gev | fast non-blocking TCP network library | Websocket library

by Allenxuxu Go Version: v0.5.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | gev Summary

gev is a Go library typically used in Networking, Websocket applications. gev has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

gev is a lightweight, fast non-blocking TCP network library / websocket server based on Reactor mode. Support custom protocols to quickly and easily build high-performance servers.

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Support

gev has a medium active ecosystem.

It has 1622 star(s) with 190 fork(s). There are 41 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 67 have been closed. On average issues are closed in 36 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of gev is v0.5.0

Quality

gev has no bugs reported.

Security

gev has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

gev is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

gev releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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gev Key Features

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gev Examples and Code Snippets

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Community Discussions

Trending Discussions on gev

Plotting an exponential function given one parameter

Parameters for Exponential function with maximum likelihood in R

Calculate y value for distribution fitting functions R

How to estimate maximum likelihood with GEV in python

labeling geom_point in ggplot R

Looking for first line of data with python

Making python automatically name a file based on user input

Editing a column by a multiplier, and then replacing the column with the multiplier and saving the file as a new .txt file -python

Implement criterion for parameters to be optimized over in optim()

Selecting one plot among diagnostic plots in R

QUESTION

Plotting an exponential function given one parameter

Asked 2021-Jun-06 at 17:59

I'm fairly new to python so bare with me. I have plotted a histogram using some generated data. This data has many many points. I have defined it with the variable vals. I have then plotted a histogram with these values, though I have limited it so that only values between 104 and 155 are taken into account. This has been done as follows:

...

ANSWER

Answered 2021-Jun-06 at 17:59

See the cumtrapz docs:

Returns: ... If initial is None, the shape is such that the axis of integration has one less value than y. If initial is given, the shape is equal to that of y.

So you are either to pass an initial value like

Source https://stackoverflow.com/questions/67861191

QUESTION

Parameters for Exponential function with maximum likelihood in R

Asked 2021-May-31 at 20:02

I got a sample data and i'm trying to obtain the parameters for two-parameter exponential function calculed based on maximum likelihood.

My sample:

...

ANSWER

Answered 2021-May-31 at 20:02

The two-parameter exponential function is an exponential function with a lower endpoint at xi. Finding MLEs of distributions with such sharp boundary points is a bit of a special case: the MLE for the boundary is equal to the minimum value observed in the data set (see e.g. this CrossValidated question). That makes the MLE of the two-parameter exponential equivalent to the MLE of the exponential distribution for x-xmin.

So the MLE of xi is

Source https://stackoverflow.com/questions/67641534

QUESTION

Calculate y value for distribution fitting functions R

Asked 2021-Feb-01 at 17:06

I am plotting curves for different distribution functions and I need to know the highest y-value for each curve. Later I will plot only the one curve, which is selected as the best fitting.

This is the function (it is a bit hard-coded, I am working on it):

...

ANSWER

Answered 2021-Feb-01 at 17:06

You could use purrr::map_dbl to map the function optimize over your densities if you rearrange your code slightly and you have an idea over what input values you want to find their maxima/the density exists.

You can set your densities with whatever your parameters are ahead of time, that way you can find their peak values using optimize and also pass them to the curve function.

As a small reproducible example:

Source https://stackoverflow.com/questions/65891906

QUESTION

How to estimate maximum likelihood with GEV in python

Asked 2020-Nov-26 at 17:47

I'm trying to match the generalized extreme value (GEV) distribution's probability density function (pdf) to the data' pdf. This histogram is function of bin. As adjust this bin, the result of the function fitting also changes. And curve_fit(func, x, y) is playing this role properly. but this function uses a "least squares estimation". What I want is to use maximum likelihood estimation (MLE). And it has good results with the stats.genextreme.fit(data)function. However, this function does not represent histogram shape changes according to bin. Just use the original data.

I'm trying to use MLE. And I succeeded in estimating the parameters of the standard normal distribution using MLE. However, it is based on the original data and does not change according to the bin. Even the parameters of the GEV could not be estimated with the original data.

I checked the source code of genextreme_gen, rv_continuous, etc. But, this code is too complicated. I couldn't accept the source code with my Python skills.

I would like to estimate the parameters of the GEV distribution through MLE. And I want to get the result that the estimate changes according to bin.

What should I do?

I am sorry for my poor English, and thank you for your help.

...

ANSWER

Answered 2020-Nov-26 at 17:47

One way to do this is to convert bins to data. You can do so by counting number of data points in each bin and then repeating center of the bin this number of times.

I have also tried to sample uniform values from each bin, but using center of the bin and then repeating it seems to provide parameters with higher likelihood.

Source https://stackoverflow.com/questions/64980754

QUESTION

labeling geom_point in ggplot R

Asked 2020-Sep-13 at 19:48

I am trying to recreate a plot and I have several lines in there, which are in the legend but next to this the plot also has some points. How could I put labels in this plot at the points. Note that the points are not in the data frame. My code looks like this now:

...

ANSWER

Answered 2020-Sep-13 at 18:59

To label the points you can add geom_text layers with point coordinates and the label.

Using mtcars as example data set try this:

Source https://stackoverflow.com/questions/63874176

QUESTION

Looking for first line of data with python

Asked 2020-Jun-23 at 07:33

I have a data file that looks like this, and the file type is a list.

...

ANSWER

Answered 2020-Jun-23 at 05:53

spectrum=[]
mass=[]
with open ('test.in') as m:
    test=m.readlines()

    for line in test:
        if line[0] == '#':
            continue
        single_line=line.split('\t')
        mass.append(float(single_line[0]))
        spectrum.append(float(single_line[1]))

Source https://stackoverflow.com/questions/62528123

QUESTION

Making python automatically name a file based on user input

Asked 2020-Jun-23 at 04:25

I have a python script that writes a file that is based on the scalers I apply to other files I call this file APtest.in . To make it easier for the user, I do not want the user to input their own file name rather, python writes the file name. For example, if all mumu, bquark, tau, and ww have a scalar value of .1 the output file name should be alone the lines of DMmodel_010mumu_010tau_010bquark_010ww.in

Thank you in advance!

...

ANSWER

Answered 2020-Jun-23 at 04:25

Something like below:

Source https://stackoverflow.com/questions/62527078

QUESTION

Editing a column by a multiplier, and then replacing the column with the multiplier and saving the file as a new .txt file -python

Asked 2020-Jun-11 at 06:51

So I have a file that looks like this

mass (GeV) spectrum (1-100 GeV)

10 0.06751019803888393

20 0.11048827045815585

30 0.1399367785958526

40 0.1628781532692572

I want to multiply the spectrum by half or any percentage, then create a new file with the same data, but the spectrum is replaced with the new spectrum multiplied by the multiplier

...

ANSWER

Answered 2020-Jun-11 at 06:51

replace is a function that works on strings. f is not a string. (For that matter, neither is Spectrum or Spectrumnew.)

You need to construct the line you want in the output file as a string and then write it out. You already have string output working. To construct the output line, you can just concatenate the first number from the input, a tab character, and the product of the second number and the multiplier. You can convert a number to a string with the str() function and you can concatenate strings with the + operator.

There are several more specific answers on this site already that may be helpful, such as replacing text in a file with Python.

Source https://stackoverflow.com/questions/62318314

QUESTION

Implement criterion for parameters to be optimized over in optim()

Asked 2020-Jun-06 at 11:08

I want to minimize a metric d that includes GEV-distributed values. Thus, I need to find a, b and c with optim(), such that d ideally converges to 0.

Here is a simplified excerpt from my code:

...

ANSWER

Answered 2020-Jun-06 at 11:08

One way to implement such a constraint is to have gev.score return a large number whenever the constraint is not met. You minimize, and so the algorithm will move away from points that violate the constraint. (The downside of the approach is that you introduce jumps into the objective function, and this may create new troubles.)

With only three parameters to optimize, you might also consider a grid search.

By the way, it would help if you created a small reproducible example.

Source https://stackoverflow.com/questions/62229147

QUESTION

Selecting one plot among diagnostic plots in R

Asked 2020-Mar-27 at 19:19

I am trying to isolate only one plot among a 4-panel display of diagnostic plots using a GEV model.

This is what I tried to isolate the last plot of the 4 plots (i.e. the bottom-right plot):

...

ANSWER

Answered 2020-Mar-27 at 19:19

The plot method for class fevd has an argument type and the following is from its document:

Default is “primary”, which makes a 2 by 2 panel of plots including the QQ plot of the data quantiles against the fitted model quantiles (type “qq”), a QQ plot (“qq2”) of quantiles from model-simulated data against the data, a density plot of the data along with the model fitted density (type “density”) and a return level plot (type “rl”).

The fourth panel is the return level plot and you can extract it by

Source https://stackoverflow.com/questions/60892234

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Vulnerabilities

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Install gev

You can download it from GitHub.

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