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# Copyright Lightning AI. Licensed under the Apache License 2.0, see LICENSE file.
from litgpt.data import LongForm
from litgpt.prompts import Longform as LongFormPromptStyle
def test_longform(mock_tokenizer, longform_path):
longform = LongForm(download_dir=longform_path, num_workers=0)
assert isinstance(longform.prompt_style, LongFormPromptStyle)
longform.connect(mock_tokenizer, batch_size=2, max_seq_length=10)
longform.prepare_data()
longform.setup()
train_dataloader = longform.train_dataloader()
val_dataloader = longform.val_dataloader()
assert len(train_dataloader) == 9
assert len(val_dataloader) == 5
train_batch = next(iter(train_dataloader))
val_batch = next(iter(val_dataloader))
assert train_batch.keys() == val_batch.keys() == {"input_ids", "labels", "token_counts"}
for key in ["input_ids", "labels"]:
assert train_batch[key].shape == (2, 10), f"Unexpected shape for train_batch[{key}]"
assert val_batch[key].shape == (2, 10), f"Unexpected shape for val_batch[{key}]"
assert isinstance(train_dataloader.dataset.prompt_style, LongFormPromptStyle)
assert isinstance(val_dataloader.dataset.prompt_style, LongFormPromptStyle)
# has attributes from super class `LightningDataModule`
assert longform.prepare_data_per_node
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