# Referential transparency

Referential transparency and referential opacity are properties of parts of computer programs. An expression is said to be referentially transparent if it can be replaced with its corresponding value without changing the program's behavior.[1] As a result, evaluating a referentially transparent function gives the same value for same arguments. Such functions are called pure functions. An expression that is not referentially transparent is called referentially opaque.

In mathematics all function applications are referentially transparent, by the definition of what constitutes a mathematical function. However, this is not always the case in programming, where the terms procedure and method are used to avoid misleading connotations. In functional programming only referentially transparent functions are considered. Some programming languages provide means to guarantee referential transparency. Some functional programming languages enforce referential transparency for all functions.

The importance of referential transparency is that it allows the programmer and the compiler to reason about program behavior as a rewrite system. This can help in proving correctness, simplifying an algorithm, assisting in modifying code without breaking it, or optimizing code by means of memoization, common subexpression elimination, lazy evaluation, or parallelization.

As referential transparency requires the same results for any given set of inputs at any point in time, a referentially transparent expression is therefore deterministic.

## History

The concept (although not the term) seems to have originated in Alfred North Whitehead and Bertrand Russel's Principia Mathematica (1910–13). It was adopted in analytical philosophy by Willard Van Orman Quine in Word and Object (1960):

A mode of containment φ is referentially transparent if, whenever an occurrence of a singular term t is purely referential in a term or sentence ψ(t), it is purely referential also in the containing term or sentence φ(ψ(t)).

The term appeared in its contemporary usage, in the discussion of variables in programming languages, in Christopher Strachey's seminal set of lecture notes Fundamental Concepts in Programming Languages (1967). The lecture notes referenced Quine's Word and Object in the bibliography.

## Examples and counterexamples

If all functions involved in the expression are pure functions, then the expression is referentially transparent. Also, some impure functions can be included in the expression if their values are discarded and their side effects are insignificant.[citation needed]

Consider a function that returns the input from some source. In pseudocode, a call to this function might be `GetInput(Source)` where `Source` might identify a particular disk file, the keyboard, etc. Even with identical values of `Source`, the successive return values will be different. Therefore, function `GetInput()` is neither deterministic nor referentially transparent.

A more subtle example is that of a function that has a free variable, i.e., depends on some input that is not explicitly passed as a parameter. This is then resolved according to name binding rules to a non-local variable, such as a global variable, a variable in the current execution environment (for dynamic binding), or a variable in a closure (for static binding). Since this variable can be altered without changing the values passed as parameter, the results of subsequent calls to the function may differ even if the parameters are identical. However, in pure functional programming, destructive assignment is not allowed, and thus if the free variable is statically bound to a value, the function is still referentially transparent, as neither the non-local variable nor its value can change, due to static binding and immutability, respectively.

Arithmetic operations are referentially transparent: `5*5` can be replaced by `25`, for instance. In fact, all functions in the mathematical sense are referentially transparent: `sin(x)` is transparent, since it will always give the same result for each particular `x`.

Assignments are not transparent. For instance, the C expression `x = x + 1` changes the value assigned to the variable `x`. Assuming `x` initially has value `10`, two consecutive evaluations of the expression yield, respectively, `11` and `12`. Clearly, replacing `x = x + 1` with either `11` or `12` gives a program with different meaning, and so the expression is not referentially transparent. However, calling a function such as `int plusone(int x) {return x+1;}` is transparent, as it will not implicitly change the input x and thus has no such side effects.

`today()` is not transparent, as if you evaluate it and replace it by its value (say, "Jan 1, 2001"), you don't get the same result as you will if you run it tomorrow. This is because it depends on a state (the time).

In languages with no side-effects, like Haskell, we can substitute equals for equals because `f(x) = f(x)` for every value of x. This does not hold for languages with side-effects.

## Contrast to imperative programming

If the substitution of an expression with its value is valid only at a certain point in the execution of the program, then the expression is not referentially transparent. The definition and ordering of these sequence points are the theoretical foundation of imperative programming, and part of the semantics of an imperative programming language.

However, because a referentially transparent expression can be evaluated at any time, it is not necessary to define sequence points nor any guarantee of the order of evaluation at all. Programming done without these considerations is called purely functional programming.

One advantage of writing code in a referentially transparent style is that given an intelligent compiler, static code analysis is easier and better code-improving transformations are possible automatically. For example, when programming in C, there will be a performance penalty for including a call to an expensive function inside a loop, even if the function call could be moved outside of the loop without changing the results of the program. The programmer would be forced to perform manual code motion of the call, possibly at the expense of source code readability. However, if the compiler is able to determine that the function call is referentially transparent, it can perform this transformation automatically.

The primary disadvantage of languages that enforce referential transparency is that they make the expression of operations that naturally fit a sequence-of-steps imperative programming style more awkward and less concise. Such languages often incorporate mechanisms to make these tasks easier while retaining the purely functional quality of the language, such as definite clause grammars and monads.

## Another example

As an example, let's use two functions, one which is referentially opaque, and the other which is referentially transparent:

``` int globalValue = 0;

int rq(int x)
{
globalValue++;
return x + globalValue;
}

int rt(int x)
{
return x + 1;
}
```

The function `rt` is referentially transparent, which means that `rt(x) = rt(y)` if `x = y`. For instance, `rt(6) = 6 + 1 = 7, rt(4) = 4 + 1 = 5`, and so on. However, we can't say any such thing for `rq` because it uses a global variable that it modifies.

The referential opacity of `rq` makes reasoning about programs more difficult. For example, say we wish to reason about the following statement:

```integer p = rq(x) + rq(y) * (rq(x) - rq(x));
```

One may be tempted to simplify this statement to:

```integer p = rq(x) + rq(y) * (0);
integer p = rq(x) + 0;
integer p = rq(x);
```

However, this will not work for `rq()` because each occurrence of `rq(x)` evaluates to a different value. Remember that the return value of `rq` is based on a global value that isn't passed in and which gets modified on each call to `rq`. This means that mathematical identities such as ${\displaystyle x-x=0}$ no longer hold.

Such mathematical identities will hold for referentially transparent functions such as `rt`.

However, a more sophisticated analysis can be used to simplify the statement to:

```integer a = globalValue; integer p = x + a + 1 + (y + a + 2) * (x + a + 3 - (x + a + 4)); globalValue = globalValue + 4;
integer a = globalValue; integer p = x + a + 1 + (y + a + 2) * (x + a + 3 - x - a - 4)); globalValue = globalValue + 4;
integer a = globalValue; integer p = x + a + 1 + (y + a + 2) * -1; globalValue = globalValue + 4;
integer a = globalValue; integer p = x + a + 1 - y - a - 2; globalValue = globalValue + 4;
integer p = x - y - 1; globalValue = globalValue + 4;
```

This takes more steps and requires a degree of insight into the code infeasible for compiler optimization.

Therefore, referential transparency allows us to reason about our code which will lead to more robust programs, the possibility of finding bugs that we couldn't hope to find by testing, and the possibility of seeing opportunities for optimization.