Unstructured-IO / Unstructured-IO/unstructured-inference

[CI/CD] impossible

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Dominant language
Python
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Description

The current version of code, in CI/CD, crash. See here

unstructured_inference/models/donut.py:26: error: Incompatible default for argument "model" (default has type "None", argument has type "str | Path | VisionEncoderDecoderModel")  [assignment]
unstructured_inference/models/donut.py:26: note: PEP 484 prohibits implicit Optional. Accordingly, mypy has changed its default to no_implicit_optional=True
unstructured_inference/models/donut.py:26: note: Use https://github.com/hauntsaninja/no_implicit_optional to automatically upgrade your codebase
unstructured_inference/models/donut.py:27: error: Incompatible default for argument "processor" (default has type "None", argument has type "str | Path | DonutProcessor")  [assignment]
unstructured_inference/models/donut.py:27: note: PEP 484 prohibits implicit Optional. Accordingly, mypy has changed its default to no_implicit_optional=True
unstructured_inference/models/donut.py:27: note: Use https://github.com/hauntsaninja/no_implicit_optional to automatically upgrade your codebase
unstructured_inference/models/donut.py:39: error: Incompatible types in assignment (expression has type "PretrainedConfig", variable has type "str | Path | VisionEncoderDecoderConfig | None")  [assignment]
unstructured_inference/models/donut.py:39: error: Argument 1 to "from_pretrained" of "PretrainedConfig" has incompatible type "str | Path | VisionEncoderDecoderConfig | None"; expected "str | PathLike[Any]"  [arg-type]
unstructured_inference/models/donut.py:42: error: Argument 1 to "from_pretrained" of "ProcessorMixin" has incompatible type "str | Path | DonutProcessor"; expected "str | PathLike[Any]"  [arg-type]
unstructured_inference/models/tables.py:59: error: Incompatible default for argument "model" (default has type "None", argument has type "str | Path | TableTransformerForObjectDetection")  [assignment]
unstructured_inference/models/tables.py:59: note: PEP 484 prohibits implicit Optional. Accordingly, mypy has changed its default to no_implicit_optional=True
unstructured_inference/models/tables.py:59: note: Use https://github.com/hauntsaninja/no_implicit_optional to automatically upgrade your codebase
unstructured_inference/models/tables.py:90: error: "DetrImageProcessor" not callable  [operator]
unstructured_inference/models/tables.py:182: error: Argument 1 to "outputs_to_objects" has incompatible type "dict[Any, Any]"; expected "TableTransformerObjectDetectionOutput"  [arg-type]
Found 8 errors in 2 files (checked 21 source files)

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the reported type-check errors in unstructured_inference/models/donut.py and unstructured_inference/models/tables.py, using the linked CI run as the failure context. Run the repository's CI type-check and address the eight reported errors; done means the check passes without these errors.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ci-cd, machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
42/100

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