====== Buzz Syntax Cheatsheet ======
^ Category ^ Examples ^
^ Comments | # This is a comment
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^ File inclusion | include "otherfile.bzz"
# NOTE: A specific file can be included only once.
# Any 'include' statement for a file is ignored after the first inclusion
# occurred.
# Relative paths are automatically transformed into absolute paths before
# including a file.
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^ Variables | # assignment (by default variables are global)
x = 2.55 # number
x = "ciao" # string
# local variables
function f() {
var x = 42
# do stuff with x
}
# printing on the ARGoS logger
log("INFO: x = " , x)
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^ Conditionals | # simple if/then
if (x > 3) {
log("x is too big")
}
# if/else
if (x > 3)
log("x is too big")
else if (x < 3)
log("x is too small")
else
log("maybe I just don't like x")
# checking for equality
if x == 3
log("x is equal to 3")
# checking for inequality
if (x != 4)
log("x is different from 4")
# combining conditions with OR
if (x < 3) or (x > 3)
log("x is not 3")
# combining conditions with AND
if ((x > 3) and (y > 3))
log("x and y are too big")
# negating a condition
if (not (x < 3))
log("x is <= 3")
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^ Loops |# 'while' loop to print 1 2 3 4 5
x = 0
while (x < 5) {
x = x + 1
log(x)
}
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^ Tables |# creating an empty table
t = {}
# creating a table with some initial value
t = { .x=3 }
# using the contents of a table: two equivalent ways
log("t.x = ", t.x) # dot syntax
log("t['x'] = ", t["x"]) # string syntax
# printing the contents of a table: a custom function
function table_print(t) {
foreach(t, function(key, value) {
log(key, " -> ", value)
})
}
# tables are always passed by reference!
t1 = { .x=3 }
t2 = t1 # now t2 points to the contents of t1 -> no deep copy
t2.x = 5
log(t1.x) # prints 5, not 3!
# copying tables the right way
function table_copy(t) {
var t2 = {}
foreach(t, function(key, value) {
t2[key] = value
})
return t2
}
t1 = { .x=3 }
t2 = table.copy(t1)
t2.x = 5
log(t1.x) # prints 3
log(t2.x) # prints 5
# prints the number of elements in a
log(size(a))
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^ Functions |# defining a function
function my_fun(p) {
log("Called my_fun(", p, ")")
}
# returning a value
function my_add(a, b) {
return a + b
}
# creating a lambda
lambda = function(a, b) {
return a + b
}
lambda(1,2)
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^ Math |# all the math functions are part of the 'math' table
# setting a 2D vector from length and angle
function vec2_new_polar(length, angle) {
var vec2 = {
x = length * math.cos(angle)
y = length * math.sin(angle)
}
return vec2
}
v = vec2_new_polar(2, math.pi/3)
# Summing two 2D vectors (v1 = v1 + v2)
function vec2_sum(v1, v2) {
v1.x = v1.x + v2.x
v1.y = v1.y + v2.y
}
v1 = { .x=1, .y=2 }
v2 = { .x=3, .y=1 }
vec2_sum(v1, v2)
# Getting the angle of a 2D vector
function vec2_angle(v) {
return math.atan(v.y, v.x)
}
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^ Swarm management |# creation of a swarm with identifier 1
s = swarm.create(1)
# Join the swarm if the robot identifier (id) is even
# - 'id' is an internal symbol that refers to the
# numeric id of the robot executing the script
# - % is the modulo operator
s.select(id % 2 == 0)
# Join the swarm unconditionally
s.join()
# Leave the swarm if the robot id is greater than 5
s.unselect(id > 5)
# Leave the swarm unconditionally
s.leave()
# Check whether a robot belongs to s
if(s.in()) { ... }
# Assigning a task to a swarm
s.exec(function() { ... })
# a, b are swarms defined earlier in the script
# Create new swarm with robots belonging to both a and b
# The first argument is a unique swarm identifier
i = swarm.intersection(100, a, b)
# Create new swarm with robots belonging to a or b
u = swarm.union(101, a, b)
# Create new swarm with robots belonging to a and not to b
d = swarm.difference(102, a, b)
# Create a new swarm n as the negation of swarm s
n = s.others(103)
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^ Neighbor management | # Iteration (rid is the neighbor's id)
neighbors.foreach(
function(rid, data) {
log("robot ", rid, ": ",
"distance = ", data.distance, ", ",
"azimuth = ", data.azimuth, ", ",
"elevation = ", data.elevation) })
# Transformation
cart = neighbors.map(
function(rid, data) {
var c = {}
c.x = data.distance * math.cos(data.elevation) *
math.cos(data.azimuth)
c.y = data.distance * math.cos(data.elevation) *
math.sin(data.azimuth)
c.z = data.distance * math.sin(data.elevation)
return c
})
# Reduction (accum is a table)
# with values x, y, and z, initialized to 0
result = cart.reduce(function(rid, data, accum) {
accum.x = accum.x + data.x
accum.y = accum.y + data.y
accum.z = accum.z + data.z
return accum
}, {.x=0, .y=0, .z=0})
# Filtering
onemeter = neighbors.filter(function(rid, data) {
# We assume the distance is expressed in centimeters
return data.distance < 100 })
# Listening to a (key,value) pair
neighbors.listen("key",
function(vid, value, rid) {
log("Got (", vid, ",", value, ") from robot #", rid)
}
)
# Stopping listening to a key
neighbors.ignore("key")
# Broadcasting a (key,value) pair
neighbors.broadcast("key", value)
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^ Virtual stigmergy | # Create a new virtual stigmergy
# A unique id (1 here) must be passed
v = stigmergy.create(1)
# Write a (key,value) entry into the structure
v.put("a", 6)
# Read a value from the structure
x = v.get("a")
# Get the number of keys in the structure
log("The vstig has ", v.size(), " elements")
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