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Version: 1.8.2-RC2

Operators (N to R)

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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 and or (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,

-, /, *, +, blend, brewer_colors, brewer_palettes, gradient, grayscale, hsb, mean, median, palette, rgb, rnd_color, scale, sum,

Comparison operators​

!=, <, <=, =, >, >=, between,

-, ::, +, 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,

-, !=, +, <, <=, =, >, >=, 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​

horizontal, stack, vertical,

edge​

edge_between, strahler,

diff, diff2,

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,

conversation, message,

GamaMaterialType​

material,

GamaMetaType​

type_of,

Gen*​

add_attribute, add_census_file, add_mapper, add_marginals, add_range_attribute, with_generation_algo,

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,

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,

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,

as_map, create_map, index_of, last_index_of,

-, /, ., *, +, 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,

agent_from_geometry, all_pairs_shortest_path, as_path, load_shortest_paths, max_flow_between, path_between, path_to, paths_between, use_cache,

-, /, *, +, <, <=, >, >=, 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,

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,

+, <, <=, >, >=, 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​

load_sub_model,

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,

date, string,

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​

nb_cycles​

Possible uses:​

  • nb_cycles (graph) ---> int

Result:​

returns the maximum number of independent cycles in a graph. This number (u) is estimated through the number of nodes (v), links (e) and of sub-graphs (p): u = e - v + p.

Examples:​

graph graphEpidemio <- graph([]); 
int var1 <- nb_cycles(graphEpidemio); // var1 equals the number of cycles in the graph

See also: alpha_index, beta_index, gamma_index, connectivity_index,

neighbors_at​

Possible uses:​

  • geometry neighbors_at float ---> list
  • neighbors_at (geometry , float) ---> list

Result:​

a list, containing all the agents of the same species than the left argument (if it is an agent) located at a distance inferior or equal to the right-hand operand to the left-hand operand (geometry, agent, point).

Comment:​

The topology used to compute the neighborhood is the one of the left-operand if this one is an agent; otherwise the one of the agent applying the operator.

Examples:​

list var0 <- (self neighbors_at (10)); // var0 equals all the agents located at a distance lower or equal to 10 to the agent applying the operator.

See also: neighbors_of, closest_to, overlapping, agents_overlapping, agents_inside, agent_closest_to, at_distance,

neighbors_of​

Possible uses:​

  • graph neighbors_of unknown ---> list
  • neighbors_of (graph , unknown) ---> list
  • field neighbors_of point ---> list<point>
  • neighbors_of (field , point) ---> list<point>
  • topology neighbors_of agent ---> list
  • neighbors_of (topology , agent) ---> list
  • neighbors_of (topology, geometry, float) ---> list

Result:​

a list, containing all the agents of the same species than the argument (if it is an agent) located at a distance inferior or equal to 1 to the right-hand operand agent considering the left-hand operand topology.

Special cases:​

  • a list, containing all the agents of the same species than the left argument (if it is an agent) located at a distance inferior or equal to the third argument to the second argument (agent, geometry or point) considering the first operand topology.
list var0 <- neighbors_of (topology(self), self,10); // var0 equals all the agents located at a distance lower or equal to 10 to the agent applying the operator considering its topology.

Examples:​

list var1 <- graphEpidemio neighbors_of (node(3)); // var1 equals [node0,node2] 
list var2 <- graphFromMap neighbors_of node({12,45}); // var2 equals [{1.0,5.0},{34.0,56.0}] 
list var3 <- topology(self) neighbors_of self; // var3 equals returns all the agents located at a distance lower or equal to 1 to the agent applying the operator considering its topology.

See also: predecessors_of, successors_of, neighbors_at, closest_to, overlapping, agents_overlapping, agents_inside, agent_closest_to,

new_emotion​

Possible uses:​

  • new_emotion (string) ---> emotion
  • string new_emotion float ---> emotion
  • new_emotion (string , float) ---> emotion
  • string new_emotion predicate ---> emotion
  • new_emotion (string , predicate) ---> emotion
  • string new_emotion agent ---> emotion
  • new_emotion (string , agent) ---> emotion
  • new_emotion (string, predicate, agent) ---> emotion
  • new_emotion (string, float, predicate) ---> emotion
  • new_emotion (string, float, float) ---> emotion
  • new_emotion (string, float, agent) ---> emotion
  • new_emotion (string, float, float, agent) ---> emotion
  • new_emotion (string, float, predicate, float) ---> emotion
  • new_emotion (string, float, predicate, agent) ---> emotion
  • new_emotion (string, float, predicate, float, agent) ---> emotion

Result:​

a new emotion with the given properties (at least its name, and eventually intensity, parameters...)

Special cases:​

  • a new emotion with a name and an initial intensity:
new_emotion("joy",12.3)
  • a new emotion with a given name and the predicate it is about
new_emotion("joy",estFood) 
new_emotion("joy",agent1)
  • Various combinations are possible to create the emotion: (name,intensity,about), (name,about,cause), (name,intensity,cause)...
new_emotion("joy",12.3,eatFood) 
new_emotion("joy",eatFood,agent1) 
new_emotion("joy",12.3,agent1)
  • a new emotion with a given name and the agent which has caused this emotion
new_emotion("joy",agent1)
  • A decay value value can be added to define a new emotion.
new_emotion("joy",12.3,4.0)

Examples:​

emotion("joy",12.3,eatFood,4,agent1) 
emotion("joy", 12.3, 4, agent1) 
new_emotion("joy") 
new_emotion("joy",12.3,eatFood,4.0) 
new_emotion("joy",12.3,eatFood,agent1)

new_folder​

Possible uses:​

  • new_folder (string) ---> file

Result:​

opens an existing repository or create a new folder if it does not exist.

Special cases:​

  • If the specified string does not refer to an existing repository, the repository is created.
  • If the string refers to an existing file, an exception is risen.

Examples:​

file dirNewT <- new_folder("incl/");   	// dirNewT represents the repository "../incl/" 
															// eventually creates the directory ../incl

See also: folder, file, folder_exists,

new_mental_state​

Possible uses:​

  • new_mental_state (string) ---> mental_state
  • string new_mental_state predicate ---> mental_state
  • new_mental_state (string , predicate) ---> mental_state
  • string new_mental_state emotion ---> mental_state
  • new_mental_state (string , emotion) ---> mental_state
  • string new_mental_state mental_state ---> mental_state
  • new_mental_state (string , mental_state) ---> mental_state
  • new_mental_state (string, predicate, int) ---> mental_state
  • new_mental_state (string, predicate, float) ---> mental_state
  • new_mental_state (string, mental_state, agent) ---> mental_state
  • new_mental_state (string, mental_state, float) ---> mental_state
  • new_mental_state (string, predicate, agent) ---> mental_state
  • new_mental_state (string, emotion, float) ---> mental_state
  • new_mental_state (string, emotion, agent) ---> mental_state
  • new_mental_state (string, mental_state, int) ---> mental_state
  • new_mental_state (string, emotion, int) ---> mental_state
  • new_mental_state (string, predicate, float, int) ---> mental_state
  • new_mental_state (string, predicate, int, agent) ---> mental_state
  • new_mental_state (string, predicate, float, agent) ---> mental_state
  • new_mental_state (string, emotion, int, agent) ---> mental_state
  • new_mental_state (string, mental_state, float, int) ---> mental_state
  • new_mental_state (string, mental_state, int, agent) ---> mental_state
  • new_mental_state (string, emotion, float, int) ---> mental_state
  • new_mental_state (string, emotion, float, agent) ---> mental_state
  • new_mental_state (string, mental_state, float, agent) ---> mental_state
  • new_mental_state (string, emotion, float, int, agent) ---> mental_state
  • new_mental_state (string, predicate, float, int, agent) ---> mental_state
  • new_mental_state (string, mental_state, float, int, agent) ---> mental_state

Result:​

creates a new mental state with a given modality (e.g. belief or desire) and various properties (a predicate it is about, a strength, a lifetime, an ower agent and an emotion it is about

Examples:​

new_mental_state("belief", raining) 
new_mental_state("belief", raining, 10) 
new_mental_state("belief", raining, 0.5) 
new_mental_state("belief", raining, 12.4, 10) 
new_mental_state("belief", my_joy, 12.3, 10, agent1) 
new_mental_state("belief", mental_state1, agent1) 
new_mental_state("belief", mental_state1, 12.3) 
new_mental_state("belief", raining, agent1) 
new_mental_state("belief", raining, 10, agent1) 
new_mental_state("belief", my_joy, 12.3) 
new_mental_state("belief", raining, 12.3, agent1) 
new_mental_state("belief", my_joy, 10, agent1) 
new_mental_state("belief",raining, 12.3, 10, agent1) 
new_mental_state("belief", mental_state1, 12.3, 10) 
new_mental_state("belief") 
new_mental_state("belief", my_joy, agent1) 
new_mental_state("belief", mental_state1, 10) 
new_mental_state("belief", mental_state1, 10, agent1) 
new_mental_state("belief",  my_joy, 10) 
new_mental_state("belief", my_joy, 12.3, 10) 
new_mental_state("belief", my_joy, 12.3, agent1) 
new_mental_state("belief", my_joy) 
new_mental_state("belief", mental_state1, 12.3, 10, agent1) 
new_mental_state("belief", mental_state1) 
new_mental_state("belief", mental_state1, 12.2, agent1)

new_predicate​

Possible uses:​

  • new_predicate (string) ---> predicate
  • string new_predicate agent ---> predicate
  • new_predicate (string , agent) ---> predicate
  • string new_predicate bool ---> predicate
  • new_predicate (string , bool) ---> predicate
  • string new_predicate map ---> predicate
  • new_predicate (string , map) ---> predicate
  • new_predicate (string, map, agent) ---> predicate
  • new_predicate (string, map, bool) ---> predicate
  • new_predicate (string, map, bool, agent) ---> predicate

Result:​

creates a new predicate with a given name and adidtional properties (values, agent causing the predicate, whether it is true...)

Examples:​

new_predicate("people to meet", ["time"::10], true, agentA) 
new_predicate("people to meet") 
new_predicate("people to meet", ["time"::10], agentA) 
new_predicate("people to meet", agent1) 
new_predicate("people to meet", ["time"::10], true) 
new_predicate("hasWater", true) 
new_predicate("people to meet", map(["val1"::23]) )

Possible uses:​

  • new_social_link (agent) ---> social_link
  • new_social_link (agent, float, float, float, float) ---> social_link

Result:​

creates a new social link with another agent (eventually given additional parameters such as the appreciation, dominance, solidarity, and familiarity values).

Examples:​

new_social_link(agentA) 
new_social_link(agentA,0.0,-0.1,0.2,0.1)

node​

Possible uses:​

  • node (unknown) ---> unknown
  • unknown node float ---> unknown
  • node (unknown , float) ---> unknown

Result:​

Allows to create a wrapper (of type unknown) that wraps an actual object and indicates it should be considered as a node of a graph. The second (optional) parameter indicates which weight the node should have in the graph

Comment:​

Useful only in graph-related operations (addition, removal of nodes, creation of graphs)

nodes​

Possible uses:​

  • nodes (container) ---> container

Result:​

Allows to create a wrapper (of type list) that wraps a list of objects and indicates they should be considered as nodes of a graph

none_matches​

Possible uses:​

  • container none_matches any expression ---> bool
  • none_matches (container , any expression) ---> bool

Result:​

Returns true if none of the elements of the left-hand operand make the right-hand operand evaluate to true. 'c none_matches each.property' is strictly equivalent to '(c count each.property) = 0'

Comment:​

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, none_matches throws an error.
  • If the left-hand operand is empty, none_matches returns true.

Examples:​

bool var0 <- [1,2,3,4,5,6,7,8] none_matches (each > 3); // var0 equals false 
bool var1 <- [1::2, 3::4, 5::6] none_matches (each > 4); // var1 equals false

See also: one_matches, all_match, count,

none_verifies​

Same signification as none_matches

norm​

Possible uses:​

  • norm (point) ---> float

Result:​

the norm of the vector with the coordinates of the point operand.

Examples:​

float var0 <- norm({3,4}); // var0 equals 5.0

Norm​

Possible uses:​

  • Norm (any) ---> Norm

Result:​

casts the operand in a Norm object.

normal_area​

Possible uses:​

  • normal_area (float, float, float) ---> float

Result:​

Returns the area to the left of x in the normal distribution with the given mean and standard deviation.

Examples:​

float var0 <- normal_area(0.9,0,1) with_precision(3); // var0 equals 0.816

normal_density​

Possible uses:​

  • normal_density (float, float, float) ---> float

Result:​

Returns the probability of x in the normal distribution with the given mean and standard deviation.

Examples:​

float var0 <- (normal_density(2,1,1)*100) with_precision 2; // var0 equals 24.2

normal_inverse​

Possible uses:​

  • normal_inverse (float, float, float) ---> float

Result:​

Returns the x in the normal distribution with the given mean and standard deviation, to the left of which lies the given area. normal.

Examples:​

float var0 <- normal_inverse(0.98,0,1) with_precision(2); // var0 equals 2.05

normalized_rotation​

Possible uses:​

  • normalized_rotation (pair) ---> pair<float,point>

Result:​

The rotation normalized according to Euler formalism with a positive angle, such that each rotation has a unique set of parameters (positive angle, normalize axis rotation).

Examples:​

pair<float,point> var0 <- normalized_rotation(-38.0::{1,1,1}); // var0 equals 38.0::{-0.5773502691896258,-0.5773502691896258,-0.5773502691896258}

See also: [rotation_composition, inverse_rotation](OperatorsSZ#rotation_composition, inverse_rotation),

not​

Same signification as !

not​

Possible uses:​

  • not (predicate) ---> predicate

Result:​

create a new predicate with the inverse truth value

Examples:​

not predicate1

obj_file​

Possible uses:​

  • obj_file (string) ---> file
  • string obj_file pair<float,point> ---> file
  • obj_file (string , pair<float,point>) ---> file
  • string obj_file string ---> file
  • obj_file (string , string) ---> file
  • obj_file (string, string, pair<float,point>) ---> file

Result:​

Constructs a file of type obj. Allowed extensions are limited to obj, OBJ

Special cases:​

  • obj_file(string): This file constructor allows to read an obj file. The associated mlt file have to have the same name as the file to be read.
file f <- obj_file("file.obj");
  • obj_file(string,pair<float,point>): This file constructor allows to read an obj file and apply an init rotation to it. The rotationis a pair angle::rotation vector. The associated mlt file have to have the same name as the file to be read.
file f <- obj_file("file.obj", 90.0::{-1,0,0});
  • obj_file(string,string): This file constructor allows to read an obj file, using a specific mlt file
file f <- obj_file("file.obj","file.mlt");
  • obj_file(string,string,pair<float,point>): This file constructor allows to read an obj file, using a specific mlt file, and apply an init rotation to it. The rotationis a pair angle::rotation vector
file f <- obj_file("file.obj","file.mlt", 90.0::{-1,0,0});

See also: is_obj,

of​

Same signification as .

of_generic_species​

Possible uses:​

  • container of_generic_species species ---> list
  • of_generic_species (container , species) ---> list

Result:​

a list, containing the agents of the left-hand operand whose species is that denoted by the right-hand operand and whose species extends the right-hand operand species

Examples:​

// species speciesA {} 
// species sub_speciesA parent: speciesA {} 
list var2 <- [sub_speciesA(0),sub_speciesA(1),speciesA(2),speciesA(3)] of_generic_species speciesA; // var2 equals [sub_speciesA0,sub_speciesA1,speciesA0,speciesA1] 
list var3 <- [sub_speciesA(0),sub_speciesA(1),speciesA(2),speciesA(3)] of_generic_species sous_test; // var3 equals [sub_speciesA0,sub_speciesA1] 
list var4 <- [sub_speciesA(0),sub_speciesA(1),speciesA(2),speciesA(3)] of_species speciesA; // var4 equals [speciesA0,speciesA1] 
list var5 <- [sub_speciesA(0),sub_speciesA(1),speciesA(2),speciesA(3)] of_species sous_test; // var5 equals [sub_speciesA0,sub_speciesA1]

See also: of_species,

of_species​

Possible uses:​

  • container of_species species ---> list
  • of_species (container , species) ---> list

Result:​

a list, containing the agents of the left-hand operand whose species is the one denoted by the right-hand operand.The expression agents of_species (species self) is equivalent to agents where (species each = species self); however, the advantage of using the first syntax is that the resulting list is correctly typed with the right species, whereas, in the second syntax, the parser cannot determine the species of the agents within the list (resulting in the need to cast it explicitly if it is to be used in an ask statement, for instance).

Special cases:​

  • if the right operand is nil, of_species returns the right operand

Examples:​

list var0 <- (self neighbors_at 10) of_species (species (self)); // var0 equals all the neighboring agents of the same species. 
list var1 <- [test(0),test(1),node(1),node(2)] of_species test; // var1 equals [test0,test1]

See also: of_generic_species,

one_matches​

Possible uses:​

  • container one_matches any expression ---> bool
  • one_matches (container , any expression) ---> bool

Result:​

Returns true if at least one of the elements of the left-hand operand make the right-hand operand evaluate to true. Returns false if the left-hand operand is empty. 'c one_matches each.property' is strictly equivalent to '(c count each.property) > 0' but faster in most cases (as it is a shortcircuited operator)

Comment:​

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, one_matches throws an error

Examples:​

bool var0 <- [1,2,3,4,5,6,7,8] one_matches (each > 3); // var0 equals true 
bool var1 <- [1::2, 3::4, 5::6] one_matches (each > 4); // var1 equals true

See also: none_matches, all_match, count,

one_of​

Possible uses:​

  • one_of (container<KeyType,ValueType>) ---> ValueType

Result:​

one of the values stored in this container at a random key

Comment:​

the one_of operator behavior depends on the nature of the operand

Special cases:​

  • if the operand is empty, one_of returns nil
  • if it is a graph, one_of returns one of the lists of edges
  • if it is a file, one_of returns one of the elements of the content of the file (that is also a container)
  • if it is a list or a matrix, one_of returns one of the values of the list or of the matrix
i <- any ([1,2,3]); //i equals 1, 2 or 3 
string sMat <- one_of(matrix([["c11","c12","c13"],["c21","c22","c23"]])); 	// sMat equals "c11","c12","c13", "c21","c22" or "c23"
  • if it is a map, one_of returns one the value of a random pair of the map
int im <- one_of ([2::3, 4::5, 6::7]);	// im equals 3, 5 or 7 
bool var3 <- [2::3, 4::5, 6::7].values contains im; // var3 equals true
  • if it is a population, one_of returns one of the agents of the population
bug b <- one_of(bug);  	// Given a previously defined species bug, b is one of the created bugs, e.g. bug3

See also: contains,

one_verifies​

Same signification as one_matches

or​

Possible uses:​

  • bool or any expression ---> bool
  • or (bool , any expression) ---> bool

Result:​

a bool value, equal to the logical or between the left-hand operand and the right-hand operand.

Comment:​

both operands are always casted to bool before applying the operator. Thus, an expression like 1 or 0 is accepted and returns true.

Examples:​

bool var0 <- true or false; // var0 equals true 
 int a <-3 ; int b <- 4; int c <- 7; 
bool var2 <- ((a+b) = c ) or ((a+b) > c ); // var2 equals true

See also: bool, and, !,

or​

Possible uses:​

  • predicate or predicate ---> predicate
  • or (predicate , predicate) ---> predicate

Result:​

create a new predicate from two others by including them as subintentions. It's an exclusive "or"

Examples:​

predicate1 or predicate2

osm_file​

Possible uses:​

  • osm_file (string) ---> file
  • string osm_file map<string,list> ---> file
  • osm_file (string , map<string,list>) ---> file

Result:​

Constructs a file of type osm. Allowed extensions are limited to osm, pbf, bz2, gz

Special cases:​

  • osm_file(string): This file constructor allows to read a osm (.osm, .pbf, .bz2, .gz) file (using WGS84 coordinate system for the data)
file f <- osm_file("file");
  • osm_file(string,map<string,list>): This file constructor allows to read an osm (.osm, .pbf, .bz2, .gz) file (using WGS84 coordinate system for the data)The map is used to filter the objects in the file according their attributes: for each key (string) of the map, only the objects that have a value for the attribute contained in the value set are kept. For an exhaustive list of the attibute of OSM data, see: http://wiki.openstreetmap.org/wiki/Map_Features
void var1 <- file f <- osm_file("file", map(["highway"::["primary", "secondary"], "building"::["yes"], "amenity"::[]]));; // var1 equals f will contain all the objects of file that have the attibute 'highway' with the value 'primary' or 'secondary', and the objects that have the attribute 'building' with the value 'yes', and all the objects that have the attribute 'aminity' (whatever the value).

See also: is_osm,

out_degree_of​

Possible uses:​

  • graph out_degree_of unknown ---> int
  • out_degree_of (graph , unknown) ---> int

Result:​

returns the out degree of a vertex (right-hand operand) in the graph given as left-hand operand.

Examples:​

int var1 <- graphFromMap out_degree_of (node(3)); // var1 equals 4

See also: in_degree_of, degree_of,

out_edges_of​

Possible uses:​

  • graph out_edges_of unknown ---> list
  • out_edges_of (graph , unknown) ---> list

Result:​

returns the list of the out-edges of a vertex (right-hand operand) in the graph given as left-hand operand.

Examples:​

list var1 <- graphFromMap out_edges_of (node(3)); // var1 equals 3

See also: in_edges_of,

overlapping​

Possible uses:​

  • container<unknown,geometry> overlapping geometry ---> list<geometry>
  • overlapping (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), overlapping the operand (casted as a geometry).

Examples:​

list<geometry> var0 <- [ag1, ag2, ag3] overlapping(self); // var0 equals return the agents among ag1, ag2 and ag3 that overlap the shape of the agent applying the operator. 
(species1 + species2) overlapping self

See also: neighbors_at, neighbors_of, agent_closest_to, agents_inside, closest_to, inside, agents_overlapping,

overlaps​

Possible uses:​

  • geometry overlaps geometry ---> bool
  • overlaps (geometry , geometry) ---> bool

Result:​

A boolean, equal to true if the left-geometry (or agent/point) overlaps the right-geometry (or agent/point).

Special cases:​

  • if one of the operand is null, returns false.
  • if one operand is a point, returns true if the point is included in the geometry

Examples:​

bool var0 <- polyline([{10,10},{20,20}]) overlaps polyline([{15,15},{25,25}]); // var0 equals true 
bool var1 <- polygon([{10,10},{10,20},{20,20},{20,10}]) overlaps polygon([{15,15},{15,25},{25,25},{25,15}]); // var1 equals true 
bool var2 <- polygon([{10,10},{10,20},{20,20},{20,10}]) overlaps polyline([{10,10},{20,20}]); // var2 equals true 
bool var3 <- polygon([{10,10},{10,20},{20,20},{20,10}]) overlaps {15,15}; // var3 equals true

See also: disjoint_from, crosses, intersects, partially_overlaps, touches,

pair​

Possible uses:​

  • pair (any) ---> pair

Result:​

casts the operand in a pair object.

palette​

Possible uses:​

  • palette (list<rgb>) ---> list<rgb>
  • map<rgb,float> palette int ---> list<rgb>
  • palette (map<rgb,float> , int) ---> list<rgb>

Result:​

transforms a list of n colors into a palette (necessary for some layers) returns a list of n colors chosen in the gradient provided. Colors are chosen by interpolating the stops of the gradient (the colors) using their weight, in the order described in the gradient. In case the map<rgb, float> passed in argument is not a gradient but a scale, the colors will be chosen in the set of colors and might appear duplicated in the palette

partially_overlapping​

Possible uses:​

  • container<unknown,geometry> partially_overlapping geometry ---> list<geometry>
  • partially_overlapping (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), partially_overlapping the operand (casted as a geometry).

Examples:​

list<geometry> var0 <- [ag1, ag2, ag3] partially_overlapping(self); // var0 equals the agents among ag1, ag2 and ag3 that partially_overlap the shape of the right-hand argument. 
list<geometry> var1 <- (species1 + species2) partially_overlapping (self); // var1 equals the agents among species species1 and species2 that partially_overlap the shape of the right-hand argument.

See also: neighbors_at, neighbors_of, closest_to, overlapping, agents_overlapping, inside, agents_inside, agent_closest_to,

partially_overlaps​

Possible uses:​

  • geometry partially_overlaps geometry ---> bool
  • partially_overlaps (geometry , geometry) ---> bool

Result:​

A boolean, equal to true if the left-geometry (or agent/point) partially overlaps the right-geometry (or agent/point).

Comment:​

if one geometry operand fully covers the other geometry operand, returns false (contrarily to the overlaps operator).

Special cases:​

  • if one of the operand is null, returns false.

Examples:​

bool var0 <- polyline([{10,10},{20,20}]) partially_overlaps polyline([{15,15},{25,25}]); // var0 equals true 
bool var1 <- polygon([{10,10},{10,20},{20,20},{20,10}]) partially_overlaps polygon([{15,15},{15,25},{25,25},{25,15}]); // var1 equals true 
bool var2 <- polygon([{10,10},{10,20},{20,20},{20,10}]) partially_overlaps {25,25}; // var2 equals false 
bool var3 <- polygon([{10,10},{10,20},{20,20},{20,10}]) partially_overlaps polyline([{10,10},{20,20}]); // var3 equals false

See also: disjoint_from, crosses, overlaps, intersects, touches,

path​

Possible uses:​

  • path (any) ---> path

Result:​

casts the operand in a path object.

Special cases:​

  • if the operand is a path, returns this path
  • if the operand is a geometry of an agent, returns a path from the list of points of the geometry
  • if the operand is a list, cast each element of the list as a point and create a path from these points
path p <- path([{12,12},{30,30},{50,50}]);

path_between​

Possible uses:​

  • map<agent,unknown> path_between container<unknown,geometry> ---> path
  • path_between (map<agent,unknown> , container<unknown,geometry>) ---> path
  • topology path_between container<unknown,geometry> ---> path
  • path_between (topology , container<unknown,geometry>) ---> path
  • list<agent> path_between container<unknown,geometry> ---> path
  • path_between (list<agent> , container<unknown,geometry>) ---> path
  • path_between (graph, geometry, geometry) ---> path
  • path_between (map<agent,unknown>, geometry, geometry) ---> path
  • path_between (topology, geometry, geometry) ---> path
  • path_between (list<agent>, geometry, geometry) ---> path

Result:​

The shortest path between several objects according to set of cells with corresponding weights The shortest path between a list of two objects in a graph The shortest path between two objects according to set of cells with corresponding weights The shortest path between two objects according to set of cells The shortest path between several objects according to set of cells

Examples:​

path var0 <- path_between (cell_grid as_map (each::each.is_obstacle ? 9999.0 : 1.0), [ag1, ag2, ag3]); // var0 equals A path between ag1 and ag2 and ag3 passing through the given cell_grid agents with minimal cost 
path var1 <- path_between (my_graph, ag1, ag2); // var1 equals A path between ag1 and ag2 
path var2 <- path_between (cell_grid as_map (each::each.is_obstacle ? 9999.0 : 1.0), ag1, ag2); // var2 equals A path between ag1 and ag2 passing through the given cell_grid agents with a minimal cost 
path var3 <- my_topology path_between (ag1, ag2); // var3 equals A path between ag1 and ag2 
path var4 <- path_between (cell_grid where each.is_free, ag1, ag2); // var4 equals A path between ag1 and ag2 passing through the given cell_grid agents 
path var5 <- my_topology path_between [ag1, ag2]; // var5 equals A path between ag1 and ag2 
path var6 <- path_between (cell_grid where each.is_free, [ag1, ag2, ag3]); // var6 equals A path between ag1 and ag2 and ag3 passing through the given cell_grid agents

See also: towards, direction_to, distance_between, direction_between, path_to, distance_to,

path_to​

Possible uses:​

  • geometry path_to geometry ---> path
  • path_to (geometry , geometry) ---> path
  • point path_to point ---> path
  • path_to (point , point) ---> path

Result:​

A path between two geometries (geometries, agents or points) considering the topology of the agent applying the operator.

Examples:​

path var0 <- ag1 path_to ag2; // var0 equals the path between ag1 and ag2 considering the topology of the agent applying the operator

See also: towards, direction_to, distance_between, direction_between, path_between, distance_to,

paths_between​

Possible uses:​

  • paths_between (graph, pair, int) ---> list<path>

Result:​

The K shortest paths between a list of two objects in a graph

Examples:​

list<path> var0 <- paths_between(my_graph, ag1:: ag2, 2); // var0 equals the 2 shortest paths (ordered by length) between ag1 and ag2

pbinom​

Same signification as binomial_sum

pchisq​

Same signification as chi_square

percent_absolute_deviation​

Possible uses:​

  • list<float> percent_absolute_deviation list<float> ---> float
  • percent_absolute_deviation (list<float> , list<float>) ---> float

Result:​

percent absolute deviation indicator for 2 series of values: percent_absolute_deviation(list_vals_observe,list_vals_sim)

Examples:​

float var0 <- percent_absolute_deviation([200,300,150,150,200],[250,250,100,200,200]); // var0 equals 20.0

percentile​

Same signification as quantile_inverse

pgamma​

Same signification as gamma_distribution

pgm_file​

Possible uses:​

  • pgm_file (string) ---> file

Result:​

Constructs a file of type pgm. Allowed extensions are limited to pgm

Special cases:​

  • pgm_file(string): This file constructor allows to read a pgm file
file f <-pgm_file("file.pgm");

See also: is_pgm,

plan​

Possible uses:​

  • container<unknown,geometry> plan float ---> geometry
  • plan (container<unknown,geometry> , float) ---> geometry

Result:​

A polyline geometry from the given list of points.

Special cases:​

  • if the operand is nil, returns the point geometry {0,0}
  • if the operand is composed of a single point, returns a point geometry.

Examples:​

geometry var0 <- polyplan([{0,0}, {0,10}, {10,10}, {10,0}],10); // var0 equals a polyline geometry composed of the 4 points with a depth of 10.

See also: around, circle, cone, link, norm, point, polygone, rectangle, square, triangle,

play_sound​

Possible uses:​

  • play_sound (string) ---> bool

Result:​

Play a wave file

Examples:​

bool sound_ok <- play_sound('beep.wav');

plus_days​

Possible uses:​

  • date plus_days int ---> date
  • plus_days (date , int) ---> date

Result:​

Add a given number of days to a date

Examples:​

date var0 <- date('2000-01-01') plus_days 12; // var0 equals date('2000-01-13')

plus_hours​

Possible uses:​

  • date plus_hours int ---> date
  • plus_hours (date , int) ---> date

Result:​

Add a given number of hours to a date

Examples:​

// equivalent to date1 + 15 #h 
date var1 <- date('2000-01-01') plus_hours 24; // var1 equals date('2000-01-02')

plus_minutes​

Possible uses:​

  • date plus_minutes int ---> date
  • plus_minutes (date , int) ---> date

Result:​

Add a given number of minutes to a date

Examples:​

// equivalent to date1 + 5 #mn 
date var1 <- date('2000-01-01') plus_minutes 5 ; // var1 equals date('2000-01-01 00:05:00')

plus_months​

Possible uses:​

  • date plus_months int ---> date
  • plus_months (date , int) ---> date

Result:​

Add a given number of months to a date

Examples:​

date var0 <- date('2000-01-01') plus_months 5; // var0 equals date('2000-06-01')

plus_ms​

Possible uses:​

  • date plus_ms int ---> date
  • plus_ms (date , int) ---> date

Result:​

Add a given number of milliseconds to a date

Examples:​

// equivalent to date('2000-01-01') + 15 #ms 
date var1 <- date('2000-01-01') plus_ms 1000 ; // var1 equals date('2000-01-01 00:00:01')

plus_seconds​

Same signification as +

plus_weeks​

Possible uses:​

  • date plus_weeks int ---> date
  • plus_weeks (date , int) ---> date

Result:​

Add a given number of weeks to a date

Examples:​

date var0 <- date('2000-01-01') plus_weeks 15; // var0 equals date('2000-04-15')

plus_years​

Possible uses:​

  • date plus_years int ---> date
  • plus_years (date , int) ---> date

Result:​

Add a given number of years to a date

Examples:​

date var0 <- date('2000-01-01') plus_years 15; // var0 equals date('2015-01-01')

pnorm​

Same signification as normal_area

point​

Possible uses:​

  • point (any) ---> point

Result:​

casts the operand in a point object.

points_along​

Possible uses:​

  • geometry points_along list<float> ---> list
  • points_along (geometry , list<float>) ---> list

Result:​

A list of points along the operand-geometry given its location in terms of rate of distance from the starting points of the geometry.

Examples:​

list var0 <-  line([{10,10},{80,80}]) points_along ([0.3, 0.5, 0.9]); // var0 equals the list of following points: [{31.0,31.0,0.0},{45.0,45.0,0.0},{73.0,73.0,0.0}]

See also: closest_points_with, farthest_point_to, points_at, points_on,

points_at​

Possible uses:​

  • int points_at float ---> list<point>
  • points_at (int , float) ---> list<point>

Result:​

A list of left-operand number of points located at a the right-operand distance to the agent location.

Examples:​

list<point> var0 <- 3 points_at(20.0); // var0 equals returns [pt1, pt2, pt3] with pt1, pt2 and pt3 located at a distance of 20.0 to the agent location

See also: any_location_in, any_point_in, closest_points_with, farthest_point_to,

points_in​

Possible uses:​

  • field points_in geometry ---> list<point>
  • points_in (field , geometry) ---> list<point>

points_on​

Possible uses:​

  • geometry points_on float ---> list
  • points_on (geometry , float) ---> list

Result:​

A list of points of the operand-geometry distant from each other to the float right-operand .

Examples:​

list var0 <-  square(5) points_on(2); // var0 equals a list of points belonging to the exterior ring of the square distant from each other of 2.

See also: closest_points_with, farthest_point_to, points_at,

poisson​

Possible uses:​

  • poisson (float) ---> int

Result:​

A value from a random variable following a Poisson distribution (with the positive expected number of occurence lambda as operand).

Comment:​

The Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time and/or space if these events occur with a known average rate and independently of the time since the last event, cf. Poisson distribution on Wikipedia.

Examples:​

int var0 <- poisson(3.5); // var0 equals a random positive integer

See also: binomial, gamma_rnd, gauss_rnd, lognormal_rnd, rnd, skew_gauss, truncated_gauss, weibull_rnd,

polygon​

Possible uses:​

  • polygon (container<unknown,geometry>) ---> geometry

Result:​

A polygon geometry from the given list of points.

Special cases:​

  • if the operand is nil, returns the point geometry {0,0}
  • if the operand is composed of a single point, returns a point geometry
  • if the operand is composed of 2 points, returns a polyline geometry.

Examples:​

geometry var0 <- polygon([{0,0}, {0,10}, {10,10}, {10,0}]); // var0 equals a polygon geometry composed of the 4 points. 
float var1 <- polygon([{0,0}, {0,10}, {10,10}, {10,0}]).area; // var1 equals 100.0 
point var2 <- polygon([{0,0}, {0,10}, {10,10}, {10,0}]).location; // var2 equals point(5.0,5.0,0.0)

See also: around, circle, cone, line, link, norm, point, polyline, rectangle, square, triangle,

polyhedron​

Possible uses:​

  • container<unknown,geometry> polyhedron float ---> geometry
  • polyhedron (container<unknown,geometry> , float) ---> geometry

Result:​

A polyhedron geometry from the given list of points.

Special cases:​

  • if the operand is nil, returns the point geometry {0,0}
  • if the operand is composed of a single point, returns a point geometry
  • if the operand is composed of 2 points, returns a polyline geometry.

Examples:​

geometry var0 <- polyhedron([{0,0}, {0,10}, {10,10}, {10,0}],10); // var0 equals a polygon geometry composed of the 4 points and of depth 10.

See also: around, circle, cone, line, link, norm, point, polyline, rectangle, square, triangle,

polyline​

Same signification as line

polyplan​

Same signification as plan

predecessors_of​

Possible uses:​

  • graph predecessors_of unknown ---> list
  • predecessors_of (graph , unknown) ---> list

Result:​

returns the list of predecessors (i.e. sources of in edges) of the given vertex (right-hand operand) in the given graph (left-hand operand)

Examples:​

list var1 <- graphEpidemio predecessors_of ({1,5}); // var1 equals [] 
list var2 <- graphEpidemio predecessors_of node({34,56}); // var2 equals [{12;45}]

See also: neighbors_of, successors_of,

predicate​

Possible uses:​

  • predicate (any) ---> predicate

Result:​

casts the operand in a predicate object.

predict​

Possible uses:​

  • regression predict list ---> float
  • predict (regression , list) ---> float

Result:​

returns the value predicted by the regression parameters for a given instance. Usage: predict(regression, instance)

Examples:​

predict(my_regression, [1,2,3])

product​

Same signification as mul

product_of​

Possible uses:​

  • container product_of any expression ---> unknown
  • product_of (container , any expression) ---> unknown

Result:​

the product 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] product_of (each); // var1 equals 48

Examples:​

unknown var0 <- [1,2] product_of (each * 10 ); // var0 equals 200

See also: min_of, max_of, sum_of, mean_of,

promethee_DM​

Possible uses:​

  • list<list> promethee_DM list<map<string,unknown>> ---> int
  • promethee_DM (list<list> , list<map<string,unknown>>) ---> int

Result:​

The index of the best candidate according to the Promethee II method. This method is based on a comparison per pair of possible candidates along each criterion: all candidates are compared to each other by pair and ranked. More information about this method can be found in Behzadian, M., Kazemzadeh, R., Albadvi, A., M., A.: PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research(2010). The first operand is the list of candidates (a candidate is a list of criterion values); the second operand the list of criterion: A criterion is a map that contains fours elements: a name, a weight, a preference value (p) and an indifference value (q). The preference value represents the threshold from which the difference between two criterion values allows to prefer one vector of values over another. The indifference value represents the threshold from which the difference between two criterion values is considered significant.

Special cases:​

  • returns -1 if the list of candidates is nil or empty

Examples:​

int var0 <- promethee_DM([[1.0, 7.0],[4.0,2.0],[3.0, 3.0]], [["name"::"utility", "weight" :: 2.0,"p"::0.5, "q"::0.0, "s"::1.0, "maximize" :: true],["name"::"price", "weight" :: 1.0,"p"::0.5, "q"::0.0, "s"::1.0, "maximize" :: false]]); // var0 equals 1

See also: weighted_means_DM, electre_DM, evidence_theory_DM,

property_file​

Possible uses:​

  • property_file (string) ---> file
  • string property_file map<string,string> ---> file
  • property_file (string , map<string,string>) ---> file

Result:​

Constructs a file of type property. Allowed extensions are limited to properties

Special cases:​

  • property_file(string): This file constructor allows to read a property file (.properties)
file f <-property_file("file.properties");
  • property_file(string,map<string,string>): This file constructor allows to store a map in a property file (it does not save it - just store it in memory)
file f <-property_file("file.properties", map(["param1"::1.0,"param3"::10.0 ]));

See also: is_property,

pValue_for_fStat​

Possible uses:​

  • pValue_for_fStat (float, int, int) ---> float

Result:​

Returns the P value of F statistic fstat with numerator degrees of freedom dfn and denominator degress of freedom dfd. Uses the incomplete Beta function.

Examples:​

float var0 <- pValue_for_fStat(1.9,10,12) with_precision(3); // var0 equals 0.145

pValue_for_tStat​

Possible uses:​

  • float pValue_for_tStat int ---> float
  • pValue_for_tStat (float , int) ---> float

Result:​

Returns the P value of the T statistic tstat with df degrees of freedom. This is a two-tailed test so we just double the right tail which is given by studentT of -|tstat|.

Examples:​

float var0 <- pValue_for_tStat(0.9,10) with_precision(3); // var0 equals 0.389

pyramid​

Possible uses:​

  • pyramid (float) ---> geometry

Result:​

A square geometry which side size is given by the operand.

Comment:​

the center of the pyramid 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 <- pyramid(5); // var0 equals a geometry as a square with side_size = 5.

See also: around, circle, cone, line, link, norm, point, polygon, polyline, rectangle, square,

quantile​

Possible uses:​

  • container quantile float ---> float
  • quantile (container , float) ---> float

Result:​

Returns the phi-quantile; that is, an element elem for which holds that phi percent of data elements are less than elem. The quantile does not need necessarily to be contained in the data sequence, it can be a linear interpolation. Note that the container holding the values must be sorted first

Examples:​

float var0 <- quantile([1,3,5,6,9,11,12,13,19,21,22,32,35,36,45,44,55,68,79,80,81,88,90,91,92,100], 0.5); // var0 equals 35.5

quantile_inverse​

Possible uses:​

  • container quantile_inverse float ---> float
  • quantile_inverse (container , float) ---> float

Result:​

Returns how many percent of the elements contained in the receiver are <= element. Does linear interpolation if the element is not contained but lies in between two contained elements. Note that the container holding the values must be sorted first

Examples:​

float var0 <- quantile_inverse([1,3,5,6,9,11,12,13,19,21,22,32,35,36,45,44,55,68,79,80,81,88,90,91,92,100], 35.5) with_precision(2); // var0 equals 0.52

range​

Possible uses:​

  • range (int) ---> list
  • int range int ---> list
  • range (int , int) ---> list
  • range (int, int, int) ---> list

Result:​

builds a list of int representing all contiguous values from zero to the argument. The range can be increasing or decreasing.

Special cases:​

  • Passing 0 will return a singleton list with 0.
  • When used with 2 operands, it returns the list of int representing all contiguous values from the first to the second argument. Passing the same value for both will return a singleton list with this value
list var0 <- range(0,2); // var0 equals [0,1,2]
  • When used with 3 operands, it returns a list of int representing all contiguous values from the first to the second argument, using the step represented by the third argument. The range can be increasing or decreasing. Passing the same value for both will return a singleton list with this value. Passing a step of 0 will result in an exception. Attempting to build infinite ranges (e.g. end > start with a negative step) will similarly not be accepted and yield an exception
list var1 <- range(0,6,2); // var1 equals [0,2,4,6]

rank_interpolated​

Possible uses:​

  • container rank_interpolated float ---> float
  • rank_interpolated (container , float) ---> float

Result:​

Returns the linearly interpolated number of elements in a list less or equal to a given element. The rank is the number of elements <= element. Ranks are of the form {0, 1, 2,..., sortedList.size()}. If no element is <= element, then the rank is zero. If the element lies in between two contained elements, then linear interpolation is used and a non integer value is returned. Note that the container holding the values must be sorted first

Examples:​

float var0 <- rank_interpolated([1,3,5,6,9,11,12,13,19,21,22,32,35,36,45,44,55,68,79,80,81,88,90,91,92,100], 35); // var0 equals 13.0

read​

Possible uses:​

  • read (string) ---> unknown

Result:​

Reads an attribute of the agent. The attribute's name is specified by the operand.

Examples:​

agent_name <- read ('name'); //agent_name equals reads the 'name' variable of agent then assigns the returned value to the 'agent_name' variable.

rectangle​

Possible uses:​

  • rectangle (point) ---> geometry
  • point rectangle point ---> geometry
  • rectangle (point , point) ---> geometry
  • float rectangle float ---> geometry
  • rectangle (float , float) ---> geometry

Result:​

A rectangle geometry, computed from the operands values (e.g. the 2 side sizes).

Comment:​

the center of the rectangle is by default the location of the current agent in which has been called this operator.the center of the rectangle 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 <- rectangle({0.0,0.0}, {10.0,10.0}); // var0 equals a geometry as a rectangle with {1.0,1.0} as the upper-left corner, {10.0,10.0} as the lower-right corner. 
geometry var1 <- rectangle({10, 5}); // var1 equals a geometry as a rectangle with width = 10 and height = 5. 
geometry var2 <- rectangle(10, 5); // var2 equals a geometry as a rectangle with width = 10 and height = 5.

See also: around, circle, cone, line, link, norm, point, polygon, polyline, square, triangle,

reduced_by​

Same signification as -

regex_matches​

Possible uses:​

  • string regex_matches string ---> list<string>
  • regex_matches (string , string) ---> list<string>

Result:​

Returns the list of sub-strings of the first operand that match the regular expression provided in the second operand

Examples:​

list<string> var0 <- regex_matches("colour, color", "colou?r"); // var0 equals ['colour','color']

See also: replace_regex,

regression​

Possible uses:​

  • regression (any) ---> regression

Result:​

casts the operand in a regression object.

remove_duplicates​

Possible uses:​

  • remove_duplicates (container) ---> list

Result:​

produces a set from the elements of the operand (i.e. a list without duplicated elements)

Special cases:​

  • if the operand is a graph, remove_duplicates returns the set of nodes
  • if the operand is empty, remove_duplicates returns an empty list
list var1 <- remove_duplicates([]); // var1 equals []
  • if the operand is a map, remove_duplicates returns the set of values without duplicate
list var2 <- remove_duplicates([1::3,2::4,3::3,5::7]); // var2 equals [3,4,7]
  • if the operand is a matrix, remove_duplicates returns a list containing all the elments with duplicated.
list var3 <- remove_duplicates([["c11","c12","c13","c13"],["c21","c22","c23","c23"]]); // var3 equals [["c11","c12","c13","c21","c22","c23"]]

Examples:​

list var0 <- remove_duplicates([3,2,5,1,2,3,5,5,5]); // var0 equals [3,2,5,1]

remove_node_from​

Possible uses:​

  • geometry remove_node_from graph ---> graph
  • remove_node_from (geometry , graph) ---> graph

Result:​

removes a node from a graph.

Comment:​

WARNING / side effect: this operator modifies the operand and does not create a new graph. All the edges containing this node are also removed.

Examples:​

graph var0 <- node(0) remove_node_from graphEpidemio; // var0 equals the graph without node(0)

rename_file​

Possible uses:​

  • string rename_file string ---> bool
  • rename_file (string , string) ---> bool

Result:​

rename/move a file or a folder

Examples:​

bool rename_file_ok <- rename_file("../includes/my_folder","../includes/my_new_folder");

replace​

Possible uses:​

  • replace (string, string, string) ---> string

Result:​

Returns the string obtained by replacing by the third operand, in the first operand, all the sub-strings equal to the second operand

Examples:​

string var0 <- replace('to be or not to be,that is the question','to', 'do'); // var0 equals 'do be or not do be,that is the question'

See also: replace_regex,

replace_regex​

Possible uses:​

  • replace_regex (string, string, string) ---> string

Result:​

Returns the string obtained by replacing by the third operand, in the first operand, all the sub-strings that match the regular expression of the second operand

Examples:​

string var0 <- replace_regex("colour, color", "colou?r", "col"); // var0 equals 'col, col'

See also: replace,

restore_simulation​

Possible uses:​

  • restore_simulation (string) ---> int

Result:​

restores a simulation from a string value containing a serialized simulation.

Comment:​

This operator should be used in a reflex of an experiment and it will remove the current simulation and replace it by the new restored simulation

See also: restore_simulation_from_file,

restore_simulation_from_file​

Possible uses:​

  • restore_simulation_from_file (file) ---> int

Result:​

Restores a simulation from a saved simulation file.

Comment:​

This operator should be used in a reflex of an experiment and it will remove the current simulation and replace it by the new restored simulation

See also: restore_simulation,

reverse​

Possible uses:​

  • reverse (string) ---> string
  • reverse (container<KeyType,ValueType>) ---> container<unknown,unknown>
  • reverse (map<K,V>) ---> map

Result:​

the operand elements in the reversed order in a copy of the operand.

Comment:​

the reverse operator behavior depends on the nature of the operand

Special cases:​

  • if it is a file, reverse returns a copy of the file with a reversed content
  • if it is a population, reverse returns a copy of the population with elements in the reversed order
  • if it is a graph, reverse returns a copy of the graph (with all edges and vertexes), with all of the edges reversed
  • if it is a string, reverse returns a new string with characters in the reversed order
string var0 <- reverse ('abcd'); // var0 equals 'dcba'
  • if it is a list, reverse returns a copy of the operand list with elements in the reversed order
list<int> var1 <- reverse ([10,12,14]); // var1 equals [14, 12, 10]
  • if it is a map, reverse returns a copy of the operand map with each pair in the reversed order (i.e. all keys become values and values become keys)
map<int,string> var2 <- reverse (['k1'::44, 'k2'::32, 'k3'::12]); // var2 equals [44::'k1', 32::'k2', 12::'k3']
  • if it is a matrix, reverse returns a new matrix containing the transpose of the operand.
matrix<string> var3 <- reverse(matrix([["c11","c12","c13"],["c21","c22","c23"]])); // var3 equals matrix([["c11","c21"],["c12","c22"],["c13","c23"]])

Examples:​

map<int,int> m <- [1::111,2::222, 3::333, 4::444]; 
map var5 <- reverse(m); // var5 equals map([111::1,222::2,333::3,444::4])

rewire_n​

Possible uses:​

  • graph rewire_n int ---> graph
  • rewire_n (graph , int) ---> graph

Result:​

rewires the given count of edges.

Comment:​

WARNING / side effect: this operator modifies the operand and does not create a new graph. If there are too many edges, all the edges will be rewired.

Examples:​

graph var1 <- graphEpidemio rewire_n 10; // var1 equals the graph with 3 edges rewired

rgb​

Possible uses:​

  • rgb rgb int ---> rgb
  • rgb (rgb , int) ---> rgb
  • string rgb int ---> rgb
  • rgb (string , int) ---> rgb
  • rgb rgb float ---> rgb
  • rgb (rgb , float) ---> rgb
  • rgb (int, int, int) ---> rgb
  • rgb (int, int, int, int) ---> rgb
  • rgb (int, int, int, float) ---> rgb

Result:​

Returns a color defined by red, green, blue components and an alpha blending value.

Special cases:​

  • It can be used with a color and an alpha between 0 and 255
  • It can be used with r=red, g=green, b=blue (each between 0 and 255), a=alpha (between 0 and 255)
  • It can be used with a name of color and alpha (between 0 and 255)
  • It can be used with a color and an alpha between 0 and 1
  • It can be used with r=red, g=green, b=blue, each between 0 and 255
  • It can be used with r=red, g=green, b=blue (each between 0 and 255), a=alpha (between 0.0 and 1.0)

Examples:​

rgb var0 <- rgb(rgb(255,0,0),125); // var0 equals a light red color 
rgb var1 <- rgb (255,0,0,125); // var1 equals a light red color 
rgb var2 <- rgb ("red"); // var2 equals rgb(255,0,0) 
rgb var3 <- rgb(rgb(255,0,0),0.5); // var3 equals a light red color 
rgb var4 <- rgb (255,0,0); // var4 equals #red 
rgb var5 <- rgb (255,0,0,0.5); // var5 equals a light red color

See also: hsb,

rgb​

Possible uses:​

  • rgb (any) ---> rgb

Result:​

casts the operand in a rgb object.

rms​

Possible uses:​

  • int rms float ---> float
  • rms (int , float) ---> float

Result:​

Returns the RMS (Root-Mean-Square) of a data sequence. The RMS of data sequence is the square-root of the mean of the squares of the elements in the data sequence. It is a measure of the average size of the elements of a data sequence.

Examples:​

 list<float> data_sequence <- [6.0, 7.0, 8.0, 9.0];  
 list<float> squares <- data_sequence collect (each*each);  
float var2 <-  rms(length(data_sequence),sum(squares)) with_precision(4) ; // var2 equals 7.5829

rnd​

Possible uses:​

  • rnd (float) ---> float
  • rnd (int) ---> int
  • rnd (point) ---> point
  • int rnd int ---> int
  • rnd (int , int) ---> int
  • point rnd point ---> point
  • rnd (point , point) ---> point
  • float rnd float ---> float
  • rnd (float , float) ---> float
  • rnd (point, point, float) ---> point
  • rnd (int, int, int) ---> int
  • rnd (float, float, float) ---> float

Result:​

returns a random value in a range (the type value depends on the operand type): when called with an integer, it returns a random integer in the interval [0, operand]

Comment:​

to obtain a probability between 0 and 1, use the expression (rnd n) / n, where n is used to indicate the precision

Special cases:​

  • if the operand is a float, returns an uniformly distributed float random number in [0.0, to]
  • if the operand is a point, returns a point with three random float ordinates, each in the interval [0, ordinate of argument]

Examples:​

float var0 <- rnd(3.4); // var0 equals a random float between 0.0 and 3.4 
int var1 <- rnd (2, 4); // var1 equals 2, 3 or 4 
point var2 <- rnd ({2.0, 4.0}, {2.0, 5.0, 10.0}, 1); // var2 equals a point with x = 2.0, y equal to 2.0, 3.0 or 4.0 and z between 0.0 and 10.0 every 1.0 
int var3 <- rnd (2); // var3 equals 0, 1 or 2 
point var4 <- rnd ({2.0, 4.0}, {2.0, 5.0, 10.0}); // var4 equals a point with x = 2.0, y between 2.0 and 4.0 and z between 0.0 and 10.0 
int var5 <- rnd (2, 12, 4); // var5 equals 2, 6 or 10 
float var6 <- rnd (2.0, 4.0, 0.5); // var6 equals a float number between 2.0 and 4.0 every 0.5 
point var7 <- rnd ({2.5,3, 0.0}); // var7 equals {x,y} with x in [0.0,2.0], y in [0.0,3.0], z = 0.0 
float var8 <- rnd (2.0, 4.0); // var8 equals a float number between 2.0 and 4.0

See also: binomial, gamma_rnd, gauss_rnd, lognormal_rnd, poisson, skew_gauss, truncated_gauss, weibull_rnd,

rnd_choice​

Possible uses:​

  • rnd_choice (map<unknown,unknown>) ---> unknown
  • rnd_choice (list) ---> int

Result:​

returns a key from the map with a probability following the (normalized) distribution described in map values (a form of lottery) returns an index of the given list with a probability following the (normalized) distribution described in the list (a form of lottery)

Examples:​

unknown var0 <- rnd_choice(["toto"::0.2,\"tata\"::0.5,\"tonton\"::0.3]); // var0 equals 2/10 chances to return "toto", 5/10 chances to return "tata", 3/10 chances to return "tonton" 
int var1 <- rnd_choice([0.2,0.5,0.3]); // var1 equals 2/10 chances to return 0, 5/10 chances to return 1, 3/10 chances to return 2

See also: rnd,

rnd_color​

Possible uses:​

  • rnd_color (int) ---> rgb
  • int rnd_color int ---> rgb
  • rnd_color (int , int) ---> rgb

Result:​

Return a random color equivalent to rgb(rnd(first_op, last_op),rnd(first_op, last_op),rnd(first_op, last_op)) rgb color

Comment:​

Return a random color equivalent to rgb(rnd(operand),rnd(operand),rnd(operand))

Examples:​

rgb var0 <- rnd_color(100, 200); // var0 equals a random color, equivalent to rgb(rnd(100, 200),rnd(100, 200),rnd(100, 200)) 
rgb var1 <- rnd_color(255); // var1 equals a random color, equivalent to rgb(rnd(255),rnd(255),rnd(255))

See also: rgb, hsb,

rotated_by​

Possible uses:​

  • geometry rotated_by float ---> geometry
  • rotated_by (geometry , float) ---> geometry
  • geometry rotated_by int ---> geometry
  • rotated_by (geometry , int) ---> geometry
  • point rotated_by pair ---> point
  • rotated_by (point , pair) ---> point
  • geometry rotated_by pair ---> geometry
  • rotated_by (geometry , pair) ---> geometry
  • rotated_by (geometry, float, point) ---> geometry

Result:​

A geometry resulting from the application of a rotation by the right-hand operand angle (degree) to the left-hand operand (geometry, agent, point) A geometry resulting from the application of a rotation by the operand angles (degree) along the operand axis (last operand) to the left-hand operand (geometry, agent, point)

Special cases:​

  • the right-hand operand representing the angle can be a float or an integer
  • When used with a point and a pair angle::point, it returns a point resulting from the application of the right-hand rotation operand (angles in degree) to the left-hand operand point

Examples:​

geometry var0 <- self rotated_by 45; // var0 equals the geometry resulting from a 45 degrees rotation to the geometry of the agent applying the operator. 
geometry var1 <- rotated_by(pyramid(10),45.0::{1,0,0}); // var1 equals the geometry resulting from a 45 degrees rotation along the {1,0,0} vector to the geometry of the agent applying the operator. 
geometry var2 <- rotated_by(pyramid(10),45.0, {1,0,0}); // var2 equals the geometry resulting from a 45 degrees rotation along the {1,0,0} vector to the geometry of the agent applying the operator.

See also: transformed_by, translated_by,

rotation_composition​

Possible uses:​

  • rotation_composition (list<pair>) ---> pair<float,point>

Result:​

The rotation resulting from the composition of the rotations in the list, from left to right. Angles are in degrees.

Examples:​

pair<float,point> var0 <- rotation_composition([38.0::{1,1,1},90.0::{1,0,0}]); // var0 equals 115.22128507898108::{0.9491582126366207,0.31479943993669307,-0.0}

See also: inverse_rotation,

round​

Possible uses:​

  • round (int) ---> int
  • round (point) ---> point
  • round (float) ---> int

Result:​

Returns the rounded value of the operand.

Special cases:​

  • if the operand is an int, round returns it

Examples:​

point var0 <- {12345.78943,  12345.78943, 12345.78943} with_precision 2; // var0 equals {12345.79,12345.79,12345.79} 
int var1 <- round (0.51); // var1 equals 1 
int var2 <- round (100.2); // var2 equals 100 
int var3 <- round(-0.51); // var3 equals -1

See also: round, int, with_precision,

row_at​

Possible uses:​

  • matrix<unknown> row_at int ---> list<unknown>
  • row_at (matrix<unknown> , int) ---> list<unknown>

Result:​

returns the row at a num_line (right-hand operand)

Examples:​

list<unknown> var0 <- matrix([["el11","el12","el13"],["el21","el22","el23"],["el31","el32","el33"]]) row_at 2; // var0 equals ["el13","el23","el33"]

See also: column_at, columns_list,

rows_list​

Possible uses:​

  • rows_list (matrix<unknown>) ---> list<list<unknown>>

Result:​

returns a list of the rows of the matrix, with each row as a list of elements

Examples:​

list<list<unknown>> var0 <- rows_list(matrix([["el11","el12","el13"],["el21","el22","el23"],["el31","el32","el33"]])); // var0 equals [["el11","el21","el31"],["el12","el22","el32"],["el13","el23","el33"]]

See also: columns_list,