[Blends-commit] [Git][debian-astro-team/debian-astro][master] Add jplephem to python3; cleanup python3 task
Ole Streicher (@olebole)
gitlab at salsa.debian.org
Fri Aug 19 11:07:51 BST 2022
Ole Streicher pushed to branch master at Debian Astro Team / debian-astro
Commits:
c3a2c88d by Ole Streicher at 2022-08-19T12:07:42+02:00
Add jplephem to python3; cleanup python3 task
- - - - -
2 changed files:
- tasks/ascl
- tasks/python3
Changes:
=====================================
tasks/ascl
=====================================
@@ -122,25 +122,6 @@ Remark: ASCL-Id 1609.017
Recommends: python3-sncosmo
Remark: ASCL-Id 1611.017
-WNPP: 757096
-Pkg-Description: Python 3 library for high-level supervova cosmology analysis
- SNCosmo is a Python library for high-level supernova cosmology analysis. It
- aims to make such analysis both as flexible and clear as possible. It is
- built on NumPy, SciPy and AstroPy. Package Features:
- .
- * SN models: Synthesize supernova spectra and photometry from SN models.
- * Fitting and sampling: Functions for fitting and sampling SN model
- parameters given photometric light curve data.
- * Dust laws: Fast implementations of several commonly used extinction laws;
- can be used to construct SN models that include dust.
- * I/O: Convenience functions for reading and writing peculiar data formats
- used in other packages and getting dust values from SFD (1998) maps.
- * Built-in supernova models such as SALT2, MLCS2k2, Hsiao, Nugent, PSNID,
- SNANA and Whalen models, as well as a variety of built-in bandpasses and
- magnitude systems.
- * Extensible: New models, bandpasses, and magnitude systems can be defined,
- using an object-oriented interface.
-Homepage: https://sncosmo.github.io/
Recommends: python3-pyvo
Remark: ASCL-Id 1402.004
@@ -393,11 +374,9 @@ Remark: ASCL-Id: 2012.026
Recommends: python3-astroalign
Remark: ASCL-Id: 1906.001
-WNPP: 978432
Recommends: python3-sep
Remark: ASCL-Id: 1811.004
-WNPP: 941158
Recommends: liblapack-dev
Remark: ASCL-Id: 2104.020
@@ -413,5 +392,11 @@ Remark: ASCL-Id: 1811.001
Recommends: python3-extinction
Remark: ASCL-Id: 2102.026
-WNPP: 850195
+Recommends: python3-jplephem
+Remark: ASCL-Id: 1908.017
+WNPP: 1017350
+
+Recommends: python3-skyfield
+Remark: ASCL-Id: 1907.024
+WNPP: 911646
=====================================
tasks/python3
=====================================
@@ -25,13 +25,10 @@ Recommends: python3-aplpy, python3-astroml, python3-astroplan,
python3-astroscrappy, python3-einsteinpy, python3-galpy, python3-gammapy,
python3-ginga, python3-glue, python3-gwcs, python3-hips,
python3-imexam, python3-poliastro, python3-pydl, python3-regions,
- python3-spectral-cube, python3-synphot
+ python3-spectral-cube, python3-synphot, python3-astroalign,
+ python3-sncosmo
Why: Astropy affiliated packages
-Recommends: python3-astroalign
-Why: Astropy affiliated package
-WNPP: 978432
-
Recommends: python3-pyspeckit
Why: Astropy affiliated package
WNPP: 881699
@@ -46,28 +43,6 @@ Pkg-Description: Toolkit for fitting and manipulating spectroscopic data
applications, e.g. gaussian and voigt profile fitting,
baseline/continuum fitting, and equivalent width measurements.
-Recommends: python3-sncosmo
-Why: Astropy affiliated package
-WNPP: 757096
-Pkg-Description: Python 3 library for high-level supervova cosmology analysis
- SNCosmo is a Python library for high-level supernova cosmology analysis. It
- aims to make such analysis both as flexible and clear as possible. It is
- built on NumPy, SciPy and AstroPy. Package Features:
- .
- * SN models: Synthesize supernova spectra and photometry from SN models.
- * Fitting and sampling: Functions for fitting and sampling SN model
- parameters given photometric light curve data.
- * Dust laws: Fast implementations of several commonly used extinction laws;
- can be used to construct SN models that include dust.
- * I/O: Convenience functions for reading and writing peculiar data formats
- used in other packages and getting dust values from SFD (1998) maps.
- * Built-in supernova models such as SALT2, MLCS2k2, Hsiao, Nugent, PSNID,
- SNANA and Whalen models, as well as a variety of built-in bandpasses and
- magnitude systems.
- * Extensible: New models, bandpasses, and magnitude systems can be defined,
- using an object-oriented interface.
-Homepage: https://sncosmo.github.io/
-
Recommends: python3-drizzle
Recommends: python3-asdf
@@ -112,11 +87,6 @@ Pkg-Description: Modeling and fitting in Python 3
Homepage: http://cxc.cfa.harvard.edu/sherpa/
Recommends: python3-extinction
-WNPP: 850195
-Homepage: https://github.com/kbarbary/extinction
-Pkg-Description: Fast interstellar dust extinction laws
- Extinction provides a library with Cython-optimised implementations of
- empirical dust extinction laws found in the astronomical literature.
Recommends: python3-mvpa2
Why: ASCL Id 1703.009
@@ -150,6 +120,9 @@ Pkg-Description: Elegant astronomy for Python
Astronomical Almanac to within 0.0005 arcseconds (which equals half a
“mas” or milliarcsecond).
+Recommends: python3-jplephem
+WNPP: 1017350
+
Recommends: python3-pytorch
WNPP: 853923
Homepage: https://pytorch.org
@@ -176,11 +149,6 @@ Pkg-Description: interactive visualization for web browsers
Recommends: python3-pynpoint
Recommends: python3-orbit-predictor
-WNPP: 927013
-Homepage: https://github.com/satellogic/orbit-predictor/
-Pkg-Description: Python library to propagate orbits of Earth-orbiting
- Orbit Predictor is a Python library to propagate orbits of Earth-orbiting
- objects (satellites, ISS, Santa Claus, etc) using TLE (Two-Line Elements set)
Recommends: python3-heliopy
WNPP: 928699
@@ -199,9 +167,6 @@ Homepage: http://www.astroml.org/gatspy/
Pkg-Description: General tools for Astronomical Time Series in Python
Recommends: python3-sep
-WNPP: 941158
-Homepage: https://github.com/kbarbary/sep
-Pkg-Description: Python library for source extraction and photometry
Recommends: python3-theano, python3-keras
Why: Machine learning packages used in astronomy
View it on GitLab: https://salsa.debian.org/debian-astro-team/debian-astro/-/commit/c3a2c88d85379cd232e6243e4233f8896aa98bb5
--
View it on GitLab: https://salsa.debian.org/debian-astro-team/debian-astro/-/commit/c3a2c88d85379cd232e6243e4233f8896aa98bb5
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