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from __future__ import annotations

from dataclasses import dataclass

import torch

from ...utils import BaseOutput


@dataclass
class DiffusionGemmaPipelineOutput(BaseOutput):
    """
    Output class for DiffusionGemma block-diffusion generation.

    Args:
        sequences (`torch.LongTensor` of shape `(batch_size, gen_length)`):
            The generated token IDs (the prompt is stripped off).
        texts (`list[str]`, *optional*):
            The decoded text, one string per sequence. Only set for `output_type="text"`.
    """

    sequences: torch.LongTensor
    texts: list[str] | None = None