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This commit converts the dependency management from Godeps to the vendor folder, also switching the tool from godep to trash. Since the upstream tool lacks a few features proposed via a few PRs, until those PRs are merged in (if), use github.com/karalabe/trash. You can update dependencies via trash --update. All dependencies have been updated to their latest version. Parts of the build system are reworked to drop old notions of Godeps and invocation of the go vet command so that it doesn't run against the vendor folder, as that will just blow up during vetting. The conversion drops OpenCL (and hence GPU mining support) from ethash and our codebase. The short reasoning is that there's noone to maintain and having opencl libs in our deps messes up builds as go install ./... tries to build them, failing with unsatisfied link errors for the C OpenCL deps. golang.org/x/net/context is not vendored in. We expect it to be fetched by the user (i.e. using go get). To keep ci.go builds reproducible the package is "vendored" in build/_vendor. |
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collections/prque | ||
LICENSE | ||
README.md |
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
andFscan
forint
,float64
,string
and lines
- math
Abs
forint
Min
andMax
forint
,big.Int
andbig.Rat
Sign
forint
andfloat64
- os
Open
andCreate
without error codes
- sort
Sort
andSearch
forbig.Int
andbig.Rat
Unique
for anysort.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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