scandeval.types
docs
module
scandeval.types
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97 | """Types used throughout the project."""
import typing as t
from numpy.typing import NDArray
if t.TYPE_CHECKING:
from .data_models import GenerativeModelOutput
ScoreDict = dict[str, dict[str, float] | list[dict[str, float]]]
Predictions = NDArray | list[str] | list[list[str]]
Labels = NDArray | list[str] | list[list[str]]
class ComputeMetricsFunction(t.Protocol):
"""A function used to compute the metrics."""
def __call__(
self,
model_outputs_and_labels: tuple[
NDArray | list[str] | list[list[str]], NDArray | list[str] | list[list[str]]
],
) -> dict[str, float]:
"""Compute the metrics.
Args:
model_outputs_and_labels:
The model outputs and labels.
Returns:
The computed metrics.
"""
...
class ExtractLabelsFunction(t.Protocol):
"""A function used to extract the labels from the generated output."""
def __call__(
self, input_batch: dict[str, list], model_output: "GenerativeModelOutput"
) -> list[str]:
"""Extract the labels from the generated output.
Args:
input_batch:
The input batch.
model_output:
The model output.
Returns:
The extracted labels.
"""
...
def is_list_of_int(x: t.Any) -> t.TypeGuard[list[int]]:
"""Check if an object is a list of integers.
Args:
x:
The object to check.
Returns:
Whether the object is a list of integers.
"""
return isinstance(x, list) and all(isinstance(i, int) for i in x)
def is_list_of_list_of_int(x: t.Any) -> t.TypeGuard[list[list[int]]]:
"""Check if an object is a list of list of integers.
Args:
x:
The object to check.
Returns:
Whether the object is a list of list of integers.
"""
return (
isinstance(x, list)
and all(isinstance(i, list) for i in x)
and all(isinstance(j, int) for i in x for j in i)
)
def is_list_of_str(x: t.Any) -> t.TypeGuard[list[str]]:
"""Check if an object is a list of integers.
Args:
x:
The object to check.
Returns:
Whether the object is a list of strings.
"""
return isinstance(x, list) and all(isinstance(i, str) for i in x)
|