Source Code for Module SloppyCell.OldScipySupport

 1  """ 
 2  Alters SciPy 0.3.2 to look like version SciPy 0.5.1 as far as SloppyCell is 
 3  concerned. 
 4   
 5  See also addAssignmentRulesToFunctionBody in ReactionNetworks/Network_mod.py 
 6  """ 
 7  import scipy 
 8   
 9  if int(scipy.__version__.split('.')[1]) < 4: 
10      # Type names have changed 
11      scipy.float_ = scipy.Float 
12      scipy.float64 = scipy.Float64 
13      scipy.int_ = scipy.Int 
14      scipy.int32 = scipy.Int32 
15   
16      # Create an empty class to move around the limits module 
17      # http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/52308 
18 -    class Bunch(dict): 
19 -        def __init__(self,**kw): 
20              dict.__init__(self,kw) 
21              self.__dict__.update(kw) 
22   
23      # Move scipy.limits to scipy.misc.limits 
24      scipy.misc = Bunch(limits = scipy.limits) 
25   
26      # The seeding for the random number generator has changed. This 
27      #  should be compatible and useful 
28      scipy.stats.old_seed = scipy.stats.seed 
29 -    def new_seed(seed=None): 
30          if seed is None: 
31              scipy.stats.old_seed() 
32              return 
33   
34          try: 
35              if len(seed) >= 2: 
36                  scipy.stats.old_seed(seed[0], seed[1]) 
37              else: 
38                  scipy.stats.old_seed(seed[0]) 
39          except TypeError: 
40              scipy.stats.old_seed(seed, 0) 
41      scipy.random = Bunch(seed = new_seed) 
42   
43      # Move around fft function 
44      scipy.old_fft = scipy.fft 
45      scipy.fft = Bunch(rfft = scipy.old_fft, irfft = scipy.ifft) 
46   
47      # Method renamed 
48      scipy.outer = scipy.outerproduct 
49   
50      scipy.old_sum = scipy.sum 
51 -    def new_sum(x, axis=None, dtype=None, out=None): 
52          if (dtype is not None) or (out is not None): 
53              raise ValueError, "This use of sum is incompatible with old scipy." 
54          if (axis is not None): 
55              return scipy.old_sum(x, axis) 
56   
57          output = x 
58          for ax in range(len(x.shape)): 
59              output = scipy.old_sum(output) 
60          return output 
61      scipy.sum = new_sum 
62