[yt-svn] commit/yt: 2 new changesets

[commits-noreply at bitbucket.org]

2 new commits in yt:

https://bitbucket.org/yt_analysis/yt/commits/ffda1c3bc884/
Changeset:   ffda1c3bc884
Branch:      yt
User:        chummels
Date:        2015-11-21 22:24:36+00:00
Summary:     Adding mask to LightRay to assure output elements have non-zero density (a problem in some SPH datasets).
Affected #:  1 file

diff -r 27f664fe46a4ec9361421167ffb7f963428ac912 -r ffda1c3bc884c54e3360aa3b8d0c5f01d4e1d143 yt/analysis_modules/cosmological_observation/light_ray/light_ray.py
--- a/yt/analysis_modules/cosmological_observation/light_ray/light_ray.py
+++ b/yt/analysis_modules/cosmological_observation/light_ray/light_ray.py
@@ -544,6 +544,11 @@
               self.cosmology.t_from_z(ds["current_redshift"])
         extra_attrs = {"data_type": "yt_light_ray"}
         field_types = dict([(field, "grid") for field in data.keys()])
+        # Only return LightRay elements with non-zero density
+        if 'density' in data:
+            mask = data['density'] > 0
+            for key in data.keys():
+                data[key] = data[key][mask]
         save_as_dataset(ds, filename, data, field_types=field_types,
                         extra_attrs=extra_attrs)
 


https://bitbucket.org/yt_analysis/yt/commits/903268eb8d71/
Changeset:   903268eb8d71
Branch:      yt
User:        bwkeller
Date:        2015-11-23 19:10:26+00:00
Summary:     Merged in chummels/yt (pull request #1880)

Adding mask to LightRay to assure output elements have non-zero density (a problem in some SPH datasets).
Affected #:  1 file

diff -r 25030d46ee18f7000c1d1199fbd78a678c9c3b99 -r 903268eb8d717ff3af3fc5acd7634f5db854a1b4 yt/analysis_modules/cosmological_observation/light_ray/light_ray.py
--- a/yt/analysis_modules/cosmological_observation/light_ray/light_ray.py
+++ b/yt/analysis_modules/cosmological_observation/light_ray/light_ray.py
@@ -544,6 +544,11 @@
               self.cosmology.t_from_z(ds["current_redshift"])
         extra_attrs = {"data_type": "yt_light_ray"}
         field_types = dict([(field, "grid") for field in data.keys()])
+        # Only return LightRay elements with non-zero density
+        if 'density' in data:
+            mask = data['density'] > 0
+            for key in data.keys():
+                data[key] = data[key][mask]
         save_as_dataset(ds, filename, data, field_types=field_types,
                         extra_attrs=extra_attrs)

Repository URL: https://bitbucket.org/yt_analysis/yt/

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