arrayfire / arrayfire/arrayfire-py
Array API Item Assignment
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Descripción
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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Línea de trabajo
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.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- python
- Área
- api
- Tipo de issue
- Nueva funcionalidad
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- 5/5
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- Más de una semana
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- Bastante claro
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- 30/100