mirror of
https://github.com/Priyatham-sai-chand/compara-deep-learning.git
synced 2026-10-05 08:11:34 -07:00
47 lines
868 B
Python
47 lines
868 B
Python
import sys
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import numpy as np
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import pandas as pd
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import json
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import os
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import gc
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from get_data import get_data_homology,get_data_genome
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from process_data import create_data_homology_ls
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if not os.path.exists("processed"):
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os.mkdir("processed")
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arg=sys.argv
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arg=arg[1:]
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enable_break=0
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if arg[-1]=="-test":
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enable_break=1
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arg=arg[:-1]
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if len(arg)!=5:
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print("No. of arguments more or less. Please check")
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sys.exit(1)
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dir_g="data"
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ld,ldg,a,d=get_data_genome(arg,dir_g)
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dir_hom="data_homology"
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a_h,d_h=get_data_homology(arg,dir_hom)
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if arg[-1]=="-d":
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sys.exit(1)
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print("Data Read")
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n=3 #no. of numbers neighbors
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save_after=0 #to save data after n steps
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lsy=create_data_homology_ls(a_h,d_h,n,a,d,ld,ldg,save_after,enable_break,1)
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print(len(lsy))
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print("Neighbor Genes Updated Successfully")
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