<jupyter_start><jupyter_text>pyiron example notebookThis is a placeholder example notebook running and atomistic Lammps job.<jupyter_code>from pyiron_feal import Project
import numpy as np
pr = Project("projects/example")
pr.zerok.plot_phases_0K()
rep = 8
solid_solution = pr.create.structure.FeAl.bcc(c_Al=0.18, repeat=rep)
b2 = pr.create.structure.FeAl.b2(repeat=rep)
neighbors = 14
topology = solid_solution.get_neighbors(num_neighbors=neighbors).indices
pr.mcmd_sro.define_clustering(
    reference_environments={'b2': b2.get_chemical_symbols()}, 
    topology=topology,
    threshold=neighbors-3
)
cluster = pr.mcmd_sro.cluster(env=solid_solution.get_chemical_symbols())
solid_solution[[id_ for clust in cluster.data['b2'] for id_ in clust]].plot3d()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11082802547770701, 'fraction_numerical': 0.017834394904458598, 'mean_word_length': 7.273684210526316, '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': '441575', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 301, 'n_tokens_neox': 282, 'n_words': 50, 'path': 'example.ipynb', 'repo_name': 'liamhuber/FeAl_solution', 'size': '785'}