objective_target is typed as PromptTarget but the default value is the REQUIRED_VALUE sentinel. The ignore code attr-defined won’t match the mypy error here (typically assignment for an incompatible default), which will break the mypy --strict pre-commit hook. Use the correct ignore code (or adjust the type to include the sentinel) so mypy is actually suppressed.

In the exception handler, e is an exception instance, so raise e(...) will raise TypeError and mask the real parsing error. Raise a concrete exception type instead (e.g., raise RuntimeError(...) from e or raise type(e)(...) from e). The current type: ignore[...] on the string concatenation also looks unrelated to the actual issue.

This # type: ignore[union-attr] on the return statement is unlikely to match the actual mypy error under --strict (commonly no-any-return here, since json.loads(...) yields Any). If the ignore code doesn’t match, mypy will both report the real error and treat this ignore as unused. Prefer typing/casting the parsed JSON to dict[str, Any] (or update the ignore to the correct mypy error code).

Same issue here: bearer_token is derived from json.loads, so it is easy for mypy to infer Any and raise no-any-return under --strict. # type: ignore[union-attr] won’t suppress that and may be flagged as an unused ignore. Consider casting data["access_token"] to str (and expires_in to int | None) or use the correct ignore code.

create_conversation_scorer is annotated to return Scorer, so assigning it to a FloatScaleScorer-typed variable typically triggers a mypy assignment error (not union-attr). With mypy --strict, the current ignore code may not suppress the real error and can be reported as an unused ignore. Prefer cast(FloatScaleScorer, ...) here (or improve create_conversation_scorer typing via overloads) instead of type: ignore[union-attr].

SeedEntry.dataset_name is not None is a Python identity check and evaluates to a plain bool, not a SQLAlchemy expression, so it doesn’t do what it appears to and also tends to cause a mypy arg-type error inside and_(...). Consider removing that clause or using the SQLAlchemy form (e.g., SeedEntry.dataset_name.isnot(None)), and update/remove the type: ignore[...] accordingly.

row.get["data_type", None] is not valid for a dict (it subscripts the get method) and will raise TypeError at runtime. Use row.get("data_type")/row.get("data_type", None) instead, and consider validating/casting CSV strings (e.g., role/data_type) rather than suppressing with type: ignore here.

The # type: ignore[return-value] on select_words is likely the wrong error code (mypy typically reports this as attr-defined since TextSelectionStrategy has no select_words). With mypy --strict, this can fail CI due to an unsuppressed error and/or an unused-ignore. Prefer casting self._selection_strategy to WordSelectionStrategy inside the word-level branch (or change the ignore to the correct code).

# type: ignore[abstract] on custom_attr is the wrong mypy error category here (this is dynamically adding/accessing an attribute that isn’t declared on MockFloatScaleScorer). Use the appropriate ignore code (typically attr-defined) or avoid the ignore by using setattr/a typed protocol if you want the test to be type-checker-friendly.

These # type: ignore[method-assign] comments don’t match what the lines are doing (they’re reads/indexing into messages[...], not assigning to a method). If you want these ignores to be meaningful, update them to the correct mypy error code for the underlying typing issue (e.g., an index/TypedDict/union-content error) or refactor with cast to avoid the ignore.

image_piece.converted_value_data_type = ... is an attribute assignment; # type: ignore[method-assign] is intended for assignments to methods and likely won’t suppress the intended type-checking error. Use the correct ignore code for an incompatible attribute assignment (commonly assignment) or adjust the test to avoid mutating the typed field directly.

image_piece.converted_value_data_type = ... is an attribute assignment; # type: ignore[method-assign] is intended for assignments to methods and likely won’t suppress the intended type-checking error. Use the correct ignore code for an incompatible attribute assignment (commonly assignment) or adjust the test to avoid mutating the typed field directly.

import_scores_from_csv currently passes None for fields that are not Optional in MessagePiece (original_value_data_type, response_error, and sequence). This will raise at runtime for the documented minimal CSV format (e.g., only role,value). Use sensible defaults when keys are missing (e.g., default data type to "text", response_error to "none", and sequence to -1 or omit the argument) and consider validating/normalizing the CSV values before constructing MessagePiece.

These # type: ignore[method-assign] comments don’t match what the lines are doing (they’re reads/indexing into messages[...], not assigning to a method). If you want these ignores to be meaningful, update them to the correct mypy error code for the underlying typing issue (e.g., an index/TypedDict/union-content error) or refactor with cast to avoid the ignore.

MessagePiece.to_message uses a local import. If this is to avoid a circular import (likely, given pyrit.models.message imports MessagePiece), please add a brief comment explaining that rationale so future refactors don’t “fix” it back to a top-level import.

any idea what specific error the misc is addressing ?