Operators (S to Z)
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Definition​
Operators in the GAML language are used to compose complex expressions. An operator performs a function on one, two, or n operands (which are other expressions and thus may be themselves composed of operators) and returns the result of this function.
Most of them use a classical prefixed functional syntax (i.e. operator_name(operand1, operand2, operand3)
, see below), with the exception of arithmetic (e.g. +
, /
), logical (and
, or
), comparison (e.g. >
, <
), access (.
, [..]
) and pair (::
) operators, which require an infixed notation (i.e. operand1 operator_symbol operand1
).
The ternary functional if-else operator, ? :
, uses a special infixed syntax composed with two symbols (e.g. operand1 ? operand2 : operand3
). Two unary operators (-
and !
) use a traditional prefixed syntax that does not require parentheses unless the operand is itself a complex expression (e.g. - 10
, ! (operand1 or operand2)
).
Finally, special constructor operators ({...}
for constructing points, [...]
for constructing lists and maps) will require their operands to be placed between their two symbols (e.g. {1,2,3}
, [operand1, operand2, ..., operandn]
or [key1::value1, key2::value2... keyn::valuen]
).
With the exception of these special cases above, the following rules apply to the syntax of operators:
- if they only have one operand, the functional prefixed syntax is mandatory (e.g.
operator_name(operand1)
) - if they have two arguments, either the functional prefixed syntax (e.g.
operator_name(operand1, operand2)
) or the infixed syntax (e.g.operand1 operator_name operand2
) can be used. - if they have more than two arguments, either the functional prefixed syntax (e.g.
operator_name(operand1, operand2, ..., operand)
) or a special infixed syntax with the first operand on the left-hand side of the operator name (e.g.operand1 operator_name(operand2, ..., operand)
) can be used.
All of these alternative syntaxes are completely equivalent.
Operators in GAML are purely functional, i.e. they are guaranteed to not have any side effects on their operands. For instance, the shuffle
operator, which randomizes the positions of elements in a list, does not modify its list operand but returns a new shuffled list.
Priority between operators​
The priority of operators determines, in the case of complex expressions composed of several operators, which one(s) will be evaluated first.
GAML follows in general the traditional priorities attributed to arithmetic, boolean, comparison operators, with some twists. Namely:
- the constructor operators, like
::
, used to compose pairs of operands, have the lowest priority of all operators (e.g.a > b :: b > c
will return a pair of boolean values, which means that the two comparisons are evaluated before the operator applies. Similarly,[a > 10, b > 5]
will return a list of boolean values. - it is followed by the
?:
operator, the functional if-else (e.g.a > b ? a + 10 : a - 10
will return the result of the if-else). - next are the logical operators,
and
andor
(e.g.a > b or b > c
will return the value of the test) - next are the comparison operators (i.e.
>
,<
,<=
,>=
,=
,!=
) - next the arithmetic operators in their logical order (multiplicative operators have a higher priority than additive operators)
- next the unary operators
-
and!
- next the access operators
.
and[]
(e.g.{1,2,3}.x > 20 + {4,5,6}.y
will return the result of the comparison between the x and y ordinates of the two points) - and finally the functional operators, which have the highest priority of all.
Using actions as operators​
Actions defined in species can be used as operators, provided they are called on the correct agent. The syntax is that of normal functional operators, but the agent that will perform the action must be added as the first operand.
For instance, if the following species is defined:
species spec1 {
int min(int x, int y) {
return x > y ? x : y;
}
}
Any agent instance of spec1 can use min
as an operator (if the action conflicts with an existing operator, a warning will be emitted). For instance, in the same model, the following line is perfectly acceptable:
global {
init {
create spec1;
spec1 my_agent <- spec1[0];
int the_min <- my_agent min(10,20); // or min(my_agent, 10, 20);
}
}
If the action doesn't have any operands, the syntax to use is my_agent the_action()
. Finally, if it does not return a value, it might still be used but is considering as returning a value of type unknown
(e.g. unknown result <- my_agent the_action(op1, op2);
).
Note that due to the fact that actions are written by modelers, the general functional contract is not respected in that case: actions might perfectly have side effects on their operands (including the agent).
Table of Contents​
Operators by categories​
3D​
box, cone3D, cube, cylinder, hexagon, pyramid, set_z, sphere, teapot,
Arithmetic operators​
-, /, ^, *, +, abs, acos, asin, atan, atan2, ceil, cos, cos_rad, div, even, exp, fact, floor, hypot, is_finite, is_number, ln, log, mod, round, signum, sin, sin_rad, sqrt, tan, tan_rad, tanh, with_precision,
BDI​
add_values, and, eval_when, get_about, get_agent, get_agent_cause, get_belief_op, get_belief_with_name_op, get_beliefs_op, get_beliefs_with_name_op, get_current_intention_op, get_decay, get_desire_op, get_desire_with_name_op, get_desires_op, get_desires_with_name_op, get_dominance, get_familiarity, get_ideal_op, get_ideal_with_name_op, get_ideals_op, get_ideals_with_name_op, get_intensity, get_intention_op, get_intention_with_name_op, get_intentions_op, get_intentions_with_name_op, get_lifetime, get_liking, get_modality, get_obligation_op, get_obligation_with_name_op, get_obligations_op, get_obligations_with_name_op, get_plan_name, get_predicate, get_solidarity, get_strength, get_super_intention, get_trust, get_truth, get_uncertainties_op, get_uncertainties_with_name_op, get_uncertainty_op, get_uncertainty_with_name_op, get_values, has_belief_op, has_belief_with_name_op, has_desire_op, has_desire_with_name_op, has_ideal_op, has_ideal_with_name_op, has_intention_op, has_intention_with_name_op, has_obligation_op, has_obligation_with_name_op, has_uncertainty_op, has_uncertainty_with_name_op, new_emotion, new_mental_state, new_predicate, new_social_link, not, or, set_about, set_agent, set_agent_cause, set_decay, set_dominance, set_familiarity, set_intensity, set_lifetime, set_liking, set_modality, set_predicate, set_solidarity, set_strength, set_trust, set_truth, with_values,
Casting operators​
as, as_int, as_matrix, font, is, is_skill, list_with, matrix_with, species, to_gaml, topology,
Color-related operators​
-, /, *, +, blend, brewer_colors, brewer_palettes, gradient, grayscale, hsb, mean, median, palette, rgb, rnd_color, scale, sum,
Comparison operators​
Containers-related operators​
-, ::, +, accumulate, all_match, among, at, cartesian_product, collect, contains, contains_all, contains_any, contains_key, count, empty, every, first, first_with, get, group_by, in, index_by, inter, interleave, internal_integrated_value, last, last_with, length, max, max_of, mean, mean_of, median, min, min_of, mul, none_matches, one_matches, one_of, product_of, range, remove_duplicates, reverse, shuffle, sort_by, split, split_in, split_using, sum, sum_of, union, variance_of, where, with_max_of, with_min_of,
Date-related operators​
-, !=, +, <, <=, =, >, >=, after, before, between, every, milliseconds_between, minus_days, minus_hours, minus_minutes, minus_months, minus_ms, minus_weeks, minus_years, months_between, plus_days, plus_hours, plus_minutes, plus_months, plus_ms, plus_weeks, plus_years, since, to, until, years_between,
Dates​
Displays​
edge​
EDP-related operators​
Files-related operators​
copy_file, crs, csv_file, delete_file, dxf_file, evaluate_sub_model, file_exists, folder, folder_exists, gaml_file, geojson_file, get, gif_file, gml_file, graph6_file, graphdimacs_file, graphdot_file, graphgexf_file, graphgml_file, graphml_file, graphtsplib_file, grid_file, image_file, is_csv, is_dxf, is_gaml, is_geojson, is_gif, is_gml, is_graph6, is_graphdimacs, is_graphdot, is_graphgexf, is_graphgml, is_graphml, is_graphtsplib, is_grid, is_image, is_json, is_obj, is_osm, is_pgm, is_property, is_saved_simulation, is_shape, is_svg, is_text, is_threeds, is_xml, json_file, new_folder, obj_file, osm_file, pgm_file, property_file, read, rename_file, saved_simulation_file, shape_file, step_sub_model, svg_file, text_file, threeds_file, unzip, writable, xml_file, zip,
FIPA-related operators​
GamaMaterialType​
GamaMetaType​
Gen*​
add_attribute, add_census_file, add_mapper, add_marginals, add_range_attribute, with_generation_algo,
Graphs-related operators​
add_edge, add_node, adjacency, agent_from_geometry, all_pairs_shortest_path, alpha_index, as_distance_graph, as_edge_graph, as_intersection_graph, as_path, as_spatial_graph, beta_index, betweenness_centrality, biggest_cliques_of, connected_components_of, connectivity_index, contains_edge, contains_vertex, degree_of, directed, edge, edge_between, edge_betweenness, edges, gamma_index, generate_barabasi_albert, generate_complete_graph, generate_random_graph, generate_watts_strogatz, girvan_newman_clustering, grid_cells_to_graph, in_degree_of, in_edges_of, k_spanning_tree_clustering, label_propagation_clustering, layout_circle, layout_force, layout_force_FR, layout_force_FR_indexed, layout_grid, load_shortest_paths, main_connected_component, max_flow_between, maximal_cliques_of, nb_cycles, neighbors_of, node, nodes, out_degree_of, out_edges_of, path_between, paths_between, predecessors_of, remove_node_from, rewire_n, source_of, spatial_graph, strahler, successors_of, sum, target_of, undirected, use_cache, weight_of, with_k_shortest_path_algorithm, with_shortest_path_algorithm, with_weights,
Grid-related operators​
as_4_grid, as_grid, as_hexagonal_grid, cell_at, cells_in, cells_overlapping, field, grid_at, neighbors_of, path_between, points_in, values_in,
Iterator operators​
accumulate, all_match, as_map, collect, count, create_map, first_with, frequency_of, group_by, index_by, last_with, max_of, mean_of, min_of, none_matches, one_matches, product_of, sort_by, sum_of, variance_of, where, where, where, with_max_of, with_min_of,
List-related operators​
all_indexes_of, copy_between, index_of, last_index_of,
Logical operators​
:, !, ?, add_3Dmodel, add_geometry, add_icon, and, or, xor,
Map comparaison operators​
fuzzy_kappa, fuzzy_kappa_sim, kappa, kappa_sim, percent_absolute_deviation,
Map-related operators​
as_map, create_map, index_of, last_index_of,
Matrix-related operators​
-, /, ., *, +, append_horizontally, append_vertically, column_at, columns_list, determinant, eigenvalues, index_of, inverse, last_index_of, row_at, rows_list, shuffle, trace, transpose,
multicriteria operators​
electre_DM, evidence_theory_DM, fuzzy_choquet_DM, promethee_DM, weighted_means_DM,
Path-related operators​
agent_from_geometry, all_pairs_shortest_path, as_path, load_shortest_paths, max_flow_between, path_between, path_to, paths_between, use_cache,
Points-related operators​
-, /, *, +, <, <=, >, >=, add_point, angle_between, any_location_in, centroid, closest_points_with, farthest_point_to, grid_at, norm, points_along, points_at, points_on,
Random operators​
binomial, flip, gamma_density, gamma_rnd, gamma_trunc_rnd, gauss, generate_terrain, lognormal_density, lognormal_rnd, lognormal_trunc_rnd, poisson, rnd, rnd_choice, sample, shuffle, skew_gauss, truncated_gauss, weibull_density, weibull_rnd, weibull_trunc_rnd,
ReverseOperators​
restore_simulation, restore_simulation_from_file, save_simulation, serialize, serialize_agent,
Shape​
arc, box, circle, cone, cone3D, cross, cube, curve, cylinder, ellipse, elliptical_arc, envelope, geometry_collection, hexagon, line, link, plan, polygon, polyhedron, pyramid, rectangle, sphere, square, squircle, teapot, triangle,
Spatial operators​
-, *, +, add_point, agent_closest_to, agent_farthest_to, agents_at_distance, agents_covering, agents_crossing, agents_inside, agents_overlapping, agents_partially_overlapping, agents_touching, angle_between, any_location_in, arc, around, as_4_grid, as_driving_graph, as_grid, as_hexagonal_grid, at_distance, at_location, box, centroid, circle, clean, clean_network, closest_points_with, closest_to, cone, cone3D, convex_hull, covering, covers, cross, crosses, crossing, crs, CRS_transform, cube, curve, cylinder, direction_between, disjoint_from, distance_between, distance_to, ellipse, elliptical_arc, envelope, farthest_point_to, farthest_to, geometry_collection, gini, hexagon, hierarchical_clustering, IDW, inside, inter, intersects, inverse_rotation, line, link, masked_by, moran, neighbors_at, neighbors_of, normalized_rotation, overlapping, overlaps, partially_overlapping, partially_overlaps, path_between, path_to, plan, points_along, points_at, points_on, polygon, polyhedron, pyramid, rectangle, rotated_by, rotation_composition, round, scaled_to, set_z, simple_clustering_by_distance, simplification, skeletonize, smooth, sphere, split_at, split_geometry, split_lines, square, squircle, teapot, to_GAMA_CRS, to_rectangles, to_segments, to_squares, to_sub_geometries, touches, touching, towards, transformed_by, translated_by, triangle, triangulate, union, using, voronoi, with_precision, without_holes,
Spatial properties operators​
covers, crosses, intersects, partially_overlaps, touches,
Spatial queries operators​
agent_closest_to, agent_farthest_to, agents_at_distance, agents_covering, agents_crossing, agents_inside, agents_overlapping, agents_partially_overlapping, agents_touching, at_distance, closest_to, covering, crossing, farthest_to, inside, neighbors_at, neighbors_of, overlapping, partially_overlapping, touching,
Spatial relations operators​
direction_between, distance_between, distance_to, path_between, path_to, towards,
Spatial statistical operators​
hierarchical_clustering, simple_clustering_by_distance,
Spatial transformations operators​
-, *, +, as_4_grid, as_grid, as_hexagonal_grid, at_location, clean, clean_network, convex_hull, CRS_transform, inverse_rotation, normalized_rotation, rotated_by, rotation_composition, scaled_to, simplification, skeletonize, smooth, split_geometry, split_lines, to_GAMA_CRS, to_rectangles, to_segments, to_squares, to_sub_geometries, transformed_by, translated_by, triangulate, voronoi, with_precision, without_holes,
Species-related operators​
index_of, last_index_of, of_generic_species, of_species,
Statistical operators​
auto_correlation, beta, binomial_coeff, binomial_complemented, binomial_sum, build, chi_square, chi_square_complemented, correlation, covariance, dbscan, distribution_of, distribution2d_of, dtw, durbin_watson, frequency_of, gamma, gamma_distribution, gamma_distribution_complemented, geometric_mean, gini, harmonic_mean, hierarchical_clustering, incomplete_beta, incomplete_gamma, incomplete_gamma_complement, kmeans, kurtosis, log_gamma, max, mean, mean_deviation, median, min, moment, moran, mul, normal_area, normal_density, normal_inverse, predict, pValue_for_fStat, pValue_for_tStat, quantile, quantile_inverse, rank_interpolated, rms, simple_clustering_by_distance, skewness, split, split_in, split_using, standard_deviation, student_area, student_t_inverse, sum, t_test, variance,
Strings-related operators​
+, <, <=, >, >=, at, capitalize, char, contains, contains_all, contains_any, copy_between, date, empty, first, in, indented_by, index_of, is_number, last, last_index_of, length, lower_case, regex_matches, replace, replace_regex, reverse, sample, shuffle, split_with, string, upper_case,
SubModel​
System​
., choose, command, copy, copy_to_clipboard, dead, enter, eval_gaml, every, is_error, is_reachable, is_warning, play_sound, user_confirm, user_input_dialog, wizard, wizard_page,
Time-related operators​
Types-related operators​
action, agent, attributes, BDIPlan, bool, container, directory, emotion, file, float, gaml_type, gen_population_generator, gen_range, geometry, graph, int, kml, list, map, matrix, mental_state, Norm, pair, path, point, predicate, regression, rgb, Sanction, skill, social_link, topology, unknown,
User control operators​
choose, enter, user_confirm, user_input_dialog, wizard, wizard_page,
Operators​
sample
​
Possible uses:​
sample
(any expression
) --->string
string
sample
any expression
--->string
sample
(string
,any expression
) --->string
sample
(list
,int
,bool
) --->list
sample
(list
,int
,bool
,list
) --->list
Result:​
takes a sample of the specified size from the elements of x using either with or without replacement takes a sample of the specified size from the elements of x using either with or without replacement with given weights
Examples:​
list var0 <- sample([2,10,1],2,false); // var0 equals [10,1]
list var1 <- sample([2,10,1],2,false,[0.1,0.7,0.2]); // var1 equals [10,2]
Sanction
​
Possible uses:​
Sanction
(any
) --->Sanction
Result:​
casts the operand in a Sanction object.
save_simulation
​
Possible uses:​
save_simulation
(string
) --->int
Result:​
saves the current simulation in a given file
Comment:​
About to be deprecated, the save statement should be used instead.
saved_simulation_file
​
Possible uses:​
saved_simulation_file
(string
) --->file
string
saved_simulation_file
list<agent>
--->file
saved_simulation_file
(string
,list<agent>
) --->file
string
saved_simulation_file
bool
--->file
saved_simulation_file
(string
,bool
) --->file
Result:​
Constructs a file of type saved_simulation. Allowed extensions are limited to gsim, gasim
Special cases:​
- saved_simulation_file(string): Constructor for saved simulation files: read the metadata and content.
- saved_simulation_file(string,list<agent>): Constructor for saved simulation files from a list of agents: it is used with aim of saving a simulation agent.
- saved_simulation_file(string,bool): Constructor for saved simulation files: read the metadata. If and only if the boolean operand is true, the content of the file is read.
See also: is_saved_simulation,
scale
​
Possible uses:​
scale
(map<rgb,unknown>
) --->map<float,rgb>
scale
(map<rgb,unknown>
,float
,float
) --->map<float,rgb>
Result:​
Similar to gradient(map<rgb, float>) but reorders the colors based on their weight and does not normalize them, so as to effectively represent a color scale (i.e. a correspondance between a range of value and a color that implicitly begins with the lowest value)For instance scale([#red::10, #green::0, #blue::30]) would produce the reverse map and associate #green to the interval 0-10, #red to 10-30, and #blue above 30. The main difference in usages is that, for instance in the definition of a mesh to display, a gradient will produce interpolated colors to accomodate for the intermediary values, while a scale will stick to the colors defined. Expects a gradient, i.e. a map<rgb,float>, where values represent the different stops of the colors. First normalizes the passed gradient, and then applies the resulting weights to the interval represented by min and max, so as to return a scale (i.e. absolute values instead of the stops
See also: gradient,
scaled_by
​
Same signification as *
scaled_to
​
Possible uses:​
geometry
scaled_to
point
--->geometry
scaled_to
(geometry
,point
) --->geometry
Result:​
allows to restrict the size of a geometry so that it fits in the envelope {width, height, depth} defined by the second operand
Examples:​
geometry var0 <- shape scaled_to {10,10}; // var0 equals a geometry corresponding to the geometry of the agent applying the operator scaled so that it fits a square of 10x10
select
​
Same signification as where
serialize
​
Possible uses:​
serialize
(unknown
) --->string
Result:​
It serializes any object, i.e.transforms it into a string.
See also: serialize_agent,
serialize_agent
​
Possible uses:​
serialize_agent
(agent
) --->string
Result:​
searializes an agent (i.e. transforms into a string value).
Comment:​
As a simulation is a particular agent, it can be used to serialize a simulation and save it.
See also: serialize,
set_about
​
Possible uses:​
emotion
set_about
predicate
--->emotion
set_about
(emotion
,predicate
) --->emotion
Result:​
change the about value of the given emotion
Examples:​
emotion set_about predicate1
set_agent
​
Possible uses:​
social_link
set_agent
agent
--->social_link
set_agent
(social_link
,agent
) --->social_link
Result:​
change the agent value of the given social link
Examples:​
social_link set_agent agentA
set_agent_cause
​
Possible uses:​
emotion
set_agent_cause
agent
--->emotion
set_agent_cause
(emotion
,agent
) --->emotion
predicate
set_agent_cause
agent
--->predicate
set_agent_cause
(predicate
,agent
) --->predicate
Result:​
change the agentCause value of the given emotion change the agentCause value of the given predicate
Examples:​
new_emotion set_agent_cause agentA
predicate set_agent_cause agentA
set_decay
​
Possible uses:​
emotion
set_decay
float
--->emotion
set_decay
(emotion
,float
) --->emotion
Result:​
change the decay value of the given emotion
Examples:​
emotion set_decay 12
set_dominance
​
Possible uses:​
social_link
set_dominance
float
--->social_link
set_dominance
(social_link
,float
) --->social_link
Result:​
change the dominance value of the given social link
Examples:​
social_link set_dominance 0.4
set_familiarity
​
Possible uses:​
social_link
set_familiarity
float
--->social_link
set_familiarity
(social_link
,float
) --->social_link
Result:​
change the familiarity value of the given social link
Examples:​
social_link set_familiarity 0.4
set_intensity
​
Possible uses:​
emotion
set_intensity
float
--->emotion
set_intensity
(emotion
,float
) --->emotion
Result:​
change the intensity value of the given emotion
Examples:​
emotion set_intensity 12
set_lifetime
​
Possible uses:​
mental_state
set_lifetime
int
--->mental_state
set_lifetime
(mental_state
,int
) --->mental_state
Result:​
change the lifetime value of the given mental state
Examples:​
mental state set_lifetime 1
set_liking
​
Possible uses:​
social_link
set_liking
float
--->social_link
set_liking
(social_link
,float
) --->social_link
Result:​
change the liking value of the given social link
Examples:​
social_link set_liking 0.4
set_modality
​
Possible uses:​
mental_state
set_modality
string
--->mental_state
set_modality
(mental_state
,string
) --->mental_state
Result:​
change the modality value of the given mental state
Examples:​
mental state set_modality belief
set_predicate
​
Possible uses:​
mental_state
set_predicate
predicate
--->mental_state
set_predicate
(mental_state
,predicate
) --->mental_state
Result:​
change the predicate value of the given mental state
Examples:​
mental state set_predicate pred1
set_solidarity
​
Possible uses:​
social_link
set_solidarity
float
--->social_link
set_solidarity
(social_link
,float
) --->social_link
Result:​
change the solidarity value of the given social link
Examples:​
social_link set_solidarity 0.4
set_strength
​
Possible uses:​
mental_state
set_strength
float
--->mental_state
set_strength
(mental_state
,float
) --->mental_state
Result:​
change the strength value of the given mental state
Examples:​
mental state set_strength 1.0
set_trust
​
Possible uses:​
social_link
set_trust
float
--->social_link
set_trust
(social_link
,float
) --->social_link
Result:​
change the trust value of the given social link
Examples:​
social_link set_familiarity 0.4
set_truth
​
Possible uses:​
predicate
set_truth
bool
--->predicate
set_truth
(predicate
,bool
) --->predicate
Result:​
change the is_true value of the given predicate
Examples:​
predicate set_truth false
set_z
​
Possible uses:​
geometry
set_z
container<unknown,float>
--->geometry
set_z
(geometry
,container<unknown,float>
) --->geometry
set_z
(geometry
,int
,float
) --->geometry
Result:​
Sets the z ordinate of the n-th point of a geometry to the value provided by the third argument
Examples:​
triangle(3) set_z [5,10,14]
set_z (triangle(3), 1, 3.0)
shape_file
​
Possible uses:​
shape_file
(string
) --->file
string
shape_file
int
--->file
shape_file
(string
,int
) --->file
string
shape_file
string
--->file
shape_file
(string
,string
) --->file
string
shape_file
bool
--->file
shape_file
(string
,bool
) --->file
shape_file
(string
,int
,bool
) --->file
shape_file
(string
,string
,bool
) --->file
Result:​
Constructs a file of type shape. Allowed extensions are limited to shp
Special cases:​
- shape_file(string): This file constructor allows to read a shapefile (.shp) file
file f <- shape_file("file.shp");
- shape_file(string,int): This file constructor allows to read a shapefile (.shp) file and specifying the coordinates system code, as an int (epsg code)
file f <- shape_file("file.shp", "32648");
- shape_file(string,string): This file constructor allows to read a shapefile (.shp) file and specifying the coordinates system code (epg,...,), as a string
file f <- shape_file("file.shp", "EPSG:32648");
- shape_file(string,bool): This file constructor allows to read a shapefile (.shp) file and take a potential z value (not taken in account by default)
file f <- shape_file("file.shp", true);
- shape_file(string,int,bool): This file constructor allows to read a shapefile (.shp) file and specifying the coordinates system code, as an int (epsg code) and take a potential z value (not taken in account by default)
file f <- shape_file("file.shp", "32648", true);
- shape_file(string,string,bool): This file constructor allows to read a shapefile (.shp) file and specifying the coordinates system code (epg,...,), as a string and take a potential z value (not taken in account by default)
file f <- shape_file("file.shp", "EPSG:32648",true);
See also: is_shape,
shuffle
​
Possible uses:​
shuffle
(matrix
) --->matrix
shuffle
(container
) --->list
shuffle
(string
) --->string
Result:​
The elements of the operand in random order.
Special cases:​
- if the operand is empty, returns an empty list (or string, matrix)
Examples:​
matrix var0 <- shuffle (matrix([["c11","c12","c13"],["c21","c22","c23"]])); // var0 equals matrix([["c12","c21","c11"],["c13","c22","c23"]]) (for example)
list var1 <- shuffle ([12, 13, 14]); // var1 equals [14,12,13] (for example)
string var2 <- shuffle ('abc'); // var2 equals 'bac' (for example)
See also: reverse,
signum
​
Possible uses:​
signum
(float
) --->int
Result:​
Returns -1 if the argument is negative, +1 if it is positive, 0 if it is equal to zero or not a number
Examples:​
int var0 <- signum(-12); // var0 equals -1
int var1 <- signum(14); // var1 equals 1
int var2 <- signum(0); // var2 equals 0
simple_clustering_by_distance
​
Possible uses:​
container<unknown,agent>
simple_clustering_by_distance
float
--->list<list<agent>>
simple_clustering_by_distance
(container<unknown,agent>
,float
) --->list<list<agent>>
Result:​
A list of agent groups clustered by distance considering a distance min between two groups.
Examples:​
list<list<agent>> var0 <- [ag1, ag2, ag3, ag4, ag5] simpleClusteringByDistance 20.0; // var0 equals for example, can return [[ag1, ag3], [ag2], [ag4, ag5]]
See also: hierarchical_clustering,
simple_clustering_by_envelope_distance
​
Same signification as simple_clustering_by_distance
simplification
​
Possible uses:​
geometry
simplification
float
--->geometry
simplification
(geometry
,float
) --->geometry
Result:​
A geometry corresponding to the simplification of the operand (geometry, agent, point) considering a tolerance distance.
Comment:​
The algorithm used for the simplification is Douglas-Peucker
Examples:​
geometry var0 <- self simplification 0.1; // var0 equals the geometry resulting from the application of the Douglas-Peuker algorithm on the geometry of the agent applying the operator with a tolerance distance of 0.1.
sin
​
Possible uses:​
sin
(int
) --->float
sin
(float
) --->float
Result:​
Returns the value (in [-1,1]) of the sinus of the operand (in decimal degrees). The argument is casted to an int before being evaluated.
Special cases:​
- Operand values out of the range [0-359] are normalized.
Examples:​
float var0 <- sin (0); // var0 equals 0.0
float var1 <- sin(360) with_precision 10 with_precision 10; // var1 equals 0.0
sin_rad
​
Possible uses:​
sin_rad
(float
) --->float
Result:​
Returns the value (in [-1,1]) of the sinus of the operand (in radians).
Examples:​
float var0 <- sin_rad(0); // var0 equals 0.0
float var1 <- sin_rad(#pi/2); // var1 equals 1.0
since
​
Possible uses:​
since
(date
) --->bool
any expression
since
date
--->bool
since
(any expression
,date
) --->bool
Result:​
Returns true if the current_date of the model is after (or equal to) the date passed in argument. Synonym of 'current_date >= argument'. Can be used, like 'after', in its composed form with 2 arguments to express the lowest boundary of the computation of a frequency. However, contrary to 'after', there is a subtle difference: the lowest boundary will be tested against the frequency as well
Examples:​
reflex when: since(starting_date) {} // this reflex will always be run
every(2#days) since (starting_date + 1#day) // the computation will return true 1 day after the starting date and every two days after this reference date
skeletonize
​
Possible uses:​
skeletonize
(geometry
) --->list<geometry>
geometry
skeletonize
float
--->list<geometry>
skeletonize
(geometry
,float
) --->list<geometry>
skeletonize
(geometry
,float
,float
) --->list<geometry>
skeletonize
(geometry
,float
,float
,bool
) --->list<geometry>
Result:​
A list of geometries (polylines) corresponding to the skeleton of the operand geometry (geometry, agent)
Special cases:​
- It can be used with 1 additional float operand: the tolerance for the clipping.
- It can be used with 3 additional float operands: the tolerance for the clipping, the tolerance for the triangulation, and the approximation for the clipping.
- It can be used with 2 additional float operands: the tolerances for the clipping and for the triangulation
Examples:​
list<geometry> var0 <- skeletonize(self); // var0 equals the list of geometries corresponding to the skeleton of the geometry of the agent applying the operator.
skew
​
Same signification as skewness
skew_gauss
​
Possible uses:​
skew_gauss
(float
,float
,float
,float
) --->float
Result:​
A value from a skew normally distributed random variable with min value (the minimum skewed value possible), max value (the maximum skewed value possible), skew (the degree to which the values cluster around the mode of the distribution; higher values mean tighter clustering) and bias (the tendency of the mode to approach the min, max or midpoint value; positive values bias toward max, negative values toward min).The algorithm was taken from http://stackoverflow.com/questions/5853187/skewing-java-random-number-generation-toward-a-certain-number
Examples:​
float var0 <- skew_gauss(0.0, 1.0, 0.7,0.1); // var0 equals 0.1729218460343077
See also: binomial, gamma_rnd, gauss_rnd, lognormal_rnd, poisson, rnd, truncated_gauss, weibull_rnd,
skewness
​
Possible uses:​
skewness
(list
) --->float
Result:​
returns skewness value computed from the operand list of values
Special cases:​
- if the length of the list is lower than 3, returns NaN
Examples:​
float var0 <- skewness ([1,2,3,4,5]); // var0 equals 0.0
skill
​
Possible uses:​
skill
(any
) --->skill
Result:​
casts the operand in a skill object.
smooth
​
Possible uses:​
geometry
smooth
float
--->geometry
smooth
(geometry
,float
) --->geometry
Result:​
Returns a 'smoothed' geometry, where straight lines are replaces by polynomial (bicubic) curves. The first parameter is the original geometry, the second is the 'fit' parameter which can be in the range 0 (loose fit) to 1 (tightest fit).
Examples:​
geometry var0 <- smooth(square(10), 0.0); // var0 equals a 'rounded' square
social_link
​
Possible uses:​
social_link
(any
) --->social_link
Result:​
casts the operand in a social_link object.
solid
​
Same signification as without_holes
sort
​
Same signification as sort_by
sort_by
​
Possible uses:​
container
sort_by
any expression
--->list
sort_by
(container
,any expression
) --->list
Result:​
Returns a list, containing the elements of the left-hand operand sorted in ascending order by the value of the right-hand operand when it is evaluated on them.
Comment:​
the left-hand operand is casted to a list before applying the operator. In the right-hand operand, the keyword each can be used to represent, in turn, each of the elements.
Special cases:​
- if the left-hand operand is nil, sort_by throws an error. If the sorting function returns values that cannot be compared, an error will be thrown as well
Examples:​
list var0 <- [1,2,4,3,5,7,6,8] sort_by (each); // var0 equals [1,2,3,4,5,6,7,8]
list var2 <- g2 sort_by (length(g2 out_edges_of each) ); // var2 equals [node9, node7, node10, node8, node11, node6, node5, node4]
list var3 <- (list(node) sort_by (round(node(each).location.x)); // var3 equals [node5, node1, node0, node2, node3]
list var4 <- [1::2, 5::6, 3::4] sort_by (each); // var4 equals [2, 4, 6]
See also: group_by,
source_of
​
Possible uses:​
graph
source_of
unknown
--->unknown
source_of
(graph
,unknown
) --->unknown
Result:​
returns the source of the edge (right-hand operand) contained in the graph given in left-hand operand.
Special cases:​
- if the lef-hand operand (the graph) is nil, throws an Exception
Examples:​
graph graphEpidemio <- generate_barabasi_albert( ["edges_species"::edge,"vertices_specy"::node,"size"::3,"m"::5] );
unknown var1 <- graphEpidemio source_of(edge(3)); // var1 equals node1
graph graphFromMap <- as_edge_graph([{1,5}::{12,45},{12,45}::{34,56}]);
point var3 <- graphFromMap source_of(link({1,5},{12,45})); // var3 equals {1,5}
See also: target_of,
spatial_graph
​
Possible uses:​
spatial_graph
(container
) --->graph
Result:​
allows to create a spatial graph from a container of vertices, without trying to wire them. The container can be empty. Emits an error if the contents of the container are not geometries, points or agents
See also: graph,
species
​
Possible uses:​
species
(unknown
) --->species
Result:​
casting of the operand to a species.
Special cases:​
- if the operand is nil, returns nil;
- if the operand is an agent, returns its species;
- if the operand is a string, returns the species with this name (nil if not found);
- otherwise, returns nil
Examples:​
species var0 <- species(self); // var0 equals the species of the current agent
species var1 <- species('node'); // var1 equals node
species var2 <- species([1,5,9,3]); // var2 equals nil
species var3 <- species(node1); // var3 equals node
species_of
​
Same signification as species
sphere
​
Possible uses:​
sphere
(float
) --->geometry
Result:​
A sphere geometry which radius is equal to the operand.
Comment:​
the centre of the sphere is by default the location of the current agent in which has been called this operator.
Special cases:​
- returns a point if the operand is lower or equal to 0.
Examples:​
geometry var0 <- sphere(10); // var0 equals a geometry as a circle of radius 10 but displays a sphere.
See also: around, cone, line, link, norm, point, polygon, polyline, rectangle, square, triangle,
split
​
Possible uses:​
split
(list<unknown>
) --->list<list<unknown>>
Result:​
Splits a list of numbers into n=(1+3.3*log10(elements)) bins. The splitting is strict (i.e. elements are in the ith bin if they are strictly smaller than the ith bound)
Examples:​
list<list<unknown>> var0 <- split([1.0,2.0,1.0,3.0,1.0,2.0]); // var0 equals [[1.0,1.0,1.0],[2.0,2.0],[3.0]]
See also: split_in, split_using,
split_at
​
Possible uses:​
geometry
split_at
point
--->list<geometry>
split_at
(geometry
,point
) --->list<geometry>
Result:​
The two part of the left-operand lines split at the given right-operand point
Special cases:​
- if the left-operand is a point or a polygon, returns an empty list
Examples:​
list<geometry> var0 <- polyline([{1,2},{4,6}]) split_at {7,6}; // var0 equals [polyline([{1.0,2.0},{7.0,6.0}]), polyline([{7.0,6.0},{4.0,6.0}])]
split_geometry
​
Possible uses:​
geometry
split_geometry
point
--->list<geometry>
split_geometry
(geometry
,point
) --->list<geometry>
geometry
split_geometry
float
--->list<geometry>
split_geometry
(geometry
,float
) --->list<geometry>
split_geometry
(geometry
,int
,int
) --->list<geometry>
Result:​
A list of geometries that result from the decomposition of the geometry by square cells of the given side size (geometry, size). It can be used to split in rectangles by giving a point or 2 integer values as operand.
Examples:​
list<geometry> var0 <- to_rectangles(self, 10,20); // var0 equals the list of the geometries corresponding to the decomposition of the geometry of the agent applying the operator
list<geometry> var1 <- to_rectangles(self, {10.0, 15.0}); // var1 equals the list of the geometries corresponding to the decomposition of the geometry by rectangles of size 10.0, 15.0
list<geometry> var2 <- to_squares(self, 10.0); // var2 equals the list of the geometries corresponding to the decomposition of the geometry by squares of side size 10.0
split_in
​
Possible uses:​
list<unknown>
split_in
int
--->list<list<unknown>>
split_in
(list<unknown>
,int
) --->list<list<unknown>>
split_in
(list<unknown>
,int
,bool
) --->list<list<unknown>>
Result:​
Splits a list of numbers into n bins defined by n-1 bounds between the minimum and maximum values found in the first argument. The boolean argument controls whether or not the splitting is strict (if true, elements are in the ith bin if they are strictly smaller than the ith bound) Splits a list of numbers into n bins defined by n-1 bounds between the minimum and maximum values found in the first argument. The splitting is strict (i.e. elements are in the ith bin if they are strictly smaller than the ith bound)
Examples:​
list<float> l <- [1.0,3.1,5.2,6.0,9.2,11.1,12.0,13.0,19.9,35.9,40.0];
list<list<unknown>> var1 <- split_in(l,3, true); // var1 equals [[1.0,3.1,5.2,6.0,9.2,11.1,12.0,13.0],[19.9],[35.9,40.0]]
list<float> li <- [1.0,3.1,5.2,6.0,9.2,11.1,12.0,13.0,19.9,35.9,40.0];
list<list<unknown>> var3 <- split_in(li,3); // var3 equals [[1.0,3.1,5.2,6.0,9.2,11.1,12.0,13.0],[19.9],[35.9,40.0]]
See also: split, split_using,
split_lines
​
Possible uses:​
split_lines
(container<unknown,geometry>
) --->list<geometry>
container<unknown,geometry>
split_lines
bool
--->list<geometry>
split_lines
(container<unknown,geometry>
,bool
) --->list<geometry>
Result:​
A list of geometries resulting after cutting the lines at their intersections. if the last boolean operand is set to true, the split lines will import the attributes of the initial lines A list of geometries resulting after cutting the lines at their intersections.
Examples:​
list<geometry> var0 <- split_lines([line([{0,10}, {20,10}]), line([{0,10}, {20,10}])]); // var0 equals a list of four polylines: line([{0,10}, {10,10}]), line([{10,10}, {20,10}]), line([{10,0}, {10,10}]) and line([{10,10}, {10,20}])
list<geometry> var1 <- split_lines([line([{0,10}, {20,10}]), line([{0,10}, {20,10}])]); // var1 equals a list of four polylines: line([{0,10}, {10,10}]), line([{10,10}, {20,10}]), line([{10,0}, {10,10}]) and line([{10,10}, {10,20}])
split_using
​
Possible uses:​
list<unknown>
split_using
list<unknown>
--->list<list<unknown>>
split_using
(list<unknown>
,list<unknown>
) --->list<list<unknown>>
split_using
(list<unknown>
,list<unknown>
,bool
) --->list<list<unknown>>
Result:​
Splits a list of numbers into n+1 bins using a set of n bounds passed as the second argument. The splitting is strict (i.e. elements are in the ith bin if they are strictly smaller than the ith bound), when no boolean attribute is specified.
Examples:​
list<float> li <- [1.0,3.1,5.2,6.0,9.2,11.1,12.0,13.0,19.9,35.9,40.0];
list<list<unknown>> var1 <- split_using(li,[1.0,3.0,4.2]); // var1 equals [[],[1.0],[3.1],[5.2,6.0,9.2,11.1,12.0,13.0,19.9,35.9,40.0]]
list<float> l <- [1.0,3.1,5.2,6.0,9.2,11.1,12.0,13.0,19.9,35.9,40.0];
list<list<unknown>> var3 <- split_using(l,[1.0,3.0,4.2], true); // var3 equals [[],[1.0],[3.1],[5.2,6.0,9.2,11.1,12.0,13.0,19.9,35.9,40.0]]
split_with
​
Possible uses:​
string
split_with
string
--->list
split_with
(string
,string
) --->list
split_with
(string
,string
,bool
) --->list
Result:​
Returns a list containing the sub-strings (tokens) of the left-hand operand delimited by each of the characters of the right-hand operand.
Comment:​
Delimiters themselves are excluded from the resulting list.
Special cases:​
- when used with an additional boolean operand, it returns a list containing the sub-strings (tokens) of the left-hand operand delimited either by each of the characters of the right-hand operand (false) or by the whole right-hand operand (true).
Examples:​
list var0 <- 'to be or not to be,that is the question' split_with ' ,'; // var0 equals ['to','be','or','not','to','be','that','is','the','question']
list var1 <- 'aa::bb:cc' split_with ('::', true); // var1 equals ['aa','bb:cc']
list var2 <- 'aa::bb:cc' split_with ('::', false); // var2 equals ['aa','bb','cc']
sqrt
​
Possible uses:​
sqrt
(int
) --->float
sqrt
(float
) --->float
Result:​
Returns the square root of the operand.
Special cases:​
- if the operand is negative, an exception is raised
Examples:​
float var0 <- sqrt(4); // var0 equals 2.0
float var1 <- sqrt(4); // var1 equals 2.0
square
​
Possible uses:​
square
(float
) --->geometry
Result:​
A square geometry which side size is equal to the operand.
Comment:​
the centre of the square is by default the location of the current agent in which has been called this operator.
Special cases:​
- returns nil if the operand is nil.
Examples:​
geometry var0 <- square(10); // var0 equals a geometry as a square of side size 10.
float var1 <- var0.area; // var1 equals 100.0
See also: around, circle, cone, line, link, norm, point, polygon, polyline, rectangle, triangle,
squircle
​
Possible uses:​
float
squircle
float
--->geometry
squircle
(float
,float
) --->geometry
Result:​
A mix of square and circle geometry (see : http://en.wikipedia.org/wiki/Squircle), which side size is equal to the first operand and power is equal to the second operand
Comment:​
the center of the ellipse is by default the location of the current agent in which has been called this operator.
Special cases:​
- returns a point if the side operand is lower or equal to 0.
Examples:​
geometry var0 <- squircle(4,4); // var0 equals a geometry as a squircle of side 4 with a power of 4.
See also: around, cone, line, link, norm, point, polygon, polyline, super_ellipse, rectangle, square, circle, ellipse, triangle,
stack
​
Possible uses:​
stack
(list<int>
) --->unknown<string>
Result:​
Creates a stack layout node. Stacks can only contain one or several indices of displays (without weight)
standard_deviation
​
Possible uses:​
standard_deviation
(container
) --->float
Result:​
the standard deviation on the elements of the operand. See Standard_deviation for more details.
Comment:​
The operator casts all the numerical element of the list into float. The elements that are not numerical are discarded.
Examples:​
float var0 <- standard_deviation ([4.5, 3.5, 5.5, 7.0]); // var0 equals 1.2930100540985752
See also: mean, mean_deviation,
step_sub_model
​
Possible uses:​
step_sub_model
(agent
) --->int
Result:​
Load a submodel
Comment:​
loaded submodel
strahler
​
Possible uses:​
strahler
(graph
) --->map
Result:​
retur for each edge, its strahler number
string
​
Possible uses:​
date
string
string
--->string
string
(date
,string
) --->string
string
(date
,string
,string
) --->string
Result:​
converts a date to astring following a custom pattern. The pattern can use "%Y %M %N %D %E %h %m %s %z" for outputting years, months, name of month, days, name of days, hours, minutes, seconds and the time-zone. A null or empty pattern will return the complete date as defined by the ISO date & time format. The pattern can also follow the pattern definition found here, which gives much more control over the format of the date: https://docs.oracle.com/javase/8/docs/api/java/time/format/DateTimeFormatter.html#patterns. Different patterns are available by default as constants: #iso_local, #iso_simple, #iso_offset, #iso_zoned and #custom, which can be changed in the preferences
Examples:​
string(#now, 'yyyy-MM-dd', 'en')
string(#now, 'yyyy-MM-dd')
student_area
​
Possible uses:​
float
student_area
int
--->float
student_area
(float
,int
) --->float
Result:​
Returns the area to the left of x in the Student T distribution with the given degrees of freedom.
Examples:​
float var0 <- student_area(1.64,3) with_precision(2); // var0 equals 0.9
student_t_inverse
​
Possible uses:​
float
student_t_inverse
int
--->float
student_t_inverse
(float
,int
) --->float
Result:​
Returns the value, t, for which the area under the Student-t probability density function (integrated from minus infinity to t) is equal to x.
Examples:​
float var0 <- student_t_inverse(0.9,3) with_precision(2); // var0 equals 1.64
subtract_days
​
Same signification as minus_days
subtract_hours
​
Same signification as minus_hours
subtract_minutes
​
Same signification as minus_minutes
subtract_months
​
Same signification as minus_months
subtract_ms
​
Same signification as minus_ms
subtract_seconds
​
Same signification as -
subtract_weeks
​
Same signification as minus_weeks
subtract_years
​
Same signification as minus_years
successors_of
​
Possible uses:​
graph
successors_of
unknown
--->list
successors_of
(graph
,unknown
) --->list
Result:​
returns the list of successors (i.e. targets of out edges) of the given vertex (right-hand operand) in the given graph (left-hand operand)
Examples:​
list var1 <- graphEpidemio successors_of ({1,5}); // var1 equals [{12,45}]
list var2 <- graphEpidemio successors_of node({34,56}); // var2 equals []
See also: predecessors_of, neighbors_of,
sum
​
Possible uses:​
sum
(graph
) --->float
sum
(container
) --->unknown
Result:​
the sum of all the elements of the operand
Comment:​
the behavior depends on the nature of the operand
Special cases:​
- if it is a population or a list of other types: sum transforms all elements into float and sums them
- if it is a map, sum returns the sum of the value of all elements
- if it is a file, sum returns the sum of the content of the file (that is also a container)
- if it is a graph, sum returns the total weight of the graph
- if it is a matrix of int, float or object, sum returns the sum of all the numerical elements (i.e. all elements for integer and float matrices)
- if it is a matrix of other types: sum transforms all elements into float and sums them
- if it is a list of colors: sum will sum them and return the blended resulting color
- if it is a list of int or float: sum returns the sum of all the elements
int var0 <- sum ([12,10,3]); // var0 equals 25
- if it is a list of points: sum returns the sum of all points as a point (each coordinate is the sum of the corresponding coordinate of each element)
unknown var1 <- sum([{1.0,3.0},{3.0,5.0},{9.0,1.0},{7.0,8.0}]); // var1 equals {20.0,17.0}
See also: mul,
sum_of
​
Possible uses:​
container
sum_of
any expression
--->unknown
sum_of
(container
,any expression
) --->unknown
Result:​
the sum of the right-hand expression evaluated on each of the elements of the left-hand operand
Comment:​
in the right-hand operand, the keyword each can be used to represent, in turn, each of the right-hand operand elements.
Special cases:​
- if the left-operand is a map, the keyword each will contain each value
unknown var1 <- [1::2, 3::4, 5::6] sum_of (each + 3); // var1 equals 21
Examples:​
unknown var0 <- [1,2] sum_of (each * 100 ); // var0 equals 300
See also: min_of, max_of, product_of, mean_of,
svg_file
​
Possible uses:​
svg_file
(string
) --->file
string
svg_file
point
--->file
svg_file
(string
,point
) --->file
Result:​
Constructs a file of type svg. Allowed extensions are limited to svg
Special cases:​
- svg_file(string): This file constructor allows to read a svg file
file f <-svg_file("file.svg");
- svg_file(string,point): This file constructor allows to read a svg file, specifying the size of the bounding box
file f <-svg_file("file.svg", {10,10});
See also: is_svg,
t_test
​
Possible uses:​
list
t_test
list
--->float
t_test
(list
,list
) --->float
Result:​
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the two input lists.The number returned is the smallest significance level at which one can reject the null hypothesis
Examples:​
float var0 <- t_test([10.0,5.0,1.0, 3.0],[1.0,10.0,5.0,1.0]); // var0 equals 0.01
tan
​
Possible uses:​
tan
(int
) --->float
tan
(float
) --->float
Result:​
Returns the value (in [-1,1]) of the trigonometric tangent of the operand (in decimal degrees).
Special cases:​
- Operand values out of the range [0-359] are normalized. Notice that tan(360) does not return 0.0 but -2.4492935982947064E-16
- The tangent is only defined for any real number except 90 + k
*
180 (k an positive or negative integer). Nevertheless notice that tan(90) returns 1.633123935319537E16 (whereas we could except infinity).
Examples:​
float var0 <- tan (0); // var0 equals 0.0
float var1 <- tan(90); // var1 equals 1.633123935319537E16
tan_rad
​
Possible uses:​
tan_rad
(float
) --->float
Result:​
Returns the value (in [-1,1]) of the trigonometric tangent of the operand (in radians).
Examples:​
float var0 <- tan_rad(0); // var0 equals 0.0
tanh
​
Possible uses:​
tanh
(float
) --->float
tanh
(int
) --->float
Result:​
Returns the value (in the interval [-1,1]) of the hyperbolic tangent of the operand (which can be any real number, expressed in decimal degrees).
Examples:​
float var0 <- tanh(0); // var0 equals 0.0
float var1 <- tanh(100); // var1 equals 1.0
target_of
​
Possible uses:​
graph
target_of
unknown
--->unknown
target_of
(graph
,unknown
) --->unknown
Result:​
returns the target of the edge (right-hand operand) contained in the graph given in left-hand operand.
Special cases:​
- if the lef-hand operand (the graph) is nil, returns nil
Examples:​
graph graphEpidemio <- generate_barabasi_albert( ["edges_species"::edge,"vertices_specy"::node,"size"::3,"m"::5] );
unknown var1 <- graphEpidemio source_of(edge(3)); // var1 equals node1
graph graphFromMap <- as_edge_graph([{1,5}::{12,45},{12,45}::{34,56}]);
unknown var3 <- graphFromMap target_of(link({1,5},{12,45})); // var3 equals {12,45}
See also: source_of,
teapot
​
Possible uses:​
teapot
(float
) --->geometry
Result:​
A teapot geometry which radius is equal to the operand.
Comment:​
the centre of the teapot is by default the location of the current agent in which has been called this operator.
Special cases:​
- returns a point if the operand is lower or equal to 0.
Examples:​
geometry var0 <- teapot(10); // var0 equals a geometry as a circle of radius 10 but displays a teapot.
See also: around, cone, line, link, norm, point, polygon, polyline, rectangle, square, triangle,
text_file
​
Possible uses:​
text_file
(string
) --->file
string
text_file
list<string>
--->file
text_file
(string
,list<string>
) --->file
Result:​
Constructs a file of type text. Allowed extensions are limited to txt, data, text
Special cases:​
- text_file(string): This file constructor allows to read a text file (.txt, .data, .text)
file f <-text_file("file.txt");
- text_file(string,list<string>): This file constructor allows to store a list of string in a text file (it does not save it - just store it in memory)
file f <-text_file("file.txt", ["item1","item2","item3"]);
See also: is_text,
TGauss
​
Same signification as truncated_gauss
threeds_file
​
Possible uses:​
threeds_file
(string
) --->file
Result:​
Constructs a file of type threeds. Allowed extensions are limited to 3ds, max
Special cases:​
- threeds_file(string): This file constructor allows to read a 3DS Max file. Only loads vertices and faces
threeds_file f <- threeds_file("file");
See also: is_threeds,
to
​
Same signification as until
Possible uses:​
date
to
date
--->list<date>
to
(date
,date
) --->list<date>
Result:​
builds an interval between two dates (the first inclusive and the second exclusive, which behaves like a read-only list of dates. The default step between two dates is the step of the model
Comment:​
The default step can be overruled by using the every operator applied to this interval
Examples:​
date('2000-01-01') to date('2010-01-01') // builds an interval between these two dates
(date('2000-01-01') to date('2010-01-01')) every (#month) // builds an interval between these two dates which contains all the monthly dates starting from the beginning of the interval
See also: every,
to_GAMA_CRS
​
Possible uses:​
to_GAMA_CRS
(geometry
) --->geometry
geometry
to_GAMA_CRS
string
--->geometry
to_GAMA_CRS
(geometry
,string
) --->geometry
Special cases:​
- returns the geometry corresponding to the transformation of the given geometry to the GAMA CRS (Coordinate Reference System) assuming the given geometry is referenced by given CRS
geometry var0 <- to_GAMA_CRS({121,14}, "EPSG:4326"); // var0 equals a geometry corresponding to the agent geometry transformed into the GAMA CRS
- returns the geometry corresponding to the transformation of the given geometry to the GAMA CRS (Coordinate Reference System) assuming the given geometry is referenced by the current CRS, the one corresponding to the world's agent one
geometry var1 <- to_GAMA_CRS({121,14}); // var1 equals a geometry corresponding to the agent geometry transformed into the GAMA CRS
to_gaml
​
Possible uses:​
to_gaml
(unknown
) --->string
Result:​
returns the literal description of an expression or description -- action, behavior, species, aspect, even model -- in gaml
Examples:​
string var0 <- to_gaml(0); // var0 equals '0'
string var1 <- to_gaml(3.78); // var1 equals '3.78'
string var2 <- to_gaml({23, 4.0}); // var2 equals '{23.0,4.0,0.0}'
string var3 <- to_gaml(rgb(255,0,125)); // var3 equals 'rgb (255, 0, 125,255)'
string var4 <- to_gaml('hello'); // var4 equals "'hello'"
string var5 <- to_gaml(a_graph); // var5 equals ([((1 as node)::(3 as node))::(5 as edge),((0 as node)::(3 as node))::(3 as edge),((1 as node)::(2 as node))::(1 as edge),((0 as node)::(2 as node))::(2 as edge),((0 as node)::(1 as node))::(0 as edge),((2 as node)::(3 as node))::(4 as edge)] as map ) as graph
string var6 <- to_gaml(node1); // var6 equals 1 as node
to_rectangles
​
Same signification as split_geometry
Possible uses:​
to_rectangles
(geometry
,point
,bool
) --->list<geometry>
to_rectangles
(geometry
,int
,int
,bool
) --->list<geometry>
Result:​
A list of rectangles of the size corresponding to the given dimension that result from the decomposition of the geometry into rectangles (geometry, dimension, overlaps), if overlaps = true, add the rectangles that overlap the border of the geometry
Examples:​
list<geometry> var0 <- to_rectangles(self, {10.0, 15.0}, true); // var0 equals the list of rectangles of size {10.0, 15.0} corresponding to the discretization into rectangles of the geometry of the agent applying the operator. The rectangles overlapping the border of the geometry are kept
list<geometry> var1 <- to_rectangles(self, 5, 20, true); // var1 equals the list of rectangles corresponding to the discretization by a grid of 5 columns and 20 rows into rectangles of the geometry of the agent applying the operator. The rectangles overlapping the border of the geometry are kept
to_segments
​
Possible uses:​
to_segments
(geometry
) --->list<geometry>
Result:​
A list of a segments resulting from the decomposition of the geometry (or its contours for polygons) into sgements
Examples:​
list<geometry> var0 <- to_segments(line([{10,10},{80,10},{80,80}])); // var0 equals [line([{10,10},{80,10}]), line([{80,10},{80,80}])]
to_squares
​
Possible uses:​
to_squares
(geometry
,float
,bool
) --->list<geometry>
to_squares
(geometry
,int
,bool
) --->list<geometry>
to_squares
(geometry
,int
,bool
,float
) --->list<geometry>
Result:​
A list of squares of the size corresponding to the given size that result from the decomposition of the geometry into squares (geometry, size, overlaps), if overlaps = true, add the squares that overlap the border of the geometry A list of a given number of squares from the decomposition of the geometry into squares (geometry, nb_square, overlaps), if overlaps = true, add the squares that overlap the border of the geometry A list of a given number of squares from the decomposition of the geometry into squares (geometry, nb_square, overlaps, precision_coefficient), if overlaps = true, add the squares that overlap the border of the geometry, coefficient_precision should be close to 1.0
Examples:​
list<geometry> var0 <- to_squares(self, 10.0, true); // var0 equals the list of squares of side size 10.0 corresponding to the discretization into squares of the geometry of the agent applying the operator. The squares overlapping the border of the geometry are kept
list<geometry> var1 <- to_squares(self, 10, true); // var1 equals the list of 10 squares corresponding to the discretization into squares of the geometry of the agent applying the operator. The squares overlapping the border of the geometry are kept
list<geometry> var2 <- to_squares(self, 10, true, 0.99); // var2 equals the list of 10 squares corresponding to the discretization into squares of the geometry of the agent applying the operator. The squares overlapping the border of the geometry are kept
to_sub_geometries
​
Possible uses:​
geometry
to_sub_geometries
list<float>
--->list<geometry>
to_sub_geometries
(geometry
,list<float>
) --->list<geometry>
to_sub_geometries
(geometry
,list<float>
,float
) --->list<geometry>
Result:​
A list of geometries resulting after spliting the geometry into sub-geometries.
Examples:​
list<geometry> var0 <- to_sub_geometries(rectangle(10, 50), [0.1, 0.5, 0.4], 1.0); // var0 equals a list of three geometries corresponding to 3 sub-geometries using cubes of 1m size
list<geometry> var1 <- to_sub_geometries(rectangle(10, 50), [0.1, 0.5, 0.4]); // var1 equals a list of three geometries corresponding to 3 sub-geometries
to_triangles
​
Same signification as triangulate
tokenize
​
Same signification as split_with
topology
​
Possible uses:​
topology
(unknown
) --->topology
Result:​
casting of the operand to a topology.
Special cases:​
- if the operand is a topology, returns the topology itself;
- if the operand is a spatial graph, returns the graph topology associated;
- if the operand is a population, returns the topology of the population;
- if the operand is a shape or a geometry, returns the continuous topology bounded by the geometry;
- if the operand is a matrix, returns the grid topology associated
- if the operand is another kind of container, returns the multiple topology associated to the container
- otherwise, casts the operand to a geometry and build a topology from it.
Examples:​
topology var0 <- topology(0); // var0 equals nil
topology(a_graph) --: Multiple topology in POLYGON ((24.712119771887785 7.867357373616512, 24.712119771887785 61.283226839310565, 82.4013676510046 7.867357373616512)) at location[53.556743711446195;34.57529210646354]
See also: geometry,
topology
​
Possible uses:​
topology
(any
) --->topology
Result:​
casts the operand in a topology object.
touches
​
Possible uses:​
geometry
touches
geometry
--->bool
touches
(geometry
,geometry
) --->bool
Result:​
A boolean, equal to true if the left-geometry (or agent/point) touches the right-geometry (or agent/point).
Comment:​
returns true when the left-operand only touches the right-operand. When one geometry covers partially (or fully) the other one, it returns false.
Special cases:​
- if one of the operand is null, returns false.
Examples:​
bool var0 <- {15,15} touches {15,15}; // var0 equals false
bool var1 <- polyline([{10,10},{20,20}]) touches {10,10}; // var1 equals true
bool var2 <- polyline([{10,10},{20,20}]) touches polyline([{10,10},{5,5}]); // var2 equals true
bool var3 <- polygon([{10,10},{10,20},{20,20},{20,10}]) touches polygon([{15,15},{15,25},{25,25},{25,15}]); // var3 equals false
bool var4 <- polygon([{10,10},{10,20},{20,20},{20,10}]) touches {10,15}; // var4 equals true
See also: disjoint_from, crosses, overlaps, partially_overlaps, intersects,
touching
​
Possible uses:​
container<unknown,geometry>
touching
geometry
--->list<geometry>
touching
(container<unknown,geometry>
,geometry
) --->list<geometry>
Result:​
A list of agents or geometries among the left-operand list, species or meta-population (addition of species), touching the operand (casted as a geometry).
Examples:​
list<geometry> var0 <- [ag1, ag2, ag3] toucing(self); // var0 equals the agents among ag1, ag2 and ag3 that touch the shape of the right-hand argument.
list<geometry> var1 <- (species1 + species2) touching (self); // var1 equals the agents among species species1 and species2 that touch the shape of the right-hand argument.
See also: neighbors_at, neighbors_of, closest_to, overlapping, agents_overlapping, inside, agents_inside, agent_closest_to,
towards
​
Possible uses:​
geometry
towards
geometry
--->float
towards
(geometry
,geometry
) --->float
Result:​
The direction (in degree) between the two geometries (geometries, agents, points) considering the topology of the agent applying the operator.
Examples:​
float var0 <- ag1 towards ag2; // var0 equals the direction between ag1 and ag2 and ag3 considering the topology of the agent applying the operator
See also: distance_between, distance_to, direction_between, path_between, path_to,
trace
​
Possible uses:​
trace
(matrix
) --->float
Result:​
The trace of the given matrix (the sum of the elements on the main diagonal).
Examples:​
float var0 <- trace(matrix([[1,2],[3,4]])); // var0 equals 5
transformed_by
​
Possible uses:​
geometry
transformed_by
point
--->geometry
transformed_by
(geometry
,point
) --->geometry
Result:​
A geometry resulting from the application of a rotation and a scaling (right-operand : point {angle(degree), scale factor} of the left-hand operand (geometry, agent, point)
Examples:​
geometry var0 <- self transformed_by {45, 0.5}; // var0 equals the geometry resulting from 45 degrees rotation and 50% scaling of the geometry of the agent applying the operator.
See also: rotated_by, translated_by,
translated_by
​
Possible uses:​
geometry
translated_by
point
--->geometry
translated_by
(geometry
,point
) --->geometry
Result:​
A geometry resulting from the application of a translation by the right-hand operand distance to the left-hand operand (geometry, agent, point)
Examples:​
geometry var0 <- self translated_by {10,10,10}; // var0 equals the geometry resulting from applying the translation to the left-hand geometry (or agent).
See also: rotated_by, transformed_by,
translated_to
​
Same signification as at_location
transpose
​
Possible uses:​
transpose
(matrix
) --->matrix
Result:​
The transposition of the given matrix
Examples:​
matrix var0 <- transpose(matrix([[5,-3],[6,-4]])); // var0 equals matrix([[5,6],[-3,-4]])
triangle
​
Possible uses:​
triangle
(float
) --->geometry
float
triangle
float
--->geometry
triangle
(float
,float
) --->geometry
Result:​
A triangle geometry which the base and height size are given by the operand. A triangle geometry which side size is given by the operand.
Comment:​
the center of the triangle is by default the location of the current agent in which has been called this operator.the center of the triangle is by default the location of the current agent in which has been called this operator.
Special cases:​
- returns nil if one of the operand is nil.
- returns nil if the operand is nil.
Examples:​
geometry var0 <- triangle(5, 10); // var0 equals a geometry as a triangle with a base of 5m and a height of 10m.
geometry var1 <- triangle(5); // var1 equals a geometry as a triangle with side_size = 5.
See also: around, circle, cone, line, link, norm, point, polygon, polyline, rectangle, square,
triangulate
​
Possible uses:​
triangulate
(geometry
) --->list<geometry>
triangulate
(list<geometry>
) --->list<geometry>
geometry
triangulate
float
--->list<geometry>
triangulate
(geometry
,float
) --->list<geometry>
triangulate
(geometry
,float
,float
) --->list<geometry>
triangulate
(geometry
,float
,float
,bool
) --->list<geometry>
Result:​
A list of geometries (triangles) corresponding to the Delaunay triangulation of the operand geometry (geometry, agent, point) with the given tolerance for the clipping and for the triangulation A list of geometries (triangles) corresponding to the Delaunay triangulation of the operand geometry (geometry, agent, point) A list of geometries (triangles) corresponding to the Delaunay triangulation of the operand geometry (geometry, agent, point, use_approx_clipping) with the given tolerance for the clipping and for the triangulation with using an approximate clipping is the last operand is true A list of geometries (triangles) corresponding to the Delaunay triangulation computed from the list of polylines A list of geometries (triangles) corresponding to the Delaunay triangulation of the operand geometry (geometry, agent, point) with the given tolerance for the clipping
Examples:​
list<geometry> var0 <- triangulate(self,0.1, 1.0); // var0 equals the list of geometries (triangles) corresponding to the Delaunay triangulation of the geometry of the agent applying the operator.
list<geometry> var1 <- triangulate(self); // var1 equals the list of geometries (triangles) corresponding to the Delaunay triangulation of the geometry of the agent applying the operator.
list<geometry> var2 <- triangulate(self,0.1, 1.0, true); // var2 equals the list of geometries (triangles) corresponding to the Delaunay triangulation of the geometry of the agent applying the operator.
list<geometry> var3 <- triangulate([line([{0,50},{100,50}]), line([{50,0},{50,100}])); // var3 equals the list of geometries (triangles) corresponding to the Delaunay triangulation of the geometry of the agent applying the operator.
list<geometry> var4 <- triangulate(self, 0.1); // var4 equals the list of geometries (triangles) corresponding to the Delaunay triangulation of the geometry of the agent applying the operator.
truncated_gauss
​
Possible uses:​
truncated_gauss
(point
) --->float
truncated_gauss
(list
) --->float
Result:​
A random value from a normally distributed random variable in the interval ]mean - standardDeviation; mean + standardDeviation[.
Special cases:​
- when the operand is a point, it is read as {mean, standardDeviation}
- if the operand is a list, only the two first elements are taken into account as [mean, standardDeviation]
- when truncated_gauss is called with a list of only one element mean, it will always return 0.0
Examples:​
float var0 <- truncated_gauss ({0, 0.3}); // var0 equals a float between -0.3 and 0.3
float var1 <- truncated_gauss ([0.5, 0.0]); // var1 equals 0.5
See also: binomial, gamma_rnd, gauss_rnd, lognormal_rnd, poisson, rnd, skew_gauss, weibull_rnd, gamma_trunc_rnd, weibull_trunc_rnd, lognormal_trunc_rnd,
type_of
​
Possible uses:​
type_of
(unknown
) --->any GAML type<unknown>
Result:​
Returns the GAML type of the operand
Examples:​
string var0 <- string(type_of("a string")); // var0 equals "string"
string var1 <- string(type_of([1,2,3,4,5])); // var1 equals "list<int>"
geometry g0 <- to_GAMA_CRS({121,14}, "EPSG:4326");
string var3 <- string(type_of(g0)); // var3 equals "point"
undirected
​
Possible uses:​
undirected
(graph
) --->graph
Result:​
the operand graph becomes an undirected graph.
Comment:​
WARNING / side effect: this operator modifies the operand and does not create a new graph.
See also: directed,
union
​
Possible uses:​
union
(container<unknown,geometry>
) --->geometry
container
union
container
--->list
union
(container
,container
) --->list
Result:​
returns a new list containing all the elements of both containers without duplicated elements.
Special cases:​
- if the left or right operand is nil, union throws an error
- if the right-operand is a container of points, geometries or agents, returns the geometry resulting from the union all the geometries
Examples:​
list var0 <- [1,2,3,4,5,6] union [2,4,9]; // var0 equals [1,2,3,4,5,6,9]
list var1 <- [1,2,3,4,5,6] union [0,8]; // var1 equals [1,2,3,4,5,6,0,8]
list var2 <- [1,3,2,4,5,6,8,5,6] union [0,8]; // var2 equals [1,3,2,4,5,6,8,0]
geometry var3 <- union([geom1, geom2, geom3]); // var3 equals a geometry corresponding to union between geom1, geom2 and geom3
unknown
​
Possible uses:​
unknown
(any
) --->unknown
Result:​
casts the operand in a unknown object.
until
​
Possible uses:​
until
(date
) --->bool
any expression
until
date
--->bool
until
(any expression
,date
) --->bool
Result:​
Returns true if the current_date of the model is before (or equel to) the date passed in argument. Synonym of 'current_date <= argument'
Examples:​
reflex when: until(starting_date) {} // This reflex will be run only once at the beginning of the simulation
unzip
​
Possible uses:​
string
unzip
string
--->bool
unzip
(string
,string
) --->bool
Result:​
Unzip a given zip file into a given folder. Returns true if the file is well unzipped
Examples:​
bool unzip_ok <- unzip(["../includes/my_folder"], "folder.zip";
upper_case
​
Possible uses:​
upper_case
(string
) --->string
Result:​
Converts all of the characters in the string operand to upper case
Examples:​
string var0 <- upper_case("Abc"); // var0 equals 'ABC'
See also: lower_case,
use_cache
​
Possible uses:​
graph
use_cache
bool
--->graph
use_cache
(graph
,bool
) --->graph
Result:​
if the second operand is true, the operand graph will store in a cache all the previously computed shortest path (the cache be cleared if the graph is modified).
Comment:​
WARNING / side effect: this operator modifies the operand and does not create a new graph.
See also: path_between,
user_confirm
​
Possible uses:​
string
user_confirm
string
--->bool
user_confirm
(string
,string
) --->bool
Result:​
Asks the user to confirm a choice. The two string are used to specify the title and the message of the dialog box.
Examples:​
bool confirm <- user_confirm("Confirm","Please confirm";
user_input_dialog
​
Possible uses:​
user_input_dialog
(list
) --->map<string,unknown>
string
user_input_dialog
list
--->map<string,unknown>
user_input_dialog
(string
,list
) --->map<string,unknown>
user_input_dialog
(string
,list
,font
) --->map<string,unknown>
user_input_dialog
(string
,list
,font
,rgb
) --->map<string,unknown>
user_input_dialog
(string
,list
,font
,rgb
,bool
) --->map<string,unknown>
Result:​
Asks the user for some values and returns a map containing these values. Takes a string and a list of calls to the enter()
or choose()
operators as arguments. The string is used to specify the message of the dialog box. The list is used to specify the parameters the user can enter. Finally, the font of the title can be specified as well as the background color
Asks the user for some values and returns a map containing these values. Takes a string and a list of calls to the enter()
or choose()
operators as arguments. The string is used to specify the message of the dialog box. The list is used to specify the parameters the user can enter. Finally, the font of the title can be specified
Asks the user for some values and returns a map containing these values. Takes a string and a list of calls to the enter()
or choose()
operators as arguments. The string is used to specify the message of the dialog box. The list is to specify the parameters the user can enter
Asks the user for some values and returns a map containing these values. Takes a string and a list of calls to the enter()
or choose()
operators as arguments. The string is used to specify the message of the dialog box. The list is used to specify the parameters the user can enter. Finally, the font of the title can be specified, as well as the background color and whether the title and close button of the dialog should be displayed or not
Examples:​
map<string,unknown> values2 <- user_input_dialog('Enter number of agents and locations',[enter('Number',100), enter('Location',point, {10, 10})], font('Helvetica', 18));
create bug number: int(values2 at "Number") with: [location:: (point(values2 at "Location"))];
map<string,unknown> values2 <- user_input_dialog('Enter number of agents and locations',[enter('Number',100), enter('Location',point, {10, 10})], font('Helvetica', 18));
create bug number: int(values2 at "Number") with: [location:: (point(values2 at "Location"))];
map<string,unknown> values_no_title <- user_input_dialog([enter('Number',100), enter('Location',point, {10, 10})]);
create bug number: int(values2 at "Number") with: [location:: (point(values2 at "Location"))];
map<string,unknown> values2 <- user_input_dialog('Enter number of agents and locations',[enter('Number',100), enter('Location',point, {10, 10})]);
create bug number: int(values2 at "Number") with: [location:: (point(values2 at "Location"))];
map<string,unknown> values2 <- user_input_dialog('Enter number of agents and locations',[enter('Number',100), enter('Location',point, {10, 10})], font('Helvetica', 18), #blue, true);
create bug number: int(values2 at "Number") with: [location:: (point(values2 at "Location"))];
using
​
Possible uses:​
any expression
using
topology
--->unknown
using
(any expression
,topology
) --->unknown
Result:​
Allows to specify in which topology a spatial computation should take place.
Special cases:​
- has no effect if the topology passed as a parameter is nil
Examples:​
unknown var0 <- (agents closest_to self) using topology(world); // var0 equals the closest agent to self (the caller) in the continuous topology of the world
values_in
​
Possible uses:​
field
values_in
geometry
--->list<float>
values_in
(field
,geometry
) --->list<float>
variance
​
Possible uses:​
variance
(float
) --->float
variance
(container
) --->float
variance
(int
,float
,float
) --->float
Result:​
Returns the variance from a standard deviation. the variance of the elements of the operand. See Variance for more details. Returns the variance of a data sequence. That is (sumOfSquares - mean*sum) / size with mean = sum/size.
Comment:​
The operator casts all the numerical element of the list into float. The elements that are not numerical are discarded. In the example we consider variance of [1,3,5,7]. The size is 4, the sum is 1+3+5+7=16 and the sum of squares is 84.The variance is (84- 16^2/4)/4. CQFD.
Examples:​
int var0 <- int(variance([1,3,5,6,9,11,12,13])); // var0 equals 17
float var1 <- variance ([4.5, 3.5, 5.5, 7.0]); // var1 equals 1.671875
int var2 <- int(variance(4,16,84)); // var2 equals 5
variance_of
​
Possible uses:​
container
variance_of
any expression
--->unknown
variance_of
(container
,any expression
) --->unknown
Result:​
the variance of the right-hand expression evaluated on each of the elements of the left-hand operand
Comment:​
in the right-hand operand, the keyword each can be used to represent, in turn, each of the right-hand operand elements.
Examples:​
float var0 <- [1,2,3,4,5,6] variance_of each with_precision 2; // var0 equals 2.92
See also: min_of, max_of, sum_of, product_of,
vertical
​
Possible uses:​
vertical
(map<unknown,int>
) --->unknown<string>
Result:​
Creates a vertical layout node (a sash). Sashes can contain any number (> 1) of other elements: stacks, horizontal or vertical sashes, or display indices. Each element is represented by a pair in the map, where the key is the element and the value its weight within the sash
voronoi
​
Possible uses:​
voronoi
(list<point>
) --->list<geometry>
list<point>
voronoi
geometry
--->list<geometry>
voronoi
(list<point>
,geometry
) --->list<geometry>
Result:​
A list of geometries corresponding to the Voronoi diagram built from the list of points (with eventually a given clip).
Examples:​
list<geometry> var0 <- voronoi([{10,10},{50,50},{90,90},{10,90},{90,10}], square(300)); // var0 equals the list of geometries corresponding to the Voronoi Diagram built from the list of points with a square of 300m side size as clip.
list<geometry> var1 <- voronoi([{10,10},{50,50},{90,90},{10,90},{90,10}]); // var1 equals the list of geometries corresponding to the Voronoi Diagram built from the list of points.
weibull_density
​
Possible uses:​
weibull_density
(float
,float
,float
) --->float
Result:​
weibull_density(x,shape,scale) returns the probability density function (PDF) at the specified point x of the Weibull distribution with the given shape and scale.
Examples:​
float var0 <- weibull_rnd(1,2,3) ; // var0 equals 0.731
See also: binomial, gamma_rnd, gauss_rnd, lognormal_rnd, poisson, rnd, skew_gauss, lognormal_density, gamma_density,
weibull_rnd
​
Possible uses:​
float
weibull_rnd
float
--->float
weibull_rnd
(float
,float
) --->float
Result:​
returns a random value from a Weibull distribution with specified values of the shape (alpha) and scale (beta) parameters. See https://mathworld.wolfram.com/WeibullDistribution.html for more details (equations 1 and 2).
Examples:​
float var0 <- weibull_rnd(2,3) ; // var0 equals 0.731
See also: binomial, gamma_rnd, gauss_rnd, lognormal_rnd, poisson, rnd, skew_gauss, truncated_gauss, weibull_trunc_rnd,
weibull_trunc_rnd
​
Possible uses:​
weibull_trunc_rnd
(float
,float
,float
,bool
) --->float
weibull_trunc_rnd
(float
,float
,float
,float
) --->float
Result:​
returns a random value from a truncated Weibull distribution (in a range or given only one boundary) with specified values of the shape (alpha) and scale (beta) parameters. See https://mathworld.wolfram.com/WeibullDistribution.html for more details (equations 1 and 2).
Special cases:​
- when 1 float and a boolean (isMax) operands are specified, the float value represents the single boundary (max if the boolean is true, min otherwise),
weibull_trunc_rnd(2,3,5,true)
- when 2 float operands are specified, they are taken as mininimum and maximum values for the result
weibull_trunc_rnd(2,3,0.0,5.0)
See also: weibull_rnd, gamma_trunc_rnd, lognormal_trunc_rnd, truncated_gauss,
weight_of
​
Possible uses:​
graph
weight_of
unknown
--->float
weight_of
(graph
,unknown
) --->float
Result:​
returns the weight of the given edge (right-hand operand) contained in the graph given in right-hand operand.
Comment:​
In a localized graph, an edge has a weight by default (the distance between both vertices).
Special cases:​
- if the left-operand (the graph) is nil, returns nil
- if the right-hand operand is not an edge of the given graph, weight_of checks whether it is a node of the graph and tries to return its weight
- if the right-hand operand is neither a node, nor an edge, returns 1.
Examples:​
graph graphFromMap <- as_edge_graph([{1,5}::{12,45},{12,45}::{34,56}]);
float var1 <- graphFromMap weight_of(link({1,5},{12,45})); // var1 equals 1.0
weighted_means_DM
​
Possible uses:​
list<list>
weighted_means_DM
list<map<string,unknown>>
--->int
weighted_means_DM
(list<list>
,list<map<string,unknown>>
) --->int
Result:​
The index of the candidate that maximizes the weighted mean of its criterion values. The first operand is the list of candidates (a candidate is a list of criterion values); the second operand the list of criterion (list of map)
Special cases:​
- returns -1 is the list of candidates is nil or empty
Examples:​
int var0 <- weighted_means_DM([[1.0, 7.0],[4.0,2.0],[3.0, 3.0]], [["name"::"utility", "weight" :: 2.0],["name"::"price", "weight" :: 1.0]]); // var0 equals 1
See also: promethee_DM, electre_DM, evidence_theory_DM,
where
​
Possible uses:​
container
where
any expression
--->list
where
(container
,any expression
) --->list
list
where
any expression
--->list
where
(list
,any expression
) --->list
species
where
any expression
--->list
where
(species
,any expression
) --->list
Result:​
a list containing all the elements of the left-hand operand that make the right-hand operand evaluate to true.
Comment:​
in the right-hand operand, the keyword each can be used to represent, in turn, each of the right-hand operand elements.
Special cases:​
- if the left-hand operand is nil, where throws an error
- if the left-operand is a map, the keyword each will contain each value
list var4 <- [1::2, 3::4, 5::6] where (each >= 4); // var4 equals [4, 6]
Examples:​
list var0 <- [1,2,3,4,5,6,7,8] where (each > 3); // var0 equals [4, 5, 6, 7, 8]
list var2 <- g2 where (length(g2 out_edges_of each) = 0 ); // var2 equals [node9, node7, node10, node8, node11]
list var3 <- (list(node) where (round(node(each).location.x) > 32); // var3 equals [node2, node3]
See also: first_with, last_with,
with_generation_algo
​
Possible uses:​
gen_population_generator
with_generation_algo
string
--->gen_population_generator
with_generation_algo
(gen_population_generator
,string
) --->gen_population_generator
Result:​
define the algorithm used for the population generation among: IS (independant hypothesis Algorothm) and simple_draw (simple draw of entities in a sample)
Examples:​
my_pop_generator with_generation_algo "simple_draw"
with_k_shortest_path_algorithm
​
Possible uses:​
graph
with_k_shortest_path_algorithm
string
--->graph
with_k_shortest_path_algorithm
(graph
,string
) --->graph
Result:​
changes the K shortest paths computation algorithm of the given graph
Comment:​
the right-hand operand can be Yen, Bhandari, Eppstein, Suurballe to use the associated algorithm.
Examples:​
graphEpidemio <- graphEpidemio with_optimizer_type "static";
with_max_of
​
Possible uses:​
container
with_max_of
any expression
--->unknown
with_max_of
(container
,any expression
) --->unknown
Result:​
one of elements of the left-hand operand that maximizes the value of the right-hand operand
Comment:​
in the right-hand operand, the keyword each can be used to represent, in turn, each of the right-hand operand elements.
Special cases:​
- if the left-hand operand is nil, with_max_of returns the default value of the right-hand operand
Examples:​
unknown var0 <- [1,2,3,4,5,6,7,8] with_max_of (each ); // var0 equals 8
unknown var2 <- g2 with_max_of (length(g2 out_edges_of each) ) ; // var2 equals node4
unknown var3 <- (list(node) with_max_of (round(node(each).location.x)); // var3 equals node3
unknown var4 <- [1::2, 3::4, 5::6] with_max_of (each); // var4 equals 6
See also: where, with_min_of,
with_min_of
​
Possible uses:​
container
with_min_of
any expression
--->unknown
with_min_of
(container
,any expression
) --->unknown
Result:​
one of elements of the left-hand operand that minimizes the value of the right-hand operand
Comment:​
in the right-hand operand, the keyword each can be used to represent, in turn, each of the right-hand operand elements.
Special cases:​
- if the left-hand operand is nil, with_max_of returns the default value of the right-hand operand
Examples:​
unknown var0 <- [1,2,3,4,5,6,7,8] with_min_of (each ); // var0 equals 1
unknown var2 <- g2 with_min_of (length(g2 out_edges_of each) ); // var2 equals node11
unknown var3 <- (list(node) with_min_of (round(node(each).location.x)); // var3 equals node0
unknown var4 <- [1::2, 3::4, 5::6] with_min_of (each); // var4 equals 2
See also: where, with_max_of,
with_precision
​
Possible uses:​
point
with_precision
int
--->point
with_precision
(point
,int
) --->point
float
with_precision
int
--->float
with_precision
(float
,int
) --->float
geometry
with_precision
int
--->geometry
with_precision
(geometry
,int
) --->geometry
Result:​
Rounds off the ordinates of the left-hand point to the precision given by the value of right-hand operand Rounds off the value of left-hand operand to the precision given by the value of right-hand operand A geometry corresponding to the rounding of points of the operand considering a given precison.
Examples:​
point var0 <- {12345.78943, 12345.78943, 12345.78943} with_precision 2 ; // var0 equals {12345.79, 12345.79, 12345.79}
float var1 <- 12345.78943 with_precision 2; // var1 equals 12345.79
float var2 <- 123 with_precision 2; // var2 equals 123.00
geometry var3 <- self with_precision 2; // var3 equals the geometry resulting from the rounding of points of the geometry with a precision of 0.1.
See also: round,
with_shortest_path_algorithm
​
Possible uses:​
graph
with_shortest_path_algorithm
string
--->graph
with_shortest_path_algorithm
(graph
,string
) --->graph
Result:​
changes the shortest path computation algorithm of the given graph
Comment:​
the right-hand operand can be Djikstra, BidirectionalDijkstra, BellmannFord, FloydWarshall, Astar, NBAStar, NBAStarApprox, DeltaStepping, CHBidirectionalDijkstra, TransitNodeRouting to use the associated algorithm.
Examples:​
road_network <- road_network with_shortestpath_algorithm TransitNodeRouting;
with_values
​
Possible uses:​
predicate
with_values
map
--->predicate
with_values
(predicate
,map
) --->predicate
Result:​
change the parameters of the given predicate
Examples:​
predicate with_values ["time"::10]
with_weights
​
Possible uses:​
graph
with_weights
map
--->graph
with_weights
(graph
,map
) --->graph
graph
with_weights
list
--->graph
with_weights
(graph
,list
) --->graph
Result:​
returns the graph (left-hand operand) with weight given in the map (right-hand operand).
Comment:​
WARNING / side effect: this operator modifies the operand and does not create a new graph. It also re-initializes the path finder
Special cases:​
- if the right-hand operand is a list, assigns the n elements of the list to the n first edges. Note that the ordering of edges may change overtime, which can create some problems...
- if the left-hand operand is a map, the map should contains pairs such as: vertex/edge::double
graph_from_edges (list(ant) as_map each::one_of (list(ant))) with_weights (list(ant) as_map each::each.food)
without_holes
​
Possible uses:​
without_holes
(geometry
) --->geometry
Result:​
A geometry corresponding to the operand geometry (geometry, agent, point) without its holes
Examples:​
geometry var0 <- solid(self); // var0 equals the geometry corresponding to the geometry of the agent applying the operator without its holes.
float var1 <- without_holes(polygon([{0,50}, {0,0}, {50,0}, {50,50}, {0,50}]) - square(10) at_location {10,10}).area; // var1 equals 2500.0
wizard
​
Possible uses:​
string
wizard
list<map<string,unknown>>
--->map<string,map<string,unknown>>
wizard
(string
,list<map<string,unknown>>
) --->map<string,map<string,unknown>>
wizard
(string
,action
,list<map<string,unknown>>
) --->map<string,map<string,unknown>>
Result:​
Build a wizard and return the values enter by the user as a map of map ["title page 1"::["var1"::1,"var2"::2]]. Takes a string, a list of calls to the wizard_page()
operator. The first string is used to specify the title. The list is to specify the wizard pages.
Build a wizard and return the values enter by the user as a map of map ["title page 1"::["var1"::1,"var2"::2]]. Takes a string, an action and a list of calls to the wizard_page()
operator. The first string is used to specify the title. The action to describe when the wizard is supposed to be finished. A classic way of defining the action is bool eval_finish(map<string,map> input_map) {return input_map["page1"]["file"] != nil;}. The list is to specify the wizard pages.
Examples:​
map results <- wizard("My wizard",[wizard_page("page1","enter info" ,[enter("var1",string)], font("Arial", 10))]);
map results <- wizard("My wizard",eval_finish, [wizard_page("page1","enter info" ,[enter("var1",string)], font("Arial", 10))]);
wizard_page
​
Possible uses:​
wizard_page
(string
,string
,list
) --->map<string,unknown>
wizard_page
(string
,string
,list
,font
) --->map<string,unknown>
Result:​
Build a wizard page. Takes two strings and a list of calls to the enter()
or choose()
operators. The first string is used to specify the title, the second the description of the dialog box. The list is to specify the parameters the user can enter
Build a wizard page. Takes two strings, a list of calls to the enter()
or choose()
operators and a font as arguments. The first string is used to specify the title, the second the description of the dialog box. The list is to specify the parameters the user can enter. The font is used to specify the font
Examples:​
map results <- wizard("My wizard",[wizard_page("page1","enter info" ,[enter("var1",string)])]);
map results <- wizard("My wizard",[wizard_page("page1","enter info" ,[enter("var1",string)], font("Arial", 10))]);
writable
​
Possible uses:​
file
writable
bool
--->file
writable
(file
,bool
) --->file
Result:​
Marks the file as read-only or not, depending on the second boolean argument, and returns the first argument
Comment:​
A file is created using its native flags. This operator can change them. Beware that this change is system-wide (and not only restrained to GAMA): changing a file to read-only mode (e.g. "writable(f, false)")
Examples:​
file var0 <- shape_file("../images/point_eau.shp") writable false; // var0 equals returns a file in read-only mode
See also: file,
xml_file
​
Possible uses:​
xml_file
(string
) --->file
Result:​
Constructs a file of type xml. Allowed extensions are limited to xml
Special cases:​
- xml_file(string): This file constructor allows to read a xml file
file f <-xml_file("file.xml");
See also: is_xml,
xor
​
Possible uses:​
bool
xor
bool
--->bool
xor
(bool
,bool
) --->bool
Result:​
a bool value, equal to the logical xor between the left-hand operand and the right-hand operand. False when they are equal
Comment:​
both operands are always casted to bool before applying the operator. Thus, an expression like 1 xor 0 is accepted and returns true.
Examples:​
bool var0 <- xor(true,false); // var0 equals true
bool var1 <- xor(false,false); // var1 equals false
bool var2 <- xor(false,true); // var2 equals true
bool var3 <- xor(true,true); // var3 equals false
bool var4 <- true xor true; // var4 equals false
years_between
​
Possible uses:​
date
years_between
date
--->int
years_between
(date
,date
) --->int
Result:​
Provide the exact number of years between two dates. This number can be positive or negative (if the second operand is smaller than the first one)
Examples:​
int var0 <- years_between(date('2000-01-01'), date('2010-01-01')); // var0 equals 10
zip
​
Possible uses:​
list<string>
zip
string
--->bool
zip
(list<string>
,string
) --->bool
Result:​
Zip a given list of files or folders. Returns true if the files are well zipped
Examples:​
bool zip_ok <- zip(["../includes/my_folder"], "folder.zip";