ipld-eth-server/vendor/gopkg.in/karalabe/cookiejar.v2/README.md
Matt K 293dd2e848 Add vendor dir (#16) (#4)
* Add vendor dir so builds dont require dep

* Pin specific version go-eth version
2018-01-29 13:44:18 -06:00

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CookieJar - A contestant's toolbox

CookieJar is a small collection of common algorithms, data structures and library extensions that were deemed handy for computing competitions at one point or another.

This toolbox is a work in progress for the time being. It may be lacking, and it may change drastically between commits (although every effort is made not to). You're welcome to use it, but it's your head on the line :)

Installation

To get the package, execute:

go get gopkg.in/karalabe/cookiejar.v2

To import this package, add the following line to your code:

import "gopkg.in/karalabe/cookiejar.v2"

For more details, see the package documentation.

Contents

Algorithms:

Data structures:

Extensions:

  • fmt
    • Scan and Fscan for int, float64, string and lines
  • math
    • Abs for int
    • Min and Max for int, big.Int and big.Rat
    • Sign for int and float64
  • os
    • Open and Create without error codes
  • sort
    • Sort and Search for big.Int and big.Rat
    • Unique for any sort.Interface

Below are the performance results for the data structures and the complexity analysis for the algorithms.

Performance

Intel(R) Core(TM) i7-2600 CPU @ 3.40GHz:

- bag
    - BenchmarkInsert    309     ns/op
    - BenchmarkRemove    197     ns/op
    - BenchmarkDo        28.1    ns/op
- deque
    - BenchmarkPush      25.4    ns/op
    - BenchmarkPop       6.72    ns/op
- prque
    - BenchmarkPush      171     ns/op
    - BenchmarkPop       947     ns/op
- queue
    - BenchmarkPush      23.0    ns/op
    - BenchmarkPop       5.92    ns/op
- set
    - BenchmarkInsert    259     ns/op
    - BenchmarkRemove    115     ns/op
    - BenchmarkDo        20.9    ns/op
- stack
    - BenchmarkPush      16.4    ns/op
    - BenchmarkPop       6.45    ns/op

Complexity

Algorithm Time complexity Space complexity
graph/bfs O(E) O(V)
graph/dfs O(E) O(E)

Here be dragons :)

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