<jupyter_start><jupyter_text>Test<jupyter_code>import numpy as np
import netCDF4 as nc4
f = nc4.Dataset('jabar_gsmap_1hr.nc','r')
print(f)<jupyter_output><class 'netCDF4._netCDF4.Dataset'>
root group (NETCDF3_CLASSIC data model, file format NETCDF3):
    dimensions(sizes): lon(48), lat(32), time(122689)
    variables(dimensions): float64 [4mlon[0m(lon), float64 [4mlat[0m(lat), float64 [4mtime[0m(time), float32 [4mprecip[0m(time,lat,lon)
    groups:
{'fraction_non_alphanumeric': 0.1608695652173913, 'fraction_numerical': 0.07391304347826087, 'mean_word_length': 8.03921568627451, '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': '411938', 'license': 'MIT', 'n_tokens_mistral': 216, 'n_tokens_neox': 199, 'n_words': 34, 'path': 'logi-gsmap/Untitled.ipynb', 'repo_name': 'taruma/belajar-tsa', 'size': '460'}