def testDescrStructure(self):
"""Check structure of the descr list.
"""
common.verbosePrint('\nTesting descr structure')
for item in nriterators.flattenDescr(self.descr, check=True):
self.failIfEqual(item, None)
def testDescrStructure(self):
"""Check structure of the descr list.
"""
common.verbosePrint('\nTesting descr structure')
for item in nriterators.flattenDescr(self.descr, check=True):
self.failIfEqual(item, None)
def fromnumpy(array):
"""
Create a new instance of a `RecArray` from NumPy `array`.
If nested records are present, a `NestedRecArray` is returned. The
input `array` must be a NumPy array or record (it is not checked).
"""
# Convert the original description based in the array protocol in
# something that can be understood by the NestedRecArray
# constructor.
descr = [i for i in convertFromAPDescr(array.dtype.descr)]
# Flat the description
flatDescr = [i for i in nriterators.flattenDescr(descr)]
# Flat the structure descriptors
flatFormats = [i for i in nriterators.getFormatsFromDescr(flatDescr)]
flatNames = [i for i in nriterators.getNamesFromDescr(flatDescr)]
# Create a regular RecArray
if array.shape == ():
shape = 1 # Scalar case. Shape = 1 will provide an adequate buffer.
else:
shape = array.shape
rarray = numarray.records.array(
array.data, formats=flatFormats, names=flatNames, shape=shape, byteorder=sys.byteorder, aligned=False
) # aligned RecArrays are not supported yet
# A ``NestedRecArray`` is only needed if there are nested fields.
# This check has been disabled because a NestedRecArray does offer
# more features that the users of PyTables 1.x are used to, most
# specially, the __getitem__(fieldname) special method.
# if '/' in ''.join(flatNames):
# return NestedRecArray(rarray, descr)
# return rarray
return NestedRecArray(rarray, descr)
def _checkDescr(descr):
"""
Check the format of the `descr` list.
For an explanation of argument meanings see the `array()` function.
"""
# descr must be a list
if not isinstance(descr, list):
raise TypeError("""the descr argument must be a list!""")
# descr must be a list of 2-tuples
for item in nriterators.flattenDescr(descr, check=True):
if item is None:
raise TypeError("""elements of the `descr` list must be 2-tuples!""")
def _checkDescr(descr):
"""
Check the format of the `descr` list.
For an explanation of argument meanings see the `array()` function.
"""
# descr must be a list
if not isinstance(descr, list):
raise TypeError("""the descr argument must be a list!""")
# descr must be a list of 2-tuples
for item in nriterators.flattenDescr(descr, check=True):
if item is None:
raise TypeError(
"""elements of the `descr` list must be 2-tuples!""")
def fromnumpy(array):
"""
Create a new instance of a `RecArray` from NumPy `array`.
If nested records are present, a `NestedRecArray` is returned. The
input `array` must be a NumPy array or record (it is not checked).
"""
# Convert the original description based in the array protocol in
# something that can be understood by the NestedRecArray
# constructor.
descr = [i for i in convertFromAPDescr(array.dtype.descr)]
# Flat the description
flatDescr = [i for i in nriterators.flattenDescr(descr)]
# Flat the structure descriptors
flatFormats = [i for i in nriterators.getFormatsFromDescr(flatDescr)]
flatNames = [i for i in nriterators.getNamesFromDescr(flatDescr)]
# Create a regular RecArray
if array.shape == ():
shape = 1 # Scalar case. Shape = 1 will provide an adequate buffer.
else:
shape = array.shape
rarray = numarray.records.array(
array.data,
formats=flatFormats,
names=flatNames,
shape=shape,
byteorder=sys.byteorder,
aligned=False) # aligned RecArrays are not supported yet
# A ``NestedRecArray`` is only needed if there are nested fields.
# This check has been disabled because a NestedRecArray does offer
# more features that the users of PyTables 1.x are used to, most
# specially, the __getitem__(fieldname) special method.
# if '/' in ''.join(flatNames):
# return NestedRecArray(rarray, descr)
# return rarray
return NestedRecArray(rarray, descr)
