def __init__(self,c,k,m,seed_s):
BlockMapper.__init__(self)
self.m = m
self.seed_s = seed_s
self.c = c
self.k = k
self.PA = [None for i in range(self.k)]
def __init__(self,c,k):
BlockMapper.__init__(self,1000)
self.c = c # projection size
self.k = k # number of independent trials
self.PA = [None for i in range(self.k)]
def __init__(self,c,k):
BlockMapper.__init__(self,1)
self.c = c
self.k = k
def __init__(self,c,k):
BlockMapper.__init__(self,1000)
self.c = c
self.k = k
self.PA = [None for i in range(self.k)]
def __init__(self,direct_sum=False):
BlockMapper.__init__(self, 128)
self.atamat = None
self.data = {'row':[],'col':[],'val':[]}
self.direct_sum = direct_sum
def __init__(self):
BlockMapper.__init__(self)
self.atamat = None
def __init__(self):
BlockMapper.__init__(self)
self.ba = None
def __init__(self):
BlockMapper.__init__(self)
self.ba = None
def __init__(self, direct_sum=False):
BlockMapper.__init__(self, 128)
self.atamat = None
self.data = {'row': [], 'col': [], 'val': []}
self.direct_sum = direct_sum