Added license header to data_logger.py

diff --git a/data_logger.py b/data_logger.py
index 1b6b0a1e154297085413e2b5c79a01f9edcfcb53..72acb7f8960da796cd0565cb0de24710f1ace9bd 100644 (file)
--- a/data_logger.py
+++ b/data_logger.py
@@ -1,7 +1,28 @@
 #!/user/bin/python
 #
-# Define some simple data logging classes for consistency
-# see the test functions for some usage examples
+# data_logger - classes for consistently logging data in an organized
+# fasion.  See the test functions for some usage examples
+#
+# Copyright (C) 2008, William Trevor King
+#
+# This program is free software; you can redistribute it and/or
+# modify it under the terms of the GNU General Public License as
+# published by the Free Software Foundation; either version 3 of the
+# License, or (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
+# See the GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program; if not, write to the Free Software
+# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
+# 02111-1307, USA.
+#
+# The author may be contacted at <wking@drexel.edu> on the Internet, or
+# write to Trevor King, Drexel University, Physics Dept., 3141 Chestnut St.,
+# Philadelphia PA 19104, USA.
 
 import os, os.path
 import stat
@@ -10,6 +31,8 @@ import time
 import string
 import numpy
 
+VERSION = "0.1"
+
 class error (Exception) :
     "Basic module error class"
     pass
@@ -169,7 +192,12 @@ class data_load :
         Load an object saved with data_log.write_binary()
         The file-name must not have been altered.
         """
-        raise Exception, "not implemented"
+        type = file.split("_")[-1]
+        if type == "float" :
+            t = numpy.float
+        else :
+            raise Exception, "read_binary() not implemented for type %s" % (type)
+        return numpy.fromfile(file, dtype=t)
     def read_dict_of_arrays(self, basefile) :
         """
         Load an object saved with data_log.write_binary()