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docs: Add v0.7.0 release notes (#1705)
* Add release notes for pyhf v0.7.0. * Add Graeme Watt to contributors list.
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|release v0.7.0|_ | ||
================= | ||
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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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* Please note this release has **API breaking changes** and carefully read these | ||
notes while updating your code to the ``v0.7.0`` API. | ||
* All backends are now fully compatible and tested with | ||
`Python 3.10 <https://peps.python.org/pep-0310/>`_. | ||
(PR :pr:`1809`) | ||
* The ``pyhf.tensorlib.poisson`` API now allows for the expected rate parameter | ||
``lam`` to be ``0`` in the case that the observed events ``n`` is ``0`` given | ||
that the limit :math:`\lim_{\lambda \to 0} \,\mathrm{Pois}(n | \lambda)` is well defined. | ||
(PR :pr:`1657`) | ||
* :func:`pyhf.readxml.parse` now supports reading of XML configurations with absolute paths. | ||
To support this, ``pyhf xlm2json`` now has a ``-v/--mount`` option. | ||
(PR :pr:`1909`) | ||
* Support for model specifications without a parameter of interest defined is added. | ||
(PRs :pr:`1638`, :pr:`1636`) | ||
* The :class:`pyhf.parameters.paramsets` classes ``suggested_fixed`` attribute behavior has | ||
been updated. | ||
To access the behavior used in ``pyhf`` ``v0.6.x`` use the ``suggested_fixed_as_bool`` attribute. | ||
(PR :pr:`1639`) | ||
* ``pyhf.pdf._ModelConfig.par_names`` is changed to be a property attribute. | ||
(PR :pr:`2027`) | ||
* The order of model parameters is now sorted by model parameter name. | ||
(PR :pr:`1625`) | ||
* Support for writing user custom modifiers is added. | ||
(PRs :pr:`1625`, :pr:`1644`) | ||
* Performance in :class:`pyhf.readxml` is increased by improvements to | ||
:func:`pyhf.readxml.import_root_histogram`. | ||
(PR :pr:`1691`) | ||
* :func:`pyhf.contrib.utils.download` is now more robust to different target file types. | ||
(PRs :pr:`1697`, :pr:`1704`) | ||
* A ``pyhf.default_backend`` has been added that is configurable through a | ||
``default`` kwarg in :func:`pyhf.set_backend`. | ||
(PR :pr:`1646`) | ||
This is part of work to make ``pyhf`` fully automatic differentiable. | ||
(Issue :issue:`882`) | ||
* Schema validation now allows for both :class:`list` and ``pyhf.tensorlib`` objects | ||
to exist in the model specification. | ||
(PR :pr:`1647`) | ||
* The minimum required dependencies have been updated to support added features: | ||
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- ``scipy>=1.2.0`` (PR :pr:`1274`) | ||
- ``click>=8.0.0`` (PRs :pr:`1909`, :pr:`1958`) | ||
- ``jsonschema>=4.15.0`` (PRs :pr:`1976`, :pr:`1979`) | ||
- ``importlib_resources>=1.4.0`` (for Python 3.7, 3.8) (PR :pr:`1979`) | ||
- ``typing_extensions>=3.7.4.3`` (for Python 3.7 only) (PRs :pr:`1940`, :pr:`1961`) | ||
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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``, ``jaxlib>=0.1.61`` (PR :pr:`1962`) | ||
- PyTorch backend requires ``torch>=1.10.0`` (PR :pr:`1657`) | ||
- TensorFlow backend requires ``tensorflow>=2.7.0``, ``tensorflow-probability>=0.11.0`` (PRs :pr:`1962`, :pr:`1657`) | ||
- iminuit optimizer requires ``iminuit>=2.7.0`` (PR :pr:`1895`) | ||
- ``'xmlio'`` extra requires ``uproot>=4.1.1`` (PR :pr:`1567`) | ||
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Fixes | ||
----- | ||
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* Use improvements to ``jsonschema.RefResolver`` to avoid | ||
``jsonschema.exceptions.RefResolutionError``. | ||
(PR :pr:`1976`) | ||
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* Use the conditional maximum likelihood estimators of the nuisance parameters | ||
to create the sampling distributions for :class:`pyhf.infer.calculators.ToyCalculator`. | ||
(PR :pr:`1610`) | ||
This follows the joint recommendations of the ATLAS and CMS experiments in | ||
|LHC Higgs search combination procedure|_. | ||
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Features | ||
-------- | ||
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Python API | ||
~~~~~~~~~~ | ||
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* The following functions have been added to the ``pyhf.tensorlib`` API: | ||
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- ``pyhf.tensorlib.transpose`` (PR :pr:`1696`) | ||
- ``pyhf.tensorlib.percentile`` (PR :pr:`817`) | ||
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* :func:`pyhf.readxml.parse` now supports reading of XML configurations with absolute paths | ||
with the addition of the ``mounts`` optional argument. | ||
(PR :pr:`1909`) | ||
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* Support for overriding the paths for finding schemas is added, using the ``pyhf`` | ||
installed location as a base via ``pyhf.utils.schemas``. | ||
(PRs :pr:`1753`, :pr:`1818`) | ||
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.. code:: pycon | ||
>>> from pathlib import Path | ||
>>> import pyhf.schema | ||
>>> current_schema_path = pyhf.schema.path | ||
>>> current_schema_path | ||
PosixPath('/path/to/your/venv/lib/python3.X/site-packages/pyhf/schemas') | ||
>>> custom_schema_path = Path("/path/to/custom/pyhf/schema") | ||
>>> with pyhf.schema(custom_schema_path): | ||
... print(repr(pyhf.schema.path)) | ||
... | ||
PosixPath('/path/to/custom/pyhf/schema') | ||
>>> pyhf.schema.path | ||
PosixPath('/path/to/your/venv/lib/python3.X/site-packages/pyhf/schemas') | ||
* In :func:`pyhf.workspace.Workspace.model` the parameter of interest specified | ||
in the measurement may now be overridden using the added ``poi_name`` kwarg. | ||
(PR :pr:`1636`) | ||
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* The :class:`pyhf.parameters.paramsets` classes ``suggested_fixed`` attribute behavior has | ||
been updated to return a :class:`list` of :class:`bool` of length ``n_parameters``. | ||
To access the behavior used in ``pyhf`` ``v0.6.x`` use the ``suggested_fixed_as_bool`` attribute. | ||
(PR :pr:`1639`) | ||
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* ``pyhf.pdf._ModelConfig.par_names`` is changed to be a property attribute. | ||
(PR :pr:`2027`) | ||
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* The order of model parameters is now sorted by model parameter name. | ||
(PR :pr:`1625`) | ||
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.. code:: pycon | ||
>>> import pyhf | ||
>>> model = pyhf.simplemodels.correlated_background( | ||
... signal=[12.0, 11.0], | ||
... bkg=[50.0, 52.0], | ||
... bkg_up=[45.0, 57.0], | ||
... bkg_down=[55.0, 47.0], | ||
... ) | ||
>>> model.config.par_order | ||
['correlated_bkg_uncertainty', 'mu'] | ||
>>> model.config.par_names | ||
['correlated_bkg_uncertainty', 'mu'] | ||
* Support for writing user custom modifiers is added. | ||
(PRs :pr:`1625`, :pr:`1644`) | ||
This is still in the stage where it is `targeted at expert users | ||
<https://github.com/scikit-hep/pyhf/issues/850#issuecomment-1239975121>`_. | ||
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* ``{modifier}_builder`` classes are added for all modifiers. | ||
(PRs :pr:`1625`) | ||
For example, :class:`pyhf.modifiers.histosys.histosys_builder`. | ||
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* When using ``pyhf.writexml`` and the ``normfactor`` parameter config is missing | ||
``inits`` or ``bounds``, fall back to using default values. | ||
(PRs :pr:`1819`) | ||
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* Supported options for :func:`pyhf.infer.hypotest` can now be passed as kwargs | ||
through the :func:`pyhf.infer.intervals.upper_limits.upper_limit` API. | ||
(PR :pr:`1613`) | ||
This now enables things like using :class:`pyhf.infer.calculators.ToyCalculator` | ||
as the calculator used for the hypothesis test scan: | ||
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.. code:: pycon | ||
>>> import numpy as np | ||
>>> import pyhf | ||
>>> pyhf.set_backend("jax") | ||
>>> model = pyhf.simplemodels.uncorrelated_background( | ||
... signal=[12.0, 11.0], bkg=[50.0, 52.0], bkg_uncertainty=[3.0, 7.0] | ||
... ) | ||
>>> observations = [51, 48] | ||
>>> data = pyhf.tensorlib.astensor(observations + model.config.auxdata) | ||
>>> scan = np.linspace(0, 5, 21) | ||
>>> obs_limit, exp_limits, (scan, results) = pyhf.infer.intervals.upper_limits.upper_limit( | ||
... data, model, scan, return_results=True, calctype="toybased", ntoys=3000 | ||
... ) | ||
* Allow for fit parameter values from required fits in ``pyhf.infer.test_statistics`` | ||
functions to be returned by use of ``return_fitted_pars`` kwarg with the | ||
``pyhf.infer.test_statistics`` functions and ``return_calculator`` kwarg with | ||
:func:`pyhf.infer.hypotest`. | ||
(PR :pr:`1554`) | ||
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* A ``validate`` kwarg has been added to :func:`pyhf.workspace.Workspace` and | ||
:func:`pyhf.pdf.Model` to allow skipping validation. | ||
(PR :pr:`1646`) | ||
This should only be used by expert users who understand the risks. | ||
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* A ``pyhf.default_backend`` has been added that is configurable through a | ||
``default`` kwarg in :func:`pyhf.set_backend`. | ||
(PR :pr:`1646`) | ||
This allows setting the ``pyhf.default_backend`` to be different from the value of | ||
``pyhf.tensorlib`` returned by :func:`pyhf.get_backend`, which can be useful in situations | ||
where differentiable model construction is needed. | ||
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.. code:: pycon | ||
>>> import jax | ||
>>> import pyhf | ||
>>> pyhf.set_backend("jax", default=True) | ||
>>> pyhf.set_backend("numpy") | ||
>>> pyhf.get_backend() | ||
(<pyhf.tensor.numpy_backend.numpy_backend object at 0x...>, <pyhf.optimize.scipy_optimizer object at 0x...>) | ||
>>> pyhf.default_backend | ||
<pyhf.tensor.jax_backend.jax_backend object at 0x...> | ||
>>> def example_op(x): | ||
... return 2 * pyhf.default_backend.power(pyhf.default_backend.astensor(x), 3) | ||
... | ||
>>> example_op([2.0]) | ||
DeviceArray([16.], dtype=float64) | ||
>>> jax.jacrev(jax.jit(example_op))([2.0]) | ||
[DeviceArray([24.], dtype=float64, weak_type=True)] | ||
* Schema validation now allows for both :class:`list` and ``pyhf.tensorlib`` objects | ||
to exist in the model specification. | ||
(PR :pr:`1647`) | ||
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.. code:: pycon | ||
>>> import pyhf | ||
>>> signal = pyhf.tensorlib.astensor([12.0, 11.0]) | ||
>>> background = pyhf.tensorlib.astensor([50.0, 52.0]) | ||
>>> background_uncertainty = pyhf.tensorlib.astensor([3.0, 7.0]) | ||
>>> model = pyhf.simplemodels.uncorrelated_background( | ||
... signal=signal, bkg=background, bkg_uncertainty=background_uncertainty | ||
... ) | ||
CLI API | ||
~~~~~~~ | ||
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* The ``pyhf xlm2json`` CLI API now has a ``-v/--mount`` option to support reading | ||
XML configurations with absolute paths. | ||
(PR :pr:`1909`) | ||
Similar to Docker volume mounts, the options allows a user to pass two fields | ||
separated by a colon (``:``). | ||
The first field is a local path and the second field is the absolute path specified | ||
in the XML configuration to be substituted. | ||
Without the ``-v/--mount`` option a user would have to manually edit the absolute | ||
path in each XML file it appeared in! | ||
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.. code:: console | ||
pyhf xml2json \ | ||
--mount /local/path/to/workspace:/absolute/path/to/replace/inside/xml \ | ||
--output-file workspace.json \ | ||
workspace/analysis_config.xml | ||
Deprecations | ||
------------ | ||
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Python API | ||
~~~~~~~~~~ | ||
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* The :func:`pyhf.infer.intervals.upperlimit` API has been deprecated in favor of | ||
:func:`pyhf.infer.intervals.upper_limits.upper_limit`. | ||
The :func:`pyhf.infer.intervals.upperlimit` API will removed in ``pyhf`` ``v0.9.0``. | ||
(PR :pr:`1274`) | ||
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Removals | ||
-------- | ||
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Python API | ||
~~~~~~~~~~ | ||
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* The :func:`pyhf.simplemodels.hepdata_like` API, deprecated since ``pyhf`` | ||
``v0.6.2``, has been removed. | ||
(PR :pr:`1670`) | ||
Use the :func:`pyhf.simplemodels.uncorrelated_background` API instead. | ||
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* :class:`pyhf.workspace.Workspace`'s ``parameters`` attribute is removed in favor of | ||
using :class:`pyhf.pdf._ModelConfig`'s ``parameters``. | ||
(PR :pr:`1625`) | ||
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* :func:`pyhf.workspace.Workspace.get_measurement` has the ``poi_name`` kwarg removed. | ||
(PR :pr:`1636`) | ||
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Contributors | ||
------------ | ||
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``v0.7.0`` benefited from contributions from: | ||
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* Alexander Held | ||
* Mason Proffitt | ||
* Lars Henkelmann | ||
* Aryan Roy | ||
* Graeme Watt | ||
* Jerry Ling | ||
* Nathan Simpson | ||
* Beojan Stanislaus | ||
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.. |release v0.7.0| replace:: ``v0.7.0`` | ||
.. _`release v0.7.0`: https://github.com/scikit-hep/pyhf/releases/tag/v0.7.0 | ||
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.. _LHC Higgs search combination procedure: https://inspirehep.net/literature/1196797 | ||
.. |LHC Higgs search combination procedure| replace:: *Procedure for the LHC Higgs boson search combination in Summer 2011* |
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