def test_split(self):
data = list(range(50))
chu = iterables.split(data, 10)
self.assertEqual(len(chu), 10)
unchu = iterables.flatten(chu)
self.assertEqual(data, unchu)
chu = iterables.split(data, 1)
self.assertEqual(len(chu), 1)
unchu = iterables.flatten(chu)
self.assertEqual(data, unchu)
chu = iterables.split(data, 60, padWith=[None])
self.assertEqual(len(chu), 60)
unchu = iterables.flatten(chu)
self.assertEqual(len(unchu), 60)
chu = iterables.split(data, 60, padWith=[None])
self.assertEqual(len(chu), 60)
data = [0]
chu = iterables.split(data, 1)
unchu = iterables.flatten(chu)
self.assertEqual(unchu, data)
def createFormattedStrWithDelimiter(
dataList, maxNumberOfValuesBeforeDelimiter=9, delimiter="\n"
):
r"""
Return a formatted string with delimiters from a list of data.
Parameters
----------
dataList : list
List of data that will be formatted into a string
maxNumberOfValuesBeforeDelimiter : int
maximum number of values to have before the delimiter is added
delimiter : str
A delimiter on the formatted string (default: "\n")
Notes
-----
As an example::
>>> createFormattedStrWithDelimiter(['hello', 'world', '1', '2', '3', '4'],
... maxNumberOfValuesBeforeDelimiter=3, delimiter = '\n')
"hello, world, 1, \n2, 3, \n4, 5\n"
"""
formattedString = ""
if not dataList:
return formattedString
if not maxNumberOfValuesBeforeDelimiter:
numRows = 1
else:
numRows = (
int(
math.ceil(
float(len(dataList)) / float(maxNumberOfValuesBeforeDelimiter)
)
)
or 1
)
# Create a list of string delimiters to use when joining the strings
commaList = ["," for d in dataList]
commaList[-1] = ""
dataList = [str(d) + commaList[i] for i, d in enumerate(dataList)]
for splitList in iterables.split(dataList, n=numRows, padWith=""):
formattedString += " ".join(splitList) + delimiter
return formattedString
def getPreferredProduct(self, libraryNucNames):
"""
Get the index of the most preferred transmutation product/decay daughter.
Notes
-----
The ARMI burn chain is not a full burn chain. It short circuits shorter half-lives, and uses lumped nuclides
as catch-all objects for things that just sit around. Consequently, the "preferred" product/daughter
may not be actual physical product/daughter.
"""
for product in self.productNuclides:
if product in libraryNucNames:
return product
groupedNames = iterables.split(libraryNucNames,
max(1, int(len(libraryNucNames) / 10)))
msg = ("Could not find suitable product/daughter for {}.\n"
"The available options were:\n {}".format(
self,
",\n ".join(", ".join(chunk) for chunk in groupedNames)))
raise KeyError(msg)
def _scatterList(lst):
if armi.MPI_RANK == 0:
chunked = iterables.split(lst, armi.MPI_SIZE)
else:
chunked = None
return armi.MPI_COMM.scatter(chunked, root=0)
