Gamma | Generic Synthesis Library | Audio Utils library
kandi X-RAY | Gamma Summary
kandi X-RAY | Gamma Summary
Gamma is a cross-platform, C++ library for doing generic synthesis and filtering of signals. It contains helpful mathematical functions, types, such as vectors and complex numbers, an assortment of sequence generators, and many other objects for signal processing tasks. It is oriented towards real-time sound and graphics synthesis, but is equally useful for non-real-time tasks.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Gamma
Gamma Key Features
Gamma Examples and Code Snippets
Lines of Code : 89License : Non-SPDX (Apache License 2.0)
Copydef random_gamma(shape,
alpha,
beta=None,
dtype=dtypes.float32,
seed=None,
name=None):
"""Draws `shape` samples from each of the given Gamma distribution(s).
`a def adjust_gamma(image, gamma=1, gain=1):
"""Performs [Gamma Correction](http://en.wikipedia.org/wiki/Gamma_correction).
on the input image.
Also known as Power Law Transform. This function converts the
input images at first to float repres def gamma(num: float) -> float:
"""
Calculates the value of Gamma function of num
where num is either an integer (1, 2, 3..) or a half-integer (0.5, 1.5, 2.5 ...).
Implemented using recursion
Examples:
>>> from mat Community Discussions
Trending Discussions on Gamma
QUESTION
I have recently upgraded my Intel MacBook Pro 13" to a MacBook Pro 14" with M1 Pro. Been working hard on getting my software to compile and work again. No big issues fortunately, except for floating point problems in some obscure fortran code and in python. With regard to python/numpy I have the following question.
I have a large code base bur for simplicity will use this simple function that converts flight level to pressure to show the issue.
...ANSWER
Answered 2022-Mar-29 at 13:23As per the issue I created at numpy's GitHub:
the differences you are experiencing seem to be all within a single "ULP" (unit in the last place), maybe 2? For special math functions, like exp, or sin, small errors are unfortunately expected and can be system dependend (both hardware and OS/math libraries).
One thing that could be would might have a slightly larger effect could be use of SVML that NumPy has on newer machines (i.e. only on the intel one). That can be disabled at build time using NPY_DISABLE_SVML=1 as an environment variable, but I don't think you can disable its use without building NumPy. (However, right now, it may well be that the M1 machine is the less precise one, or that they are both roughly the same, just different)
I haven't tried compiling numpy using NPY_DISABLE_SVML=1 and my plan now is to use a docker container that can run on all my platforms and use a single "truth" for my tests.
QUESTION
I have created a class for word2vec vectorisation which is working fine. But when I create a model pickle file and use that pickle file in a Flask App, I am getting an error like:
AttributeError: module
'__main__'has no attribute 'GensimWord2VecVectorizer'
I am creating the model on Google Colab.
Code in Jupyter Notebook:
...ANSWER
Answered 2022-Feb-24 at 11:48Import GensimWord2VecVectorizer in your Flask Web app python file.
QUESTION
I am using the functions defined here: Extreme value analysis and user defined probability functions in Stan for modeling the data with a generalized pareto distribution, but my problem is that my model is in a for-loop and expects three real valued arguments, whereas, the gpd functions assume a vector, real, real argument.
I’m not so sure that my model chunk is so amenable to being vectorized, and so I was thinking I would need to have the gpd functions take in real valued arguments (but maybe I’m wrong).
I’d appreciate any help with switching the code around to achieve this. Here is my stan code
...ANSWER
Answered 2022-Feb-22 at 22:25Here is how the log PDF could be adapted. This way, index arrays for subsetting y into censored and non-censored observations can be passed.
QUESTION
I have a dataset that contains information about patients. It includes several variables and their clinical status (0 if they are healthy, 1 if they are sick). I have tried to implement an SVM model to predict patient status based on these variables.
...ANSWER
Answered 2022-Feb-13 at 03:32Did you look at the probabilities versus the fitted values? You can read about how probability works with SVM here.
If you want to look at the performance you can use the library DescTools and the function Conf or with the library caret and the function confusionMatrix. (They provide the same output.)
QUESTION
I've been working on python to make a program which need to handle complex problem from list of dict. The thing is I need to transform this data into dictionary and sort it. The input for this function is come from trees. The code I share here is working, but takes a long time to run. In here I wanna ask is there any idea to make this function run more faster in python? I use python 3.7.3 if you ask. The reason I wanna improve this code is because when I tried to make input data for this function need around 3-4 hours, but to run this function need time around 21-22 hours (this really shock me).
here is the structure of data that I input on below:
...ANSWER
Answered 2022-Feb-08 at 00:52Without having the full code to test outputs this is harder to do, but it seems that there are some redundant processes that you are adding elements to a list of lists only to flatten that list and add that to a dictionary as a set. You can increase some of the speed and memory by removing that and instead just adding it to the dictionary right away.
There are some other tweaks that can be done such as using f-strings instead of string concatenation, using list comprehension, and removing having to do the same math in the loop (time_range * gamma) and instead just reference it by memory.
But these are all minor tweaks compared to your step one process which looks to be the largest time sink (approx N^4 in time complexity). I am unsure if it is larger as I don't see the functions that you use inside that for loop, but tweaking that to reduce the number of calculations would provide the largest benefit to time savings.
QUESTION
I'm having trouble understanding an error message I'm getting from my GEKKO model.
For context, this model is supposed to optimize the gas spring force and dimension parameters of a gas-spring assisted door to minimize the operator force required to close the door. My intent is to calculate the required force at a series of angles between 0 and 90 degrees, then sum the absolute value of the force at all angles and minimize that value. There is also a constraint on the gas spring length so the optimization doesn't come up with unrealistic dimension parameters. I've defined the force and other values that need to be computed at each angle as lists of Intermediate variables.
The error appears to be related to one of these lists of Intermediate variables, but I don't know how to interpret "Position: 2" in the error message, let alone "Error in syntax of function string". I've searched in some other answers on here, but I haven't found a clear answer on how to use this position information to troubleshoot the model. What is the message trying to tell me?
...ANSWER
Answered 2022-Jan-15 at 05:44One way to locate the error is to open the run directory and inspect the text model file gk_model0.apm.
QUESTION
I am new to stackoverflow and also quite new to Python. So, I hope to ask my question in an appropriate manner. I am running a Python code similar to this minimal example with an example function that is a product of a lorentzian with a cosinus that I want to numerically integrate:
...ANSWER
Answered 2022-Jan-10 at 23:10Observations
Close to zero
(1 - cos(w*t)) / w**2tends to0/0. We can take the taylor expansion t**2(1/2 - (w*t)**2/24).Going to the infinity the Lorentzian is a constant and the cosine term will cause the output to oscillate indefinitely, the integral can be approximated by multiplying that term by a slowly decreasing term.
You are using a linearly spaced scale with many points. It is easier to visualize with
win log scale.
The plot looks like this before damping the cosine term
I introduced two parameters to tune the attenuation of the oscilations
QUESTION
Ownership Tree
Hi,
I was trying to understand ownership concepts in Rust and came across this image (attached in this post) in "Programming Rust" book.
In particular am concerned about the "Borrowing a shared reference" part. In the book, the author says
Values borrowed by shared references are read-only. Across the lifetime of a shared reference, neither its referent, nor anything reachable from that referent, can be changed by anything. There exist no live mutable references to anything in that structure, its owner is held read-only, and so on. It’s really frozen
In the image, he goes on to highlight the path along the ownership tree that becomes immutable once a shared reference is taken to a particular section of the ownership tree. But what confused me is that the author also mentions that certain other parts of the ownership tree are not read only.
So I tried to test out with this code:
...ANSWER
Answered 2021-Dec-31 at 02:08Someone should probably check my answer, as I am fairly new to Rust myself. But...
I think this is because a Vec doesn't uphold the same invariance as, say, a tuple or nested structs.
Here's a tuple version of the example you gave (Although tuples don't support pushing, so I'm just incrementing an integer):
QUESTION
I couldn't find a question similar to the one that I have here. I have a very large named list of named vectors that match column names in a dataframe. I would like to use the list of named vectors to replace values in the dataframe columns that match each list element's name. That is, the name of the vector in the list matches the name of the dataframe column and the key-value pair in each vector element will be used to recode the column.
Reprex below:
...ANSWER
Answered 2021-Dec-13 at 04:44One work around would be to use your map2_dfr code, but then bind the columns that are needed to the map2_dfr output. Though you still have to drop the names column.
QUESTION
I have a joint probability density f(x,y,z) and I wish to find the conditional distribution X|Y=y,Z=z, which is equivalent to treating x as data and y and z as parameters (constants).
For example, if I have X|Y=y,Z=z being the pdf of a N(1-2y,3z^2+2), the function would be:
ANSWER
Answered 2021-Dec-07 at 18:16I have managed to solve my own problem using solve() from Symbolic Toolbox. There were two issues with my original approach: I needed to set up n simultaneous equations for n parameters, and the solve() doesn't cope well with exponentials:
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