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dspex lib snakebridge_generated dspy datasets hot_pot_qa.ex
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lib/snakebridge_generated/dspy/datasets/hot_pot_qa.ex

# Generated by SnakeBridge v0.16.0 - DO NOT EDIT MANUALLY
# Regenerate with: mix compile
# Library: dspy 3.1.3
# Python module: dspy.datasets
# Python class: HotPotQA
defmodule Dspy.Datasets.HotPotQA do
@moduledoc """
Wrapper for Python class HotPotQA.
"""
def __snakebridge_python_name__, do: "dspy.datasets"
def __snakebridge_python_class__, do: "HotPotQA"
def __snakebridge_library__, do: "dspy"
@opaque t :: SnakeBridge.Ref.t()
@doc """
Initialize self. See help(type(self)) for accurate signature.
## Parameters
- `args` (term())
- `only_hard_examples` (term() keyword-only default: True)
- `keep_details` (term() keyword-only default: 'dev_titles')
- `unofficial_dev` (term() keyword-only default: True)
- `kwargs` (term())
"""
@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 """
Python method `HotPotQA._shuffle_and_sample`.
## Parameters
- `split` (String.t())
- `data` (term())
- `size` (term())
- `seed` (integer() default: 0)
## Returns
- `list(term())`
"""
@spec _shuffle_and_sample(
SnakeBridge.Ref.t(),
String.t(),
term(),
term(),
list(term()),
keyword()
) :: {:ok, list(term())} | {:error, Snakepit.Error.t()}
def _shuffle_and_sample(ref, split, data, size, args, opts \\ []) do
{args, opts} = SnakeBridge.Runtime.normalize_args_opts(args, opts)
SnakeBridge.Runtime.call_method(
ref,
:_shuffle_and_sample,
[split, data, size] ++ List.wrap(args),
opts
)
end
@doc """
Python method `HotPotQA.prepare_by_seed`.
## Parameters
- `train_seeds` (term() default: None)
- `train_size` (integer() default: 16)
- `dev_size` (integer() default: 1000)
- `divide_eval_per_seed` (boolean() default: True)
- `eval_seed` (integer() default: 2023)
- `kwargs` (term())
## Returns
- `term()`
"""
@spec prepare_by_seed(SnakeBridge.Ref.t(), list(term()), keyword()) ::
{:ok, term()} | {:error, Snakepit.Error.t()}
def prepare_by_seed(ref, args, opts \\ []) do
{args, opts} = SnakeBridge.Runtime.normalize_args_opts(args, opts)
SnakeBridge.Runtime.call_method(ref, :prepare_by_seed, [] ++ List.wrap(args), opts)
end
@doc """
Python method `HotPotQA.reset_seeds`.
## Parameters
- `train_seed` (term() default: None)
- `train_size` (term() default: None)
- `eval_seed` (term() default: None)
- `dev_size` (term() default: None)
- `test_size` (term() default: None)
## Returns
- `nil`
"""
@spec reset_seeds(SnakeBridge.Ref.t(), list(term()), keyword()) ::
{:ok, nil} | {:error, Snakepit.Error.t()}
def reset_seeds(ref, args, opts \\ []) do
{args, opts} = SnakeBridge.Runtime.normalize_args_opts(args, opts)
SnakeBridge.Runtime.call_method(ref, :reset_seeds, [] ++ List.wrap(args), opts)
end
@spec dev(SnakeBridge.Ref.t()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
def dev(ref) do
SnakeBridge.Runtime.get_attr(ref, :dev)
end
@spec test(SnakeBridge.Ref.t()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
def test(ref) do
SnakeBridge.Runtime.get_attr(ref, :test)
end
@spec train(SnakeBridge.Ref.t()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
def train(ref) do
SnakeBridge.Runtime.get_attr(ref, :train)
end
end