distribution | FeelUOwn distribution

 by   feeluown Python Version: v3.7.13 License: No License

kandi X-RAY | distribution Summary

kandi X-RAY | distribution Summary

distribution is a Python library. distribution has no bugs, it has no vulnerabilities and it has low support. However distribution build file is not available. You can download it from GitHub.

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              distribution has a low active ecosystem.
              It has 7 star(s) with 4 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              distribution has no issues reported. On average issues are closed in 125 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of distribution is v3.7.13

            kandi-Quality Quality

              distribution has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              distribution does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              distribution releases are available to install and integrate.
              distribution has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of distribution
            Get all kandi verified functions for this library.

            distribution Key Features

            No Key Features are available at this moment for distribution.

            distribution Examples and Code Snippets

            Generate a stateless uniform distribution .
            pythondot img1Lines of Code : 119dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def stateless_random_uniform(shape,
                                         seed,
                                         minval=0,
                                         maxval=None,
                                         dtype=dtypes.float32,
                                         name=None,
                     
            Random uniform distribution .
            pythondot img2Lines of Code : 107dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def random_uniform(shape,
                               minval=0,
                               maxval=None,
                               dtype=dtypes.float32,
                               seed=None,
                               name=None):
              """Outputs random values from a uniform distribution.
            
              Th  
            Generate a random gamma distribution .
            pythondot img3Lines of Code : 89dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def 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  

            Community Discussions

            QUESTION

            Parallelize histogram creation in c++ with futures: how to use a template function with future?
            Asked 2021-Jun-16 at 00:46

            Giving a bit of context. I'm using c++17. I'm using pointer T* data because this will interop with cuda code. I'm trying write a parallel version (on CPU) of a histogram creator. The sequential version:

            ...

            ANSWER

            Answered 2021-Jun-16 at 00:46

            The issue you are having has nothing to do with templates. You cannot invoke std::async() on a member function without binding it to an instance. Wrapping the call in a lambda does the trick.

            Here's an example:

            Source https://stackoverflow.com/questions/67994778

            QUESTION

            Can't integrate simple normal distribution in sympy, depending on mean and deviation constants
            Asked 2021-Jun-15 at 19:02

            So... I can sympy.integrate a normal distribution with mean and standard deviation:

            ...

            ANSWER

            Answered 2021-Jun-15 at 01:38

            Here's a close case that works:

            Source https://stackoverflow.com/questions/67978829

            QUESTION

            How to distribute a package with self-contained local dependencies?
            Asked 2021-Jun-15 at 16:11

            I have some local packages hosted on my own machine, I would like to include a copy of them in distribution of other packages that depends on them. When installing a local package, pip freeze shows something like

            ...

            ANSWER

            Answered 2021-Jun-15 at 16:11

            I managed to do it with source distributions and overriding sdist and egg_info commands to make setuptools bundle local dependencies together with package and to make pip search dependencies in that bundle when installing the built package later. But later I figured out it makes system vulnerable to dependency confusion attacks because local packages installed from that bundle are visible with pip freeze, if for some reason the dependency location, like local-package @ file:///home/user/packages/local-package.tar.gz is stripped to just local-package pip will search it on pypi, which allows dependency confusion to happen.

            The best solution for this problem is to vendor all local dependencies where their source code is copied to the package, pip itself vendors its dependencies using vendoring.

            Source https://stackoverflow.com/questions/66575336

            QUESTION

            how to download data behind core web vital report in google search console via api?
            Asked 2021-Jun-15 at 14:47

            I am looking for a way to download the data behind core web vital reports in google search console. is there any api for this? so far the only thing I find is the page speed api which is providing the current analysis for given url. What I need is the counts and distribution per day which is exactly what is shown in this report:

            There is a link to download when I navigate into the report, but I am looking for a python api kind of thing to programmatically download this data.

            ...

            ANSWER

            Answered 2021-May-12 at 23:20

            The GSC API currently does not support these new reports.

            The Core Web Vitals data comes from the CrUX report data which does have an API. So you can get similar data via that. I think the PSI API also includes data from CrUX if available. It would probably take some work to get the data in the structure you want it.

            Source https://stackoverflow.com/questions/67510205

            QUESTION

            Splitting and distributing data from two tables into a new one
            Asked 2021-Jun-15 at 08:24

            I have been studying and learning PHP and MySQL and I have started a system that I'm developing for a friend's little school and to help me to improve my learning. I basically have in this case a table with the names of the students (tb_std) and another with the names of the teachers (tb_tch). The work is to distribute these students among the teachers in a new table, which is the way I think it will work better (tb_final).

            1. I basically need each student to have a randomly chosen teacher so that the distribution is numerically even among the teachers.

            In this example, I have 7 teachers and 44 students. Using SELECT query I did the operations to find out how many students would be for each teacher (add/division/mod), but how to make this draw to play in this new table I have no idea where to start.

            ...

            ANSWER

            Answered 2021-Jun-14 at 14:50

            You can solve this by next (a bit a complicate) query using window functions:

            Source https://stackoverflow.com/questions/67969067

            QUESTION

            Why do I get error "Could not find a version that satisfies the requirement scipy==1.5.3" when running "pip install -r requirements.txt"?
            Asked 2021-Jun-15 at 02:20

            I am trying to install all needed modules for an existing Django project. When I run pip install -r requirements.txt I get the following errors:

            ...

            ANSWER

            Answered 2021-Jan-26 at 13:05

            Inside your requirements.txt change scipy line with this scipy==1.6.0 and save. Now retry pip installation.

            Source https://stackoverflow.com/questions/65900701

            QUESTION

            How to plot multiple subplots using for loop?
            Asked 2021-Jun-14 at 22:42

            I am very new to Python. I have a dummy dataset (25 X 6) for practice. Out of 6 columns, I have 1 target variable (binary) and 5 independent variables (4 categorical and 1 numeric). I am trying to view my target distribution by the values within each of the 4 categorical columns (and without writing code for separate columns - but with a for loop usage so that I can scale it up for bigger datasets in the future). Something like below:

            I am already successful in doing that (image above), but since I could only think of achieving this by using counters inside a for loop, I don't think this is Python elegant, and pretty sure there could be a better way of doing it (something like CarWash.groupby([i,'ReversedPayment']).size().reset_index().pivot(index = i,columns = 'ReversedPayment',values=0).axes.plot(kind='bar', stacked=True). I am struggling in handling this ax = setting) Below is my non-elegant Python code (not scalable):

            ...

            ANSWER

            Answered 2021-Jun-14 at 22:42

            The best way to make your code less repetitive for many potential columns is to make a function that plots on an axis. That way you can simply adjust with 3 parameters basically:

            Source https://stackoverflow.com/questions/67974796

            QUESTION

            Copy ZIP file into Artifactory without any meta-data using Gradle
            Asked 2021-Jun-14 at 19:08

            I have a Spring Boot 2.x project that uses Gradle 7.x.

            I'm assembling a distribution of the artifact/service in a zip / tar file using the built-in Spring Boot task(s) provided. There is no meta-data associated with this asset, nor any need to add anything else to it.

            I would like to copy (or publish) this zip / tar file into Artifactory (using Gradle), but so far everything I see around that subject includes (1) the file itself (usually a jar), (2) module meta-data and (3) the POM file.

            Is there a way to accomplish what I'm looking for?

            ...

            ANSWER

            Answered 2021-Jun-14 at 19:08

            Not exactly answers your question, but an easier approach would be to upload to Artifactory using the JFrog CLI:

            Source https://stackoverflow.com/questions/67938111

            QUESTION

            Tensorflow ValueError: Dimensions must be equal: LSTM+MDN
            Asked 2021-Jun-14 at 19:07

            I am trying to make a next-word prediction model with LSTM + Mixture Density Network Based on this implementation(https://www.katnoria.com/mdn/).

            Input: 300-dimensional word vectors*window size(5) and 21-dimensional array(c) representing topic distribution of the document, used to train hidden initial states.

            Output: mixing coefficient*num_gaussians, variance*num_gaussians, mean*num_gaussians*300(vector size)

            x.shape, y.shape, c.shape with an experimental 161 obserbations gives me such:

            (TensorShape([161, 5, 300]), TensorShape([161, 300]), TensorShape([161, 21]))

            ...

            ANSWER

            Answered 2021-Jun-14 at 19:07

            for MDN model , the likelihood for each sample has to be calculated with all the Gaussians pdf , to do that I think you have to reshape your matrices ( y_true and mu) and take advantage of the broadcasting operation by adding 1 as the last dimension . e.g:

            Source https://stackoverflow.com/questions/67965364

            QUESTION

            Adding labels and textviews in a stack view programmatically in swift
            Asked 2021-Jun-14 at 18:48

            How can I do to have a title, followed by a few lines of text, followed by a title again and again few lines of text constrained in the middle of a view controller programmatically?

            My goal is to have bolded for the titles, and it would be nice to have the textview lines incremented also.

            My idea was to create 2 labels, and 2 textviews. And adding those to a textview in this order: label1, t1, label2, t2.

            But it doesn't seem to work. I try to avoid defining the same textviews and labels many times. textviews add up if I copy its definition twice but not for labels (maybe it is view related?)

            I tried with UIbuttons and it worked.

            This is what I tried so far:

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:48

            UILabel & UITextView are both UIKit classes written in Objective-C. They are reference types, NOT value types.

            When you write following -

            Source https://stackoverflow.com/questions/67975394

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install distribution

            You can download it from GitHub.
            You can use distribution like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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