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Released:

Tool to conveniently describe any Python datastructure

Project description

Code to dump out any Python object to text in a way that aids debugging /useful logging.

Dump Python data structures (including class instances) in a nicely-nested, easy-to-read form. Handles recursive data structures properly,and has sensible options for limiting the extent of the dump both bysimple depth and by some rules for how to handle contained instances.

Copyright (c) 2009 Python Software FoundationCopyright (c) 2014 Joshua Richardson, Chegg Inc.

Dumping is generally accessed through the ‘dump()’ function:

dump (any_python_object)

and is controlled by setting module-level global variables:

import dumper

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dumper.max_depth = 10 # default is 5dumper.dump (really_deep_object)

‘dump()’ is nearly equivalent to ‘print’ with backquotes fornon-aggregate values (ie. anything except lists, tuples, dictionaries,and class instances). That is, strings, integers, floats, and othernumeric types are printed out “as-is”, and funkier things like classobjects, function objects, and type objects are also dumped using theirtraditional Python string representation. For example:

‘dump()’ is slightly more interesting than ‘print’ for “short” lists,tuples, and dictionaries. (Lists and tuples are “short” when they haveno more than 10 elements and all elements are strings or numbers;dictionaries are short when they have no more than 5 key/value pairs andall keys and values are strings or numbers.)

For “short” lists and tuples, you get the ‘id()’ of the object and itscontents on one line:

“Short” dictionaries are similar:

‘dump()’ is considerably more interesting than ‘print’ for lists,tuples, and dictionaries that include more complex objects or are longerthan the 10-element/5-pair limit. A long but simple list:

(Ellipsis added: ‘dump()’ just dumps the whole thing.) Nested listsalso get multiline formatting, no matter how short and simple:

Note that since the inner list is “short” it is formatted on one line.Deeply nested lists and tuples are more fun:

Obviously, this is very handy for debugging complicated data structures.Recursive data structures are not a problem:

which is bulkier, but somewhat more informative than “[1, 2, 3, […]]”.

Dictionaries with aggregate keys or values also get multiline displays:

Note that when dictionaries are dumped in multiline format, they aresorted by key. In single-line format, ‘dump()’ just uses ‘repr()’, so“short” dictionaries come out in hash order. Also, no matter howcomplicated dictionary keys are, they come out all on one line beforethe colon. (Using deeply nested dictionary keys requires a special kindof madness, though, so you probably know what you’re doing if you’reinto that.) Dictionary values are treated much like list/tupleelements (one line if short, indented multiline display if not).

‘dump()’ is much more interesting than ‘print’ for class instances.Simple example:

A more interesting example using a contained instance and more recursion:

Dumping a large instance that contains several other large instance getsout of control pretty quickly. ‘dump()’ has a couple of options to helpyou get a handle on this; normally, these are set by assigning to moduleglobals, but there’s a nicer OO way of doing it if you like. Forexample, if you don’t want ‘dump()’ to descend more than 3 levels intoyour nested data structure:

But note that max_depth does not apply to “short” lists (or tuples ordictionaries):

Since “short” lists (etc.) can’t contain other aggregate objects, thisonly bends the “max_depth” limit by one level, though, and it doesn’tincrease the amount of output (but it does increase the amount of usefulinformation in the dump).

‘max_depth’ is a pretty blunt tool, though; as soon as you set it to N,you’ll find a structure of depth N+1 that you want to see all of. Andanyways, dumps usually get out of control as a result of dumping largecontained class instances: hence, the more useful control is to tell‘dump()’ when to dump contained instances.

The default is to dump contained instances when the two classes (that ofthe parent and that of the child) are from the same module. Thisapplies to classes defined in the main module or an interactive sessionas well, hence:

Note that we have dumped f.b, the contained instance of Bar. We cancontrol dumping of contained instances using the ‘instance_dump’ global;for example, to completely disable dumping contained instances, set itto ‘none’:

This is the most restrictive mode for contained instance dumping. Thedefault mode is ‘module’, meaning that ‘dump()’ will only dump containedinstances if both classes (parent and child) were defined in the samemodule. If the two classes were defined in different modules, e.g.

then dumping the container (‘f’) results in something like

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Of course, you can always explicitly dump the contained instance:

The next most permissive level is to dump contained instances as long astheir respective classes were defined in the same package. Continuingthe above example:

But if the Foo and Bar classes had come from modules in differentpackages, then dumping ‘f’ would look like:

Only if you set ‘instance_dump’ to its most permissive setting, ‘all’,will ‘dump()’ dump contained instances of classes in completelydifferent packages:

CHANGELOG:

1.2.0: Added multi-argument support in dumps()1.1.0: Added more supported versions of python and a test framework.1.0.4: Fixed problem in Python 2 when using io.StringIO with dumper.1.0.3: Fixed problems in Python 3 related to trying to use decode as member of str.1.0.2: Include README.md and MANIFEST.in in the distribution.1.0.1: Include the package in the distribution.

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