---------- Forwarded message ----------
From: *Britton Smith* <brittonsmith_at_gmail.com>
Date: Friday, July 24, 2015
Subject: [enzo-dev] ANN: yt-3.2 released
To: yt users <yt-users_at_lists.spacepope.org>, yt-dev <
yt-dev_at_lists.spacepope.org>, "enzo-users_at_googlegroups.com" <
enzo-users_at_googlegroups.com>, enzo-dev_at_googlegroups.com,
santacruzgalaxy-list_at_lists.ucsc.edu, pyne-users_at_googlegroups.com
We are proud to announce the release of yt 3.2!
yt (
http://yt-project.org) is an open source, community-developed toolkit
for analysis and visualization of volumetric data of all types, with a
particular emphasis on astrophysical simulations and nuclear engineering
simulations.
Major enhancements
-
Particle-Only Plots - a series of new plotting functions for visualizing
particle data. See here
<
http://yt-project.org/docs/dev/visualizing/plots.html#particle-plots>
for more information.
-
Late-stage beta support for Python 3 - unit tests and answer tests pass
for all the major frontends under python 3.4, and yt should now be mostly
if not fully usable. Because many of the yt developers are still on Python
2 at this point, this should be considered a “late stage beta” as there may
be remaining issues yet to be identified or worked out.
-
Now supporting Gadget Friend-of-Friends/Subfind catalogs - see here
<
http://yt-project.org/docs/dev/examining/loading_data.html#halo-catalog-data>
to learn how to load halo catalogs as regular yt datasets.
-
Custom colormaps can now be easily defined and added - see here
<
http://yt-project.org/docs/dev/visualizing/colormaps/index.html> to
learn how!
-
Now supporting Fargo3D data
-
Performance improvements throughout the code base for memory and speed
Minor enhancements
-
Various updates to the following frontends: ART, Athena, Castro, Chombo,
Gadget, GDF, Maestro, Pluto, RAMSES, Rockstar, SDF, Tipsy
-
Numerous documentation updates
-
Generic hexahedral mesh pixelizer
-
Adding annotate_ray() callback for plots
-
AbsorptionSpectrum returned to full functionality and now using faster
SciPy Voigt profile
-
Add a color_field argument to annotate_streamline
-
Smoothing lengths auto-calculated for Tipsy Datasets
-
Adding SimulationTimeSeries support for Gadget and OWLS.
-
Generalizing derived quantity outputs to all be YTArrays or lists of
YTArrays as appropriate
-
Star analysis returned to full functionality
-
FITS image writing refactor
-
Adding gradient fields on the fly
-
Adding support for Gadget Nx4 metallicity fields
-
Updating value of solar metal mass fraction to be consistent with Cloudy .
-
Gadget raw binary snapshot handling & non-cosmological simulation units
-
Adding support for LightRay class to work with Gadget+Tipsy
-
Add support for subclasses of frontends
-
Dependencies updated
-
Serialization for projections using minimal representation
-
Adding Grid visitors in Cython
-
Improved semantics for derived field units
-
Add a yaw() method for the PerspectiveCamera + switch back to LHS
-
Adding annotate_clear() function to remove previous callbacks from a plot
-
Added documentation for hexahedral mesh on website
-
Speed up nearest neighbor evaluation
-
Add a convenience method to create deposited particle fields
-
UI and docs updates for 3D streamlines
-
Ensure particle fields are tested in the field unit tests
-
Allow a suffix to be specified to save()
-
Add profiling using airspeed velocity
-
Various plotting enhancements and bugfixes
-
Use hglib to update
-
Various minor updates to halo_analysis toolkit
-
Docker-based tests for install_script.sh
-
Adding support for single and non-cosmological datasets to LightRay
-
Adding the Pascal unit
-
Add weight_field to PPVCube
-
FITS reader: allow HDU in auxiliary
-
Fixing electromagnetic units
-
Specific Angular Momentum [xyz] computed relative to a normal vector
Bugfixes
-
Adding ability to create union fields from alias fields
-
Small fix to allow enzo AP datasets to load in parallel when no APs
present
-
Use proper cell dimension in gradient function.
-
Minor memory optimization for smoothed particle fields
-
Fix thermal_energy for Enzo HydroMethod==6
-
Make sure annotate_particles handles unitful widths properly
-
Improvements for add_particle_filter and particle_filter
-
Specify registry in off_axis_projection's image finalization
-
Apply fix for particle momentum units to the boxlib frontend
-
Avoid traceback in "yt version" when python-hglib is not installed
-
Expose no_ghost from export_sketchfab down to
_extract_isocontours_from_grid
-
Fix broken magnetic_unit attribute
-
Fixing an off-by-one error in the set x/y lim methods for profile plots
-
Providing better error messages to PlotWindow callbacks
-
Updating annotate_timestamp to avoid auto-override
-
Updating callbacks to consistently define coordinate system
-
Fixing species fields for OWLS and tipsy
-
Fix extrapolation for vertex-centered data
-
Fix periodicity check in FRBs
-
Rewrote project_to_plane() in PerspectiveCamera for draw_domain()
-
Fix intermittent failure in test_add_deposited_particle_field
-
Improve minorticks for a symlog plot with one-sided data
-
Fix smoothed covering grid cell computation
-
Absorption spectrum generator now 3.0 compliant
-
Fix off-by-one-or-more in particle smallest dx
-
Fix dimensionality mismatch error in covering grid
-
Fix curvature term in cosmology calculator
-
Fix geographic axes and pixelization
-
Ensure axes aspect ratios respect the user-selected plot aspect ratio
-
Avoid clobbering field_map when calling profile.add_fields
-
Fixing the arbitrary grid deposit code
-
Fix spherical plotting centering
-
Make the behavior of to_frb consistent with the docstring
-
Ensure projected units are initialized when there are no chunks.
-
Removing "field already exists" warnings from the Owls and Gadget
frontends
-
Various photon simulator bugs
-
Fixed use of LaTeX math mode
-
Fix upload_image
-
Enforce plot width in CSS when displayed in a notebook
-
Fix cStringIO.StringIO -> cStringIO in png_writer
-
Add some input sanitizing and error checking to covering_grid initializer
-
Fix for geographic plotting
-
Use the correct filename template for single-file OWLS datasets.
-
Fix Enzo IO performance for 32 bit datasets
-
Adding a number density field for Enzo MultiSpecies=0 datasets.
-
Fix RAMSES block ordering
-
Fix ART star particle masses to correctly reflect current and initial
mass
-
Updating ragged array tests for NumPy 1.9.1
-
Force returning lists for HDF5FileHandler
Coming Soon!
The next major release of yt will be version 3.3, which is slated to
include an overhaul of the volume rendering system and support for
analyzing and visualizing unstructured mesh data.
Standard Installation Methods
As with previous releases, you can install yt from source using one of the
following methods.
1) From the install script (
http://yt-project.org/#getyt ):
Note, many of the dependencies have been updated since version 3.1. If you
previously installed yt from the install script, it is advised that you
re-install yt from scratch.
# Installation
$ wget
http://bitbucket.org/yt_analysis/yt/raw/stable/doc/install_script.sh
$ bash install_script.sh
# Update
$ yt update
2) From pip (source or binary wheel, see below for more details):
# Installation
$ pip install yt
# Update
$ pip install -U yt
3) From the Anaconda Python Distribution (
https://store.continuum.io/cshop/anaconda/):
# Installation
$ conda install yt
# Update
$ conda update yt
Note that it might take a day or two for the conda package to be updated.
If you are on the “stable” branch, updating will bring you from yt 3.1 to
3.2, incorporating all
changes since 3.1, whereas if you are on the “dev” or “yt” branch, only the
changes since
your last update should be incorporated.
Installing Binary Packages via pip
New to this release is the ability to install binary packages (“wheels”)
using pip on Windows and Mac OS X (64-bit only for both). This has the
advantage of not needing to install yt from source using a proper compiler
setup, which has caused occasional problems on both of these platforms and
prevented us from installing yt easily on other Python distributions.
We have so far been able to install and run the binary distribution via pip
on the following platforms and Python stacks:
Note that it might take a day or two for the pip wheels to be updated.
Windows x86_64:
-
Enthought Canopy Python (
https://www.enthought.com/products/canopy/)
-
WinPython (
http://winpython.sourceforge.net/)
Mac OS X x86_64:
-
Enthought Canopy Python (
https://www.enthought.com/products/canopy/)
-
Homebrew Python (
http://brew.sh/)
-
Python.org Python
-
Mac OS X’s system Python
-
MacPorts Python (
https://www.macports.org/)
This is somewhat experimental, so other distributions may work (or not),
please submit bug reports or successes to the mailing list or to the
Bitbucket issues page (
http://bitbucket.org/yt_analysis/yt/issues).
All distributions are recommended to be Python v. 2.7, although with yt 3.2
there is late-stage beta support for Python 3.4. The requirements for
installing yt via this method are the same as from source:
-
NumPy
-
h5py
-
HDF5
-
SymPy
-
Matplotlib
-
IPython (not required, but strongly recommended)
To install a new version of yt on one of these platforms, simply do
$ pip install yt
and you should get the binary distribution automatically. Also, if your
python installation is system-wide (e.g., the Mac system Python) you might
need to run pip with administrator privileges.
For more information, including more installation instructions, links to
community resources, and information on contributing to yt’s development,
please see the yt homepage at
http://yt-project.org and the documentation
for yt-3.2 at
http://yt-project.org/docs/3.2.
yt is the product of a large community of developers and users and we are
extraordinarily grateful for and proud of their contributions. Please
forward this announcement on to any interested parties.
As always, if you have any questions, concerns, or run into any trouble
updating please don't hesitate to send a message to the mailing list or
stop by our IRC channel.
All the best,
The yt development team
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Received on 2015-07-24 20:24:53