DiamondLightSource / DiamondLightSource/adPython
Providing a numpy ndarray view onto a non-contiguous bit of memory
未關閉
- 主要語言
- Python
- 星號
- 0
- 分支
- 4
- PR 合併指標
- 30 天內沒有已合併 PR
描述
We do a memcpy to get the numpy array int an NDArray, we should be using:
https://docs.scipy.org/doc/numpy/reference/c-api.array.html#c.PyArray_CopyInto
貢獻指南
這個儲存庫沒有索引到貢獻指南
研究方向
Start by locating the memcpy that copies into the NumPy NDArray and compare it with NumPy's PyArray_CopyInto API documentation. Done means the non-contiguous-memory path uses that API instead of memcpy and preserves the intended ndarray contents; no file or test is named in the issue.
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- numpy, python
- 領域
- backend
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 基本清楚
- 新手友好度
- 25/100