Skip to main content

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

Changelog

Patch notes can be found in CHANGELOG.md.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hypothesmith-0.3.2.tar.gz (25.5 kB view details)

Uploaded Source

Built Distribution

hypothesmith-0.3.2-py3-none-any.whl (19.2 kB view details)

Uploaded Python 3

File details

Details for the file hypothesmith-0.3.2.tar.gz.

File metadata

  • Download URL: hypothesmith-0.3.2.tar.gz
  • Upload date:
  • Size: 25.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for hypothesmith-0.3.2.tar.gz
Algorithm Hash digest
SHA256 936bc946e684a508f09a50532e4b1f068edb20ac61d788cf771d822fb131e393
MD5 d85ca3ad151f4eb146dd9d4b28fcee94
BLAKE2b-256 07ae8cb49375e778063fd0568d9bce0769937fc6429edb19b230a33477036f3c

See more details on using hashes here.

Provenance

File details

Details for the file hypothesmith-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: hypothesmith-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 19.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for hypothesmith-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6029458bb5b883c33530f7d61d7c7bd8b1f9fd9f96350651f3f2f52ff4915f42
MD5 1c10bbf44c7b0b5c9431475256806e1b
BLAKE2b-256 fead83eead79b570011b2e8f75f20a842308b83d7ad9c03570dc636071dd00fa

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page