Datasets:
Download Python/train/3.13/async-generators/modern_04.py from SwashBuckler001/idiombench: direct link, hf CLI and curl.
- Browser
- Download file 289 Bytes
-
https://huggingface.co/datasets/SwashBuckler001/idiombench/resolve/main/Python/train/3.13/async-generators/modern_04.py
- Command line
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hf download hf://datasets/SwashBuckler001/idiombench/Python/train/3.13/async-generators/modern_04.py
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curl -L -o modern_04.py https://huggingface.co/datasets/SwashBuckler001/idiombench/resolve/main/Python/train/3.13/async-generators/modern_04.py
289 Bytes
| async def square_series(con, to): | |
| async with con.transaction(): | |
| cursor = con.cursor( | |
| 'SELECT generate_series(0, $1) AS i', to) | |
| async for row in cursor: | |
| yield row['i'] ** 2 | |
| async for i in square_series(con, 1000): | |
| if i == 100: | |
| break | |