def grid_from_description(description):
p = description.split(";")
fdimensions = [int(x) for x in p[0].strip("[]").split(",")]
precision = gpt.str_to_precision(p[1])
cb = str_to_checkerboarding(p[2], len(fdimensions))
obj = None
return grid(fdimensions, precision, cb, obj)
def __init__(self, first, second=None, third=None, fourth=None):
if type(first) == str:
# create from description
p = first.split(";")
fdimensions = [int(x) for x in p[0].strip("[]").split(",")]
precision = gpt.str_to_precision(p[1])
cb = str_to_checkerboarding(p[2])
else:
fdimensions = first
precision = second
if third is None:
cb = full
else:
cb = third
obj = fourth
self.fdimensions = fdimensions
self.gsites = np.prod(self.fdimensions)
self.precision = precision
self.cb = cb
self.nd = len(self.fdimensions)
if obj == None:
self.obj = cgpt.create_grid(fdimensions, precision, cb)
else:
self.obj = obj
# processor is mpi rank, may not be lexicographical (cartesian) rank
self.processor, self.Nprocessors, self.processor_coor, self.gdimensions, self.ldimensions = cgpt.grid_get_processor(
self.obj)
self.mpi = [
self.gdimensions[i] // self.ldimensions[i] for i in range(self.nd)
]
def grid_from_description(description):
p = description.split(";")
assert len(p) % 3 == 0
parent = None
for i in reversed(range(len(p) // 3)):
fdimensions = [int(x) for x in p[3 * i + 0].strip("[]").split(",")]
precision = gpt.str_to_precision(p[3 * i + 1])
cb = str_to_checkerboarding(p[3 * i + 2], len(fdimensions))
obj = None
mpi = None if parent is None else parent.mpi
parent = grid(fdimensions, precision, cb, obj, parent=parent, mpi=mpi)
return parent