FPIC Archive 4: Structured Data
{:deps {org.clojure/clojure {:mvn/version "1.10.1"}
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;; add your libs here (and restart the runtime to pick up changes)
compliment/compliment {:mvn/version "0.3.9"}}}
{:hello (clojure-version)}
Hint
The following web pages are good references to Clojure builtins and data structures:
Fork this
https://github.com/iloveponies/structured-data
Here are the instructions if you need them. Be sure to fork the repository behind the link above.
Let there be names
We often want to give a piece of data name, either because the act of naming gives clarity to the code, or because we want to refer to the data many times. As we have seen, namespace global names are declared with def
. A function or value that is needed only inside one function can be given a local name with let
.
As an example, let’s define a function for calculating the length of a triangle’s hypotenuse, given the length of its two legs:
(
defn
hypotenuse [x y] (
let
[xx (
*
x x) yy (
*
y y)] (Math/sqrt (
+
xx yy))))
Here we give the expressions (* x x)
and (* y y)
the local names xx
and yy
, respectively. They are visible only inside hypotenuse
.
let
introduces one or more names and a scope for them:
(
let
[name1 value1 name2 value2 ...] (expression1) (expression2) ...)
The names introduced by let
are visible in all the expressions after them, under let
. A name is not visible to code outside the body of the let
it is defined in.
user=> (
let
[x 42] (
+
x x))
;=> 84
user=> x CompilerException java.lang.RuntimeException: Unable to
resolve
symbol: x in this context, compiling:(NO_SOURCE_PATH
:0
)
Note the indentation in let
: the names inside the brackets are all aligned together, and the expressions are indented with two spaces.
(
let
[x 42] (indented x))
Exercise 1
The following function does a thing:
(
defn
do-a-thing [x] (Math/pow (
+
x x) (
+
x x)))
Change the function do-a-thing
so that it uses let
to give a name to the common expression (+ x x)
in its body.
The names declared in a let
expression can refer to previous names in the same expression:
(
let
[a 10 b (
+
a 8)] (
+
a b))
;=> 28
In the example above, b
can refer to a
because a
is declared before it. On the other hand, a
can not refer to b:
(
let
[a (
+
b 42) b 8] (
+
a b))
; CompilerException java.lang.RuntimeException: Unable to resolve symbol:
; b in this context, compiling:(NO_SOURCE_PATH:1)
Simple values
Now that we know how to give names to values, let’s look at what kind of values Clojure supports.
Scalar values are the regular, singular simple values like 42
, "foo"
or true
. The following table describes some of them.
TypeExamplesDescriptionNumbers42
, 3/2
, 2.1
Numbers include integers, fractions, and floats.Strings"foo"
Text values.Characters\x
, \y
, \√
A single characer is written with a preceding \
.Keywords:foo
, :?
Values often used as map keys.Booleanstrue
, false
Boolean values.
Vectors
Collections are the other kind of values, in addition to scalars, that are crucial to programming. Clojure has support for a rich set of collection data structures. We’ll go over the most important structures in this chapter.
A vector is a collection that can be indexed with integers, like an array in other languages. It can contain values of different types.
[1 2 3]
;=> [1 2 3]
[
:foo
42 "bar" (
+
2 3)]
;=> [:foo 42 "bar" 5]
A vector is written with surrounding brackets, []
, and the elements are written inside, separated by whitespace and optionally commas (,
).
Vectors are indexed with the get
function:
(
get
["a" "b" "c"] 1)
;=> "b"
(
get
["a" "b" "c"] 15)
;=> nil
(
get
["x"] 0)
;=> "x"
Trying to index a vector beyond its size does not throw an exception. The special value nil
is returned, instead.
Exercise 2
Write the function (spiff v)
that takes a vector and returns the sum of the first and third elements of the vector. What happens when you pass in a vector that is too short?
(spiff [1 2 3])
;=> 4
(spiff [1 2 3 4 5 6])
;=> 4
(spiff [1 2])
;=> ?
(spiff [])
;=> ?
Basic vector operations
Vectors are immutable: once you have a vector, you can not change it. You can, however, easily create new vectors based on a vector:
(
conj
[1 2 3] 4)
;=> [1 2 3 4]
(
assoc
[1 2 3 4] 2 "foo")
;=> [1 2 "foo" 4]
conj
adds a value to a collection. Its behaviour depends on the type of collection: with vectors, it adds the value to the end of the vector. To be exact, conj
does not change the given vector. Instead, it returns a new vector, based on the given vector, with the new element appended to the end.
Exercise 3
Write the function (cutify v)
that takes a vector as a parameter and adds "<3"
to its end.
(cutify []) => ["<3"] (cutify [1 2 3]) => [1 2 3 "<3"] (cutify ["a" "b"]) => ["a" "b" "<3"]
Vectors: A Postmodern Deconstruction
Another way of extracting values from a vector is by destructuring it:
(
let
[[x y z] [1 2 3 4 5 6]] (
str
x y z))
;=> "123"
Here, instead of giving a name to the vector [1 2 3 4 5 6]
, we indicate with the brackets in [x y z]
that we want to destructure the vector instead. Inside the brackets, we give names to the first three elements of the vector. x
will be given the value of the first element, 1
; b
will be 2
and c
will be 3
. The concatenation of these values that str
returns is "123"
.
Exercise 4
Rewrite our earlier function spiff
by destructuring its parameter. Call this new function spiff-destructuring
.
You can destructure function parameters directly. For an example, take the following function:
(
defn
sum-pairs [first-pair second-pair] [(
+
(
first
first-pair) (
first
second-pair)) (
+
(
second
first-pair) (
second
second-pair))])
The function takes two vectors and sums the elements pairwise:
(sum-pairs [42 5] [-42 -5])
;=> [0 0]
(sum-pairs [64 256] [-51 -219])
;=> [13 37]
sum-pair
is not very pretty to look at. We can spiff it up by taking out the elements of its parameter vectors by destructuring them:
(
defn
sum-pairs [[x1 y1] [x2 y2]] [(
+
x1 x2) (
+
y1 y2)])
sum-pairs
still takes two parameter vectors, but now it does not give names to its parameters. Instead, it gives names to their first two elements by destructuring the parameters. We could have also destructured the parameters with a let
.
Thinking With Boxes
Let’s define a simple representation for a two-dimensional point. It will simply be a pair (2-element vector) of two numbers.
(
defn
point [x y] [x y])
And a representation for a rectangle. This will simply be a pair of points, the first being the bottom left corner and the second being the top left corner.
(
defn
rectangle [bottom-left top-right] [bottom-left top-right])
When you have nested structures where you know their structure in advance, you can destructure multiple levels at a time.
(
let
[[[x1 y1] [x2 y2]] rectangle] ...
do
stuff with coordinates)
This should prove to be useful in the following exercises.
Exercise 5
Write the functions (height rectangle)
and (width rectangle)
that return the height and width of the given rectangle. Use destructuring.
(height (rectangle [1 1] [5 1])) => 0 (height (rectangle [1 1] [5 5])) => 4 (height (rectangle [0 0] [2 3])) => 3 (width (rectangle [1 1] [5 1])) => 4 (width (rectangle [1 1] [1 1])) => 0 (width (rectangle [3 1] [10 4])) => 7
Exercise 6
Write the function (square? rectangle)
that returns true
if rectangle
is a square and otherwise false
.
(square? (rectangle [1 1] [2 2]))
;=> true
(square? (rectangle [1 1] [2 3]))
;=> false
(square? (rectangle [1 1] [1 1]))
;=> true
(square? (rectangle [3 2] [1 0]))
;=> true
(square? (rectangle [3 2] [1 1]))
;=> false
Exercise 7
Write the function (area rectangle)
that returns the area of the given rectangle.
(area (rectangle [1 1] [5 1])) => 0 (area (rectangle [0 0] [1 1])) => 1 (area (rectangle [0 0] [4 3])) => 12 (area (rectangle [3 1] [10 4])) => 21
Exercise 8
Write the function (contains-point? rectangle point)
that returns true
if rectangle
contains point
and otherwise false
.
Remember that you can give <=
multiple parameters. (<= x y z)
returns true
if \(x \leq y \leq z\) holds. Otherwise false
.
Hint: and
is useful.
use destructuring.
(contains-point? (rectangle [0 0] [2 2]) (point 1 1))
;=> true
(contains-point? (rectangle [0 0] [2 2]) (point 2 1))
;=> true
(contains-point? (rectangle [0 0] [2 2]) (point -3 1))
;=> false
(contains-point? (rectangle [0 0] [2 2]) (point 1 3))
;=> false
(contains-point? (rectangle [1 1] [2 2]) (point 1 1))
;=> true
(contains-point? (rectangle [1 1] [1 1]) (point 1 1))
;=> true
Exercise 9
Write the function (contains-rectangle? outer inner)
that returns true
if the rectangle inner
is inside the rectangle outer
and otherwise false
.
Hint: use contains-point?
(contains-rectangle? (rectangle [0 0] [3 3]) (rectangle [1 1] [2 2]))
;=> true
(contains-rectangle? (rectangle [0 0] [2 2]) (rectangle [1 1] [3 3]))
;=> false
(contains-rectangle? (rectangle [0 0] [1 1]) (rectangle [0 0] [1 1]))
;=> true
(contains-rectangle? (rectangle [0 0] [1 1]) (rectangle [1 1] [2 2]))
;=> false
Maps
Where a vector associates integers to values, a map is not restricted to integer keys. You can use any kind of value as a key. A map is written with curly brackets, {}
.
{"foo" 42, "bar" 666} {"mehmeh" (
+
2 5) "rupatipor" "ropopo"}
A map is indexed with the get
function:
(
let
[ages {"Juhana" 3 "Ilmari" 42 "King of All Cosmos" -6}] (
get
ages "King of All Cosmos"))
;=> -6
In idiomatic Clojure programs, the keys of a map are often keywords. Keywords are a convenient way of naming keys for values in associative collections such as maps. They are written with a preceding :
.
(
def
book {
:title
"The City and the City"
:authors
[{
:name
"China Miéville",
:birth-year
1972}]}) (
get
book
:title
)
;=> "The City and the City"
Keywords are even more convenient than this. They work as functions that access collections:
(
:title
book)
;=> "The City and the City"
When used as a function and given a collection, a keyword looks itself up in the collection and returns the value associated with it.
We are a legion
count
can be used to find out the amount of elements in a collection.
(
count
[1 2 3])
;=> 3
(
count
{
:name
"China Miéville",
:birth-year
1972}) => 2 (
count
":)") => 2
As we can see, count
tells the amount of keys for a map and the amount of elements for a vector. It can also be used to find out the length of a string.
Let’s define some authors and a couple of books with maps and vectors.
(
def
china {
:name
"China Miéville",
:birth-year
1972}) (
def
octavia {
:name
"Octavia E. Butler"
:birth-year
1947
:death-year
2006}) (
def
friedman {
:name
"Daniel Friedman"
:birth-year
1944}) (
def
felleisen {
:name
"Matthias Felleisen"}) (
def
cities {
:title
"The City and the City"
:authors
[china]}) (
def
wild-seed {
:title
"Wild Seed",
:authors
[octavia]}) (
def
embassytown {
:title
"Embassytown",
:authors
[china]}) (
def
little-schemer {
:title
"The Little Schemer"
:authors
[friedman, felleisen]})
Exercise 10
Write the function (title-length book)
that counts the length of the book’s title.
(title-length cities)
;=> 21
(title-length wild-seed)
;=> 9
(title-length little-schemer)
;=> 18
Exercise 11
Write the function (author-count book)
that returns the amount of authors that book
has.
(author-count cities)
;=> 1
(author-count wild-seed)
;=> 1
(author-count little-schemer)
;=> 2
Exercise 12
Write the function (multiple-authors? book)
that returns true
if book
has multiple authors, otherwise false
.
(multiple-authors? cities)
;=> false
(multiple-authors? wild-seed)
;=> false
(multiple-authors? little-schemer)
;=> true
Adding Values to a Map
(assoc a-map a-key a-value)
sets the value of a-key
in a-map
to be a-value
.
(
assoc
{
:a
1}
:b
2)
;=> {:b 2, :a 1}
(
assoc
{
:a
1}
:a
2)
;=> {:a 2}
Let’s add some information to a book:
(
assoc
cities
:awards
["Hugo", "World Fantasy Award", "Arthur C. Clarke Award", "British Science Fiction Award"])
;=> {:awards ["Hugo" "World Fantasy Award" "Arthur C. Clarke Award"
; "British Science Fiction Award"]
; :title "The City and the City"
; :authors [{:birth-year 1972, :name "China Miéville"}]}
Vectors are an associative data structure, so assoc
also works with them.
;index: 0 1 2 0 1 2
(
assoc
[3 2 1] 1 "~o~")
;=> [3 "~o~" 1]
Here the key that you give as a parameter is the index that you want to change.
Assoc does not actually change the original data structure, but instead returns an updated version of it.
(
let
[original [1 2 3 4] new (
assoc
original 2 "foo")] original)
;=> [1 2 3 4]
Exercise 13
Use assoc
and conj
to write the function (add-author book new-author)
that takes a book and an author as a parameter and adds author
to book
s authors.
Hint: use let
to avoid pain
(add-author little-schemer {
:name
"Gerald J. Sussman"})
;=> {:title "The Little Schemer"
; :authors [{:birth-year 1944, :name "Daniel Friedman"}
; {:name "Matthias Felleisen"}
; {:name "Gerald J. Sussman"}]}
(add-author {
:authors
[{
:name
"Juhana"}]} {
:name
"Jani"})
;=> {:authors [{:name "Juhana"} {:name "Jani"}]}
The keys and values of a map can be of any data type, and one map can contain any number of different data types as both keys and values.
(contains? a-map a-key)
can be used to check if a-map
has a value for a-key
.
(
contains?
{"a" 1} "a")
;=> true
(
contains?
{"a" 1} 1)
;=> false
(
contains?
{"a" nil} "a")
;=> true
(
contains?
cities
:title
)
;=> true
(
contains?
cities
:name
)
;=> false
Exercise 14
Write the function (alive? author)
which takes an author map and returns true
if the author
is alive, otherwise false
.
An author is alive if the author does not have a death year.
(alive? china)
;=> true
(alive? octavia)
;=> false
Serial grave digging
We know how to extract information from a single book or author. However, we often want to extract information from a collection of items. As an example, given a collection of books, we want the names of all the authors:
(
def
books [cities, wild-seed, embassytown, little-schemer]) (all-author-names books)
;=> #{"China Miéville" "Octavia E. Butler"
; "Daniel Friedman" "Matthias Felleisen"}
How should we implement all-author-names
?
We’ll give the implementation now, and introduce the new concepts used one by one. The implementation looks like this:
(
defn
author-names [book] (
map
:name
(
:authors
book))) (
defn
all-author-names [books] (
set
(
apply
concat
(
map
author-names books))))
Now there’s a lot of new stuff there, so we’ll take a detour to learn it all before continuing with our book library.
Let’s take a look at this map
function.
Sequences
Before talking about map
, we need to introduce a new concept: the sequence. Many of Clojure’s functions that operate on vectors and other collections actually operate on sequences. The (seq collection)
function returns a sequence constructed from a collection, such as a vector or a map.
Sequences have the following operations:
(first sequence)
returns the first element of the sequence.(rest sequence)
returns the sequence without its first element.(cons item sequence)
returns a new sequence whereitem
is the first element andsequence
is the rest.
(
seq
[1 2 3])
;=> (1 2 3)
(
seq
{
:a
42
:b
"foo"
:c
["ur" "dad"]})
;=> ([:a 42] [:c ["ur" "dad"]] [:b "foo"])
(
first
(
seq
[1 2 3]))
;=> 1
(
rest
(
seq
[1 2 3))
;=> (2 3)
(
cons
0 (
seq
[1 2 3]))
;=> (0 1 2 3)
Here you can see the printed form of sequences, the elements inside (
and )
. This has the consequence that copying (1 2 3)
back to the REPL tries to call 1
as a function. The result is that you can not use the printed form of a sequence as a value like you could with vectors and maps.
Actually, the sequence functions call seq
on their collection parameters themselves, so we can just write the above examples like this:
(
first
[1 2 3])
;=> 1
(
rest
[1 2 3])
;=> (2 3)
(
cons
0 [1 2 3])
;=> (0 1 2 3)
The map function
(map function collection)
takes two parameters, a function and a sequenceable collection. It calls the function on each element of the sequence and returns a sequence of the return values.
(
defn
munge [x] (
+
x 42)) (
map
munge [1 2 3 4])
;=> ((munge 1) (munge 2) (munge 3) (munge 4)) ; [note below]
;=> ( 43 44 45 46)
Note: You can’t paste the result line (or the middle one) to the REPL, as it is the printed form of a sequence.
Exercise 15
Write the function (element-lengths collection)
that returns the lengths of every item in collection
.
(element-lengths ["foo" "bar" "" "quux"])
;=> (3 3 0 4)
(element-lengths ["x" [
:a
:b
:c
] {
:y
42}])
;=> (1 3 1)
Earlier, we briefly introduces the fn
special form that can be used to create functions. This is useful when you want a function that is only visible in the definition of another function. Quite often you want to use let
to give name to this helper function.
Let’s rewrite the example above in this style:
(
defn
mungefy [a-seq] (
let
[munge (
fn
[x] (
+
x 42))] (
map
munge a-seq)))
Now the function munge
is only visible inside the definition of mungefy
. It should work like the previous one.
(mungefy [1 2 3 4])
;=> (43 44 45 46)
Exercise 16
Use map
to write the function (second-elements collection)
that takes a vector of vectors and returns a sequence of the second elements.
Remember that you can use get
to index a vector.
Use fn
and let
to create a helper function and use it with map
.
(second-elements [[1 2] [2 3] [3 4]])
;=> (2 3 4)
(second-elements [[1 2 3 4] [1] ["a" "s" "d" "f"]])
;=> (2 nil "s")
When you have a sequence of maps, the fact that :keywords
are also functions can be helpful.
(
:name
{
:name
"MEEEE",
:secret
"Awesome"})
;=> "MEEEE"
You can therefore use a :keyword
as the function parameter of map
.
(
let
[people [{
:name
"Juhana",
:age
3} {
:name
"Ilmari",
:age
42} {
:name
"Jani",
:age
72} {
:name
"King of All Cosmos"
:age
-6}]] (
map
:age
people))
;=> (3 42 72 -6)
Exercise 17
Write the function (titles books)
that takes a collection of books and returns their titles.
Using our earlier examples:
(
def
china {
:name
"China Miéville",
:birth-year
1972}) (
def
octavia {
:name
"Octavia E. Butler"
:birth-year
1947
:death-year
2006}) (
def
friedman {
:name
"Daniel Friedman"
:birth-year
1944}) (
def
felleisen {
:name
"Matthias Felleisen"}) (
def
cities {
:title
"The City and the City"
:authors
[china]}) (
def
wild-seed {
:title
"Wild Seed",
:authors
[octavia]}) (
def
embassytown {
:title
"Embassytown",
:authors
[china]}) (
def
little-schemer {
:title
"The Little Schemer"
:authors
[friedman, felleisen]}) (
def
books [cities, wild-seed, embassytown, little-schemer])
titles
should work like this:
(titles [cities]) ;=> ("The City and the City" ) (titles books) ;=> ("The City and the City" "Wild Seed" ; "Embassytown" "The Little Schemer")
Okey, so now that map
has been gone over, let’s see the definition of all-author-names
again.
(
defn
author-names [book] (
map
:name
(
:authors
book))) (
defn
all-author-names [books] (
set
(
apply
concat
(
map
author-name books))))
author-names
returns the names of the authors of a single book.
(author-names cities)
;=> ("China Miéville")
(author-names little-schemer)
;=> ("Daniel Friedman" "Matthias Felleisen")
Since this is just a helper function used inside all-author-names
we can move it inside by using let
and fn
.
(
defn
all-author-names [books] (
let
[author-names (
fn
[book] (
map
:name
(
:authors
book)))] (
set
(
apply
concat
(
map
author-names books)))))
The definition of all-author-names
still has some mysterious words like set
, apply
and concat
in it. Let’s see what would happen without them.
(
map
author-names [cities])
;=> (("China Miéville"))
(
map
author-names [cities, wild-seed])
;=> (("China Miéville") ("Octavia E. Butler"))
So first of all we would get every books authors inside a sequence. To fix this, we need to concatenate the sequences. To do this, there is concat
.
(
concat
["China Miéville"] ["Octavia E. Butler"])
;=> ("China Miéville" "Octavia E. Butler")
This looks like what we want. However, if we simply try to use (concat (map author-names books))
, we get the following problem:
(
concat
(
map
author-names [cities, wild-seed]))
;=> (concat (("China Miéville") ("Octavia E. Butler")))
;=> (("China Miéville") ("Octavia E. Butler"))
So we end up only giving concat
one argument and it simply returns the argument. What we want is to give the elements of (map author-names books)
to concat
as arguments.
No worries, there is a way to do this. Let’s check out apply
.
Apply Now, Redux
(apply function a-seq)
applies function
to the arguments in a-seq
. Here’s an example:
(
apply
+
[1 2 3])
;=> (+ 1 2 3)
;=> 6
And here’s another with concat
:
(
apply
concat
[["China Miéville"] ["Octavia E. Butler"]])
;=> (concat ["China Miéville"] ["Octavia E. Butler"])
;=> ("China Miéville" "Octavia E. Butler")
More generally, apply
works like this:
(
apply
function [arg1 arg2 arg3 ...]) => (function arg1 arg2 arg3 ...)
Exercise 18
Write the function (stars n)
that returns a string with n
aterisks \*
.
The function (repeat n x)
returns a sequence with n
x
s:
(
repeat
5 "*")
;=> ("*" "*" "*" "*" "*")
(
repeat
3 "~o~")
;=> ("~o~" "~o~" "~o~")
Remember that you can use str
to concatenate strings.
(stars 1)
;=> "*"
(stars 7)
;=> "*******"
(stars 3)
;=> "***"
Exercise 19
Write the function (monotonic? a-seq)
that returns true
if a-seq
is monotonic and otherwise false
.
A sequence is monotonic if is either inceasing or decreasing. In a decreasing sequence every element is at most as large as the previous one and in an increasing sequence every member is at least as large as the previous one.
Use apply
.
Hint: <=
might be useful
(monotonic? [1 2 3])
;=> true
(monotonic? [0 1 10 11])
;=> true
(monotonic? [3 2 0 -3])
;=> true
(monotonic? [3 2 2])
;=> true Not strictly monotonic
(monotonic? [1 2 1 0])
;=> false
So now we can put all authors into a single list. There’s just one problem left. What is that? Well, let’s see what happens if we put together everything seen so far.
(
apply
concat
(
map
author-names books))
;=> ("China Miéville" "Octavia E. Butler"
; "China Miéville" "Daniel Friedman"
; "Matthias Felleisen")
We had two books by China Miéville, so his name is in the resulting sequence twice. But when we want to see the authors, we are usually not interested in duplicates. So lets turn the sequence into a data structure that supports this.
Set
Our last major data structure is the set. It is an unordered collection of items without duplicates.
(
set
["^^" "^^" "^__*__^"])
;=> #{"^__*__^" "^^"}
(
set
[1 2 3 1 1 1 3 3 2 1])
;=> #{1 2 3}
The textual form of a set is #{an-elem another-elem ...}
and you can convert another collection into a set with the function set
.
Sets have three basic operations:
You can check whether a set contains an element with the function contains?
:
(
def
games #{"Portal", "Planescape: Torment", "Machinarium", "Alpha Protocol"}) (
contains?
games "Portal")
;=> true
(
contains?
games "RAGE")
;=> false
(
contains?
games 42)
;=> false
(conj set elem)
adds elem to set
if it does not already have elem
:
(
conj
#{
:a
:b
:c
}
:EEEEE
)
;=> #{:a :c :b :EEEEE}
Nothing happens if elem
is already a member of set
:
(
conj
#{
:a
:b
:c
}
:a
)
;=> #{:a :c :b}
You can also add multiple elements by giving conj
additional arguments:
(
conj
#{
:a
:b
:c
}
:d
:e
)
;=> #{:a :c :b :d :e}
Finally, (disj set elem)
removes elem
from set
if it contains elem
:
(
disj
#{
:a
:b
:c
}
:c
)
;=> #{:a :b}
(
disj
#{
:a
:b
:c
}
:EEEEE
)
;=> #{:a :c :b}
(
disj
#{
:a
:b
:c
}
:c
:a
)
;=> #{:b}
Exercise 20
Write the function (toggle a-set elem)
that removes elem
from a-set
if a-set
contains elem
, and adds it to the set otherwise.
(toggle #{
:a
:b
:c
}
:d
)
;=> #{:a :c :b :d}
(toggle #{
:a
:b
:c
}
:a
)
;=> #{:c :b}
If you want to know the size of a set, count
also works with sets.
(
count
#{1 2 3})
;=> 3
(
count
(
set
[1 2]))
;=> 2
Exercise 21
Write the function (contains-duplicates? sequence)
that takes a sequence as a parameter and returns true
if sequence
contains some element multiple times. Otherwise it returns false
.
(contains-duplicates? [1 1 2 3 -40])
;=> true
(contains-duplicates? [1 2 3 -40])
;=> false
(contains-duplicates? [1 2 3 "a" "a"])
;=> true
Our books looked like this:
(
def
friedman {
:name
"Daniel Friedman"
:birth-year
1944}) (
def
felleisen {
:name
"Matthias Felleisen"}) (
def
little-schemer {
:title
"The Little Schemer"
:authors
[friedman, felleisen]})
Now we can understand the whole implementation of all-author-names
. We use
fn
to introduce a helper function,keywords to index the books,
map to get all authors from a single book
let
to give a name to our helper function,map
to apply the helper function to all the given books, andconstruct a set with the
set
function to get rid of duplicates.
(
defn
all-author-names [books] (
let
[author-names (
fn
[book] (
map
:name
(
:authors
book)))] (
set
(
apply
concat
(
map
author-names books)))))
Calling our function returns the desired set:
(all-author-names books)
;=> #{"Matthias Felleisen" "China Miéville"
; "Octavia E. Butler" "Daniel Friedman"}
Representing Books, Take Two
Now I would like to ask whether little-schemer
has felleisen
as an author or not. This turns out to be problematic. There is no function on vectors that can be used to query membership. So how about we change the representation of books? We now have a motivation to put authors into a set instead of a vector. This feels like a more natural fit, since a book never has a single author multiple times and our data doesn’t give a natural order for the authors.
New representation:
(
def
little-schemer {
:title
"The Little Schemer"
:authors
#{friedman, felleisen}})
Exercise 22
Write the function (old-book->new-book book)
that takes a book with the previous representation (authors in a vector) and returns the same book in the new representation (authors in a set).
Use assoc
to change the representation. Do not construct a new map using the map literal syntax.
(old-book->new-book {
:title
"The Little Schemer"
:authors
[friedman, felleisen]})
;=> {:title "The Little Schemer" :authors #{friedman, felleisen}}
(old-book->new-book {
:title
"Wild Seed",
:authors
[octavia]})
;=> {:title "Wild Seed", :authors #{octavia}}
The reason to use assoc
is that it allows us to keep any additional key-value pairs intact. Earlier we had an example where we added a list of awards to a book. By using assoc
, these additional key-value pairs do not disappear anywhere during the transformation.
(old-book->new-book {
:awards
["Hugo" "World Fantasy Award" "Arthur C. Clarke Award" "British Science Fiction Award"]
:title
"The City and the City"
:authors
[{
:birth-year
1972,
:name
"China Miéville"}]})
;=> {:awards ["Hugo" "World Fantasy Award" "Arthur C. Clarke Award"
; "British Science Fiction Award"]
; :title "The City and the City"
; :authors #{{:birth-year 1972, :name "China Miéville"}}}
Here are all of the books changed to the new representation:
(
def
china {
:name
"China Miéville",
:birth-year
1972}) (
def
octavia {
:name
"Octavia E. Butler"
:birth-year
1947
:death-year
2006}) (
def
friedman {
:name
"Daniel Friedman"
:birth-year
1944}) (
def
felleisen {
:name
"Matthias Felleisen"}) (
def
cities {
:title
"The City and the City"
:authors
#{china}}) (
def
wild-seed {
:title
"Wild Seed",
:authors
#{octavia}}) (
def
embassytown {
:title
"Embassytown",
:authors
#{china}}) (
def
little-schemer {
:title
"The Little Schemer"
:authors
#{friedman, felleisen}}) (
def
books [cities, wild-seed, embassytown, little-schemer])
Now that the authors are in a set, it is easy to find out whether a book has some author or not.
Exercise 23
Write the function (has-author? book author)
that returns true
if author
is in the authors of book
and otherwise false
.
(has-author? cities china)
;=> true
(has-author? cities felleisen)
;=> false
(has-author? little-schemer felleisen)
;=> true
(has-author? little-schemer friedman)
;=> true
(has-author? little-schemer octavia)
;=> false
Does our previous definition for all-author-names
still work? It does, but let’s take another look at it.
(
defn
all-author-names [books] (
let
[author-names (
fn
[book] (
map
:name
(
:authors
book)))] (
set
(
apply
concat
(
map
author-names books)))))
Here we first turn each book into a sequence of names. Concatenate the sequences and finally turn this sequence into a set. Let’s break this into two steps. First, let’s define a function that returns all authors in a set. Then use this set to get the names.
For sets, there is a special function (clojure.set/union set1 set2 ...)
that returns a new set that has all the elements of its parameters.
(clojure.set/union #{1 2} #{2 3} #{1 2 3 4} #{7 8})
;=> #{1 2 3 4 7 8}
(
apply
clojure.set/union [#{1 2} #{5} #{7 8}])
;=> #{1 2 5 7 8}
That is, union
works like concat
but is specialized for sets. Let’s put this into good use:
Exercise 24
Write the function (authors books)
that returns the authors of every book in books
as a set.
(authors [cities, wild-seed])
;=> #{china, octavia}
(authors [cities, wild-seed, embassytown])
;=> #{china, octavia}
(authors [little-schemer, cities])
;=> #{china, friedman, felleisen}
Now that we have all of our authors, defining all-author-names
should be simple.
Exercise 25
Write the function (all-author-names books)
that works like the previous one and uses authors
.
(all-author-names books)
;=> #{"Matthias Felleisen" "China Miéville"
; "Octavia E. Butler" "Daniel Friedman"}
(all-author-names [cities, wild-seed])
;=> #{"China Miéville" "Octavia E. Butler"}
(all-author-names [])
;=> #{}
String Representation for Books
Now that we have defined these books, I would like to have a readable string representation for them. Let’s start by defining a representation for a single author.
Exercise 26
Write the function (author->string author)
that returns a string representation of author
as follows:
You can assume that every author with a :death-year
also has a :birth-year
.
(author->string felleisen)
;=> "Matthias Felleisen"
(author->string friedman)
;=> "Daniel Friedman (1944 - )"
(author->string octavia)
;=> "Octavia E. Butler (1947 - 2006)"
Hint: you probably want to split this string into two parts: name and years. Use let
to form these and use str
to create the final string.
Now we have a string representation for a single author. Some of our books had multiple authors, so we need to figure out a way to give a string representation for multiple authors. To do this, we need a handy helper function.
Sometimes you want to add something in between the elements of a sequence. For that, there is (interpose separator a-seq)
, which returns a new sequence that has separator
between each element of a-seq
.
(
interpose
":" [1 2 3])
;=> (1 ":" 2 ":" 3)
(
interpose
" and " ["a", "b"])
;=> ("a" " and " "b")
(
interpose
", " [])
;=> ()
(
apply
str
(
interpose
" and " ["a", "b"]))
;=> "a and b"
With this, it shouldn’t be too hard to get a nice representation for a sequence of authors.
Exercise 27
Write the function (authors->string authors)
which takes a sequence of authors as a parameter and returns a string representation of authors
in the following manner:
(authors->string (
:authors
little-schemer))
;=> "Daniel Friedman (1944 - ), Matthias Felleisen"
(authors->string #{octavia})
;=> "Octavia E. Butler (1947 - 2006)"
(authors->string #{})
;=> ""
(authors->string #{octavia, friedman})
;=> "Octavia E. Butler (1947 - 2006), Daniel Friedman (1944 - )"
; order doesn't matter
Since the authors are in a set, which doesn’t have a predefined order, the resulting string can have the authors in any order.
Now that we can handle the case of multiple authors, we can move on to the string representation of a single book.
Exercise 28
Write the function (book->string book)
takes a single book as a parameter and returns a string representation of book
as follows:
(book->string wild-seed)
;=> "Wild Seed, written by Octavia E. Butler"
(book->string little-schemer)
;=> "The Little Schemer, written by Daniel Friedman (1944 - ), Matthias Felleisen"
; ^-- order doesn't matter
Again, the order of authors in the string doesn’t matter.
And finally, we can define a string representation for a sequence of books.
Exercise 29
Write the function (books->string books)
that takes a sequence of books as a parameter and returns a string representation of books
like this:
(books->string [])
;=> "No books."
(books->string [cities])
;=> "1 book. The City and the City, written by China Miéville (1972 - )."
(books->string [little-schemer, cities, wild-seed])
;=> "3 books. The Little Schemer, written by Daniel Friedman (1944 - ), Matthias Felleisen. The City and the City, written by China Miéville (1972 - ). Wild Seed, written by Octavia E. Butler (1947 - 2006)."
Filtering sequences
Another common function besides map
is filter
. It is used to select some elements of a sequence and disregard the rest:
(
filter
pos?
[-4 6 -2 7 -8 3])
;=> ( 6 7 3 )
; value -4 6 -2 7 -8 3
; pos? false true false true false true
(
filter
(
fn
[x] (
>
(
count
x) 2)) ["ff" "f" "ffffff" "fff"])
;=> ("ffffff" "fff")
(filter predicate collection)
takes two parameters, a function and a sequencable collection. It calls predicate
(the function) on each element of collection
and returns a sequence of elements of collection
for which predicate
returned a truthy value. In the above example the values (6 7 3)
were selected because for them pos?
returned true
; for the others it returned false
, a falsey value, and they were filtered out.
Exercise 30
Write the function (books-by-author author books)
.
Hint: has-author?
(books-by-author china books)
;=> (cities embassytown)
(books-by-author octavia books)
;=> (wild-seed)
(
def
authors #{china, felleisen, octavia, friedman})
Exercise 31
Write the function (author-by-name name authors)
that takes a string name
and a sequence of authors and returns an author with the given name if one is found. If one is not found, then nil
should be returned.
Hint: remember first
(author-by-name "Octavia E. Butler" authors)
;=> octavia
(author-by-name "Octavia E. Butler" #{felleisen, friedman})
;=> nil
(author-by-name "China Miéville" authors)
;=> china
(author-by-name "Goerge R. R. Martin" authors)
;=> nil
Exercise 32
Write the function (living-authors authors)
that takes a sequence of authors and returns those that are alive. Remember alive?
.
(living-authors authors)
;=> (china, felleisen, friedman)
(living-authors #{octavia})
;=> ()
(living-authors #{china, felleisen})
;=> (china, felleisen)
The order in the results doesn’t matter.
Here’s another book. This one has both living and dead authors, which is a useful test case for the following exercises.
(
def
jrrtolkien {
:name
"J. R. R. Tolkien"
:birth-year
1892
:death-year
1973}) (
def
christopher {
:name
"Christopher Tolkien"
:birth-year
1924}) (
def
kay {
:name
"Guy Gavriel Kay"
:birth-year
1954}) (
def
silmarillion {
:title
"Silmarillion"
:authors
#{jrrtolkien, christopher, kay}})
And here’s another with multiple dead authors:
(
def
dick {
:name
"Philip K. Dick",
:birth-year
1928,
:death-year
1982}) (
def
zelazny {
:name
"Roger Zelazny",
:birth-year
1937,
:death-year
1995}) (
def
deus-irae {
:title
"Deus Irae",
:authors
#{dick, zelazny}})
If you want to know whether a collection is empty or not, you can use (empty? coll)
to do that.
(
empty?
[])
;=> true
(
empty?
#{})
;=> true
(
empty?
[1])
;=> false
Exercise 33
Write the function (has-a-living-author? book)
that returns true
if book
has a living author, and otherwise false
.
(has-a-living-author? wild-seed)
;=> false
(has-a-living-author? silmarillion)
;=> true
(has-a-living-author? little-schemer)
;=> true
(has-a-living-author? cities)
;=> true
(has-a-living-author? deus-irae)
;=> false
Exercise 34
Write the function (books-by-living-authors books)
that takes a sequence of books as a parameter and returns those that have a living author.
(books-by-living-authors books)
;=> (little-schemer cities embassytown)
(books-by-living-authors (
concat
books [deus-irae, silmarillion]))
;=> (little-schemer cities embassytown silmarillion)
Keeping your vectors
map
and filter
always return sequences, regardless of the collection type given as a parameter. Sometimes, however, you want the result to be a vector. For an example, you may want to index the vector afterwards. In this situation, you can use mapv
and filterv
, which are variants of map
and filter
that always return vectors.
(mapv ... [...])
;=> [...]
(filterv
pos?
[-4 6 -2 7 -8 3])
;=> [6 7 3]
(filterv
pos?
#{-4 6 -2 7 -8 3})
;=> [3 6 7]
(mapv ... #{...})
;=> [...]
Done!
Phew, that was quite a lot of stuff.