Formatted code

packages/website/docs/Api/Dict.md

@@ -9,49 +9,42 @@ title: Dict
 (dict<a>):string
 ```
 
-
 ### get
 
 ```javascript
 (dict<a>, string):a
 ```
 
-
 ### set
 
 ```javascript
 (dict<a>, string, a):a
 ```
 
-
 ### toPairs
 
 ```javascript
 (dict<a>):list<list<string|a>>
 ```
 
-
 ### keys
 
 ```javascript
 (dict<a>):list<string>
 ```
 
-
 ### values
 
 ```javascript
 (dict<a>):list<a>
 ```
 
-
 ### merge
 
 ```javascript
 (dict<a>, dict<b>):dict<a|b>
 ```
 
-
 ### mergeMany
 
 ```javascript

packages/website/docs/Api/Distribution.md

@@ -2,6 +2,7 @@
 sidebar_position: 2
 title: Distribution
 ---
+
 ## Main
 
 ### mixture
@@ -11,11 +12,13 @@ title: Distribution
 ```
 
 **Examples**
+
 ```javascript
-mixture(normal(5,1), normal(10,1)) 
+mixture(normal(5, 1), normal(10, 1));
 ```
 
 ### sample
+
 Get one random sample from the distribution
 
 ```javascript
@@ -23,11 +26,13 @@ Get one random sample from the distribution
 ```
 
 **Examples**
+
 ```javascript
-sample(normal(5,2))
+sample(normal(5, 2));
 ```
 
 ### sampleN
+
 Get n random samples from the distribution
 
 ```javascript
@@ -35,11 +40,13 @@ Get n random samples from the distribution
 ```
 
 **Examples**
+
 ```javascript
-sample(normal(5,2), 100)
+sample(normal(5, 2), 100);
 ```
 
 ### mean
+
 Get the distribution mean
 
 ```javascript
@@ -47,8 +54,9 @@ Get the distribution mean
 ```
 
 **Examples**
+
 ```javascript
-mean(normal(5,2))
+mean(normal(5, 2));
 ```
 
 ### stdev
@@ -57,21 +65,18 @@ mean(normal(5,2))
 (distribution):number
 ```
 
-
 ### variance
 
 ```javascript
 (distribution):number
 ```
 
-
 ### mode
 
 ```javascript
 (distribution):number
 ```
 
-
 ### cdf
 
 ```javascript
@@ -79,8 +84,9 @@ mean(normal(5,2))
 ```
 
 **Examples**
+
 ```javascript
-cdf(normal(5,2), 3)
+cdf(normal(5, 2), 3);
 ```
 
 ### pdf
@@ -90,8 +96,9 @@ cdf(normal(5,2), 3)
 ```
 
 **Examples**
+
 ```javascript
-pdf(normal(5,2), 3)
+pdf(normal(5, 2), 3);
 ```
 
 ### pmf
@@ -101,8 +108,9 @@ pdf(normal(5,2), 3)
 ```
 
 **Examples**
+
 ```javascript
-pmf(bernoulli(0.3), 0) // 0.7
+pmf(bernoulli(0.3), 0); // 0.7
 ```
 
 ### inv
@@ -112,11 +120,13 @@ pmf(bernoulli(0.3), 0) // 0.7
 ```
 
 **Examples**
+
 ```javascript
-inv(normal(5,2), 0.5)
+inv(normal(5, 2), 0.5);
 ```
 
 ### toPointSet
+
 Converts a distribution to the pointSet format
 
 ```javascript
@@ -124,11 +134,13 @@ Converts a distribution to the pointSet format
 ```
 
 **Examples**
+
 ```javascript
-toPointSet(normal(5,2))
+toPointSet(normal(5, 2));
 ```
 
 ### toSampleSet
+
 Converts a distribution to the sampleSet format, with n samples
 
 ```javascript
@@ -136,11 +148,13 @@ Converts a distribution to the sampleSet format, with n samples
 ```
 
 **Examples**
+
 ```javascript
-toSampleSet(normal(5,2))
+toSampleSet(normal(5, 2));
 ```
 
 ### truncateLeft
+
 Truncates the left side of a distribution. Returns either a pointSet distribution or a symbolic distribution.
 
 ```javascript
@@ -148,11 +162,13 @@ Truncates the left side of a distribution. Returns either a pointSet distributio
 ```
 
 **Examples**
+
 ```javascript
-truncateLeft(normal(5,2), 3)
+truncateLeft(normal(5, 2), 3);
 ```
 
 ### truncateRight
+
 Truncates the right side of a distribution. Returns either a pointSet distribution or a symbolic distribution.
 
 ```javascript
@@ -160,11 +176,13 @@ Truncates the right side of a distribution. Returns either a pointSet distributi
 ```
 
 **Examples**
+
 ```javascript
-truncateLeft(normal(5,2), 6)
+truncateLeft(normal(5, 2), 6);
 ```
 
 ### klDivergence
+
 Kullback–Leibler divergence between two distributions
 
 ```javascript
@@ -172,8 +190,9 @@ Kullback–Leibler divergence between two distributions
 ```
 
 **Examples**
+
 ```javascript
-klDivergence(normal(5,2), normal(5,4)) // returns 0.57
+klDivergence(normal(5, 2), normal(5, 4)); // returns 0.57
 ```
 
 ### logScore
@@ -183,8 +202,9 @@ klDivergence(normal(5,2), normal(5,4)) // returns 0.57
 ```
 
 **Examples**
+
 ```javascript
-logScore({estimate: normal(5,2), prior: normal(5.5,4), answer: 2.3})
+logScore({ estimate: normal(5, 2), prior: normal(5.5, 4), answer: 2.3 });
 ```
 
 ### toString
@@ -194,11 +214,13 @@ logScore({estimate: normal(5,2), prior: normal(5.5,4), answer: 2.3})
 ```
 
 **Examples**
+
 ```javascript
-toString(normal(5,2))
+toString(normal(5, 2));
 ```
 
 ### toSparkline
+
 Produce a sparkline of length n
 
 ```javascript
@@ -206,11 +228,13 @@ Produce a sparkline of length n
 ```
 
 **Examples**
+
 ```javascript
-toSparkline(normal(5,2), 10)
+toSparkline(normal(5, 2), 10);
 ```
 
 ### inspect
+
 Prints the value of the distribution to the Javascript console, then returns the distribution.
 
 ```javascript
@@ -218,11 +242,13 @@ Prints the value of the distribution to the Javascript console, then returns the
 ```
 
 **Examples**
+
 ```javascript
-inspect(normal(5,2))
+inspect(normal(5, 2));
 ```
 
 ### normalize
+
 Normalize a distribution. This means scaling it appropriately so that it's cumulative sum is equal to 1.
 
 ```javascript
@@ -230,11 +256,13 @@ Normalize a distribution. This means scaling it appropriately so that it's cumul
 ```
 
 **Examples**
+
 ```javascript
-normalize(normal(5,2))
+normalize(normal(5, 2));
 ```
 
 ### isNormalized
+
 Check of a distribution is normalized. Most distributions are typically normalized, but there are some commands that could produce non-normalized distributions.
 
 ```javascript
@@ -242,11 +270,13 @@ Check of a distribution is normalized. Most distributions are typically normaliz
 ```
 
 **Examples**
+
 ```javascript
-isNormalized(normal(5,2)) // returns true
+isNormalized(normal(5, 2)); // returns true
 ```
 
 ### integralSum
+
 Get the sum of the integral of a distribution. If the distribution is normalized, this will be 1.
 
 ```javascript
@@ -254,8 +284,9 @@ Get the sum of the integral of a distribution. If the distribution is normalized
 ```
 
 **Examples**
+
 ```javascript
-integralSum(normal(5,2))
+integralSum(normal(5, 2));
 ```
 
 ### add
@@ -264,171 +295,146 @@ integralSum(normal(5,2))
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### sum
 
 ```javascript
 (list<distributionLike>): distribution
 ```
 
-
 ### multiply
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### product
 
 ```javascript
 (list<distributionLike>): distribution
 ```
 
-
 ### subtract
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### divide
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### pow
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### exp
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### log
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### log10
 
 ```javascript
 (distributionLike, distributionLike):distribution
 ```
 
-
 ### unaryMinus
 
 ```javascript
 (distribution):distribution
 ```
 
-
 ### dotAdd
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### dotSum
 
 ```javascript
 (list<distributionLike>): distribution
 ```
 
-
 ### dotMultiply
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### dotProduct
 
 ```javascript
 (list<distributionLike>): distribution
 ```
 
-
 ### dotSubtract
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### dotDivide
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### dotPow
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### dotExp
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### scaleMultiply
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### scalePow
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### scaleExp
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### scaleLog
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### scaleLog10
 
 ```javascript
 (distributionLike, distributionLike): distribution
 ```
 
-
 ### scaleLogWithThreshold
 
 ```javascript
 (distributionLike, distributionLike, number): distribution
 ```
-

packages/website/docs/Api/DistributionCreation.md

@@ -6,114 +6,135 @@ title: Distribution Creation
 ## Normal Distribution
 
 **Definitions**
+
 ```javascript
-normal(frValueDistOrNumber, frValueDistOrNumber)
+normal(frValueDistOrNumber, frValueDistOrNumber);
 ```
+
 ```javascript
 normal(dict<{p5: frValueDistOrNumber, p95: frValueDistOrNumber}>)
 ```
+
 ```javascript
 normal(dict<{mean: frValueDistOrNumber, stdev: frValueDistOrNumber}>)
 ```
 
 **Examples**
+
 ```javascript
-normal(5,1)
+normal(5, 1);
-normal({p5: 4, p95: 10})
+normal({ p5: 4, p95: 10 });
-normal({mean: 5, stdev: 2})
+normal({ mean: 5, stdev: 2 });
 ```
 
 ## Lognormal Distribution
 
 **Definitions**
+
 ```javascript
-lognormal(frValueDistOrNumber, frValueDistOrNumber)
+lognormal(frValueDistOrNumber, frValueDistOrNumber);
 ```
+
 ```javascript
 lognormal(dict<{p5: frValueDistOrNumber, p95: frValueDistOrNumber}>)
 ```
+
 ```javascript
 lognormal(dict<{mean: frValueDistOrNumber, stdev: frValueDistOrNumber}>)
 ```
 
 **Examples**
+
 ```javascript
-lognormal(0.5, 0.8)
+lognormal(0.5, 0.8);
-lognormal({p5: 4, p95: 10})
+lognormal({ p5: 4, p95: 10 });
-lognormal({mean: 5, stdev: 2})
+lognormal({ mean: 5, stdev: 2 });
 ```
 
 ## Uniform Distribution
 
 **Definitions**
+
 ```javascript
-uniform(frValueDistOrNumber, frValueDistOrNumber)
+uniform(frValueDistOrNumber, frValueDistOrNumber);
 ```
 
 **Examples**
+
 ```javascript
-uniform(10, 12)
+uniform(10, 12);
 ```
 
 ## Beta Distribution
 
 **Definitions**
+
 ```javascript
-beta(frValueDistOrNumber, frValueDistOrNumber)
+beta(frValueDistOrNumber, frValueDistOrNumber);
 ```
 
 **Examples**
+
 ```javascript
-beta(20, 25)
+beta(20, 25);
 ```
 
 ## Cauchy Distribution
 
 **Definitions**
+
 ```javascript
-cauchy(frValueDistOrNumber, frValueDistOrNumber)
+cauchy(frValueDistOrNumber, frValueDistOrNumber);
 ```
 
 **Examples**
+
 ```javascript
-cauchy(5, 1)
+cauchy(5, 1);
 ```
 
 ## Gamma Distribution
 
 **Definitions**
+
 ```javascript
-gamma(frValueDistOrNumber, frValueDistOrNumber)
+gamma(frValueDistOrNumber, frValueDistOrNumber);
 ```
 
 **Examples**
+
 ```javascript
-gamma(5, 1)
+gamma(5, 1);
 ```
 
 ## Logistic Distribution
 
 **Definitions**
+
 ```javascript
-logistic(frValueDistOrNumber, frValueDistOrNumber)
+logistic(frValueDistOrNumber, frValueDistOrNumber);
 ```
 
 **Examples**
+
 ```javascript
-gamma(5, 1)
+gamma(5, 1);
 ```
 
 ## To (Distribution)
 
 **Definitions**
+
 ```javascript
-to(frValueDistOrNumber, frValueDistOrNumber)
+to(frValueDistOrNumber, frValueDistOrNumber);
 ```
+
 ```javascript
-credibleIntervalToDistribution(frValueDistOrNumber, frValueDistOrNumber)
+credibleIntervalToDistribution(frValueDistOrNumber, frValueDistOrNumber);
 ```
 
 **Examples**
+
 ```javascript
 5 to 10
 to(5,10)
@@ -123,72 +144,85 @@ to(5,10)
 ## Exponential
 
 **Definitions**
+
 ```javascript
-exponential(frValueDistOrNumber)
+exponential(frValueDistOrNumber);
 ```
 
 **Examples**
+
 ```javascript
-exponential(2)
+exponential(2);
 ```
 
 ## Bernoulli
 
 **Definitions**
+
 ```javascript
-bernoulli(frValueDistOrNumber)
+bernoulli(frValueDistOrNumber);
 ```
 
 **Examples**
+
 ```javascript
-bernoulli(0.5)
+bernoulli(0.5);
 ```
 
 ## toContinuousPointSet
+
 Converts a set of points to a continuous distribution
 
 **Definitions**
+
 ```javascript
 toContinuousPointSet(array<dict<{x: numeric, y: numeric}>>)
 ```
 
 **Examples**
+
 ```javascript
 toContinuousPointSet([
   { x: 0, y: 0.1 },
   { x: 1, y: 0.2 },
   { x: 2, y: 0.15 },
-  {x:3, y: 0.1}
+  { x: 3, y: 0.1 },
-])
+]);
 ```
 
 ## toDiscretePointSet
+
 Converts a set of points to a discrete distribution
 
 **Definitions**
+
 ```javascript
 toDiscretePointSet(array<dict<{x: numeric, y: numeric}>>)
 ```
 
 **Examples**
+
 ```javascript
 toDiscretePointSet([
   { x: 0, y: 0.1 },
   { x: 1, y: 0.2 },
   { x: 2, y: 0.15 },
-  {x:3, y: 0.1}
+  { x: 3, y: 0.1 },
-])
+]);
 ```
 
 ## Declaration (Continuous Function)
+
 Adds metadata to a function of the input ranges. Works now for numeric and date inputs. This is useful when making predictions. It allows you to limit the domain that your prediction will be used and scored within.
 
 **Definitions**
+
 ```javascript
 declareFn(dict<{fn: lambda, inputs: array<dict<{min: number, max: number}>>}>)
 ```
 
 **Examples**
+
 ```javascript
 declareFn({
   fn: {|a,b| a },

packages/website/docs/Api/Duration.md

@@ -9,84 +9,72 @@ title: Duration
 (duration):string
 ```
 
-
 ### minutes
 
 ```javascript
 (number):duration
 ```
 
-
 ### hours
 
 ```javascript
 (number):duration
 ```
 
-
 ### days
 
 ```javascript
 (number):duration
 ```
 
-
 ### years
 
 ```javascript
 (number):duration
 ```
 
-
 ### toHours
 
 ```javascript
 (duration):number
 ```
 
-
 ### toMinutes
 
 ```javascript
 (duration):number
 ```
 
-
 ### toDays
 
 ```javascript
 (duration):number
 ```
 
-
 ### toYears
 
 ```javascript
 (duration):number
 ```
 
-
 ### add
 
 ```javascript
 (duration, duration):duration
 ```
 
-
 ### subtract
 
 ```javascript
 (duration, duration):duration
 ```
 
-
 ### multiply
 
 ```javascript
 (duration, duration):duration
 ```
 
-
 ### divide
 
 ```javascript

packages/website/docs/Api/List.md

@@ -9,175 +9,150 @@ title: List
 (list<'a>):string
 ```
 
-
 ### length
 
 ```javascript
 (list<'a>):number
 ```
 
-
 ### get
 
 ```javascript
 (list<a>, number):a
 ```
 
-
 ### find
 
 ```javascript
 (list<a>, e => bool):a
 ```
 
-
 ### filter
 
 ```javascript
 (list<a>, e => bool):a
 ```
 
-
 ### set
 
 ```javascript
 (list<a>, number, a):a
 ```
 
-
 ### shuffle
 
 ```javascript
 (list<a>):list<a>
 ```
 
-
 ### reverse
 
 ```javascript
 (list<a>):list<a>
 ```
 
-
 ### make
 
 ```javascript
 (number,a):list<a> (number, (index:number => a)):list<a> (pointSetDist):list<number>
 ```
 
-
 ### range
 
 ```javascript
 (low:number, high:number) => list<number>
 ```
 
-
 ### rangeBy
 
 ```javascript
 (low:number, high:number, increment: number) => list<number>
 ```
 
-
 ### zip
 
 ```javascript
 (list<a>, list<b>):list<list<a|b>>
 ```
 
-
 ### unzip
 
 ```javascript
 (list<list<a|b>>):list<list<a>, list<b>>
 ```
 
-
 ### concat
 
 ```javascript
 (list<a>, list<b>): list<a|b>
 ```
 
-
 ### concatMany
 
 ```javascript
 (list<list<a>>):list<a>
 ```
 
-
 ### slice
 
 ```javascript
 
 ```
 
-
 ### map
 
 ```javascript
 (list<a>, (a -> b)): list<b>
 ```
 
-
 ### reduce
 
 ```javascript
 
 ```
 
-
 ### reduceRight
 
 ```javascript
 
 ```
 
-
 ### includes
 
 ```javascript
 (list<'a>, 'a => bool):boolean
 ```
 
-
 ### every
 
 ```javascript
 (list<'a>, 'a => bool):boolean
 ```
 
-
 ### truncate
 
 ```javascript
 (list<'a>, number):list<'a>
 ```
 
-
 ### uniq
 
 ```javascript
 (list<'a>):list
 ```
 
-
 ### first
 
 ```javascript
 (list<'a>):'a
 ```
 
-
 ### last
 
 ```javascript
 (list<'a>):'a
 ```
 
-
 ### sort
 
 ```javascript

packages/website/docs/Api/Math.md

@@ -4,87 +4,87 @@ title: Math
 ---
 
 ### E
+
 Euler's number; ≈ 2.718281828459045
 
 ```javascript
-number
+number;
 ```
 
-
 ### LN2
+
 Natural logarithm of 2; ≈ 0.6931471805599453
 
 ```javascript
-number
+number;
 ```
 
-
 ### LN10
+
 Natural logarithm of 10; ≈ 2.302585092994046
 
 ```javascript
-number
+number;
 ```
 
-
 ### LOG2E
+
 Base 2 logarithm of E; ≈ 1.4426950408889634
 
 ```javascript
-number
+number;
 ```
 
-
 ### LOG10E
+
 Base 10 logarithm of E; ≈ 0.4342944819032518
 
 ```javascript
-number
+number;
 ```
 
-
 ### PI
+
 Pi - ratio of the circumference to the diameter of a circle; ≈ 3.141592653589793
 
 ```javascript
-number
+number;
 ```
 
-
 ### SQRT1_2
+
 Square root of 1/2; ≈ 0.7071067811865476
 
 ```javascript
-number
+number;
 ```
 
-
 ### SQRT2
+
 Square root of 2; ≈ 1.4142135623730951
 
 ```javascript
-number
+number;
 ```
 
-
 ### PHI
+
 Phi is the golden ratio. 1.618033988749895
 
 ```javascript
-number
+number;
 ```
 
-
 ### TAU
-Tau is the ratio constant of a circle's circumference to radius, equal to 2 * pi. 6.283185307179586
+
+Tau is the ratio constant of a circle's circumference to radius, equal to 2 \* pi. 6.283185307179586
 
 ```javascript
-number
+number;
 ```
 
-
 ### Infinity
 
 ```javascript
-number
+number;
 ```

packages/website/docs/Api/Number.md

@@ -3,189 +3,162 @@ sidebar_position: 6
 title: Number
 ---
 
-
 ### ceil
 
 ```javascript
 (number): number
 ```
 
-
 ### floor
 
 ```javascript
 (number): number
 ```
 
-
 ### abs
 
 ```javascript
 (number): number
 ```
 
-
 ### round
 
 ```javascript
 (number): number
 ```
 
-
 ### max
 
 ```javascript
 (list<number>): number
 ```
 
-
 ### maxBy
 
 ```javascript
 (list<number>, fn(element)):number
 ```
 
-
 ### min
 
 ```javascript
 (list<number>): number
 ```
 
-
 ### minBy
 
 ```javascript
 (list<number>, fn(element)):number
 ```
 
-
 ### random
 
 ```javascript
-number
+number;
 ```
 
-
 ### randomInt
 
 ```javascript
-number
+number;
 ```
 
-
 ### mean
 
 ```javascript
 (list<number>): number
 ```
 
-
 ### median
 
 ```javascript
 (list<number>): number
 ```
 
-
 ### mode
 
 ```javascript
 (list<number>): number
 ```
 
-
 ### std
 
 ```javascript
 (list<number>): number
 ```
 
-
 ### variance
 
 ```javascript
 (list<number>): number
 ```
 
-
 ### unaryMinus
 
 ```javascript
 (number): number
 ```
 
-
 ### equal
 
 ```javascript
 (number, number): boolean
 ```
 
-
 ### add
 
 ```javascript
 (number, number): number
 ```
 
-
 ### sum
 
 ```javascript
 (number, number): number
 ```
 
-
 ### multiply
 
 ```javascript
 (number, number): number
 ```
 
-
 ### product
 
 ```javascript
 (number, number): number
 ```
 
-
 ### subtract
 
 ```javascript
 (number, number): number
 ```
 
-
 ### divide
 
 ```javascript
 (number, number): number
 ```
 
-
 ### pow
 
 ```javascript
 (number, number): number
 ```
 
-
 ### exp
 
 ```javascript
 (number): number
 ```
 
-
 ### log
 
 ```javascript
 (number, number=Math.e): number
 ```
 
-
 ### log10
 
 ```javascript

packages/website/docs/Api/PointSetDist.md

@@ -9,14 +9,12 @@ title: Point Set Distribution
 (list<{x: number, y: number}>): pointSetDist
 ```
 
-
 ### makeDiscrete
 
 ```javascript
 (list<{x: number, y: number}>): pointSetDist
 ```
 
-
 ### map
 
 ```javascript

packages/website/docs/Api/SampleSetDist.md

@@ -4,6 +4,7 @@ title: Sample Set Distribution
 ---
 
 ### toInternalSampleArray
+
 Gets the internal samples of a sampleSet distribution. This is separate from the sampleN() function, which would shuffle the samples. toInternalSampleArray() maintains order and length.
 
 ```javascript
@@ -11,8 +12,9 @@ Gets the internal samples of a sampleSet distribution. This is separate from the
 ```
 
 **Examples**
+
 ```javascript
-toInternalSampleArray(toSampleSet(normal(5,2)))
+toInternalSampleArray(toSampleSet(normal(5, 2)));
 ```
 
 ### kde
@@ -21,35 +23,30 @@ toInternalSampleArray(toSampleSet(normal(5,2)))
 (sampleSet):pointSetDist
 ```
 
-
 ### toEmpiricalPdf
 
 ```javascript
 (sampleSet):pointSetDist
 ```
 
-
 ### map
 
 ```javascript
 (sampleSet, (r => number)): sampleSet
 ```
 
-
 ### map2
 
 ```javascript
 (sampleSet, sampleSet, ((d1, d2)=>number)): sampleSet
 ```
 
-
 ### map3
 
 ```javascript
 (sampleSet, sampleSet, sampleSet, ((d1, d2, d3)=>number)): sampleSet
 ```
 
-
 ### make
 
 ```javascript