<jupyter_start><jupyter_text>Get data for example devices<jupyter_code>import sys
sys.path.append("../")
from devices import supportedDevices, getLayout
from QuantumAwesomeness import *
num_for_type = {'line':[5,11,15,19],'ladder':[4,10,16,20],'square':[4,9,16],'web':[5,11,16,19]}

for device_type in num_for_type.keys():

    devices = []
    for n in num_for_type[device_type]:
        devices.append( device_type + str(n) )
                
    PlotGraphSet ( devices, [True] )<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15459882583170254, 'fraction_numerical': 0.04892367906066536, 'mean_word_length': 4.953488372093023, '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': '179450', 'license': 'Apache-2.0', 'n_tokens_mistral': 202, 'n_tokens_neox': 188, 'n_words': 33, 'path': 'notebooks/.ipynb_checkpoints/Graph_Examples-checkpoint.ipynb', 'repo_name': 'bkalapar/A_Game_to_Benchmark_Quantum_Computers', 'size': '511'}