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Clarify radii and distance types in documentation

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Because not all circles are round:
* circles using an euclidean metric are what we usually call "round"
* circles using a maximum metric look like euclidean rectangles with equal adjacent sides (squares)
* circles using a manhattan metric look like an euclidean right angled rhombus (squares, but 45° rotated to the former one)

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This commit is contained in:
Tim 2015-09-20 15:19:52 +02:00 committed by est31
parent 89e8f3a918
commit 776760aba7
1 changed files with 8 additions and 6 deletions
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14
doc/lua_api.txt
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@ -393,13 +393,13 @@ Examples of sound parameter tables:
{ {
pos = {x=1,y=2,z=3}, pos = {x=1,y=2,z=3},
gain = 1.0, -- default gain = 1.0, -- default
max_hear_distance = 32, -- default max_hear_distance = 32, -- default, uses an euclidean metric
} }
-- Play connected to an object, looped -- Play connected to an object, looped
{ {
object = <an ObjectRef>, object = <an ObjectRef>,
gain = 1.0, -- default gain = 1.0, -- default
max_hear_distance = 32, -- default max_hear_distance = 32, -- default, uses an euclidean metric
loop = true, -- only sounds connected to objects can be looped loop = true, -- only sounds connected to objects can be looped
} }
@ -1664,7 +1664,7 @@ numerical form, the raw integer value of an ARGB8 quad:
or string form, a ColorString (defined above): or string form, a ColorString (defined above):
`colorspec = "green"` `colorspec = "green"`
Vector helpers Spatial Vectors
-------------- --------------
* `vector.new([x[, y, z]])`: returns a vector. * `vector.new([x[, y, z]])`: returns a vector.
@ -1682,8 +1682,8 @@ For the following functions `x` can be either a vector or a number:
* `vector.add(v, x)`: returns a vector * `vector.add(v, x)`: returns a vector
* `vector.subtract(v, x)`: returns a vector * `vector.subtract(v, x)`: returns a vector
* `vector.multiply(v, x)`: returns a vector * `vector.multiply(v, x)`: returns a scaled vector or Schur product
* `vector.divide(v, x)`: returns a vector * `vector.divide(v, x)`: returns a scaled vector or Schur quotient
Helper functions Helper functions
----------------- -----------------
@ -1971,11 +1971,13 @@ and `minetest.auth_reload` call the authetification handler.
* Returns `ObjectRef`, or `nil` if failed * Returns `ObjectRef`, or `nil` if failed
* `minetest.get_player_by_name(name)`: Get an `ObjectRef` to a player * `minetest.get_player_by_name(name)`: Get an `ObjectRef` to a player
* `minetest.get_objects_inside_radius(pos, radius)` * `minetest.get_objects_inside_radius(pos, radius)`
* `radius`: using an euclidean metric
* `minetest.set_timeofday(val)` * `minetest.set_timeofday(val)`
* `val` is between `0` and `1`; `0` for midnight, `0.5` for midday * `val` is between `0` and `1`; `0` for midnight, `0.5` for midday
* `minetest.get_timeofday()` * `minetest.get_timeofday()`
* `minetest.get_gametime()`: returns the time, in seconds, since the world was created * `minetest.get_gametime()`: returns the time, in seconds, since the world was created
* `minetest.find_node_near(pos, radius, nodenames)`: returns pos or `nil` * `minetest.find_node_near(pos, radius, nodenames)`: returns pos or `nil`
* `radius`: using a maximum metric
* `nodenames`: e.g. `{"ignore", "group:tree"}` or `"default:dirt"` * `nodenames`: e.g. `{"ignore", "group:tree"}` or `"default:dirt"`
* `minetest.find_nodes_in_area(minp, maxp, nodenames)`: returns a list of positions * `minetest.find_nodes_in_area(minp, maxp, nodenames)`: returns a list of positions
* returns as second value a table with the count of the individual nodes found * returns as second value a table with the count of the individual nodes found
@ -2039,7 +2041,7 @@ and `minetest.auth_reload` call the authetification handler.
* returns a table of 3D points representing a path from `pos1` to `pos2` or `nil` * returns a table of 3D points representing a path from `pos1` to `pos2` or `nil`
* `pos1`: start position * `pos1`: start position
* `pos2`: end position * `pos2`: end position
* `searchdistance`: number of blocks to search in each direction * `searchdistance`: number of blocks to search in each direction using a maximum metric
* `max_jump`: maximum height difference to consider walkable * `max_jump`: maximum height difference to consider walkable
* `max_drop`: maximum height difference to consider droppable * `max_drop`: maximum height difference to consider droppable
* `algorithm`: One of `"A*_noprefetch"` (default), `"A*"`, `"Dijkstra"` * `algorithm`: One of `"A*_noprefetch"` (default), `"A*"`, `"Dijkstra"`