Update scipy requirement from ~=1.4.1 to ~=1.7.0

[dependabot-preview]

Updates the requirements on scipy to permit the latest version.

Release notes

Sourced from scipy's releases.

SciPy 1.7.0 Release Notes

SciPy 1.7.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.7.x branch, and on adding new features on the master branch.

This release requires Python 3.7+ and NumPy 1.16.5 or greater.

For running on PyPy, PyPy3 6.0+ is required.

Highlights of this release

• A new submodule for quasi-Monte Carlo, scipy.stats.qmc, was added
• The documentation design was updated to use the same PyData-Sphinx theme as NumPy and other ecosystem libraries.
• We now vendor and leverage the Boost C++ library to enable numerous improvements for long-standing weaknesses in scipy.stats
• scipy.stats has six new distributions, eight new (or overhauled) hypothesis tests, a new function for bootstrapping, a class that enables fast random variate sampling and percentile point function evaluation, and many other enhancements.
• cdist and pdist distance calculations are faster for several metrics, especially weighted cases, thanks to a rewrite to a new C++ backend framework
• A new class for radial basis function interpolation, RBFInterpolator, was added to address issues with the Rbf class.

We gratefully acknowledge the Chan-Zuckerberg Initiative Essential Open Source Software for Science program for supporting many of the improvements to scipy.stats.

New features

scipy.cluster improvements

An optional argument, seed, has been added to kmeans and kmeans2 to set the random generator and random state.

... (truncated)

Commits

• 44e31b1 REL: set version to 1.7.0 'final'
• a022547 Merge pull request #14245 from stefanv/1.7.x-release-notes-ecosystem
• 8e623f8 Rephrase collection of libraries that use PyData-Sphinx
• 165731a REL: set version to 1.7.0rc2
• 48f3d64 Merge pull request #14231 from tylerjereddy/treddy_170_rc2_backports
• 3d9deb2 DOC: update 1.7.0 relnotes
• 1e6f0d4 BLD: some clean ups optimize/_highs/setup.py
• 9ba84e3 BLD: fix cython_optimize build config
• 1e447d7 REL: stop shipping generated Cython sources in sdist
• 5e53a14 MAINT: download-wheels missing import
• Additional commits viewable in compare view

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