v0.6.3
This is a patch release from v0.6.2
→ v0.6.3
.
Important Notes
- With the addition of writing ROOT files in
uproot
v4.1.0
thexmlio
extra no longer requiresuproot3
and all dependencies onuproot3
anduproot3-methods
have been dropped. (PR #1567).uproot4
additionally brings large speedups to writing, which results in an order of magnitude faster conversion time for most workspace conversions from JSON back to XML + ROOT withpyhf json2xml
. - All backends are now fully compatible and tested with Python 3.9. (PR #1574)
- The TensorFlow backend now supports compatibility with TensorFlow
v2.2.1
and later and TensorFlow Probabilityv0.10.1
and later. (PR #1001) - The
pyhf.workspace.Workspace.data()
with_aux
keyword arg has been renamed toinclude_auxdata
to improve API consistency. (PR #1562)
Fixes
- The weakref bug with Click
v8.0+
was resolved.pyhf
is now fully compatible with Clickv7
andv8
releases. (PR #1530)
Features
Python API
-
Model parameter names are now propagated to optimizers through addition of the
pyhf.pdf._ModelConfig.par_names()
API.pyhf.pdf._ModelConfig.par_names()
also handles non-scalar modifiers with 1 parameter. (PRs #1536, #1560)>>> import pyhf >>> model = pyhf.simplemodels.uncorrelated_background( ... signal=[12.0, 11.0], bkg=[50.0, 52.0], bkg_uncertainty=[3.0, 7.0] ... ) >>> model.config.parameters ['mu', 'uncorr_bkguncrt'] >>> model.config.npars 3 >>> model.config.par_names() ['mu', 'uncorr_bkguncrt[0]', 'uncorr_bkguncrt[1]']
-
The
pyhf.pdf._ModelConfig
channel_nbins
dict is now sorted by keys to match the order of thechannels
list. (PR #1546) -
The
pyhf.workspace.Workspace.data()
with_aux
keyword arg has been renamed toinclude_auxdata
to improve API consistency. (PR #1562)
Changes
- docs: Add v0.6.3 release notes (#1583)
- docs: Update JAX backend poisson docstring to jax v0.2.20 returns (#1584)
- docs: Fix links to existing issues for 'docs' and 'feat' labels (#1582)
- docs: Use GitHub Issue forms as Issue templates (#1576)
- feat: Add support for Python 3.9 across all backends (#1574)
- fix: Ensure TensorFlow backend Poisson compatibility with other backends (#1001)
- ci: Use Google Cloud Storage buckets for long term JAX wheel stability (#1579)
- docs: Add use citations from vCHEP 2021 (#1572)
- chore: Remove unnecessary str conversions of pathlib.Path objects (#1568)
- feat: Drop uproot3 for uproot4 for writing ROOT files (#1567)
- fix: Remove .dockerignore to give clean working tree during Docker build (#1569)
- style: Update validation scripts to be more Pythonic (#1565)
- feat: Rename kwarg with_aux to include_auxdata in pyhf.Workspace.data API (#1562)
- ci: Check sdist and wheel listed contents with python -m CLI (#1563)
- feat: par_names handles non-scalar modifiers with 1 parameter (#1560)
- docs: Promote comments to docstring examples for pyhf.event (#1556)
- fix: Remove WeakList in favor of built-ins (#1530)
- chore: Define OS in base image tag of Dockerfile (#1552)
- docs: Add CITATION.cff Citation File Format file (#1551)
- refactor: Use absolute imports over explicit relative imports (#1539)
- feat: Sort
_ChannelSummaryMixin.channel_nbins
by keys to matchchannels
order (#1546) - docs: Separate citations into 'use' and 'general' (#1540)
- chore: [pre-commit.ci] pre-commit autoupdate (#1542)
- docs: Add citation from heavy neutral leptons neutrino oscillation model paper (#1537)
- docs: Add project origin summary (#1415)
- feat: Propagate model parameter names to optimizers (#1536)
- fix: Use nightly SciPy wheels from Anaconda in HEAD of dependencies testing (#1533)
- test: Temporarily move to testing against SciPy pre-releases (#1532)
- fix: Unrestrict jaxlib upper bound and exclude jaxlib v0.1.68 (#524)
- test: Remove tests of deprecated simplemodels.hepdata_like API (#1521)
- chore: [pre-commit.ci] pre-commit autoupdate (#1520)
- docs: Update citation for 'Charged Lepton Flavor Violation at the EIC' paper (#1518)
- docs: Add release notes URL to PyPI project urls metadata (#1512)
- test: Remove 32b test_minimize tests from optim tests (#1504)
- fix: Temporarily restrict jaxlib to below v0.1.68 (#1502)