<jupyter_start><jupyter_text>%%timetemp_sel_mean = temp.where(    mask.isel(time_counter=0, deptht=0)).isel(x=500).mean("time_counter")display(temp_sel_mean)temp_sel_mean = temp_sel_mean.compute() print(temp_sel_mean.std())<jupyter_code>from dask.distributed import wait
%%time

temp_sel_mean = temp.isel(x=500).where(
    mask.isel(time_counter=0, deptht=0, x=500)
).mean("time_counter")

display(temp_sel_mean)

temp_sel_mean_1 = temp_sel_mean.persist()

f = wait(temp_sel_mean_1);
print(temp_sel_mean.std())
%%time

temp_sel_mean = temp.where(
    mask.isel(time_counter=0, deptht=0)
).isel(x=500).mean("time_counter")

display(temp_sel_mean)

temp_sel_mean_2 = temp_sel_mean.persist()

f = wait(temp_sel_mean_2);<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15013404825737264, 'fraction_numerical': 0.029490616621983913, 'mean_word_length': 8.576923076923077, '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': '174022', 'license': 'CC0-1.0', 'n_tokens_mistral': 324, 'n_tokens_neox': 311, 'n_words': 33, 'path': '2021-05-06/Dask_chunking_strategies.ipynb', 'repo_name': 'willirath/geomar-open-hacky-hour-2021-04', 'size': '746'}