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Project Description

In collections.py there are some tools for working with lists, sets, dicts, and iterables more declaratively.

In data.py there are some functiions to more concisely read and write yaml in the most common use cases.

In exceptions.py there are some error handling tools. They are all callback-oriented, so not necessarily user-friendly; mostly they are intended for use in decorators.py.

In decorators.py there are some general decorator tools, in particular one to wrap a function in a debugger call on error and one to attach context to exception messages. There’s also a wraptify function that will convert decorators that use functools.wraps (and therefore clobber a lot of metadata from the target) into decorators which preserve metadata using wrapt.decorator.

In validation.py there are some general validation checks that seem to come in handy in lots of contexts. For example, making sure that a dict has all of a set of required keys, and all other keys are part of some optional set.

Release History

Release History

0.1.4

This version

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0.1.3

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0.1.2

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0.1.1

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0.1.0

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0.0.6

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0.0.5

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0.0.4

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0.0.3

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Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.0.2

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0.0.1

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Changelog content for this version goes here.

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
tdx-0.1.4.tar.gz (13.5 kB) Copy SHA256 Checksum SHA256 Source May 1, 2017

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