ExploTest
ExploTest is a tool that turns exploratory test runs into unit tests by capturing and serializing run-time arguments.
By adding the @explore decorator to any function, ExploTest automatically generates unit tests with assertions based
on the previous execution values.
Installation
pip install ExploTest
Local Installation
python3 -m pip install -e <path/to/explotest>
Usage
On any function or method (except for closures), add the @explore decorator. When this function (the
function-under-test or FUT) is called at runtime, a
unit test will be generated and saved in same directory as the file of the FUT.
The @explore decorator accepts two optional parameters, mode and explicit_record.
Configuration
mode determines how the run-time arguments are reconstructed in the unit test:
- Setting this to
"p"or"pickle"results in ExploTest "pickling" (a Python specific binary serialization) each argument into a file, then loading this file in the unit test. ExploTest uses the dill library for pickling, which enables support for function arguments among others. However, objects that cannot be pickled ( e.g., Pandas DataFrames) cannot be saved. This is the default behaviour. - Setting this to
"a"results in ExploTest attempting to reconstruct the parameter by creating a new object and setting all its fields to the runtime argument. For example, when running the code
class Bar:
x = 1
@explore(mode="a")
def baz(b):
return
baz(Bar())
the unit test
@pytest.fixture
def generate_b():
clone_b = scratchpad.Bar.__new__(scratchpad.Bar)
setattr(clone_b, 'x', 1)
return clone_b
def test_baz(generate_b):
b = generate_b
return_value = scratchpad.baz(b)
assert return_value is None
is generated. This will not work for some objects, namely ones that are "more" than just a collection of fields or have
fields that cannot be setattr'd. In this case,
ExploTest will try to fall back on pickling.
explicit_record determines when ExploTest generates a unit test. By default, this is False and so ExploTest
generates a unit test everytime
a function with the @explore decorator is called. However, this may become unwieldy if the function is called many
times and
only certain tests are desired. By setting explicit_record to True in a function, a unit test will only be created
if the function body calls
explotest_record(). Note that due to implementation details, this is not thread safe.
For example,
@explore(explicit_record=True)
def fib(n):
if n <= 1:
explotest_record()
return 1
return fib(n - 1) + fib(n - 2)
A unit test will only be generated for when n <= 1.
Development Setup
Create a venv, then install pip-tools. Run pip-compile as specified.
python3 -m venv .venv
pip install pip-tools
pip-compile -o requirements.txt ./pyproject.toml
pip install -r requirements.txt
Copyright
ExploTest is free and open source software, licensed under the GNU LGPL v3 or any later version.
Metadata
Release files for ExploTest 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| explotest-1.0.4.tar.gz | 26.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| explotest-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.0 kB
Release files / explotest-1.0.4.tar.gz
| Download URL | explotest-1.0.4.tar.gz |
|---|---|
| Size | 26.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / explotest-1.0.4-py3-none-any.whl
| Download URL | explotest-1.0.4-py3-none-any.whl |
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| Size | 24.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 22, 2026.
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