Let us walk on the 3-isogeny graph
|
Variables | |
float | barWidth = 0.25 |
fig = plt.subplots(figsize =(12, 8)) | |
list | IT = [12, 30, 1, 8, 22] |
list | ECE = [28, 6, 16, 5, 10] |
list | CSE = [29, 3, 24, 25, 17] |
br1 = np.arange(len(IT)) | |
list | br2 = [x + barWidth for x in br1] |
list | br3 = [x + barWidth for x in br2] |
color | |
width | |
edgecolor | |
label | |
fontweight | |
fontsize |
float barWidth = 0.25 |
Definition at line 4 of file benchmark_graph.py.
br1 = np.arange(len(IT)) |
Definition at line 11 of file benchmark_graph.py.
Definition at line 12 of file benchmark_graph.py.
Definition at line 13 of file benchmark_graph.py.
color |
Definition at line 15 of file benchmark_graph.py.
CSE = [29, 3, 24, 25, 17] |
Definition at line 9 of file benchmark_graph.py.
ECE = [28, 6, 16, 5, 10] |
Definition at line 8 of file benchmark_graph.py.
edgecolor |
Definition at line 16 of file benchmark_graph.py.
fig = plt.subplots(figsize =(12, 8)) |
Definition at line 5 of file benchmark_graph.py.
fontsize |
Definition at line 22 of file benchmark_graph.py.
fontweight |
Definition at line 22 of file benchmark_graph.py.
IT = [12, 30, 1, 8, 22] |
Definition at line 7 of file benchmark_graph.py.
label |
Definition at line 16 of file benchmark_graph.py.
width |
Definition at line 15 of file benchmark_graph.py.