Name: subpy
Owner: Continuum Analytics, Inc.
Description: Python subsets
Created: 2015-04-23 00:02:28.0
Updated: 2017-09-17 21:23:02.0
Pushed: 2013-06-13 16:27:44.0
Homepage: null
Size: 98
Language: Python
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Subpy is a library for defining subsets of the Python language and querying ASTs for language-level properties that are specified as sets of features.
Many projects aim to work with specific subsets of Python that are amenable to static analysis and type inference, subpy is simply a static analysis library for checking for subsets with the intention of providing more informative error reporting for end-users.
The input to the checker can be either a Module, Function or
source code as string. It returns a dictionary of lists keyed by
the feature enumeration code and the values with the line
numbers where the feature is detected.
from subpy import checker
import io
print checker(io)
[98],
[78, 81, 84, 87],
[78, 81, 84, 87],
[81, 84, 87],
[92, 96],
[79]}
Matching the feature codes with the keys in the dictionary we see
the information this is telling us that in the io module in
the standard library:
A example using the function level checker:
subpy import checker
subpy.features import ListComp
example1():
return [x**2 for x in range(25)]
example2():
return 'hello'
ures = checker(example1)
istComp in features:
print 'You used a list comprehension on lines %r' % (features[ListComp])
ures = checker(example2)
istComp not in features:
print 'You did not use any list comprehensions!'
For example if we want to exclude the use of List Comprehensions and Set Comprehensions we could define a subset of Python that excludes these features.
thonSubset = FullPython - { ListComp, SetComp }
The validator command can be used to raise when unsupported
features are detected in the given source. For example, we'll
support the python feature set excluding list comprehensions and
set comprehensions.
subpy import validator, FullPython, FeatureNotSupported
subpy.features import ListComp, SetComp
example():
return [x**2 for x in range(25)]
eatures = FullPython - { ListComp, SetComp }
dator(example, features=my_features)
ython
le "<stdin>", line 2
return [x**2 for x in range(25)]
^
y.validate.FeatureNotSupported: ListComp
Subpy is currently able to parse the entire standard library and can be used to query some interesting trivia facts.
subpy import detect
subpy.stdlib import libraries
subpy.features import Metaclasses, MInheritance, Exec
rt importlib
t('Libraries with Multiple Inheritance and Metaclasses:')
lib in libraries:
mod = importlib.import_module(lib)
features = detect(mod)
if Metaclasses in features and MInheritance in features:
print(lib)
aries with Multiple Inheritance and Metaclasses:
Or to query for potentially unsafe code execution:
t('Libraries with Exec')
lib in libraries:
mod = importlib.import_module(lib)
features = detect(mod)
if Exec in features:
print(lib)
aries with Exec
ks
c
ion
til
e
it
file
est
y
ile
ections
Currently supported features are an enumeration with values given below:
To test run:
thon -m unittest discover subpy/tests
The core logic is self-contained in features.py and
validate.py which will function as standalone modules without
subpy package, which includes the test suite. There are no
dependencies other than the standard library.
Copyright (c) 2013, Continuum Analytics, Inc. All rights reserved.
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