# Generated by SnakeBridge v0.16.0 - DO NOT EDIT MANUALLY
# Regenerate with: mix compile
# Library: dspy 3.2.0
# Python module: dspy.utils
# Python class: DummyVectorizer

defmodule Dspy.Utils.DummyVectorizer do
  @moduledoc """
  Simple vectorizer based on n-grams.
  """
  def __snakebridge_python_name__, do: "dspy.utils"
  def __snakebridge_python_class__, do: "DummyVectorizer"
  def __snakebridge_library__, do: "dspy"
  @opaque t :: SnakeBridge.Ref.t()

  @doc """
  Initialize self.  See help(type(self)) for accurate signature.

  ## Parameters

  - `max_length` (term() default: 100)
  - `n_gram` (term() default: 2)
  """
  @spec new(list(term()), keyword()) :: {:ok, SnakeBridge.Ref.t()} | {:error, Snakepit.Error.t()}
  def new(args, opts \\ []) do
    {args, opts} = SnakeBridge.Runtime.normalize_args_opts(args, opts)
    SnakeBridge.Runtime.call_class(__MODULE__, :__init__, [] ++ List.wrap(args), opts)
  end

  @doc """
  Hashes a string using a polynomial hash function.

  ## Parameters

  - `gram` (term())

  ## Returns

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