PNG  IHDR pHYs   OiCCPPhotoshop ICC profilexڝSgTS=BKKoR RB&*! J!QEEȠQ, !{kּ> H3Q5 B.@ $pd!s#~<<+"x M0B\t8K@zB@F&S`cbP-`'{[! eDh;VEX0fK9-0IWfH  0Q){`##xFW<+*x<$9E[-qWW.(I+6aa@.y24x6_-"bbϫp@t~,/;m%h^ uf@Wp~<5j>{-]cK'Xto(hw?G%fIq^D$.Tʳ?D*A, `6B$BB dr`)B(Ͱ*`/@4Qhp.U=pa( Aa!ڈbX#!H$ ɈQ"K5H1RT UH=r9\F;2G1Q= C7F dt1r=6Ыhڏ>C03l0.B8, c˱" VcϱwE 6wB aAHXLXNH $4 7 Q'"K&b21XH,#/{C7$C2'ITFnR#,4H#dk9, +ȅ3![ b@qS(RjJ4e2AURݨT5ZBRQ4u9̓IKhhitݕNWGw Ljg(gwLӋT071oUX**| J&*/Tު UUT^S}FU3S ԖUPSSg;goT?~YYLOCQ_ cx,!k u5&|v*=9C3J3WRf?qtN (~))4L1e\kXHQG6EYAJ'\'GgSSݧ M=:.kDwn^Loy}/TmG X $ <5qo</QC]@Caaᄑ.ȽJtq]zۯ6iܟ4)Y3sCQ? 0k߬~OCOg#/c/Wװwa>>r><72Y_7ȷOo_C#dz%gA[z|!?:eAAA!h쐭!ΑiP~aa~ 'W?pX15wCsDDDޛg1O9-J5*>.j<74?.fYXXIlK9.*6nl {/]py.,:@LN8A*%w% yg"/6шC\*NH*Mz쑼5y$3,幄'L Lݛ:v m2=:1qB!Mggfvˬen/kY- BTZ(*geWf͉9+̳ې7ᒶKW-X潬j9(xoʿܔĹdff-[n ڴ VE/(ۻCɾUUMfeI?m]Nmq#׹=TR+Gw- 6 U#pDy  :v{vg/jBFS[b[O>zG499?rCd&ˮ/~јѡ򗓿m|x31^VwwO| (hSЧc3- cHRMz%u0`:o_F@8N ' p @8N@8}' p '#@8N@8N pQ9p!i~}|6-ӪG` VP.@*j>[ K^<֐Z]@8N'KQ<Q(`s" 'hgpKB`R@Dqj '  'P$a ( `D$Na L?u80e J,K˷NI'0eݷ(NI'؀ 2ipIIKp`:O'`ʤxB8Ѥx Ѥx $ $P6 :vRNb 'p,>NB 'P]-->P T+*^h& p '‰a ‰ (ĵt#u33;Nt̵'ޯ; [3W ~]0KH1q@8]O2]3*̧7# *p>us p _6]/}-4|t'|Smx= DoʾM×M_8!)6lq':l7!|4} '\ne t!=hnLn (~Dn\+‰_4k)0e@OhZ`F `.m1} 'vp{F`ON7Srx 'D˸nV`><;yMx!IS钦OM)Ե٥x 'DSD6bS8!" ODz#R >S8!7ّxEh0m$MIPHi$IvS8IN$I p$O8I,sk&I)$IN$Hi$I^Ah.p$MIN$IR8I·N "IF9Ah0m$MIN$IR8IN$I 3jIU;kO$ɳN$+ q.x* tEXtComment

Viewing File: /opt/go/pkg/mod/github.com/hashicorp/go-immutable-radix@v1.3.1/README.md

go-immutable-radix [![CircleCI](https://circleci.com/gh/hashicorp/go-immutable-radix/tree/master.svg?style=svg)](https://circleci.com/gh/hashicorp/go-immutable-radix/tree/master)
=========

Provides the `iradix` package that implements an immutable [radix tree](http://en.wikipedia.org/wiki/Radix_tree).
The package only provides a single `Tree` implementation, optimized for sparse nodes.

As a radix tree, it provides the following:
 * O(k) operations. In many cases, this can be faster than a hash table since
   the hash function is an O(k) operation, and hash tables have very poor cache locality.
 * Minimum / Maximum value lookups
 * Ordered iteration

A tree supports using a transaction to batch multiple updates (insert, delete)
in a more efficient manner than performing each operation one at a time.

For a mutable variant, see [go-radix](https://github.com/armon/go-radix).

Documentation
=============

The full documentation is available on [Godoc](http://godoc.org/github.com/hashicorp/go-immutable-radix).

Example
=======

Below is a simple example of usage

```go
// Create a tree
r := iradix.New()
r, _, _ = r.Insert([]byte("foo"), 1)
r, _, _ = r.Insert([]byte("bar"), 2)
r, _, _ = r.Insert([]byte("foobar"), 2)

// Find the longest prefix match
m, _, _ := r.Root().LongestPrefix([]byte("foozip"))
if string(m) != "foo" {
    panic("should be foo")
}
```

Here is an example of performing a range scan of the keys.

```go
// Create a tree
r := iradix.New()
r, _, _ = r.Insert([]byte("001"), 1)
r, _, _ = r.Insert([]byte("002"), 2)
r, _, _ = r.Insert([]byte("005"), 5)
r, _, _ = r.Insert([]byte("010"), 10)
r, _, _ = r.Insert([]byte("100"), 10)

// Range scan over the keys that sort lexicographically between [003, 050)
it := r.Root().Iterator()
it.SeekLowerBound([]byte("003"))
for key, _, ok := it.Next(); ok; key, _, ok = it.Next() {
  if key >= "050" {
      break
  }
  fmt.Println(key)
}
// Output:
//  005
//  010
```
Back to Directory=ceiIENDB`