There exist two main functions that are `fprintMatPy.m` and `fprintMatPy2.m` which convert a symbolic expression to a python function.
`fprintMatPy.m` extract the function as is, where `fprintMatPy2.m` is able to split long equations (s.t. consist out of more characters than a given value) to make them parseable by python and cython.
For more details look at the scripts' explainations.
The functions `fprintMatPy*.m` extend `fprintMatPy*.m` to print symbolic matrices, where each row and colum are extracted to one function.
Examples:
`syms a b c; fprintMatPy('test', {'a', 'b', 'c'}, [a*b+c, a^b])` produces output to `test.py`:
def test_1_1(a, b, c):
return c + a*b
def test_1_2(a, b, c):
return a**b
`syms a b c d k; fprintMatPy2('test1', {'a', 'b', 'c', 'd', 'k'}, a*b^k+c+d, 5)` produces output to `test1.py`:
def test1(a, b, c, d, k):
_1 = c
_2 = d
_3 = a*b**k
_0 = _1+_2+_3
return _0
`syms a b c d k; fprintMatPy2('test2', {'a', 'b', 'c', 'd', 'k'}, a*b^k+c+d, 0)` produces output to `test2.py`:
def test(a, b, c, d, k):
_1 = c
_2 = d
_4 = a
_6 = b
_7 = k
_5 = _6**_7
_3 = _4*_5
_0 = _1+_2+_3
return _0
Cite As
Timo (2024). sym2pyfun (https://github.com/tik0/sym2pyfun), GitHub. Retrieved .
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