I figured out the problem. It's in evalf_symbol.
def evalf_symbol(x, prec, options):
val = options['subs'][x]
The x is the actual symbol and the numpy array provided is indexed by the
string representation of the symbol.
Numpy can't index by a Symbol, ugh.
In [23]: x = array([(1.1, 2.2), (3.3, 4.4), (5.5, 6.6)],
dtype=[(Symbol('s0'), '<f8'), (Symbol('s1'), '<f8')])
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-23-3b59912775d8> in <module>()
----> 1 x = array([(1.1, 2.2), (3.3, 4.4), (5.5, 6.6)],
dtype=[(Symbol('s0'), '<f8'), (Symbol('s1'), '<f8')])
TypeError: data type not understood
Could the evalf_symbol be modified to try the string representation as a
fallback position, i.e. the path of least surprise?
def evalf_symbol(x, prec, options):
try:
val = options['subs'][x]
except IndexError:
val = options['subs'][x.name]
If this is an acceptable change, could someone point me in the direction of
how to submit properly (e.g. ticket/ patch procedure)?
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