arrayfire / arrayfire/arrayfire-py

Array API Item Assignment

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Beschreibung

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
---------------------------------------------------------------------------
```

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Rechercherichtung

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.

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Bewertung

Tech-Stack
python
Bereich
api
Issue-Typ
Feature
Schwierigkeit
5/5
Geschätzter Aufwand
Über eine Woche
Aktivitätsstatus
Veraltet
Klarheit
Größtenteils klar
Anfängerfreundlichkeit
30/100

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