From ae41462776e924a589466be59acc96deabe17690 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Bogumi=C5=82=20Kami=C5=84ski?= <bkamins@sgh.waw.pl>
Date: Fri, 14 Oct 2022 12:39:14 +0200
Subject: [PATCH] minor ch 14 exercises fixes

---
 exercises/exercises14.md | 31 +++----------------------------
 1 file changed, 3 insertions(+), 28 deletions(-)

diff --git a/exercises/exercises14.md b/exercises/exercises14.md
index dc9cc7a..0c56fc1 100644
--- a/exercises/exercises14.md
+++ b/exercises/exercises14.md
@@ -15,10 +15,9 @@ average number of items from this set that were drawn at least once.
 Call the function running this simulation `boot`.
 
 <details>
-
 <summary>Solution</summary>
 
-Solution (there are many other approaches you could use):
+There are many other approaches you could use:
 
 ```
 using Statistics
@@ -45,11 +44,8 @@ Make this function single threaded. Check how long
 this function runs for `n=1000` and `k=1_000_000`.
 
 <details>
-
 <summary>Solution</summary>
 
-Solution:
-
 ```
 function simboot(k::Integer, n::Integer)
     result = [boot(n) for _ in 1:k]
@@ -83,11 +79,8 @@ Call the function `simbootT`. Check how long this function runs for `n=1000` and
 `k=1_000_000`.
 
 <details>
-
 <summary>Solution</summary>
 
-Solution:
-
 ```
 using ThreadsX
 
@@ -125,11 +118,8 @@ does not do any allocations internally). Call these new functions `boot!` and
 functions.
 
 <details>
-
 <summary>Solution</summary>
 
-Solution:
-
 ```
 function boot!(n::Integer, pool)
     table = pool[Threads.threadid()]
@@ -180,11 +170,10 @@ use the `@timed` macro in your solution.
 Start the server.
 
 <details>
-
 <summary>Solution</summary>
 
-Solution (I used the simplest single-threaded code here; this is a complete
-code of the web service):
+I used the simplest single-threaded code here; this is a complete
+code of the web service:
 
 ```
 using Genie
@@ -234,11 +223,8 @@ the following parameters:
 * `k=1.5` and `n=1000`
 
 <details>
-
 <summary>Solution</summary>
 
-Solution:
-
 ```
 julia> using HTTP
 
@@ -279,11 +265,8 @@ Collect the data generated by a web service into the `df` data frame for
 `k = [10^i for i in 3:6]` and `n = [10^i for i in 1:3]`.
 
 <details>
-
 <summary>Solution</summary>
 
-Solution:
-
 ```
 using DataFrames
 
@@ -329,11 +312,8 @@ julia> df
 Replace the `value` column in the `df` data frame by its contents in-place.
 
 <details>
-
 <summary>Solution</summary>
 
-Solution:
-
 ```
 julia> select!(df, :status, :time, :value => AsTable)
 12×7 DataFrame
@@ -362,11 +342,8 @@ Checks that execution time roughly scales proportionally to the product
 of `k` times `n`.
 
 <details>
-
 <summary>Solution</summary>
 
-Solution:
-
 ```
 julia> using DataFramesMeta
 
@@ -397,10 +374,8 @@ Plot the expected fraction of seen elements in the set as a function of
 `n` by `k` along with 95% confidence interval around these values.
 
 <details>
-
 <summary>Solution</summary>
 
-Solution:
 ```
 using Plots
 gdf = groupby(df, :k, sort=true)