UniMod | A mod for the old game NoX | Game Engine library

by Evengard C Version: Current License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(8)Vulnerabilities Install Support

kandi X-RAY | UniMod Summary

UniMod is a C library typically used in Gaming, Game Engine applications. UniMod has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

A mod for the old game NoX.

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Quality

Security

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Support

UniMod has a low active ecosystem.

It has 12 star(s) with 1 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

UniMod has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of UniMod is current.

Quality

UniMod has 0 bugs and 0 code smells.

Security

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

UniMod code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

UniMod is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

UniMod releases are not available. You will need to build from source code and install.

It has 45325 lines of code, 401 functions and 142 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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UniMod Key Features

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UniMod Examples and Code Snippets

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Community Discussions

Trending Discussions on UniMod

Word2Vec returning vectors for individual character and not words

Trying to make a genetic algorithm

Plot unimodal distributions determined from a multimodal distribution

Model Prediction: Incompatible Shape

Swift Package Manager - Type 'Bundle' has no member “module” error

One label on the y axis and the second one leave it at the top. Using facet_wrap with 2 variables

R - modifying values columns depending on strings in same row

How can I generate n random values from a bimodal distribution in Python?

QUESTION

Word2Vec returning vectors for individual character and not words

Asked 2022-Feb-12 at 13:11

For the following list:

...

ANSWER

Answered 2022-Feb-12 at 13:11

Word2Vec expects a list of lists as input, where the corpus (main list) is composed of individual documents. The individual documents are composed of individual words (tokens). Word2Vec iterates over all documents and all tokens. In your example you have passed a single list to Word2Vec, therefore Word2Vec interprets each word as an individual document and iterates over each word character which is interpreted as a token. Therefore you have built a vocabulary of characters not words. To build a vocabulary of words you can pass a nested list to Word2Vec as in the example below.

Source https://stackoverflow.com/questions/71091209

QUESTION

Trying to make a genetic algorithm

Asked 2021-May-17 at 15:10

I've been studying about Genetic Algorithms lately and I decided to make my own using Python. I'll share the working I have done, below.

These are some helping function that I made to use in my driver function: Note: These functions are fine I believe, and can be used as it is. ...

ANSWER

Answered 2021-May-17 at 15:10

My comments turned into an answer:

So it looks like you need to run couples_selection() on the population for each generation, then run get_offspring() on the couples returned from couples_selection(), and then run eval_pop() on the population returned from get_offspring(). Then, the winner of that generation will be the individual from the returned list of eval_pop() that had the highest score. It looks like eval_pop() is supposed to sort its returned list in descending order of score, but doesn't appear to; otherwise, the [0] index of the returned list would be the one with the highest score, aka the winner.

Also, if you're returning sorted_pop_with_score[0] as the absolute winner, then it seems like you need to be adding the winner of each generation to some list, and then run eval_pop() on that list after you complete all the generations, and set sorted_pop_with_score to the result of that final eval_pop().

Source https://stackoverflow.com/questions/67526604

QUESTION

Plot unimodal distributions determined from a multimodal distribution

Asked 2021-Mar-14 at 16:19

I've used GaussianMixture to analyze a multimodal distribution. From the GaussianMixture class I can access the means and covariances using the attributes means_ and covariances_. How can I use them to now plot the two underlying unimodal distributions?

I thought of using scipy.stats.norm but I don't know what to select as parameters for loc and scale. The desired output would be analogously as shown in the attached figure.

The example code of this question was modified from the answer here.

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ANSWER

Answered 2021-Mar-14 at 16:19

It is not entirely clear what you are trying to accomplish. You are fitting a GaussianMixture model to the concatenation of the sum of the values of pdfs of two gaussians sampled on a uniform grid, and the unifrom grid itself. This is not how a Gaussian Mixture model is meant to be fitted. Typically one fits a model to random observations drawn from some distribution (typically unknown but could be a simulated one).

Let me assume that you want to fit the GaussianMixture model to a sample drawn from a Gaussian Mixture distribution. Presumably to test how well the fit works given you know what the expected outcome is. Here is the code for doing this, both to simulate the right distribution and to fit the model. It prints the parameters that the fit recovered from the sample -- we observe that they are indeed close to the ones we used to simulate the sample. Plot of the density of the GaussianMixture distribution that fits to the data is generated at the end

Source https://stackoverflow.com/questions/66626226

QUESTION

Model Prediction: Incompatible Shape

Asked 2021-Mar-04 at 16:13

I have a pretrained model that was trained on batches of 1024. Now when I try to make a simple prediction on a new sample I get this Warning:

WARNING:tensorflow:Model was constructed with shape (1024, 87, 16) for input KerasTensor(type_spec=TensorSpec(shape=(1024, 87, 16), dtype=tf.float32, name='Input'), name='Input', description="created by layer 'Input'"), but it was called on an input with incompatible shape (1, 87, 16). <

How can I remove the batch dimension? Will it make a difference in the prediction result if I ignore the warning?

...

ANSWER

Answered 2021-Mar-04 at 16:13

The batch size is hard-coded in the model definition in the JSON file.

To use a variable batch size, replace the following in the input layer

Source https://stackoverflow.com/questions/66463672

QUESTION

Swift Package Manager - Type 'Bundle' has no member “module” error

Asked 2020-Oct-18 at 21:40

Working on implementing SPM for a framework, and got stuck on the Type 'Bundle' has no member “module” error.

I have seen two other recent posts about this here and here, but following all the steps, it is still not working for me, no resource_bundle_accessor file is generated.

I asked about my Package.swift file here, and that has been answered and resolved. For completeness here's the file:

...

ANSWER

Answered 2020-Oct-17 at 23:05

If you follow the instructions on this video you will see that you need to define how you would like to include non-clear purpose files in a package. In this case your package manifest should be something like:

Source https://stackoverflow.com/questions/64407950

QUESTION

One label on the y axis and the second one leave it at the top. Using facet_wrap with 2 variables

Asked 2020-Oct-02 at 10:55

I want to add a y-axis on each facet. facet_wrap(scales="free_y") doesn't do what I want because switch=y moves both variables and I want to move only one.

Is it possible to do something about it?
Do you know if there is another way to get the axis on each facet the same way scales="free_y" does?.

Thank you for the time.

...

ANSWER

Answered 2020-Oct-02 at 10:55

Maybe this is what you are looking for. One way to get a y-axis on each facet is to make use of patchwork, i.e. make separate plots for each column of the grid and glue the plots together. One drawback: Both x-axis get labelled:

Source https://stackoverflow.com/questions/64168789

QUESTION

R - modifying values columns depending on strings in same row

Asked 2020-May-07 at 12:19

I am super new to R, so sorry to bother you with such a simple question.
I have a large data frame (full one has 25 columns & several million rows) containing information for a peptide spectral library (see example below).
I am introducing modifications into the base library by writing their abbreviations (UniMod:XXX) into the peptide sequences (PeptideSequence). All I have left is updating the peptide masses (PrecursorMz) in accordance to the occurrence of my modifications and the charge (PrecursorCharge). So for each "(UniMod:259)" partial string I would have to increase the corresponding mass by 8 (10 for (UniMod:267), divided by the charge (charge is NOT always 3, sorry). E.g. modified first line should read 714.64876 after factoring in the modifications in the sequence.

PrecursorMz PeptideSequence PrecursorCharge 709.31543 AAAEK(UniMod:259)LFGNMEGDCPSDWK(UniMod:259) 3 709.31543 AAAEKLFGNMEGDCPSDWK(UniMod:259) 3 529.58044 AK(UniMod:259)LWCSTTADYDR(UniMod:267) 3

Thank you so much and will provide and additional info you might need.

...

ANSWER

Answered 2020-May-07 at 12:19

Using stringr::str_count from stringr (part of tidyverse)

Source https://stackoverflow.com/questions/61611955

QUESTION

How can I generate n random values from a bimodal distribution in Python?

Asked 2020-Mar-17 at 12:27

I tried generating and combining two unimodal distributions but think there's something wrong in my code.

...

ANSWER

Answered 2020-Mar-17 at 12:27

It's unclear where your problem is; it's also unclear what the purpose of the variable w is, and it's unclear how you judge you get an incorrect result, since we don't see the plot code, or any other code to confirm or reject a binomial distribution.
That is, your example is too incomplete to exactly answer your question. But I can make an educated guess.

If I do the following below:

Source https://stackoverflow.com/questions/60721826

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Vulnerabilities

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Install UniMod

You can download it from GitHub.

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