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

[Bitbucket]

2 new commits in yt:

https://bitbucket.org/yt_analysis/yt/commits/8c4d68f82036/
changeset:   8c4d68f82036
branch:      yt
user:        samskillman
date:        2013-01-18 21:16:17
summary:     Adding periodic_position to math_utils.py
affected #:  2 files

diff -r 04fa9a7d799c59d00469ee30cc3f91978eca3b46 -r 8c4d68f82036d661419006a19058b0ff9c2a664e yt/mods.py
--- a/yt/mods.py
+++ b/yt/mods.py
@@ -143,7 +143,7 @@
 
 # Import some helpful math utilities
 from yt.utilities.math_utils import \
-    ortho_find, quartiles
+    ortho_find, quartiles, periodic_position 
 
 
 # We load plugins.  Keep in mind, this can be fairly dangerous -

diff -r 04fa9a7d799c59d00469ee30cc3f91978eca3b46 -r 8c4d68f82036d661419006a19058b0ff9c2a664e yt/utilities/math_utils.py
--- a/yt/utilities/math_utils.py
+++ b/yt/utilities/math_utils.py
@@ -30,6 +30,30 @@
 import numpy as np
 import math
 
+def periodic_position(pos, pf):
+    r"""Assuming periodicity, find the periodic position within the domain.
+    
+    Parameters
+    ----------
+    pos : array
+        An array of floats.
+    
+    pf : StaticOutput
+        A simulation static output.
+    
+    Examples
+    --------
+    >>> a = np.array([1.1, 0.5, 0.5])
+    >>> data = {'Density':np.ones([32,32,32])}
+    >>> pf = load_uniform_grid(data, [32,32,32], 1.0)
+    >>> ppos = periodic_position(a, pf)
+    >>> ppos
+    array([ 0.1,  0.5,  0.5])
+    """
+ 
+    off = (pos - pf.domain_left_edge) % pf.domain_width
+    return pf.domain_left_edge + off
+
 def periodic_dist(a, b, period):
     r"""Find the Euclidian periodic distance between two points.
     


https://bitbucket.org/yt_analysis/yt/commits/958de8ec7d14/
changeset:   958de8ec7d14
branch:      yt
user:        samskillman
date:        2013-01-18 21:16:48
summary:     Merging
affected #:  3 files

diff -r 8c4d68f82036d661419006a19058b0ff9c2a664e -r 958de8ec7d1489664bd88f57054352cee0c82559 yt/analysis_modules/halo_finding/halo_objects.py
--- a/yt/analysis_modules/halo_finding/halo_objects.py
+++ b/yt/analysis_modules/halo_finding/halo_objects.py
@@ -835,6 +835,9 @@
         self.bin_count = None
         self.overdensity = None
         self.indices = np.array([])  # Never used for a LoadedHalo.
+        self._saved_fields = {}
+        self._ds_sort = None
+        self._particle_mask = None
         # A supplementary data dict.
         if supp is None:
             self.supp = {}

diff -r 8c4d68f82036d661419006a19058b0ff9c2a664e -r 958de8ec7d1489664bd88f57054352cee0c82559 yt/data_objects/data_containers.py
--- a/yt/data_objects/data_containers.py
+++ b/yt/data_objects/data_containers.py
@@ -3674,7 +3674,13 @@
         Inside = np.zeros(grid["x"].shape, dtype = 'float64')
         dim = grid["x"].shape
         # need this to take into account non-cube root grid tiles
-        dot_evec = np.zeros([3, dim[0], dim[1], dim[2]])
+        if (len(dim) == 1):
+            dot_evec = np.zeros([3, dim[0]])
+        elif (len(dim) == 2):
+            dot_evec = np.zeros([3, dim[0], dim[1]])
+        elif (len(dim) == 3):
+            dot_evec = np.zeros([3, dim[0], dim[1], dim[2]])
+
         for i, ax in enumerate('xyz'):
             # distance to center
             ar  = grid[ax]-self.center[i]

diff -r 8c4d68f82036d661419006a19058b0ff9c2a664e -r 958de8ec7d1489664bd88f57054352cee0c82559 yt/utilities/command_line.py
--- a/yt/utilities/command_line.py
+++ b/yt/utilities/command_line.py
@@ -1437,6 +1437,9 @@
         print
         print "Recall you can create a new SSH tunnel dynamically by pressing"
         print "~C and then typing -L%s:localhost:%s" % (app.port, app.port)
+        print "where the first number is the port on your local machine. "
+        print
+        print "If you are using %s on your machine already, try -L8889:localhost:%s" % (app.port, app.port)
         print
         print "Additionally, while in the notebook, we recommend you start by"
         print "replacing 'yt.mods' with 'yt.imods' like so:"

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

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