tessl install tessl/pypi-asyncstdlib@3.13.0The missing async toolbox - re-implements functions and classes of the Python standard library to make them compatible with async callables, iterables and context managers
Agent Success
Agent success rate when using this tile
84%
Improvement
Agent success rate improvement when using this tile compared to baseline
3.36x
Baseline
Agent success rate without this tile
25%
{
"context": "This criteria evaluates the engineer's ability to use asyncstdlib's any_iter() function to create a uniform interface for processing different types of iterables (sync and async). The focus is on proper usage of any_iter() to handle mixed iterable types and integration with other asyncstdlib utilities.",
"type": "weighted_checklist",
"checklist": [
{
"name": "any_iter() usage",
"description": "Uses asyncstdlib.any_iter() or asyncstdlib.asynctools.any_iter() to convert input sources into a uniform async iterable interface in the aggregate_data() function",
"max_score": 40
},
{
"name": "any_iter() in transform",
"description": "Uses asyncstdlib.any_iter() to uniformly handle different iterable types in the transform_sources() function",
"max_score": 30
},
{
"name": "Async iteration pattern",
"description": "Properly iterates through the result of any_iter() using async for loops to process items from the converted async iterable",
"max_score": 15
},
{
"name": "Collection conversion",
"description": "Uses asyncstdlib collection conversion functions (such as list()) or manual collection to gather results from async iterables into the return value",
"max_score": 10
},
{
"name": "None handling",
"description": "Correctly filters or skips None sources before or while processing with any_iter(), ensuring only valid iterables are processed",
"max_score": 5
}
]
}