starfruit 0.2.1
starfruit: ^0.2.1 copied to clipboard
A mathematical library extending and bettering provided dart and dart:math functions.
Starfruit #
A library containing useful utilities, efficiencies, and abstractions to improve over the Dart SDK and dart:math. It takes heavy inspiration from Guava (by Google) for Java, and ports some functions from it.
Classes #
Note: https://pub.dev/documentation/starfruit/latest/starfruit/starfruit-library.html is auto-generated dartdocs. This has a more detailed rundown of every class and method. For here, every class and method is listed, along with basic usage for each class. You can also see usages below for extra guidance
StarMathUtils() OR mUtils
- To use, instantiate class with StarMathUtils() or use default instantiation (mUtils)
- Methods (mUtils.___):
roundToDouble (double input, int decimalPlaces)
ceilToDouble (double input, int decimalPlaces)
floorToDouble (double input, int decimalPlaces)
isPowerOfTwo (input)
log (base, input)
isMathematicalInteger (double input)
factorial (input)
fuzzyEquals (x, y, tolerance)
isPrime (int n)
lcm (x, y)
sinh (x)
cosh (x)
tanh (x)
asinh (x)
acosh (x)
atanh (x)
- Inputs are num unless otherwise stated
StarCollectionUtils() OR cUtils
- To use, instantiate class with StarCollectionsUtils() or use default instantiation (cUtils)
- Methods (cUtils.___):
chunks (List<Object> inp, int chunkSize)
collapse (List<List<Object>> inp)
nth (List<Object> inp, int interval)
random (List<Object> inp, [int n = 1])
flip (Map<Object, Object> inp)
zip (List<Object> keys, List<Object> values)
unzip (Map<Object,Object> inp)
every (List<Object> inp, bool test(Object element))
StarStats (dataset)
- To use, instantiate class with
StarStats(List<num> a)
and pass desired data as a paramater - Getters:
baseSet
median
mean
mode
variance
stddev
cardinality
- Methods:
topElements (elements)
bottomElements (elements)
- Inputs are num
StarStatsXY (Map of points)
- To use, instantiate class with
StarStatsXY(Map<num,num> xy)
and pass desired data as parameter, where desired data is formatted {x1: y1, x2: y2, x3: y3, ...} - Getters:
baseMap
x
y
linReg
corCoefficient
- Methods:
detCoefficient (int degree)
Usage Examples #
Math Utilities:
import 'package:starfruit/starfruit.dart';
main() {
//Round to 2 decimal places
//Ceiling and flooring to decimal places is also available
print("Round 3.5634 to 2 decimal places:");
print(mUtils.roundToDouble(3.5634, 2));
print("");
//Power of two check
print("Is 8 a power of two?");
print(mUtils.isPowerOfTwo(8));
print("");
//Calculate log base 2 of 8
print("Calculate log base 2 of 8:");
print(mUtils.log(2, 8));
print("");
//double isInteger check
print("Is 6.0 an integer?");
print(mUtils.isMathematicalInteger(6.0));
print("");
//Calculate 5!
print("Calculate 5 factorial:");
print(mUtils.factorial(5));
print("");
//Check if 2 is within 3 of 5
print("Is 2 within 3 of 5?");
print(mUtils.fuzzyEquals(2, 5, 3));
print("");
//Check if 7919 is a prime number
print("Is 7919 prime?");
print(mUtils.isPrime(7919));
print("");
//LCM of 2 and 7
print("Calculate LCM of 2 and 7:");
print(mUtils.lcm(2, 7));
print("");
//sinh of 1 radian
print("Calculate sinh of 1 radian:");
print(mUtils.sinh(1));
print("");
//mean of 3 and 7
print("Calculate mean of 3 and 7:");
print(mUtils.mean(3,7));
print("");
//nCr where n = 2 and r = 5
print("Calculate the binomial coefficient of 2 and 5:");
print(mUtils.combinationsOf(2, 5));
print("");
//nPr where n = 2 and r = 5
print("Calculate the permutations of 2 and 5:");
print(mUtils.permutationsOf(2, 5));
print("");
}
Collection Utilities:
import 'package:starfruit/starfruit.dart';
main() {
//Separate List into chunks
print("Separate List into chunks of 4:");
print(cUtils.chunks([1,2,3,4,5,6,7,8], 4));
print("");
//Collapse List<List<Object>> into just List<Object>
print("Collapse List<List> into List:");
print(cUtils.collapse( [[1,2,3],[4,5,6,7,8]] ));
print("");
//Get every nth object of list
print("Get every 4th object:");
print(cUtils.nth([1,2,3,4,5,6,7,8], 4));
print("");
//Get every n random elements of list
print("Get 5 random elements:");
print(cUtils.random([1,2,3,4,5,6,7,8], 5));
print("");
//Flip keys and values of a map
print("Flip keys and values of a map:");
print(cUtils.flip({1:0, 2:8, 3:4, 0:5}));
print("");
//Zip two Lists into a map
print("Zip two lists into a map:");
print(cUtils.zip([1,2,3,4], [5,6,7,8]));
print("");
//Unzip a map into two lists
print("Unzip a map into two lists:");
print(cUtils.unzip({0:1, 8:2, 4:3, 5:0}));
print("");
}
Stats Utilities:
import 'package:starfruit/starfruit.dart';
main() {
var stats = StarStats([1,3,4,5,12,3,4,67,8,0,22]);
//median
print("Calculate the median:");
print(stats.median);
print("");
//mean
print("Calculate the mean:");
print(stats.mean);
print("");
//mode
print("Calculate the mode:");
print(stats.mode);
print("");
//variance
print('Calculate the variance:');
print(stats.variance);
print("");
//standard deviation
print("Calculate the standard deviation:");
print(stats.stdDev);
print("");
//cardinality; number of unique elements
print("Calculate the cardinality:");
print(stats.cardinality);
print("");
//7 greatest elements
print("Return the 7 greatest elements:");
print(stats.topElements(7));
print("");
}
XY (Paired) Stats Utilities:
import 'package:starfruit/starfruit.dart';
main() {
var xystats = StarStatsXY({2:3, 7:4, 4:6, 8:9, 1:2, 3:5, 11:14, 12:18});
//Get correlation coefficient
print("Calculate correlation coefficient:");
print(xystats.corCoefficient);
print("");
//Get linear regression line
print("Calculate linear regression line in form y = mx + b:");
var lr = xystats.linearReg;
print("y = ${lr[0]}x + ${lr[1]}");
print("");
//Get adjusted determination coefficient for linear regression line
print("Calculate adj. determination coefficient for linear regression:");
print(xystats.detCoefficient(1));
print("");
}
Features and bugs #
Please file feature requests and bugs at the issue tracker.