add data manipulator
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@ -50,11 +50,9 @@ class H5Table(object):
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------
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------
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get_attr()
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get_attr()
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add_attr()
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add_attr()
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del_attr()
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get_data()
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get_data()
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add_data()
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add_data()
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del_data()
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NOTE
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NOTE
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----
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----
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1. As an interface class, it uses the lazy evaluation design
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1. As an interface class, it uses the lazy evaluation design
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@ -66,6 +64,11 @@ class H5Table(object):
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"""
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"""
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self.h5f_path = h5f_path
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self.h5f_path = h5f_path
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def __del__(self, feature_name=None):
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dataType, h5f_path = lables_to_path(feature_name)
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h5f = h5py.File(self.h5f_path, 'a')
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del h5f[h5f_path]
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def get_attr(self, attr_name=None):
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def get_attr(self, attr_name=None):
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"""
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"""
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"""
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"""
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@ -76,11 +79,6 @@ class H5Table(object):
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"""
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"""
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pass
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pass
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def del_attr(self, ):
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"""
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"""
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pass
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def get_data(self, feature_name=None):
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def get_data(self, feature_name=None):
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""" extract dataset from HDF5 table and return it in a numpy array """
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""" extract dataset from HDF5 table and return it in a numpy array """
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dataType, h5f_path = lables_to_path(feature_name)
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dataType, h5f_path = lables_to_path(feature_name)
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@ -88,12 +86,11 @@ class H5Table(object):
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h5f_dst = h5f[h5f_path] # get the handle for target dataset(table)
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h5f_dst = h5f[h5f_path] # get the handle for target dataset(table)
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return h5f_dst.read_direct(np.zeros(h5f_dst.shape))
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return h5f_dst.read_direct(np.zeros(h5f_dst.shape))
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def add_data(self, ):
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def add_data(self, feature_name, dataset=None):
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"""
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""" adding new feature into existing HDF5 file """
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"""
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dataType, h5f_path = lables_to_path(feature_name)
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pass
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if dataType is not "attr":
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h5f = h5py.File(self.h5f_path, 'a')
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def del_data(self, ):
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h5f.create_dataset(h5f_path, data=dataset)
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"""
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else:
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"""
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raise ValueError("feature {} isn't valid".format(feature_name))
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pass
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