<jupyter_start><jupyter_text>Part 1: Process All HB<jupyter_code>host = 'atat_21mer'
h_agent = HBAgent(host, bigtraj_folder, corr_folder)
#h_agent.make_df()
h_agent.df<jupyter_output><empty_output><jupyter_text>Part 2: Process All Backbone<jupyter_code>host = 'atat_21mer'
strand_id = 'STRAND2'
b_agent = BackboneAgent(host, strand_id, bigtraj_folder, corr_folder)
#b_agent.make_df()
"""
hosts = ['a_tract_21mer', 'g_tract_21mer', 'gcgc_21mer']
strand_lst = ['STRAND1', 'STRAND2']
for host in hosts:
    for strand_id in strand_lst:
        b_agent = BackboneAgent(host, strand_id, bigtraj_folder, corr_folder)
        b_agent.make_df()
"""
b_agent.df<jupyter_output><empty_output><jupyter_text>Part 3: Process All Stack<jupyter_code>host = 'gcgc_21mer'
strand_id = 'STRAND2'
s_agent = StackAgent(host, strand_id, bigtraj_folder, corr_folder)
#s_agent.make_df()
s_agent.df<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12416851441241686, 'fraction_numerical': 0.02106430155210643, 'mean_word_length': 7.9405940594059405, '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': '14737', 'license': 'MIT', 'n_tokens_mistral': 397, 'n_tokens_neox': 375, 'n_words': 61, 'path': 'notebooks/.ipynb_checkpoints/correlation_HB_backbone_0-checkpoint.ipynb', 'repo_name': 'yizaochen/enmspring', 'size': '902'}