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

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2 new commits in yt:

https://bitbucket.org/yt_analysis/yt/commits/44538db9fbd9/
Changeset:   44538db9fbd9
Branch:      yt
User:        ngoldbaum
Date:        2017-03-02 04:33:51+00:00
Summary:     Remove unused yt.utilities.exodusII_reader module

This was added early in the development effort that added support for
unstructured mesh data and the ExodusII frontend. This code is no longer needed
now that we have a full frontend so I'm removing it.
Affected #:  1 file

diff -r 3eca2ae80ab14a48b643d3055d7d3c0933fa77ae -r 44538db9fbd9e307a07148ee6760adae51c993a4 yt/utilities/exodusII_reader.py
--- a/yt/utilities/exodusII_reader.py
+++ /dev/null
@@ -1,51 +0,0 @@
-import string
-from itertools import takewhile
-from netCDF4 import Dataset
-import numpy as np
-from yt.config import ytcfg
-import os
-import warnings
-
-
-def sanitize_string(s):
-    s = "".join(_ for _ in takewhile(lambda a: a in string.printable, s))
-    return s
-
-
-def get_data(fn):
-    warnings.warn("The yt.utilities.exodusII_reader module is deprecated "
-                  "and will be removed in a future release. "
-                  "Please use the normal yt.load() command to access "
-                  "your data instead.")
-    try:
-        f = Dataset(fn)
-    except RuntimeError:
-        f = Dataset(os.path.join(ytcfg.get("yt", "test_data_dir"), fn))
-    fvars = f.variables
-    # Is this correct?
-    etypes = fvars["eb_status"][:]
-    nelem = etypes.shape[0]
-    varnames = [sanitize_string(v.tostring()) for v in
-                fvars["name_elem_var"][:]]
-    nodnames = [sanitize_string(v.tostring()) for v in
-                fvars["name_nod_var"][:]]
-    coord = np.array([fvars["coord%s" % ax][:]
-                     for ax in 'xyz']).transpose().copy()
-    coords = []
-    connects = []
-    data = []
-    for i in range(nelem):
-        connects.append(fvars["connect%s" % (i+1)][:].astype("i8"))
-        ci = connects[-1]
-        coords.append(coord)  # Same for all
-        vals = {}
-        for j, v in enumerate(varnames):
-            values = fvars["vals_elem_var%seb%s" % (j+1, i+1)][:]
-            vals['gas', v] = values.astype("f8")[-1, :]
-        for j, v in enumerate(nodnames):
-            # We want just for this set of nodes all the node variables
-            # Use (ci - 1) to get these values
-            values = fvars["vals_nod_var%s" % (j+1)][:]
-            vals['gas', v] = values.astype("f8")[-1, ci - 1, ...]
-        data.append(vals)
-    return coords, connects, data


https://bitbucket.org/yt_analysis/yt/commits/5d0ca754ce74/
Changeset:   5d0ca754ce74
Branch:      yt
User:        ngoldbaum
Date:        2017-03-15 19:02:53+00:00
Summary:     Merged in ngoldbaum/yt (pull request #2533)

Remove unused yt.utilities.exodusII_reader module

Approved-by: Kacper Kowalik
Approved-by: Britton Smith
Approved-by: Andrew Myers
Affected #:  1 file

diff -r 95401107ce0793c6b74d10c336f0633aaee990d5 -r 5d0ca754ce74cc7e3f4dac94257713032073ec5b yt/utilities/exodusII_reader.py
--- a/yt/utilities/exodusII_reader.py
+++ /dev/null
@@ -1,51 +0,0 @@
-import string
-from itertools import takewhile
-from netCDF4 import Dataset
-import numpy as np
-from yt.config import ytcfg
-import os
-import warnings
-
-
-def sanitize_string(s):
-    s = "".join(_ for _ in takewhile(lambda a: a in string.printable, s))
-    return s
-
-
-def get_data(fn):
-    warnings.warn("The yt.utilities.exodusII_reader module is deprecated "
-                  "and will be removed in a future release. "
-                  "Please use the normal yt.load() command to access "
-                  "your data instead.")
-    try:
-        f = Dataset(fn)
-    except RuntimeError:
-        f = Dataset(os.path.join(ytcfg.get("yt", "test_data_dir"), fn))
-    fvars = f.variables
-    # Is this correct?
-    etypes = fvars["eb_status"][:]
-    nelem = etypes.shape[0]
-    varnames = [sanitize_string(v.tostring()) for v in
-                fvars["name_elem_var"][:]]
-    nodnames = [sanitize_string(v.tostring()) for v in
-                fvars["name_nod_var"][:]]
-    coord = np.array([fvars["coord%s" % ax][:]
-                     for ax in 'xyz']).transpose().copy()
-    coords = []
-    connects = []
-    data = []
-    for i in range(nelem):
-        connects.append(fvars["connect%s" % (i+1)][:].astype("i8"))
-        ci = connects[-1]
-        coords.append(coord)  # Same for all
-        vals = {}
-        for j, v in enumerate(varnames):
-            values = fvars["vals_elem_var%seb%s" % (j+1, i+1)][:]
-            vals['gas', v] = values.astype("f8")[-1, :]
-        for j, v in enumerate(nodnames):
-            # We want just for this set of nodes all the node variables
-            # Use (ci - 1) to get these values
-            values = fvars["vals_nod_var%s" % (j+1)][:]
-            vals['gas', v] = values.astype("f8")[-1, ci - 1, ...]
-        data.append(vals)
-    return coords, connects, data

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

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