* Add numba overload for Nonzero

* added numba backend and testsfor Nonzero

* Added numba backend for Nonzero

* Modified the tests and the dispatch for efficiency

Also removes redundant tests

Graph was being broken by Scalar/Tensor conversions that prevented fusion

This will always require a roll at the end, for a minimal gain

isinstance(..., int) does not recognize numpy.integers

Also remove maxsize logic

* fixed Einsum failing with repeated inputs

* Optimise the _ensure_not_equal function
Co-authored-by: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com>

* Fix einsum failing on repeated inputs

* Fix einsum failing with repeated inputs

* Added regression test for repeated inputs to the einsum function

* Fix for failing test
Co-authored-by: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com>

---------
Co-authored-by: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com>

Some poorly implemented BLAS operations don't handle them correctly

* Add transposed argument to `solve` and `solve_triangular`

* Expand test coverage for `Solve` and `SolveTriangular`

Started failing in 0.4.36: https://github.com/jax-ml/jax/issues/26888

Skip failing JAX test

Started failing in 0.4.36 and seems to be fixed in 0.5.1