- Stage: 2
- Champions: J. S. Choi, James DiGioia, Ron Buckton, Tab Atkins-Bittner, [list incomplete]
- Former champions: Daniel Ehrenberg
- Specification
- Contributing guidelines
- Proposal history
- Babel plugin: Implemented in v7.15. See Babel documentation.
(This document uses %
as the placeholder token for the topic reference.
This will almost certainly not be the final choice;
see the token bikeshedding discussion for details.)
In the State of JS 2020 survey, the fourth top answer to “What do you feel is currently missing from JavaScript?” was a pipe operator. Why?
When we perform consecutive operations (e.g., function calls) on a value in JavaScript, there are currently two fundamental styles:
- passing the value as an argument to the operation (nesting the operations if there are multiple operations),
- or calling the function as a method on the value (chaining more method calls if there are multiple methods).
That is, three(two(one(value))) versus value.one().two().three().
However, these styles differ much in readability, fluency, and applicability.
The first style, nesting, is generally applicable –
it works for any sequence of operations:
function calls, arithmetic, array/object literals, await and yield, etc.
However, nesting is difficult to read when it becomes deep: the flow of execution moves right to left, rather than the left-to-right reading of normal code. If there are multiple arguments at some levels, reading even bounces back and forth: our eyes must jump left to find a function name, and then they must jump right to find additional arguments. Additionally, editing the code afterwards can be fraught: we must find the correct place to insert new arguments among many nested parentheses.
Real-world example
Consider this real-world code from React.
console.log(
chalk.dim(
`$ ${Object.keys(envars)
.map(envar =>
`${envar}=${envars[envar]}`)
.join(' ')
}`,
'node',
args.join(' ')));This real-world code is made of deeply nested expressions. In order to read its flow of data, a human’s eyes must first:
-
Find the initial data (the innermost expression,
envars). -
And then scan back and forth repeatedly from inside out for each data transformation, each one either an easily missed prefix operator on the left or a suffix operators on the right:
Object.keys()(left side),.map()(right side),.join()(right side),- A template literal (both sides),
chalk.dim()(left side), thenconsole.log()(left side).
As a result of deeply nesting many expressions (some of which use prefix operators, some of which use postfix operators, and some of which use circumfix operators), we must check both left and right sides to find the head of each expression.
The second style, method chaining, is only usable if the value has the functions designated as methods for its class. This limits its applicability. But when it applies, thanks to its postfix structure, it is generally more usable and easier to read and write. Code execution flows left to right. Deeply nested expressions are untangled. All arguments for a function call are grouped with the function’s name. And editing the code later to insert or delete more method calls is trivial, since we would just have to put our cursor in one spot, then start typing or deleting one contiguous run of characters.
Indeed, the benefits of method chaining are so attractive that some popular libraries contort their code structure specifically to allow more method chaining. The most prominent example is jQuery, which still remains the most popular JS library in the world. jQuery’s core design is a single über-object with dozens of methods on it, all of which return the same object type so that we can continue chaining. There is even a name for this style of programming: fluent interfaces.
Unfortunately, for all of its fluency,
method chaining alone cannot accommodate JavaScript’s other syntaxes:
function calls, arithmetic, array/object literals, await and yield, etc.
In this way, method chaining remains limited in its applicability.
The pipe operator attempts to marry the convenience and ease of method chaining with the wide applicability of expression nesting.
The general structure of all the pipe operators is
value |> e1 |> e2 |> e3,
where e1, e2, e3
are all expressions that take consecutive values as their parameters.
The |> operator then does some degree of magic to “pipe” value
from the lefthand side into the righthand side.
Real-world example, continued
Continuing this deeply nested real-world code from React:
console.log(
chalk.dim(
`$ ${Object.keys(envars)
.map(envar =>
`${envar}=${envars[envar]}`)
.join(' ')
}`,
'node',
args.join(' ')));…we can untangle it as such using a pipe operator
and a placeholder token (%) standing in for the previous operation’s value:
Object.keys(envars)
.map(envar => `${envar}=${envars[envar]}`)
.join(' ')
|> `$ ${%}`
|> chalk.dim(%, 'node', args.join(' '))
|> console.log(%);Now, the human reader can rapidly find the initial data
(what had been the most innermost expression, envars),
then linearly read, from left to right,
each transformation on the data.
One could argue that using temporary variables should be the only way to untangle deeply nested code. Explicitly naming every step’s variable causes something similar to method chaining to happen, with similar benefits to reading and writing code.
Real-world example, continued
For example, using our previous modified real-world example from React:
Object.keys(envars)
.map(envar => `${envar}=${envars[envar]}`)
.join(' ')
|> `$ ${%}`
|> chalk.dim(%, 'node', args.join(' '))
|> console.log(%);…a version using temporary variables would look like this:
const envarString = Object.keys(envars)
.map(envar => `${envar}=${envars[envar]}`)
.join(' ');
const consoleText = `$ ${envarString}`;
const coloredConsoleText = chalk.dim(consoleText, 'node', args.join(' '));
console.log(coloredConsoleText);But there are reasons why we encounter deeply nested expressions in each other’s code all the time in the real world, rather than lines of temporary variables. And there are reasons why the method-chain-based fluent interfaces of jQuery, Mocha, and so on are still popular.
It is often simply too tedious and wordy to write code with a long sequence of temporary, single-use variables. It is arguably even tedious and visually noisy for a human to read, too.
If naming is one of the most difficult tasks in programming, then programmers will inevitably avoid naming variables when they perceive their benefit to be relatively small.
One could argue that using a single mutable variable with a short name would reduce the wordiness of temporary variables, achieving similar results as with the pipe operator.
Real-world example, continued
For example, our previous modified real-world example from React could be re-written like this:
let _;
_ = Object.keys(envars)
.map(envar => `${envar}=${envars[envar]}`)
.join(' ');
_ = `$ ${_}`;
_ = chalk.dim(_, 'node', args.join(' '));
_ = console.log(_);But code like this is not common in real-world code. One reason for this is that mutable variables can change unexpectedly, causing silent bugs that are hard to find. For example, the variable might be accidentally referenced in a closure. Or it might be mistakenly reassigned within an expression.
Example code
// setup
function one () { return 1; }
function double (x) { return x * 2; }
let _;
_ = one(); // _ is now 1.
_ = double(_); // _ is now 2.
_ = Promise.resolve().then(() =>
// This does *not* print 2!
// It prints 1, because `_` is reassigned downstream.
console.log(_));
// _ becomes 1 before the promise callback.
_ = one(_);This issue would not happen with the pipe operator. The topic token cannot be reassigned, and code outside of each step cannot change its binding.
let _;
_ = one()
|> double(%)
|> Promise.resolve().then(() =>
// This prints 2, as intended.
console.log(%));
_ = one();For this reason, code with mutable variables is also harder to read. To determine what the variable represents at any given point, you must to search the entire preceding scope for places where it is reassigned.
The topic reference of a pipeline, on the other hand, has a limited lexical scope, and its binding is immutable within its scope. It cannot be accidentally reassigned, and it can be safely used in closures.
Although the topic value also changes with each pipeline step, we only scan the previous step of the pipeline to make sense of it, leading to code that is easier to read.
Another benefit of the pipe operator over sequences of assignment statements (whether with mutable or with immutable temporary variables) is that they are expressions.
Pipe expressions are expressions that can be directly returned, assigned to a variable, or used in contexts such as JSX expressions.
Using temporary variables, on the other hand, requires sequences of statements.
Examples
| Pipelines | Temporary Variables |
|---|---|
const envVarFormat = vars =>
Object.keys(vars)
.map(var => `${var}=${vars[var]}`)
.join(' ')
|> chalk.dim(%, 'node', args.join(' ')); |
const envVarFormat = (vars) => {
let _ = Object.keys(vars);
_ = _.map(var => `${var}=${vars[var]}`);
_ = _.join(' ');
return chalk.dim(_, 'node', args.join(' '));
} |
// This example uses JSX.
return (
<ul>
{
values
|> Object.keys(%)
|> [...Array.from(new Set(%))]
|> %.map(envar => (
<li onClick={
() => doStuff(values)
}>{envar}</li>
))
}
</ul>
); |
// This example uses JSX.
let _ = values;
_= Object.keys(_);
_= [...Array.from(new Set(_))];
_= _.map(envar => (
<li onClick={
() => doStuff(values)
}>{envar}</li>
));
return (
<ul>{_}</ul>
); |
There were two competing proposals for the pipe operator: Hack pipes and F# pipes. (Before that, there was a third proposal for a “smart mix” of the first two proposals, but it has been withdrawn, since its syntax is strictly a superset of one of the proposals’.)
The two pipe proposals just differ slightly on what the “magic” is,
when we spell our code when using |>.
Both proposals reuse existing language concepts: Hack pipes are based on the concept of the expression, while F# pipes are based on the concept of the unary function.
Piping expressions and piping unary functions correspondingly have small and nearly symmetrical trade-offs.
In the Hack language’s pipe syntax,
the righthand side of the pipe is an expression containing a special placeholder,
which is evaluated with the placeholder bound to the result of evaluating the lefthand side's expression.
That is, we write value |> one(%) |> two(%) |> three(%)
to pipe value through the three functions.
Pro: The righthand side can be any expression, and the placeholder can go anywhere any normal variable identifier could go, so we can pipe to any code we want without any special rules:
value |> foo(%)for unary function calls,value |> foo(1, %)for n-ary function calls,value |> %.foo()for method calls,value |> % + 1for arithmetic,value |> [%, 0]for array literals,value |> {foo: %}for object literals,value |> `${%}`for template literals,value |> new Foo(%)for constructing objects,value |> await %for awaiting promises,value |> (yield %)for yielding generator values,value |> import(%)for calling function-like keywords,- etc.
Con: Piping through unary functions
is slightly more verbose with Hack pipes than with F# pipes.
This includes unary functions
that were created by function-currying libraries like Ramda,
as well as unary arrow functions
that perform complex destructuring on their arguments:
Hack pipes would be slightly more verbose
with an explicit function call suffix (%).
(Complex destructuring of the topic value will be easier when do expressions progress, as you will then be able to do variable assignment/destructuring inside of a pipe body.)
In the F# language’s pipe syntax,
the righthand side of the pipe is an expression
that must evaluate into a unary function,
which is then tacitly called
with the lefthand side’s value as its sole argument.
That is, we write value |> one |> two |> three to pipe value
through the three functions.
left |> right becomes right(left).
This is called tacit programming or point-free style.
Real-world example, continued
For example, using our previous modified real-world example from React:
Object.keys(envars)
.map(envar => `${envar}=${envars[envar]}`)
.join(' ')
|> `$ ${%}`
|> chalk.dim(%, 'node', args.join(' '))
|> console.log(%);…a version using F# pipes instead of Hack pipes would look like this:
Object.keys(envars)
.map(envar => `${envar}=${envars[envar]}`)
.join(' ')
|> x=> `$ ${x}`
|> x=> chalk.dim(x, 'node', args.join(' '))
|> console.log;Pro: The restriction that the righthand side must resolve to a unary function lets us write very terse pipes when the operation we want to perform is a unary function call:
value |> foofor unary function calls.
This includes unary functions
that were created by function-currying libraries like Ramda,
as well as unary arrow functions
that perform complex destructuring on their arguments:
F# pipes would be slightly less verbose
with an implicit function call (no (%)).
Con: The restriction means that any operations that are performed by other syntax must be made slightly more verbose by wrapping the operation in a unary arrow function:
value |> x=> x.foo()for method calls,value |> x=> x + 1for arithmetic,value |> x=> [x, 0]for array literals,value |> x=> ({foo: x})for object literals,value |> x=> `${x}`for template literals,value |> x=> new Foo(x)for constructing objects,value |> x=> import(x)for calling function-like keywords,- etc.
Even calling named functions requires wrapping when we need to pass more than one argument:
value |> x=> foo(1, x)for n-ary function calls.
Con: The await and yield operations are scoped
to their containing function,
and thus cannot be handled by unary functions alone.
If we want to integrate them into a pipe expression,
await and yield must be handled as special syntax cases:
value |> awaitfor awaiting promises, andvalue |> yieldfor yielding generator values.
Both Hack pipes and F# pipes respectively impose
a small syntax tax on different expressions:
Hack pipes slightly tax only unary function calls, and
F# pipes slightly tax all expressions except unary function calls.
In both proposals, the syntax tax per taxed expression is small
(both (%) and x=> are only three characters).
However, the tax is multiplied by the prevalence
of its respectively taxed expressions.
It therefore might make sense
to impose a tax on whichever expressions are less common
and to optimize in favor of whichever expressions are more common.
Unary function calls are in general less common than all expressions except unary functions. In particular, method calling and n-ary function calling will always be popular; in general frequency, unary function calling is equal to or exceeded by those two cases alone – let alone by other ubiquitous syntaxes such as array literals, object literals, and arithmetic operations. This explainer contains several real-world examples of this difference in prevalence.
Furthermore, several other proposed new syntaxes, such as extension calling, do expressions, and record/tuple literals, will also likely become pervasive in the future. Likewise, arithmetic operations would also become even more common if TC39 standardizes operator overloading. Untangling these future syntaxes’ expressions would be more fluent with Hack pipes compared to F# pipes.
The syntax tax of Hack pipes on unary function calls
(i.e., the (%) to invoke the righthand side’s unary function)
is not a special case:
it simply is explicitly writing ordinary code,
in the way we normally would without a pipe.
On the other hand, F# pipes require us to distinguish between “code that resolves to an unary function” versus “any other expression” – and to remember to add the arrow-function wrapper around the latter case.
For example, with Hack pipes, value |> someFunction + 1
is invalid syntax and will fail early.
There is no need to recognize that someFunction + 1
will not evaluate into a unary function.
But with F# pipes, value |> someFunction + 1 is still valid syntax –
it’ll just fail late at runtime,
because someFunction + 1 isn’t callable.
The pipe champion group has presented F# pipes for Stage 2 to TC39 twice. It was unsuccessful in advancing to Stage 2 both times. Both F# pipes (and partial function application (PFA)) have run into strong pushback from multiple other TC39 representatives due to various concerns. These have included:
- Memory performance concerns (e.g., especially from browser-engine implementors),
- Syntax concerns about
await. - Concerns about encouraging ecosystem bifurcation/forking, etc.
This pushback has occurred from outside the pipe champion group. See HISTORY.md for more information.
It is the pipe champion group’s belief that any pipe operator is better than none, in order to easily linearize deeply nested expressions without resorting to named variables. Many members of the champion group believe that Hack pipes are slightly better than F# pipes, and some members of the champion group believe that F# pipes are slightly better than Hack pipes. But everyone in the champion group agrees that F# pipes have met with far too much resistance to be able to pass TC39 in the foreseeable future.
To emphasize, it is likely that an attempt to switch from Hack pipes back to F# pipes will result in TC39 never agreeing to any pipes at all. PFA syntax is similarly facing an uphill battle in TC39 (see HISTORY.md). Many members of the pipe champion group think this is unfortunate, and they are willing to fight again later for an F#-pipe split mix and PFA syntax. But there are quite a few representatives (including browser-engine implementers) outside of the Pipe Champion Group who are generally against encouraging tacit programming (and PFA syntax), regardless of Hack pipes.
(A formal draft specification is available.)
The topic reference % is a nullary operator.
It acts as a placeholder for a topic value,
and it is lexically scoped and immutable.
% is not a final choice
(The precise token for the topic reference is not final.
% could instead be ^, or many other tokens.
We plan to bikeshed what actual token to use
before advancing to Stage 3.
However, % seems to be the least syntactically problematic,
and it also resembles the placeholders of printf format strings
and Clojure’s #(%) function literals.)
The pipe operator |> is an infix operator
that forms a pipe expression (also called a pipeline).
It evaluates its lefthand side (the pipe head or pipe input),
immutably binds the resulting value (the topic value) to the topic reference,
then evaluates its righthand side (the pipe body) with that binding.
The resulting value of the righthand side
becomes the whole pipe expression’s final value (the pipe output).
The pipe operator’s precedence is the same as:
- the function arrow
=>; - the assignment operators
=,+=, etc.; - the generator operators
yieldandyield *;
It is tighter than only the comma operator ,.
It is looser than all other operators.
For example, v => v |> % == null |> foo(%, 0)
would group into v => (v |> (% == null) |> foo(%, 0)),
which in turn is equivalent to v => foo(v == null, 0).
A pipe body must use its topic value at least once.
For example, value |> foo + 1 is invalid syntax,
because its body does not contain a topic reference.
This design is because omission of the topic reference
from a pipe expression’s body
is almost certainly an accidental programmer error.
Likewise, a topic reference must be contained in a pipe body. Using a topic reference outside of a pipe body is also invalid syntax.
To prevent confusing grouping,
it is invalid syntax to use other operators that have similar precedence
(i.e., the arrow =>, the ternary conditional operator ? :,
the assignment operators, and the yield operator)
as a pipe head or body.
When using |> with these operators, we must use parentheses
to explicitly indicate what grouping is correct.
For example, a |> b ? % : c |> %.d is invalid syntax;
it should be corrected to either a |> (b ? % : c) |> %.d
or a |> (b ? % : c |> %.d).
Lastly, topic bindings inside dynamically compiled code
(e.g., with eval or new Function)
cannot be used outside of that code.
For example, v |> eval('% + 1') will throw a syntax error
when the eval expression is evaluated at runtime.
There are no other special rules.
A natural result of these rules is that,
if we need to interpose a side effect
in the middle of a chain of pipe expressions,
without modifying the data being piped through,
then we could use a comma expression,
such as with value |> (sideEffect(), %).
As usual, the comma expression will evaluate to its righthand side %,
essentially passing through the topic value without modifying it.
This is especially useful for quick debugging: value |> (console.log(%), %).
The only changes to the original examples were dedentation and removal of comments.
From jquery/build/tasks/sourceMap.js:
// Status quo
var minLoc = Object.keys( grunt.config( "uglify.all.files" ) )[ 0 ];
// With pipes
var minLoc = grunt.config('uglify.all.files') |> Object.keys(%)[0];From node/deps/npm/lib/unpublish.js:
// Status quo
const json = await npmFetch.json(npa(pkgs[0]).escapedName, opts);
// With pipes
const json = pkgs[0] |> npa(%).escapedName |> await npmFetch.json(%, opts);From underscore.js:
// Status quo
return filter(obj, negate(cb(predicate)), context);
// With pipes
return cb(predicate) |> _.negate(%) |> _.filter(obj, %, context);From ramda.js.
// Status quo
return xf['@@transducer/result'](obj[methodName](bind(xf['@@transducer/step'], xf), acc));
// With pipes
return xf
|> bind(%['@@transducer/step'], %)
|> obj[methodName](%, acc)
|> xf['@@transducer/result'](%);From ramda.js.
// Status quo
try {
return tryer.apply(this, arguments);
} catch (e) {
return catcher.apply(this, _concat([e], arguments));
}
// With pipes: Note the visual parallelism between the two clauses.
try {
return arguments
|> tryer.apply(this, %);
} catch (e) {
return arguments
|> _concat([e], %)
|> catcher.apply(this, %);
}From express/lib/response.js.
// Status quo
return this.set('Link', link + Object.keys(links).map(function(rel){
return '<' + links[rel] + '>; rel="' + rel + '"';
}).join(', '));
// With pipes
return links
|> Object.keys(%).map(function (rel) {
return '<' + links[rel] + '>; rel="' + rel + '"';
})
|> link + %.join(', ')
|> this.set('Link', %);From react/scripts/jest/jest-cli.js.
// Status quo
console.log(
chalk.dim(
`$ ${Object.keys(envars)
.map(envar => `${envar}=${envars[envar]}`)
.join(' ')}`,
'node',
args.join(' ')
)
);
// With pipes
Object.keys(envars)
.map(envar => `${envar}=${envars[envar]}`)
.join(' ')
|> `$ ${%}`
|> chalk.dim(%, 'node', args.join(' '))
|> console.log(%);From ramda.js.
// Status quo
return _reduce(xf(typeof fn === 'function' ? _xwrap(fn) : fn), acc, list);
// With pipes
return fn
|> (typeof % === 'function' ? _xwrap(%) : %)
|> xf(%)
|> _reduce(%, acc, list);From jquery/src/core/init.js.
// Status quo
jQuery.merge( this, jQuery.parseHTML(
match[ 1 ],
context && context.nodeType ? context.ownerDocument || context : document,
true
) );
// With pipes
context
|> (% && %.nodeType ? %.ownerDocument || % : document)
|> jQuery.parseHTML(match[1], %, true)
|> jQuery.merge(%);Hack pipes can and would coexist with the Function helpers proposal,
including its pipe and flow functions.
These simple (and commonly downloaded) convenience functions
manipulate unary functions without extra syntax.
TC39 has rejected the F# pipe operator twice.
Given this reality, TC39 is considerably more likely to pass
pipe and flow helper functions than a similar syntactic operator.
Standardized pipe and flow convenience functions
may also obviate some of the need for a F#-pipe infix operator.
(They would not preclude standardizing an equivalent operator later.
For example, TC39 standardized binary ** even when Math.pow existed.)
Hack pipes can coexist with a syntax for partial function application (PFA). There are two approaches with which they may coexist.
The first approach is with an eagerly evaluated PFA syntax,
which has already been proposed in proposal-partial-application.
This eager PFA syntax would add an …~(…) operator.
The operator’s right-hand side would be a list of arguments,
each of which is an ordinary expression or a ? placeholder.
Each consecutive ? placeholder would represent another parameter.
Ordinary expressions would be evaluated before the function is created.
For example, f~(g(), ?, h(), ?) would evaluate f, then g(), then h(),
and then it would create a partially applied version of f with two arguments.
An optional number after ? placeholder
would override the parameter’s position.
For example, f~(?1, ?0) would have two parameters but would switch them when calling f.
The second approach is with a lazily evaluated syntax.
This could be handled with an extension to Hack pipes,
with a syntax further inspired by
Clojure’s #(%1 %2) function literals.
It would do so by combining the Hack pipe |>
with the arrow function =>
into a pipe-function operator +>,
which would use the same general rules as |>.
+> would be a prefix operator that creates a new function,
which in turn binds its argument(s) to topic references.
Non-unary functions would be created
by including topic references with numbers (%0, %1, %2, etc.) or ....
%0 (equivalent to plain %) would be bound to the zeroth argument,
%1 would be bound to the next argument, and so on.
%... would be bound to an array of rest arguments.
And just as with |>, +> would require its body
to contain at least one topic reference
in order to be syntactically valid.
| Eager PFA | Pipe functions |
|---|---|
a.map(f~(?, 0)) |
a.map(+> f(%, 0)) |
a.map(f~(?, ?, 0)) |
a.map(+> f(%0, %1, 0)) |
a.map(x=> x + 1) |
a.map(+> % + 1) |
a.map(x=> x + x) |
a.map(+> % + %) |
a.map(x=> f(x, x)) |
a.map(+> f(%, %)) |
In contrast to the eagerly evaluated PFA syntax, topic functions would lazily evaluate its arguments, just like how an arrow function would.
For example, +> f(g(), %0, h(), %1) would evaluate f,
and then it would create an arrow function that closes over g and h.
The created function would not evaluate g() or h()
until the every time the created function is called.
No matter the approach taken, Hack pipes could coexist with PFA.
Despite sharing the word “pipe” in their name, the pipe operator and the eventual-send proposal’s remote-object pipelines are orthogonal and independent. They can coexist and even work together.
const fileP = E(
E(target).openDirectory(dirName)
).openFile(fileName);
const fileP = target
|> E(%).openDirectory(dirName)
|> E(%).openFile(fileName);Many if, catch, and for statements could become pithier
if they gained “pipe syntax” that bound the topic reference.
if () |> would bind its condition value to %,
catch |> would bind its caught error to %,
and for (of) |> would consecutively bind each of its iterator’s values to %.
| Status quo | Hack-pipe statement syntax |
|---|---|
const c = f(); if (c) g(c); |
if (f()) |> g(%); |
catch (e) f(e); |
catch |> f(%); |
for (const v of f()) g(v); |
for (f()) |> g(%); |
A short-circuiting optional-pipe operator |?> could also be useful,
much in the way ?. is useful for optional method calls.
For example, value |> (% == null ? % : await foo(%) |> (% == null ? % : % + 1))
would be equivalent to value |?> await foo(%) |?> % + 1.
Syntax for tacit unary function application – that is, the F# pipe operator – has been rejected twice by TC39. However, they could still eventually be added to the language in two ways.
First, it can be added as a convenience function Function.pipe.
This is what the function-helpers proposal proposes.
Function.pipe may obviate much of the need for an F#-pipe operator,
while still not closing off the possibility of an F#-pipe operator.
Secondly, it can be added as another pipe operator |>> –
similarly to how Clojure has multiple pipe macros
->, ->>, and as->.
For example, value |> % + 1 |>> f |> g(%, 0)
would mean value |> % + 1 |> f(%) |> g(%, 0).
There was an informal proposal for such a split mix of two pipe operators, which was set aside in favor of single-operator proposals. This split mix might return as a proposal after Hack pipes.
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