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Turn numpy to jax numpy in reshape.py. numpy gives issues with jit and grad.

def _parse_ptrace_inputs(dims, sel, shape):
dims = np.atleast_1d(dims).ravel()
sel = np.atleast_1d(sel)
dims = jnp.atleast_1d(dims).ravel()

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I think since jnp is not defined in the header nothing will happen, maybe you should change jnp to JaxArray or import jax.numpy as jnp

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