uncommented some debug output for mcsm, pandas and numpy conflict. So temporarily resolved it by running from base env
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3 changed files with 9 additions and 4 deletions
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@ -163,7 +163,7 @@ def get_results():
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output_df = pd.DataFrame()
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url_counter = 1 # HURR DURR COUNT STARTEDS AT ONE1`!1
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success_counter = 1
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infile_len = os.popen('wc -l < %s' % result_urls).read() # quicker than using Python :-) #FIXME filenme (infile_urls)
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infile_len = os.popen('wc -l < %s' % result_urls).read() # quicker than using Python :-)
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print('Total URLs:', infile_len)
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@ -181,7 +181,7 @@ def get_results():
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url_counter += 1
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print('Total URLs: %s Successful: %s Failed: %s' % (url_counter-1, success_counter-1, (url_counter - success_counter)))
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#print('\nOutput file created:', output_dir + gene.lower() + '_mcsm_output.csv')
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output_df.to_csv(mcsm_output, index = None, header = True)
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#%%=====================================================================
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def format_results():
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