Cleanup to documentation, changes to distribution colors

packages/components/src/spec-distributions.json

@@ -84,7 +84,8 @@
           "y": { "scale": "yscale", "field": "y" },
           "y2": { "scale": "yscale", "value": 0 },
           "fill": {
-            "signal": "{gradient: 'linear', x1: 1, y1: 1, x2: 0, y2: 1, stops: [ {offset: 0.0, color: 'steelblue'}, {offset: clamp(mousex, 0, 1), color: 'steelblue'}, {offset: clamp(mousex, 0, 1), color: 'blue'}, {offset: 1.0, color: 'blue'} ] }"
+            "signal": "{gradient: 'linear', x1: 1, y1: 1, x2: 0, y2: 1, stops: [ {offset: 0.0, color: '#11ac8f'}, {offset: clamp(mousex, 0, 1), color: '#11ac8f'}, {offset: clamp(mousex, 0, 1), color: '#1b6fac'}, {offset: 1.0, color: '#1b6fac'} ] }",
+            "color": "#000"
           },
           "interpolate": { "value": "monotone" },
           "fillOpacity": { "value": 1 }

packages/squiggle-lang/README.md

@@ -81,3 +81,9 @@ complicated, as it has to return either a number, or a distribution, or even
 a representation of a function of distributions. Currently the export is simply
 the generated type that rescript creates, and can be quite confusing. We therefore
 highly recommend the use of typescript when creating tests or using this package.
+
+## Potential Issues
+If you experiment with generating different types of .gen.ts files and similar, note that they won't be caught by git (because they are in .gitignore). Make sure you delete these extra files, once they are unecessary.
+```
+    rm src/rescript/**/*.gen.ts
+```

packages/squiggle-lang/package.json

@@ -9,7 +9,7 @@
     "clean": "rescript clean",
     "test": "jest",
     "test:watch": "jest --watchAll",
-    "all": "yarn build && yarn bundle && yarn test"
+    "all": "yarn build && yarn bundle && yarn test",
   },
   "keywords": [
     "Rescript"

packages/website/babel.config.js

@@ -2,6 +2,5 @@ module.exports = {
   presets: [
     require.resolve('@docusaurus/core/lib/babel/preset'),
     ["@babel/preset-react", { "runtime": "automatic" }]
-
   ],
 };

packages/website/docs/Functions.mdx

@@ -13,14 +13,14 @@ import { SquiggleEditor } from '../src/components/SquiggleEditor'
 The `normal(mean, sd)` function creates a normal distribution with the given mean
 and standard deviation.
 
-<SquiggleEditor initialSquiggleString="normal(0, 1)" />
+<SquiggleEditor initialSquiggleString="normal(5, 1)" />
 
 ### Uniform distribution
 
 The `uniform(low, high)` function creates a uniform distribution between the
-two given numbers:
+two given numbers.
 
-<SquiggleEditor initialSquiggleString="uniform(0, 10)" />
+<SquiggleEditor initialSquiggleString="uniform(3, 7)" />
 
 
 ### Lognormal distribution
@@ -29,18 +29,18 @@ The `lognormal(mu, sigma)` returns the log of a normal distribution with paramet
 mu and sigma. The log of lognormal(mu, sigma) is a normal distribution with parameters
 mean mu and standard deviation sigma.
 
-<SquiggleEditor initialSquiggleString="lognormal(0, 1)" />
+<SquiggleEditor initialSquiggleString="lognormal(0, 0.7)" />
 
 An alternative format is also available. The "to" notation creates a lognormal
 distribution with a 90% confidence interval between the two numbers. We add
-this convinience as lognormal distributions are commonly used in practice
+this convinience as lognormal distributions are commonly used in practice.
 
 <SquiggleEditor initialSquiggleString="2 to 10" />
 
 Furthermore, it's also possible to create a lognormal from it's actual mean
-and standard deviation, using `lognormalFromMeanAndStdDev`:
+and standard deviation, using `lognormalFromMeanAndStdDev`.
 
-<SquiggleEditor initialSquiggleString="lognormalFromMeanAndStdDev(20, 20)" />
+<SquiggleEditor initialSquiggleString="lognormalFromMeanAndStdDev(20, 10)" />
 
 
 ### Beta distribution
@@ -60,7 +60,7 @@ mean.
 ### The Triangular distribution
 
 The `triangular(a,b,c)` function creates a triangular distribution with lower
-bound a, mode b and upper bound c:
+bound a, mode b and upper bound c.
 
 <SquiggleEditor initialSquiggleString="triangular(1, 2, 4)" />
 
@@ -73,43 +73,42 @@ combination.
 
 <SquiggleEditor initialSquiggleString="mm(uniform(0,1), normal(1,1), [0.5, 0.5])" />
 
-It's possible to create discrete distributions using this method:
+It's possible to create discrete distributions using this method.
 
 <SquiggleEditor initialSquiggleString="mm(0, 1, [0.2,0.8])" />
 
 As well as mixed distributions:
 
-<SquiggleEditor initialSquiggleString="mm(0, 1 to 10, [0.2,0.8])" />
+<SquiggleEditor initialSquiggleString="mm(3, 8, 1 to 10, [0.2, 0.3, 0.5])" />
 
 ## Other Functions
 
 ### PDF of a distribution
 The `pdf(distribution, x)` function returns the density of a distribution at the
-given point x:
-
+given point x.
 
 <SquiggleEditor initialSquiggleString="pdf(normal(0,1),0)" />
 
 ### Inverse of a distribution
 
 The `inv(distribution, prob)` gives the value x or which the probability for all values
-lower than x is equal to prob. It is the inverse of `cdf`
+lower than x is equal to prob. It is the inverse of `cdf`.
 
 <SquiggleEditor initialSquiggleString="inv(normal(0,1),0.5)" />
 
 ### CDF of a distribution
 
 The `cdf(distribution,x)` gives the cumulative probability of the distribution
-or all values lower than x. It is the inverse of `inv`:
+or all values lower than x. It is the inverse of `inv`.
 
 <SquiggleEditor initialSquiggleString="cdf(normal(0,1),0)" />
 
 ### Mean of a distribution
-The `mean(distribution)` function gives the mean (expected value) of a distribution:
+The `mean(distribution)` function gives the mean (expected value) of a distribution.
 
 <SquiggleEditor initialSquiggleString="mean(normal(5, 10))" />
 
 ### Sampling a distribution
-The `sample(distribution)` samples a given distribution:
+The `sample(distribution)` samples a given distribution.
 
 <SquiggleEditor initialSquiggleString="sample(normal(0, 10))" />

packages/website/docs/Future-Features.md

@@ -77,33 +77,33 @@ Right now, Monte Carlo simulations are totally random. It would be nicer to be a
 - Possibly a decent web GUI (a much more advanced playground).
 - A VS Code extention and similar.
 
-## Fixes
+## Bugs
 - Discrete distributions are particularly buggy. Try ``mm(1,2,3,4,5,6,7,8,9,10) .* (5 to 8)``
 
 ## New Functions
 
 ### Distributions
-```
-cauchy() //todo
-pareto() //todo
-metalog() //todo
+```js
+cauchy()
+pareto()
+metalog()
 ```
 
 Possibly change mm to mix, or mx(). Also, change input format, maybe to mx([a,b,c], [a,b,c]).
 
 
 ### Functions
-```
-samples(distribution, n) //todo
-toPdf(distribution) //todo
-toCdf(distribution) //todo
-toHash(distribution) //todo. Make hash of content, like, {xs:[], ys:[]}
-trunctate(distribution, leftValue, rightValue) //todo
-leftTrunctate(distribution, leftValue) //todo
-rightTrunctate(distribution, rightValue) //todo
-distributionFromSamples(array, params) //todo
-distributionFromPoints() //todo
-distributionFromHash() //todo
+```js
+samples(distribution, n)
+toPdf(distribution)
+toCdf(distribution)
+toHash(distribution)
+trunctate(distribution, leftValue, rightValue)
+leftTrunctate(distribution, leftValue)
+rightTrunctate(distribution, rightValue)
+distributionFromSamples(array, params)
+distributionFromPoints()
+distributionFromHash()
 ```
 
 

packages/website/docs/Language.mdx

@@ -6,7 +6,7 @@ import { SquiggleEditor } from '../src/components/SquiggleEditor'
 
 # Squiggle Language
 
-The squiggle language has a very simply syntax. The best way to get to understand
+The squiggle language has a very simple syntax. The best way to get to understand
 it is by simply looking at examples.
 
 ## Basic Language