ng-numpy-randomstate | compatible random number generator that supports multiple

 by   bashtage Python Version: 1.14.0 License: Non-SPDX

kandi X-RAY | ng-numpy-randomstate Summary

kandi X-RAY | ng-numpy-randomstate Summary

ng-numpy-randomstate is a Python library typically used in Testing applications. ng-numpy-randomstate has no bugs, it has no vulnerabilities, it has build file available and it has low support. However ng-numpy-randomstate has a Non-SPDX License. You can install using 'pip install ng-numpy-randomstate' or download it from GitHub, PyPI.

This is a library and generic interface for alternative random generators in Python and NumPy.

            kandi-support Support

              ng-numpy-randomstate has a low active ecosystem.
              It has 41 star(s) with 13 fork(s). There are 8 watchers for this library.
              It had no major release in the last 12 months.
              There are 1 open issues and 25 have been closed. On average issues are closed in 147 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ng-numpy-randomstate is 1.14.0

            kandi-Quality Quality

              ng-numpy-randomstate has 0 bugs and 0 code smells.

            kandi-Security Security

              ng-numpy-randomstate has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ng-numpy-randomstate code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ng-numpy-randomstate has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              ng-numpy-randomstate releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              ng-numpy-randomstate saves you 2686 person hours of effort in developing the same functionality from scratch.
              It has 5823 lines of code, 435 functions and 33 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ng-numpy-randomstate and discovered the below as its top functions. This is intended to give you an instant insight into ng-numpy-randomstate implemented functionality, and help decide if they suit your requirements.
            • Return a dict of the cmdclass for this project
            • Generate a static constant
            • Get the project root directory
            • Create a ConfigParser object from root
            • Run 32 bit unsigned integers
            • Create a timer function
            • Run timer
            • Create the versioneer config file
            • Install versioneer
            • Measure the standard normal norm
            • Measure a standard normal distribution
            • Run 64 bit unsigned integers
            • Scans the given setup py py py file
            • Write a config file
            • Create a timer function
            • Generate static code for writing
            • Timer timer
            Get all kandi verified functions for this library.

            ng-numpy-randomstate Key Features

            No Key Features are available at this moment for ng-numpy-randomstate.

            ng-numpy-randomstate Examples and Code Snippets

            Pythondot img1Lines of Code : 35dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            Speed-up relative to NumPy (Uniform Doubles)
            randomstate.prng-dsfmt-random_sample               313.5%
            randomstate.prng-mlfg_1279_861-random_sample       459.4%
            Pythondot img2Lines of Code : 13dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
            import randomstate
            rs = randomstate.prng.xorshift128.RandomState()
            rs = randomstate.prng.pcg64.RandomState()
            # Identical to NumPy
            rs = randomstate.prng.mt19937.RandomState()
            Pythondot img3Lines of Code : 9dot img3License : Non-SPDX (NOASSERTION)
            copy iconCopy
            # import numpy.random as rnd
            import randomstate as rnd
            x = rnd.standard_normal(100)
            y = rnd.random_sample(100)
            z = rnd.randn(10,10)
            import randomstate as rnd
            w = rnd.standard_normal(10000, method='zig')
            x = rnd.standard_exponential(10000, method='zi  
            SMOTE is giving array size / ValueError for all-categorical dataset
            Pythondot img4Lines of Code : 20dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from collections import Counter
            from numpy.random import RandomState
            from sklearn.datasets import make_classification
            from imblearn.over_sampling import SMOTENC
            X, y = make_classification(n_classes=2, class_sep=2,
             weights=[0.1, 0.9], n_i
            Pyopencl memory access/non repetitive results
            Pythondot img5Lines of Code : 95dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import numpy as np
            import os
            from numpy.random import RandomState
            os.environ['PYOPENCL_COMPILER_OUTPUT'] = '1'
            for platform in cl.get_platforms():
                print("Platform name:",
            platform = cl.get_platforms()
            platform = [x for 
            Why is Numpy random.uniform not so uniform?
            Pythondot img6Lines of Code : 10dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            >>> from numpy.random import RandomState
            >>> rs = RandomState(123)
            >>> rs.uniform(0.00001,100000,100)[:3]
            array([69646.91856282, 28613.93350218, 22685.14536415])
            >>> rs.uniform(0.00001,100000,100)[:3]

            Community Discussions


            TypeError: __init__() got an unexpected keyword argument 'as_tuple'
            Asked 2022-Mar-29 at 23:24

            While I am testing my API I recently started to get the error below.



            Answered 2022-Mar-29 at 13:29

            As of version 2.1.0, werkzeug has removed the as_tuple argument to Client. Since Flask wraps werkzeug and you're using a version that still passes this argument, it will fail. See the exact change on the GitHub PR here.

            You can take one of two paths to solve this:

            1. Upgrade flask

            2. Pin your werkzeug version



            Cypress component testing is not loading CSS while running testcases
            Asked 2022-Mar-29 at 20:26

            We are building web components using stencil. We compile the stencil components and create respective "React component" and import them into our projects.

            While doing so we are able to view the component as expected when we launch the react app. However when we mount the component and execute test cases using cypress we observe that the CSS for these pre built components are not getting loaded.




            Answered 2022-Feb-16 at 02:33

            You can try importing the css in the index.ts or index.js file that will be available in the location -> cypress/support/index.ts



            Run Gradle tests with multiple Java toolchains
            Asked 2022-Mar-16 at 17:22

            I've got a Gradle project which uses a Java version specified with the toolchain API:



            Answered 2022-Mar-16 at 17:22

            I think I worked out the root cause of the issues I was experiencing, I'm posting the solution in case someone else runs into similar issues. I had the following tests configuration:



            Is there a way to unit test top-level statements in C#?
            Asked 2022-Feb-10 at 13:00

            I was fiddling with top-level statements as the entry point for a simple console app, since the new .NET 6 template use them as a default.

            Yet, as the language specification very clearly states:

            Note that the names "Program" and "Main" are used only for illustrations purposes, actual names used by compiler are implementation dependent and neither the type, nor the method can be referenced by name from source code.

            So, if I can't reference the implicit Program class and it's Main() method, would it be possible to write unit tests to check the execution flow of the top-level statements themselves? If so, how?



            Answered 2022-Feb-10 at 13:00

            Yes. One option (since .NET 6) is to make the tested project's internals visible to the test project for example by adding next property to csproj:



            Why does this test fail if someone else runs it at the same time?
            Asked 2022-Feb-09 at 11:50

            I was watching a conference talk (No need to watch it to understand my question but if you're curious it's from 35m28s to 36m28s). The following test was shown:



            Answered 2022-Feb-08 at 21:40

            One of the speakers said: "you can only expect that storing data to a production service works if only one copy of that test is running at a time."

            Right. Imagine if two instances of this code are running. If both Store operations execute before either Load operation takes place, the one whose Store executed first will load the wrong value.

            Consider this pattern where the two instances are called "first" and "second":

            1. First Store executes, stores first random value.
            2. Second Store starts executing, starts storing second random value.
            3. First Load is blocked on the second Store completing due to a lock internal to the database
            4. Second Load is blocked on the Store completing due to a local internal to the database.
            5. Second Store finishes and release the internal lock.
            6. First Load can now execute, it gets second random value.
            7. EXPECT_EQ fails as the first and second random values are different.

            The other speaker said: "Once you add continuous integration in the mix, the test starts failing".

            If a CI system is testing multiple instances of the code at the same time, race conditions like the example above can occur and cause tests to fail as the multiple instances race with each other.



            How to fix Error: useHref() may be used only in the context of a component
            Asked 2022-Feb-02 at 07:26

            How do I resolve this problem. I am just trying to create a test the ensures that that component renders, but for some reason keep getting this problem even though the component is already inside .

            I have read other similar questions on here, and the answers all say to put the component inside the , But that doesn't seem to be the issue for me. Please tell me what it is I'm missing?

            ** My app.tsx**



            Answered 2022-Jan-21 at 19:13

            The SignUpView is missing a routing context in your test. Import a memory router and wrap the component under test so it has a provided routing context.



            Cypress, cy.visit() failed trying to load ESOCKETTIMEDOUT
            Asked 2022-Jan-08 at 14:44

            works on

            cy.visit() failed trying to load ESOCKETTIMEDOUT

            but not on other websites

            enter code here



            Answered 2021-Aug-29 at 17:25


            1. increase timeout

              cy.visit('', { timeout: 30000 })



            Error running tests with flutter : "Failed to load "_test.dart": Shell subprocess ended cleanly. Did main() call exit()?"
            Asked 2021-Dec-23 at 22:29

            Whenever I add new tests to my codebase I encounter the aforementioned error message while running them.



            Answered 2021-Nov-10 at 04:20


            How to test if function is called with async keyword
            Asked 2021-Nov-18 at 08:11

            I want to write a simple test for my vue3 app, test should assert that specific function (updateRoute in this case) is declared with async in different components

            Note: according to my current project I can't isolate this function in a single file to make it reusable




            Answered 2021-Nov-18 at 07:11

            Check if the of the function is equal to 'AsyncFunction':



            React testing library id instead of data-testid?
            Asked 2021-Nov-03 at 10:28

            Would be any difference if I used HTML id attribute instead of data attributes like data-testid?

            Reference for the use of data-testid in testing:




            Answered 2021-Nov-03 at 10:28

            On the surface, I don't see any technical difference.

            But in terms of readability, data-testid may notice other developers that this is used for test case specifically, while id is may be in terms of styling.

            Also id or class selectors can be changed more often if implementation changes.


            Making your UI tests resilient to change


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


            No vulnerabilities reported

            Install ng-numpy-randomstate

            You can install using 'pip install ng-numpy-randomstate' or download it from GitHub, PyPI.
            You can use ng-numpy-randomstate 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.


            An occasionally updated build of the documentation is available on my github pages.
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