Hypothesis strategies for generating Python programs, something like CSmith
Project description
hypothesmith
Hypothesis strategies for generating Python programs, something like CSmith.
This is definitely pre-alpha, but if you want to play with it feel free! You can even keep the shiny pieces when - not if - it breaks.
Get it today with pip install hypothesmith
,
or by cloning the GitHub repo.
You can run the tests, such as they are, with tox
on Python 3.6 or later.
Use tox -va
to see what environments are available.
Usage
This package provides two Hypothesis strategies for generating Python source code.
The generated code will always be syntatically valid, and is useful for testing parsers, linters, auto-formatters, and other tools that operate on source code.
DO NOT EXECUTE CODE GENERATED BY THESE STRATEGIES.
It could do literally anything that running Python code is able to do, including changing, deleting, or uploading important data. Arbitrary code can be useful, but "arbitrary code execution" can be very, very bad.
hypothesmith.from_grammar(start="file_input", *, auto_target=True)
Generates syntactically-valid Python source code based on the grammar.
Valid values for start
are "single_input"
, "file_input"
, or
"eval_input"
; respectively a single interactive statement, a module or
sequence of commands read from a file, and input for the eval() function.
If auto_target
is True
, this strategy uses hypothesis.target()
internally to drive towards larger and more complex examples. We recommend
leaving this enabled, as the grammar is quite complex and only simple examples
tend to be generated otherwise.
hypothesmith.from_node(node=libcst.Module, *, auto_target=True)
Generates syntactically-valid Python source code based on the node types
defined by the LibCST
project.
You can pass any subtype of libcst.CSTNode
. Alternatively, you can use
Hypothesis' built-in from_type(node_type).map(lambda n: libcst.Module([n]).code
,
after Hypothesmith has registered the required strategies. However, this does
not include automatic targeting and limitations of LibCST may lead to invalid
code being generated.
Notable bugs found with Hypothesmith
- BPO-38953
tokenize
->untokenize
roundtrip bugs. lib2to3
errors on \r in comment- Black fails on files ending in a backslash
- At least three round-trip bugs in LibCST (search commits for "hypothesis")
- Invalid code generated by LibCST
Changelog
0.1.0 - 2020-04-24
- Added
auto_target=True
argument to thefrom_node()
strategy. - Improved
from_node()
generation of comments and trailing whitespace.
0.0.8 - 2020-04-23
- Added a
from_node()
strategy which usesLibCST
to generate source code. This is a proof-of-concept rather than a robust tool, but IMO it's a pretty cool concept.
0.0.7 - 2020-04-19
- The
from_grammar()
strategy now takes anauto_target=True
argument, to drive generated examples towards (relatively) larger and more complex programs.
0.0.6 - 2020-04-08
- support for non-ASCII identifiers
0.0.5 - 2019-11-27
- Updated project metadata and started testing on Python 3.8
0.0.4 - 2019-09-10
- Depends on more recent Hypothesis version, with upstreamed grammar generation.
- Improved filtering rejects fewer valid examples, finding another bug in Black.
0.0.3 - 2019-08-08
Checks validity at statement level, which makes filtering much more efficient. Improved testing, input validation, and code comments.
0.0.2 - 2019-08-07
Improved filtering and fixing of source code generated from the grammar.
This version found a novel bug: "pass #\\r#\\n"
is accepted by the
built-in compile()
and exec()
functions, but not by black
or lib2to3
.
0.0.1 - 2019-08-06
Initial release. This is a minimal proof of concept, generating from the
grammar and rejecting it if we get errors from black
or tokenize
.
Cool, but while promising not very useful at this stage.
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