bandwidth-monitor | Simple project to continuously measure | Command Line Interface library
kandi X-RAY | bandwidth-monitor Summary
kandi X-RAY | bandwidth-monitor Summary
This projects allows to continuously monitor the bandwidth of your home network and visualize the results over time. It can be useful to make sure that your provider gives you what you pay for!. Ideally, you could make this run on a raspberry pi at home, plugged on your box via Ethernet.
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Top functions reviewed by kandi - BETA
- Run speed test
- Scale a string
- Run fast
- Run the speed test
bandwidth-monitor Key Features
bandwidth-monitor Examples and Code Snippets
Community Discussions
Trending Discussions on bandwidth-monitor
QUESTION
I am writing tests for a Django application and one of my tests is failing with a strange bug where a assertEqual
comparison is failing, even though the objects in both querysets match.
The test is quite big, so I've written a small test to recreate the error:
...ANSWER
Answered 2019-Apr-24 at 10:37It's because though the values of these querySets are equal, they are actually different objects.
What you need is assertQuerysetEqual
. From the docs:
TransactionTestCase.assertQuerysetEqual(qs, values, transform=repr, ordered=True, msg=None)[https://docs.djangoproject.com/en/2.2/topics/testing/tools/] Asserts that a queryset qs returns a particular list of values values.
The comparison of the contents of qs and values is performed using the function transform; by default, this means that the repr() of each value is compared. Any other callable can be used if repr() doesn’t provide a unique or helpful comparison.
By default, the comparison is also ordering dependent. If qs doesn’t provide an implicit ordering, you can set the ordered parameter to False, which turns the comparison into a collections.Counter comparison. If the order is undefined (if the given qs isn’t ordered and the comparison is against more than one ordered values), a ValueError is raised.
Output in case of error can be customized with the msg argument.
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Install bandwidth-monitor
You can use bandwidth-monitor 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.
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