<jupyter_start><jupyter_text>get sequences<jupyter_code>#from sabueso.tools.string_uniprot import to_string_fasta_text
#from sabueso.tools.string_fasta_text import get_sequences
#item = 'uniprot:P19367'
#item = 'uniprot:P52789'
#item = 'uniprot:P52790'
#item = 'uniprot:P35557'
#item = to_string_fasta_text(item)
#sequences = get_sequences(item)
#sequences<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11658031088082901, 'fraction_numerical': 0.05181347150259067, 'mean_word_length': 11.09375, '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': '446381', 'license': 'MIT', 'n_tokens_mistral': 175, 'n_tokens_neox': 158, 'n_words': 22, 'path': 'docs/contents/tools/string_fasta_text/get_sequences.ipynb', 'repo_name': 'dprada/sabueso', 'size': '386'}