python-nose | nose extends unittest to make

by obeattie Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | python-nose Summary

python-nose is a Python library. python-nose has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

nose extends unittest to make testing easier. Automatically synchronized with the official Mercurial repository on Google Code every 5 minutes (including all branches and tags).

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Support

python-nose has a low active ecosystem.

It has 11 star(s) with 6 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

python-nose has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-nose is current.

Quality

python-nose has no bugs reported.

Security

python-nose has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

python-nose does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

python-nose releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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

Top functions reviewed by kandi - BETA

kandi has reviewed python-nose and discovered the below as its top functions. This is intended to give you an instant insight into python-nose implemented functionality, and help decide if they suit your requirements.

Parse a module
Get attribute from method
Calls post mortem
Checks if the given object is a class
Generate coverage report
Compute the percentage of covered and missed values
Generate HTML
Configure attributes
Convert val to list
Check if this context has any fixtures in the context
Add common options
Add options to the given parser
Configure the plugin
Decorator to raise AssertionError
Print the profiler
Generate a documentation directive
Add an error to testlist
Print a summary of the tests
Add options for the plugin
Add an error
Add a test failure
A decorator that wraps a function
Write the test suite
Append the result to the report
Close profiling
Loads tests from the given names

Get all kandi verified functions for this library.

python-nose Key Features

No Key Features are available at this moment for python-nose.

python-nose Examples and Code Snippets

No Code Snippets are available at this moment for python-nose.

Community Discussions

Trending Discussions on python-nose

`No module named nose_parameterized` during theano installation

How catkin is used with ROS2?

Using numpy from the host OS for a spark container

Installing MXNet framework. on Raspberry Pi - SciPy hanging

Cmake not detecting boost-python when installing ROS

How do I install packages for python ML on ubuntu?

QUESTION

`No module named nose_parameterized` during theano installation

Asked 2020-May-19 at 02:22

At the moment I am trying to install theano on my ubuntu 16.04 system with cuda support. The installation process itself went well until I tried to test the installation:

...

ANSWER

Answered 2017-Jan-17 at 16:51

Found the problem, anaconda was looking in its own folder. So to solve, I did:
conda install nose-parameterized

Source https://stackoverflow.com/questions/41678837

QUESTION

How catkin is used with ROS2?

Asked 2019-Oct-31 at 10:48

I am currently using a ros package called smach with melodic. However, now I need to upgrade my melodic version to crystal to support ROS2 since the project uses DDS. SMACH package is dependent on catkin. Is it possible to create a catkin workspace with crystal (ROS2)? I tried the following:

...

ANSWER

Answered 2019-Apr-25 at 22:28

It seems developers use ament to build their packages in ROS2

Example

Tutorial

Source https://stackoverflow.com/questions/55851501

QUESTION

Using numpy from the host OS for a spark container

Asked 2019-May-30 at 06:35

I want to use the Docker image with Apache Spark on Ubuntu 18.04.

The more popular image from the hub has Spark 1.6. The second image has a more recent version Spark 2.2

No image has numpy installed. The basic examples for Spark MLlib main guide require it.

I've tried running Dockerfile for installing numpy unsuccessfully, adding this to the original Dockerfile for Spark 2.2 image:

...

ANSWER

Answered 2019-May-30 at 06:35

Dockerfile:

Source https://stackoverflow.com/questions/56356599

QUESTION

Installing MXNet framework. on Raspberry Pi - SciPy hanging

Asked 2018-Oct-15 at 04:59

I'm attempting to setup AWS Greengrass with mxnet for Machine Learning on a Raspberry Pi.

When running ./mxnet_installer.sh from https://docs.aws.amazon.com/greengrass/latest/developerguide/ml-console.html#install-mxnet it takes ages and just disconnects my session with PuTTY.

It seems to be hanging on Running setup.py bdist_wheel for scipy - it sits there for about 2 hours before the PuTTY session is lost.

I'm executing the command on a clean PI, all all that has been done beforehand is modules 1 to 6 from https://docs.aws.amazon.com/greengrass/latest/developerguide/gg-gs.html

...

ANSWER

Answered 2018-Oct-15 at 04:59

Increase swap space.
Install SciPy manually. Build from sources. See this answer
Run mxnet_installer

Source https://stackoverflow.com/questions/52641197

QUESTION

Cmake not detecting boost-python when installing ROS

Asked 2018-Sep-30 at 03:35

I have been trying to install ROS on my Mac and have gotten around the errors with different libraries depending on different versions of boost.

However, it seems that one library is not even detecting boost-python.

Here is the error I get:

...

ANSWER

Answered 2018-Sep-29 at 19:17

You've got Boost installed, but have you built the Boost binaries? See

unix-prepare-to-use-a-boost-library-binary

Many Boost libraries are header-only and don't require building a binary, but boost-python does. See this answer for a list of libraries that do require building:

Which Boost libraries are header-only?

Source https://stackoverflow.com/questions/52566234

QUESTION

How do I install packages for python ML on ubuntu?

Asked 2018-Feb-11 at 18:14

I am having problems trying to install the following packages on Ubuntu:

scipy
numpy
matplotlib
pandas
sklearn

When I execute the command:
sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose

I get the following message:
Reading package lists... Done Building dependency tree Reading state information... Done build-essential is already the newest version (12.1ubuntu2). You might want to run 'apt-get -f install' to correct these: The following packages have unmet dependencies. libatlas-dev : Depends: libblas-dev but it is not going to be installed libatlas3-base : Depends: libgfortran3 (>= 4.6) but it is not going to be installed Depends: libblas-common but it is not going to be installed python-dev : Depends: libpython-dev (= 2.7.11-1) but it is not going to be installed Depends: python2.7-dev (>= 2.7.11-1~) but it is not going to be installed python-scipy : Depends: python-decorator but it is not going to be installed Depends: libgfortran3 (>= 4.6) but it is not going to be installed Recommends: python-imaging but it is not going to be installed python-setuptools : Depends: python-pkg-resources (= 20.7.0-1) but it is not going to be installed rstudio : Depends: libjpeg62 but it is not going to be installed Depends: libgstreamer0.10-0 but it is not going to be installed Depends: libgstreamer-plugins-base0.10-0 but it is not going to be installed Recommends: r-base (>= 2.11.1) but it is not going to be installed E: Unmet dependencies. Try 'apt-get -f install' with no packages (or specify a solution).

So the packages are failing to install, but I really need these packages to begin a new project, how can I successfully install these packages?

...

ANSWER

Answered 2018-Feb-11 at 07:08

U cannot install it using apt-get. u need to install pip first. After you install pip, just google about how to install different packages using pip

Source https://stackoverflow.com/questions/48729174

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

Vulnerabilities

No vulnerabilities reported

Install python-nose

You can download it from GitHub.
You can use python-nose 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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