finish h5table class
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@ -48,15 +48,17 @@ class H5Table(object):
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Absolute path the HDF5 file
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METHOD
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------
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del_entry()
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get_attr()
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add_attr()
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get_data()
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add_data()
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NOTE
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----
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1. As an interface class, it uses the lazy evaluation design
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that read the data only when its absolutely necessary.
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2. The command line used to generate new feature is stored with
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each dataset as dataset attribute.
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"""
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def __init__(self, h5f_path):
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@ -64,20 +66,24 @@ class H5Table(object):
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"""
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self.h5f_path = h5f_path
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def __del__(self, feature_name=None):
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def del_entry(self, feature_name):
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""" delete entry in HDF5 table """
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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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"""
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"""
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def get_attr(self, attr_name):
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h5f = h5py.File(self.h5f_path, 'r')
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dataType, h5f_path = lables_to_path(attr_name)
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return h5f[h5f_path].attrs[attr_name]
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def add_attr(self, ):
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"""
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"""
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pass
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def add_attr(self, attr_name, attr_data):
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h5f = h5py.File(self.h5f_path, 'a')
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dataType, h5f_path = lables_to_path(attr_name)
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if dataType == "attr":
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h5f[h5f_path].attrs[attr_name] = attr_data
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else:
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raise ValueError("Unspported attr: {}".format(attr_name))
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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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@ -94,3 +100,9 @@ class H5Table(object):
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h5f.create_dataset(h5f_path, data=dataset)
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else:
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raise ValueError("feature {} isn't valid".format(feature_name))
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def get_log(self, feature_name):
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""" get cmd history used to generate the data"""
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dataType, h5f_path = lables_to_path(feature_name)
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h5f = ht5py.File(self.h5f_path, 'r')
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return h5f[h5f_path].attrs['log']
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