As you may recall, we left our original exploration of the way Scheme evaluates with a high-level overview of an algorithm the interpreter might use and a data structure that it relies on. The data structure is a dictionary that maps names to values. It keeps track of the values we’ve defined. The algorithm was something like the following:
Look at the next non-space character
If the next non-space character is an open parenthesis
Look at the next thing after the open parenthesis.
If the next thing is the keyword define
Read the next thing (a name to define)
Read the next thing (an expression)
Evaluate the expression, giving a value
Add the (name . value) entry to the dictionary
Otherwise the next thing must be a function
Read and evaluate each argument
Apply the function to the evaluated arguments
Otherwise, see if the next non-space character is a digit (or + or -)
Read all the parts of a number
The number is the result
Otherwise, see if the next non-space character is a letter
Read everything up to the next space (or close paren).
Look up the thing just read in the dictionary.
If it's not there, crash and burn
Otherwise, the result is the value found in the dictionary
Otherwise, we've encountered an unknown kind of value
We’ve just introduced user-defined procedures, which have the following form.
(define procedure-name
(lambda (parameter-list)
expression-1
...
expression-n))
What effects does this introduction have? Surprisingly many. We need to consider what happens in a procedure definition and what happens when we apply a procedure.
Suppose we have the following procedure definition.
(define square
(lambda (x)
(* x x)))
What does the interpreter do with this? Well, we know that when it sees
an open paren, it looks at the next thing. If the next thing is the
keyword define
, it assumes it has a definition of the form (define
name expression)
, evaluates the expression and then associates it
with name. So, how do we evaluate the “expression”? Here’s an
interesting trick: In Scheme, you don’t evaluate lambda expressions;
you leave them as is.
Hence, the effect of the previous definition is to extend the dictionary as follows
Name | Value |
---|---|
square |
(lambda (x) (\* x x)) |
To accommodate this approach, we need to change the interpretation algorithm a bit. In particular, if the first thing after an open parenthesis is the keyword lambda
, we simply return the whole thing.
If the next non-space character is an open parenthesis
Look at the next thing.
If the next thing is the keyword define
...
Otherwise, if the next thing is the keyword lambda
Read until the corresponding close parenthesis.
The whole expression is the result.
Otherwise, the thing after the open paren is a function
...
But if the lambda is never evaluated, what good is it? It turns out the lambda is evaluated, just not until you use the defined procedure.
So, what happens when we apply a user defined procedure, which we’ve just
learned is stored as an unevaluated lambda expression? Once again, we
evaluate all of the arguments. It’s then time to apply the procedure. In
effect, Scheme begins by updating the dictionary so that each formal
parameter (the things that start the lambda expression) gets associated
with the corresponding argument. That is, in applying square
to 32
,
Scheme updates the dictionary to associate 32
with x
. Similarly,
in applying (lambda (first second) (- (max first second) (min first
second)))
to 7
and 11
, the interpreter associates the name first
with the value 7
and the name second
with the value 11
.
Once Scheme updates the dictionary, it evaluates the expressions in the body of the procedure, using the updated dictionary. When it reaches the end of the body, it uses the value of the last expression as the value of the procedure application.
Is the interpreter done once it’s computed the value of the last expression? No. It also needs to clean up the dictionary by removing any definitions that it added at the beginning.
1. Look at the next non-space character
2. If the next non-space character is an open parenthesis
2.1 Look at the next thing after the open paren.
2.2 If the next thing is the keyword define
2.2.1. Read the next thing after the keyword (a name to define)
2.2.2. Read the next thing after the name (an expression)
2.2.3. Evaluate the expression, giving a value
2.2.4. Add the (name . value) entry to the dictionary
2.3. Otherwise, if the next thing is the keyword lambda
2.3.1. Read until the corresponding close parenthesis.
2.3.2. The whole expression is the result.
2.4. Otherwise the next thing must be a function
2.4.1. Look up the function in the dictionary
2.4.2. Read and evaluate each argument
2.4.3. If the function is a built-in function, apply it directly
2.4.4. Otherwise, the function is a user-defined function of the
form (lambda (param_1 ... param_m) body_1 ... body_n)
2.4.4.1. Make sure that the number of arguments equals the number of
parameters (m). If not, report an error.
2.4.4.2. For each i, from 1 to m,
2.4.4.2.1 Update the dictionary to associate parameter i with
argument i,
2.4.4.3. Evaluate expressions body_1 ... body_n.
2.4.4.4. Undo the updates made to the dictionary.
2.4.4.5. The value is the value of the body_n.
3. Otherwise, see if the next non-space character is a digit (or + or -)
3.1. Read all the parts of a number
3.2. The number is the result
4. Otherwise, see if the next non-space character is a double quotation mark
(").
4.1. Read until the corresponding double quotation mark is found.
4.2. The result is a string.
5. Otherwise, see if the next non-space character is a letter
5.1. Read everything up to the next space (or close paren).
5.2. Look up the thing just read in the dictionary.
5.3. If it's not there, crash and burn
5.4. Otherwise, the result is the value found in the dictionary
6. Otherwise, we've encountered an unknown kind of value
Let’s consider an example. Suppose we have three things to evaluate:
A definition of the procedure square
, a call to that procedure on the
value 5, and a call to that procedure on the sum of 3 and 4.
> (define square (lambda (x) (* x x)))
> (square 5)
We’ll begin with the define
. What happens?
define
.square
.(lambda (x) (* x x))
.lambda
.(lambda (x) (* x x))
.square
. (lambda (x) (* x x))
) to the dictionary.As things stand, the dictionary now contains only one entry.
Name | Value |
---|---|
square |
(lambda (x) (* x x)) |
Now, we’re ready to evaluate the expression (square 5)
.
square
(lambda (x) (* x x))
5
).5
is it.So the first (and only) argument has the value 5.
(lambda (x) (* x x))
x
.(* x x)
.x
with 5
.The dictionary now has the form
Name | Value |
---|---|
square |
(lambda (x) (* x x)) |
x |
5 |
(* x x)
.
x
x
.x
in the dictionary and find 5.The first argument is 5.
x
x
.x
in the dictionary and find 5.So, the arguments are 5 and 5
The body has the value 25.
2.4.4.4. We undo the updates to the dictionary. It now has the form
Name | Value |
---|---|
square |
(lambda (x) (* x x)) |
That’s a lot of steps to compute the 25. Fortunately, computers are fast!
In the discussion of applying lambda expressions to values, we suggested that the Scheme interpreter updates the dictionary and then evaluates the body of the expression. However, Scheme does a bit more trickery to limit access to the parameters of a procedure. Hence, the claim that the interpreter simply updates the dictionary is a simplification, albeit a useful one. For most of the code you write in this class (and elsewhere), the simplification is acceptable. However, there are some cases in which the simplification breaks down. We’ll mention them when they occur.
For those who like esoteric terminology, the model we’ve given you is dynamically scoped. However, the Scheme language is actually statically scoped. For those of you who don’t like esoteric terminology, ignore the preceding two sentences. (We thought about telling you to ignore the whole paragraph, but that means you would have to ignore the instruction telling you to ignore the paragraph, which could lead to some confusion.)