<jupyter_start><jupyter_text>Local funtions<jupyter_code>def show_graph(g):
    nx.draw(G, with_labels=True, font_weight='bold')<jupyter_output><empty_output><jupyter_text>Create some graph<jupyter_code>G = nx.Graph()
 G.add_node(1)
G.add_node(2)
#G.add_edge(1, 2)
#G.add_edge(10, 20)
G.add_edge(1, 4)<jupyter_output><empty_output><jupyter_text>Tasks  Circle<jupyter_code>def get_circle(n=30):
    g = nx.Graph(1)
    return g<jupyter_output><empty_output><jupyter_text>2D Lattice<jupyter_code>def get_lattice2D(a=10, b=20):
    pass
def get_lattice3D(a=10, b=20, c= 2):
    pass<jupyter_output><empty_output><jupyter_text>Tree<jupyter_code>def get_tree(num_level=6, num_leaves=5):
    pass<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14722222222222223, 'fraction_numerical': 0.0375, 'mean_word_length': 9.01388888888889, 'pattern_counts': {'":': 0, '<': 21, '<?xml version=': 0, '>': 21, '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': '5', 'dir': 'jupyter-structured-clean-dedup', 'id': '74664', 'license': 'MIT', 'n_tokens_mistral': 346, 'n_tokens_neox': 333, 'n_words': 36, 'path': '01_warmup/warmup.ipynb', 'repo_name': 'psychxkiller/graph-exersizes', 'size': '720'}