<jupyter_start><jupyter_text>- Check batching- Check various input/output dimensions<jupyter_code>from timecast.learners._arx_history import ARXHistory
(4,)
model, state = ARXHistory.new(shape=(1, 2, 2, 4), targets=jnp.ones((1, 2, 2, 4)), output_shape=(2, 4))
with flax.nn.stateful(state) as state:
    a = model(features=jnp.ones((2, 2, 2, 4)), targets=jnp.ones((2, 2, 2, 4)))
model.params
dir(model.module)
len(1)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.17303370786516853, 'fraction_numerical': 0.0449438202247191, 'mean_word_length': 6.689655172413793, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '301972', 'license': 'MIT', 'n_tokens_mistral': 191, 'n_tokens_neox': 174, 'n_words': 39, 'path': 'notebooks/2020-05-22 ARX.ipynb', 'repo_name': 'danielsuo/toy_flood', 'size': '445'}