File: common_session.dat

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numpy 1%3A1.19.5-1
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>>> import common
>>> print(common.data.__doc__)
i - 'i'-scalar
x - 'i'-array(4)
a - 'f'-array(2,3)

>>> common.data.i = 5
>>> common.data.x[1] = 2 
>>> common.data.a = [[1,2,3],[4,5,6]]
>>> common.foo()
>>> common.foo()
 I=           5
 X=[           0           2           0           0 ]
 A=[
 [   1.00000000     ,   2.00000000     ,   3.00000000     ]
 [   4.00000000     ,   5.00000000     ,   6.00000000     ]
 ]
>>> common.data.a[1] = 45
>>> common.foo()
 I=           5
 X=[           0           2           0           0 ]
 A=[
 [   1.00000000     ,   2.00000000     ,   3.00000000     ]
 [   45.0000000     ,   45.0000000     ,   45.0000000     ]
 ]
>>> common.data.a                 # a is Fortran-contiguous
array([[  1.,   2.,   3.],
       [ 45.,  45.,  45.]], dtype=float32)
>>> common.data.a.flags.f_contiguous
True