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Add stub of v0.7.0 release notes
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docs/release-notes/v0.7.0.rst

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|release v0.7.0|_
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=================
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This is a minor release from ``v0.6.3`` → ``v0.7.0``.
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Important Notes
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---------------
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* NEW IMPORTANT STUFF GOES HERE
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* The minimum required backend versions have been updated to support added features:
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- JAX backend requires ``jax>=0.2.10``
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- PyTorch backend requires ``torch>=1.10.0``
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- TensorFlow backend requires ``tensorflow>=2.3.1``
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Fixes
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-----
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* FIXES HERE
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Features
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--------
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Python API
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~~~~~~~~~~
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* Supported options for :func:`pyhf.infer.hypotest` can now be passed as kwargs
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through the :func:`pyhf.infer.intervals.upperlimit` API.
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(PR :pr:`1613`)
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This now enables things like using :class:`pyhf.infer.calculators.ToyCalculator`
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as the calculator used for the hypothesis test scan:
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.. code:: pycon
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>>> import numpy as np
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>>> import pyhf
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>>> pyhf.set_backend("jax")
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>>> model = pyhf.simplemodels.uncorrelated_background(
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... signal=[12.0, 11.0], bkg=[50.0, 52.0], bkg_uncertainty=[3.0, 7.0]
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... )
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>>> observations = [51, 48]
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>>> data = pyhf.tensorlib.astensor(observations + model.config.auxdata)
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>>> scan = np.linspace(0, 5, 21)
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>>> obs_limit, exp_limits, (scan, results) = pyhf.infer.intervals.upperlimit(
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... data, model, scan, return_results=True, calctype="toybased", ntoys=3000
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... )
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Contributors
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------------
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``v0.7.0`` benefited from contributions from:
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* Alexander Held
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* Mason Proffitt
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* Lars Henkelmann
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* Aryan Roy
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* Graeme Watt
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.. |release v0.7.0| replace:: ``v0.7.0``
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.. _`release v0.7.0`: https://github.com/scikit-hep/pyhf/releases/tag/v0.7.0

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