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typescript
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Script started on Mon 31 May 2021 04:51:31 PM CEST
(base) allardp@FARMA-NONMEM:~/is_fragmentation$ dvc pull data/processed/ -j 4[Kscr[K[K[Kcs[Kd scripts/
(base) allardp@FARMA-NONMEM:~/is_fragmentation/scripts$ ls
coconut_subsetter.R global_launch_openpdb.sh raw_log_treater.py table_adducter.py treat_npatlas.py
environment.yml increment_coconut_bash.sh table_adducter_frominchi_script.py table_adducter_script.py
frag_list_preparator.py increment_npatlas_bash.sh table_adducter_npatlas.py table_comparater_rdkit.py
global_launch_coconutfrag.sh increment_opennpdb_bash.sh table_adducter_npatlas_script.py table_comparator.py
global_launch_npatlas.sh mgf_header_populater.py table_adducter_opennp_script.py treat_coconut_draft_pm.py
(base) allardp@FARMA-NONMEM:~/is_fragmentation/scripts$ ls -lart
total 108
-rwxr-xr-x 1 allardp utilisateurs du domaine 4709 May 14 15:18 treat_npatlas.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 4660 May 14 15:18 treat_coconut_draft_pm.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 1066 May 14 15:18 table_comparator.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 4991 May 14 15:18 table_comparater_rdkit.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 1128 May 14 15:18 table_adducter_script.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 1151 May 14 15:18 table_adducter.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 1144 May 14 15:18 table_adducter_opennp_script.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 1002 May 14 15:18 table_adducter_npatlas_script.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 1232 May 14 15:18 table_adducter_npatlas.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 1126 May 14 15:18 table_adducter_frominchi_script.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 2307 May 14 15:18 raw_log_treater.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 4888 May 14 15:18 mgf_header_populater.py
-rwxr-xr-x 1 allardp utilisateurs du domaine 205 May 14 15:18 increment_opennpdb_bash.sh
-rwxr-xr-x 1 allardp utilisateurs du domaine 209 May 14 15:18 increment_npatlas_bash.sh
-rwxr-xr-x 1 allardp utilisateurs du domaine 202 May 14 15:18 increment_coconut_bash.sh
-rw-r--r-- 1 allardp utilisateurs du domaine 127 May 14 15:18 global_launch_openpdb.sh
-rwxr-xr-x 1 allardp utilisateurs du domaine 126 May 14 15:18 global_launch_npatlas.sh
-rwxr-xr-x 1 allardp utilisateurs du domaine 119 May 14 15:18 global_launch_coconutfrag.sh
-rwxr-xr-x 1 allardp utilisateurs du domaine 1120 May 14 15:18 frag_list_preparator.py
-rw-r--r-- 1 allardp utilisateurs du domaine 1636 May 14 15:18 environment.yml
-rwxr-xr-x 1 allardp utilisateurs du domaine 629 May 14 15:18 coconut_subsetter.R
drwxr-xr-x 2 allardp utilisateurs du domaine 4096 May 14 15:18 .
drwxr-xr-x 8 allardp utilisateurs du domaine 4096 May 31 16:51 ..
(base) allardp@FARMA-NONMEM:~/is_fragmentation/scripts$ nano raw_log_treater.py
[?1049h[1;54r(B[m[4l[?7h[?1h=[?1h=[?1h=[39;49m[?25l[39;49m(B[m[H[2J[52;69H(B[0;7m[ Reading File ](B[m[52;68H(B[0;7m[ Read 73 lines ](B[m[H[39;49m(B[0;7m GNU nano 2.7.4 File: raw_log_treater.py [4;1H(B[0;1m[31m#%%[6d### This cleans raw .log cfm-predict output to yield clean spectral files for mgf header population[8d[36mimport[39m(B[m glob[9d(B[0;1m[36mimport[39m(B[m re[10d(B[0;1m[36mimport[39m(B[m pandas (B[0;1m[36mas[39m(B[m pd[11d(B[0;1m[36mimport[39m(B[m os[12d(B[0;1m[36mimport[39m(B[m sys[14d(B[0;1m[31m## define help menu(B[0m[42m [16d(B[0;1m[36mtry[39m(B[m:[17ddirectory_name=sys.argv[1][18;5Hextension_type=sys.argv[2][19;5H(B[0;1m[36mprint[39m(B[m((B[0;1m[32m'Parsing directory'[39m(B[m + directory_name + (B[0;1m[32m' with file extension :'[39m(B[m + extension_type)[20d(B[0;1m[36mexcept[39m(B[m:[21;5H(B[0;1m[36mprint[39m(B[m((B[0;1m[32m'Please pass parent directory, where the .log files are placed'[39m(B[m)[24ddone = 0[25dskipped = 0[27d(B[0;1m[31m# this regex allows to suck only the two first columns of floats[28d[39m(B[mp = re.compile(r(B[0;1m[32m'^^([0-9]*\.{1}[0-9]*) ([0-9]*\.{1}[0-9]*)'[39m(B[m, re.M)[30d(B[0;1m[31m## we iterate over each .log file of the following folder[31d#for filename in glob.iglob('../npatlas_data/results_npatlas/*.log', recursive=True):[33d[36mfor[39m(B[m filename (B[0;1m[36min[39m(B[m glob.iglob(str(directory_name) + (B[0;1m[32m'*'[39m(B[m + str(extension_type), recursive=True):[34d[42m [35d(B[0;1m[36mtry[39m(B[m:[36d(B[0;1m[31m #we then get a first block corresponding to masses only[37;9H[39m(B[mcoco_masses = open(filename,(B[0;1m[32m'r'[39m(B[m).read().split((B[0;1m[32m'\n\n'[39m(B[m)[38;8H[42m[1K[39d(B[0;1m[31m # and split this block according to te energy pattern[40;9H[39m(B[mcoco_split = re.split((B[0;1m[32m'energy.*'[39m(B[m, str(coco_masses[0]))[41;8H[42m[1K[42d[1K[43d(B[0;1m[31m # since we want to keep all of them we append them to a unique df, order them by mass[44;9H[39m(B[mcoco_list_energy_all = pd.DataFrame(re.findall(p, coco_split[1]))[45;9Hcoco_list_energy_all = coco_list_energy_all.append(pd.DataFrame(re.findall(p, coco_split[2])))[46;9Hcoco_list_energy_all = coco_list_energy_all.append(pd.DataFrame(re.findall(p, coco_split[3])))[47;8H[42m[1K[48;9H[49m(B[mcoco_list_energy_all.rename(columns={0:(B[0;1m[32m'mass'[39m(B[m},inplace=True)[49;8H[42m[1K[50;9H[49m(B[mcoco_list_energy_all[(B[0;1m[32m'mass'[39m(B[m] = pd.to_numeric(coco_list_energy_all[(B[0;1m[32m'mass'[39m(B[m], errors=(B[0;1m[32m'coerce'[39m(B[m)[51;8H[42m[1K[53d[49m(B[0;7m^G(B[m Get Help (B[0;7m^O(B[m Write Out (B[0;7m^W(B[m Where Is (B[0;7m^K(B[m Cut Text (B[0;7m^J(B[m Justify[81G(B[0;7m^C(B[m Cur Pos[97G(B[0;7m^Y(B[m Prev Page (B[0;7mM-\(B[m First Line (B[0;7mM-W(B[m WhereIs Next[54d(B[0;7m^X(B[m Exit[54;17H(B[0;7m^R(B[m Read File (B[0;7m^\(B[m Replace[49G(B[0;7m^U(B[m Uncut Text (B[0;7m^T(B[m To Linter (B[0;7m^_(B[m Go To Line (B[0;7m^V(B[m Next Page (B[0;7mM-/(B[m Last Line (B[0;7mM-](B[m To Bracket[52d[?12l[?25h[3d[4d[5d[6d[7d[8d[9d[10d[11d[12d[13d[14d[15d[16d[17d[18d[19d[20d[21d[22d[23d[24d[25d[26d[27d[28d[52d[K[29d[30d[31d[32d[33d[34d[35d[36d[37d[38d[39d[40d[41d[42d[43d[44d[45d[46d[47d[48d[49d[50d[51d7[3;52r8[52d[25S[1;54r[27;8H[42m[1K[28d[1K[29;9H[49m(B[mcoco_list_energy_all = coco_list_energy_all.sort_values((B[0;1m[32m'mass'[39m(B[m, ascending = True)[30;8H[42m[1K[31d [32;8H(B[0;1m[31m # uncomment if you want to output to a differnt filename[33;9H[39m(B[mmgf_filename = filename.split((B[0;1m[32m'.log'[39m(B[m)[0]+(B[0;1m[32m'.mgf'[34;8H(B[0m[42m[1K[35d(B[0;1m[31m # be carefull here we'll crush the original files[36;9H[39m(B[mcoco_list_energy_all.to_csv(mgf_filename,sep=(B[0;1m[32m' '[39m(B[m, index=False, header=False)[37;8H[42m[1K[39;9H[49m(B[mos.remove(filename)[40;8H[42m[1K[41;9H[49m(B[mdone += 1[42;8H[42m[1K[43;5H(B[0;1m[36mexcept[39m(B[m Exception (B[0;1m[36mas[39m(B[m er:[44;9H(B[0;1m[36mprint[39m(B[m(er, filename)[45;9Hskipped += 1[46d[42m [47d(B[0;1m[36mprint[39m(B[m((B[0;1m[32m'Treated {} files, skipped {}'[39m(B[m.format(done, skipped))[50d[42m [27d[49m(B[m[28d[29d[30d[31d[32d[33d[34d[35d[36d[37d[38d[39d[40d[41d[42d[43d[44d[45d[46d[47d[48d[49d[50d[51d[A[A[A[A[A[A[A[42d[40d[38d[36d[34d[32d[30d[28d[26d[24d[22d[20d[18d[16d[14d[12d[10d[8d[6d[4d[2;52r[2;1H[25T[1;54r[4;1H(B[0;1m[31m#%%[6d### This cleans raw .log cfm-predict output to yield clean spectral files for mgf header population[8d[36mimport[39m(B[m glob[9d(B[0;1m[36mimport[39m(B[m re[10d(B[0;1m[36mimport[39m(B[m pandas (B[0;1m[36mas[39m(B[m pd[11d(B[0;1m[36mimport[39m(B[m os[12d(B[0;1m[36mimport[39m(B[m sys[14d(B[0;1m[31m## define help menu(B[0m[42m [16d(B[0;1m[36mtry[39m(B[m:[17ddirectory_name=sys.argv[1][18;5Hextension_type=sys.argv[2][19;5H(B[0;1m[36mprint[39m(B[m((B[0;1m[32m'Parsing directory'[39m(B[m + directory_name + (B[0;1m[32m' with file extension :'[39m(B[m + extension_type)[20d(B[0;1m[36mexcept[39m(B[m:[21;5H(B[0;1m[36mprint[39m(B[m((B[0;1m[32m'Please pass parent directory, where the .log files are placed'[39m(B[m)[24ddone = 0[25dskipped = 0[27d(B[0;1m[31m# this regex allows to suck only the two first columns of floats[52d[39m(B[m[K[27d[25d[23d[21d[19d[17d[15d[13d[11d[9d[7d[5d[3d[53d[J[54;152H[54;1H[?1049l[?1l>(base) allardp@FARMA-NONMEM:~/is_fragmentation/scripts$ nano raw_log_treater.py [Kpython raw_log_treater.py ../coconut_data/results_coconut/ .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .log[1P .logl .logo .logt .logus_data/ .logl .logo .logt .logus_data_f .logr .logagged .log_ .logsub/ .log
Parsing directory../lotus_data/lotus_data_fragged_sub/ with file extension :.log
Treated 0 files, skipped 0
(base) allardp@FARMA-NONMEM:~/is_fragmentation/scripts$ python raw_log_treater.py ../lotus_data/lotus_data_fragged_sub/ .log[Cl .logo .logtus_00000/ .log
Parsing directory../lotus_data/lotus_data_fragged_sub/lotus_00000/ with file extension :.log
Treated 480 files, skipped 0
(base) allardp@FARMA-NONMEM:~/is_fragmentation/scripts$ cd ..
(base) allardp@FARMA-NONMEM:~/is_fragmentation$ ls
coconut_data lotus_data npatlas_data open_np_db_data README.md recipeee_lotus_data.md scripts typescript
(base) allardp@FARMA-NONMEM:~/is_fragmentation$ cd lotus_data/
(base) allardp@FARMA-NONMEM:~/is_fragmentation/lotus_data$ cd lotus_data_fragged_sub/
(base) allardp@FARMA-NONMEM:~/is_fragmentation/lotus_data/lotus_data_fragged_sub$ l
bash: l: command not found
(base) allardp@FARMA-NONMEM:~/is_fragmentation/lotus_data/lotus_data_fragged_sub$ ;[Kls
lotus_00000
(base) allardp@FARMA-NONMEM:~/is_fragmentation/lotus_data/lotus_data_fragged_sub$ cd lotus_00000/
(base) allardp@FARMA-NONMEM:~/is_fragmentation/lotus_data/lotus_data_fragged_sub/lotus_00000$ k[K;s[K[Kls
ADDKDISNWQJHTB.mgf DQAUXZPAFJGMFY.mgf IOTWPQUPONPIDO.mgf MDQFAQCGXKCBSD.mgf PPGIXBRQOKVAOF.mgf TYRFEVQPCMILQH.mgf WYMYMRJMKNLHSF.mgf
AGBUFXKCPXMWJO.mgf DQIUVZDBJDWELT.mgf IPCRXJIEGNBCCT.mgf MDSIZRKJVDMQOQ.mgf PQZAVXWUUFLUKB.mgf TYZFMFVWHZKYSE.mgf XBKBUMFBHNQOLC.mgf
AGQLDIHTHSYJSO.mgf DSKIDUNBDYEEPW.mgf IPGKTVXKXFTVCI.mgf MGCIFJUWYBXMLR.mgf PYDWQIQFFVIPKS.mgf TZNJKOLXWHXDAF.mgf XBUWNEMZEWOHAM.mgf
AIFOYZPMMDINRH.mgf DTLNHSKTUGGNSN.mgf IQDXUIYYOHUTIJ.mgf MGQRRMONVLMKJL.mgf PYXQFWFSLQUHTR.mgf UCFHILKWDMUAPS.mgf XCCMTSQCKFKVKN.mgf
AJWMDBSONSCIBO.mgf DUWMWGHZABRRPE.mgf IUAADJZSNKQVBP.mgf MHQNSWVXEZWTNS.mgf QBLAXSQJLRLDOX.mgf UDPFVNCNMONXIZ.mgf XENWZCCFCCBVBW.mgf
ALAQEDWQAUOEPW.mgf FCWGDSOVESPPQW.mgf IUQHEWBZZLUJDK.mgf MIFIATANNUYFKT.mgf QBUNWYIRJPTIPL.mgf UEMDSBBIQGNQBE.mgf XHEHRJGOTYDGPW.mgf
AMHRJECVFUMSRO.mgf FEDCLDXCMSJRKZ.mgf IVHWSRZBLXWWKG.mgf MJHMXBDRUWSJOS.mgf QCRMBEPWHHSLBG.mgf UEYGEYGDPNGZNX.mgf XINGYLGYQVZMQW.mgf
AMHSZZSFHWXRHS.mgf FFAIIGXWYKYCIA.mgf JAUGBAXGBLMAFC.mgf MKLIXQONAHLJMD.mgf QDIMJFMCSOENRG.mgf UFSHFPYNWSGTKQ.mgf XJDXKIUXELETKN.mgf
APXPXGLEPCQMPK.mgf FHRITCJVZOZTCB.mgf JFGVTUJBHHZRAB.mgf MLYVKQKXGXBDRS.mgf QENPJKGENOZEEJ.mgf UGWHVQQGJOHHBA.mgf XJFYVHQSQCXVIW.mgf
AQNZLWYQYFPMBX.mgf FIYVYLXUXMBTHU.mgf JFWJNOHZNZBPHB.mgf MMBKTXHLHWXDKF.mgf QFGMXPJWRJAIMB.mgf UJDROKCPMXMUHR.mgf XKPSFUWXVLJUDU.mgf
AQUXTCZWTTUERG.mgf FNNUDGQYZRNZLO.mgf JGWUMWFTSVAGHR.mgf MMODARXIJRCRGL.mgf QHKOGTORRDLFRJ.mgf UJTMXRIWVFBDOD.mgf XLDHIOLFESHLLG.mgf
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AQZGSGDRSDVNBJ.mgf FPOCEOORHZHPFG.mgf JHZAQNFLUSEYDA.mgf MNZVNPXBJGMTLY.mgf QKKMIGCJLMONMJ.mgf ULIGBXUBZPUQCQ.mgf XPSICPWSXXRXAE.mgf
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BTUHHAQSMFJQRD.mgf GTDLILFCRHJTRW.mgf KLVRIQJCAXOVFD.mgf NOBVHXZAVPKZQU.mgf RKGXITCTNQJXRZ.mgf VJWOTCPOLBNAAS.mgf YPWFIMVHFFOLQG.mgf
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BVUXDWXKPROUDO.mgf GYHJUGYOSOGTKF.mgf KPYIEJPLOPRUQO.mgf NPLLLIJXJPLNRA.mgf RQQKJGCMOJSSOV.mgf VLOSGEBNEZBLPE.mgf YSUNTCFANVCMAP.mgf
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BZDXICZLRPLJBC.mgf HGWRMRQVIAZNKF.mgf KYSBNLNFPBYQKY.mgf ODGHZFOGPPEMMC.mgf RZNATETXOLMHBQ.mgf VUSYNKRRHWWULJ.mgf ZAMIPZQEKMLQII.mgf
CAQZBKMAHAUBPO.mgf HHVTYVRGZBQDQH.mgf LAKBZOLMESAODV.mgf OFLXNHNYPQPQKW.mgf SBNSIPRBVZPJSK.mgf VVATXCLGPZNOEX.mgf ZCCOSAFBTMVYPD.mgf
CAWZFQGJUGEKFU.mgf HLRSUXYDFOFRIS.mgf LAPJSFKZTWJPRA.mgf OILIDQCJCUQAGV.mgf SCBJHIRPSFTUCR.mgf VVYNHHHMIZBQFU.mgf ZESUNCGUDLWMQQ.mgf
CAXDNOAMAQQQMX.mgf HONDRXSXJXGIMJ.mgf LBLFKZKGYZPTGD.mgf OQCBJFYTNWYVQJ.mgf SDLBXPCJERQMDS.mgf VVZHHHVNNORUTG.mgf ZFBPWHPPYONXTQ.mgf
CBCMYJMFDLVEHM.mgf HPVDVZANUAGIRR.mgf LCUIFGBGYLXLCJ.mgf ORUKJJWOQDYSJV.mgf SEPQFXPDIMVKKD.mgf VWORJFAFBYIQNV.mgf ZFINLBNTHRUTKY.mgf
CCMAOVDWTXGECN.mgf HQXZFOYNUXKUNE.mgf LHPZURMBUGIBAH.mgf OSAGTNBHNXMLCZ.mgf SHPQYACTZRUFPF.mgf VXRVSZBTULKIDG.mgf ZGYYPTJWJBEXBC.mgf
CEHGKENYDAWPIF.mgf HRTWROLCNILHTD.mgf LHRXYBIUMYAXOQ.mgf OTAUUXKGESXLNO.mgf SJCBSMQXQMAMBG.mgf VXYKGOAXVHSLDD.mgf ZHBNZYWJCHZKLZ.mgf
CHWNEIVBYREQRF.mgf HUAZTTPKCIIDCX.mgf LIAGYBNBPQYUKV.mgf OUGBROVDXLDXGX.mgf SJILJXPJTCMLJN.mgf WAGZSQGCUXDBOA.mgf ZHVXITBCDFFAFT.mgf
CIWWONHFDUMHHK.mgf HUGUOUHNCAOWKL.mgf LJHHMQUATGPVRG.mgf OVOAWDOEFJNCGI.mgf SJZVWMQXLNGSLZ.mgf WBCHSPUMCHSUEN.mgf ZITBJWXLODLDRH.mgf
COFIVWDWWDQMEE.mgf HWBZRIWQHAFKRC.mgf LMBAOEUOOJDUBP.mgf OWAMFRTVMGAVTD.mgf SKSDIVKAMYSIIU.mgf WBRFGGALJLWUPX.mgf ZKFDABCPJJNVQI.mgf
CPDMKDOXBXJZGN.mgf HYCCAOCVKAYISV.mgf LMBOHFYTEYIWQI.mgf OYWZANJFAABISX.mgf SKWTXGMULLCOGN.mgf WCAFCVFPRLBNFI.mgf ZLGNMKLLPHRMEP.mgf
CPUZPCQKJSNKFX.mgf HYEAPURZFVBJJS.mgf LMHWQKUFQSKBRW.mgf PBUXHGSQPUIPBP.mgf SMTDMFRTXBYMQF.mgf WCCLQCBKBPTODV.mgf ZMDDPERBGNFDFV.mgf
CSSYVPGEVYWPNO.mgf HYGFSUQJOBSOGP.mgf LMMUFUFTSHITNC.mgf PBYZCDIEUANPBF.mgf SNOBWXYEYPVFJD.mgf WCSXQBAXPUYDDV.mgf ZMWYQPJNVHQLDL.mgf
DAWBGYHPBBDHMQ.mgf HZVBMWDBPDFSPH.mgf LOQUYCNWTOCMPN.mgf PEENKJZANBYXNB.mgf SOEUDVCBOJIOHW.mgf WDKKUOYIQZUWGE.mgf ZRBQVGQYLUIZRB.mgf
DCMFCKYUHQMPCN.mgf IBWYXPHFIPEJPY.mgf LPXBGYZBFXJFMF.mgf PFEONCRYEIUWTD.mgf SOYHARMPAMYKRF.mgf WGZYSTIDWIUWFX.mgf ZSQWOOAPZBZGAZ.mgf
DDMOCQMJMNUAOU.mgf IGQGIXAPAZFWCV.mgf LRCFLRKUHDOCEO.mgf PGSALOAMGJWKTR.mgf SRCUGAJTUBSCHO.mgf WHJUXIMYCYVBTA.mgf ZTVARABXQUKKAM.mgf
DDZNWWAQLJVKSQ.mgf IHHQHUMLWMNJGX.mgf LRFHJTKTRAEERT.mgf PHIXKQDGLSTYQU.mgf STJAWXNXWLRHTH.mgf WKJZIQIXVSYOPI.mgf ZUHSRZLUGOUPFT.mgf
DEWITVCPIVXLOM.mgf IIBUEQHHHKZBET.mgf LSGHOKWJGLEFMI.mgf PJARCWUPTRGVLQ.mgf SUGOMISAOTYSMN.mgf WKUKGIOEHKVKMX.mgf ZVDLHKYDXJFAAO.mgf
DJEFMARUYRITFP.mgf IIHXSJJFQSDLJE.mgf LSOUUZUUCMEZRW.mgf PLYWMZLCINZLTG.mgf SUHIRCMTPMDNGD.mgf WMOBDZAAEXKNGQ.mgf ZVEZLHVYHCHUEI.mgf
DKHFLDXCKWDVMF.mgf IJVAPODNWOMMSL.mgf LSTLYZXGCRQSIN.mgf PMGCKUQOPBVFGF.mgf SUMSMGMHAXRNEQ.mgf WOVLPCZTNQXBBM.mgf ZWNUUXTVNSWVNB.mgf
DKJGWIKRAGVVKN.mgf IKGIBJMOMXWXQL.mgf LTUSMYBYNGEWAQ.mgf PMKHEKMZTWMVJX.mgf SUNFNBPOXNNWGR.mgf WQBRQZUREPTGLI.mgf ZWYPHHJZHMMOCK.mgf
DLEWZBMIRXCONF.mgf IKJTUCODOYKLLD.mgf LWYAMIUSVGPFKS.mgf PNIWLNAGKUGXDO.mgf SWPZRXBZBMWKJC.mgf WQKPCUXADMQWGU.mgf ZYDCDVFZHZRISH.mgf
DLRAWGGINAZULN.mgf ILXHONJSQKQPJO.mgf LXDYYKKSSHBWGU.mgf PNQPOQLVRGUGGA.mgf SYEWMKBCQCNFPV.mgf WTIXFZHNOBZELM.mgf ZZBYDHWGFRRSDG.mgf
DMCOMPYCVOEFMC.mgf IMGRRXXTMXIKTA.mgf LXJHQFGNWFLQTR.mgf PNULYALODGNHHJ.mgf TWPAWMRKQXITJT.mgf WUEKEPWPDVRLTE.mgf
DOEMYGSTCKVEGR.mgf INFJHWZENZWEQZ.mgf LYYDEPKDTUIGFR.mgf POQFUQALGOGOGQ.mgf TXJUGISOVAMAEN.mgf WUNZIYOSQUBHSA.mgf
DOUCVPKCQVKZTF.mgf INXWZSVGTHMNEU.mgf LZJLUBUKNPNGNF.mgf PPDXZOHVPPHYBY.mgf TYDKQXGEEOVOAX.mgf WVXXLSBPRGHRHS.mgf
(base) allardp@FARMA-NONMEM:~/is_fragmentation/lotus_data/lotus_data_fragged_sub/lotus_00000$ nano [K[K[K[K[Kless WVXXLSBPRGHRHS.mgf
[?1049h[?1h=39.02292652 0.001841469588
39.02292652 0.02958802197
39.02292652 0.9839438421
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[7mWVXXLSBPRGHRHS.mgf[27m[K[K [KESCESC[KOO[KBB[K93.0334912 0.002954569946
:[K[K [KESCESC[KOO[KBB[K94.06512568 0.6547430893
:[K[K [KESCESC[KOO[KBB[K94.06512568 0.315085635
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:[K[K [KESCESC[KOO[KBB[K98.0600403 0.1640952323
:[K[K [KESCESC[KOO[KBB[K98.0600403 0.08548697164
:[K[K [KESCESC[KOO[KBB[K100.07569040000001 0.3413265258
:[K[K [KESCESC[KOO[KBB[K100.07569040000001 0.2794949451
:[K[K [KESCESC[KOO[KBB[K100.07569040000001 0.4308162485
:[K[K [KESCESC[KOO[KBB[K102.0913404 0.2701190681
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:[K[K [KESCESC[KOO[KBB[K102.0913404 0.1592129619
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:[K[K [KESCESC[KOO[KBB[K104.0494756 0.008262666974
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:[K[K [KESCESC[KOO[KBB[K109.0647913 0.03992467388
:[K[K [KESCESC[KOO[KBB[K109.0647913 0.1547062793
:[K[K [KESCESC[KOO[KBB[K110.0600403 0.2662013499
:[K[K [KESCESC[KOO[KBB[K110.0600403 0.401705482
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:[K[K [KESCESC[KOO[KBB[K110.09642579999999 0.0324728263
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:[K[K [KESCESC[KOO[KBB[K111.08044140000001 0.0121824626
:[K[K [KESCESC[KOO[KBB[K111.08044140000001 0.1001508602
:[K[K [KESCESC[KOO[KBB[K111.08044140000001 0.02851773137
:[K[K [KESCESC[KOO[KBB[K112.07569040000001 0.343327661
:[K[K [KESCESC[KOO[KBB[K112.07569040000001 0.5714867131
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:[K[K [KESCESC[KOO[KBB[K114.0913404 0.1989149689
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:[K[K [KESCESC[KOO[KBB[K122.09642579999999 0.1849841092
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:[K[K [KESCESC[KOO[KBB[K124.07569040000001 0.2685660213
:[K[K [KESCESC[KOO[KBB[K124.07569040000001 0.1640952323
:[K[K [KESCESC[KOO[KBB[K124.07569040000001 0.08548697164
:[K[K [KESCESC[KOO[KBB[K124.11207590000001 0.2201316662
:[K[K [KESCESC[KOO[KBB[K124.11207590000001 0.02796770403
:[K[K [KESCESC[KOO[KBB[K124.11207590000001 0.08154297102
:[K[K [KESCESC[KOO[KBB[K126.0913404 0.2402654401
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:[K[K [KESCESC[KOO[KBB[K126.0913404 0.3022942056
:[K[K [KESCESC[KOO[KBB[K128.1069905 0.1407177619
:[K[K [KESCESC[KOO[KBB[K128.1069905 0.1842453464
:[K[K [KESCESC[KOO[KBB[K128.1069905 0.1154218516
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