.sort(s => -(s.additions + s.deletions));

    let totalAdditions = Object.values(preppedStatistics).reduce((acc, summary) => acc + summary.additions, 0);
    let totalDeletions = Object.values(preppedStatistics).reduce((acc, summary) => acc + summary.deletions, 0);
    let newRatio = totalAdditions / (totalAdditions + totalDeletions) * 100;

`Make[T]` function, which produces a reference to a canonical copy of
the value in the form of a `Handle[T]`.
Two `Handle[T]` are equal if and only if the values used to produce the
handles are equal, allowing programs to deduplicate values and reduce
their memory footprint.
Comparing two `Handle[T]` values is efficient, reducing down to a simple

 *
 * <p>This interface is now a legacy type. Use {@code java.util.function.Function} (or the
 * appropriate primitive specialization such as {@code ToIntFunction}) instead whenever possible.
 * Otherwise, at least reduce <i>explicit</i> dependencies on this type by using lambda expressions
 * or method references instead of classes, leaving your code easier to migrate in the future.
 *

 *
 * <p>This interface is now a legacy type. Use {@code java.util.function.Supplier} (or the
 * appropriate primitive specialization such as {@code IntSupplier}) instead whenever possible.
 * Otherwise, at least reduce <i>explicit</i> dependencies on this type by using lambda expressions
 * or method references instead of classes, leaving your code easier to migrate in the future.
 *

        return modelsByGa.getOrDefault(new GAKey(groupId, artifactId), Collections.emptySet()).stream()
                .filter(m -> version == null || version.equals(getVersion(m)))
                .reduce((a, b) -> {
                    throw new IllegalStateException(
                            "Multiple modules with key " + a.getGroupId() + ':' + a.getArtifactId());
                })
                .orElse(null);
    }

        Set<ModelSource> sources = mappedSources.get(groupId + ":" + artifactId);
        if (sources == null) {
            return null;
        }
        return sources.stream()
                .reduce((a, b) -> {
                    throw new IllegalStateException(String.format(
                            "No unique Source for %s:%s: %s and %s",

const regexCache = Object.create(null)

// @param {pattern}
const makeRegex = (pattern, ignoreCase) => {
    let source = regexCache[pattern]

    if (!source) {
        source = REPLACERS.reduce(
            (prev, current) => prev.replace(current[0], current[1].bind(pattern)),
            pattern
        )
        regexCache[pattern] = source
    }

    return ignoreCase

    hashed_password = hashed_password,
)
```

!!! warning
    The supporting additional functions are just to demo a possible flow of the data, but they of course are not providing any real security.

## Reduce duplication

Reducing code duplication is one of the core ideas in **FastAPI**.

`tf.expand_dims`: `dim` becomes `axis` * `tf.reduce_all`: `reduction_indices`
becomes `axis` * `tf.reduce_any`: `reduction_indices` becomes `axis` *
`tf.reduce_join`: `reduction_indices` becomes `axis` * `tf.reduce_logsumexp`:
`reduction_indices` becomes `axis` * `tf.reduce_max`: `reduction_indices`
becomes `axis` * `tf.reduce_mean`: `reduction_indices` becomes `axis` *
`tf.reduce_min`: `reduction_indices` becomes `axis` * `tf.reduce_prod`:

connecting to servers with buggy HTTP/2 implementations.
These kinds of changes are unavoidable and
[permitted by the Go 1 compatibility rules](/doc/go1compat).
Even so, Go provides a mechanism called GODEBUG to
reduce the impact such changes have on Go developers
using newer toolchains to compile old code.

A GODEBUG setting is a `key=value` pair
that controls the execution of certain parts of a Go program.