changeset 0:7557b48b2872 draft

"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
author jay
date Wed, 28 Oct 2020 02:10:12 +0000
parents
children 9b5e990a0ebb
files PDAUG_AA_Property_Based_Peptide_Descriptor/PDAUG_AA_Property_Based_Peptide_Descriptor.py PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out1.tsv PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out2.tsv PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out3.tsv PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out4.tsv PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out5.tsv PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out5.tsvOLD PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out6.tsv PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/test.fasta PDAUG_AA_Property_Based_Peptide_Generation/PDAUG_AA_Property_Based_Peptide_Generation.py PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out1.fasta PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out2.fasta PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out3.fasta PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out4.fasta PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out5.fasta PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out6.fasta PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out7.fasta PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out8.fasta PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out9.fasta PDAUG_AddClassLabel/PDAUG_AddClassLabel.py PDAUG_AddClassLabel/test-data/new.tsv PDAUG_AddClassLabel/test-data/out.tsv PDAUG_Basic_Plots/PDAUG_Basic_Plots.py PDAUG_Basic_Plots/test-data/positive.fasta PDAUG_Basic_Plots/test-data/test1.tsv PDAUG_Basic_Plots/test-data/test1/report_dir/report.html PDAUG_Basic_Plots/test-data/test1/report_dir/report.html.re PDAUG_Basic_Plots/test-data/test2.tsv PDAUG_Basic_Plots/test-data/test2/report_dir/.re PDAUG_Basic_Plots/test-data/test2/report_dir/report.html PDAUG_Basic_Plots/test-data/test2/report_dir/report.html.re PDAUG_Basic_Plots/test-data/test3/report_dir/report.html PDAUG_Basic_Plots/test-data/test3/report_dir/report.html.re PDAUG_Basic_Plots/test-data/test4/report_dir/report.html.re PDAUG_Basic_Plots/test-data/test5/out.png PDAUG_Basic_Plots/test-data/test5/report_dir/Out.png PDAUG_Basic_Plots/test-data/test5/report_dir/report.html PDAUG_Fishers_Plot/PDAUG_Fishers_Plot.py PDAUG_Fishers_Plot/test-data/negative.fasta PDAUG_Fishers_Plot/test-data/out.png PDAUG_Fishers_Plot/test-data/positive.fasta PDAUG_ML_Models/PDAUG_ML_Models.py PDAUG_ML_Models/test-data/test.tsv PDAUG_ML_Models/test-data/test1/SVMC.tsv PDAUG_ML_Models/test-data/test1/report_dir/SVMC.html PDAUG_ML_Models/test-data/test1/report_dir/SVMC.tsv PDAUG_ML_Models/test-data/test2/.zip PDAUG_ML_Models/test-data/test2/GNBC.tsv PDAUG_ML_Models/test-data/test2/report_dir/GNBC.html PDAUG_ML_Models/test-data/test2/report_dir/GNBC.tsv PDAUG_ML_Models/test-data/test3/SGDC.tsv PDAUG_ML_Models/test-data/test3/report_dir/SGDC.html PDAUG_ML_Models/test-data/test4/DTC.tsv PDAUG_ML_Models/test-data/test4/report_dir/DTC.html PDAUG_ML_Models/test-data/test5/GBC.tsv PDAUG_ML_Models/test-data/test5/report_dir/GBC.html PDAUG_ML_Models/test-data/test6/RFC.tsv PDAUG_ML_Models/test-data/test6/report_dir/RFC.html PDAUG_ML_Models/test-data/test7/LRC.tsv PDAUG_ML_Models/test-data/test7/report_dir/LRC.html PDAUG_ML_Models/test-data/test8/KNC.tsv PDAUG_ML_Models/test-data/test8/report_dir/KNC.html PDAUG_ML_Models/test-data/test9/MLP.tsv PDAUG_ML_Models/test-data/test9/report_dir/MLP.html PDAUG_Merge_Dataframes/PDAUG_Merge_Dataframes.py PDAUG_Merge_Dataframes/test-data/.RData PDAUG_Merge_Dataframes/test-data/.Rhistory PDAUG_Merge_Dataframes/test-data/.ipynb_checkpoints/Blast_baseline_bacteriocin_paper-checkpoint.ipynb PDAUG_Merge_Dataframes/test-data/.ipynb_checkpoints/Untitled-checkpoint.ipynb PDAUG_Merge_Dataframes/test-data/.ipynb_checkpoints/Untitled1-checkpoint.ipynb PDAUG_Merge_Dataframes/test-data/1.tsv PDAUG_Merge_Dataframes/test-data/2.tsv PDAUG_Merge_Dataframes/test-data/3.tsv PDAUG_Merge_Dataframes/test-data/4.tsv PDAUG_Merge_Dataframes/test-data/5.tsv PDAUG_Merge_Dataframes/test-data/6.tsv PDAUG_Merge_Dataframes/test-data/out.tsv PDAUG_Peptide_CD_Spectral_Analysis/PDAUG_Peptide_CD_Spectral_Analysis.py PDAUG_Peptide_CD_Spectral_Analysis/test-data/Dichro1/0.csv PDAUG_Peptide_CD_Spectral_Analysis/test-data/Dichro1/1.csv PDAUG_Peptide_CD_Spectral_Analysis/test-data/Dichro2/0.csv PDAUG_Peptide_CD_Spectral_Analysis/test-data/Dichro2/1.csv PDAUG_Peptide_CD_Spectral_Analysis/test-data/Dichro3/0.csv PDAUG_Peptide_CD_Spectral_Analysis/test-data/Dichro3/1.csv PDAUG_Peptide_CD_Spectral_Analysis/test-data/Halicity.tsv PDAUG_Peptide_CD_Spectral_Analysis/test-data/PDF1/0.pdf PDAUG_Peptide_CD_Spectral_Analysis/test-data/PDF1/1.pdf PDAUG_Peptide_CD_Spectral_Analysis/test-data/PDF1/1_M.pdf PDAUG_Peptide_CD_Spectral_Analysis/test-data/PDF2/0.pdf PDAUG_Peptide_CD_Spectral_Analysis/test-data/PDF2/1.pdf PDAUG_Peptide_CD_Spectral_Analysis/test-data/PDF2/1_M.pdf PDAUG_Peptide_CD_Spectral_Analysis/test-data/PDF3/0.pdf PDAUG_Peptide_CD_Spectral_Analysis/test-data/PDF3/1.pdf PDAUG_Peptide_CD_Spectral_Analysis/test-data/PDF3/1_M.pdf PDAUG_Peptide_CD_Spectral_Analysis/test-data/Peptide1_T.csv PDAUG_Peptide_CD_Spectral_Analysis/test-data/Peptide2_W.csv PDAUG_Peptide_CD_Spectral_Analysis/test-data/calc_meanres_ellipticity.tsv PDAUG_Peptide_CD_Spectral_Analysis/test-data/calc_molar_ellipticity.tsv PDAUG_Peptide_CD_Spectral_Analysis/test-data/helicity.tsv PDAUG_Peptide_Core_Descriptors/PDAUG_Peptide_Core_Descriptors.py PDAUG_Peptide_Core_Descriptors/test-data/Out.tsv PDAUG_Peptide_Core_Descriptors/test-data/test.fasta PDAUG_Peptide_Core_Functions/PDAUG_Peptide_Core_Functions.py PDAUG_Peptide_Core_Functions/test-data/out1.fasta PDAUG_Peptide_Core_Functions/test-data/out2.fasta PDAUG_Peptide_Core_Functions/test-data/out3.fasta PDAUG_Peptide_Core_Functions/test-data/out4.fasta PDAUG_Peptide_Core_Functions/test-data/test1.fasta PDAUG_Peptide_Core_Functions/test-data/test2.fasta PDAUG_Peptide_Core_Functions/test-data/test3.fasta PDAUG_Peptide_Core_Functions/test-data/test4.fasta PDAUG_Peptide_Data_Access/PDAUG_Peptide_Data_Access.py PDAUG_Peptide_Data_Access/test-data/apd.tsv PDAUG_Peptide_Data_Access/test-data/camp.tsv PDAUG_Peptide_Data_Access/test-data/out.tsv PDAUG_Peptide_Data_Plotting/PDAUG_Peptide_Data_Plotting.py PDAUG_Peptide_Data_Plotting/test-data/out1.png PDAUG_Peptide_Data_Plotting/test-data/out2.png PDAUG_Peptide_Data_Plotting/test-data/out3.png PDAUG_Peptide_Data_Plotting/test-data/out4.png PDAUG_Peptide_Data_Plotting/test-data/test1.tsv PDAUG_Peptide_Data_Plotting/test-data/test2.fasta PDAUG_Peptide_Data_Plotting/test-data/test3.tsv PDAUG_Peptide_Data_Plotting/test-data/test4.fasta PDAUG_Peptide_Global_Descriptors/.tsv PDAUG_Peptide_Global_Descriptors/PDAUG_Peptide_Global_Descriptors.py PDAUG_Peptide_Global_Descriptors/test-data/out.tsv PDAUG_Peptide_Global_Descriptors/test-data/test.fasta PDAUG_Peptide_Length_Distribution/PDAUG_Peptide_Length_Distribution.py PDAUG_Peptide_Length_Distribution/test-data/out.png PDAUG_Peptide_Length_Distribution/test-data/positive.fasta PDAUG_Peptide_Ngrams/PDAUG_Peptide_Ngrams.py PDAUG_Peptide_Ngrams/PDAUG_Peptide_Ngrams.xml PDAUG_Peptide_Ngrams/test-data/out.png PDAUG_Peptide_Ngrams/test-data/test1.fasta PDAUG_Peptide_Ngrams/test-data/test2.fasta PDAUG_Peptide_Sequence_Analysis/PDAUG_Peptide_Sequence_Analysis.py PDAUG_Peptide_Sequence_Analysis/test-data/ACPs.fasta PDAUG_Peptide_Sequence_Analysis/test-data/non_ACPs.fasta PDAUG_Peptide_Sequence_Analysis/test-data/out1.tsv PDAUG_Peptide_Sequence_Analysis/test-data/test1.fasta PDAUG_Peptide_Sequence_Analysis/test-data/test1/out.tsv PDAUG_Peptide_Sequence_Analysis/test-data/test2.fasta PDAUG_Peptide_Sequence_Analysis/test-data/test2/out2.tsv PDAUG_Peptide_Sequence_Analysis/test-data/test3/out3.tsv PDAUG_Peptide_Sequence_Analysis/test-data/test4/report_dir/report.html.re PDAUG_Peptide_Sequence_Analysis/test-data/test5/out5.tsv PDAUG_Peptide_Sequence_Analysis/test-data/test6/out.tsv PDAUG_Peptide_Structure_Builder/PDAUG_Peptide_Structure_Builder.py PDAUG_Peptide_Structure_Builder/test-data/DataFile/GLF.pdb PDAUG_Peptide_Structure_Builder/test-data/test.fasta PDAUG_Sequence_Based_Peptide_Generation/PDAUG_Sequence_Based_Peptide_Generation.py PDAUG_Sequence_Based_Peptide_Generation/test-data/out1.fasta PDAUG_Sequence_Based_Peptide_Generation/test-data/out2.fasta PDAUG_Sequence_Based_Peptide_Generation/test-data/out3.fasta PDAUG_Sequence_Based_Peptide_Generation/test-data/test1.fasta PDAUG_Sequence_Network/PDAUG_Sequence_Network.py PDAUG_Sequence_Network/test-data/out.png PDAUG_Sequence_Network/test-data/positive.fasta PDAUG_Sequence_Property_Based_Descriptors/Out.tsv PDAUG_Sequence_Property_Based_Descriptors/PDAUG_Sequence_Property_Based_Descriptors.py PDAUG_Sequence_Property_Based_Descriptors/test-data/Out.tsv PDAUG_Sequence_Property_Based_Descriptors/test-data/Out1.tsv PDAUG_Sequence_Property_Based_Descriptors/test-data/positive.fasta PDAUG_TSVtoFASTA/PDAUG_TSVtoFASTA.py PDAUG_TSVtoFASTA/test-data/test1.tsv PDAUG_TSVtoFASTA/test-data/test1/Negative.fasta PDAUG_TSVtoFASTA/test-data/test1/Positive.fasta PDAUG_TSVtoFASTA/test-data/test2.tsv PDAUG_TSVtoFASTA/test-data/test2/Out.fasta PDAUG_Uversky_Plot/PDAUG_Uversky_Plot.py PDAUG_Uversky_Plot/test-data/out.png PDAUG_Uversky_Plot/test-data/test1.fasta PDAUG_Uversky_Plot/test-data/test2.fasta PDAUG_Word_Vector_Descriptor/PDAUG_Word_Vector_Descriptor.py PDAUG_Word_Vector_Descriptor/test-data/Out.tsv PDAUG_Word_Vector_Descriptor/test-data/model.txt PDAUG_Word_Vector_Descriptor/test-data/test.fasta PDAUG_Word_Vector_Model/PDAUG_Word_Vector_Model.py PDAUG_Word_Vector_Model/test-data/model.txt PDAUG_Word_Vector_Model/test-data/test.fasta license.txt readme.txt
diffstat 181 files changed, 20854 insertions(+), 0 deletions(-) [+]
line wrap: on
line diff
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Descriptor/PDAUG_AA_Property_Based_Peptide_Descriptor.py	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,154 @@
+from modlamp.descriptors import *
+import pandas as pd
+import os
+
+
+
+def PepFasta(InFile):
+    file = open(InFile)
+    lines = file.readlines()
+
+    Index = []
+    Peptides = []
+
+    for line in lines:
+        if '>' in line:
+            Index.append(line.strip('\n'))
+        else:
+            Peptides.append(line.strip('\n'))
+    
+    return Peptides, Index
+
+
+def AutoCorrCal(InFile, window, ScaleName, OutFile):
+
+    list_pep_name,_ = PepFasta(InFile)
+
+    AMP = PeptideDescriptor(list_pep_name, ScaleName)
+    AMP.calculate_autocorr(int(window))
+    df = AMP.descriptor
+
+    columns = ["CroAut_"+str(i) for i in range(len(df[0]))]
+    df = pd.DataFrame(df, columns=columns)
+    df.to_csv(OutFile, index=False,sep='\t')
+
+def CrossCorrCal(InFile, window, ScaleName, OutFile):
+
+    list_pep_name,_ = PepFasta(InFile)
+
+    AMP = PeptideDescriptor(list_pep_name, ScaleName)
+    AMP.calculate_crosscorr(int(window))
+    df = AMP.descriptor
+
+    columns = ["CroCor_"+str(i) for i in range(len(df[0]))]
+    df = pd.DataFrame(df, columns=columns)
+    df.to_csv(OutFile, index=False,sep='\t')
+
+def CalculateMovementCal(InFile, window, angle, modality, ScaleName, OutFile):
+
+
+    list_pep_name,_ = PepFasta(InFile)
+
+    AMP = PeptideDescriptor(list_pep_name, ScaleName)
+    AMP.calculate_moment(int(window), int(angle), modality)
+    df = AMP.descriptor
+
+    df = pd.DataFrame(df, columns=['Movement'])
+    df.to_csv(OutFile, index=False,sep='\t')
+
+def CalculateGlobalCal(InFile, WindowSize, modality, ScaleName, OutFile):
+
+    list_pep_name,_ = PepFasta(InFile)
+
+    AMP = PeptideDescriptor(list_pep_name, ScaleName)
+    AMP.calculate_global(int(WindowSize), modality)
+    df = AMP.descriptor
+
+    df = pd.DataFrame(df, columns=['Global'])
+    df.to_csv(OutFile, index=False, sep='\t')
+
+def CalculateProfileCal(InFile, prof_type, WindowSize, ScaleName, OutFile):
+
+    list_pep_name,_ = PepFasta(InFile)
+
+    AMP = PeptideDescriptor(list_pep_name, ScaleName)
+    AMP.calculate_profile(prof_type, int(WindowSize))
+    df = AMP.descriptor
+
+    df = pd.DataFrame(df, columns=['hyPhoPro','hyPhoMov'])
+    df.to_csv(OutFile, index=False, sep='\t')
+
+def CalculateArcCal(InFile, modality, OutFile): 
+
+    list_pep_name,_ = PepFasta(InFile)
+
+    AMP = PeptideDescriptor(list_pep_name, scalename="peparc")
+    AMP.calculate_arc(modality)
+    df =  AMP.descriptor
+
+    columns = ["Arc_"+str(i) for i in range(len(df[0]))]
+    df = pd.DataFrame(df, columns=columns)
+    df.to_csv(OutFile, index=False, sep='\t')
+
+if __name__=="__main__":
+
+    import argparse
+
+    parser = argparse.ArgumentParser(description='Deployment tool')
+    subparsers = parser.add_subparsers()
+
+    Aut = subparsers.add_parser('AutoCorrCal')
+    Aut.add_argument("-i","--InFile", required=True, default=None, help="")
+    Aut.add_argument("-w","--WindowSize", required=False, default=7, help="")
+    Aut.add_argument("-s","--ScaleName", required=False, default="Eisenberg", help="")
+    Aut.add_argument("-o","--OutFile", required=False, default="Descriptor.tsv", help="")
+
+    Cro = subparsers.add_parser('CrossCorrCal')
+    Cro.add_argument("-i","--InFile", required=True, default=None, help="")
+    Cro.add_argument("-w","--WindowSize", required=False, default=7, help="")
+    Cro.add_argument("-s","--ScaleName", required=False, default="Eisenberg", help="")
+    Cro.add_argument("-o","--OutFile", required=False, default="Descriptor.tsv", help="")
+
+    Mov = subparsers.add_parser('CalculateMovement')
+    Mov.add_argument("-i","--InFile", required=True, default=None, help="")
+    Mov.add_argument("-w","--WindowSize", required=False, default=1000, help="")
+    Mov.add_argument("-a","--Angle", required=False, default=100, help="")
+    Mov.add_argument("-m","--Modality", required=False, default="max", help="")
+    Mov.add_argument("-s","--ScaleName", required=False, default="Eisenberg", help="")
+    Mov.add_argument("-o","--OutFile", required=False, default="Descriptor.tsv", help="")
+
+    Glo = subparsers.add_parser('GlobalCal')
+    Glo.add_argument("-i","--InFile", required="", default="", help="")
+    Glo.add_argument("-w","--WindowSize", required=False, default=1000, help="")
+    Glo.add_argument("-m","--Modality", required=False, default="max", help="")
+    Glo.add_argument("-s","--ScaleName", required=False, default="Eisenberg", help="")
+    Glo.add_argument("-o","--OutFile", required=False, default="Descriptor.tsv", help="")
+
+    Pro = subparsers.add_parser('ProfileCal')
+    Pro.add_argument("-i","--InFile", required=True, default=None, help="")
+    Pro.add_argument("-p","--ProfType", required=False, default="text", help="")
+    Pro.add_argument("-w","--WindowSize", required=False, default=7, help="")
+    Pro.add_argument("-s","--ScaleName", required=False, default="Eisenberg", help="")
+    Pro.add_argument("-o","--OutFile", required=False, default="Descriptor.tsv", help="")
+
+    Arc = subparsers.add_parser('ArcCal')
+    Arc.add_argument("-i","--InFile", required=True, default=None, help="")
+    Arc.add_argument("-m","--Modality", required=False, default="max", help="")
+    Arc.add_argument("-o","--OutFile", required=False, default="Descriptor.tsv", help="")
+
+    args = parser.parse_args()
+
+    if sys.argv[1] == 'AutoCorrCal':
+        AutoCorrCal(args.InFile, args.WindowSize, args.ScaleName, args.OutFile)
+    elif sys.argv[1] == 'CrossCorrCal':
+        CrossCorrCal(args.InFile, args.WindowSize, args.ScaleName, args.OutFile)
+    elif sys.argv[1] == 'CalculateMovement':
+        CalculateMovementCal(args.InFile, args.WindowSize, args.Angle, args.Modality, args.ScaleName, args.OutFile)
+    elif sys.argv[1] == 'GlobalCal':
+        CalculateGlobalCal(args.InFile, args.WindowSize, args.Modality, args.ScaleName, args.OutFile)
+    elif sys.argv[1] == 'ProfileCal':
+         CalculateProfileCal(args.InFile, args.ProfType, args.WindowSize, args.ScaleName, args.OutFile)
+    elif sys.argv[1] == 'ArcCal':
+        CalculateArcCal(args.InFile, args.Modality, args.OutFile)
+    else:
+        print ("You entered Wrong Values: ")
\ No newline at end of file
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out1.tsv	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,139 @@
+CroAut_0	CroAut_1	CroAut_2	CroAut_3	CroAut_4	CroAut_5	CroAut_6
+0.8795060606060603	-0.08449999999999992	-0.288858064516129	0.042053333333333304	0.4602827586206896	-0.2472071428571427	-0.22341481481481473
+1.3072923076923075	-0.01596666666666663	-0.8552363636363634	0.47940000000000016	0.881111111111111	-0.7545	-0.6622857142857143
+1.067375	0.20328000000000002	-0.32617142857142867	0.2960615384615385	0.4271333333333334	-0.3241818181818182	-0.23039999999999994
+1.067375	0.19728	-0.3148857142857143	0.2876000000000001	0.4054666666666668	-0.3241818181818182	-0.20439999999999997
+1.0655062499999999	0.21097333333333335	-0.3281428571428571	0.24281538461538468	0.46703333333333347	-0.15281818181818183	-0.22649999999999998
+1.161125	0.31423999999999996	-0.18057142857142863	0.28510769230769234	0.3564666666666667	-0.43916363636363637	-0.24339999999999998
+1.0977882352941173	0.04930000000000001	-0.29490666666666676	0.18554285714285718	0.658523076923077	-0.31389999999999996	-0.2557818181818183
+1.134705882352941	0.06775000000000002	-0.4366666666666667	0.26885714285714285	0.657046153846154	-0.292	-0.4052363636363637
+1.127741237113402	-0.15122916666666672	-0.0018694736842105749	0.0048787234042553295	0.05763333333333333	-0.0038999999999999833	-0.10195934065934066
+0.3820692307692308	-0.058033333333333326	-0.005454545454545459	-0.07862	0.06544444444444447	-0.160275	-0.029714285714285717
+1.9568399999999997	-0.02258750000000002	0.01406521739130443	-0.018986363636363655	-0.2288714285714286	0.32322500000000004	-0.2184315789473683
+1.510758823529412	-0.49684999999999996	-0.3543333333333333	0.448	-0.4066923076923077	-0.6197499999999999	1.071090909090909
+0.9799269230769231	-0.057536000000000004	-0.4542375	0.18243478260869567	0.26691818181818183	-0.24609523809523814	-0.24361999999999995
+0.8490037037037036	-0.050115384615384624	-0.29912000000000005	-0.14101666666666665	0.46063478260869567	-0.09202727272727276	-0.06578095238095243
+0.8335037037037037	-0.08829230769230773	-0.29777600000000004	-0.02001666666666664	0.43342608695652174	-0.08835454545454548	-0.11131428571428577
+0.8942370370370369	0.07759999999999997	-0.16295999999999997	0.05993333333333334	0.5157391304347826	0.10098181818181819	-0.2394095238095238
+0.9382333333333334	-0.10223076923076922	-0.30632000000000004	-0.08289583333333332	0.5684521739130435	-0.060363636363636355	-0.09812380952380947
+0.9000624999999999	0.1752869565217392	0.16538181818181824	0.20942380952380965	0.69231	0.21120000000000005	0.0031388888888888846
+1.5424153846153847	-0.19912499999999997	-0.8375272727272729	0.082	1.2625111111111111	-0.21862499999999999	-0.8468857142857142
+1.4676028571428577	-0.17619999999999994	-0.41339393939393926	0.46677500000000005	0.21711612903225813	-0.3798333333333335	0.1072551724137932
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out2.tsv	Wed Oct 28 02:10:12 2020 +0000
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out3.tsv	Wed Oct 28 02:10:12 2020 +0000
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out4.tsv	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,139 @@
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out5.tsv	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,139 @@
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out5.tsvOLD	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,139 @@
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+-0.014302296975120272	0.269990271120962
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/out6.tsv	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,139 @@
+Arc_0	Arc_1	Arc_2	Arc_3	Arc_4
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Descriptor/test-data/test.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,276 @@
+>ACP0
+GLWSKIKEVGKEAAKAAAKAAGKAALGAVSEAV
+>ACP2
+GLFDIIKKIAESI
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+>ACP188
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+GACFSIAHECGA
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+>ACP242
+KRFKQDGGASHASPASS
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+KRAKAAGGWSHWSPWSSC
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+>ACP270
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+>ACP272
+GRENYHGCTTHWGFTLC
+>ACP274
+ASSSYPLIHWRPWAR
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Generation/PDAUG_AA_Property_Based_Peptide_Generation.py	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,216 @@
+from modlamp.sequences import *
+import argparse, sys
+import pandas as pd 
+import os
+
+def Random_seq(seq_num, lenmin_s, lenmax_s, S_proba, OutFasta):
+
+    b = Random(int(seq_num), int(lenmin_s),int(lenmax_s))
+    b.generate_sequences(proba=float(S_proba))
+
+    OutPep = b.sequences
+    OutFasta = open(OutFasta, 'w')
+
+    for i,O in enumerate(OutPep):
+        OutFasta.write(">sequence_"+str(i)+'\n')
+        OutFasta.write(O+'\n')
+
+def Helices_seq(seq_num, lenmin_s, lenmax_s, OutFasta):
+
+    h = Helices(int(seq_num), int(lenmin_s),int(lenmax_s))
+    h.generate_sequences()
+
+    OutPep = h.sequences
+    OutFasta = open(OutFasta, 'w')
+
+    for i,O in enumerate(OutPep):
+        OutFasta.write(">sequence_"+str(i)+'\n')
+        OutFasta.write(O+'\n')
+
+ 
+def Kinked_seq(seq_num, lenmin_s, lenmax_s, OutFasta):
+
+    k = Kinked(int(seq_num), int(lenmin_s),int(lenmax_s))
+    k.generate_sequences()
+
+    OutPep = k.sequences
+    OutFasta = open(OutFasta, 'w')
+
+    for i,O in enumerate(OutPep):
+        OutFasta.write(">sequence_"+str(i)+'\n')
+        OutFasta.write(O+'\n')
+
+
+def Oblique_seq(seq_num, lenmin_s, lenmax_s, OutFasta):
+
+    o = Oblique(int(seq_num), int(lenmin_s),int(lenmax_s))
+    o.generate_sequences()
+    o.sequences
+
+    OutPep = o.sequences
+    OutFasta = open(OutFasta, 'w')
+
+    for i,O in enumerate(OutPep):
+        OutFasta.write(">sequence_"+str(i)+'\n')
+        OutFasta.write(O+'\n')
+
+
+def Centrosymmetric_seq(seq_num, lenmin_s, lenmax_s, symmetry_s, OutFasta):
+
+    s = Centrosymmetric(int(seq_num), int(lenmin_s),int(lenmax_s))
+    s.generate_sequences(symmetry=symmetry_s)
+
+    OutPep = s.sequences
+    OutFasta = open(OutFasta, 'w')
+
+    for i,O in enumerate(OutPep):
+        OutFasta.write(">sequence_"+str(i)+'\n')
+        OutFasta.write(O+'\n')
+
+
+def HelicesACP_seq(seq_num, lenmin_s, lenmax_s, OutFasta):
+
+    helACP = HelicesACP(int(seq_num), int(lenmin_s),int(lenmax_s))
+    helACP.generate_sequences()
+
+    OutPep = helACP.sequences
+    OutFasta = open(OutFasta, 'w')
+
+    for i,O in enumerate(OutPep):
+        OutFasta.write(">sequence_"+str(i)+'\n')
+        OutFasta.write(O+'\n')
+
+
+def Hepahelices_seq(seq_num, lenmin_s, lenmax_s, OutFasta):
+
+    h = Hepahelices(int(seq_num), int(lenmin_s),int(lenmax_s))  
+    h.generate_sequences()
+
+    OutPep = h.sequences
+    OutFasta = open(OutFasta, 'w')
+
+    for i,O in enumerate(OutPep):
+        OutFasta.write(">sequence_"+str(i)+'\n')
+        OutFasta.write(O+'\n')
+
+
+def AMPngrams_seq(seq_num, lenmin_s, lenmax_s, OutFasta):
+
+    s = AMPngrams(int(seq_num), int(lenmin_s),int(lenmax_s))
+    s.generate_sequences()
+
+    OutPep = s.sequences
+    OutFasta = open(OutFasta, 'w')
+
+    for i,O in enumerate(OutPep):
+        OutFasta.write(">sequence_"+str(i)+'\n')
+        OutFasta.write(O+'\n')
+
+def AmphipathicArc_seq(seq_num, lenmin_s, lenmax_s, gen_seq, hyd_gra, OutFasta):
+
+    amphi_hel = AmphipathicArc(int(seq_num), int(lenmin_s),int(lenmax_s))
+    amphi_hel.generate_sequences(int(gen_seq))
+    OutFasta = open(OutFasta, 'w')
+
+    if hyd_gra == 'true':
+
+        amphi_hel.make_H_gradient()
+        OutPep = amphi_hel.sequences
+                
+        for i,O in enumerate(OutPep):
+            OutFasta.write(">sequence_"+str(i)+'\n')
+            OutFasta.write(O+'\n')
+
+    elif hyd_gra == 'false':
+
+        OutPep = amphi_hel.sequences
+        
+        for i,O in enumerate(OutPep):
+            OutFasta.write(">sequence_"+str(i)+'\n')
+            OutFasta.write(O+'\n')
+
+if __name__=='__main__':
+
+    parser = argparse.ArgumentParser(description='Deployment tool')
+    subparsers = parser.add_subparsers()
+
+    Ran = subparsers.add_parser('Random')
+    Ran.add_argument("-s","--seq_num", required=True, default=None, help="number of sequences to be generated")
+    Ran.add_argument("-m","--lenmin_s", required=False, default=7, help="")
+    Ran.add_argument("-M","--lenmax_s", required=False, default=20, help="Len max")
+    Ran.add_argument("-p","--S_proba", required=False, default='AMP', help="AA probability to be used to generate sequences,'rand', 'AMP', 'AMPnoCM', 'randnoCM', 'ACP'")
+    Ran.add_argument("-O", "--OutFasta", required=True, default=None, help="Output Fasta")
+
+    Hal = subparsers.add_parser('Helices')
+    Hal.add_argument("-s","--seq_num", required=True, default=None, help="number of sequences to be generated")
+    Hal.add_argument("-m","--lenmin_s", required=False, default=7, help="")
+    Hal.add_argument("-M","--lenmax_s", required=False, default=20, help="Len max")
+    Hal.add_argument("-O", "--OutFasta", required=True, default=None, help="Output Fasta")
+
+    Kin = subparsers.add_parser('Kinked')
+    Kin.add_argument("-s","--seq_num", required=True, default=None, help="number of sequences to be generated")
+    Kin.add_argument("-m","--lenmin_s", required=False, default=7, help="")
+    Kin.add_argument("-M","--lenmax_s", required=False, default=20, help="Len max")
+    Kin.add_argument("-O", "--OutFasta", required=True, default=None, help="Output Fasta") 
+
+    Obl = subparsers.add_parser('Oblique')
+    Obl.add_argument("-s","--seq_num", required=True, default=None, help="number of sequences to be generated")
+    Obl.add_argument("-m","--lenmin_s", required=False, default=7, help="")
+    Obl.add_argument("-M","--lenmax_s", required=False, default=20, help="Len max")
+    Obl.add_argument("-O", "--OutFasta", required=True, default=None, help="Output Fasta")
+
+    Cen = subparsers.add_parser('Centrosymmetric')
+    Cen.add_argument("-s","--seq_num", required=True, default=None, help="number of sequences to be generated")
+    Cen.add_argument("-m","--lenmin_s", required=False, default=7, help="")
+    Cen.add_argument("-M","--lenmax_s", required=False, default=20, help="Len max")
+    Cen.add_argument("-S","--symmetry_s", required=False, default="asymmetric", help="symmetric,asymmetric")
+    Cen.add_argument("-O", "--OutFasta", required=True, default=None, help="Output Fasta")
+
+    Hel = subparsers.add_parser('HelicesACP')
+    Hel.add_argument("-s","--seq_num", required=True, default=None, help="number of sequences to be generated")
+    Hel.add_argument("-m","--lenmin_s", required=False, default=7, help="")
+    Hel.add_argument("-M","--lenmax_s", required=False, default=20, help="Len max")
+    Hel.add_argument("-O", "--OutFasta", required=True, default=None, help="Output Fasta")
+
+    Hep = subparsers.add_parser('Hepahelices')
+    Hep.add_argument("-s","--seq_num", required=True, default=None, help="number of sequences to be generated")
+    Hep.add_argument("-m","--lenmin_s", required=False, default=7, help="")
+    Hep.add_argument("-M","--lenmax_s", required=False, default=20, help="Len max")
+    Hep.add_argument("-O", "--OutFasta", required=True, default=None, help="Output Fasta")
+
+    AMP = subparsers.add_parser('AMPngrams')
+    AMP.add_argument("-s","--seq_num", required=True, default=None, help="number of sequences to be generated")
+    AMP.add_argument("-m","--n_min", required=False, default=3, help="minimum number of ngrams to take for sequence assembly")
+    AMP.add_argument("-M","--n_max", required=False, default=1, help="maximum number of ngrams to take for sequence assembly")
+    AMP.add_argument("-O", "--OutFasta", required=True, default=None, help="Output Fasta")
+    
+    Arc = subparsers.add_parser('AmphipathicArc')
+    Arc.add_argument("-s","--seq_num", required=True, default=None, help="number of sequences to be generated")
+    Arc.add_argument("-m","--lenmin_s", required=False, default=7, help="")
+    Arc.add_argument("-M","--lenmax_s", required=False, default=20, help="Len max")
+    Arc.add_argument("-a","--arcsize", help="Choose among 100, 140, 180, 220, 260, or choose mixed to generate a mixture")
+    Arc.add_argument("-y","--hyd_gra", default='False', help="Method to mutate the generated sequences to have a hydrophobic gradient by substituting the last third of the sequence amino acids to hydrophobic.")
+    Arc.add_argument("-O", "--OutFasta", required=True, default=None, help="Output Fasta")
+
+    args = parser.parse_args()
+
+    if sys.argv[1] == 'Random':
+        Random_seq(args.seq_num, args.lenmin_s, args.lenmax_s, args.S_proba, args.OutFasta)
+    elif sys.argv[1] == 'Helices':
+        Helices_seq(args.seq_num, args.lenmin_s, args.lenmax_s, args.OutFasta)
+    elif sys.argv[1] == 'Kinked':
+        Kinked_seq(args.seq_num, args.lenmin_s, args.lenmax_s, args.OutFasta)
+    elif sys.argv[1] == 'Oblique':
+        Oblique_seq(args.seq_num, args.lenmin_s, args.lenmax_s, args.OutFasta)
+    elif sys.argv[1] == 'Centrosymmetric':
+        Centrosymmetric_seq(args.seq_num, args.lenmin_s, args.lenmax_s, args.symmetry_s, args.OutFasta)
+    elif sys.argv[1] == 'HelicesACP':
+        HelicesACP_seq(args.seq_num, args.lenmin_s, args.lenmax_s, args.OutFasta)
+    elif sys.argv[1] == 'Hepahelices':
+        Hepahelices_seq(args.seq_num, args.lenmin_s, args.lenmax_s, args.OutFasta)
+    elif sys.argv[1] == 'AMPngrams':
+        AMPngrams_seq(args.seq_num, args.n_min, args.n_max, args.OutFasta)
+    elif sys.argv[1] == 'AmphipathicArc':
+        AmphipathicArc_seq(int(args.seq_num), int(args.lenmin_s), int(args.lenmax_s), int(args.arcsize), args.hyd_gra, args.OutFasta)
+    else:
+        print("You entered Wrong Values: ")
\ No newline at end of file
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out1.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,6 @@
+sequence_0
+HVLNSPPTMWRCCMDVYCY
+sequence_1
+MYHLHEHQKNQKHPKF
+sequence_2
+AEAFADKGELKRNQ
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out2.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,10 @@
+sequence_0
+AGGKAGKLALKGGRLLAKI
+sequence_1
+IIAKGIRGALK
+sequence_2
+LVKAGRIL
+sequence_3
+AVKGVKIGAKAI
+sequence_4
+VGVKIVRIAVRLARA
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out3.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,10 @@
+sequence_0
+AIRGGPG
+sequence_1
+KGVKVAIRILPLVVRLGRGGA
+sequence_2
+KAIPGAVKG
+sequence_3
+IGRGIPI
+sequence_4
+AIARIAPLIAK
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out4.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,10 @@
+sequence_0
+GRGAKVVI
+sequence_1
+ALRVLKAAGRLARLAVI
+sequence_2
+LIRVGKLAVRALLAIA
+sequence_3
+ALIRVLRVAAKIAI
+sequence_4
+VIIKGGKLLVRGARAAIVV
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out5.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,10 @@
+sequence_0
+VKIWIKVARVYVRAIKLYLKI
+sequence_1
+VKIWIKVAKVWVKAGRVFVRG
+sequence_2
+LRVWVRLVRAWARV
+sequence_3
+LRGFGRLVRAFARV
+sequence_4
+GRAWARGLKVYVKL
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out6.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,10 @@
+sequence_0
+FIGDIAKKAAAVAGKLWC
+sequence_1
+GLFDVIKKIAKVLPASFVGL
+sequence_2
+VLPQIIGVAAGHMVKIIL
+sequence_3
+GLFKIALFVAKHVASTAAGLP
+sequence_4
+GLPSTILG
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out7.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,10 @@
+sequence_0
+TARKKITRAL
+sequence_1
+GAKLIKTAKKKLSRALR
+sequence_2
+GRGLRTIKKKIQRIVK
+sequence_3
+AKIAKSAKKRANKLGRSGAK
+sequence_4
+IGRILKAARKRLTRVIR
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out8.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,10 @@
+sequence_0
+PRP
+sequence_1
+KAAGESC
+sequence_2
+GKAAGGLG
+sequence_3
+GGYYGGG
+sequence_4
+CGEIG
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AA_Property_Based_Peptide_Generation/test-data/Out9.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,10 @@
+sequence_0
+KVIRPIK
+sequence_1
+ALFRKLKRWVRSY
+sequence_2
+RWYKGYA
+sequence_3
+RLLQDVTAFLEHWWK
+sequence_4
+NLIKAFDK
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AddClassLabel/PDAUG_AddClassLabel.py	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,17 @@
+import pandas as pd 
+import argparse
+
+parser = argparse.ArgumentParser()
+
+parser.add_argument("-I", "--InFile", required=True, default=None, help="Input data file")
+parser.add_argument("-C", "--ClassLabel", required=False, default=0, help="Class Label 0 or 1")
+parser.add_argument("-t", "--ClassLabelTitle", required=False, default='Class_label', help="Title to use for class label column (Class_label)")
+parser.add_argument("-O", "--OutFile", required=False, default='OutFile.tsv', help="Output file name")
+
+args = parser.parse_args()
+
+df1 = pd.read_csv(args.InFile, sep="\t")
+df2 = pd.DataFrame([args.ClassLabel]*df1.shape[0], columns=[args.ClassLabelTitle])
+
+df = pd.concat([df1, df2], axis=1)
+df.to_csv(args.OutFile, sep="\t", index=False)
\ No newline at end of file
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AddClassLabel/test-data/new.tsv	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,13 @@
+_ChargeC1	_ChargeC2	_ChargeC3	_ChargeD1001	_ChargeD1025	_ChargeD1050	_ChargeD1075	_ChargeD1100	_ChargeD2001	_ChargeD2025	_ChargeD2050	_ChargeD2075	_ChargeD2100	_ChargeD3001	_ChargeD3025	_ChargeD3050	_ChargeD3075	_ChargeD3100	_ChargeT12	_ChargeT13	_ChargeT23	_HydrophobicityC1	_HydrophobicityC2	_HydrophobicityC3	_HydrophobicityD1001	_HydrophobicityD1025	_HydrophobicityD1050	_HydrophobicityD1075	_HydrophobicityD1100	_HydrophobicityD2001	_HydrophobicityD2025	_HydrophobicityD2050	_HydrophobicityD2075	_HydrophobicityD2100	_HydrophobicityD3001	_HydrophobicityD3025	_HydrophobicityD3050	_HydrophobicityD3075	_HydrophobicityD3100	_HydrophobicityT12	_HydrophobicityT13	_HydrophobicityT23	_NormalizedVDWVC1	_NormalizedVDWVC2	_NormalizedVDWVC3	_NormalizedVDWVD1001	_NormalizedVDWVD1025	_NormalizedVDWVD1050	_NormalizedVDWVD1075	_NormalizedVDWVD1100	_NormalizedVDWVD2001	_NormalizedVDWVD2025	_NormalizedVDWVD2050	_NormalizedVDWVD2075	_NormalizedVDWVD2100	_NormalizedVDWVD3001	_NormalizedVDWVD3025	_NormalizedVDWVD3050	_NormalizedVDWVD3075	_NormalizedVDWVD3100	_NormalizedVDWVT12	_NormalizedVDWVT13	_NormalizedVDWVT23	_PolarityC1	_PolarityC2	_PolarityC3	_PolarityD1001	_PolarityD1025	_PolarityD1050	_PolarityD1075	_PolarityD1100	_PolarityD2001	_PolarityD2025	_PolarityD2050	_PolarityD2075	_PolarityD2100	_PolarityD3001	_PolarityD3025	_PolarityD3050	_PolarityD3075	_PolarityD3100	_PolarityT12	_PolarityT13	_PolarityT23	_PolarizabilityC1	_PolarizabilityC2	_PolarizabilityC3	_PolarizabilityD1001	_PolarizabilityD1025	_PolarizabilityD1050	_PolarizabilityD1075	_PolarizabilityD1100	_PolarizabilityD2001	_PolarizabilityD2025	_PolarizabilityD2050	_PolarizabilityD2075	_PolarizabilityD2100	_PolarizabilityD3001	_PolarizabilityD3025	_PolarizabilityD3050	_PolarizabilityD3075	_PolarizabilityD3100	_PolarizabilityT12	_PolarizabilityT13	_PolarizabilityT23	_SecondaryStrC1	_SecondaryStrC2	_SecondaryStrC3	_SecondaryStrD1001	_SecondaryStrD1025	_SecondaryStrD1050	_SecondaryStrD1075	_SecondaryStrD1100	_SecondaryStrD2001	_SecondaryStrD2025	_SecondaryStrD2050	_SecondaryStrD2075	_SecondaryStrD2100	_SecondaryStrD3001	_SecondaryStrD3025	_SecondaryStrD3050	_SecondaryStrD3075	_SecondaryStrD3100	_SecondaryStrT12	_SecondaryStrT13	_SecondaryStrT23	_SolventAccessibilityC1	_SolventAccessibilityC2	_SolventAccessibilityC3	_SolventAccessibilityD1001	_SolventAccessibilityD1025	_SolventAccessibilityD1050	_SolventAccessibilityD1075	_SolventAccessibilityD1100	_SolventAccessibilityD2001	_SolventAccessibilityD2025	_SolventAccessibilityD2050	_SolventAccessibilityD2075	_SolventAccessibilityD2100	_SolventAccessibilityD3001	_SolventAccessibilityD3025	_SolventAccessibilityD3050	_SolventAccessibilityD3075	_SolventAccessibilityD3100	_SolventAccessibilityT12	_SolventAccessibilityT13	_SolventAccessibilityT23
+0.143	0.786	0.071	50.0	57.143	50.0	50.0	57.143	7.143	14.286	42.857	78.571	100.0	28.571	28.571	28.571	28.571	28.571	0.154	0.0	0.154	0.214	0.286	0.5	28.571	57.143	28.571	50.0	57.143	7.143	7.143	78.571	85.714	100.0	14.286	14.286	35.714	64.286	92.857	0.0	0.308	0.308	0.357	0.429	0.214	7.143	7.143	28.571	78.571	100.0	14.286	14.286	42.857	64.286	92.857	21.429	57.143	21.429	50.0	57.143	0.385	0.077	0.231	0.5	0.0	0.143	14.286	14.286	35.714	64.286	92.857	0	0	0	0	0	50.0	57.143	50.0	50.0	57.143	0.0	0.154	0.0	0.357	0.429	0.214	7.143	7.143	28.571	78.571	100.0	14.286	14.286	42.857	64.286	92.857	21.429	57.143	21.429	50.0	57.143	0.385	0.077	0.231	0.357	0.357	0.286	14.286	14.286	50.0	57.143	92.857	21.429	21.429	35.714	42.857	71.429	7.143	7.143	28.571	78.571	100.0	0.231	0.231	0.231	0.786	0.214	0.0	7.143	14.286	42.857	78.571	100.0	28.571	57.143	28.571	50.0	57.143	0	0	0	0	0	0.308	0.0	0.0
+0.5	0.5	0.0	8.333	8.333	58.333	66.667	100.0	16.667	16.667	41.667	50.0	91.667	0.0	0.0	0.0	0.0	0.0	0.545	0.0	0.0	0.5	0.0	0.5	8.333	8.333	58.333	66.667	100.0	0.0	0.0	0.0	0.0	0.0	16.667	16.667	41.667	50.0	91.667	0.0	0.545	0.0	0.0	0.5	0.5	0.0	0.0	0.0	0.0	0.0	16.667	16.667	41.667	50.0	91.667	8.333	8.333	58.333	66.667	100.0	0.0	0.0	0.545	0.5	0.0	0.5	16.667	16.667	41.667	50.0	91.667	0	0	0	0	0	8.333	8.333	58.333	66.667	100.0	0.0	0.545	0.0	0.0	0.5	0.5	0.0	0.0	0.0	0.0	0.0	16.667	16.667	41.667	50.0	91.667	8.333	8.333	58.333	66.667	100.0	0.0	0.0	0.545	1.0	0.0	0.0	8.333	25.0	50.0	75.0	100.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5	0.5	0.0	16.667	16.667	41.667	50.0	91.667	8.333	8.333	58.333	66.667	100.0	0	0	0	0	0	0.545	0.0	0.0
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_AddClassLabel/test-data/out.tsv	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,13 @@
+_ChargeC1	_ChargeC2	_ChargeC3	_ChargeD1001	_ChargeD1025	_ChargeD1050	_ChargeD1075	_ChargeD1100	_ChargeD2001	_ChargeD2025	_ChargeD2050	_ChargeD2075	_ChargeD2100	_ChargeD3001	_ChargeD3025	_ChargeD3050	_ChargeD3075	_ChargeD3100	_ChargeT12	_ChargeT13	_ChargeT23	_HydrophobicityC1	_HydrophobicityC2	_HydrophobicityC3	_HydrophobicityD1001	_HydrophobicityD1025	_HydrophobicityD1050	_HydrophobicityD1075	_HydrophobicityD1100	_HydrophobicityD2001	_HydrophobicityD2025	_HydrophobicityD2050	_HydrophobicityD2075	_HydrophobicityD2100	_HydrophobicityD3001	_HydrophobicityD3025	_HydrophobicityD3050	_HydrophobicityD3075	_HydrophobicityD3100	_HydrophobicityT12	_HydrophobicityT13	_HydrophobicityT23	_NormalizedVDWVC1	_NormalizedVDWVC2	_NormalizedVDWVC3	_NormalizedVDWVD1001	_NormalizedVDWVD1025	_NormalizedVDWVD1050	_NormalizedVDWVD1075	_NormalizedVDWVD1100	_NormalizedVDWVD2001	_NormalizedVDWVD2025	_NormalizedVDWVD2050	_NormalizedVDWVD2075	_NormalizedVDWVD2100	_NormalizedVDWVD3001	_NormalizedVDWVD3025	_NormalizedVDWVD3050	_NormalizedVDWVD3075	_NormalizedVDWVD3100	_NormalizedVDWVT12	_NormalizedVDWVT13	_NormalizedVDWVT23	_PolarityC1	_PolarityC2	_PolarityC3	_PolarityD1001	_PolarityD1025	_PolarityD1050	_PolarityD1075	_PolarityD1100	_PolarityD2001	_PolarityD2025	_PolarityD2050	_PolarityD2075	_PolarityD2100	_PolarityD3001	_PolarityD3025	_PolarityD3050	_PolarityD3075	_PolarityD3100	_PolarityT12	_PolarityT13	_PolarityT23	_PolarizabilityC1	_PolarizabilityC2	_PolarizabilityC3	_PolarizabilityD1001	_PolarizabilityD1025	_PolarizabilityD1050	_PolarizabilityD1075	_PolarizabilityD1100	_PolarizabilityD2001	_PolarizabilityD2025	_PolarizabilityD2050	_PolarizabilityD2075	_PolarizabilityD2100	_PolarizabilityD3001	_PolarizabilityD3025	_PolarizabilityD3050	_PolarizabilityD3075	_PolarizabilityD3100	_PolarizabilityT12	_PolarizabilityT13	_PolarizabilityT23	_SecondaryStrC1	_SecondaryStrC2	_SecondaryStrC3	_SecondaryStrD1001	_SecondaryStrD1025	_SecondaryStrD1050	_SecondaryStrD1075	_SecondaryStrD1100	_SecondaryStrD2001	_SecondaryStrD2025	_SecondaryStrD2050	_SecondaryStrD2075	_SecondaryStrD2100	_SecondaryStrD3001	_SecondaryStrD3025	_SecondaryStrD3050	_SecondaryStrD3075	_SecondaryStrD3100	_SecondaryStrT12	_SecondaryStrT13	_SecondaryStrT23	_SolventAccessibilityC1	_SolventAccessibilityC2	_SolventAccessibilityC3	_SolventAccessibilityD1001	_SolventAccessibilityD1025	_SolventAccessibilityD1050	_SolventAccessibilityD1075	_SolventAccessibilityD1100	_SolventAccessibilityD2001	_SolventAccessibilityD2025	_SolventAccessibilityD2050	_SolventAccessibilityD2075	_SolventAccessibilityD2100	_SolventAccessibilityD3001	_SolventAccessibilityD3025	_SolventAccessibilityD3050	_SolventAccessibilityD3075	_SolventAccessibilityD3100	_SolventAccessibilityT12	_SolventAccessibilityT13	_SolventAccessibilityT23	Class_label
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+0.14300000000000002	0.7859999999999999	0.071	50.0	57.143	50.0	50.0	57.143	7.143	14.286	42.857	78.571	100.0	28.570999999999998	28.570999999999998	28.570999999999998	28.570999999999998	28.570999999999998	0.154	0.0	0.154	0.214	0.28600000000000003	0.5	28.570999999999998	57.143	28.570999999999998	50.0	57.143	7.143	7.143	78.571	85.714	100.0	14.286	14.286	35.714	64.286	92.85700000000001	0.0	0.308	0.308	0.35700000000000004	0.429	0.214	7.143	7.143	28.570999999999998	78.571	100.0	14.286	14.286	42.857	64.286	92.85700000000001	21.429000000000002	57.143	21.429000000000002	50.0	57.143	0.385	0.077	0.231	0.5	0.0	0.14300000000000002	14.286	14.286	35.714	64.286	92.85700000000001	0	0	0	0	0	50.0	57.143	50.0	50.0	57.143	0.0	0.154	0.0	0.35700000000000004	0.429	0.214	7.143	7.143	28.570999999999998	78.571	100.0	14.286	14.286	42.857	64.286	92.85700000000001	21.429000000000002	57.143	21.429000000000002	50.0	57.143	0.385	0.077	0.231	0.35700000000000004	0.35700000000000004	0.28600000000000003	14.286	14.286	50.0	57.143	92.85700000000001	21.429000000000002	21.429000000000002	35.714	42.857	71.429	7.143	7.143	28.570999999999998	78.571	100.0	0.231	0.231	0.231	0.7859999999999999	0.214	0.0	7.143	14.286	42.857	78.571	100.0	28.570999999999998	57.143	28.570999999999998	50.0	57.143	0	0	0	0	0	0.308	0.0	0.0	0
+0.5	0.5	0.0	8.333	8.333	58.333	66.667	100.0	16.667	16.667	41.667	50.0	91.667	0.0	0.0	0.0	0.0	0.0	0.545	0.0	0.0	0.5	0.0	0.5	8.333	8.333	58.333	66.667	100.0	0.0	0.0	0.0	0.0	0.0	16.667	16.667	41.667	50.0	91.667	0.0	0.545	0.0	0.0	0.5	0.5	0.0	0.0	0.0	0.0	0.0	16.667	16.667	41.667	50.0	91.667	8.333	8.333	58.333	66.667	100.0	0.0	0.0	0.545	0.5	0.0	0.5	16.667	16.667	41.667	50.0	91.667	0	0	0	0	0	8.333	8.333	58.333	66.667	100.0	0.0	0.545	0.0	0.0	0.5	0.5	0.0	0.0	0.0	0.0	0.0	16.667	16.667	41.667	50.0	91.667	8.333	8.333	58.333	66.667	100.0	0.0	0.0	0.545	1.0	0.0	0.0	8.333	25.0	50.0	75.0	100.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5	0.5	0.0	16.667	16.667	41.667	50.0	91.667	8.333	8.333	58.333	66.667	100.0	0	0	0	0	0	0.545	0.0	0.0	0
+0.33299999999999996	0.667	0.0	11.110999999999999	100.0	11.110999999999999	66.667	100.0	22.221999999999998	22.221999999999998	44.443999999999996	55.556000000000004	88.889	0.0	0.0	0.0	0.0	0.0	0.5	0.0	0.0	0.33299999999999996	0.0	0.667	11.110999999999999	100.0	11.110999999999999	66.667	100.0	0.0	0.0	0.0	0.0	0.0	22.221999999999998	22.221999999999998	44.443999999999996	55.556000000000004	88.889	0.0	0.5	0.0	0.0	0.667	0.33299999999999996	0.0	0.0	0.0	0.0	0.0	22.221999999999998	22.221999999999998	44.443999999999996	55.556000000000004	88.889	11.110999999999999	100.0	11.110999999999999	66.667	100.0	0.0	0.0	0.5	0.667	0.0	0.33299999999999996	22.221999999999998	22.221999999999998	44.443999999999996	55.556000000000004	88.889	0	0	0	0	0	11.110999999999999	100.0	11.110999999999999	66.667	100.0	0.0	0.5	0.0	0.0	0.667	0.33299999999999996	0.0	0.0	0.0	0.0	0.0	22.221999999999998	22.221999999999998	44.443999999999996	55.556000000000004	88.889	11.110999999999999	100.0	11.110999999999999	66.667	100.0	0.0	0.0	0.5	1.0	0.0	0.0	11.110999999999999	22.221999999999998	44.443999999999996	66.667	100.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.667	0.33299999999999996	0.0	22.221999999999998	22.221999999999998	44.443999999999996	55.556000000000004	88.889	11.110999999999999	100.0	11.110999999999999	66.667	100.0	0	0	0	0	0	0.5	0.0	0.0	0
+0.14300000000000002	0.7859999999999999	0.071	50.0	57.143	50.0	50.0	57.143	7.143	14.286	42.857	78.571	100.0	28.570999999999998	28.570999999999998	28.570999999999998	28.570999999999998	28.570999999999998	0.154	0.0	0.154	0.214	0.28600000000000003	0.5	28.570999999999998	57.143	28.570999999999998	50.0	57.143	7.143	7.143	78.571	85.714	100.0	14.286	14.286	35.714	64.286	92.85700000000001	0.0	0.308	0.308	0.35700000000000004	0.429	0.214	7.143	7.143	28.570999999999998	78.571	100.0	14.286	14.286	42.857	64.286	92.85700000000001	21.429000000000002	57.143	21.429000000000002	50.0	57.143	0.385	0.077	0.231	0.5	0.0	0.14300000000000002	14.286	14.286	35.714	64.286	92.85700000000001	0	0	0	0	0	50.0	57.143	50.0	50.0	57.143	0.0	0.154	0.0	0.35700000000000004	0.429	0.214	7.143	7.143	28.570999999999998	78.571	100.0	14.286	14.286	42.857	64.286	92.85700000000001	21.429000000000002	57.143	21.429000000000002	50.0	57.143	0.385	0.077	0.231	0.35700000000000004	0.35700000000000004	0.28600000000000003	14.286	14.286	50.0	57.143	92.85700000000001	21.429000000000002	21.429000000000002	35.714	42.857	71.429	7.143	7.143	28.570999999999998	78.571	100.0	0.231	0.231	0.231	0.7859999999999999	0.214	0.0	7.143	14.286	42.857	78.571	100.0	28.570999999999998	57.143	28.570999999999998	50.0	57.143	0	0	0	0	0	0.308	0.0	0.0	0
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_Basic_Plots/PDAUG_Basic_Plots.py	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,185 @@
+from wordcloud import WordCloud, STOPWORDS 
+import matplotlib.pyplot as plt 
+import glob, os, sys
+import pandas as pd 
+import plotly.express as px
+###################################
+from wordcloud import WordCloud, STOPWORDS 
+import matplotlib.pyplot as plt 
+
+
+def ReturnPeptide(Infile):
+
+    file = open(Infile)
+    lines = file.readlines()
+
+    Index = []
+    Pep = []
+
+    for line in lines:
+        if '>' in line:
+            line = line.strip('\n')
+            line = line.strip('\r')
+            Index.append(line.strip('\n'))
+        else:
+            line = line.strip('\n')
+            line = line.strip('\r')
+            Pep.append(line)
+    return Pep, Index
+
+
+def FragReturn(Seq, d):
+
+    tokens = []
+    for seq in Seq: 
+
+        for l in range(d):
+            if l < d:
+                for x in range(int(len(seq)/d)):
+                    s = (x*d)+l
+                    e = s+d
+                    if len(seq[s:e]) == d:
+                        tokens.append(seq[s:e])
+          
+                    else:
+                        pass
+            else:
+                pass
+    return tokens
+
+def PlotWordCloud(TokenList, OutFile):
+
+    comment_words = '' 
+    stopwords = set(STOPWORDS) 
+    comment_words += " ".join(TokenList)+" "
+      
+    wordcloud = WordCloud(width = 800, height = 800, 
+                    background_color ='white', 
+                    stopwords = stopwords, 
+                    min_font_size = 10).generate(comment_words) 
+                       
+    plt.figure(figsize = (8, 8), facecolor = None) 
+    plt.imshow(wordcloud) 
+    plt.axis("off") 
+    plt.tight_layout(pad = 0) 
+    plt.savefig(OutFile,dpi=600)
+
+
+def HeatMapPlot(Infile,  IndexColumn, x_label, y_label,  Workdirpath, htmlOutDir, htmlFname):
+
+    if not os.path.exists(htmlOutDir):
+        os.makedirs(htmlOutDir)
+
+    df  = pd.read_csv(Infile, sep="\t")
+    y_ticks = list(df[IndexColumn])
+
+    fig = px.imshow(df[df.columns.tolist()[1:]], labels=dict(x=x_label, y=y_label), y=y_ticks)
+    fig.update_xaxes(side="top")
+
+    fig.write_html(os.path.join(Workdirpath, htmlOutDir, htmlFname))
+
+
+def BoxPlot(InFile, Feature, label,  Workdirpath, htmlOutDir, htmlFname):
+
+    Workdirpath = os.path.join(os.getcwd(),'report_dir')
+
+    if not os.path.exists(htmlOutDir):
+        os.makedirs(htmlOutDir)
+
+    df  = pd.read_csv(InFile, sep="\t")
+    fig = px.box(df, y=Feature, color=label, notched=True, title="Box plot of "+Feature )
+    fig.write_html(os.path.join(Workdirpath, htmlOutDir, htmlFname))
+
+
+def ScatterPlot(InFile, Feature1, Feature2, Feature3, Label, PlotType, Workdirpath, htmlOutDir, htmlFname):
+
+    Workdirpath = os.path.join(os.getcwd(),'report_dir')
+
+    if not os.path.exists(htmlOutDir):
+        os.makedirs(htmlOutDir)
+
+    df  = pd.read_csv(InFile, sep="\t")
+
+
+    if PlotType == "3D":
+        fig = px.scatter_3d(df, x=Feature1, y=Feature2, z=Feature3, color=Label)
+        fig.write_html(os.path.join(Workdirpath, htmlOutDir, htmlFname))
+
+    elif PlotType == "2D":
+        fig = px.scatter(df, x=Feature1, y=Feature2, color=Label)
+        fig.write_html(os.path.join(Workdirpath, htmlOutDir, htmlFname))
+
+
+def WordCloudPlot(InFile, d, Workdirpath, htmlOutDir, htmlFname):
+
+    Workdirpath = os.path.join(os.getcwd(),'report_dir')
+    if not os.path.exists(htmlOutDir):
+        os.makedirs(htmlOutDir)
+
+    Peps,_ = ReturnPeptide(InFile)
+    Frags = FragReturn(Peps, int(d))
+
+    PlotWordCloud(Frags, "out.png")
+    #HTML_Gen(os.path.join(Workdirpath, htmlOutDir, htmlFname))
+
+
+if __name__=="__main__":
+
+
+    import argparse
+
+    parser = argparse.ArgumentParser(description='Deployment tool')
+    subparsers = parser.add_subparsers()
+
+    HM = subparsers.add_parser('HeatMap')
+    HM.add_argument("-I", "--InFile", required=True, default=None, help="Path to target tsv file")
+    HM.add_argument("-C",  "--IndexColumn", required=True, help="")
+    HM.add_argument("-x", "--x_label", required=True, help="")
+    HM.add_argument("-y","--y_label", required=True, help="")
+    HM.add_argument("--htmlOutDir", required=False, default=os.path.join(os.getcwd(),'report_dir'), help="Path to html directory")
+    HM.add_argument("--htmlFname", required=False, help="HTML out file", default="report.html")
+    HM.add_argument("--Workdirpath", required=False, default=os.getcwd(), help="Path to working directory")
+
+    BP = subparsers.add_parser('BoxPlot')
+    BP.add_argument("-I", "--InFile", required=True, default=None, help="Input file")
+    BP.add_argument("-F", "--Feature", required=True, default=None, help="Feature list")
+    BP.add_argument("-O", "--htmlOutDir", required=False, default=os.path.join(os.getcwd(),'report_dir'),  help="Path to html dir")
+    BP.add_argument("-Hf", "--htmlFname", required=False, help="HTML out file", default="report.html")
+    BP.add_argument("-Wp", "--Workdirpath", required=False, default=os.getcwd(), help="Path to Working Directory")
+    BP.add_argument("-L", "--Label", required=False, default=False, help="Working Directory Path")
+    
+    SP = subparsers.add_parser('ScatterPlot')
+    SP.add_argument("-I", "--InFile", required=True, default=None, help="Path to target tsv file")
+    SP.add_argument("-F1", "--Feature1", required=True, default=True, help="Path to target tsv file")   
+    SP.add_argument("-F2", "--Feature2", required=True, default=True, help="Roatate ticks")
+    SP.add_argument("-F3", "--Feature3", required=False,  help="Roatate ticks")
+    SP.add_argument("-O","--htmlOutDir", required=False, default=os.path.join(os.getcwd(),'report_dir'),  help="HTML Out Dir")
+    SP.add_argument("-Hf","--htmlFname", required=False, help="HTML out file", default="jai.html")
+    SP.add_argument("-Wp","--Workdirpath", required=False, default=os.getcwd(), help="Working Directory Path")
+    SP.add_argument("-T", "--PlotType", required=True,  help="")
+    SP.add_argument("-L","--Label", required=False, default=False, help="Working Directory Path")
+
+    WC = subparsers.add_parser('WordCloud')
+    WC.add_argument("-I", "--InFile", required=True, default=None, help="Path to target tsv file")
+    WC.add_argument("-D", "--FragSize", required=True, default=None, help="Path to target tsv file")
+    WC.add_argument("-O","--htmlOutDir", required=False, default=os.path.join(os.getcwd(),'report_dir'),  help="HTML Out Dir")
+    WC.add_argument("-Hf","--htmlFname", required=False, help="HTML out file", default="report.html")
+    WC.add_argument("-Wp","--Workdirpath", required=False, default=os.getcwd(), help="Working Directory Path")
+
+
+    args = parser.parse_args()
+
+    if sys.argv[1] == "HeatMap":
+        HeatMapPlot(args.InFile,  args.IndexColumn, args.x_label, args.y_label, args.Workdirpath, args.htmlOutDir, args.htmlFname)
+                    
+    elif sys.argv[1] == "ScatterPlot":
+        ScatterPlot(args.InFile, args.Feature1, args.Feature2, args.Feature3, args.Label, args.PlotType, args.Workdirpath,  args.htmlOutDir, args.htmlFname)
+
+    elif sys.argv[1] == "BoxPlot":
+        BoxPlot(args.InFile, args.Feature, args.Label,  args.Workdirpath,  args.htmlOutDir, args.htmlFname)
+
+    elif sys.argv[1] == "WordCloud":
+        WordCloudPlot(args.InFile, args.FragSize, args.Workdirpath,  args.htmlOutDir, args.htmlFname)   
+
+    else:
+        print("In Correct Option:")
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_Basic_Plots/test-data/positive.fasta	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,276 @@
+>ACP0
+GLWSKIKEVGKEAAKAAAKAAGKAALGAVSEAV
+>ACP2
+GLFDIIKKIAESI
+>ACP4
+GLLDIVKKVVGAFGSL
+>ACP6
+GLFDIVKKVVGALGSL
+>ACP8
+GLFDIVKKVVGTLAGL
+>ACP10
+GLFDIAKKVIGVIGSL
+>ACP12
+GLFDIVKKIAGHIAGSI
+>ACP14
+GLFDIVKKIAGHIVSSI
+>ACP16
+AACARFIDDFCDTLTPNIYRPRDNGQRCYAVNGHRCDFTVFNTNNGGNPIRASTPNCKTVLRTAANRCPTGGRGKINPNAPFLFAIDPNDGDCSTNF
+>ACP18
+HGVSGHGQHGVHG
+>ACP20
+FKCRRWQWRMKKLGAPSITCVRRAF
+>ACP22
+KWKLFKKIKFLHSAKKF
+>ACP24
+KSSAYSLQMGATAIKQVKKLFKKWGW
+>ACP26
+GIGTKILGGVKTALKGALKELASTYAN
+>ACP28
+GIGGKILSGLKTALKGAAKELASTYLH
+>ACP30
+GIGGVLLSAGKAALKGLAKVLAEKYAN
+>ACP32
+SIGAKILGGVKTFFKGALKELASTYLQ
+>ACP34
+FLPLLAGLAANFLPTIICKISYKC
+>ACP36
+FVQWFSKFLGRIL
+>ACP38
+KWKIFKKIEKVGRNIRNGIIKAGPAVAVLGEAKAL
+>ACP40
+GWLKKIGKKIERVGQHTRDATIQTIGVAQQAANVAATLK
+>ACP42
+KWKLFKKIEKVGQNIRDGIIKAGPAVAVVGQATQIAK
+>ACP44
+SQLGDLGSGAGQGGGGGGSIRAAGGAFGKLEAAREEEFFYKKQKEQLERLKNDQIHQAEFHHQQIKEHEEAIQRHKDFLNNLHK
+>ACP46
+GIGKFLHSAKKFGKAFVGEIMNS
+>ACP48
+GIGAVLKVLTTGLPALISWIKRKRQQ
+>ACP50
+ALWKNMLKGIGKLAGQAALGAVKTLVGAE
+>ACP52
+ACYCRIPACIAGERRYGTCIYQGRLWAFCC
+>ACP54
+ECRRLCYKQRCVTYCRGR
+>ACP56
+LKLKSIVSWAKKVL
+>ACP58
+KWCFRVCYRGICYRRCR
+>ACP60
+KSCCRNTWARNCYNVCRLPGTISREICAKKCDCKIISGTTCPSDYPK
+>ACP62
+GLLSVLGSVAKHVLPHVVPVIAEHL
+>ACP64
+GLLSVLGSVVKHVIPHVVPVIAEHL
+>ACP66
+GLFKVLGSVAKHLLPHVAPVIAEK
+>ACP68
+GLFGVLGSIAKHVLPHVVPVIAEK
+>ACP70
+GLFVGVLAKVAAHVVPAIAEHF
+>ACP72
+GLFVGLAKVAAHNNPAIAEHFQA
+>ACP74
+GFVDFLKKVAGTIANVVT
+>ACP76
+GLLQTIKEKLESLESLAKGIVSGIQA
+>ACP78
+TRSSRAGLQFPVGRVHRLLRK
+>ACP80
+FFGWLIKGAIHAGKAIHGLIHRRRH
+>ACP82
+GLFDVIKKVASVIGGL
+>ACP84
+GLFDIIKKVASVVGGL
+>ACP86
+GRFKRFRKKFKKLFKKLSPVIPLLHLG
+>ACP88
+GGLRSLGRKILRAWKKYGPIIVPIIRIG
+>ACP90
+RRRPRPPYLPRPRPPPFFPPRLPPRIPPGFPPRFPPRFP
+>ACP92
+GLLGPLLKIAAKVGSNLL
+>ACP94
+GLICESCRKIIQKLEDMVGPQPNEDTVTQAASQVCDKLKILRGLCKKIMRSFLRRISWDILTGKKPQAICVDIKICKEKTGLI
+>ACP96
+DHYNCVSSGGQCLYSACPIFTKIQGTCYRGKAKCCK
+>ACP98
+FFHHIFRGIVHVGKTIHRLVTG
+>ACP100
+KLAKLAKKLAKLAK
+>ACP102
+KTCENLADTFRGPCFATSNC
+>ACP104
+IDWKKLLDAAKQIL
+>ACP106
+FLIGMTQGLICLITRKC
+>ACP108
+ILPILSLIGGLLGK
+>ACP110
+GLLGLLGSVVSHVVPAIVGHF
+>ACP112
+GLLGLLGSVVSHVLPAITQHL
+>ACP114
+GIKCRFCCGCCTPGICGVCCRF
+>ACP116
+QSHLSLCRWCCNCCRSNKGC
+>ACP118
+ILGPVISTIGGVLGGLLKNL
+>ACP120
+FLPILASLAAKFGPKLFCLVTKKC
+>ACP122
+GLWSKIKEAAKAAGKAALNAVTGLVNQGDQPS
+>ACP124
+LLGMIPLAISAISALSKL
+>ACP126
+GLPVCGETCVGGTCNTPGCSCSWPVCTRN
+>ACP128
+GVPICGETCTLGTCYTAGCSCSWPVCTRN
+>ACP130
+GIPCGESCVWIPCISSAIGCSCKSKVCYRN
+>ACP132
+GIPCAESCVWIPCTVTALIGCGCSNKVCYN
+>ACP134
+GTFPCGESCVFIPCLTSAIGCSCKSKVCYKN
+>ACP136
+GLLPCAESCVYIPCLTTVIGCSCKSKVCYKN
+>ACP138
+GRDYRTCLTIVQKLKKMVDKPTQRSVSNAATRVCRTGRSRWRDVCRNFMRRYQSRVTQGLVAGETAQQICEDLRLCIPSTGPL
+>ACP140
+GETDPNTQLLNDLGNNMAWGAALGAPGGLGSAALGAAGGALQTVGQGLIDHGPVNVFIPVLIGPSWNGSGSGYNSATSSSGSGS
+>ACP142
+GFKDLLKGAAKALVKTVLF
+>ACP144
+KSCCPNTTGRNIYNACRLTGAPRPTCAKLSGCKIISGSTCPSDYPK
+>ACP146
+KSCCPNTTGRNIYNTCRFGGGSREVCARISGCKIISASTCPSDYPK
+>ACP148
+KSCCPNTTGRNIYNTCRLTGSSRETCAKLSGCKIISASTCPSNYPK
+>ACP150
+MRKEFHNVLSSGQLLADKRPARDYNRK
+>ACP152
+KSCCKNTTGRNIYNTCRFAGGSRERCAKLSGCKIISASTCPSDYPK
+>ACP154
+FIFHIIKGLFHAGKMIHGLVTRRRH
+>ACP156
+FLPAIVGAAAKFLPKIFCAISKKC
+>ACP158
+FLPIIAGVAAKVLPKIFCAISKKC
+>ACP160
+FLPIIAGIAAKFLPKIFCTISKKC
+>ACP162
+FLPVIAGVAANFLPKLFCAISKKC
+>ACP164
+FLPIIAGAAAKVVQKIFCAISKKC
+>ACP166
+GLMDTIKGVAKTVAASWLDKLKCKITGC
+>ACP168
+VNWKKVLGKIIKVAK
+>ACP170
+VNWKKILGKIIKVAK
+>ACP172
+FFSLLPSLIGGLVSAIK
+>ACP174
+RFRLPFRRPPIRIHPPPFYPPFRRFL
+>ACP176
+KWKLFKKIPKFLHLAKKF
+>ACP178
+YKQCHKKGGHCFPKEKICLPPSSDFGKMDCRWRWKCCKKGSG
+>ACP180
+GIPCGESCVFIPCITGAIGCSCKSKVCYRN
+>ACP182
+GEFLKCGESCVQGECYTPGCSCDWPICKKN
+>ACP184
+GLPTCGETCTLGTCYVPDCSCSWPICMKN
+>ACP186
+GLPVCGETCFGGTCNTPGCTCDPWPVCTRN
+>ACP188
+FVDLKKIANIINSIFGK
+>ACP190
+GSIPCGESCVFIPCISSVIGCACKSKVCYKN
+>ACP192
+GIPCGESCVFIPCISSVIGCSCSSKVCYRN
+>ACP194
+GSIPCGESCVFIPCISAVIGCSCSNKVCYKN
+>ACP196
+GSIPCEGSCVFIPCISAIIGCSCSNKVCYKN
+>ACP198
+GIPCGESCVFIPCLTSAIDCSCKSKVCYRN
+>ACP200
+GMWSKILGHLIR
+>ACP202
+GKWMSLLKHILK
+>ACP204
+GFGMALKLLKKVL
+>ACP206
+GTGLPMSERRKIMLMMR
+>ACP208
+GIACGESCVFLGCFIPGCSCKSKVCYFN
+>ACP210
+GVIPCGESCVFIPCISSVLGCSCKNKVCYRD
+>ACP212
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/PDAUG_Basic_Plots/test-data/test1.tsv	Wed Oct 28 02:10:12 2020 +0000
@@ -0,0 +1,9 @@
+Algo	accuracy	presision	recall	f1	mean_auc
+SVMC	0.608	0.7809999999999999	0.608	0.537	0.608
+SGDC	0.5	0.35	0.5	0.33399999999999996	0.608
+DTC	0.608	0.7809999999999999	0.608	0.537	0.608
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+KNC	0.5	0.25	0.5	0.33299999999999996	0.608
+GNBC	0.608	0.7809999999999999	0.608	0.537	0.608
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
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e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.prototype.inotn=function(t){n("number"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,P=0|o[7],I=8191&P,z=P>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(h,U))|0)+((8191&(a=(a=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((i=Math.imul(f,V))+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),a=(a=Math.imul(d,V))+Math.imul(g,U)|0,i=Math.imul(g,V);var vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),a=(a=Math.imul(v,V))+Math.imul(y,U)|0,i=Math.imul(y,V),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,Z)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,Z)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),a=(a=Math.imul(b,V))+Math.imul(_,U)|0,i=Math.imul(_,V),n=n+Math.imul(v,H)|0,a=(a=a+Math.imul(v,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,Z)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,Z)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),a=(a=Math.imul(T,V))+Math.imul(k,U)|0,i=Math.imul(k,V),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,a=(a=a+Math.imul(v,Z)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),a=(a=Math.imul(A,V))+Math.imul(S,U)|0,i=Math.imul(S,V),n=n+Math.imul(T,H)|0,a=(a=a+Math.imul(T,G)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,Z)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,a=(a=a+Math.imul(v,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),a=(a=Math.imul(C,V))+Math.imul(L,U)|0,i=Math.imul(L,V),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,a=(a=a+Math.imul(T,Z)|0)+Math.imul(k,W)|0,i=i+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,a=(a=a+Math.imul(v,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),a=(a=Math.imul(I,V))+Math.imul(z,U)|0,i=Math.imul(z,V),n=n+Math.imul(C,H)|0,a=(a=a+Math.imul(C,G)|0)+Math.imul(L,H)|0,i=i+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,Z)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(k,J)|0,i=i+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,a=(a=a+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),a=(a=Math.imul(D,V))+Math.imul(R,U)|0,i=Math.imul(R,V),n=n+Math.imul(I,H)|0,a=(a=a+Math.imul(I,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,a=(a=a+Math.imul(C,Z)|0)+Math.imul(L,W)|0,i=i+Math.imul(L,Z)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,a=(a=a+Math.imul(T,tt)|0)+Math.imul(k,$)|0,i=i+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(v,it)|0,a=(a=a+Math.imul(v,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),a=(a=Math.imul(B,V))+Math.imul(N,U)|0,i=Math.imul(N,V),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,a=(a=a+Math.imul(I,Z)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,Z)|0,n=n+Math.imul(C,J)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,a=(a=a+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,i=i+Math.imul(k,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,a=(a=a+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,Z)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,a=(a=a+Math.imul(I,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,a=(a=a+Math.imul(C,tt)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(T,it)|0,a=(a=a+Math.imul(T,ot)|0)+Math.imul(k,it)|0,i=i+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,a=(a=a+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,Z))+Math.imul(N,W)|0,i=Math.imul(N,Z),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,a=(a=a+Math.imul(I,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,a=(a=a+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,a=(a=a+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,i=i+Math.imul(k,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(a=(a=a+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,a=(a=a+Math.imul(I,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(C,it)|0,a=(a=a+Math.imul(C,ot)|0)+Math.imul(L,it)|0,i=i+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,a=(a=a+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,i=i+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(I,it)|0,a=(a=a+Math.imul(I,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,a=(a=a+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,i=i+Math.imul(L,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(a=(a=a+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((i=i+Math.imul(k,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,a=(a=a+Math.imul(I,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,a=(a=a+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(I,ht)|0,a=(a=a+Math.imul(I,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(a=(a=a+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((i=i+Math.imul(L,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(a=(a=a+Math.imul(I,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=It,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=h*m-f*v;v=h*v+f*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n("number"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if("mod"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(a=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,"div",!1).div},i.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},i.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction 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+ */
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+/*!
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+ * @copyright Copyright (c) 2014 Yehuda Katz, Tom Dale, Stefan Penner and contributors (Conversion to ES6 API by Jake Archibald)
+ * @license   Licensed under MIT license
+ *            See https://raw.githubusercontent.com/stefanpenner/es6-promise/master/LICENSE
+ * @version   v4.2.8+1e68dce6
+ */
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n=t("./lib/text.js"),a=t("./lib/lines.js"),i=t("./lib/background.js"),o=t("./lib/cube.js"),s=t("./lib/ticks.js"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=i(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if("bounds"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if("ticks"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i("tickSpacing")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(u=!0),i("tickSize"),i("tickAngle"),i("tickPad"),c("tickColor");var g=l("labels");l("labelFont")&&(g=!0),o("labelEnable"),i("labelSize"),i("labelPad"),c("labelColor"),o("lineEnable"),o("lineMirror"),i("lineWidth"),c("lineColor"),o("lineTickEnable"),o("lineTickMirror"),i("lineTickLength"),i("lineTickWidth"),c("lineTickColor"),o("gridEnable"),i("gridWidth"),c("gridColor"),o("zeroEnable"),c("zeroLineColor"),i("zeroLineWidth"),o("backgroundEnable"),c("backgroundColor"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]="auto"):this.tickAlign[M]=-1,F=1,"auto"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),"auto"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":251,"./lib/cube.js":252,"./lib/lines.js":253,"./lib/text.js":255,"./lib/ticks.js":256}],251:[function(t,e,r){"use strict";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t("gl-buffer"),a=t("gl-vao"),i=t("./shaders").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders":254,"gl-buffer":258,"gl-vao":332}],252:[function(t,e,r){"use strict";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t("bit-twiddle"),a=t("gl-mat4/multiply"),i=t("split-polygon"),o=t("robust-orientation"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{"bit-twiddle":97,"gl-mat4/multiply":280,"robust-orientation":520,"split-polygon":538}],253:[function(t,e,r){"use strict";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t("gl-buffer"),a=t("gl-vao"),i=t("./shaders").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{"./shaders":254,"gl-buffer":258,"gl-vao":332}],254:[function(t,e,r){"use strict";var n=t("glslify"),a=t("gl-shader"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.line=function(t){return a(t,i,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 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using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? 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HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.text=function(t){return a(t,s,l,null,[{name:"position",type:"vec3"}])};var c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);r.bg=function(t){return 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g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t("_process"))},{"./shaders":254,_process:500,"gl-buffer":258,"gl-vao":332,"vectorize-text":572}],256:[function(t,e,r){"use 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f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t("extract-frustum-planes"),a=t("split-polygon"),i=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],m=[0,0,0]},{"./lib/cube.js":252,"extract-frustum-planes":240,"gl-mat4/multiply":280,"gl-mat4/transpose":289,"gl-vec4/transformMat4":403,"split-polygon":538}],258:[function(t,e,r){"use strict";var n=t("typedarray-pool"),a=t("ndarray-ops"),i=t("ndarray"),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&"undefined"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,"uint16"):u(t,"float32"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if("object"==typeof t&&"number"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:469,"ndarray-ops":464,"typedarray-pool":567}],259:[function(t,e,r){"use strict";var n=t("gl-vec3");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t("./lib/shaders");e.exports.createMesh=t("./create_mesh"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:"cone"})}},{"./create_mesh":260,"./lib/shaders":261,"gl-vec3":351}],260:[function(t,e,r){"use strict";var n=t("gl-shader"),a=t("gl-buffer"),i=t("gl-vao"),o=t("gl-texture2d"),s=t("gl-mat4/multiply"),l=t("gl-mat4/invert"),c=t("ndarray"),u=t("colormap"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?a.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||"cone");return b.update(e),b}},{colormap:131,"gl-buffer":258,"gl-mat4/invert":278,"gl-mat4/multiply":280,"gl-shader":312,"gl-texture2d":327,"gl-vao":332,ndarray:469}],261:[function(t,e,r){var n=t("glslify"),a=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),i=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:413}],262:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],263:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":262}],264:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=a(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=i(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),a=t("gl-vao"),i=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var o=a[i];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return a.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var a=[],i=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<i;++l){for(var u=r[l],f=0;f<3;++f)if(isNaN(u[f])||!isFinite(u[f]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var g;if(p[0][s]<0)(g=u.slice())[s]+=p[0][s],a.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(a,g,d,s);if(p[1][s]>0)(g=u.slice())[s]+=p[1][s],a.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(a,g,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(a)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":265,"gl-buffer":258,"gl-vao":332}],265:[function(t,e,r){"use strict";var n=t("glslify"),a=t("gl-shader"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y