Antropy

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- Switch to modern python packaging
- Use ruff instead of black/flake8

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- Simplify Katz FD implementation. https://github.com/raphaelvallat/antropy/pull/30
- Add tolerance parameter to the approximate and sample entropy. https://github.com/raphaelvallat/antropy/pull/32
- Fix for scikit-learn ≥ 1.3 in approximate and sample entropy. https://github.com/raphaelvallat/antropy/pull/36

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This version requires numba >= 0.57.

a. Allow readonly arrays in numba jit signature. https://github.com/raphaelvallat/antropy/pull/23
b. Improved sample entropy kernel. https://github.com/raphaelvallat/antropy/pull/25
c. Fox for KDTree.valid_metrics which is method since sklearn 1.3. https://github.com/raphaelvallat/antropy/pull/30

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a. :py:func:`antropy.perm_entropy` will now return the average entropy across all delays if a list or range of delays is provided.
b. Handle the limit of p = 0 in functions that evaluate the product p * log2(p), to give 0 instead of nan (see `PR3 <https://github.com/raphaelvallat/antropy/pull/3>`_).
c. :py:func:`antropy.detrended_fluctuation` will now return alpha = 0 when the correlation coefficient of the fluctuations of an input signal is 0 (see `PR21 <https://github.com/raphaelvallat/antropy/pull/21>`_).

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.. important:: The package has now been renamed AntroPy (previously EntroPy)!

a. Faster implementation of :py:func:`antropy.lziv_complexity` (see `PR1 <https://github.com/raphaelvallat/entropy/pull/1>`_). Among other improvements, strings are now mapped to UTF-8 integer representations.

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a. Added the :py:func:`entropy.num_zerocross` function to calculate the (normalized) number of zero-crossings on N-D data.
b. Added the :py:func:`entropy.hjorth_params` function to calculate the mobility and complexity Hjorth parameters on N-D data.
c. Add support for N-D data in :py:func:`entropy.spectral_entropy`, :py:func:`entropy.petrosian_fd` and :py:func:`entropy.katz_fd`.
d. Use the `stochastic <https://github.com/crflynn/stochastic>`_ package to generate stochastic time-series.