Numpy2.0 complex types update #1
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Also removes special case for old unsupported numpy 1.16
Numpy 2.0 uses C99 complex variables, which come in three varieties: complex floats, complex doubles, and complex long doubles. Numpy defines corresponding types: npy_cfloat, npy_cdouble, npy_clongdouble. We need to translate between these sizes and bit-width sizes, like npy_complex64 and npy_complex128. The alises added do so, as least in the cases where doubles have 32 or 64 bits
Updated pytensor_complex struct to use get/set real/imag aliases defined above. Note: redefining the complex arithmetic here means that we aren't treating NaNs and infinities as carefully as the C99 standard suggets (see Appendix G of the standard). The code has been like this since it was added to Theano, so we're keeping the existing behavior.
We need the bit width of the complex types so that we can choose the right get/set operators
Many more tests pass after fixing this.
Github merge added back some changes from the commit that removed custom complex types, which caused some tests to start failing again.
The macros select based on the underlying numpy type, so we don't need to find this explicitly, like the previous solution was doing.
These need to be copied into the source code since they're not available in Numpy 1.x. They define macros with the Numpy 1.x behavior for getting real and imaginary parts. In Numpy 2.0 these macros are already defined with the new definitions, so this addition to our code will be ignored in Numpy 2.0
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