# 5.11. Exercises#

Solutions to most exercises are available. Fall 2022 is the first public release of these solutions. Though they have been available to Cornell students for a few years, it is inevitable that wider circulation will reveal improvements that could be made. We are happy to add or correct solutions. Please make contributions through Github.

Exercise: complex synonym [★]

Here is a module type for complex numbers, which have a real and imaginary component:

module type ComplexSig = sig
val zero : float * float
val add : float * float -> float * float -> float * float
end


Improve that code by adding type t = float * float. Show how the signature can be written more tersely because of the type synonym.

Exercise: complex encapsulation [★★]

Here is a module for the module type from the previous exercise:

module Complex : ComplexSig = struct
type t = float * float
let zero = (0., 0.)
let add (r1, i1) (r2, i2) = r1 +. r2, i1 +. i2
end


Investigate what happens if you make the following changes (each independently), and explain why any errors arise:

• remove zero from the structure

• remove add from the signature

• change zero in the structure to let zero = 0, 0

Exercise: big list queue [★★]

Use the following code to create ListQueue of exponentially increasing length: 10, 100, 1000, etc. How big of a queue can you create before there is a noticeable delay? How big until there’s a delay of at least 10 seconds? (Note: you can abort utop computations with Ctrl-C.)

(** Creates a ListQueue filled with [n] elements. *)
let fill_listqueue n =
let rec loop n q =
if n = 0 then q
else loop (n - 1) (ListQueue.enqueue n q) in
loop n ListQueue.empty


Exercise: big batched queue [★★]

Use the following function to create BatchedQueue of exponentially increasing length:

let fill_batchedqueue n =
let rec loop n q =
if n = 0 then q
else loop (n - 1) (BatchedQueue.enqueue n q) in
loop n BatchedQueue.empty


Now how big of a queue can you create before there’s a delay of at least 10 seconds?

Exercise: queue efficiency [★★★]

Compare the implementations of enqueue in ListQueue vs. BatchedQueue. Explain in your own words why the efficiency of ListQueue.enqueue is linear time in the length of the queue. Hint: consider the @ operator. Then explain why adding $$n$$ elements to the queue takes time that is quadratic in $$n$$.

Now consider BatchedQueue.enqueue. Suppose that the queue is in a state where it has never had any elements dequeued. Explain in your own words why BatchedQueue.enqueue is constant time. Then explain why adding $$n$$ elements to the queue takes time that is linear in $$n$$.

Exercise: binary search tree map [★★★★]

Write a module BstMap that implements the Map module type using a binary search tree type. Binary trees were covered earlier when we discussed algebraic data types. A binary search tree (BST) is a binary tree that obeys the following BST Invariant:

For any node n, every node in the left subtree of n has a value less than n’s value, and every node in the right subtree of n has a value greater than n’s value.

Your nodes should store pairs of keys and values. The keys should be ordered by the BST Invariant. Based on that invariant, you will always know whether to look left or right in a tree to find a particular key.

Exercise: fraction [★★★]

Write a module that implements the Fraction module type below:

module type Fraction = sig
(* A fraction is a rational number p/q, where q != 0.*)
type t

(** [make n d] is n/d. Requires d != 0. *)
val make : int -> int -> t

val numerator : t -> int
val denominator : t -> int
val to_string : t -> string
val to_float : t -> float

val add : t -> t -> t
val mul : t -> t -> t
end


Exercise: fraction reduced [★★★]

Modify your implementation of Fraction to ensure these invariants hold for every value v of type t that is returned from make, add, and mul:

1. v is in reduced form

2. the denominator of v is positive

For the first invariant, you might find this implementation of Euclid’s algorithm to be helpful:

(** [gcd x y] is the greatest common divisor of [x] and [y].
Requires: [x] and [y] are positive. *)
let rec gcd x y =
if x = 0 then y
else if (x < y) then gcd (y - x) x
else gcd y (x - y)


Exercise: make char map [★]

To create a standard library map, we first have to use the Map.Make functor to produce a module that is specialized for the type of keys we want. Type the following in utop:

# module CharMap = Map.Make(Char);;


The output tells you that a new module named CharMap has been defined, and it gives you a signature for it. Find the values empty, add, and remove in that signature. Explain their types in your own words.

Exercise: char ordered [★]

The Map.Make functor requires its input module to match the Map.OrderedType signature. Look at that signature as well as the signature for the Char module. Explain in your own words why we are allowed to pass Char as an argument to Map.Make.

Exercise: use char map [★★]

Using the CharMap you just made, create a map that contains the following bindings:

• 'A' maps to "Alpha"

• 'E' maps to "Echo"

• 'S' maps to "Sierra"

• 'V' maps to "Victor"

Use CharMap.find to find the binding for 'E'.

Now remove the binding for 'A'. Use CharMap.mem to find whether 'A' is still bound.

Use the function CharMap.bindings to convert your map into an association list.

Exercise: bindings [★★]

Investigate the documentation of the Map.S signature to find the specification of bindings. Which of these expressions will return the same association list?

1. CharMap.(empty |> add 'x' 0 |> add 'y' 1 |> bindings)

2. CharMap.(empty |> add 'y' 1 |> add 'x' 0 |> bindings)

3. CharMap.(empty |> add 'x' 2 |> add 'y' 1 |> remove 'x' |> add 'x' 0 |> bindings)

Exercise: date order [★★]

Here is a type for dates:

type date = {month : int; day : int}


For example, March 31st would be represented as {month = 3; day = 31}. Our goal in the next few exercises is to implement a map whose keys have type date.

Obviously it’s possible to represent invalid dates with type date—for example, { month=6; day=50 } would be June 50th, which is not a real date. The behavior of your code in the exercises below is unspecified for invalid dates.

To create a map over dates, we need a module that we can pass as input to Map.Make. That module will need to match the Map.OrderedType signature. Create such a module. Here is some code to get you started:

module Date = struct
type t = date
let compare ...
end


Recall the specification of compare in Map.OrderedType as you write your Date.compare function.

Exercise: calendar [★★]

Use the Map.Make functor with your Date module to create a DateMap module. Then define a calendar type as follows:

type calendar = string DateMap.t


The idea is that calendar maps a date to the name of an event occurring on that date.

Using the functions in the DateMap module, create a calendar with a few entries in it, such as birthdays or anniversaries.

Exercise: print calendar [★★]

Write a function print_calendar : calendar -> unit that prints each entry in a calendar in a format similar to the inspiring examples in the previous exercise. Hint: use DateMap.iter, which is documented in the Map.S signature.

Exercise: is for [★★★]

Write a function is_for : string CharMap.t -> string CharMap.t that given an input map with bindings from $$k_1$$ to $$v_1$$, …, $$k_n$$ to $$v_n$$, produces an output map with the same keys, but where each key $$k_i$$ is now bound to the string “$$k_i$$ is for $$v_i$$”. For example, if m maps 'a' to "apple", then is_for m would map 'a' to "a is for apple". Hint: there is a one-line solution that uses a function from the Map.S signature. To convert a character to a string, you could use String.make. An even fancier way would be to use Printf.sprintf.

Exercise: first after [★★★]

Write a function first_after : calendar -> Date.t -> string that returns the name of the first event that occurs strictly after the given date. If there is no such event, the function should raise Not_found, which is an exception already defined in the standard library. Hint: there is a one-line solution that uses two functions from the Map.S signature.

Exercise: sets [★★★]

The standard library Set module is quite similar to the Map module. Use it to create a module that represents sets of case-insensitive strings. Strings that differ only in their case should be considered equal by the set. For example, the sets {“grr”, “argh”} and {“aRgh”, “GRR”} should be considered the same, and adding “gRr” to either set should not change the set.

Exercise: ToString [★★]

Write a module type ToString that specifies a signature with an abstract type t and a function to_string : t -> string.

Exercise: Print [★★]

Write a functor Print that takes as input a module named M of type ToString. The module returned by your functor should have exactly one value in it, print, which is a function that takes a value of type M.t and prints a string representation of that value.

Exercise: Print Int [★★]

Create a module named PrintInt that is the result of applying the functor Print to a new module Int. You will need to write Int yourself. The type Int.t should be int. Hint: do not seal Int.

Experiment with PrintInt in utop. Use it to print the value of an integer.

Exercise: Print String [★★]

Create a module named PrintString that is the result of applying the functor Print to a new module MyString. You will need to write MyString yourself. Hint: do not seal MyString.

Experiment with PrintString in utop. Use it to print the value of a string.

Exercise: Print Reuse [★]

Explain in your own words how Print has achieved code reuse, albeit a very small amount.

Exercise: Print String reuse revisited [★★]

The PrintString module you created above supports just one operation: print. It would be great to have a module that supports all the String module functions in addition to that print operation, and it would be super great to derive such a module without having to copy any code.

Define a module StringWithPrint. It should have all the values of the built-in String module. It should also have the print operation, which should be derived from the Print functor rather than being copied code. Hint: use two include statements.

Exercise: implementation without interface [★]

Create a file named date.ml. In it put the following code:

type date = {month : int; day : int}
let make_date month day = {month; day}
let get_month d = d.month
let get_day d = d.day
let to_string d = (string_of_int d.month) ^ "/" ^ (string_of_int d.day)


Also create a dune file:

(library
(name date))


Load the library into utop:

\$ dune utop


In utop, open Date, create a date, access its day, and convert it to a string.

Exercise: implementation with interface [★]

After doing the previous exercise, also create a file named date.mli. In it put the following code:

type date = {month : int; day : int}
val make_date : int -> int -> date
val get_month : date -> int
val get_day : date -> int
val to_string : date -> string


Then re-do the same work as before in utop.

Exercise: implementation with abstracted interface [★]

After doing the previous two exercises, edit date.mli and change the first declaration in it to the following:

type date


The type date is now abstract. Again re-do the same work in utop. Some of the responses will change. Explain in your own words those changes.

Exercise: printer for date [★★★]

Add a declaration to date.mli:

val format : Format.formatter -> date -> unit


And add a definition of format to date.ml. Hint: use Format.fprintf and Date.to_string.

Now recompile, load utop, and after loading date.cmo install the printer by issuing the directive

#install_printer Date.format;;


Reissue the other phrases to utop as you did in the exercises above. The response from one phrase will change in a helpful way. Explain why.

Exercise: refactor arith [★★★★]

Download this file: algebra.ml. It contains two signatures and four structures:

• Ring is signature that describes the algebraic structure called a ring, which is an abstraction of the addition and multiplication operators.

• Field is a signature that describes the algebraic structure called a field, which is like a ring but also has an abstraction of the division operation.

• IntRing and FloatRing are structures that implement rings in terms of int and float.

• IntField and FloatField are structures that implement fields in terms of int and float.

• IntRational and FloatRational are structures that implement fields in terms of ratios (aka fractions)—that is, pairs of int and pairs of float.

Note

Dear fans of abstract algebra: of course these representations don’t necessarily obey all the axioms of rings and fields because of the limitations of machine arithmetic. Also, the division operation in IntField is ill-defined on zero. Try not to worry about that.

Refactor the code to improve the amount of code reuse it exhibits. To do that, use include, functors, and introduce additional structures and signatures as needed. There isn’t necessarily a right answer here, but here’s some advice:

• No name should be directly declared in more than one signature. For example, ( + ) should not be directly declared in Field; it should be reused from an earlier signature. By “directly declared” we mean a declaration of the form val name : .... An indirect declaration would be one that results from an include.

• You need only three direct definitions of the algebraic operations and numbers (plus, minus, times, divide, zero, one): once for int, once for float, and once for ratios. For example, IntField.( + ) should not be directly defined as Stdlib.( + ); rather, it should be reused from elsewhere. By “directly defined” we mean a definition of the form let name = .... An indirect definition would be one that results from an include or a functor application.

• The rational structures can both be produced by a single functor that is applied once to IntField and once to FloatField.

• It’s possible to eliminate all duplication of of_int, such that it is directly defined exactly once, and all structures reuse that definition; and such that it is directly declared in only one signature. This will require the use of functors. It will also require inventing an algorithm that can convert an integer to an arbitrary Ring representation, regardless of what the representation type of that Ring is.

When you’re done, the types of all the modules should remain unchanged. You can easily see those types by running ocamlc -i algebra.ml.