added validation on identifiers input
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@ -49,13 +49,9 @@ class Dataset:
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if array.shape[0]==1:
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if array.shape[0]==1:
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array = array.T
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array = array.T
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self.shape = array.shape
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self.shape = array.shape
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if identifiers!=None:
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if identifiers!=None:
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identifier_shape = [len(i[1]) for i in identifiers]
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self._validate_identifiers(identifiers)
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if len(identifier_shape)!=len(self.shape):
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raise ValueError, "Identifier list length must equal array dims"
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for ni, na in zip(identifier_shape, self.shape):
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if ni!=na:
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raise ValueError, "identifier-array mismatch in %s: (idents: %s, array: %s)" %(self._name, ni, na)
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self._set_identifiers(identifiers, self._all_dims)
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self._set_identifiers(identifiers, self._all_dims)
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else:
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else:
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self._identifiers = self._create_identifiers(self.shape, self._all_dims)
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self._identifiers = self._create_identifiers(self.shape, self._all_dims)
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@ -197,6 +193,17 @@ class Dataset:
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"""
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"""
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return copy.deepcopy(self)
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return copy.deepcopy(self)
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def _validate_identifiers(self, identifiers):
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for dim_name, ids in identifiers:
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if len(set(ids)) != len(ids):
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raise ValueError("Identifiers not unique in : %s" %dim_name)
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identifier_shape = [len(i[1]) for i in identifiers]
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if len(identifier_shape)!=len(self.shape):
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raise ValueError("Identifier list length must equal array dims")
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for ni, na in zip(identifier_shape, self.shape):
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if ni != na:
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raise ValueError, "Identifier-array mismatch: %s: (idents: %s, array: %s)" %(self._name, ni, na)
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class CategoryDataset(Dataset):
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class CategoryDataset(Dataset):
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"""The category dataset class.
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"""The category dataset class.
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@ -490,4 +497,3 @@ def read_ftsv(fd):
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return ds
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return ds
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