fiddy
Finite difference methods, for applications including gradient computation and gradient checks.
Important notes
The output of your function of interest should be a NumPy array. If your function is scalar-valued, change it to a NumPy array with:
import numpy as np
def function(input_value: float) -> np.ndarray:
scalar_output_value = old_function(input_value)
return np.array([scalar_output_value])
Installation
Currently under development, please install from source.
pip install -e .
Can also be installed from PyPI
pip install fiddy
Release files for fiddy 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fiddy-0.0.4.tar.gz | 25.9 kB | Details |
Release files / fiddy-0.0.4.tar.gz
| Download URL | fiddy-0.0.4.tar.gz |
|---|---|
| Size | 25.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a3a4f1f98345cbe18171d879b54aa9d255bbf2e73d3ed93b83fd3c325a0e5364
|
|
BLAKE2b-256 checksum How to use checksums |
1d132729868490ce1b69b5a04ce70630b6d2195dba6fe803b0f822a743158e6a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 Jul 6, 2026.
Transparency log
