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diff --git a/vendor/rayon/src/iter/splitter.rs b/vendor/rayon/src/iter/splitter.rs
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+use super::plumbing::*;
+use super::*;
+
+use std::fmt::{self, Debug};
+
+/// The `split` function takes arbitrary data and a closure that knows how to
+/// split it, and turns this into a `ParallelIterator`.
+///
+/// # Examples
+///
+/// As a simple example, Rayon can recursively split ranges of indices
+///
+/// ```
+/// use rayon::iter;
+/// use rayon::prelude::*;
+/// use std::ops::Range;
+///
+///
+/// // We define a range of indices as follows
+/// type Range1D = Range<usize>;
+///
+/// // Splitting it in two can be done like this
+/// fn split_range1(r: Range1D) -> (Range1D, Option<Range1D>) {
+///     // We are mathematically unable to split the range if there is only
+///     // one point inside of it, but we could stop splitting before that.
+///     if r.end - r.start <= 1 { return (r, None); }
+///
+///     // Here, our range is considered large enough to be splittable
+///     let midpoint = r.start + (r.end - r.start) / 2;
+///     (r.start..midpoint, Some(midpoint..r.end))
+/// }
+///
+/// // By using iter::split, Rayon will split the range until it has enough work
+/// // to feed the CPU cores, then give us the resulting sub-ranges
+/// iter::split(0..4096, split_range1).for_each(|sub_range| {
+///     // As our initial range had a power-of-two size, the final sub-ranges
+///     // should have power-of-two sizes too
+///     assert!((sub_range.end - sub_range.start).is_power_of_two());
+/// });
+/// ```
+///
+/// This recursive splitting can be extended to two or three dimensions,
+/// to reproduce a classic "block-wise" parallelization scheme of graphics and
+/// numerical simulations:
+///
+/// ```
+/// # use rayon::iter;
+/// # use rayon::prelude::*;
+/// # use std::ops::Range;
+/// # type Range1D = Range<usize>;
+/// # fn split_range1(r: Range1D) -> (Range1D, Option<Range1D>) {
+/// #     if r.end - r.start <= 1 { return (r, None); }
+/// #     let midpoint = r.start + (r.end - r.start) / 2;
+/// #     (r.start..midpoint, Some(midpoint..r.end))
+/// # }
+/// #
+/// // A two-dimensional range of indices can be built out of two 1D ones
+/// struct Range2D {
+///     // Range of horizontal indices
+///     pub rx: Range1D,
+///
+///     // Range of vertical indices
+///     pub ry: Range1D,
+/// }
+///
+/// // We want to recursively split them by the largest dimension until we have
+/// // enough sub-ranges to feed our mighty multi-core CPU. This function
+/// // carries out one such split.
+/// fn split_range2(r2: Range2D) -> (Range2D, Option<Range2D>) {
+///     // Decide on which axis (horizontal/vertical) the range should be split
+///     let width = r2.rx.end - r2.rx.start;
+///     let height = r2.ry.end - r2.ry.start;
+///     if width >= height {
+///         // This is a wide range, split it on the horizontal axis
+///         let (split_rx, ry) = (split_range1(r2.rx), r2.ry);
+///         let out1 = Range2D {
+///             rx: split_rx.0,
+///             ry: ry.clone(),
+///         };
+///         let out2 = split_rx.1.map(|rx| Range2D { rx, ry });
+///         (out1, out2)
+///     } else {
+///         // This is a tall range, split it on the vertical axis
+///         let (rx, split_ry) = (r2.rx, split_range1(r2.ry));
+///         let out1 = Range2D {
+///             rx: rx.clone(),
+///             ry: split_ry.0,
+///         };
+///         let out2 = split_ry.1.map(|ry| Range2D { rx, ry, });
+///         (out1, out2)
+///     }
+/// }
+///
+/// // Again, rayon can handle the recursive splitting for us
+/// let range = Range2D { rx: 0..800, ry: 0..600 };
+/// iter::split(range, split_range2).for_each(|sub_range| {
+///     // If the sub-ranges were indeed split by the largest dimension, then
+///     // if no dimension was twice larger than the other initially, this
+///     // property will remain true in the final sub-ranges.
+///     let width = sub_range.rx.end - sub_range.rx.start;
+///     let height = sub_range.ry.end - sub_range.ry.start;
+///     assert!((width / 2 <= height) && (height / 2 <= width));
+/// });
+/// ```
+///
+pub fn split<D, S>(data: D, splitter: S) -> Split<D, S>
+where
+    D: Send,
+    S: Fn(D) -> (D, Option<D>) + Sync,
+{
+    Split { data, splitter }
+}
+
+/// `Split` is a parallel iterator using arbitrary data and a splitting function.
+/// This struct is created by the [`split()`] function.
+///
+/// [`split()`]: fn.split.html
+#[derive(Clone)]
+pub struct Split<D, S> {
+    data: D,
+    splitter: S,
+}
+
+impl<D: Debug, S> Debug for Split<D, S> {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        f.debug_struct("Split").field("data", &self.data).finish()
+    }
+}
+
+impl<D, S> ParallelIterator for Split<D, S>
+where
+    D: Send,
+    S: Fn(D) -> (D, Option<D>) + Sync + Send,
+{
+    type Item = D;
+
+    fn drive_unindexed<C>(self, consumer: C) -> C::Result
+    where
+        C: UnindexedConsumer<Self::Item>,
+    {
+        let producer = SplitProducer {
+            data: self.data,
+            splitter: &self.splitter,
+        };
+        bridge_unindexed(producer, consumer)
+    }
+}
+
+struct SplitProducer<'a, D, S> {
+    data: D,
+    splitter: &'a S,
+}
+
+impl<'a, D, S> UnindexedProducer for SplitProducer<'a, D, S>
+where
+    D: Send,
+    S: Fn(D) -> (D, Option<D>) + Sync,
+{
+    type Item = D;
+
+    fn split(mut self) -> (Self, Option<Self>) {
+        let splitter = self.splitter;
+        let (left, right) = splitter(self.data);
+        self.data = left;
+        (self, right.map(|data| SplitProducer { data, splitter }))
+    }
+
+    fn fold_with<F>(self, folder: F) -> F
+    where
+        F: Folder<Self::Item>,
+    {
+        folder.consume(self.data)
+    }
+}