Array API Item Assignment

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
30/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
python
Domain
api

Research direction

The reproduction is in the issue body and uses arrayfire.array_api; start by running it to confirm the unsupported item-assignment error. Trace the Array API Array implementation and any existing indexing tests, then determine whether assignment support or a documented workaround is the intended completion.

Written by the indexing model from the issue text.

Description

I was trying to use the ArrayFire Array API here to set these values as I'm building out a Lorenz Attractor. Did you have any ideas on how to resolve/workaround an error like this? I'm trying not to just define these in standard ArrayFire arrays, then just calling _asarray on them.

import arrayfire.array_api as np

dxdt = np.empty(x + 1)
dydt = np.empty(x + 1)
dzdt = np.empty(x + 1)

# Initial values
dxdt[0], dydt[0], dzdt[0] = (0.0, 1.0, 1.05)

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[2], [line 19](vscode-notebook-cell:?execution_count=2&line=19)
     [16](vscode-notebook-cell:?execution_count=2&line=16) dzdt = np.empty(x + 1)
     [18](vscode-notebook-cell:?execution_count=2&line=18) # Initial values
---> [19](vscode-notebook-cell:?execution_count=2&line=19) dxdt[0], dydt[0], dzdt[0] = (0.0, 1.0, 1.05)
     [21](vscode-notebook-cell:?execution_count=2&line=21) for i in range(x):
     [22](vscode-notebook-cell:?execution_count=2&line=22)     dxdt[i + 1] = dxdt[i] + σ * (dydt[i] - dxdt[i]) * dt # P(y-x)

TypeError: 'Array' object does not support item assignment
---------------------------------------------------------------------------
Dominant language
Python
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