Break/pure parametrized function

[grayson-helmholz]

Closes #568

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[redeboer]

⚠️ Performance Alert ⚠️

Possible performance regression was detected for benchmark 'TensorWaves benchmark results'.
Benchmark result of this commit is worse than the previous benchmark result exceeding threshold 2.

Benchmark suite	Current: b818ba1	Previous: dadc908	Ratio
benchmarks/expression.py::test_fit[1000-ScipyMinimizer-numpy]	7.067198373578674 iter/sec (stddev: 0.0006566206798525118)	15.653084369591935 iter/sec (stddev: 0.0008327728665216672)	2.21
benchmarks/expression.py::test_fit[1000-ScipyMinimizer-numba]	6.950944860503677 iter/sec (stddev: 0.0007231228780639494)	15.57675266668666 iter/sec (stddev: 0.00019544090300604612)	2.24
benchmarks/expression.py::test_fit[1000-ScipyMinimizer-tf]	0.6204018518144632 iter/sec (stddev: 0.0031506456032551738)	1.4336772024447277 iter/sec (stddev: 0.002264740294580996)	2.31
benchmarks/unbinned_nll.py::test_unbinned_nll_normalization_formula[original-numpy]	29.237973075993775 iter/sec (stddev: 0.00029802421855302494)	82.89554185733245 iter/sec (stddev: 0.00047803677168886747)	2.84
benchmarks/unbinned_nll.py::test_unbinned_nll_normalization_formula[optimized-numpy]	37.661080405219295 iter/sec (stddev: 0.00022621010787575476)	128.51191203721672 iter/sec (stddev: 0.00026220735978772406)	3.41
benchmarks/unbinned_nll.py::test_unbinned_nll_estimator[numpy]	124.35434985283246 iter/sec (stddev: 0.00009557364942604139)	345.5347754466312 iter/sec (stddev: 0.00009775185162269724)	2.78
benchmarks/unbinned_nll.py::test_unbinned_nll_estimator[numba]	97.18704899505222 iter/sec (stddev: 0.0003010207023603398)	547.3808519863164 iter/sec (stddev: 0.00008040495616927644)	5.63

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