[rasterio] numpy arrays in transform.xy, a crs of None, and read(masked=True)

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@omkhpb25 已经在做这个了。

开始于 2026年10月21日。

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Issue 类型
缺陷
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技术栈
numpy, python
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tooling

调研方向

The three problems are in the rasterio stubs bundled in typeshed: rasterio.transform.xy (the rows/cols parameters and return type), DatasetBase.crs, and DatasetReaderBase.read (the return type when masked=True). Reproduce each case with the snippets in the issue, then compare against the current stub signatures. Done means the stubs accept numpy arrays, allow crs to be None, and return a masked array type when masked=True, with the repository's stub tests passing. The issue asks for maintainer approval before a pull request, so confirm that first.

由索引模型根据 Issue 内容生成。

描述

Researched and drafted by Claude (Anthropic's AI model, in Claude Code), which also ran the measurements below; reviewed by @bjlittle before posting.

Type checking geovista against types-rasterio 1.5.2.20261005 turned up three places where the rasterio stubs are narrower than rasterio 1.5.2 at runtime.

  1. rasterio.transform.xy types rows and cols as int | Sequence[int], and its result as tuple[float, float] | tuple[list[float], list[float]]. rasterio takes numpy arrays, and gives arrays back for them:

    import numpy as np
from rasterio.transform import from_origin, xy

transform = from_origin(10.0, 20.0, 1.0, 1.0)
rows, cols = np.meshgrid(np.arange(2), np.arange(3), indexing="ij")
xs, ys = xy(transform, rows.flatten(), cols.flatten())
type(xs)  # <class 'numpy.ndarray'>

    An ndarray is not a Sequence, so a caller passing one needs a cast.

  2. DatasetBase.crs is typed CRS, but a GeoTIFF without a CRS gives None.

  3. DatasetReaderBase.read is typed to return NDArray[Any] whatever masked is, but with masked=True it returns a numpy.ma.MaskedArray, so using its mask doesn't type check.

If any of these would be welcome as a pull request, Claude can prepare one the same way, for @bjlittle to review before it is opened.

🤖 Generated with Claude Code

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