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)]
Beispiel #5
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 def __init__(self,direct_sum=False):
     BlockMapper.__init__(self, 128)
     self.atamat = None
     self.data = {'row':[],'col':[],'val':[]}
     self.direct_sum = direct_sum
Beispiel #6
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 def __init__(self):
     BlockMapper.__init__(self)
     self.atamat = None
Beispiel #7
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 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