Traceback (most recent call last): File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution executenb( File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 1204, in execute return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/util.py", line 84, in wrapped return just_run(coro(*args, **kwargs)) File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/util.py", line 62, in just_run return loop.run_until_complete(coro) File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/asyncio/base_events.py", line 642, in run_until_complete return future.result() File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 663, in async_execute await self.async_execute_cell( File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 965, in async_execute_cell await self._check_raise_for_error(cell, cell_index, exec_reply) File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 862, in _check_raise_for_error raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content) nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell: ------------------ import autograd.numpy as np from autograd import grad def f8(x): # Assume x is an array x[2] = 3 return x*2 f8_grad = grad(f8) x = 8.4 print("The derivative of f8 is:",f8_grad(x)) ------------------ --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Input In [13], in ()  7 f8_grad = grad(f8)  9 x = 8.4 ---> 11 print("The derivative of f8 is:",f8_grad(x)) File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py:20, in unary_to_nary..nary_operator..nary_f(*args, **kwargs)  18 else:  19 x = tuple(args[i] for i in argnum) ---> 20 return unary_operator(unary_f, x, *nary_op_args, **nary_op_kwargs) File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/differential_operators.py:25, in grad(fun, x)  18 @unary_to_nary  19 def grad(fun, x):  20  """  21  Returns a function which computes the gradient of `fun` with respect to  22  positional argument number `argnum`. The returned function takes the same  23  arguments as `fun`, but returns the gradient instead. The function `fun`  24  should be scalar-valued. The gradient has the same type as the argument.""" ---> 25 vjp, ans = _make_vjp(fun, x)  26 if not vspace(ans).size == 1:  27 raise TypeError("Grad only applies to real scalar-output functions. "  28 "Try jacobian, elementwise_grad or holomorphic_grad.") File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py:10, in make_vjp(fun, x)  8 def make_vjp(fun, x):  9 start_node = VJPNode.new_root() ---> 10 end_value, end_node = trace(start_node, fun, x)  11 if end_node is None:  12 def vjp(g): return vspace(x).zeros() File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py:10, in trace(start_node, fun, x)  8 with trace_stack.new_trace() as t:  9 start_box = new_box(x, t, start_node) ---> 10 end_box = fun(start_box)  11 if isbox(end_box) and end_box._trace == start_box._trace:  12 return end_box._value, end_box._node File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py:15, in unary_to_nary..nary_operator..nary_f..unary_f(x)  13 else:  14 subargs = subvals(args, zip(argnum, x)) ---> 15 return fun(*subargs, **kwargs) Input In [13], in f8(x)  3 def f8(x): # Assume x is an array ----> 4 x[2] = 3  5 return x*2 TypeError: 'ArrayBox' object does not support item assignment TypeError: 'ArrayBox' object does not support item assignment