gonum | An enum generator for Go | SDK library
kandi X-RAY | gonum Summary
kandi X-RAY | gonum Summary
gonum is an enum generator for Go. It is inspired by the powerful enum types found in Java. gonum has the following capabilities.
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Top functions reviewed by kandi - BETA
- Main entry point .
- parseStructTag parses a struct tag .
- getUser returns a http . HandlerFunc that returns an HTTP response .
- parsePackage adds a single package .
- NewSushi returns a new Sushi
- NewVerificationStatus returns a new VerificationStatus
- parseEnumStructTag returns name and description of an enum struct tag .
- NewErrors returns a new Errors object .
- NewStatus returns a new Status
- NewColor returns a new Color
gonum Key Features
gonum Examples and Code Snippets
Lines of Code : 26
License : No License
Copy//go:generate gonum -types=ColorEnum,StatusEnum,SushiEnum
// generate an enum with display values. The display values are used for JSON serialization/deserialization
type ColorEnum struct {
Red string `enum:"RED"`
LightBlue string `enum:"LIG go build gonum.go
go generate
go test .
make test
curl https://raw.githubusercontent.com/steinfletcher/gonum/master/download.sh | sh
mv bin/gonum /usr/local/bin
go get -u github.com/steinfletcher/gonum
Community Discussions
Trending Discussions on gonum
QUESTION
Is there any implementation of an algorithm finding all the cycles in a directed multigraph with self edges in Golang ? I found out that the Johnson's algo is the best solution for directed graphs and an implementation is given in gonum but it works only on directed graphs (not multigraphs) and it does not support self edges (actually directed graphs in gonum don't support self edges). Is there any short/clever hack that I can do in gonum to make johnson's work for directed multigraphs with self edges ? Or is there any other implementation in Golang ?
One thing that can be done is to create a dummy node between self edges and the duplicate edges between same pair of nodes. This will remove all self edges and graph will be a directed one and I can use the Johnson's here. But is there any better way ?
...ANSWER
Answered 2021-Mar-10 at 08:50self edges : you just have to scan each node of your graph and check if there is a self edge. If there is : add
X -> Xto the list of cyclesmulti graph : the first algorithm will produce paths as a sequence of vertices
X1 -> X2 -> X3 -> .... When you have this list, iterate over all the possible edges going fromX1toX2, then all the possible edges going fromX2toX3, etc ...
- "clever" hack : from your multigraph
G, create a new graphG2, where the edges ofGalso appear as vertices :
QUESTION
The first code that I made is this...
...ANSWER
Answered 2020-Jul-18 at 09:46QUESTION
Using F# I am trying to scan through a JSON file and compare its arrays against a single array of (randomly generated) numbers. The formatting for the json is:
{"1":[#,#,#,#,#],"2":[#,#,#,#,#],...}
etc for 121 entries. I'm currently trying Json.NET. My problems are:
How can I import a local file with Json.NET?
How would I set about making a simple call of the json key that'd return it's array value that's fit to run it through a for loop?
Here is my code of how far I've gotten:
...ANSWER
Answered 2020-Apr-19 at 18:31f# is a statically typed language - we simply often don't notice because of its excellent type inferencing. But when deserializing from a JSON file, before writing any code, it is useful to determine whether the JSON has a fixed schema, and if so, create or choose an appropriate data model to which the JSON can be mapped automatically.
In your case, your JSON looks like:
QUESTION
I want to serialize the type Dense of package gonum.org/v1/gonum/mat. Because of the fact, that I cannot implement methods for external types, I created a type
ANSWER
Answered 2020-Apr-01 at 10:30if you check the docs of Unmarshal. You will find that the know type of Numbers in Unmarshal is float64
To unmarshal JSON into an interface value, Unmarshal stores one of these in the interface value:
QUESTION
I'm writing this away from my code so fingers crossed.
I've recently started learning Go from a Python background. I've set up my workspace (Linux Mint OS) so:
GOPATH=$HOME/go GOROOT=/usr/local/go
Where under $HOME i have a dir called go and 3 subdirs called src, bin and pkg.
I wanted to mess around with some dataframes (I use pandas a lot in Python) so I tried to install gota from github. Only their recommended install command:
...ANSWER
Answered 2019-Nov-26 at 10:40The authors of the repository must have migrated to a different repository.
The official repository of these packages is: github.com/go-gota/gota
QUESTION
I am trying to use Go for simple statistics.
I am using this package to get correlation coefficient.
It works well but it does not give P value of the correlation. Other functions in this package are given above on the same page: https://godoc.org/gonum.org/v1/gonum/stat
Similarly, this package also has correlation function which returns coefficient but not P value.
How can I find P value of correlation coefficient with any of these packages?
Edit: I had posted this question at crossvalidated (stats.stackexchange.com) where it was suggested that it is a programming question.
...ANSWER
Answered 2019-Sep-19 at 18:34It looks like you'll need to calculate it manually, and there are multiple ways to do this, depending on assumptions you can make about your data. If you really go this route, I'd strongly encourage you to also test against existing implementations - for example R's cor.test -
to ensure that you're not doing something wrong.
If the observed values are each approximately normal, then the value
where r is the calculated correlation coefficient and n is the number of observations, will follow Student's t distribution with n-2 degrees of freedom. Hence, you can use Student's t distribution as implemented in GoNum to compute the p-value. This is what cor.test in R does.
It should go something like (please note I've never used Go):
QUESTION
I'd like to use the gonum libraries for go in order to experiment with some neural network stuff but I cannot go past the install process...
I'm running the command found on the official gonum website :
...ANSWER
Answered 2019-Apr-17 at 15:34As Adrian told in the comments, the issue was that the go version I was running was too old for gonum to install correctly. This was due to the fact that the go-golang package installed on my computer via apt-get was giving me the 1.6 version of go. By removing the package and making sure I had a recent go release installed on my computer I managed to install gonum.
QUESTION
I am using gonum to perform a few linear algebra calculations. After extending the original mat.VecDense struct I am getting a "bad region: identical" panic when applying a method on itself. This error does not occur when I am using the original setup gonum provides.
Here is my implementation:
...ANSWER
Answered 2018-Aug-21 at 18:35In Golang it is described for promoted methods as
Promoted fields act like ordinary fields of a struct except that they cannot be used as field names in composite literals of the struct.
Given a struct type S and a defined type T, promoted methods are included in the method set of the struct as follows:
- If S contains an embedded field T, the method sets of S and *S both include promoted methods with receiver T. The method set of *S also includes promoted methods with receiver *T.
- If S contains an embedded field *T, the method sets of S and *S both include promoted methods with receiver T or *T.
The problem is that you are passing pointer type arguments to AddVec function. But you are using pointer type fields in second case.
QUESTION
I'm trying to implement my own absolute function for gonum dense vectors in Go. I'm wandering if there's a better way of getting the absolute value of an array than squaring and then square rooting?
My main issue is that I've had to implement my own element wise Newtonian square-root function on these vectors and there's a balance between implementation speed and accuracy. If I could avoid using this square-root function I'd be happy.
...ANSWER
Answered 2019-Feb-26 at 11:03NumPy source code can be tricky to navigate, because it has so many functions for so many data types. You can find the C-level source code for the absolute value function in the file scalarmath.c.src. This file is actually a template with function definitions that are later replicated by the build system for several data types. Note each function is the "kernel" that is run for each element of the array (looping through the array is done somewhere else). The functions are always called _ctype_absolute, where is the data type it applies to and is generally templated. Let's go through them.
QUESTION
I am porting an existing C++ application to GO as part of an evaluation project. As part of this I need to read two Dataset attributes which in some files are stored as a double and in some as a float. The C++ code I use to handle this looks like the following (we are using the libhdf5-cpp-100 on Debian Linux).
...ANSWER
Answered 2019-Feb-21 at 21:42I have confirmed my suspicions and now have a proper answer. The essential problem is that there was an error in my use of the C++ API (which would have led to only writing 1/2 of a double in certain cases) and I was essentially trying to repeat that error in GO. In fact, the solution is very simple.
The attribute type that is passed into the attribute read method, is not the type of the attribute, it is the type that you want it converted to when stored in memory. That means that my C++ code should be much simpler as there is no need to check the attribute type, nor to static_cast it to the result. To read and store the attribute value, relying on HDF5 to perform the conversion and for a suitable exception to be thrown if the attribute is not convertible to a double, is as simple as
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