<jupyter_start><jupyter_text>Single Snap<jupyter_code>PATH = "../../../simulations/externalSimulations/oldSimulations/runTests/MultiBinaryTest/Binary0-0/Binary0-0/snap.40_0.h5part"
snap = nbody_snapshot(PATH)
del(snap)
for substep in snap.xget_steps(start=1):
    display(substep[0])
    break<jupyter_output><empty_output><jupyter_text>Snapset no subsnap<jupyter_code>PATH = "../../../simulations/externalSimulations/oldSimulations/runTests/MultiBinaryTest/Binary0-0/Binary0-0"
snapset = snapshot_set(PATH)
snapset.dump_set('/Users/tboudreaux/SAOSummer2018/code/General/nbodyPythonInterface/InterfaceTestData', 'TestDump')
NAM1 = snapset.follow_ID(1)
plt.plot(NAM1['X1'], NAM1['X2'])<jupyter_output><empty_output><jupyter_text>Snapset with subsnap<jupyter_code>PATH = "../../../simulations/externalSimulations/oldSimulations/runTests/MultiBinaryTest/Binary0-0/Binary0-0"
snapset = snapshot_set(PATH, subsnap=True)
del(snapset)
NAM1 = snapset.follow_ID(1)
plt.plot(NAM1['X1'], NAM1['X2'])
NAM1<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15640273704789834, 'fraction_numerical': 0.03421309872922776, 'mean_word_length': 7.677966101694915, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, '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': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '401406', 'license': 'MIT', 'n_tokens_mistral': 401, 'n_tokens_neox': 391, 'n_words': 35, 'path': 'code/General/nbodyPythonInterface/h5Interface.ipynb', 'repo_name': 'tboudreaux/SAOSummer2018REU', 'size': '1023'}