[create-pull-request] automated change (#87)

Co-authored-by: Philipp Matthias Schäfer <[email protected]>

episodes/04_Using_the_package_manager.md

@@ -120,8 +120,8 @@ environment.
 
 ````
 Status `~/projects/trebuchet/Project.toml`
-  [f6369f11] ForwardDiff v0.10.36
-  [295af30f] Revise v3.5.9
+  [f6369f11] ForwardDiff v0.10.38
+  [295af30f] Revise v3.6.2
   [98b73d46] Trebuchet v0.2.2
 
 ````

episodes/05_Write_functions.md

@@ -177,11 +177,24 @@ help?> Trebuchets.shoot
 
 :::::: callout
 
-## Methods
+## Generic functions and methods
 
-Here we see that the `shoot` function has two different _methods_.
-The first one takes three arguments, while the second takes a `Tuple` with
-three elements.
+In the output we see that `shoot` has two different argument signatures: one with
+three arguments and one with a `Tuple` of three elements as its single
+argument. These two signatures correspond to two different implementations.
+In our case one is calling the other.
+
+Functions of the same name with different argument signatures are called
+*methods* of a *generic function* of that name. In our example we have
+two methods of the `shoot` generic function.
+
+Almost all function in Julia are generic functions and in particular all user defined functions. An example with
+particularly many methods is `+`. You can list its methods by executing
+`methods(+)`, for example.
+
+Julia determines which method to apply to a tuple of arguments according
+to set of rules, which are documented in the [Julia Manual’s Methods
+section](https://docs.julialang.org/en/v1/manual/methods/).
 
 ::::::
 
@@ -425,19 +438,6 @@ She can also lookup the docstring using the `@doc` macro
 
   Return a tuple with the size of the buffer.
 
-  size(s::Sampleable)
-
-  The size (i.e. shape) of each sample. Always returns () when s is
-  univariate, and (length(s),) when s is multivariate.
-
-  size(d::MultivariateDistribution)
-
-  Return the sample size of distribution d, i.e (length(d),).
-
-  size(d::MatrixDistribution)
-
-  Return the size of each sample from distribution d.
-
   size(g, i)
 
   Return the number of vertices in g if i=1 or i=2, or 1 otherwise.
@@ -568,10 +568,6 @@ She looks up the documentation for that function
 
   Returns the current value of observable.
 
-  getindex(A::ArrayPartition, i::Int, j...)
-
-  Returns the entry at index j... of the ith partition of A.
-
   getindex(A::ArrayPartition, i::Colon, j...)
 
   Returns the entry at index j... of every partition of A.

episodes/07_Loops.md

@@ -106,8 +106,8 @@ Trebuchet( rand() * 500, rand() * pi/2 )
 
 ````output
 2-element Trebuchet:
- 19.92126761754809
-  1.1758129035479739
+ 353.42697829091327
+   1.5481002998262625
 ````
 
 will give her a Trebuchet with a weight between 0 and 500 and a release angle between 0 and pi/2 radians at random.
@@ -121,9 +121,9 @@ distances = [shoot_distance(Trebuchet(rand() * 500, rand() * pi / 2), env) for _
 
 ````output
 3-element Vector{Float64}:
- 106.68417294212176
- 116.21335516132379
-  73.730294183957
+ 118.13337827163429
+  82.95579691187152
+ 117.13566809575129
 ````
 
 This is called an _array comprehension_.
@@ -138,16 +138,16 @@ distances = [(w,a) => shoot_distance(Trebuchet(w, a), env) for (w, a) in zip(wei
 
 ````output
 10-element Vector{Pair{Tuple{Float64, Float64}, Float64}}:
-     (181.72785884820692, 0.397146829944134) => 101.73108411880898
- (63.630046905466806, 0.0007390075864837765) => 38.578677436450356
-   (381.07768051820875, 0.14798050038431537) => 87.06414198100867
-     (282.3416703597322, 1.1918686477537617) => 69.0089195197084
- (368.30808129827875, 0.0067941316204262366) => 59.34525074762748
-     (344.7882424260206, 0.3851870910679704) => 111.70986370160507
-    (372.4460093501431, 0.06855206373789495) => 72.63633120284015
-     (360.2628661185558, 1.4172206158209621) => 32.342739435405775
-      (43.15599567794415, 0.631090875891836) => 59.136515031317124
-     (483.7790756755326, 0.8497073005978015) => 110.42731071869284
+     (324.2732442832362, 0.71302644795678) => 114.55947796494196
+  (335.37667874032854, 0.6341110514590834) => 116.68767139752573
+ (103.60031609976255, 0.03878975933920561) => 51.650885425681984
+ (482.63166698166805, 0.11246399230891459) => 81.89097177495029
+  (300.6724895776015, 0.25573753399679877) => 97.56213345772589
+   (471.0242182881435, 1.1388331155474132) => 82.73493540156431
+ (253.00933394709475, 0.36203702332969495) => 102.38374906456522
+   (156.7643321929057, 0.5764919513105045) => 103.44235911682252
+   (32.41843752500701, 1.3341566788703363) => 15.176619860993625
+  (53.610542563477026, 1.4033289299752423) => 19.162338180404383
 ````
 
 ### Gradient descent

episodes/10_Adding_tests.md

@@ -55,7 +55,7 @@ end
 ````
 
 ````output
-Test.DefaultTestSet("Test arithmetic equalities", Any[], 1, false, false, true, 1.700042192846853e9, 1.70004219287704e9, false)
+Test.DefaultTestSet("Test arithmetic equalities", Any[], 1, false, false, true, 1.731578522519902e9, 1.731578522550699e9, false)
 ````
 
 With this Melissa can run her test using the pkg mode of the REPL: