 @@
 
 some_current_example_num(_):- get_pair_mode(whole_test), !.
 some_current_example_num(_):- get_pair_mode(entire_suite), !.
-some_current_example_num(TrnN):- foc_current_example_num(TrnN).
+some_current_example_num(ExampleNum):- foc_current_example_num(ExampleNum).
 
-foc_current_example_num(TrnN):- get_example_num(TrnN),!.
-foc_current_example_num(TrnN):- TrnN = trn+0, set_example_num(TrnN),!.
-foc_current_example_num(TrnN):- ignore(get_example_num(TrnN)),set_example_num(TrnN),!.
+foc_current_example_num(ExampleNum):- get_example_num(ExampleNum),!.
+foc_current_example_num(ExampleNum):- ExampleNum = trn+0, set_example_num(ExampleNum),!.
+foc_current_example_num(ExampleNum):- ignore(get_example_num(ExampleNum)),set_example_num(ExampleNum),!.
 
 
 current_test_example(TestID,ExampleNum):- get_current_test(TestID),
-  must_det_ll(first_current_example_num(ExampleNum)).
+  (get_example_num(ExampleNum) -> true ; must_det_ll(first_current_example_num(ExampleNum))).
 
-get_example_num(TrnN):- \+ arc_html, nb_current(example,TrnN),ground(TrnN),TrnN\==[],!.
-get_example_num(TrnN):- luser_getval(example,TrnN),ground(TrnN),TrnN\==[],!.
+get_example_num(ExampleNum):- \+ arc_html, nb_current(example,ExampleNum),ground(ExampleNum),ExampleNum\==[],!.
+get_example_num(ExampleNum):- luser_getval(example,ExampleNum),ground(ExampleNum),ExampleNum\==[],!.
 
-set_example_num(TrnN):- luser_setval(example,TrnN).
+set_example_num(_ > ExampleNum):- nonvar(ExampleNum), !, set_example_num(ExampleNum).
+set_example_num(ExampleNum * _):- nonvar(ExampleNum), !, set_example_num(ExampleNum).
+set_example_num(Trn+N):- nonvar(Trn),!,luser_setval(example,Trn+N).
+set_example_num(Atom):- must_det_ll((testid_name_num_io(Atom,_TID,Trn,N,_IO),luser_setval(example,Trn+N))),!.
 
-first_current_example_num(TrnN):- some_current_example_num(TrnN),ground(TrnN),TrnN\==[],get_current_test(TestID),kaggle_arc(TestID,TrnN,_,_),!.
+tid_to_id((TID>(Trn+Num)*IO),(TID>(Trn+Num)*IO)).
+tid_to_id(Atom,(TID>(Trn+Num)*IO)):- testid_name_num_io(Atom,TID,Trn,Num,IO),!.
+
+first_current_example_num(TrnN):- some_current_example_num(TrnN),ground(TrnN),TrnN\==[],
+  get_current_test(TestID),kaggle_arc(TestID,TrnN,_,_),!.
 first_current_example_num(TrnN):- TrnN = trn+0.
 
 next_pair:- with_pair_mode(single_pair,next_pair0).
@@ -1566,8 +1574,12 @@
 with_next_grid_mode(Goal):- 
   (luser_getval('$grid_mode',Dots);Dots=dots),next_grid_mode(Dots,Dashes), with_luser('$grid_mode',Dashes,Goal).
 
-as_d_grid(In,In):- \+ luser_getval('$grid_mode',dashes),!.
-as_d_grid(In,In1):- as_ngrid(In,In1),!.
+as_d_grid(In,Out):- as_d_grid0(In,Out),!.
+%as_d_grid(In,Out):- apply_grid_color_order(_,In,Mid),as_d_grid0(Mid,Out),!.
+
+
+as_d_grid0(In,In):- \+ luser_getval('$grid_mode',dashes),!.
+as_d_grid0(In,In1):- as_ngrid(In,In1),!.
 as_ngrid(In,In1):- must_det_ll((change_bg_fg(In, _BG, _FG,In0), most_d_colors(In0,_CI,In1))),!.
 as_ngrid(In,In):-!.
 
@@ -1645,8 +1657,15 @@
 %var_ensure_test(TestID):- var(TestID), !, ensure_test(TestID).
 %var_ensure_test(TestID):- \+ ground(TestID), !, all_arc_test_name(TestID).
 
+var_ensure_test(TestID,_):- compound(TestID), TestID=(_^_),!,fail.
 var_ensure_test(TestID,OUT):- var_ensure_test(TestID),OUT=TestID,is_valid_testname(OUT).
 
+var_ensure_test(TestSpec,I,O,Goal):- 
+  var_ensure_test(TestSpec,TestID),
+  wots(Title,\+ \+ (I=(+(in)),O=(-(out)),writeln(Goal))),
+  forall(with_test_pairs(TestID,ExampleNum,I,O,
+    (print_side_by_side(green,I,orig_in(TestID,Title,ExampleNum),_,O,orig_out(TestID,Title,ExampleNum)),
+     forall(Goal,true))),true).
 
 ensure_test(TestID):- nonvar(TestID),!, ignore(( is_valid_testname(TestID), really_set_current_test(TestID))).
 ensure_test(TestID):- var(TestID), !, var_ensure_test(TestID).
@@ -2117,8 +2136,13 @@
 plus_minus_modes(Var,-):- var(Var),!. 
 plus_minus_modes(_,+).
 
+kaggle_arc_io_current_first(TestID,E,IO,G):- 
+  get_current_test(TestID),kaggle_arc_io(TestID,E,IO,G).
+kaggle_arc_io_current_first(TestID,E,IO,G):- 
+  get_current_test(TestID2),kaggle_arc_io(TestID,E,IO,G), TestID\==TestID2.
+
 testid_name_num_io_0(ID,_Name,_Example,_Num,_IO):- var(ID),!, fail.
-testid_name_num_io_0(X,TestID,E,N,IO):- is_grid(X),!,kaggle_arc_io(TestID,E+N,IO,G),G=@=X.
+testid_name_num_io_0(X,TestID,E,N,IO):- is_grid(X),!,kaggle_arc_io_current_first(TestID,E+N,IO,G),G=@=X.
 testid_name_num_io_0(ID,_Name,_Example,_Num,_IO):- is_grid(ID),!, fail.
 testid_name_num_io_0(ID,_Name,_Example,_Num,_IO):- is_list(ID), \+ my_maplist(nonvar,ID),!,fail.
 
@@ -2282,7 +2306,7 @@
                    once((\+ indicates_arg1_testid(F),             
                    \+ \+ (clause(M:P,GG),first_cmpd_goal(GG,G),compound(G),functor(G,GF,_),
                           \+ \+ indicates_arg1_testid(GF),
-                          arg(1,P,Var1),arg(1,G,Var2),Var1==Var2),
+                          compound(P),arg(1,P,Var1),arg(1,G,Var2),Var1==Var2),
                    N1 is N-1, functor(P1,F,N1),
                    \+ predicate_property(M:P1,static))).
 scan_uses_test_id:- forall((uses_test_id(P1),atom(P1)),assertz_if_new(user:(P1:- with_current_test(P1)))).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_loader.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_loader.pl
index cbaba4da2d..af19095a28 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_loader.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_test_loader.pl
@@ -242,6 +242,8 @@
 %:- load_json_files(t,'./data/test_nar_10x10/*.json').
 load_json_files1:- load_json_files('1D_testset',t,'./data/1D_testset/*.json').
 load_json_files1:- load_json_files('MyTrainingData',t,'./dbigham/Data/MyTrainingData/*.json').
+
+load_json_files1:- load_json_files(michod,t,'./arc-task-generator/conditional_transforms_schema/tasks/0*.json').
 %:- load_json_files(v,'../../secret_data/solu**66/*.json').
 %:- load_json_files(v,'../../secret_data/evaluation/*.json').
 %load_json_files1:- load_deval, load_json_files('secret_data_evaluation',v,'/data/evaluation/*.json').
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_two.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_two.pl
index 3e16f8e1a7..259a7bf092 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_two.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_two.pl
@@ -295,10 +295,12 @@
      
 
        ;arcdbg(warn(unrunable(TestID,ExampleNum,SolutionProgram))))))),
-    print_side_by_side("our grid", InVM.grid, InVM.objs),!,
-    print_list_of("our objs",InVM.objs),
     ppt("END!!!"+Why+TestID+ExampleNum))),!.
 
+/*
+    print_side_by_side("our old grid", InVM.grid, InVM.objs),!,
+    print_list_of("our old objs",InVM.objs),
+*/
 
 :- luser_linkval(test_rules,[rules]).
 :- luser_linkval(pair_rules,[rules]).
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_ui_ansi.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_ui_ansi.pl
index a09ce2f6f4..c9834be7c5 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_ui_ansi.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_ui_ansi.pl
@@ -78,6 +78,8 @@
   b_setval(arc_can_portray,t).
 
 
+:- current_prolog_flag(never_pp_hook, true).
+
 
 portray_terse:- true,!.
 
@@ -100,18 +102,26 @@
 % Portray In Debugger
 
 arc_portray_nt(G, false):- is_grid(G), print_grid(G),!.
-arc_portray_nt(G0, true):- is_group(G0), ppt(G0),!.
+%arc_portray_nt([G|L],_False):- is_object(G), !, pp([G|L]).
+%arc_portray_nt(G0, true):- is_group(G0), ppt(G0),!.
 %arc_portray_nt(G0, false):- is_group(G0), ppt(G0),!.
-arc_portray_nt(G0, false):- is_group(G0), into_list(G0,G), length(G,L),% L>1, !,
-   dash_chars, 
-   once(((why_grouped(_TestID,Why,WG),WG=@=G,fail);(Why = (size2D=L)))),!,
-   print_grid(Why,G),nl_now,
-   %underline_print(writeln(Why)),
-   print_info_l(G),
-   dash_chars.
-
-
-arc_portray_nt(G,_False):- is_object(G), wots(S,ppt(G)), show_indiv(S,G).
+arc_portray_nt(G0, Tracing):- is_group(G0), into_list(G0,G), length(G,L),% L>1, !,
+   maplist(tersify,G0,GG), write(GG),
+   if_t(Tracing==false,
+    in_cmt((
+     dash_chars, 
+     once(((why_grouped(_TestID,Why,WG),WG=@=G,fail);(Why = (size2D=L)))),!,
+     print_grid(Why,G),nl_now,
+     
+     %underline_print(writeln(Why)),
+     %print_info_l(G),
+     dash_chars))).
+
+
+arc_portray_nt(G,_False):- is_object(G), wots(S,writeg(G)),
+  global_grid(G,GG),!,
+  print_grid(GG),
+  write(S),!. % show_indiv(S,G).
   %object_grid(G,OG), 
   %neighbor_map(OG,NG), !,
   %print_grid(object_grid,NG),nl_now,
@@ -533,7 +543,7 @@
    flag(arc_portray_current_depth,X,X),X<3,
    current_predicate(bfly_startup/0).
 
-user:portray(Grid):-
+user:portray(Grid):- 
   arcp:will_arc_portray, \+ \+ catch(quietly(arc_portray(Grid)),_,fail),!, flush_output.
 
 
@@ -690,19 +700,20 @@
 
 
 
-writeg(Term):- ignore( \+ notrace(catch(once(writeg0(Term);ppa(Term)),E,(pp(E),ppa(Term))))).
+writeg(Term):- ignore( \+ notrace(catch(once(writeg0(Term);ppa(Term)),E,(pp(E),ppa(Term))))),!.
 
 writeg0(Term):- term_attvars(Term,Attvars),Attvars\==[],!,
-  (((number_vars_calc_goals(Term,TermC,Goals),
+  must_det_ll(((number_vars_calc_goals(Term,TermC,Goals),
   writeg5(TermC)),!,
   if_t(Goals\==[],(nl_if_needed, 
     write(' goals='), call_w_pad_prev(3,az_ansi(print_tree_no_nl(Goals))))))),!.
 
-writeg0(Term):- \+ ground(Term), must_det_ll((  
+writeg0(Term):- \+ ground(Term), 
+ \+ \+ must_det_ll((  
   numbervars(Term,0,_Ten1,[singletons(true),attvar(skip)]), writeg5(Term))).
 writeg0(Term):- writeg5(Term),!.
 
-writeg5(X):- is_ftVar(X),!,write_nbsp,write_nbsp,print(X).
+writeg5(X):- is_ftVar(X),!,write_nbsp,write_nbsp,print(X),write_nbsp.
 writeg5(N=V):- is_simple_2x2(V),!,print_grid(N,V),writeln(' = '),call_w_pad_prev(2,writeg9(V)).
 writeg5(N=V):- is_gridoid(V),!,print_grid(N,V),writeln(' = '),call_w_pad_prev(2,writeg9(V)).
 writeg5(N=V):- nl_if_needed,nonvar(N), pp_no_nl(N),writeln(' = '), !, call_w_pad_prev(2,writeg5(V)). 
@@ -1136,11 +1147,12 @@
 print_side_by_side(call(P)):- !, call(P,Ret),!,print_side_by_side_l(1,Ret).
 print_side_by_side(List):- is_obj_props(List),!,wqs(List).
 print_side_by_side(G):- is_grid(G),!,print_grid(G).
+print_side_by_side([G|L]):- is_grid(G),maplist(is_grid,L),!,print_side_by_side_l(1,[G|L]).
 print_side_by_side(G):- is_object(G),!,print_grid([G]).
+print_side_by_side(Title=Value):- !, format('~N'),print_title(Title),write('==>'),print_side_by_side(Value).
 print_side_by_side(GF):- grid_footer(GF,G,W),is_gridoid(G),!,print_grid(W,G).
 %print_side_by_side(Title=(A^B)):- print_side_by_side((Title=A)^B).
 
-print_side_by_side(Title=Value):- !, format('~N'),print_title(Title),write('==>'),print_side_by_side(Value).
 print_side_by_side(P):- is_list(P), print_side_by_side_l(1,P), !,nop((length(P,PL),PL>5,writeln(pss=PL))).
 print_side_by_side(P):- \+ is_list(P), !, ignore((print_side_by_side_l(1,[P]))),!.
 
@@ -1884,6 +1896,7 @@
 
 %ansi_format_real(Ansi,Format,Args):- wants_html,!,sformat(S,Format,Args),!,color_print_webui(Ansi,S).
 %ansi_format_real(Ansi,Format,Args):- ansicall(Ansi,format(Format,Args)),!.
+ansi_format_real(fg(fg(Ansi)),Format,Args):- !, ansi_format(fg(Ansi),Format,Args).
 ansi_format_real(Ansi,Format,Args):- ansi_format(Ansi,Format,Args).
 
 
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_uniqueness.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_uniqueness.pl
index 414e948c1e..1946ce9595 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_uniqueness.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_uniqueness.pl
@@ -4,8 +4,460 @@
   This work may not be copied and used by anyone other than the author Douglas Miles
   unless permission or license is granted (contact at business@logicmoo.org)
 */
+
+
+% ARC challenged me to write code that i knew i could but would take me some learning to do. 
+% thought i could put off until after funding..
+% Really I thought it was more something Fabrizio could write. 
+% but evidently it is considered impressive feat
+/*
+he big joke i am working on to really sting everyone is i have told several people exactly how my code works.. and they just don't believe anyone could make it work the way i did .. my explanations are so incredulous sounding ..  but yet the system does work and does everything i say it does..
+So as the community sees my ARC stuff violate their beliefs, and the logicmoo stuff sounding so equally incredulous might be worth trusting me on (edited)
+
+*/
+
+
+% MOO mean multi user OO universe
+% OO (Object Orientated) is sort of passee now but i ideally the logicmoo meaning is based on 
+% an abstration ("OO") of a refernce to a multi-propertied thing
+% rether than defining these properties by soem instances of objects, I define them as calls to logical relations defined by situation calculus 
+% these things have simularities that make them groupable for arbitrary reasons
+
+
 :- include(kaggle_arc_header).
 
+:- dynamic(is_for_ilp/4).
+:- dynamic(is_accompany_changed_db/3).
+clear_scene_rules(TestID):- 
+  forall(is_accompany_changed_db(TestID,B,C),
+     ignore(retract(is_accompany_changed_db(TestID,B,C)))).
+
+count_of(G,N):- findall(G,G,L),variant_list_to_set(L,S),length(S,N).
+
+dont_notice(oid(_)).
+dont_notice(giz(_)).
+dont_notice(global2G(_,_)).
+dont_notice(link(sees,_)).
+dont_notice(links_count(sees,_)).
+dont_notice(occurs_in_links(contained_by,_)).
+dont_notice(occurs_in_links(sees,_)).
+dont_notice(iz(i_o(_))).
+dont_notice(P):- compound(P),arg(_,P,E),is_gridoid(E),!.
+dont_notice(P):- compound(P),!,compound_name_arity(P,F,_),!,dont_notice(F).
+dont_notice(F):- \+ atom(F),!,fail.
+dont_notice(link).
+dont_notice(oid).
+dont_notice(giz).
+dont_notice(shape_rep).
+do_notice(pg(_,_,rank1,_)).
+
+ok_notice(X):- \+ \+ do_notice(X),!.
+ok_notice(X):- \+ dont_notice(X).
+
+%ensure_propcounts(_TestID):-!.
+ensure_propcounts(TestID):- ensure_test(TestID),ensure_propcounts1(TestID).
+ensure_propcounts1(TestID):- 
+ forall(current_example_nums(TestID,ExampleNum),
+  ( \+ \+ propcounts(TestID, ExampleNum, out, count, _, _),
+    \+ \+ propcounts(TestID, ExampleNum, in, count, _, _))),!.
+ensure_propcounts1(TestID):- with_pair_mode(whole_test,ndividuator(TestID)),
+  my_assertion(propcounts(TestID, _, out, count, _, _)).
+
+counts_change(TestID,E):-
+  ensure_propcounts(TestID),
+  findall(P,counts_change(TestID,_,P,_,_),L),list_to_set(L,S),!,member(E,S).
+
+counts_change(TestID,ExampleNum,X,N2,N1):- 
+   ensure_propcounts(TestID),
+   propcounts(TestID, ExampleNum, out, count, N1, X), \+ dont_notice(X),
+   ExampleNum = trn+_,
+   (propcounts(TestID, ExampleNum, in, count, N2, X) -> true ; N2=0), N1\==N2.
+
+counts_change(TestID,ExampleNum,X,N1,N2):- 
+   ensure_propcounts(TestID),
+   propcounts(TestID, ExampleNum, in, count, N1, X), \+ dont_notice(X),
+   ExampleNum = trn+_,
+   (propcounts(TestID, ExampleNum, out, count, N2, X) -> true ; N2=0), N1\==N2.
+
+accompany_change30(TestID,P,Same):-
+  maplist(no_repeats_var,[P]),
+  accompany_changed_compute_pass1(TestID,P,Same).
+
+compute_scene_change(TestID):-
+ with_pair_mode(whole_test, 
+ (banner_lines(red,4),
+  ensure_test(TestID),
+  clear_scene_rules(TestID),  
+  compute_scene_change_pass1(TestID),
+  banner_lines(yellow,4),
+  compute_scene_change_pass2(TestID),
+  banner_lines(blue,4),
+  compute_scene_change_pass3(TestID))).
+
+compute_scene_change_pass1(TestID):- 
+   no_repeats_var(NR),
+   NR =  accompany_changed_compute_pass1(TestID,P,Same),
+   NRO = is_accompany_changed_db(TestID,P,Same),
+  with_pair_mode(whole_test, forall(call(NR),assert_ilp_new(NRO))).
+
+assert_ilp_new(Term):- clause_asserted(Term),!.
+assert_ilp_new(Term):- pp(assert_ilp_new=Term),!, assert_if_new(Term).
+
+
+solve_via_scene_change(TestID):-  
+  ensure_test(TestID),
+  clear_scene_rules(TestID),
+  (\+ is_accompany_changed_db(TestID,_,_) -> compute_scene_change(TestID) ; true),   
+  
+  nop(nop((show_scene_change_rules(TestID),ExampleNum=tst+_,forall((obj_group_io(TestID,ExampleNum,in,ROptions,Objs),Objs\==[]),
+    solve_obj_group(TestID,ExampleNum,in,ROptions,Objs))))),
+  show_scene_change_rules(TestID),!.
+  
+
+show_scene_change_rules(TestID):-
+  banner_lines(cyan,4),
+   forall(is_accompany_changed_computed(TestID,P,Same),
+     pp(show_scene_change_rules(Same)=>P)),
+banner_lines(cyan,4).
+
+
+compute_scene_change_pass2(TestID):-
+   findall(P,is_accompany_changed_db(TestID,P,_),Ps),
+   variant_list_to_set(Ps,Set),
+   maplist(compute_scene_change_pass2(TestID),Set).
+compute_scene_change_pass3(TestID):-
+   compute_scene_change_pass2(TestID).
+
+compute_scene_change_pass2(TestID,P):-
+   findall(Same,is_accompany_changed_db(TestID,P,Same),List),
+   %List=[_,_|_], 
+   flatten(List,SameF), variant_list_to_set(SameF,SameS),
+   correct_antes1(TestID,P,SameS,Kept), Kept\==[],!, % pp(P=compute_scene_change_pass2([SameS,Kept])),
+   forall(retract(is_accompany_changed_db(TestID,P,_)),true),
+   assert_ilp_new(is_accompany_changed_db(TestID,P,Kept)).
+%compute_scene_change_pass2(_,_).
+
+at_least_one_overlap(DSame,Same):-
+  member(DS,DSame),member(S,Same),
+  (DS=@=S;other_val(S,DS)),!.
+
+correct_antes1(TestID,P,Same,SL):- 
+  findall(S,
+   (member(S,Same),
+     \+ \+ ((
+       forall((is_accompany_changed_db(TestID,DP,DSame),at_least_one_overlap(DSame,Same)),       
+          ((P==DP)-> true; (member(DS,DSame),other_val(S,DS))))))),
+   SL), SL\==[],!.
+correct_antes1(_TestID,_P,Same,Same).
+
+/*
+correct_antes2(TestID,P,Same,Kept):-    
+   is_accompany_changed_db(TestID,DP,DSame),
+   other_val(P,DP),
+   include(other_vals_from(DSame),Same,Kept), Kept\==[],!.
+correct_antes2(_TestID,_P,Same,Same).
+other_vals_from(DSame,E):- member(DS,DSame),other_val(E,DS),!.
+ 
+*/
+
+correct_antes3(TestID,P,Same,SameS):-
+ share_level(Level), 
+  my_partition(not(shared_prop_U(TestID,P,Level)),Same,_Lost,SameS).
+  
+/*
+correct_antes3(TestID,P,Same,SameS):-
+ share_level(Level), 
+  include(shared_prop_U(TestID,P,Level),Same,SameS),!.
+correct_antes3(TestID,P,Same,SameS):-
+  include(shared_prop_U(TestID,P,_),Same,SameS),!.
+
+*/
+correct_antes3(_,_,Same,Same):-!.
+
+share_level(all). %share_level(5). share_level(4). 
+share_level(3). share_level(2).
+
+shared_prop_U(TestID,P,ShareLevel,Same):- var(TestID),!,get_current_test(TestID),!,shared_prop_U(TestID,P,ShareLevel,Same).
+shared_prop_U(TestID,P,ShareLevel,Same):- var(P),!,ensure_prop_change(P),shared_prop_U(TestID,P,ShareLevel,Same).
+shared_prop_U(TestID,P,ShareLevel,Same):- var(ShareLevel),!,share_level(ShareLevel),shared_prop_U(TestID,P,ShareLevel,Same).
+
+shared_prop_U(TestID,P,ShareLevel,Same):- var(Same),!,
+  is_accompany_changed_computed(TestID,P,SameL),
+  member(Same,SameL),
+  shared_prop_U(TestID,P,ShareLevel,Same).
+/*
+shared_prop_U(TestID,P,_,Same):- !,
+  forall(current_example_nums(TestID,ExampleNum),
+  (set_example_num(ExampleNum),
+   findall(O,(kaggle_arc_io(TestID,ExampleNum,out,Grid),individuate(complete,Grid,Objs), 
+     %print_ss(wqs(individuate(ExampleNum)),Grid,Objs),
+     member(O,Objs)),OL1),
+    %copy_term(P,PP), copy_term(PP,PPP),
+  findall(O,(member(O,OL1),has_prop(P,O)),OL),
+  %print_ss(Same,OL1,OL),
+  % writeq(P),    
+   forall(member(O,OL),has_prop(Same,O)))).
+*/
+
+shared_prop_U(TestID,_P,all,Same):- 
+  forall(current_example_nums(TestID,ExampleNum), is_prop_in(TestID,ExampleNum,Same)).
+
+shared_prop_U(TestID,_P,ShareLevel,Same):- number(ShareLevel), 
+  findall(+,((current_example_nums(TestID,ExampleNum),
+     \+ \+ is_prop_in(TestID,ExampleNum,Same))),L),
+    length(L,N),%trace,
+    N>=ShareLevel.
+
+is_prop_in(TestID,ExampleNum,Same):-
+   obj_group_io(TestID,ExampleNum,in,Objs),  
+   \+ \+ (member(O,Objs),has_prop(Same,O)),!.
+    
+
+solve_obj_group(TestID,ExampleNum,IO,ROptions,Objs):-
+  my_maplist(solve_obj(TestID,ExampleNum,IO,ROptions),Objs,OObjs),
+  print_ss(wqs(solved_obj_group(ExampleNum)),Objs,OObjs).
+
+solve_obj(TestID,_ExampleNum,_IO,_ROptions,Obj,OObj):-
+ must_det_ll((findall(P,(is_accompany_changed_verified(TestID,P,Same),member(S,Same),has_prop(S,Obj)),Ps),
+ wots(SS,writeln(Ps)),
+ override_object_1(Ps,Obj,OObj),!,
+ print_ss(override_object(SS),[Obj],[OObj]))).
+
+override_object_1([H|T],I,OO):-  override_object_1(H,I,M),!, override_object_1(T,M,OO).
+override_object_1(pen([cc(Red,N)]),Obj,OObj):- pen(Obj,[cc(Was,N)]), subst(Obj,Was,Red,OObj),!.
+override_object_1(O,I,OO):- override_object(O,I,OO),!.
+
+is_accompany_changed_verified(TestID,P,Same):-
+  is_accompany_changed_computed(TestID,P,Same), Same\==[].
+
+is_accompany_changed_computed(TestID,P,Same):-
+   is_accompany_changed_db(TestID,P,Same) *->true ; accompany_changed_compute_pass1(TestID,P,Same). 
+   
+ensure_prop_change(Prop):- 
+  (var(Prop)->counts_change(_TestID,Prop);true).
+
+prop_can(Prop,Can):-
+  ensure_prop_change(Prop),
+  prop_cant(Prop,Cant),
+  prop_can1(Prop,Can1),
+  intersection(Can1,Cant,_,Can,_).
+
+
+% Turns out due to shortage Fred Meyer doesn't have the XR now anyways .. But i confirmed they do have  have a 28 day supply of the non-XR   .. .. Go ahead and not send the XR if you haven't sent it
+
+prop_cant(Prop,Set):-
+  ensure_prop_change(Prop),
+  findall(Cant,
+    ((enum_object(O),has_prop(giz(g(out)),O),has_prop(cc(bg,0),O),
+      not_has_prop(Prop,O),indv_props_list(O,List),member(Cant,List),ok_notice(Cant))),Flat),
+   list_to_set(Flat,Set).
+
+enum_object_ext(O):-
+  ensure_test(TestID),
+  current_example_nums(TestID,ExampleNum),
+  once((obj_group_io(TestID,ExampleNum,out,Objs),Objs\==[])),member(O,Objs).
+
+prop_can1(Prop,Can):-  
+  ensure_prop_change(Prop),
+  findall(O,
+    ((enum_object_ext(O),has_prop(giz(g(out)),O),has_prop(cc(bg,0),O),
+      has_prop(Prop,O))),[I|L]),
+  indv_props_list(I,List),
+  findall(P,(member(P,List),ok_notice(P),forall(member(E,L),has_prop(P,E))),Can).
+
+
+accompany_changed_compute_pass1(TestID,P,SameS):- 
+  findall(ac(TestID,X,ExampleNum,PO),
+    (accompany_change2(TestID,ExampleNum,[X1=P1O,X2=P2O,common=_Intersect]),
+     member(X=PO,[X1=P1O,X2=P2O])), AC0),
+  sort(AC0,AC1),
+  list_to_set_variant(AC1,AC2),
+  counts_change(TestID,P),
+  ac1_or_ac2(TestID,P,AC2,NewSame),
+  correct_antes3(TestID,P,NewSame,SameS).
+
+ac1_or_ac2(TestID,P,AC2,NewSame):-
+  ac1_or_ac2_1(TestID,P,AC2,NewSame)*->true;ac1_or_ac2_2(TestID,P,AC2,NewSame).
+  
+ac1_or_ac2_1(TestID,P,AC2,NewSame):-
+  findall(ac1(PO),member(ac(TestID,P,_ExampleNum,PO),AC2),AC3),
+  merge_xtra_props_ac1(AC3,Same),
+  find_peers_with_same(TestID,P,Same,NewSame),
+  NewSame\==[].
+
+ac1_or_ac2_2(TestID,P,AC2,NewSame):-
+  findall(ac2(ExampleNum,PO),(member(ac(TestID,P,ExampleNum,PO),AC2)),AC3),
+  sort(AC3,AC4),
+  merge_xtra_props_ac2(AC4,Same),
+  find_peers_with_same(TestID,P,Same,NewSame),
+  NewSame\==[].
+
+%xlisting(propcounts+variance_had_count_set+(pen([cc(yellow,1)]);links_count(contains,4))-'$spft$').
+/*
+   propcounts( TestID,
+           ExampleNum, IO,
+           variance_had_count_set(2,0),
+           P,
+           PL,
+           [ 1-(2-links_count(contains,4)),
+             1-(1-links_count(contains,3))]),
+*/
+contains_same([],_):- !.
+contains_same([E|L],P):- sub_var(E,P),!,contains_same(L,P).
+
+find_peers_with_same(TestID,P,Same,NewSame):- select(S,Same,Next),S=@=P,!,find_peers_with_same(TestID,P,Next,NewSame).
+find_peers_with_same(TestID,P,Same,NewSame):- 
+   sub_term(Color,P),is_real_color(Color), sub_term(N,P),number(N),
+   my_partition(contains_same([Color]),Same,SameW,SameWO),SameW\==[], SameWO\==[],!,
+   find_peers_with_same(TestID,P,SameWO,NewSame).
+find_peers_with_same(_,_,Same,Same):-!.
+   
+   
+
+   
+
+merge_xtra_props_ac1([ac1(PO)|AC3],Same):- !, merge_xtra_props_ac1_3(PO,AC3,Same), Same\==[].
+merge_xtra_props_ac1_3(PO,[ac1(PO2)|MORE],OUT):-
+  intersection(PO,PO2,IPO),
+  merge_xtra_props_ac1_3(IPO,MORE,OUT).
+merge_xtra_props_ac1_3(PO,[],PO).
+
+merge_xtra_props_ac2([ac2(_,Same)],Same):-!.
+merge_xtra_props_ac2(AC2,Same):-
+ select(ac2(ExampleNum,PO1),AC2,AC3),
+ select(ac2(ExampleNum,PO2),AC3,AC4),
+ intersection(PO1,PO2,Some),Some\==[],!,
+ merge_xtra_props_ac2([ac2(ExampleNum,Some)|AC4],Same).
+merge_xtra_props_ac2(AC2,Same):-
+ select(ac2(ExampleNum,PO1),AC2,AC3),
+ select(ac2(ExampleNum2,PO2),AC3,AC4),
+ ExampleNum \== ExampleNum2,
+ intersection(PO1,PO2,Some),Some\==[],!,
+ merge_xtra_props_ac2([ac2(ExampleNum,Some)|AC4],Same).
+merge_xtra_props_ac2([ac2(ExampleNum,PO1)|AC3],[ac2(ExampleNum,PO1)|Same]):-
+  merge_xtra_props_ac2(AC3,Same),!.
+merge_xtra_props_ac2(Same,Same):-!.
+
+
+changing_props(X1,X2):- 
+ counts_change(TestID,X1),
+ counts_change(TestID,X2),
+% X1@>X2,
+ other_val(X1,X2). 
+
+other_val(X1,X2):- X1\=@=X2, same_prop_names(X1,X2),!.
+same_prop_names(X1,X2):- 
+  compound(X1),compound(X2), same_functor(X1,X2),!,
+  make_unifiable_u(X1,U1), make_unifiable_u(X2,U2),  U1 =@= U2.
+make_unifiable_u(X1,U1):- make_unifiable_cc(X1,U1),!.
+
+accompany_change2(TestID,ExampleNum,[X1=P1O,X2=P2O,common=Intersect]):-
+ changing_props(X1,X2),
+ accompany_change(TestID,ExampleNum,X1,Props1,_NotProps1),
+ accompany_change(TestID,ExampleNum,X2,Props2,_NotProps2),
+ once((
+   intersection(Props1,Props2,Intersect,P1,P2),
+   include(has_other_val(Props2),P1,P1O),
+   include(has_other_val(Props1),P2,P2O))).
+
+has_other_val(Props1,X2):- member(X1,Props1),other_val(X1,X2),!.
+
+
+accompany_change(TestID,ExampleNum,X,Props,NotProps):-
+  var(TestID),!,ensure_test(TestID),
+  accompany_change(TestID,ExampleNum,X,Props,NotProps).
+accompany_change(TestID,ExampleNum,X,Props,NotProps):-
+  var(ExampleNum),!,current_example_nums(TestID,ExampleNum),
+  accompany_change(TestID,ExampleNum,X,Props,NotProps).
+accompany_change(TestID,ExampleNum,X,Props,NotProps):-
+  var(X),!,counts_change(TestID,X),
+  accompany_change(TestID,ExampleNum,X,Props,NotProps).
+
+accompany_change(TestID,ExampleNum,X,Props,NotProps):-     
+   once((counts_change(TestID,ExampleNum,X,N1,N2), N1N2,
+  once((
+   %obj_group_io(TestID,ExampleNum,in,In), my_partition(has_prop(X),In,HasPropsI,NotHasPropsI),
+  %obj_group_io(TestID,ExampleNum,out,Out),
+  other_objs_than_group(TestID,ExampleNum,out,Out),
+  my_partition(not_has_prop(X),Out,HasPropsO,NotHasPropsO),
+  %my_partition(not_has_prop(X),Others,HasPropsOthers,NotHasPropsOthers),
+  common_props(HasPropsO,Common),
+  common_props(NotHasPropsO,NotCommon),
+  intersection(Common,NotCommon,_,Props,NotProps),Props\==[])).
+
+
+common_props([O|Objs],Props):-
+   indv_props_list(O,List),
+   findall(P,(member(P,List),\+ dont_notice(P),forall(member(E,Objs),has_prop(P,E))),Props).
+
+current_example_nums(_TestID,ExampleNum):- ground(ExampleNum),!.
+current_example_nums(TestID,ExampleNum):- 
+  get_current_test(TestID),ExampleNum=trn+_, kaggle_arc(TestID,ExampleNum,_,_). 
+
+
+
+save_how_io(HowIn,HowOut):- 
+  get_current_test(TestID),save_how_io(TestID,HowIn,HowOut).
+save_how_io(TestID,HowIn,HowOut):- 
+  assert_test_property(TestID,common,indiv_how(in),HowIn),
+  assert_test_property(TestID,common,indiv_how(out),HowOut),!.
+
+
+
+obj_group_gg(TestID,ExampleNum,In,Out):-
+   no_repeats_var(Out),set_example_num(ExampleNum),
+   obj_group5(TestID,ExampleNum,in,HowIn,In), In\==[],  length(In,L),
+
+   (((obj_group5(TestID,ExampleNum,out,HowOut,OOut),length(OOut,L),save_how_io(TestID,HowIn,HowOut)))
+     ;obj_group5(TestID,ExampleNum,out,_,OOut)),   
+   Out = OOut.
+
+other_objs_than_group(TestID,ExampleNum,IO,Others):-
+  findall(O,(current_example_nums(TestID,OExampleNum),
+    ExampleNum\==OExampleNum,
+    obj_group_io(TestID,OExampleNum,IO,Objs),
+    member(O,Objs)),Others).
+
+all_io_objs(TestID,IO,Others):-
+  findall(O,(current_example_nums(TestID,ExampleNum), 
+   obj_group_io(TestID,ExampleNum,IO,Objs), member(O,Objs)),Others).
+
+with_individuated_cache(TF,Goal):- locally(nb_setval(use_individuated_cache,TF),Goal).
+
+obj_group_io(TestID,ExampleNum,IO,Objs):-
+ arc_test_property(TestID,common,indiv_how(IO),How),!,
+ current_example_nums(TestID,ExampleNum), 
+ with_individuated_cache(true,
+   once(obj_group5(TestID,ExampleNum,IO,How,Objs))).
+
+obj_group_io(TestID,ExampleNum,IO,Objs):- 
+ current_example_nums(TestID,ExampleNum),
+ with_individuated_cache(true,
+   once(obj_group5(TestID,ExampleNum,IO,_,Objs))).
+
+obj_group5(TestID,ExampleNum,IO,ROptions,Objs):- var(TestID),
+  ensure_test(TestID),!,obj_group5(TestID,ExampleNum,IO,ROptions,Objs).  
+obj_group5(TestID,ExampleNum,IO,ROptions,Objs):- var(ROptions),
+ arc_test_property(TestID,common,indiv_how(IO),ROptions),!,
+ obj_group5(TestID,ExampleNum,IO,ROptions,Objs).
+obj_group5(TestID,ExampleNum,IO,ROptions,Objs):-
+ kaggle_arc_io(TestID,ExampleNum,IO,Grid),
+  set_example_num(ExampleNum),
+  ((fail, arc_cache:individuated_cache(TestID,TID,GOID,ROptions,Objs), Objs\==[],
+  once((testid_name_num_io_0(TID,_,Example,Num,IO),
+        testid_name_num_io_0(GOID,_,Example,Num,IO))))*-> true ; grid_to_objs(Grid,ROptions,Objs)).
+  
+
 
 
 saved_group(Why,IndvS):-
diff --git a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_utils.pl b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_utils.pl
index 4589d3fae4..029879f4a4 100644
--- a/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_utils.pl
+++ b/packs_sys/logicmoo_agi/prolog/kaggle_arc/kaggle_arc_utils.pl
@@ -218,7 +218,7 @@
 mapg_list(P3,Grid,GridN,GridO):- is_list(Grid),!,maplist(mapg_list(P3),Grid,GridN,GridO).
 mapg_list(P3,Grid,GridN,GridO):- call(P3,Grid,GridN,GridO),!.
 
-mapgrid(P2, Grid,GridN):- into_grid_or_var(Grid,G1),into_grid_or_var(GridN,G2),mapg_list(P2, G1,G2).
+mapgrid(P2, Grid,GridN):- into_grid_or_var(Grid,G1),into_grid_or_var(GridN,G2),!,mapg_list(P2, G1,G2).
 mapg_list(P2, Grid,GridN):- is_list(Grid),!,maplist(mapg_list(P2),Grid,GridN).
 mapg_list(P2, Grid,GridN):- p2_call(P2, Grid,GridN),!.
 
@@ -244,6 +244,7 @@
 p1_call(not(not(P1)),E):- !, \+ \+ p1_call(P1,E).
 p1_call(not(P1),E):- !, not(p1_call(P1,E)).
 p1_call(once(P1),E):- !, once(p1_call(P1,E)).
+p1_call(ignore(P1),E):- !, ignore(p1_call(P1,E)).
 p1_call(chk(P1),E):- !, \+ \+ (p1_call(P1,E)).
 p1_call( \+ (P1),E):- !, \+ p1_call(P1,E).
 p1_call(P1,E):- !, call(P1,E).
@@ -265,6 +266,7 @@
 p1_or(P1A,P1B,X):- p1_call(P1A,X)->true;p1_call(P1B,X).
 p1_and(P1A,P1B,X):- p1_call(P1A,X),p1_call(P1B,X).
 p1_not(P1,E):- \+ p1_call(P1,E).
+p1_ignore(P1,E):- ignore(p1_call(P1,E)).
 p1_arg(N,P1,E):- arg(N,E,Arg),p1_call(P1,Arg).
 p1_subterm(P1,E):- sub_term(Arg,E),p1_call(P1,Arg).
 my_partition(_,[],[],[]):-!.
diff --git a/packs_sys/logicmoo_utils/prolog/debuggery/first.pl b/packs_sys/logicmoo_utils/prolog/debuggery/first.pl
index 852c876a2b..1f92b8e2c5 100755
--- a/packs_sys/logicmoo_utils/prolog/debuggery/first.pl
+++ b/packs_sys/logicmoo_utils/prolog/debuggery/first.pl
@@ -334,7 +334,7 @@
 %
 % If May Hide.
 %
-if_may_hide(G):-G.
+if_may_hide(G):-call(G).
 
 :- meta_predicate with_unlocked_pred(:,0).
 
@@ -388,10 +388,10 @@
 % Managed Predicate  Trace nochilds.
 %
 mpred_trace_nochilds(W):- if_may_hide(forall(match_predicates(W,M,Pred,_,_),(
-with_unlocked_pred(M:Pred,(
-'old_set_predicate_attribute'(M:Pred, trace, 1),
-%'old_set_predicate_attribute'(M:Pred, noprofile, 0),
-'old_set_predicate_attribute'(M:Pred, hide_childs, 1)))))).
+  with_unlocked_pred(M:Pred,(
+  'old_set_predicate_attribute'(M:Pred, trace, 1),
+  %'old_set_predicate_attribute'(M:Pred, noprofile, 0),
+  'old_set_predicate_attribute'(M:Pred, hide_childs, 1)))))).
 
 :- export(mpred_trace_childs/1).
 
diff --git a/packs_sys/logicmoo_utils/prolog/debuggery/rtrace.pl b/packs_sys/logicmoo_utils/prolog/debuggery/rtrace.pl
index cd451d8a50..4cfc68ea87 100755
--- a/packs_sys/logicmoo_utils/prolog/debuggery/rtrace.pl
+++ b/packs_sys/logicmoo_utils/prolog/debuggery/rtrace.pl
@@ -60,6 +60,10 @@
    
    rtrace_break(:),
    quietly(:),
+   quietly1(:),
+   quietly2(:),
+   quietly3(:),
+   quietly4(:),
    ftrace(:),
    visible_rtrace(+,:).
 
@@ -85,7 +89,7 @@
  ((( tracing; t_l:rtracing),!,maybe_leash(+exception))) 
   -> Goal
    ;
-   (catchv(Goal,E,(ignore(debugCallWhy(on_x_debug(E,Goal),rtrace(Goal))),throw(E)))).
+   (catchv(quietly(Goal),E,(ignore(debugCallWhy(on_x_debug(E,Goal),rtrace(Goal))),throw(E)))).
 
 
 
@@ -100,7 +104,13 @@
 maybe_leash(Some):- notrace((should_maybe_leash->leash(Some);true)).
 
 old_swi(_).
-my_totally_hide(G):- '$hide'(G), old_swi(totally_hide(G)).
+with_unlocked_pred_local(MP,Goal):- strip_module(MP,M,P),Pred=M:P,
+   (predicate_property(Pred,foreign)-> true ;
+ setup_call_cleanup(unlock_predicate(Pred),
+   catch(Goal,E,throw(E)),lock_predicate(Pred))),!.
+
+my_totally_hide(G):- 
+  with_unlocked_pred_local(G, '$hide'(G)), old_swi(totally_hide(G)).
 
 :- my_totally_hide(maybe_leash/1).
 
@@ -222,8 +232,10 @@
      (YN == true -> trace ; (trace;(notrace,fail)));
   (trace,!,notrace(fail)))).
 
+quietly(Goal):- quietly3(Goal).
+
 % version 4 
-quietly(M:Goal):- \+ tracing 
+quietly4(M:Goal):- \+ tracing 
  -> M:Goal ;
   (get_trace_reset(W), scce_orig(notrace(visible(-all)),M:Goal,W)).
 
diff --git a/packs_sys/logicmoo_utils/prolog/logicmoo/no_repeats.pl b/packs_sys/logicmoo_utils/prolog/logicmoo/no_repeats.pl
index 5cf439702b..a6d1f14df4 100755
--- a/packs_sys/logicmoo_utils/prolog/logicmoo/no_repeats.pl
+++ b/packs_sys/logicmoo_utils/prolog/logicmoo/no_repeats.pl
@@ -436,14 +436,24 @@
 %  X = 3;
 %  No.
 %  ==
-no_repeats_var(Var):- nonvar(Var) ->true; (get_attr(Var,nr,_)->true;put_attr(Var,nr,old_vals(Var,same_forms,[]))).
+no_repeats_var(Var):- nonvar(Var) ->true; 
+ (get_attr(Var,nr,_)->true;put_attr(Var,nr,old_vals(Var,same_forms,[]))).
 no_repeats_var(Cmp,Var):- nonvar(Var) ->true; (get_attr(Var,nr,_)->true;put_attr(Var,nr,old_vals(Var,Cmp,[]))).
-nr:attr_unify_hook(AttValue,VarValue):- AttValue=old_vals(_Var,Cmp,Waz), \+ memberchk_pred(Cmp,VarValue,Waz),nb_setarg(1,AttValue,[VarValue|Waz]).
+
+nr:attr_unify_hook(AttValue,VarValue):- 
+  AttValue=old_vals(_Var,Cmp,Waz),
+  \+ memberchk_pred(Cmp,VarValue,Waz),nb_setarg(3,AttValue,[VarValue|Waz]).
+/*
+nr:attr_unify_hook(AttValue,VarValue):- 
+  AttValue=old_vals(_Var,Cmp,Waz),
+  \+ (member(E,Waz), call(Cmp,VarValue,E)),
+  nb_setarg(3,AttValue,[VarValue|Waz]).
+*/
 
 same_forms(F1,F2):- get_attrs(F1,A1),!,get_attrs(F2,A2),A1=@=A2.
-same_forms(F1,F2):- get_attrs(F2,A1),!,get_attrs(F1,A2),A1=@=A2.
+same_forms(F1,F2):- get_attrs(F2,A1),!,fail,get_attrs(F1,A2),A1=@=A2.
 same_forms(F1,F2):- var(F1),!,F2==F1.
-same_forms(F1,F2):- var(F2),!,F2==F1.
+same_forms(F1,F2):- var(F2),!,fail,F2==F1.
 same_forms(F1,F2):- F1=@=F2.
 % WAS OFF  :- system:use_module(library(logicmoo_startup)).

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