fixed bug in link_copy (and disable by default)
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parent
f7d0b88faf
commit
8a92ce981b
22
storage.py
22
storage.py
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@ -55,7 +55,7 @@ def dictToH5Group(d,group,link_copy=True):
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if isinstance(value,(list,tuple)): value = np.asarray(value)
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if isinstance(value,dict):
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group.create_group(key)
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dictToH5Group(value,group[key])
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dictToH5Group(value,group[key],link_copy=link_copy)
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elif value is None:
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group[key] = "NONE_PYTHON_OBJECT"
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elif isinstance(value,np.ndarray):
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@ -65,22 +65,22 @@ def dictToH5Group(d,group,link_copy=True):
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elif isinstance(value,np.ndarray) and value.ndim == 1 and isinstance(value[0],np.ndarray):
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group.create_group(key)
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group[key].attrs["IS_LIST_OF_ARRAYS"] = True
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for index,array in enumerate(value): dictToH5Group( { "index%010d"%index : array},group[key] );
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for index,array in enumerate(value): dictToH5Group( { "index%010d"%index : array},group[key],link_copy=link_copy );
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TOTRY = False; # don't even try to save as generic call group[key]=value
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else:
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if link_copy:
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found_address = None
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for address,(file_handle,array) in _array_cache.items():
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if np.array_equal(array,value) and group.file == file_handle:
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log.info("Found array in cache, asked for %s/%s, found as %s"%(group.name,key,address))
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found_address = address
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break
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if found_address is not None:
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value = group.file[found_address]
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try:
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if TOTRY:
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group[key] = value
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if link_copy:
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log.info("Addind array %s to cache"%(group.name))
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log.info("Addind array %s to cache"%(group[key].name))
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_array_cache[ group[key].name ] = (group.file,value)
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except Exception as e:
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log.warning("Can't save %s, error was %s"%(key,e))
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@ -92,13 +92,13 @@ def dictToH5Group(d,group,link_copy=True):
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log.error("Can't save %s, error was %s"%(key,e))
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def dictToH5(h5,d):
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def dictToH5(h5,d,link_copy=False):
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""" Save a dictionary into an hdf5 file
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TODO: add capability of saving list of array
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h5py is not capable of handling dictionaries natively"""
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h5 = h5py.File(h5,mode="w")
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# group = h5.create_group("/")
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dictToH5Group(d,h5["/"])
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dictToH5Group(d,h5["/"],link_copy=link_copy)
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h5.close()
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def h5ToDict(h5,readH5pyDataset=True):
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@ -161,7 +161,7 @@ def save(fname,d,link_copy=True):
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if extension == ".npz":
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return dictToNpz(fname,d)
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elif extension == ".h5":
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return dictToH5(fname,d)
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return dictToH5(fname,d,link_copy=link_copy)
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elif extension == ".npy":
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return dictToNpy(fname,d)
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else:
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@ -286,7 +286,13 @@ class DataStorage(dict):
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keys = [k for k in keys if k[0] != '_' ]
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return keys
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def save(self,fname=None,link_copy=True):
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def save(self,fname=None,link_copy=False):
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""" link_copy: only works in hfd5 format
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save space by creating link when identical arrays are found,
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it slows down the saving (3 or 4 folds) but saves A LOT of space
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when saving different dataset together (since it does not duplicate
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internal pyfai matrices
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"""
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if fname is None: fname = self.filename
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assert fname is not None
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save(fname,self,link_copy=link_copy)
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