From db21279a50b3f9509b98ef80cd0a1802a3f2f7fc Mon Sep 17 00:00:00 2001
From: IlianPihlajamaa <73794090+IlianPihlajamaa@users.noreply.github.com>
Date: Sat, 20 Jan 2024 19:38:49 +0100
Subject: [PATCH 1/2] Fix documenter typo's

---
 docs/src/basics/SampledIntegralProblem.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/src/basics/SampledIntegralProblem.md b/docs/src/basics/SampledIntegralProblem.md
index b4520d06..9f92e3f2 100644
--- a/docs/src/basics/SampledIntegralProblem.md
+++ b/docs/src/basics/SampledIntegralProblem.md
@@ -9,7 +9,7 @@ for doing that.
 
 Say, by some means we have generated a dataset `x` and `y`:
 
-```example 1
+```@example 1
 using Integrals # hide
 f = x -> x^2
 x = range(0, 1, length=20)
@@ -18,7 +18,7 @@ y = f.(x)
 
 Now, we can integrate this data set as follows:
 
-```example 1
+```@example 1
 problem = SampledIntegralProblem(y, x)
 method = TrapezoidalRule()
 solve(problem, method)
@@ -37,7 +37,7 @@ non-uniform grids.
 
 Example:
 
-```example 2
+```@example 2
 using Integrals # hide
 f = x -> x^7
 x = [0.0; sort(rand(1000)); 1.0]
@@ -53,7 +53,7 @@ If the provided data set `y` is a multidimensional array, the integrals are eval
 of its axes. For performance reasons, the last axis of the array `y` is chosen by default, but this can be modified with the `dim`
 keyword argument to the problem definition.
 
-```example 3
+```@example 3
 using Integrals # hide
 f1 = x -> x^2
 f2 = x -> x^3

From 6708a0571839866f8f290597671a1e974c96bf2c Mon Sep 17 00:00:00 2001
From: IlianPihlajamaa <73794090+IlianPihlajamaa@users.noreply.github.com>
Date: Sat, 20 Jan 2024 19:42:48 +0100
Subject: [PATCH 2/2] Fix typo in example

---
 src/algorithms.jl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/algorithms.jl b/src/algorithms.jl
index f2c1dfc5..6812bf1c 100644
--- a/src/algorithms.jl
+++ b/src/algorithms.jl
@@ -141,7 +141,7 @@ f = x -> x^2
 x = range(0, 1, length=20)
 y = f.(x)
 problem = SampledIntegralProblem(y, x)
-method = TrapezoidalRul()
+method = TrapezoidalRule()
 solve(problem, method)
 ```
 """