# Generated by SnakeBridge v0.13.0 - DO NOT EDIT MANUALLY
# Regenerate with: mix compile
# Library: dspy 3.1.2
# Python module: dspy.utils.unbatchify
# Python class: Unbatchify

defmodule Dspy.Utils.Unbatchify do
  @moduledoc """
  Wrapper for Python class Unbatchify.
  """
  def __snakebridge_python_name__, do: "dspy.utils.unbatchify"
  def __snakebridge_python_class__, do: "Unbatchify"
  def __snakebridge_library__, do: "dspy"
  @opaque t :: SnakeBridge.Ref.t()

  @doc """
  Initializes the Unbatchify.



  ## Parameters

  - `batch_fn` - The batch-processing function that accepts a list of inputs and returns a list of outputs.
  - `max_batch_size` - The maximum number of items to include in a batch.
  - `max_wait_time` - The maximum time (in seconds) to wait for batch to fill before processing.
  """
  @spec new(term(), list(term()), keyword()) ::
          {:ok, SnakeBridge.Ref.t()} | {:error, Snakepit.Error.t()}
  def new(batch_fn, args, opts \\ []) do
    {args, opts} = SnakeBridge.Runtime.normalize_args_opts(args, opts)
    SnakeBridge.Runtime.call_class(__MODULE__, :__init__, [batch_fn] ++ List.wrap(args), opts)
  end

  @doc """
  Worker thread that batches inputs and processes them using batch_fn.

  ## Returns

  - `term()`
  """
  @spec _worker(SnakeBridge.Ref.t(), keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
  def _worker(ref, opts \\ []) do
    SnakeBridge.Runtime.call_method(ref, :_worker, [], opts)
  end

  @doc """
  Stops the worker thread and cleans up resources.

  ## Returns

  - `term()`
  """
  @spec close(SnakeBridge.Ref.t(), keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
  def close(ref, opts \\ []) do
    SnakeBridge.Runtime.call_method(ref, :close, [], opts)
  end
end