diff --git a/lib/damask/h5table.py b/lib/damask/h5table.py index 978d2a564..35b8f841b 100644 --- a/lib/damask/h5table.py +++ b/lib/damask/h5table.py @@ -9,7 +9,6 @@ # ----------------------------------------------------------- # import os -import sys import h5py import numpy as np import xml.etree.cElementTree as ET @@ -31,7 +30,7 @@ except(NameError): # use simple function to mimic the singleton class in # C++/Java def lables_to_path(label, dsXMLPath=None): - """ read the xml definition file and return the path.""" + """read the xml definition file and return the path.""" if dsXMLPath is None: # use the default storage layout in DS_HDF5.xml if "h5table.pyc" in __file__: @@ -51,9 +50,6 @@ def lables_to_path(label, dsXMLPath=None): return (dataType, h5path) -# ----------------------- # -# H5Table interface class # -# ----------------------- # class H5Table(object): """ DESCRIPTION @@ -90,7 +86,7 @@ class H5Table(object): h5f['/'].attrs['description'] = msg def del_entry(self, feature_name): - """ delete entry in HDF5 table """ + """delete entry in HDF5 table""" dataType, h5f_path = lables_to_path(feature_name, dsXMLPath=self.dsXMLFile) with h5py.File(self.h5f_path, 'a') as h5f: @@ -111,7 +107,7 @@ class H5Table(object): h5f.flush() def get_data(self, feature_name=None): - """ extract dataset from HDF5 table and return it in a numpy array """ + """extract dataset from HDF5 table and return it in a numpy array""" dataType, h5f_path = lables_to_path(feature_name, dsXMLPath=self.dsXMLFile) with h5py.File(self.h5f_path, 'a') as h5f: @@ -120,7 +116,7 @@ class H5Table(object): return rst_data def add_data(self, feature_name, dataset, cmd_log=None): - """ adding new feature into existing HDF5 file """ + """adding new feature into existing HDF5 file""" dataType, h5f_path = lables_to_path(feature_name, dsXMLPath=self.dsXMLFile) with h5py.File(self.h5f_path, 'a') as h5f: @@ -131,7 +127,7 @@ class H5Table(object): h5f.flush() def get_cmdlog(self, feature_name): - """ get cmd history used to generate the feature""" + """get cmd history used to generate the feature""" dataType, h5f_path = lables_to_path(feature_name, dsXMLPath=self.dsXMLFile) with ht5py.File(self.h5f_path, 'a') as h5f: