mirror of
https://github.com/invoke-ai/InvokeAI
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db5f016826
Unfortunately we cannot do strict floats or ints. The batch data models don't specify the value types, it instead relies on pydantic parsing. JSON doesn't differentiate between float and int, so a float `1.0` gets parsed as `1` in python. As a result, we _must_ accept mixed floats and ints for BatchDatum.items. Tests and validation updated to handle this. Maybe we should update the BatchDatum model to have a `type` field? Then we could parse as float or int, depending on the inputs... |
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| .. | ||
| app | ||
| backend | ||
| fixtures | ||
| inpainting | ||
| test_model_manager | ||
| test_model_probe | ||
| __init__.py | ||
| conftest.py | ||
| dev_prompts.txt | ||
| legacy_tests.sh | ||
| test_config.py | ||
| test_docs.py | ||
| test_graph_execution_state.py | ||
| test_invocation_cache_memory.py | ||
| test_item_storage_memory.py | ||
| test_model_hash.py | ||
| test_model_probe.py | ||
| test_model_search.py | ||
| test_node_graph.py | ||
| test_nodes.py | ||
| test_object_serializer_disk.py | ||
| test_path.py | ||
| test_profiler.py | ||
| test_session_queue.py | ||
| test_sqlite_migrator.py | ||
| validate_pr_prompt.txt | ||