Interface UnmodIterable<T>

    • Method Detail

      • emptyUnmodIterable

        @NotNull
        static <T> @NotNull UnmodIterable<T> emptyUnmodIterable()
        We only ever need one empty iterable in memory.
      • hash

        static int hash​(@NotNull
                        @NotNull Iterable<?> is)
        This is correct, but O(n). It also works regardless of the order of the items because a + b = b + a, even when an overflow occurs.
      • toString

        @NotNull
        static @NotNull String toString​(@NotNull
                                        @NotNull String name,
                                        @NotNull
                                        @NotNull Iterable<?> iterable)
        Computes a reasonable to-string.
      • iterator

        @NotNull
        @NotNull UnmodIterator<T> iterator()
        A one-time use, mutable, not-thread-safe way to get each value of the underling collection in turn. I experimented with various thread-safe alternatives, but the JVM is optimized around iterators so this is the lowest common denominator of collection iteration, even though iterators are inherently mutable.
        Specified by:
        iterator in interface Iterable<T>
      • concat

        @NotNull
        default @NotNull UnmodIterable<T> concat​(@Nullable
                                                 @Nullable Iterable<? extends T> list)
        Add items to the end of this Transformable (precat() adds to the beginning)
        Specified by:
        concat in interface Transformable<T>
        Parameters:
        list - the items to add
        Returns:
        a new Transformable with the items added.
      • precat

        @NotNull
        default @NotNull UnmodIterable<T> precat​(@Nullable
                                                 @Nullable Iterable<? extends T> list)
        Add items to the beginning of this Transformable ("precat" is a PREpending version of conCAT).
        Specified by:
        precat in interface Transformable<T>
        Parameters:
        list - the items to add
        Returns:
        a new Transformable with the items added.
      • drop

        @NotNull
        default @NotNull UnmodIterable<T> drop​(long n)
        Ignore the first n items and return only those that come after. The Xform API is designed to allow dropping items with a single pointer addition if the data source is a List, but that feature is not implemented yet. For best results, drop as early in your chain of functions as practical.
        Specified by:
        drop in interface Transformable<T>
        Parameters:
        n - the number of items at the beginning of this Transformable to ignore
        Returns:
        a Transformable with the specified number of items ignored.
      • dropWhile

        @NotNull
        default @NotNull UnmodIterable<T> dropWhile​(@NotNull
                                                    @NotNull Fn1<? super T,​Boolean> predicate)
        Ignore leading items until the given predicate returns false.
        Specified by:
        dropWhile in interface Transformable<T>
        Parameters:
        predicate - the predicate (test function)
        Returns:
        a Transformable with the matching leading items ignored.
      • fold

        default <B> B fold​(B ident,
                           @NotNull
                           @NotNull Fn2<? super B,​? super T,​B> reducer)
        Apply the function to each item, accumulating the result in u. Other transformations can be implemented with just this one function, but it is clearer (and allows lazy evaluation) to use the most specific transformations that meet your needs. Still, sometimes you need the flexibility fold provides. This is techincally a fold-left because it processes items in order* unless those items are a linked list. Fold is one of the two higher-order functions that can produce more output items than input items (when u is a collection). FlatMap is the other, but fold is eager while flatMap is lazy. Fold can also produce a single (scalar) value. In that form, it is often called reduce().
        Specified by:
        fold in interface Transformable<T>
        Parameters:
        ident - the accumulator and starting value. This will be passed to the function on the first iteration to be combined with the first member of the underlying data source. For some operations you'll need to pass an identity, e.g. for a sum, pass 0, for a product, pass 1 as this parameter.
        reducer - combines each value in the list with the result so far. The initial result is u.
        Returns:
        an eagerly evaluated result which could be a single value like a sum, or a collection.
      • foldUntil

        @NotNull
        default <G,​B> @NotNull Or<G,​B> foldUntil​(G accum,
                                                             @Nullable
                                                             @Nullable Fn2<? super G,​? super T,​B> terminator,
                                                             @NotNull
                                                             @NotNull Fn2<? super G,​? super T,​G> reducer)
        Normally you want to terminate by doing a take(), drop(), or takeWhile() before you get to the fold, but if you need to terminate based on the complete result so far, you can provide your own termination condition to this version of fold(). This function can do anything a loop can do. One use case is to accumulate a map and stop if it finds a duplicate key, before overwriting that element in the map. It could then return the map so far, an error, or whatever you like.
        Specified by:
        foldUntil in interface Transformable<T>
        Parameters:
        accum - the accumulator and starting value. This will be passed to the function on the first iteration to be combined with the first member of the underlying data source. For some operations you'll need to pass an identity, e.g. for a sum, pass 0, for a product, pass 1 as this parameter.
        terminator - return null to continue processing. Return non-null to terminate the foldUntil and return Or.bad of this value. This function is called at the beginning of each "loop", thus it's first called with the original value of accum and the first item to process. Returning non-null immediately will prevent the reducer from ever being called.
        reducer - combines each value in the list with the result so far. The initial result is u.
        Returns:
        an Or where the Or.good() is an eagerly evaluated result and Or.bad() is whatever terminateWhen returned.
      • filter

        @NotNull
        default @NotNull UnmodIterable<T> filter​(@NotNull
                                                 @NotNull Fn1<? super T,​Boolean> f)
        Return only the items for which the given predicate returns true.
        Specified by:
        filter in interface Transformable<T>
        Parameters:
        f - a function that returns true for items to keep, false for items to drop
        Returns:
        a Transformable of only the filtered items.
      • whereNonNull

        @NotNull
        default @NotNull UnmodIterable<T> whereNonNull()
        Return only the items which are non-null
        Specified by:
        whereNonNull in interface Transformable<T>
        Returns:
        a Transformable of only the non-null items.
      • flatMap

        @NotNull
        default <B> @NotNull UnmodIterable<B> flatMap​(@NotNull
                                                      @NotNull Fn1<? super T,​Iterable<B>> f)
        Transform each item into zero or more new items using the given function. One of the two higher-order functions that can produce more output items than input items. fold is the other, but flatMap is lazy while fold is eager.
        Specified by:
        flatMap in interface Transformable<T>
        Parameters:
        f - yields a Transformable of 0 or more results for each input item.
        Returns:
        a lazily evaluated collection which is expected to be larger than the input collection. For a collection that's the same size, map() is more efficient. If the expected return is smaller, use filter followed by map if possible, or vice versa if not.
      • map

        @NotNull
        default <B> @NotNull UnmodIterable<B> map​(@NotNull
                                                  @NotNull Fn1<? super T,​? extends B> f)
        Transform each item into exactly one new item using the given function.
        Specified by:
        map in interface Transformable<T>
        Parameters:
        f - a function that returns a new value for any value in the input
        Returns:
        a Transformable of the same size as the input (may contain duplicates) containing the return values of the given function in the same order as the input values.
      • take

        @NotNull
        default @NotNull UnmodIterable<T> take​(long numItems)
        Return only the first n items.
        Specified by:
        take in interface Transformable<T>
        Parameters:
        numItems - the maximum number of items in the returned view.
        Returns:
        a Transformable containing no more than the specified number of items.
      • takeWhile

        @NotNull
        default @NotNull UnmodIterable<T> takeWhile​(@NotNull
                                                    @NotNull Fn1<? super T,​Boolean> f)
        Return items from the beginning until the given predicate returns false.
        Specified by:
        takeWhile in interface Transformable<T>
        Parameters:
        f - the predicate (test function)
        Returns:
        a lazy transformable containing the longest un-interrupted run of items, from the beginning of the transformable, that satisfy the given predicate. This could be 0 items to the entire transformable.
      • head

        @NotNull
        default @NotNull Option<T> head()
        The first item in this iterable.
        Specified by:
        head in interface Transformable<T>
        Returns:
        an eagerly evaluated result which is a single item.