simple-parsing
allows you to transform your uglyargparse
scripts into beautifully structured, strongly typed little works of art. This isn't a fancy, complicated new command-line tool either,this simply adds new features to plain-old argparse!
Usingdataclasses,simple-parsing
makes it easier to share and reuse command-line arguments -no more copy pasting!
Supports inheritance,nesting,easy serialization to json/yaml, automatic help strings from comments, and much more!
# examples/demo.py
fromdataclassesimportdataclass
fromsimple_parsingimportArgumentParser
parser=ArgumentParser()
parser.add_argument("--foo",type=int,default=123,help="foo help")
@dataclass
classOptions:
"""Help string for this group of command-line arguments" ""
log_dir:str# Help string for a required str argument
learning_rate:float=1e-4# Help string for a float argument
parser.add_arguments(Options,dest="options")
args=parser.parse_args()
print("foo:",args.foo)
print("options:",args.options)
$Python examples/demo.py --log_dir logs --foo 123
foo: 123
options: Options(log_dir='logs', learning_rate=0.0001)
$Python examples/demo.py --help
usage: demo.py [-h] [--foo int] --log_dir str [--learning_rate float]
optional arguments:
-h, --help show this help message and exit
--foo int foo help (default: 123)
Options ['options']:
Help string for this group of command-line arguments
--log_dir str Help string for a required str argument (default:
None)
--learning_rate float
Help string for a float argument (default: 0.0001)
For a simple use-case, where you only want to parse a single dataclass, you can use thesimple_parsing.parse
orsimple_parsing.parse_known_args
functions:
options:Options=simple_parsing.parse(Options)
# or:
options,leftover_args=simple_parsing.parse_known_args(Options)
pip install simple-parsing
API Documentation(Under construction)
-
As developers, we want to make it easy for people coming into our projects to understand how to run them. However, a user-friendly
--help
message is often hard to write and to maintain, especially as the number of arguments increases.With
simple-parsing
,your arguments and their descriptions are defined in the same place, making your code easier to read, write, and maintain. -
(no more copy-pasting)
When you need to add a new group of command-line arguments similar to an existing one, instead of copy-pasting a block of
argparse
code and renaming variables, you can reuse your argument class, and let theArgumentParser
take care of adding relevant prefixes to the arguments for you:parser.add_arguments(Options,dest="train") parser.add_arguments(Options,dest="valid") args=parser.parse_args() train_options:Options=args.train valid_options:Options=args.valid print(train_options) print(valid_options)
$Python examples/demo.py \ --train.log_dir "training" \ --valid.log_dir "validation" Options(log_dir='training', learning_rate=0.0001) Options(log_dir='validation', learning_rate=0.0001)
These prefixes can also be set explicitly, or not be used at all. For more info, take a look at thePrefi xing Guide
-
It's easy to choose between different argument groups of arguments, with the
subgroups
function! -
Default values for command-line arguments can easily be read from many different formats, including json/yaml!
-
Easily save/load configs to
json
oryaml
!. -
You can easily customize an existing argument class by extending it and adding your own attributes, which helps promote code reuse across projects. For more info, take a look at theinheritance example
-
Dataclasses can be nested within dataclasses, as deep as you need!
-
This is sometimes tricky to do with regular
argparse
,butsimple-parsing
makes it a lot easier by using the Python 's builtin type annotations to automatically convert the values to the right type for you. As an added feature, by using these type annotations,simple-parsing
allows you to parse nested lists or tuples, as can be seen inthis example -
(More to come!)
Additional examples for all the features mentioned above can be found in theexamples folder