`"%s" % spec` formats the spec with deps included, which produces sometimes KBs
of data and is slow to run in pure Python. It can delay otherwise very short-lived
read/write locks on the database.
Discovered in #38762 where profile output showed about 2 seconds is spent in
`spec.format`, which is significant overhead when using multiprocessing to install
from binary cache in parallel (installation often takes <5s for small packages). With
this change, `spec.format` no longer shows up in profile output.
(This line hasn't changed since Spack v0.9 ;p)
* move format() call to custom NoSuchSpecError exception
* add a comment saying why, so we can eventually change `Spec.__str__`
* qt-base: new version 6.5.0
* qt-declarative: new version 6.5.0
* qt-quick3d: new version 6.5.0
* qt-quicktimeline: new version 6.5.0
* qt-shadertools: new version 6.5.0
* qt-*: new version 6.5.1
* qt-base: new version 6.5.1
* py-pyarrow: enable parquet variant by default
* Disable parquet variant by default
* Add conflict to enable parquet when dataset is active
* Disable dataset variant by default
* initial commit of nanobind package
* style fixes
* Update package.py
Typo
* addressed PR comments
* add v1.4.0
* Update var/spack/repos/builtin/packages/py-nanobind/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
---------
Co-authored-by: Matthew Archer <ma595@cam.ac.uk>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* py-astropy: fix import tests and restrict py-pip version
* Fix --install-option name in comments
* Rename variant and fix variant dependencies
* Remove parquet variant from py-pyarrow
1. Fix O(n^2) iteration in `_get_overwrite_specs`
2. Early exit `get_by_hash` on full hash
3. Fix O(n^2) double lookup in `all_matching_specs` with hashes
4. Fix some legibility issues
* mlpack: new package
mlpack is an intuitive, fast, and flexible header-only C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers.
* mlpack: upstream merged patch to allow python installation in spack
* Added v5.0.0 of PyAMG. This required v7.1.0 of setuptools_scm due to a bug in 7.0.5.
* Added comment about version requirement.
* Loosened dependency based on build experiments.
* Updated tomli deps.
* Update var/spack/repos/builtin/packages/py-setuptools-scm/package.py
Dependence for 7.0 only.
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/py-pyamg/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Swapped lines.
---------
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* py-pip: add 23.1.2
* Restrict py-pip version for py-protobuf
* Restrict py-pip version for straightforward packages
* Restrict py-pip version for nrm
* Fix --install-option name in comments
* Simplify py-pip restriction for py-scs
* nrm: fix wrong comment
* py-spglib: add 2.0.2
* Update var/spack/repos/builtin/packages/py-spglib/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Remove py-setuptools as run dependency
---------
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Add maintainers
* Updated cosma archive checksum and costa version
- updated cosma version (in the cosma build system)
- updated costa version
- use the default generic url for downloading packages
- do not build tiled-mm when the cpu only version is needed
Signed-off-by: Dr. Mathieu Taillefumier <mathieu.taillefumier@free.fr>
Co-authored-by: Rocco Meli <r.meli@bluemail.ch>
Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
NAMD users expect the Tcl scripting interface to be enabled as it is used in many examples and tutorials in addition to being required for features such as multi-copy algorithms.
* When installing a package Spack will attempt to set group permissions on
the install prefix even when the configuration does not specify a group.
Co-authored-by: David Gomez <dvdgomez@users.noreply.github.com>
